performance-based training manual: Topics by Science.gov

Sample records for performance-based training manual

Treatment manuals, training and successful provision of stop smoking behavioural support.

PubMed

Brose, Leonie S; McEwen, Andy; Michie, Susan; West, Robert; Chew, Xie Yin; Lorencatto, Fabiana

2015-08-01

Translating evidence-based behaviour change interventions into practice is aided by use of treatment manuals specifying the recommended content and format of interventions, and evidence-based training. This study examined whether outcomes of stop smoking behavioural support differed with practitioner's use and evaluation of treatment manuals, or practitioner's training. English stop smoking practitioners were invited to complete an online survey including questions on: practitioners' training, availability, use and perceived utility of manuals, and annual biochemically-validated success rates of quit attempts supported (practitioner-reported). Mean success rates were compared between practitioners with/without access to manuals, those using/not using manuals, perceived utility ratings of manuals, and consecutive levels of training completed. Success rates were higher if practitioners had a manual (Mean (SD) = 54.0 (24.0) versus 48.0 (25.3), t(838) = 2.48, p = 0.013; n = 840), used a manual (F(2,8237) = 4.78, p = 0.009, n = 840), perceived manuals as more useful (F(3,834) = 2.90, p = 0.034, n = 840), and had completed training (F(3,709) = 4.81, p = 0.002, n = 713). Differences were diminished when adjusting for professional and demographic characteristics and no longer reached statistical significance using a conventional alpha for perceived utility of manuals and training status (both p = 0.1). Practitioners' performance in supporting smokers to quit varied with availability and use of treatment manuals. Evidence was weaker for perceived utility of manuals and practitioners' evidence-based training. Ensuring practitioners have access to treatment manuals within their service, promoting manual use, and training practitioners to competently apply manuals is likely to contribute to higher success rates in clinical practice. Copyright © 2015 Elsevier Ltd. All rights reserved.
Training sample selection based on self-training for liver cirrhosis classification using ultrasound images

NASA Astrophysics Data System (ADS)

Fujita, Yusuke; Mitani, Yoshihiro; Hamamoto, Yoshihiko; Segawa, Makoto; Terai, Shuji; Sakaida, Isao

2017-03-01

Ultrasound imaging is a popular and non-invasive tool used in the diagnoses of liver disease. Cirrhosis is a chronic liver disease and it can advance to liver cancer. Early detection and appropriate treatment are crucial to prevent liver cancer. However, ultrasound image analysis is very challenging, because of the low signal-to-noise ratio of ultrasound images. To achieve the higher classification performance, selection of training regions of interest (ROIs) is very important that effect to classification accuracy. The purpose of our study is cirrhosis detection with high accuracy using liver ultrasound images. In our previous works, training ROI selection by MILBoost and multiple-ROI classification based on the product rule had been proposed, to achieve high classification performance. In this article, we propose self-training method to select training ROIs effectively. Evaluation experiments were performed to evaluate effect of self-training, using manually selected ROIs and also automatically selected ROIs. Experimental results show that self-training for manually selected ROIs achieved higher classification performance than other approaches, including our conventional methods. The manually ROI definition and sample selection are important to improve classification accuracy in cirrhosis detection using ultrasound images.
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.
Evaluation of Veterinary Student Surgical Skills Preparation for Ovariohysterectomy Using Simulators: A Pilot Study.

PubMed

Read, Emma K; Vallevand, Andrea; Farrell, Robin M

2016-01-01

This paper describes the development and evaluation of training intended to enhance students' performance on their first live-animal ovariohysterectomy (OVH). Cognitive task analysis informed a seven-page lab manual, 30-minute video, and 46-item OVH checklist (categorized into nine surgery components and three phases of surgery). We compared two spay simulator models (higher-fidelity silicone versus lower-fidelity cloth and foam). Third-year veterinary students were randomly assigned to a training intervention: lab manual and video only; lab manual, video, and $675 silicone-based model; lab manual, video, and $64 cloth and foam model. We then assessed transfer of training to a live-animal OVH. Chi-square analyses determined statistically significant differences between the interventions on four of nine surgery components, all three phases of surgery, and overall score. Odds ratio analyses indicated that training with a spay model improved the odds of attaining an excellent or good rating on 25 of 46 checklist items, six of nine surgery components, all three phases of surgery, and the overall score. Odds ratio analyses comparing the spay models indicated an advantage for the $675 silicon-based model on only 6 of 46 checklist items, three of nine surgery components, and one phase of surgery. Training with a spay model improved performance when compared to training with a manual and video only. Results suggested that training with a lower-fidelity/cost model might be as effective when compared to a higher-fidelity/cost model. Further research is required to investigate simulator fidelity and costs on transfer of training to the operational environment.
Teaching artificial neural systems to drive: Manual training techniques for autonomous systems

NASA Technical Reports Server (NTRS)

Shepanski, J. F.; Macy, S. A.

1987-01-01

A methodology was developed for manually training autonomous control systems based on artificial neural systems (ANS). In applications where the rule set governing an expert's decisions is difficult to formulate, ANS can be used to extract rules by associating the information an expert receives with the actions taken. Properly constructed networks imitate rules of behavior that permits them to function autonomously when they are trained on the spanning set of possible situations. This training can be provided manually, either under the direct supervision of a system trainer, or indirectly using a background mode where the networks assimilates training data as the expert performs its day-to-day tasks. To demonstrate these methods, an ANS network was trained to drive a vehicle through simulated freeway traffic.
Training Psychiatry Residents in Psychotherapy: The Role of Manualized Treatments.

PubMed

Pagano, Joshua; Kyle, Brandon N; Johnson, Toni L; Saeed, Sy Atezaz

2017-06-01

Evidence-based treatment and manualized psychotherapy have a recent but rich history. As interest and research have progressed, defining the role of treatment manuals in resident training and clinical practice has become more important. Although there is not a universal definition of treatment manual, most clinicians and researchers agree that treatment manuals are an essential piece of evidence-based therapy, and that despite several limitations, they offer advantages in training residents in psychotherapy. Requirements for resident training in psychotherapy have changed over the years, and treatment manuals offer a simple and straightforward way to meet training requirements. In a search limited to only depression, two treatment manuals emerged with the support of research regarding both clinical practice and resident training. In looking toward the future, it will be important for clinicians to remain updated on further advances in evidence based manualized treatment as a tool for training residents in psychotherapy, including recent developments in online and smartphone based treatments.
Solar and Energy Conserving Food Technologies: A Training Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-17.

ERIC Educational Resources Information Center

Farallones Inst., Occidental, CA.

Based on experience in the field, this training manual was developed to help Peace Corps trainers plan and implement inservice training programs in solar and other energy conserving food technologies for Peace Corps volunteers and community workers. Using a competency-based format, the manual contains 20 sessions (learning modules) that focus on…
Automatic measurement of voice onset time using discriminative structured prediction.

PubMed

Sonderegger, Morgan; Keshet, Joseph

2012-12-01

A discriminative large-margin algorithm for automatic measurement of voice onset time (VOT) is described, considered as a case of predicting structured output from speech. Manually labeled data are used to train a function that takes as input a speech segment of an arbitrary length containing a voiceless stop, and outputs its VOT. The function is explicitly trained to minimize the difference between predicted and manually measured VOT; it operates on a set of acoustic feature functions designed based on spectral and temporal cues used by human VOT annotators. The algorithm is applied to initial voiceless stops from four corpora, representing different types of speech. Using several evaluation methods, the algorithm's performance is near human intertranscriber reliability, and compares favorably with previous work. Furthermore, the algorithm's performance is minimally affected by training and testing on different corpora, and remains essentially constant as the amount of training data is reduced to 50-250 manually labeled examples, demonstrating the method's practical applicability to new datasets.
A Customized Attention-Based Long Short-Term Memory Network for Distant Supervised Relation Extraction.

PubMed

He, Dengchao; Zhang, Hongjun; Hao, Wenning; Zhang, Rui; Cheng, Kai

2017-07-01

Distant supervision, a widely applied approach in the field of relation extraction can automatically generate large amounts of labeled training corpus with minimal manual effort. However, the labeled training corpus may have many false-positive data, which would hurt the performance of relation extraction. Moreover, in traditional feature-based distant supervised approaches, extraction models adopt human design features with natural language processing. It may also cause poor performance. To address these two shortcomings, we propose a customized attention-based long short-term memory network. Our approach adopts word-level attention to achieve better data representation for relation extraction without manually designed features to perform distant supervision instead of fully supervised relation extraction, and it utilizes instance-level attention to tackle the problem of false-positive data. Experimental results demonstrate that our proposed approach is effective and achieves better performance than traditional methods.
Aircrew Survival Equipmentman 3 & 2; Naval Training Command Rate Training Manual.

ERIC Educational Resources Information Center

Naval Training Command, Pensacola, FL.

The training manual is one of a series prepared for enlisted personnel of the Regular Navy and the Naval Reserve who are training for performance proficiency and studying for advancement in the Aircrew Survival Equipmentman (PR) rating. The illustrated and indexed manual focuses on the personnel parachute and other related survival equipment.…
Purification of Training Samples Based on Spectral Feature and Superpixel Segmentation

NASA Astrophysics Data System (ADS)

Guan, X.; Qi, W.; He, J.; Wen, Q.; Chen, T.; Wang, Z.

2018-04-01

Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on abundant and high-precision training data, which is often manually interpreted by human experts to provide ground truth for training and evaluating the performance of the classifier. Remote sensing enterprises accumulated lots of manually interpreted products from early lower-spatial resolution remote sensing images by executing their routine research and business programs. However, these manually interpreted products may not match the very high resolution (VHR) image properly because of different dates or spatial resolution of both data, thus, hindering suitability of manually interpreted products in training classification models, or small coverage area of these manually interpreted products. We also face similar problems in our laboratory in 21st Century Aerospace Technology Co. Ltd (short for 21AT). In this work, we propose a method to purify the interpreted product to match newly available VHRI data and provide the best training data for supervised image classifiers in VHR image classification. And results indicate that our proposed method can efficiently purify the input data for future machine learning use.
Negation’s Not Solved: Generalizability Versus Optimizability in Clinical Natural Language Processing

PubMed Central

Wu, Stephen; Miller, Timothy; Masanz, James; Coarr, Matt; Halgrim, Scott; Carrell, David; Clark, Cheryl

2014-01-01

A review of published work in clinical natural language processing (NLP) may suggest that the negation detection task has been “solved.” This work proposes that an optimizable solution does not equal a generalizable solution. We introduce a new machine learning-based Polarity Module for detecting negation in clinical text, and extensively compare its performance across domains. Using four manually annotated corpora of clinical text, we show that negation detection performance suffers when there is no in-domain development (for manual methods) or training data (for machine learning-based methods). Various factors (e.g., annotation guidelines, named entity characteristics, the amount of data, and lexical and syntactic context) play a role in making generalizability difficult, but none completely explains the phenomenon. Furthermore, generalizability remains challenging because it is unclear whether to use a single source for accurate data, combine all sources into a single model, or apply domain adaptation methods. The most reliable means to improve negation detection is to manually annotate in-domain training data (or, perhaps, manually modify rules); this is a strategy for optimizing performance, rather than generalizing it. These results suggest a direction for future work in domain-adaptive and task-adaptive methods for clinical NLP. PMID:25393544
Training Manual for the Energy Conservation Analysis Project.

ERIC Educational Resources Information Center

Massachusetts Univ., Amherst. Cooperative Extension Service.

This document is the Massachusetts Energy Extension Service training manual for Residential Energy Auditors. This manual is part of a four-week program to train persons to perform home energy audits and was developed under the Energy Conservation Analysis Project (ECAP) at the University of Massachusetts. The chapter titles include: (1) Project…
The disconnect between evidence and practice: a systematic review of person-centred interventions and training manuals for care home staff working with people with dementia.

PubMed

Fossey, Jane; Masson, Sarah; Stafford, Jane; Lawrence, Vanessa; Corbett, Anne; Ballard, Clive

2014-08-01

The overall objective is to determine the availability of person-centred intervention and training manuals for dementia care staff with clinical trial evidence of efficacy. Interventions were identified using a search of electronic databases, augmented by mainstream search engines, reference lists, hand searching for resources and consultation with an expert panel. The specific search for published manuals was complemented by a search for randomised control trials focussing on training and activity-based interventions for people with dementia in care homes. Manuals were screened for eligibility and rated to assess their quality, relevance and feasibility. A meta-analysis of randomised control trials indicated that person-centred training interventions conferred significant benefit in improving agitation and reducing the use of antipsychotics. Each of the efficacious packages included a sustained period of joint working and supervision with a trained mental health professional in addition to an educational element. However, of the 170 manuals that were identified, 30 met the quality criteria and only four had been evaluated in clinical trials. Despite the availability of a small number of evidence-based training manuals, there is a widespread use of person-centred intervention and training manuals that are not evidence-based. Clearer guidance is needed to ensure that commissioned training and interventions are based on robust evidence. Copyright © 2014 John Wiley & Sons, Ltd.
The Relative Success of a Self-Help and a Group-Based Memory Training Program for Older Adults

PubMed Central

Hastings, Erin C.; West, Robin L.

2011-01-01

This study evaluates self-help and group-based memory training programs to test for their differential impact on memory beliefs and performance. Self-help participants used a manual that presented strategies for name, story, and list recall and practice exercises. Matched content from that same manual was presented by the trainer in 2-hr weekly group sessions for the group-based trainees. Relative to a wait-list control group, most memory measures showed significant gains for both self-help and group-based training, with no significant training condition differences, and these gains were maintained at follow-up. Belief measures showed that locus of control was significantly higher for the self-help and group-based training than the control group; memory self-efficacy significantly declined for controls, increased for group-trained participants, and remained constant in the self-help group. Self-efficacy change in a self-help group may require more opportunities for interacting with peers and/or an instructor emphasizing one's potential for memory change. PMID:19739914
Simulation-based mastery learning for endoscopy using the endoscopy training system: a strategy to improve endoscopic skills and prepare for the fundamentals of endoscopic surgery (FES) manual skills exam.

PubMed

Ritter, E Matthew; Taylor, Zachary A; Wolf, Kathryn R; Franklin, Brenton R; Placek, Sarah B; Korndorffer, James R; Gardner, Aimee K

2018-01-01

The fundamentals of endoscopic surgery (FES) program has considerable validity evidence for its use in measuring the knowledge, skills, and abilities required for competency in endoscopy. Beginning in 2018, the American Board of Surgery will require all candidates to have taken and passed the written and performance exams in the FES program. Recent work has shown that the current ACGME/ABS required case volume may not be enough to ensure trainees pass the FES skills exam. The aim of this study was to investigate the feasibility of a simulation-based mastery-learning curriculum delivered on a novel physical simulation platform to prepare trainees to pass the FES manual skills exam. The newly developed endoscopy training system (ETS) was used as the training platform. Seventeen PGY 1 (10) and PGY 2 (7) general surgery residents completed a pre-training assessment consisting of all 5 FES tasks on the GI Mentor II. Subjects then trained to previously determined expert performance benchmarks on each of 5 ETS tasks. Once training benchmarks were reached for all tasks, a post-training assessment was performed with all 5 FES tasks. Two subjects were lost to follow-up and never returned for training or post-training assessment. One additional subject failed to complete any portion of the curriculum, but did return for post-training assessment. The group had minimal endoscopy experience (median 0, range 0-67) and minimal prior simulation experience. Three trainees (17.6%) achieved a passing score on the pre-training FES assessment. Training consisted of an average of 48 ± 26 repetitions on the ETS platform distributed over 5.1 ± 2 training sessions. Seventy-one percent achieved proficiency on all 5 ETS tasks. There was dramatic improvement demonstrated on the mean post-training FES assessment when compared to pre-training (74.0 ± 8 vs. 50.4 ± 16, p < 0.0001, effect size = 2.4). The number of ETS tasks trained to proficiency correlated moderately with the score on the post-training assessment (r = 0.57, p = 0.028). Fourteen (100%) subjects who trained to proficiency on at least one ETS task passed the post-training FES manual skills exam. This simulation-based mastery learning curriculum using the ETS is feasible for training novices and allows for the acquisition of the technical skills required to pass the FES manual skills exam. This curriculum should be strongly considered by programs wishing to ensure that trainees are prepared for the FES exam.
Automated Error Detection in Physiotherapy Training.

PubMed

Jovanović, Marko; Seiffarth, Johannes; Kutafina, Ekaterina; Jonas, Stephan M

2018-01-01

Manual skills teaching, such as physiotherapy education, requires immediate teacher feedback for the students during the learning process, which to date can only be performed by expert trainers. A machine-learning system trained only on correct performances to classify and score performed movements, to identify sources of errors in the movement and give feedback to the learner. We acquire IMU and sEMG sensor data from a commercial-grade wearable device and construct an HMM-based model for gesture classification, scoring and feedback giving. We evaluate the model on publicly available and self-generated data of an exemplary movement pattern executions. The model achieves an overall accuracy of 90.71% on the public dataset and 98.9% on our dataset. An AUC of 0.99 for the ROC of the scoring method could be achieved to discriminate between correct and untrained incorrect executions. The proposed system demonstrated its suitability for scoring and feedback in manual skills training.
One Small Step for Manuals: Computer-Assisted Training in Twelve-Step Facilitation*

PubMed Central

Sholomskas, Diane E.; Carroll, Kathleen M.

2008-01-01

Objective The burgeoning number of empirically validated therapies has not been met with systematic evaluation of practical, inexpensive means of teaching large numbers of clinicians to use these treatments effectively. An interactive, computer-assisted training program that sought to impart skills associated with the Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity) Twelve-Step Facilitation (TSF) manual was developed to address this need. Method Twenty-five community-based substance use-treatment clinicians were randomized to one of two training conditions: (1) access to the computer-assisted training program plus the TSF manual or (2) access to the manual only. The primary outcome measure was change from pre- to posttraining in the clinicians' ability to demonstrate key TSF skills. Results The data suggested that the clinicians' ability to implement TSF, as assessed by independent ratings of adherence and skill for the key TSF interventions, was significantly higher after training for those who had access to the computerized training condition than those who were assigned to the manual-only condition. Those assigned to the computer-assisted training condition also demonstrated greater gains in a knowledge test assessing familiarity with concepts presented in the TSF manual. Conclusions Computer-based training may be a feasible and effective means of training larger numbers of clinicians in empirically supported, manual-guided therapies. PMID:17061013
One small step for manuals: Computer-assisted training in twelve-step facilitation.

PubMed

Sholomskas, Diane E; Carroll, Kathleen M

2006-11-01

The burgeoning number of empirically validated therapies has not been met with systematic evaluation of practical, inexpensive means of teaching large numbers of clinicians to use these treatments effectively. An interactive, computer-assisted training program that sought to impart skills associated with the Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity) Twelve-Step Facilitation (TSF) manual was developed to address this need. Twenty-five community-based substance use-treatment clinicians were randomized to one of two training conditions: (1) access to the computer- assisted training program plus the TSF manual or (2) access to the manual only. The primary outcome measure was change from preto posttraining in the clinicians' ability to demonstrate key TSF skills. The data suggested that the clinicians' ability to implement TSF, as assessed by independent ratings of adherence and skill for the key TSF interventions, was significantly higher after training for those who had access to the computerized training condition than those who were assigned to the manual-only condition. Those assigned to the computer-assisted training condition also demonstrated greater gains in a knowledge test assessing familiarity with concepts presented in the TSF manual. Computer-based training may be a feasible and effective means of training larger numbers of clinicians in empirically supported, manual-guided therapies.
Manual Skill Acquisition During Transesophageal Echocardiography Simulator Training of Cardiology Fellows: A Kinematic Assessment.

PubMed

Matyal, Robina; Montealegre-Gallegos, Mario; Mitchell, John D; Kim, Han; Bergman, Remco; Hawthorne, Katie M; O'Halloran, David; Wong, Vanessa; Hess, Phillip E; Mahmood, Feroze

2015-12-01

To investigate whether a transesophageal echocardiography (TEE) simulator with motion analysis can be used to impart proficiency in TEE in an integrated curriculum-based model. A prospective cohort study. A tertiary-care university hospital. TEE-naïve cardiology fellows. Participants underwent an 8-session multimodal TEE training program. Manual skills were assessed at the end of sessions 2 and 8 using motion analysis of the TEE simulator's probe. At the end of the course, participants performed an intraoperative TEE; their examinations were video captured, and a blinded investigator evaluated the total time and image transitions needed for each view. Results are reported as mean±standard deviation, or median (interquartile range) where appropriate. Eleven fellows completed the knowledge and kinematic portions of the study. Five participants were excluded from the evaluation in the clinical setting because of interim exposure to TEE or having participated in a TEE rotation after the training course. An increase of 12.95% in post-test knowledge scores was observed. From the start to the end of the course, there was a significant reduction (p<0.001 for all) in the number of probe. During clinical performance evaluation, trainees were able to obtain all the required echocardiographic views unassisted but required a longer time and had more probe transitions when compared with an expert. A curriculum-based approach to TEE training for cardiology fellows can be complemented with kinematic analyses to objectify acquisition of manual skills during simulator-based training. Copyright © 2015 Elsevier Inc. All rights reserved.

Manual de Adiestramiento sobre Terapia de Rehidratacion Oral y Control de las Enfermedades Diarreicas (Oral Rehydration Therapy and the Control of Diarrheal Diseases). Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-53.

ERIC Educational Resources Information Center

Clark, Mari; And Others

This Spanish-language manual was developed to train Peace Corps volunteers and other community health workers in Spanish-speaking countries in oral rehydration therapy (ORT) and the control of diarrheal diseases. Using a competency-based format, the manual contains three training modules (organized in seven sessions) that focus on interrelated…
Users' Manual for Research: Translating Head Start Findings Into Action (Expanded Notebook Version).

ERIC Educational Resources Information Center

Grotberg, Edith H.; Fowler, Austine

This users' manual, intended for use with a Project Head Start teacher training notebook, describes the purpose, development and field testing of the training materials and suggests procedures for using the notebook as a resource in teacher training sessions. The training notebook to which the users' manual refers is based on 11 questions in the…
Single pellet grasping following cervical spinal cord injury in adult rat using an automated full-time training robot

PubMed Central

Fenrich, Keith K.; May, Zacincte; Torres-Espín, Abel; Forero, Juan; Bennett, David J.; Fouad, Karim

2016-01-01

Task specific motor training is a common form of rehabilitation therapy in individuals with spinal cord injury (SCI). The single pellet grasping (SPG) task is a skilled forelimb motor task used to evaluate recovery of forelimb function in rodent models of SCI. The task requires animals to obtain food pellets located on a shelf beyond a slit at the front of an enclosure. Manually training and testing rats in the SPG task requires extensive time and often yields results with high outcome variability and small therapeutic windows (i.e., the difference between pre- and post-SCI success rates). Recent advances in automated SPG training using automated pellet presentation (APP) systems allow rats to train ad libitum 24 h a day, 7 days a week. APP trained rats have improved success rates, require less researcher time, and have lower outcome variability compared to manually trained rats. However, it is unclear whether APP trained rats can perform the SPG task using the APP system after SCI. Here we show that rats with cervical SCI can successfully perform the SPG task using the APP system. We found that SCI rats with APP training performed significantly more attempts, had slightly lower and less variable final score success rates, and larger therapeutic windows than SCI rats with manual training. These results demonstrate that APP training has clear advantages over manual training for evaluating reaching performance of SCI rats and represents a new tool for investigating rehabilitative motor training following CNS injury. PMID:26611563
Single pellet grasping following cervical spinal cord injury in adult rat using an automated full-time training robot.

PubMed

Fenrich, Keith K; May, Zacincte; Torres-Espín, Abel; Forero, Juan; Bennett, David J; Fouad, Karim

2016-02-15

Task specific motor training is a common form of rehabilitation therapy in individuals with spinal cord injury (SCI). The single pellet grasping (SPG) task is a skilled forelimb motor task used to evaluate recovery of forelimb function in rodent models of SCI. The task requires animals to obtain food pellets located on a shelf beyond a slit at the front of an enclosure. Manually training and testing rats in the SPG task requires extensive time and often yields results with high outcome variability and small therapeutic windows (i.e., the difference between pre- and post-SCI success rates). Recent advances in automated SPG training using automated pellet presentation (APP) systems allow rats to train ad libitum 24h a day, 7 days a week. APP trained rats have improved success rates, require less researcher time, and have lower outcome variability compared to manually trained rats. However, it is unclear whether APP trained rats can perform the SPG task using the APP system after SCI. Here we show that rats with cervical SCI can successfully perform the SPG task using the APP system. We found that SCI rats with APP training performed significantly more attempts, had slightly lower and less variable final score success rates, and larger therapeutic windows than SCI rats with manual training. These results demonstrate that APP training has clear advantages over manual training for evaluating reaching performance of SCI rats and represents a new tool for investigating rehabilitative motor training following CNS injury. Copyright © 2015 Elsevier B.V. All rights reserved.
Computer-Based Training Starter Kit.

ERIC Educational Resources Information Center

Federal Interagency Group for Computer-Based Training, Washington, DC.

Intended for use by training professionals with little or no background in the application of automated data processing (ADP) systems, processes, or procurement requirements, this reference manual provides guidelines for establishing a computer based training (CBT) program within a federal agency of the United States government. The manual covers:…
Tools and Their Uses. Rate Training Manual.

ERIC Educational Resources Information Center

Naval Personnel Program Support Activity, Washington, DC.

One of a series of training manuals prepared for enlisted personnel in the Navy and Naval Reserve, this supplementary manual contains data pertinent to a variety of tools necessary to the satisfactory performance of modern technical equipment used by the Navy. It is designed to help the learner identify tools and fastening devices by their correct…
A motor learning approach to training wheelchair propulsion biomechanics for new manual wheelchair users: A pilot study

PubMed Central

Morgan, Kerri A.; Tucker, Susan M.; Klaesner, Joseph W.; Engsberg, Jack R.

2017-01-01

Context/Objective Developing an evidence-based approach to teaching wheelchair skills and proper propulsion for everyday wheelchair users with a spinal cord injury (SCI) is important to their rehabilitation. The purpose of this project was to pilot test manual wheelchair training based on motor learning and repetition-based approaches for new manual wheelchair users with an SCI. Design A repeated measures within-subject design was used with participants acting as their own controls. Methods Six persons with an SCI requiring the use of a manual wheelchair participated in wheelchair training. The training included nine 90-minute sessions. The primary focus was on wheelchair propulsion biomechanics with a secondary focus on wheelchair skills. Outcome Measures During Pretest 1, Pretest 2, and Posttest, wheelchair propulsion biomechanics were measured using the Wheelchair Propulsion Test and a Video Motion Capture system. During Pretest 2 and Posttest, propulsion forces using the WheelMill System and wheelchair skills using the Wheelchair Skills Test were measured. Results Significant changes in area of the push loop, hand-to-axle relationship, and slope of push forces were found. Changes in propulsion patterns were identified post-training. No significant differences were found in peak and average push forces and wheelchair skills pre- and post-training. Conclusions This project identified trends in change related to a repetition-based motor learning approach for propelling a manual wheelchair. The changes found were related to the propulsion patterns used by participants. Despite some challenges associated with implementing interventions for new manual wheelchair users, such as recruitment, the results of this study show that repetition-based training can improve biomechanics and propulsion patterns for new manual wheelchair users. PMID:26674751
A motor learning approach to training wheelchair propulsion biomechanics for new manual wheelchair users: A pilot study.

PubMed

Morgan, Kerri A; Tucker, Susan M; Klaesner, Joseph W; Engsberg, Jack R

2017-05-01

Developing an evidence-based approach to teaching wheelchair skills and proper propulsion for everyday wheelchair users with a spinal cord injury (SCI) is important to their rehabilitation. The purpose of this project was to pilot test manual wheelchair training based on motor learning and repetition-based approaches for new manual wheelchair users with an SCI. A repeated measures within-subject design was used with participants acting as their own controls. Six persons with an SCI requiring the use of a manual wheelchair participated in wheelchair training. The training included nine 90-minute sessions. The primary focus was on wheelchair propulsion biomechanics with a secondary focus on wheelchair skills. During Pretest 1, Pretest 2, and Posttest, wheelchair propulsion biomechanics were measured using the Wheelchair Propulsion Test and a Video Motion Capture system. During Pretest 2 and Posttest, propulsion forces using the WheelMill System and wheelchair skills using the Wheelchair Skills Test were measured. Significant changes in area of the push loop, hand-to-axle relationship, and slope of push forces were found. Changes in propulsion patterns were identified post-training. No significant differences were found in peak and average push forces and wheelchair skills pre- and post-training. This project identified trends in change related to a repetition-based motor learning approach for propelling a manual wheelchair. The changes found were related to the propulsion patterns used by participants. Despite some challenges associated with implementing interventions for new manual wheelchair users, such as recruitment, the results of this study show that repetition-based training can improve biomechanics and propulsion patterns for new manual wheelchair users.
Oral Rehydration Therapy and the Control of Diarrheal Diseases. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-34.

ERIC Educational Resources Information Center

Clark, Mari; And Others

This manual was developed to train Peace Corps volunteers and other community health workers in oral rehydration therapy (ORT) and the control of diarrheal diseases. Using a competency-based format, the manual contains six training modules (organized in 22 sessions) that focus on interrelated health education and technical content areas. Each…
Doorways I: Student Training Manual on School-Related Gender-Based Violence Prevention and Response

ERIC Educational Resources Information Center

US Agency for International Development, 2009

2009-01-01

The Doorways training program was designed by the U.S. Agency for International Development (USAID)-funded Safe Schools Program (Safe Schools) to enable teachers, community members and students to prevent and respond to school-related gender-based violence (SRGBV). "Doorways I: Student Training Manual on School-Related Gender-Based Violence…
A dual-user teleoperation system with Online Authority Adjustment for haptic training.

PubMed

Fei Liu; Leleve, Arnaud; Eberard, Damien; Redarce, Tanneguy

2015-08-01

This paper introduces a dual-user teleoperation system for hands-on medical training. A shared control based architecture is presented for authority management. In this structure, the combination of control signals is obtained using a dominance factor. Its main improvement is Online Authority Adjustment (OAA): the authority can be adjusted manually/automatically during the training progress. Experimental results are provided to validate the performances of the system.
Effects of Rifle Handling, Target Acquisition, and Trigger Control on Simulated Shooting Performance

DTIC Science & Technology

2014-05-06

qualification task, and covers all of the training requirements listed in the Soldier’s Manual of Common Tasks: Warrior Skills Level 1 handbook...allow for more direct and standardized training based on common Soldier errors. If discernible patterns in these core elements of marksmanship were...more than 50 percent of variance in marksmanship performance on a standard EST weapons qualification task for participants whose 3 Snellen acuity
Project REACH: A Competency-Based Manual for Camp Director Training. Appendix T. Camp Director Training Series.

ERIC Educational Resources Information Center

Vinton, Dennis A., Ed.; Farley, Elizabeth M., Ed.

Resulting from a 3 year project to develop and test competency based programs for camp personnel serving the physically handicapped, the document contains a manual for training the camp director. An introductory section gives an explanation of competency based instruction, a description of a module, and an overview of the camp director training…
Automated Literature Searches for Longitudinal Tracking of Cancer Research Training Program Graduates.

PubMed

Padilla, Luz A; Desmond, Renee A; Brooks, C Michael; Waterbor, John W

2018-06-01

A key outcome measure of cancer research training programs is the number of cancer-related peer-reviewed publications after training. Because program graduates do not routinely report their publications, staff must periodically conduct electronic literature searches on each graduate. The purpose of this study is to compare findings of an innovative computer-based automated search program versus repeated manual literature searches to identify post-training peer-reviewed publications. In late 2014, manual searches for publications by former R25 students identified 232 cancer-related articles published by 112 of 543 program graduates. In 2016, a research assistant was instructed in performing Scopus literature searches for comparison with individual PubMed searches on our 543 program graduates. Through 2014, Scopus found 304 cancer publications, 220 of that had been retrieved manually plus an additional 84 papers. However, Scopus missed 12 publications found manually. Together, both methods found 316 publications. The automated method found 96.2 % of the 316 publications while individual searches found only 73.4 %. An automated search method such as using the Scopus database is a key tool for conducting comprehensive literature searches, but it must be supplemented with periodic manual searches to find the initial publications of program graduates. A time-saving feature of Scopus is the periodic automatic alerts of new publications. Although a training period is needed and initial costs can be high, an automated search method is worthwhile due to its high sensitivity and efficiency in the long term.
Remediation Plus System.

ERIC Educational Resources Information Center

Gross, Jo-Anne

The Remediation Plus System for reading, spelling, and writing is based on phonemic awareness training, linguistic gymnastics, and Orton Gillingham methodology. It employs multisensory, systematic phonics and "exhaustively thorough" lesson plans. The system contains a training manual, a testing manual, three training videos, a…
Competency-Based Adult Basic Education Manual for Level I (0-4.9) and Level II (5-8). A Training Manual for CBABE Instruction and Program Management.

ERIC Educational Resources Information Center

Singer, Elizabeth; And Others

This training manual was developed as a source of information about Competency-Based Adult Basic Education (CBABE) for administrators, counselors, and teachers involved in the implementation of a CBABE program. After section I provides an introduction to Brevard Community College's development of CBABE curricula, section II explains the purposes…
Appropriate Community Technology: A Training Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-28.

ERIC Educational Resources Information Center

Clavaud, Donna; And Others

Based on experience in the field, this training program was developed to help Peace Corps trainers teach appropriate community technology to Peace Corps volunteers and community workers. The 8-week, 104-session training program is organized in six phases that cover the following topics: introduction to training; earthen construction and…
Knee functional recovery and limb-to-limb symmetry restoration after anterior cruciate ligament (ACL) rupture and ACL reconstruction

NASA Astrophysics Data System (ADS)

Nawasreh, Zakariya Hussein

Anterior cruciate ligament (ACL) rupture is a common sport injury of young athletes who participate in jumping, cutting, and pivoting activities. Although ACL reconstruction (ACLR) surgery has the goal of enabling athletes to return to preinjury activity levels, treatment results often fall short of this goal. The outcomes after ACLR are variable and less than optimal with low rate of return to preinjury activity level and high risk for second ACL injury. Factors related to the knee functional limitations, strength deficits, and limb-to-limb movement asymmetry may be associated with poor outcomes after ACLR. Additionally, the criteria that are used to determine a patient's readiness to return to the preinjury activity level are undefined which may also be associated with poor outcomes after ACLR. The clinical decision-making to clear patients' for safe and successful return to high physical activities should be based on a universal comprehensive set of objective criteria that ensure normal knee function and limb-to-limb symmetry. A battery of return to activity criteria (RTAC) that emphases normal knee function and limb-to-limb movement symmetry has been constituted to better ensure safe and successful return to preinjury activity level. Yet, only variables related to patients' demographics, concomitant injuries, and treatment measures have been used to predict return to preinjury activity levels after ACLR. However, the ability of RTAC variables that ensure normal knee function and limb movement symmetry to predict the return to participate in the same preinjury activity level after ACLR has not been investigated. In light of this background, the first aim of the present study was to compare functional knee performance-based and patient-reported measures of those who PASS and who FAIL on RTAC at 6 months (6-M) following ACLR with those at 12 months (12-M) and 24 months (24-M) following ACLR and to determine how performance-based and patient-reported measures change over time. Further to investigate whether RTAC variables at 6-M following ACLR predict return to the same preinjury activity level at 12 and 24 months following ACLR. The findings of this work revealed that patients who fail on RTAC 6-M after ACLR are more likely to demonstrate impaired knee function and limb-to-limb movement asymmetry at 12-M and 24-M after ACLR. Additionally, RTAC variables can predict the return to participate in the same preinjury activity level at 12-M and 24-M after ACLR. The combination of RTAC variables explain more than one-fourth to one-third of returning to participate in the same preinjury activity level 12-M and 24-M respectively after ACLR. For athletes choosing non-surgical management, the physical therapy recommendation is to administrate progressive strength training augmented with manual perturbation training. Manual perturbation training is a type of specialized neuromuscular training that includes purposeful manipulations of support surfaces by a therapist. While manual perturbation promotes dynamic knee stability, enhances dynamic knee function, mitigates abnormal movement pattern and normalizes the muscle co-contraction, perturbation training is not widely used as part of the ACL rehabilitation program in the United States. Further, the perturbation training requires extensive physical labor and one-on-one time from the treating therapist. The effect of administering perturbation training using mechanical device as part of the ACL rehabilitation program has not investigated. An automated "Reactive Agility System" device provides perturbation stimuli including multidirectional translations similar to those of manual perturbation training. Administrating the perturbation training using a mechanical device may facilitate the use of controlled and standardized training in a wide range of the rehabilitation clinics and allow administering controlled and standardized training. However, it is unknown whether administering perturbation training using mechanical device provides effects similar to manual perturbation training on knee mechanics, knee functional performance, and neuromuscular activation pattern in patients with ACL rupture. The second aim of this study was to measure whether the mechanical perturbation training provides an effect similar to that of manual perturbation training on gait mechanics, knee functional performance, muscle co-contraction, and neuromuscular activation pattern in athletes with an acute ACL rupture who are managed non-surgically. The findings of this work revealed that mechanical perturbation training provides effects similar to the manual perturbation training on knee kinematics and kinetics during walking and performance-based and patient-reported measures. Gait limb-to-limb asymmetries continue persist after the training regardless of the treatment group which may indicate that patients require participating in an extended rehabilitation program. Additionally, Perturbation training attempts to resolve the neuromuscular deficits and restore a balance in muscle activation and strength between knee flexors and extensors to enhance the dynamic stability of the knee joint. There are moderate to strong relationships between time duration of muscles' activities and the muscle co-contraction that may reflect neuromuscular adaptations to provide dynamic knee stability.
Evaluation of a treatment manual and workshops for disseminating, parent-child interaction therapy.

PubMed

Herschell, Amy D; McNeil, Cheryl B; Urquiza, Anthony J; McGrath, Jean M; Zebell, Nancy M; Timmer, Susan G; Porter, Alissa

2009-01-01

This study's main purposes were to: (a) evaluate a treatment manual as a dissemination strategy, (b) compare two workshop formats for evidence-based treatment (EBT) training, and (c) provide preliminary data on therapist characteristics potentially associated with successful EBT adoption. Forty-two community-based clinicians were assigned to one of two training groups (didactic or experiential). Behavior observation and self-report data were collected at four time points. Results suggest that reading a treatment manual is useful, but not sufficient. Experiential and didactic training were equally effective in increasing knowledge, skill, and satisfaction; however, after a 2-day training, few participants demonstrated mastery of skills.
No difference between mechanical perturbation training with compliant surface and manual perturbation training on knee functional performance after ACL rupture.

PubMed

Nawasreh, Zakariya; Logerstedt, David; Failla, Mathew; Snyder-Mackler, Lynn

2017-10-27

Manual perturbation training improves dynamic knee stability and functional performance after anterior cruciate ligament rupture (ACL-rupture). However, it is limited to static standing position and does not allow time-specific perturbations at different phase of functional activities. The purpose of this study was to investigate whether administering mechanical perturbation training including compliant surface provides effects similar to manual perturbation training on knee functional measures after an acute ACL-rupture. Sixteen level I/II athletes with ACL-ruptures participated in this preliminary study. Eight patients received mechanical (Mechanical) and eight subjects received manual perturbation training (Manual). All patients completed a functional testing (isometric quadriceps strength, single-legged hop tests) and patient-reported measures (Knee Outcome Survey-Activities of Daily Living Scale (KOS-ADLS), Global Rating Score (GRS), International Knee Documentation Committee 2000 (IKDC 2000) at pre- and post-training. 2 × 2 ANOVA was used for data analysis. No significant group-by-time interactions were found for all measures (p > 0.18). Main effects of time were found for single hop (Pre-testing: 85.14% ± 21.07; Post-testing: 92.49% ± 17.55), triple hop (Pre-testing: 84.64% ± 14.17; Post-testing: 96.64% ± 11.14), KOS-ADLS (Pre-testing: 81.13% ± 11.12; Post-testing: 88.63% ± 12.63), GRS (Pre-testing: 68.63% ± 15.73; Post-testing: 78.81% ± 13.85), and IKDC 2000 (Pre-testing: 66.66% ± 9.85; Post-testing: 76.05% ± 14.62) (p < 0.032). Administering mechanical perturbation training using compliant surfaces induce effects similar to manual perturbation training on knee functional performance after acute ACL-rupture. The clinical significance is both modes of training improve patients' functional-performance and limb-to-limb movement symmetry, and enhancing the patients' self-reported of knee functional measures after ACL rupture. Mechanical perturbation that provides a compliant surface might be utilized as part of the ACL rehabilitation training. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Engine Performance Specialist. Instructor's Manual. Automotive Service Series.

ERIC Educational Resources Information Center

Oklahoma State Dept. of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This curriculum guide is one of a series automotive service specialty publications that continues students' training in the automotive service trade by providing instruction in the engine performance specialty. It is based on the National Institute of Automotive Service Excellence task lists. Each of the 16 units includes some or all of the basic…
Immediate Biomechanical Implications of Transfer Component Skills Training on Independent Wheelchair Transfers.

PubMed

Tsai, Chung-Ying; Boninger, Michael L; Hastings, Jennifer; Cooper, Rory A; Rice, Laura; Koontz, Alicia M

2016-10-01

To evaluate the immediate effects of transfer training based on the Transfer Assessment Instrument (TAI) on the upper limb biomechanics during transfers. Pre-post intervention. Biomechanics laboratory. Full-time manual wheelchair users (N=24) performed 5 transfers to a level height bench, while their natural transfer skills were scored using the TAI, and their biomechanical data were recorded. Participants with 2 or more component skill deficits were invited to return to receive personalized transfer training. TAI part 1 summary scores and biomechanical variables calculated at the shoulder, elbow, and wrist joints were compared before and immediately after transfer training. Sixteen of the 24 manual wheelchair users met the criteria for training, and 11 manual wheelchair users came back for the revisit. Their TAI part 1 summary scores improved from 6.31±.98 to 9.92±.25. They had significantly smaller elbow range of motion, shoulder resultant moment, and rates of rise of elbow and wrist resultant forces on their trailing side during transfers after training (P<.05). On the leading side, shoulder maximum internal rotation and elevation angles, and shoulder resultant moments and rates of rise of shoulder resultant force and moment decreased after training (P<.04). The TAI-based training showed short-term beneficial biomechanical effects on wheelchair users' upper limbs, such as better shoulder positioning and lower joint loadings. If the skills are practiced longer-term, they may help protect the upper limbs from developing pain and injuries. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Manual patient transfers used most often by student and staff nurses are consistent with their perceptions of transfer training, and performance confidence.

PubMed

van Wyk, Paula M; Weir, Patricia L; Andrews, David M

2015-01-01

A disconnect in manual patient transfer (MPT) training practices for nurses, between what is taught and used in academic and clinical settings, could have implications for injury. This study aimed to determine: 1. what MPTs student and staff nurses use in clinical settings, and 2. if the MPTs used most often were also the ones they perceived that they received training for and had the most confidence performing. Survey responses from student nurses (n=163) (mid-sized university) and staff nurses (n=33) (local hospital) regarding 19 MPTs were analyzed to determine which transfers were perceived to be used most often, and which ones they had received training for and had the greatest confidence performing. The MPTs nurses perceived using most often were the same transfers they had the greatest confidence performing and for which they perceived receiving training. However, these MPTs were not taught at the university at the time of this investigation. Reducing the disconnect between manual patient transfer training obtained in the academic and clinical environments will hopefully reduce the risk of injury for nurses and improve the quality of care for patients.
Hand rim wheelchair propulsion training using biomechanical real-time visual feedback based on motor learning theory principles.

PubMed

Rice, Ian; Gagnon, Dany; Gallagher, Jere; Boninger, Michael

2010-01-01

As considerable progress has been made in laboratory-based assessment of manual wheelchair propulsion biomechanics, the necessity to translate this knowledge into new clinical tools and treatment programs becomes imperative. The objective of this study was to describe the development of a manual wheelchair propulsion training program aimed to promote the development of an efficient propulsion technique among long-term manual wheelchair users. Motor learning theory principles were applied to the design of biomechanical feedback-based learning software, which allows for random discontinuous real-time visual presentation of key spatiotemporal and kinetic parameters. This software was used to train a long-term wheelchair user on a dynamometer during 3 low-intensity wheelchair propulsion training sessions over a 3-week period. Biomechanical measures were recorded with a SmartWheel during over ground propulsion on a 50-m level tile surface at baseline and 3 months after baseline. Training software was refined and administered to a participant who was able to improve his propulsion technique by increasing contact angle while simultaneously reducing stroke cadence, mean resultant force, peak and mean moment out of plane, and peak rate of rise of force applied to the pushrim after training. The proposed propulsion training protocol may lead to favorable changes in manual wheelchair propulsion technique. These changes could limit or prevent upper limb injuries among manual wheelchair users. In addition, many of the motor learning theory-based techniques examined in this study could be applied to training individuals in various stages of rehabilitation to optimize propulsion early on.
Hand Rim Wheelchair Propulsion Training Using Biomechanical Real-Time Visual Feedback Based on Motor Learning Theory Principles

PubMed Central

Rice, Ian; Gagnon, Dany; Gallagher, Jere; Boninger, Michael

2010-01-01

Background/Objective: As considerable progress has been made in laboratory-based assessment of manual wheelchair propulsion biomechanics, the necessity to translate this knowledge into new clinical tools and treatment programs becomes imperative. The objective of this study was to describe the development of a manual wheelchair propulsion training program aimed to promote the development of an efficient propulsion technique among long-term manual wheelchair users. Methods: Motor learning theory principles were applied to the design of biomechanical feedback-based learning software, which allows for random discontinuous real-time visual presentation of key spatio-temporal and kinetic parameters. This software was used to train a long-term wheelchair user on a dynamometer during 3 low-intensity wheelchair propulsion training sessions over a 3-week period. Biomechanical measures were recorded with a SmartWheel during over ground propulsion on a 50-m level tile surface at baseline and 3 months after baseline. Results: Training software was refined and administered to a participant who was able to improve his propulsion technique by increasing contact angle while simultaneously reducing stroke cadence, mean resultant force, peak and mean moment out of plane, and peak rate of rise of force applied to the pushrim after training. Conclusions: The proposed propulsion training protocol may lead to favorable changes in manual wheelchair propulsion technique. These changes could limit or prevent upper limb injuries among manual wheelchair users. In addition, many of the motor learning theory–based techniques examined in this study could be applied to training individuals in various stages of rehabilitation to optimize propulsion early on. PMID:20397442
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training

PubMed Central

Kutafina, Ekaterina; Laukamp, David; Bettermann, Ralf; Schroeder, Ulrik; Jonas, Stephan M.

2016-01-01

In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user’s hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of 98.30% (±1.26%) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills. PMID:27527167
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training.

PubMed

Kutafina, Ekaterina; Laukamp, David; Bettermann, Ralf; Schroeder, Ulrik; Jonas, Stephan M

2016-08-03

In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user's hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of 98 . 30 % ( ± 1 . 26 % ) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills.
Storekeeper 1 and C: Rate Training Manual. Revised.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The training manual is designed to help the trainee meet the occupational qualifications for performance of duties and for advancement to Storekeeper First Class (SKI) and Chief Storekeeper (SKC). Chapter one provides introductory information (requirements for advancement, sources of information, billets, customer relations, and rewards and…
Utilitiesman 3 and 2. Rate Training Manual. Revised 1973.

ERIC Educational Resources Information Center

Naval Training Command, Pensacola, FL.

This Rate Training Manual provides the technical knowledge and skill requirements necessary to prepare Utilitiesmen to perform tasks involved in the installation, maintenance, and repair of plumbing, heating, steam, fuel storage and distribution systems, water treatment and distribution systems, air conditioning and refrigeration equipment, and…
3-D rigid body tracking using vision and depth sensors.

PubMed

Gedik, O Serdar; Alatan, A Aydn

2013-10-01

In robotics and augmented reality applications, model-based 3-D tracking of rigid objects is generally required. With the help of accurate pose estimates, it is required to increase reliability and decrease jitter in total. Among many solutions of pose estimation in the literature, pure vision-based 3-D trackers require either manual initializations or offline training stages. On the other hand, trackers relying on pure depth sensors are not suitable for AR applications. An automated 3-D tracking algorithm, which is based on fusion of vision and depth sensors via extended Kalman filter, is proposed in this paper. A novel measurement-tracking scheme, which is based on estimation of optical flow using intensity and shape index map data of 3-D point cloud, increases 2-D, as well as 3-D, tracking performance significantly. The proposed method requires neither manual initialization of pose nor offline training, while enabling highly accurate 3-D tracking. The accuracy of the proposed method is tested against a number of conventional techniques, and a superior performance is clearly observed in terms of both objectively via error metrics and subjectively for the rendered scenes.
I spy with my little eye: Analysis of airline pilots' gaze patterns in a manual instrument flight scenario.

PubMed

Haslbeck, Andreas; Zhang, Bo

2017-09-01

The aim of this study was to analyze pilots' visual scanning in a manual approach and landing scenario. Manual flying skills suffer from increasing use of automation. In addition, predominantly long-haul pilots with only a few opportunities to practice these skills experience this decline. Airline pilots representing different levels of practice (short-haul vs. long-haul) had to perform a manual raw data precision approach while their visual scanning was recorded by an eye-tracking device. The analysis of gaze patterns, which are based on predominant saccades, revealed one main group of saccades among long-haul pilots. In contrast, short-haul pilots showed more balanced scanning using two different groups of saccades. Short-haul pilots generally demonstrated better manual flight performance and within this group, one type of scan pattern was found to facilitate the manual landing task more. Long-haul pilots tend to utilize visual scanning behaviors that are inappropriate for the manual ILS landing task. This lack of skills needs to be addressed by providing specific training and more practice. Copyright © 2017 Elsevier Ltd. All rights reserved.
Boosting drug named entity recognition using an aggregate classifier.

PubMed

Korkontzelos, Ioannis; Piliouras, Dimitrios; Dowsey, Andrew W; Ananiadou, Sophia

2015-10-01

Drug named entity recognition (NER) is a critical step for complex biomedical NLP tasks such as the extraction of pharmacogenomic, pharmacodynamic and pharmacokinetic parameters. Large quantities of high quality training data are almost always a prerequisite for employing supervised machine-learning techniques to achieve high classification performance. However, the human labour needed to produce and maintain such resources is a significant limitation. In this study, we improve the performance of drug NER without relying exclusively on manual annotations. We perform drug NER using either a small gold-standard corpus (120 abstracts) or no corpus at all. In our approach, we develop a voting system to combine a number of heterogeneous models, based on dictionary knowledge, gold-standard corpora and silver annotations, to enhance performance. To improve recall, we employed genetic programming to evolve 11 regular-expression patterns that capture common drug suffixes and used them as an extra means for recognition. Our approach uses a dictionary of drug names, i.e. DrugBank, a small manually annotated corpus, i.e. the pharmacokinetic corpus, and a part of the UKPMC database, as raw biomedical text. Gold-standard and silver annotated data are used to train maximum entropy and multinomial logistic regression classifiers. Aggregating drug NER methods, based on gold-standard annotations, dictionary knowledge and patterns, improved the performance on models trained on gold-standard annotations, only, achieving a maximum F-score of 95%. In addition, combining models trained on silver annotations, dictionary knowledge and patterns are shown to achieve comparable performance to models trained exclusively on gold-standard data. The main reason appears to be the morphological similarities shared among drug names. We conclude that gold-standard data are not a hard requirement for drug NER. Combining heterogeneous models build on dictionary knowledge can achieve similar or comparable classification performance with that of the best performing model trained on gold-standard annotations. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.
Training children aged 5-10 years in manual compliance control to improve drawing and handwriting.

PubMed

Bingham, Geoffrey P; Snapp-Childs, Winona

2018-04-12

A large proportion of school-aged children exhibit poor drawing and handwriting. This prevalence limits the availability of therapy. We developed an automated method for training improved manual compliance control and relatedly, prospective control of a stylus. The approach included a difficult training task, while providing parametrically modifiable support that enables the children to perform successfully while developing good compliance control. The task was to use a stylus to push a bead along a 3D wire path. Support was provided by making the wire magnetically attractive to the stylus. Support was progressively reduced as 3D tracing performance improved. We report studies that (1) compared performance of Typically Developing (TD) children and children with Developmental Coordination Disorder (DCD), (2) tested training with active versus passive movement, (3) tested progressively reduced versus constant or no support during training, (4) tested children of different ages, (5) tested the transfer of training to a drawing task, (6) tested the specificity of training in respect to the size, shape and dimensionality of figures, and (7) investigated the relevance of the training task to the Beery VMI, an inventory used to diagnose DCD. The findings were as follows. (1) Pre-training performance of TD and DCD children was the same and good with high support but distinct and poor with low support. Support yielded good self-efficacy that motivated training. Post training performance with no support was improved and the same for TD and DCD children. (2) Actively controlled movements were required for improved performance. (3) Progressively reduced support was required for good performance during and after training. (4) Age differences in performance during pre-training were eliminated post-training. (5) Improvements transferred to drawing. (6) There was no evidence of specificity of training in transfer. (7) Disparate Beery scores were reflected in pre-training but not post-training performance. We conclude that the method improves manual compliance control, and more generally, prospective control of movements used in drawing performance. Copyright © 2018. Published by Elsevier B.V.
Cost-Benefit Analysis of a Bridge to Integrate the Management of Technical Information for Producing Technical Manuals and Training Courses

DTIC Science & Technology

2010-11-01

Philadelphia, and all Computer-Based Training (CBT) courses delivered by Navy eLearning (NeL), a part of the Naval Education and Training Command (NETC...concentrated exclu- sively on the benefit side—whether the Bridge would save money in producing future technical manuals and training courses. It...of $78.1 million in 10-year costs: a savings of $86.8 million in producing future HM&E manuals and NeL-delivered courses less $8.7 million in
Aviation: Boatswain's Mate E 1 and C; Rate Training Manual.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The rate training manual has been prepared for enlisted personnel of the Navy and Naval Reserve who are studying for advancement in the Aviation Boatswain's Mate E rating. It is primarily based on the professional requirements or qualifications for ABE 1 and ABE C, as contained in the Manual of Qualifications for Advancement NavPers 18068…
We Don't Train in Vain: A Dissemination Trial of Three Strategies of Training Clinicians in Cognitive–Behavioral Therapy

PubMed Central

Sholomskas, Diane E.; Syracuse-Siewert, Gia; Rounsaville, Bruce J.; Ball, Samuel A.; Nuro, Kathryn F.; Carroll, Kathleen M.

2008-01-01

There has been little research on the effectiveness of different training strategies or the impact of exposure to treatment manuals alone on clinicians' ability to effectively implement empirically supported therapies. Seventy-eight community-based clinicians were assigned to 1 of 3 training conditions: review of a cognitive–behavioral therapy (CBT) manual only, review of the manual plus access to a CBT training Web site, or review of the manual plus a didactic seminar followed by supervised casework. The primary outcome measure was the clinicians' ability to demonstrate key CBT interventions, as assessed by independent ratings of structured role plays. Statistically significant differences favoring the seminar plus supervision over the manual only condition were found for adherence and skill ratings for 2 of the 3 role plays, with intermediate scores for the Web condition. PMID:15709837
Facilitating LOS Debriefings: A Training Manual

DOT National Transportation Integrated Search

1997-03-01

This manual is a practical guide to help airline instructors effectively : facilitate debriefings of Line Oriented Simulations (LOS). It is based on a : recently completed study of Line Oriented Flight Training (LOFT) debriefings at : several U.S. ai...
Unsupervised Ensemble Anomaly Detection Using Time-Periodic Packet Sampling

NASA Astrophysics Data System (ADS)

Uchida, Masato; Nawata, Shuichi; Gu, Yu; Tsuru, Masato; Oie, Yuji

We propose an anomaly detection method for finding patterns in network traffic that do not conform to legitimate (i.e., normal) behavior. The proposed method trains a baseline model describing the normal behavior of network traffic without using manually labeled traffic data. The trained baseline model is used as the basis for comparison with the audit network traffic. This anomaly detection works in an unsupervised manner through the use of time-periodic packet sampling, which is used in a manner that differs from its intended purpose — the lossy nature of packet sampling is used to extract normal packets from the unlabeled original traffic data. Evaluation using actual traffic traces showed that the proposed method has false positive and false negative rates in the detection of anomalies regarding TCP SYN packets comparable to those of a conventional method that uses manually labeled traffic data to train the baseline model. Performance variation due to the probabilistic nature of sampled traffic data is mitigated by using ensemble anomaly detection that collectively exploits multiple baseline models in parallel. Alarm sensitivity is adjusted for the intended use by using maximum- and minimum-based anomaly detection that effectively take advantage of the performance variations among the multiple baseline models. Testing using actual traffic traces showed that the proposed anomaly detection method performs as well as one using manually labeled traffic data and better than one using randomly sampled (unlabeled) traffic data.
Efficacy of manual versus free-weight training to improve maximal strength and performance for microgravity conditions.

PubMed

Behringer, Michael; Schüren, Thomas; McCourt, Molly; Mester, Joachim

2016-01-01

We tested a simple and compact device designed for manual resistance training in conditions of microgravity (Self-Powered Rope Trainer Duo (SPoRT Duo)) to increase muscle performance. Twenty-four participants (20.8 ± 2.1 years) were randomly assigned to a manual resistance group (n = 12) and a free-weight group (n = 12). Participants performed eight exercises (three sets; 8-12 efforts) either with free weights or the SPoRT Duo twice a week for 6 weeks. Maximal isometric force of trunk flexion, back extension and chest press increased (P at least 0.01, d at least 0.52) both in the manual resistance group (18.4% ± 15.0%; 32.7% ± 22.7%; 15.3% ± 9.7%) and free-weight group (18.0% ± 13.9%; 26.6% ± 28.9%; 13.3% ± 7.6%). The change in maximal isometric force of wide grip row in both groups (d at best 0.38) did not reach statistical significance (P at best 0.08). The squat one-repetition-maximum increased in the manual resistance group (29.8% ± 22.1%) and the free-weight group (32.4% ± 26.6%). Jump height, determined by a jump-and-reach test, increased in the free-weight group (9.8% ± 13.2%) but not in the manual resistance group (2.0% ± 8.5%). Manual resistance training was equally effective in increasing strength as traditional resistance training with free weights. This apparatus is a useful addition to current in-flight exercise systems.
An Information and Technical Manual for the Computer-Assisted Teacher Training System (CATTS).

ERIC Educational Resources Information Center

Semmel, Melvyn I.; And Others

The manual presents technical information on the computer assisted teacher training system (CATTS) which aims at developing a versatile and economical computer based teacher training system with the capability of providing immediate analysis and feedback of data relevant to teacher pupil transactions in a classroom setting. The physical…

Project READDY: Real Employment Alternatives for Developmentally Disabled Youth. Job Training Manual.

ERIC Educational Resources Information Center

Berkell, Dianne E.; And Others

The manual is intended to provide special educators, adult service providers, and parents with strategies for providing community based job training to youth with autism and other developmental disabilities. Section I deals with a variety of work sites appropriate for training young people with severe developmental disabilities. Information…
Perceived difficulty of various steps of manual small incision cataract surgery among trainees in rural China.

PubMed

Huang, Wenyong; Ye, Ronghua; Huang, Shengsong; Wang, Decai; Wang, Lanhua; Liu, Bin; Friedman, David S; He, Mingguang; Liu, Yizhi; Congdon, Nathan G

2013-01-01

The perceived difficulty of steps of manual small incision cataract surgery among trainees in rural China was assessed. Cohort study. Fifty-two trainees at the end of a manual small incision cataract surgery training programme. Participants rated the difficulty of 14 surgical steps using a 5-point scale, 1 (very easy) to 5 (very difficult). Demographic and professional information was recorded for trainees. Mean ratings for surgical steps. Questionnaires were completed by 49 trainees (94.2%, median age 38 years, 8 [16.3%] women). Twenty six (53.1%) had performed ≤50 independent cataract surgeries prior to training. Trainees rated cortical aspiration (mean score ± standard deviation = 3.10 ± 1.14) the most difficult step, followed by wound construction (2.76 ± 1.08), nuclear prolapse into the anterior chamber (2.74 ± 1.23) and lens delivery (2.51 ± 1.08). Draping the surgical field (1.06 ± 0.242), anaesthetic block administration (1.14 ± 0.354) and thermal coagulation (1.18 ± 0.441) were rated easiest. In regression models, the score for cortical aspiration was significantly inversely associated with performing >50 independent manual small incision cataract surgery surgeries during training (P = 0.01), but not with age, gender, years of experience in an eye department or total number of cataract surgeries performed prior to training. Cortical aspiration, wound construction and nuclear prolapse pose the greatest challenge for trainees learning manual small incision cataract surgery, and should receive emphasis during training. Number of cases performed is the strongest predictor of perceived difficulty of key steps. © 2013 The Authors. Clinical and Experimental Ophthalmology © 2013 Royal Australian and New Zealand College of Ophthalmologists.
Algorithm design, user interface, and optimization procedure for a fuzzy logic ramp metering algorithm : a training manual for freeway operations engineers

DOT National Transportation Integrated Search

2000-02-01

This training manual describes the fuzzy logic ramp metering algorithm in detail, as implemented system-wide in the greater Seattle area. The method of defining the inputs to the controller and optimizing the performance of the algorithm is explained...
Open-Source Logic-Based Automated Sleep Scoring Software using Electrophysiological Recordings in Rats

PubMed Central

Gross, Brooks A.; Walsh, Christine M.; Turakhia, Apurva A.; Booth, Victoria; Mashour, George; Poe, Gina R.

2009-01-01

Manual state scoring of physiological recordings in sleep studies is time-consuming, resulting in a data backlog, research delays and increased personnel costs. We developed MATLAB-based software to automate scoring of sleep/waking states in rats, potentially extendable to other animals, from a variety of recording systems. The software contains two programs, Sleep Scorer and Auto-Scorer, for manual and automated scoring. Auto-Scorer is a logic-based program that displays power spectral densities of an electromyographic signal and σ, δ, and θ frequency bands of an electroencephalographic signal, along with the δ/θ ratio and σ ×θ, for every epoch. The user defines thresholds from the training file state definitions which the Auto-Scorer uses with logic to discriminate the state of every epoch in the file. Auto-Scorer was evaluated by comparing its output to manually scored files from 6 rats under 2 experimental conditions by 3 users. Each user generated a training file, set thresholds, and autoscored the 12 files into 4 states (waking, non-REM, transition-to-REM, and REM sleep) in ¼ the time required to manually score the file. Overall performance comparisons between Auto-Scorer and manual scoring resulted in a mean agreement of 80.24 +/− 7.87%, comparable to the average agreement among 3 manual scorers (83.03 +/− 4.00%). There was no significant difference between user-user and user-Auto-Scorer agreement ratios. These results support the use of our open-source Auto-Scorer, coupled with user review, to rapidly and accurately score sleep/waking states from rat recordings. PMID:19615408
Aviation Structural Mechanic E 3 & 2. Rate Training Manual.

ERIC Educational Resources Information Center

Naval Training Publications Center, Memphis, TN.

This manual is one of a series of training manuals prepared for enlisted personnel in the Navy and Naval Reserve who are studying for advancement according to the Aviation Structural Mechanic E (AME) rating. The text is based on the professional qualifications for the rates AME3 and AME2. Contents include a 10-chapter text and a reading list…
Learning through Play for School Readiness: A Training Program for Parents and Other Caregivers of Preschool Children. Learning Games To Strengthen Children's School Readiness Skills. [Videotape with Facilitator's Manual].

ERIC Educational Resources Information Center

Singer, Jerome; Singer, Dorothy

This video-based program trains parents and other child caregivers to engage 3- to 5-year-olds in simple, motivating learning games to strengthen cognitive, social, and motor school-readiness skills. The training materials consist of a manual for training facilitators and a training video demonstrating how to play each learning game with preschool…
Adaptive Training of Manual Control: 1. Comparison of Three Adaptive Variables and Two Logic Schemes.

ERIC Educational Resources Information Center

Norman, D. A.; And Others

"Machine controlled adaptive training is a promising concept. In adaptive training the task presented to the trainee varies as a function of how well he performs. In machine controlled training, adaptive logic performs a function analogous to that performed by a skilled operator." This study looks at the ways in which gain-effective time…
Drafting Work Sample.

ERIC Educational Resources Information Center

Shawsheen Valley Regional Vocational-Technical High School, Billerica, MA.

This manual contains a work sample intended to assess a handicapped student's interest in and to screen interested students into a training program in basic mechanical drawing. (The course is based on the entry level of an assistant drafter.) Section 1 describes the assessment, correlates the work performed and worker traits required for…
Drill Press Work Sample.

ERIC Educational Resources Information Center

Shawsheen Valley Regional Vocational-Technical High School, Billerica, MA.

This manual contains a work sample intended to assess a handicapped student's interest in and to screen interested students into a training program in basic machine shop I. (The course is based on the entry level of the drill press operator.) Section 1 describes the assessment, correlates the work performed and worker traits required for…
Hospital Corpsman 3 & 2. Rate Training Manual and Nonresident Career Course.

ERIC Educational Resources Information Center

Smith, Frederick R.

This Rate Training Manual and Nonresident Career Course (RTM/NRCC) form a self-study package that will enable Hospital Corps personnel to help themselves fulfill the requirements of their rating. Among these requirements are the abilities to perform duties as assistants in the prevention, recognition, and treatment of disease and injuries, and in…
Cost Analysis Sources and Documents Data Base Reference Manual (Update)

DTIC Science & Technology

1989-06-01

M: Refcrence Manual PRICE H: Training Course Workbook 11. Use in Cost Analysis. Important source of cost estimates for electronic and mechanical...Nature of Data. Contains many microeconomic time series by month or quarter. 5. Level of Detail. Very detailed. 6. Normalization Processes Required...Reference Manual. Moorestown, N.J,: GE Corporation, September 1986. 64. PRICE Training Course Workbook . Moorestown, N.J.: GE Corporation, February 1986
Development and user evaluation of a virtual rehabilitation system for wobble board balance training.

PubMed

Fitzgerald, Diarmaid; Trakarnratanakul, Nanthana; Dunne, Lucy; Smyth, Barry; Caulfield, Brian

2008-01-01

We have developed a prototype virtual reality-based balance training system using a single inertial orientation sensor attached to the upper surface of a wobble board. This input device has been interfaced with Neverball, an open source computer game to create the balance training platform. Users can exercise with the system by standing on the wobble board and tilting it in different directions to control an on-screen environment. We have also developed a customized instruction manual to use when setting up the system. To evaluate the usability our prototype system we undertook a user evaluation study with twelve healthy novice participants. Participants were required to assemble the system using an instruction manual and then perform balance exercises with the system. Following this period of exercise VRUSE, a usability evaluation questionnaire, was completed by participants. Results indicated a high level of usability in all categories evaluated.
Home - Virginia Department of Forensic Science

Science.gov Websites

Procedure Manuals Training Manuals Digital & Multimedia Evidence Computer Analysis Video Analysis Procedure Manual Training Manual FAQ Updates Firearms & Toolmarks Procedure Manuals Training Manuals Forensic Biology Procedure Manuals Training Manuals Familial Searches Post-Conviction DNA Issues FAQ
Support Assistants for Fire Emergencies; Student Manual, Part B. Firefighting for Civil Defense Emergencies.

ERIC Educational Resources Information Center

International Association of Fire Chiefs, New York, NY.

A course designed to develop performance capabilities in the student of the fire service is presented in a manual. Each chapter is designed to give the student a basic understanding of the material covered in class. Specific objectives are: (1) To train "Support Assistant" B personnel to augment and assist firefighters, (2) To train personnel to…
Aviation Structural Mechanic S 3 & 2. NAVTRA-10308-C. Rate Training Manual.

ERIC Educational Resources Information Center

Bureau of Naval Personnel, Washington, DC.

This document is one of a series of rate training manuals designed to provide enlisted personnel of the Navy or Naval Reserve with the background information that will be useful in preparing for advancement in Aviation Structural Mechanics S (AMS) rating and to present necessary information for the proper performance of duties in that rating. The…
Effects of Refresher Training on Job-Task Typewriting Performance.

ERIC Educational Resources Information Center

Hagman, Joseph D.; Schendel, Joel D.

Two groups of 15 Administrative Specialists, 7lL Military Occupational Speciality (MOS), participated in four job-task refresher training sessions designed to enhance the typewriting of military correspondence. One group performed under a study training method which allowed use of a Correspondence Manual while arranging materials into the correct…
The effect of experience, simulator-training and biometric feedback on manual ventilation technique.

PubMed

Lewis, Rebecca; Sherfield, Cerrie A; Fellows, Christopher R; Burrow, Rachel; Young, Iain; Dugdale, Alex

2017-05-01

To determine the frequency of provision and main providers (veterinary surgeons, nurses or trainees) of manual ventilation in UK veterinary practices. Furthermore, to determine the variation in peak inspiratory (inflation) pressure (PIP), applied to a lung model during manual ventilation, by three different groups of operators (inexperienced, experienced and specialist), before and after training. Questionnaire survey, lung model simulator development and prospective testing. Postal questionnaires were sent to 100 randomly selected veterinary practices. The lung model simulator was manually ventilated in a staged process over 3 weeks, with and without real-time biometric feedback (PIP display), by three groups of volunteer operators: inexperienced, experienced and specialist. The questionnaires determined that veterinary nurses were responsible for providing the majority of manual ventilation in veterinary practices, mainly drawing on theoretical knowledge rather than any specific training. Thoracic surgery and apnoea were the main reasons for provision of manual ventilation. Specialists performed well when manually ventilating the lung model, regardless of feedback training. Both inexperienced and experienced operators showed significant improvement in technique when using the feedback training tool: variation in PIP decreased significantly until operators provided manual ventilation at PIPs within the defined optimum range. Preferences for different forms of feedback (graphical, numerical or scale display), revealed that the operators' choice was not always the method which gave least variation in PIP. This study highlighted a need for training in manual ventilation at an early stage in veterinary and veterinary nursing careers and demonstrated how feedback is important in the process of experiential learning. A manometer device which can provide immediate feedback during training, or indeed in a real clinical setting, should improve patient safety. Copyright © 2017 Association of Veterinary Anaesthetists and American College of Veterinary Anesthesia and Analgesia. Published by Elsevier Ltd. All rights reserved.
Comparing the effects of mechanical perturbation training with a compliant surface and manual perturbation training on joints kinematics after ACL-rupture.

PubMed

Nawasreh, Zakariya; Failla, Mathew; Marmon, Adam; Logerstedt, David; Snyder-Mackler, Lynn

2018-05-23

Performing physical activities on a compliant surface alters joint kinematics and increases joints stiffness. However, the effect of compliant surface on joint kinematics after ACL-rupture is yet unknown. To compare the effects of mechanical perturbation training with a compliant surface to manual perturbation training on joint kinematics after ACL-rupture. Sixteen level I/II athletes with ACL-rupture participated in this preliminary study. Eight patients received mechanical perturbation with compliant surface (Mechanical) and 8 patients received manual perturbation training (Manual). Patients completed standard gait analysis before (Pre) and after (Post) training. Significant group-by-time interactions were found for knee flexion angle at initial contact (IC) and peak knee flexion (PKF) (p<0.004), with manual group significantly increased knee flexion angle at IC and PKF (p<0.03). Main effects of group were found for hip flexion angle at IC (Manual:34.34+3.51°, Mechanical:27.68+4.08°, p = 0.011), hip rotation angle at PKE (Manual:-3.40+4.78°, Mechanical:5.43+4.78°, p < 0.0001), and knee adduction angle at PKE (Manual:-2.00+2.23°, Mechanical:0.55+2.23°, p = 0.039). Main effects of time were found for hip adduction angle at PKE (Pre:6.98+4.48°, Post:8.41+4.91°, p = 0.04), knee adduction angle at IC (Pre:-2.90+3.50°, Post:-0.62+2.58°, p = 0.03), ankle adduction angle at IC (Pre:2.16+3.54, Post:3.8+3.68, p = 0.008), and ankle flexion angle at PKF (Pre:-4.55+2.77°, Post:-2.39+3.48°, p = 0.01). Training on a compliant surface induces different effects on joint kinematics compared to manual perturbation training after ACL-rupture. Manual perturbation improved hip alignment and increased knee flexion angles, while mechanical training decreased knee flexion angles throughout the stance phase. Administering training on a compliant surface after ACL-rupture may help improving dynamic knee stability, however, long-term effects on knee health needs to be determined. Copyright © 2018 Elsevier B.V. All rights reserved.
Assessment of Robotic Patient Simulators for Training in Manual Physical Therapy Examination Techniques

PubMed Central

Ishikawa, Shun; Okamoto, Shogo; Isogai, Kaoru; Akiyama, Yasuhiro; Yanagihara, Naomi; Yamada, Yoji

2015-01-01

Robots that simulate patients suffering from joint resistance caused by biomechanical and neural impairments are used to aid the training of physical therapists in manual examination techniques. However, there are few methods for assessing such robots. This article proposes two types of assessment measures based on typical judgments of clinicians. One of the measures involves the evaluation of how well the simulator presents different severities of a specified disease. Experienced clinicians were requested to rate the simulated symptoms in terms of severity, and the consistency of their ratings was used as a performance measure. The other measure involves the evaluation of how well the simulator presents different types of symptoms. In this case, the clinicians were requested to classify the simulated resistances in terms of symptom type, and the average ratios of their answers were used as performance measures. For both types of assessment measures, a higher index implied higher agreement among the experienced clinicians that subjectively assessed the symptoms based on typical symptom features. We applied these two assessment methods to a patient knee robot and achieved positive appraisals. The assessment measures have potential for use in comparing several patient simulators for training physical therapists, rather than as absolute indices for developing a standard. PMID:25923719
Teamwork in Task Analysis. Training Manual V. Evaluation of the Marine Corps Task Analysis Program. Technical Report No. 9.

ERIC Educational Resources Information Center

Kuriloff, Arthur H.; Yoder, Dale

This training manual provides guidelines for effective teamwork and work-team maintenance and development. It was designed for use in the Marine Corps Task Analysis program, in which staff members are organized to form a work-team whose continuing performance as an effective team is crucial for success of the project. Chapter 1, the major portion…

Interpersonal Biocybernetics: Connecting Through Social Psychophysiology

NASA Technical Reports Server (NTRS)

Pope, Alan T.; Stephens, Chad L.

2012-01-01

One embodiment of biocybernetic adaptation is a human-computer interaction system designed such that physiological signals modulate the effect that control of a task by other means, usually manual control, has on performance of the task. Such a modulation system enables a variety of human-human interactions based upon physiological self-regulation performance. These interpersonal interactions may be mixes of competition and cooperation for simulation training and/or videogame entertainment
Addressing Lead-Based Paint Hazards During Renovation, Remodeling, and Rehabilitation in Federally Owned and Assisted Housing. Instructor Manual for Use in HUD-Sponsored Lead-Safe Work Practices Training.

ERIC Educational Resources Information Center

Environmental Protection Agency, Washington, DC. Office of Pollution Prevention and Toxics.

This document is the instructor's manual for a U.S. Department of Housing and Urban Development (HUD) training course that reflects the requirements of HUD's Lead Safe Housing Rule and is designed to provide training contractors with information regarding containment, minimization, and cleanup of lead hazards during activities that disturb…
Academic Peer Instruction: Reference and Training Manual (with Answers)

ERIC Educational Resources Information Center

Zaritsky, Joyce; Toce, Andi

2013-01-01

This manual consists of an introduction to our Academic Peer Instruction (API) program at LaGuardia Community College, a compilation of the materials we have developed and use for training of our tutors (with answers), and a bibliography. API is based on an internationally recognized peer tutoring program, Supplemental Instruction. (Contains 6…
Cultural Awareness Training Manual and Study Guide.

ERIC Educational Resources Information Center

Kassebaum, Peter

This learning package is designed for use in conjunction with inservice training for law enforcement personnel in California as well as for use in law enforcement academies and community college administration of justice classes in police community relations. It consists of a manual on cultural awareness and a companion workbook. Based in part on…
ADHD Symptom Severity following Participation in a Pilot, 10-Week, Manualized, Family-Based Behavioral Intervention

ERIC Educational Resources Information Center

Curtis, David F.

2010-01-01

This investigation examined the effectiveness of a pilot, manualized 10-week intervention of family skills training for ADHD-related symptoms. The intervention combined behavioral parent training and child focused behavioral activation therapy. Participants were families with children ages 7-10 diagnosed with ADHD-Combined Type. This pilot…
Aviation Structural Mechanic E 1 & C.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The rate training manual is one of a series of training handbooks prepared for enlisted personnel of the Navy and Naval Reserve who are studying for advancement in the Aviation Structural Mechanic E (AME) rating. The manual is based on the professional qualifications for the rates AME1 and AMEC. Chapters are organized according to specific job…
Predicting the clinical performance of dental students with a manual dexterity test

PubMed Central

Lugassy, Diva; Levanon, Yafi; Pilo, Raphael; Shelly, Asaf; Rosen, Gal; Meirowitz, Avi

2018-01-01

Dentists must be skilled when using dental mirrors. Working with mirrors requires spatial perception, bimanual coordination, perceptual learning and fine motor skills. Many studies have attempted to determine the predictors of manual skills among pre-clinical students, but consensus has yet to be reached. We hypothesized that valid and reliable occupational therapy test performance regarding indirect vision would differ between dental students and junior dentists and would explain the variance in manual skill performance in pre-clinical courses. To test this hypothesis, we applied the Purdue Pegboard test and O’Connor Tweezer Dexterity test under different conditions of direct and indirect vision. We administered these tests to students in phantom-head academic courses in 2015 and 2016 and to junior dentists. Students performed the tests at three time points: before phantom training (T0), at the end of the training (T1) and in the middle of the following year of study (T2). Dentists performed the same tests twice at 1st and 2nd trials one week apart. The results showed that indirect tasks were significantly more difficult to perform for both groups. These dexterity tests were sensitive enough to detect students’ improvement after phantom training. The dentists’ performances were significantly better than those of students at T0, specifically with regard to the use of tweezers under direct and indirect vision (the O’Connor test). A regression analysis showed that students’ manual grades obtained at the beginning of the phantom course, their performance on the Purdue test using both hands, and their performance on the O’Connor test under indirect vision predicted phantom course success in 80% of cases. The O’Connor test under indirect vision is the most informative means of monitoring and predicting the manual skills required in the pre-clinical year of dentistry studies. PMID:29518127
Flying the Needles: Flight Deck Automation Erodes Fine-Motor Flying Skills Among Airline Pilots.

PubMed

Haslbeck, Andreas; Hoermann, Hans-Juergen

2016-06-01

The aim of this study was to evaluate the influence of practice and training on fine-motor flying skills during a manual instrument landing system (ILS) approach. There is an ongoing debate that manual flying skills of long-haul crews suffer from a lack of flight practice due to conducting only a few flights per month and the intensive use of automation. However, objective evidence is rare. One hundred twenty-six randomly selected airline pilots had to perform a manual flight scenario with a raw data precision approach. Pilots were assigned to four equal groups according to their level of practice and training by fleet (short-haul, long-haul) and rank (first officer, captain). Average ILS deviation scores differed significantly in relation to the group assignments. The strongest predictor variable was fleet, indicating degraded performance among long-haul pilots. Manual flying skills are subject to erosion due to a lack of practice on long-haul fleets: All results support the conclusion that recent flight practice is a significantly stronger predictor for fine-motor flying performance than the time period since flight school or even the total or type-specific flight experience. Long-haul crews have to be supported in a timely manner by adequate training tailored to address manual skills or by operational provisions like mixed-fleet flying or more frequent transitions between short-haul and long-haul operation. © 2016, Human Factors and Ergonomics Society.
Reliability of lower limb alignment measures using an established landmark-based method with a customized computer software program

PubMed Central

Sled, Elizabeth A.; Sheehy, Lisa M.; Felson, David T.; Costigan, Patrick A.; Lam, Miu; Cooke, T. Derek V.

2010-01-01

The objective of the study was to evaluate the reliability of frontal plane lower limb alignment measures using a landmark-based method by (1) comparing inter- and intra-reader reliability between measurements of alignment obtained manually with those using a computer program, and (2) determining inter- and intra-reader reliability of computer-assisted alignment measures from full-limb radiographs. An established method for measuring alignment was used, involving selection of 10 femoral and tibial bone landmarks. 1) To compare manual and computer methods, we used digital images and matching paper copies of five alignment patterns simulating healthy and malaligned limbs drawn using AutoCAD. Seven readers were trained in each system. Paper copies were measured manually and repeat measurements were performed daily for 3 days, followed by a similar routine with the digital images using the computer. 2) To examine the reliability of computer-assisted measures from full-limb radiographs, 100 images (200 limbs) were selected as a random sample from 1,500 full-limb digital radiographs which were part of the Multicenter Osteoarthritis (MOST) Study. Three trained readers used the software program to measure alignment twice from the batch of 100 images, with two or more weeks between batch handling. Manual and computer measures of alignment showed excellent agreement (intraclass correlations [ICCs] 0.977 – 0.999 for computer analysis; 0.820 – 0.995 for manual measures). The computer program applied to full-limb radiographs produced alignment measurements with high inter- and intra-reader reliability (ICCs 0.839 – 0.998). In conclusion, alignment measures using a bone landmark-based approach and a computer program were highly reliable between multiple readers. PMID:19882339
An evaluation of patient self-testing competency of prothrombin time for managing anticoagulation: pre-randomization results of VA Cooperative Study #481--The Home INR Study (THINRS).

PubMed

Dolor, Rowena J; Ruybalid, R Lynne; Uyeda, Lauren; Edson, Robert G; Phibbs, Ciaran; Vertrees, Julia E; Shih, Mei-Chiung; Jacobson, Alan K; Matchar, David B

2010-10-01

Prior studies suggest patient self-testing (PST) of prothrombin time (PT) can improve the quality of anticoagulation (AC) and reduce complications (e.g., bleeding and thromboembolic events). "The Home INR Study" (THINRS) compared AC management with frequent PST using a home monitoring device to high-quality AC management (HQACM) with clinic-based monitoring on major health outcomes. A key clinical and policy question is whether and which patients can successfully use such devices. We report the results of Part 1 of THINRS in which patients and caregivers were evaluated for their ability to perform PST. Study-eligible patients (n = 3643) were trained to use the home monitoring device and evaluated after 2-4 weeks for PST competency. Information about demographics, medical history, warfarin use, medications, plus measures of numeracy, literacy, cognition, dexterity, and satisfaction with AC were collected. Approximately 80% (2931 of 3643) of patients trained on PST demonstrated competency; of these, 8% (238) required caregiver assistance. Testers who were not competent to perform PST had higher numbers of practice attempts, higher cuvette wastage, and were less able to perform a fingerstick or obtain blood for the cuvette in a timely fashion. Factors associated with failure to pass PST training included increased age, previous stroke history, poor cognition, and poor manual dexterity. A majority of patients were able to perform PST. Successful home monitoring of PT with a PST device required adequate levels of cognition and manual dexterity. Training a caregiver modestly increased the proportion of patients who can perform PST.
Voxel-based Gaussian naïve Bayes classification of ischemic stroke lesions in individual T1-weighted MRI scans.

PubMed

Griffis, Joseph C; Allendorfer, Jane B; Szaflarski, Jerzy P

2016-01-15

Manual lesion delineation by an expert is the standard for lesion identification in MRI scans, but it is time-consuming and can introduce subjective bias. Alternative methods often require multi-modal MRI data, user interaction, scans from a control population, and/or arbitrary statistical thresholding. We present an approach for automatically identifying stroke lesions in individual T1-weighted MRI scans using naïve Bayes classification. Probabilistic tissue segmentation and image algebra were used to create feature maps encoding information about missing and abnormal tissue. Leave-one-case-out training and cross-validation was used to obtain out-of-sample predictions for each of 30 cases with left hemisphere stroke lesions. Our method correctly predicted lesion locations for 30/30 un-trained cases. Post-processing with smoothing (8mm FWHM) and cluster-extent thresholding (100 voxels) was found to improve performance. Quantitative evaluations of post-processed out-of-sample predictions on 30 cases revealed high spatial overlap (mean Dice similarity coefficient=0.66) and volume agreement (mean percent volume difference=28.91; Pearson's r=0.97) with manual lesion delineations. Our automated approach agrees with manual tracing. It provides an alternative to automated methods that require multi-modal MRI data, additional control scans, or user interaction to achieve optimal performance. Our fully trained classifier has applications in neuroimaging and clinical contexts. Copyright © 2015 Elsevier B.V. All rights reserved.
Gunner's Mate M 1&C. Rate Training Manual.

ERIC Educational Resources Information Center

Bureau of Naval Personnel, Washington, DC.

This document is one of a series of manuals designed to provide enlisted men with background information that will be useful in preparing for advancement in rating and necessary in the proper performance of their duties. The manual serves as an aid for enlisted men who are preparing for advancement to Gunner's Mate Missles 1 and C and covers the…
Developing a corpus of clinical notes manually annotated for part-of-speech.

PubMed

Pakhomov, Serguei V; Coden, Anni; Chute, Christopher G

2006-06-01

This paper presents a project whose main goal is to construct a corpus of clinical text manually annotated for part-of-speech (POS) information. We describe and discuss the process of training three domain experts to perform linguistic annotation. Three domain experts were trained to perform manual annotation of a corpus of clinical notes. A part of this corpus was combined with the Penn Treebank corpus of general purpose English text and another part was set aside for testing. The corpora were then used for training and testing statistical part-of-speech taggers. We list some of the challenges as well as encouraging results pertaining to inter-rater agreement and consistency of annotation. We used the Trigrams'n'Tags (TnT) [T. Brants, TnT-a statistical part-of-speech tagger, In: Proceedings of NAACL/ANLP-2000 Symposium, 2000] tagger trained on general English data to achieve 89.79% correctness. The same tagger trained on a portion of the medical data annotated for this project improved the performance to 94.69%. Furthermore, we find that discriminating between different types of discourse represented by different sections of clinical text may be very beneficial to improve correctness of POS tagging. Our preliminary experimental results indicate the necessity for adapting state-of-the-art POS taggers to the sublanguage domain of clinical text.
Preparing Residents Effectively in Emergency Skills Training With a Serious Game

PubMed Central

Dankbaar, Mary E.W.; Roozeboom, Maartje Bakhuys; Oprins, Esther A.P. B.; Rutten, Frans; van Merrienboer, Jeroen J.G.; van Saase, Jan L.C.M.; Schuit, Stephanie C.E.

2017-01-01

Introduction Training emergency care skills is critical for patient safety but cost intensive. Serious games have been proposed as an engaging self-directed learning tool for complex skills. The objective of this study was to compare the cognitive skills and motivation of medical residents who only used a course manual as preparation for classroom training on emergency care with residents who used an additional serious game. Methods This was a quasi-experimental study with residents preparing for a rotation in the emergency department. The “reading” group received a course manual before classroom training; the “reading and game” group received this manual plus the game as preparation for the same training. Emergency skills were assessed before training (with residents who agreed to participate in an extra pretraining assessment), using validated competency scales and a global performance scale. We also measured motivation. Results All groups had comparable important characteristics (eg, experience with acute care). Before training, the reading and game group felt motivated to play the game and spent more self-study time (+2.5 hours) than the reading group. Game-playing residents showed higher scores on objectively measured and self-assessed clinical competencies but equal scores on the global performance scale and were equally motivated for training, compared with the reading group. After the 2-week training, no differences between groups existed. Conclusions After preparing training with an additional serious game, residents showed improved clinical competencies, compared with residents who only studied course material. After a 2-week training, this advantage disappeared. Future research should study the retention of game effects in blended designs. PMID:27764018
Preparing Residents Effectively in Emergency Skills Training With a Serious Game.

PubMed

Dankbaar, Mary E W; Roozeboom, Maartje Bakhuys; Oprins, Esther A P B; Rutten, Frans; van Merrienboer, Jeroen J G; van Saase, Jan L C M; Schuit, Stephanie C E

2017-02-01

Training emergency care skills is critical for patient safety but cost intensive. Serious games have been proposed as an engaging self-directed learning tool for complex skills. The objective of this study was to compare the cognitive skills and motivation of medical residents who only used a course manual as preparation for classroom training on emergency care with residents who used an additional serious game. This was a quasi-experimental study with residents preparing for a rotation in the emergency department. The "reading" group received a course manual before classroom training; the "reading and game" group received this manual plus the game as preparation for the same training. Emergency skills were assessed before training (with residents who agreed to participate in an extra pretraining assessment), using validated competency scales and a global performance scale. We also measured motivation. All groups had comparable important characteristics (eg, experience with acute care). Before training, the reading and game group felt motivated to play the game and spent more self-study time (+2.5 hours) than the reading group. Game-playing residents showed higher scores on objectively measured and self-assessed clinical competencies but equal scores on the global performance scale and were equally motivated for training, compared with the reading group. After the 2-week training, no differences between groups existed. After preparing training with an additional serious game, residents showed improved clinical competencies, compared with residents who only studied course material. After a 2-week training, this advantage disappeared. Future research should study the retention of game effects in blended designs.
Aviation Electrician's Mate 1 & C. Rate Training Manual and Nonresident Career Course.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

One of a series of training manuals prepared for enlisted personnel in the Navy and Naval Reserve who are studying for advancement in the Aviation Electrician's Mate (AE) rating, this text is based upon the Navy's professional occupational standards for AEI and AEC. Contents include a 10-chapter text followed by a subject index and the associated…
Addressing Lead-Based Paint Hazards During Renovation, Remodeling, and Rehabilitation in Federally Owned and Assisted Housing. Student Manual for Use in HUD-Sponsored Lead-Safe Work Practices Training.

ERIC Educational Resources Information Center

Department of Housing and Urban Development, Washington, DC.

This student manual comprises the United States Environmental Protection Agency's model renovation training course designed for renovation, remodeling, and painting contractors. It provides information regarding the containment, minimization, and cleanup of lead hazards during activities that disturb lead painted surfaces. Introductory material…
Bridging the gap between the science and service of HIV prevention: transferring effective research-based HIV prevention interventions to community AIDS service providers.

PubMed Central

Kelly, J A; Somlai, A M; DiFranceisco, W J; Otto-Salaj, L L; McAuliffe, T L; Hackl, K L; Heckman, T G; Holtgrave, D R; Rompa, D

2000-01-01

OBJECTIVES: AIDS service organizations (ASOs) rarely have access to the information needed to implement research-based HIV prevention interventions for their clients. We compared the effectiveness of 3 dissemination strategies for transferring HIV prevention models from the research arena to community providers of HIV prevention services. METHODS: Interviews were conducted with the directors of 74 ASOs to assess current HIV prevention services. ASOs were randomized to programs that provided (1) technical assistance manuals describing how to implement research-based HIV prevention interventions, (2) manuals plus a staff training workshop on how to conduct the implementation, or (3) manuals, the training workshop, and follow-up telephone consultation calls. Follow-up interviews determined whether the intervention model had been adopted. RESULTS: The dissemination package that provided ASOs with implementation manuals, staff training workshops, and follow-up consultation resulted in more frequent adoption and use of the research-based HIV prevention intervention for gay men, women, and other client populations. CONCLUSIONS: Strategies are needed to quickly transfer research-based HIV prevention methods to community providers of HIV prevention services. Active collaboration between researchers and service agencies results in more successful program adoption than distribution of implementation packages alone. PMID:10897186
The development of practice manual for LSC based on job analysis in radiation measurement and analysis

NASA Astrophysics Data System (ADS)

Shin, W. H.; Park, T. J.

2017-06-01

Radiation technology is closely related to the industrial growth and the creation of employment in Korea. The techniques as radiation or/and radioactivity measurement, and the practical skills achieving a higher level analysis are required. In this study, practice manual for liquid scintillation counter were developed by job analysis. Raw data applied in job analysis are collected by on/off line survey by 420 workers employed in KOREA. Importance-priority analysis was performed to make duties and competency unit that consists of knowledge, skills as each task. Refined data was reviewed by expert who experienced actual duties on site. Classification was conducted by focus group interview to deduct duties and competency unit. From the radiation devices in measurement and analysis, liquid scintillation counter was preferentially selected because of the high demands for training. Investigation of build-up status to liquid scintillation counter in KOREA was conducted. Then technical specification and operating procedure of 2 main devices were analyzed and integrated by practice manual. Duties and competency unit were applied to integrated materials respectively. To validate effectiveness, test curriculum was designed by the advanced course to workers who engaged in radiation measurement and analysis. The developed manual is structured to take advantage of test training. This manual will be a practical handbook that can improve the knowledge, skills of radiation workers in Korea.
Maintenance Performance System (Organizational). Operating Manual Maintenance Management Information System for Division 86

DTIC Science & Technology

1984-01-01

performance, diagnosing performance problems, taking corrective actions, and providing training. This report provides instructions for operating the maintenance management information system of MPS-O.

Auto Mechanics; Methodology. Technical Instruction Manual.

ERIC Educational Resources Information Center

Systems Operation Support, Inc., King of Prussia, PA.

This student instruction manual was written in conformance with selected criteria for programed instruction books as developed previously for various military training courses. The manual was developed as a part of "A Study of the Effectiveness of a Military-Type Computer-Based Instructional System When Used in Civilian High School Courses in…
Combining population and patient-specific characteristics for prostate segmentation on 3D CT images

NASA Astrophysics Data System (ADS)

Ma, Ling; Guo, Rongrong; Tian, Zhiqiang; Venkataraman, Rajesh; Sarkar, Saradwata; Liu, Xiabi; Tade, Funmilayo; Schuster, David M.; Fei, Baowei

2016-03-01

Prostate segmentation on CT images is a challenging task. In this paper, we explore the population and patient-specific characteristics for the segmentation of the prostate on CT images. Because population learning does not consider the inter-patient variations and because patient-specific learning may not perform well for different patients, we are combining the population and patient-specific information to improve segmentation performance. Specifically, we train a population model based on the population data and train a patient-specific model based on the manual segmentation on three slice of the new patient. We compute the similarity between the two models to explore the influence of applicable population knowledge on the specific patient. By combining the patient-specific knowledge with the influence, we can capture the population and patient-specific characteristics to calculate the probability of a pixel belonging to the prostate. Finally, we smooth the prostate surface according to the prostate-density value of the pixels in the distance transform image. We conducted the leave-one-out validation experiments on a set of CT volumes from 15 patients. Manual segmentation results from a radiologist serve as the gold standard for the evaluation. Experimental results show that our method achieved an average DSC of 85.1% as compared to the manual segmentation gold standard. This method outperformed the population learning method and the patient-specific learning approach alone. The CT segmentation method can have various applications in prostate cancer diagnosis and therapy.
29 CFR 541.302 - Creative professionals.

Code of Federal Regulations, 2014 CFR

2014-07-01

..., an employee's primary duty must be the performance of work requiring invention, imagination..., manual, mechanical or physical work. The exemption does not apply to work which can be produced by a person with general manual or intellectual ability and training. (b) To qualify for exemption as a...
Virtual reality bronchoscopy simulation: a revolution in procedural training.

PubMed

Colt, H G; Crawford, S W; Galbraith, O

2001-10-01

In the airline industry, training is costly and operator error must be avoided. Therefore, virtual reality (VR) is routinely used to learn manual and technical skills through simulation before pilots assume flight responsibilities. In the field of medicine, manual and technical skills must also be acquired to competently perform invasive procedures such as flexible fiberoptic bronchoscopy (FFB). Until recently, training in FFB and other endoscopic procedures has occurred on the job in real patients. We hypothesized that novice trainees using a VR skill center could rapidly acquire basic skills, and that results would compare favorably with those of senior trainees trained in the conventional manner. We prospectively studied five novice bronchoscopists entering a pulmonary and critical care medicine training program. They were taught to perform inspection flexible bronchoscopy using a VR bronchoscopy skill center; dexterity, speed, and accuracy were tested using the skill center and an inanimate airway model before and after 4 h of group instruction and 4 h of individual unsupervised practice. Results were compared to those of a control group of four skilled physicians who had performed at least 200 bronchoscopies during 2 years of training. Student's t tests were used to compare mean scores of study and control groups for the inanimate model and VR bronchoscopy simulator. Before-training and after-training test scores were compared using paired t tests. For comparisons between after-training novice and skilled physician scores, unpaired two-sample t tests were used. Novices significantly improved their dexterity and accuracy in both models. They missed fewer segments after training than before training, and had fewer contacts with the bronchial wall. There was no statistically significant improvement in speed or total time spent not visualizing airway anatomy. After training, novice performance equaled or surpassed that of the skilled physicians. Novices performed more thorough examinations and missed significantly fewer segments in both the inanimate and virtual simulation models. A short, focused course of instruction and unsupervised practice using a virtual bronchoscopy simulator enabled novice trainees to attain a level of manual and technical skill at performing diagnostic bronchoscopic inspection similar to those of colleagues with several years of experience. These skills were readily reproducible in a conventional inanimate airway-training model, suggesting they would also be translatable to direct patient care.
DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, X; Wang, J; Hu, W

Purpose: The Varian RapidPlan™ is a commercial knowledge-based optimization process which uses a set of clinically used treatment plans to train a model that can predict individualized dose-volume objectives. The purpose of this study is to evaluate the performance of RapidPlan to generate intensity modulated radiation therapy (IMRT) plans for cervical cancer. Methods: Totally 70 IMRT plans for cervical cancer with varying clinical and physiological indications were enrolled in this study. These patients were all previously treated in our institution. There were two prescription levels usually used in our institution: 45Gy/25 fractions and 50.4Gy/28 fractions. 50 of these plans weremore » selected to train the RapidPlan model for predicting dose-volume constraints. After model training, this model was validated with 10 plans from training pool(internal validation) and additional other 20 new plans(external validation). All plans used for the validation were re-optimized with the original beam configuration and the generated priorities from RapidPlan were manually adjusted to ensure that re-optimized DVH located in the range of the model prediction. DVH quantitative analysis was performed to compare the RapidPlan generated and the original manual optimized plans. Results: For all the validation cases, RapidPlan based plans (RapidPlan) showed similar or superior results compared to the manual optimized ones. RapidPlan increased the result of D98% and homogeneity in both two validations. For organs at risk, the RapidPlan decreased mean doses of bladder by 1.25Gy/1.13Gy (internal/external validation) on average, with p=0.12/p<0.01. The mean dose of rectum and bowel were also decreased by an average of 2.64Gy/0.83Gy and 0.66Gy/1.05Gy,with p<0.01/ p<0.01and p=0.04/<0.01 for the internal/external validation, respectively. Conclusion: The RapidPlan model based cervical cancer plans shows ability to systematically improve the IMRT plan quality. It suggests that RapidPlan has great potential to make the treatment planning process more efficient.« less
Structured reporting platform improves CAD-RADS assessment.

PubMed

Szilveszter, Bálint; Kolossváry, Márton; Karády, Júlia; Jermendy, Ádám L; Károlyi, Mihály; Panajotu, Alexisz; Bagyura, Zsolt; Vecsey-Nagy, Milán; Cury, Ricardo C; Leipsic, Jonathon A; Merkely, Béla; Maurovich-Horvat, Pál

2017-11-01

Structured reporting in cardiac imaging is strongly encouraged to improve quality through consistency. The Coronary Artery Disease - Reporting and Data System (CAD-RADS) was recently introduced to facilitate interdisciplinary communication of coronary CT angiography (CTA) results. We aimed to assess the agreement between manual and automated CAD-RADS classification using a structured reporting platform. Five readers prospectively interpreted 500 coronary CT angiographies using a structured reporting platform that automatically calculates the CAD-RADS score based on stenosis and plaque parameters manually entered by the reader. In addition, all readers manually assessed CAD-RADS blinded to the automatically derived results, which was used as the reference standard. We evaluated factors influencing reader performance including CAD-RADS training, clinical load, time of the day and level of expertise. Total agreement between manual and automated classification was 80.2%. Agreement in stenosis categories was 86.7%, whereas the agreement in modifiers was 95.8% for "N", 96.8% for "S", 95.6% for "V" and 99.4% for "G". Agreement for V improved after CAD-RADS training (p = 0.047). Time of the day and clinical load did not influence reader performance (p > 0.05 both). Less experienced readers had a higher total agreement as compared to more experienced readers (87.0% vs 78.0%, respectively; p = 0.011). Even though automated CAD-RADS classification uses data filled in by the readers, it outperforms manual classification by preventing human errors. Structured reporting platforms with automated calculation of the CAD-RADS score might improve data quality and support standardization of clinical decision making. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
A Marketing Manual for Job Developers.

ERIC Educational Resources Information Center

Serapio, Manuel G., Jr.

This manual is intended for job developers and people working in educational, vocational, and training organizations with responsibilities for job development and placement. It is designed to help them perform their responsibilities more effectively by making them more responsive to market needs and more efficient in executing their…
3-D localization of virtual sound sources: effects of visual environment, pointing method, and training.

PubMed

Majdak, Piotr; Goupell, Matthew J; Laback, Bernhard

2010-02-01

The ability to localize sound sources in three-dimensional space was tested in humans. In Experiment 1, naive subjects listened to noises filtered with subject-specific head-related transfer functions. The tested conditions included the pointing method (head or manual pointing) and the visual environment (VE; darkness or virtual VE). The localization performance was not significantly different between the pointing methods. The virtual VE significantly improved the horizontal precision and reduced the number of front-back confusions. These results show the benefit of using a virtual VE in sound localization tasks. In Experiment 2, subjects were provided with sound localization training. Over the course of training, the performance improved for all subjects, with the largest improvements occurring during the first 400 trials. The improvements beyond the first 400 trials were smaller. After the training, there was still no significant effect of pointing method, showing that the choice of either head- or manual-pointing method plays a minor role in sound localization performance. The results of Experiment 2 reinforce the importance of perceptual training for at least 400 trials in sound localization studies.
Effects of brief training on use of automated external defibrillators by people without medical expertise.

PubMed

Mitchell, K Blake; Gugerty, Leo; Muth, Eric

2008-04-01

This study examined the effect of three types of brief training on the use of automatic external defibrillators (AEDs) by 43 lay users. Because AEDs were recently approved for home use, brief training for nonprofessional users needs investigation. During training, the exposure training group read an article about AEDs that provided no information on how to operate them; the low-training group inspected the AED and read the operating instructions in the paper-based manual but was not allowed to use the device; and the high-training group watched a training video and performed a mock resuscitation using the AED but no manikin. All participants returned 2 weeks later and performed a surprise simulated AED resuscitation on a manikin. Most participants in each training group met criteria of minimally acceptable performance during the simulated manikin resuscitation, as measured by time to first shock, pad placement accuracy, and safety check performance. All participants who committed errors were able to successfully recover from them to complete the resuscitation. Compared with exposure training, the low and high training had a beneficial effect on time to first shock and errors. Untrained users were able to adequately use this AED, demonstrating walk-up-and-use usability, but additional brief training improved user performance. This study demonstrated the importance of providing high-quality but brief training for home AED users. In conjunction with other findings, the current study helps demonstrate the need for well-designed training for consumer medical devices.
Small Enterprise Development Pre-Service Training Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-42.

ERIC Educational Resources Information Center

Pragma Corp., Falls Church, VA.

This manual is intended to assist Peace Corps trainers in providing preservice technical training in small enterprise development. The manual includes a total of 40 training sessions divided among 10 learning modules. The following topics are covered: the main principles of small enterprise development; Peace Corps volunteers as small enterprise…
Training in time-limited dynamic psychotherapy: A systematic comparison of pre- and post-training cases treated by one therapist.

PubMed

Anderson, Timothy; Strupp, Hans H

2015-01-01

This qualitative study systematically compared cases treated by the same therapist in order to understand the group comparison findings of a larger study on training of experienced therapists (the "Vanderbilt II" psychotherapy project). The therapist, Dr C., was selected based on the therapist's overall treatment successes. His two patients were selected based on their outcomes and the relative training cohort from which they were drawn: a case with successful outcome from the pre-training cohort and a case of negligible improvement from the post-training cohort. Dr C. demonstrated a variety of interpersonal skills throughout his pre-training case, though there was also poor interpersonal process throughout. However, in the second case he had considerable difficulty in adapting his typical therapeutic approach to the requirements of the time-limited dynamic psychotherapy (TLDP) manual, even while appearing to work hard to find ways to use the manual. Dr C.'s spontaneity, and his unique set of interpersonal skills may enhanced his initial rapport and alliance building with clients and yet may not have interfaced well with TLDP. His unique interpersonal skills also may have contributed to problems of interpersonal process. Future research may benefit from examining the interaction of between therapist interpersonal skills and the implementation of the treatment manual.
The influence of spatial ability and experience on performance during spaceship rendezvous and docking.

PubMed

Du, Xiaoping; Zhang, Yijing; Tian, Yu; Huang, Weifen; Wu, Bin; Zhang, Jingyu

2015-01-01

Manual rendezvous and docking (manual RVD) is a challenging space task for astronauts. Previous research showed a correlation between spatial ability and manual RVD skills among participants at early stages of training, but paid less attention to experts. Therefore, this study tried to explore the role of spatial ability in manual RVD skills in two groups of trainees, one relatively inexperienced and the other experienced operators. Additionally, mental rotation has been proven essential in RVD and was tested in this study among 27 male participants, 15 novices, and 12 experts. The participants performed manual RVD tasks in a high fidelity simulator. Results showed that experience moderated the relation between mental rotation ability and manual RVD performance. On one hand, novices with high mental rotation ability tended to perform that RVD task more successfully; on the other hand, experts with high mental rotation ability showed not only no performance advantage in the final stage of the RVD task, but had certain disadvantages in their earlier processes. Both theoretical and practical implications were discussed.
The influence of spatial ability and experience on performance during spaceship rendezvous and docking

PubMed Central

Du, Xiaoping; Zhang, Yijing; Tian, Yu; Huang, Weifen; Wu, Bin; Zhang, Jingyu

2015-01-01

Manual rendezvous and docking (manual RVD) is a challenging space task for astronauts. Previous research showed a correlation between spatial ability and manual RVD skills among participants at early stages of training, but paid less attention to experts. Therefore, this study tried to explore the role of spatial ability in manual RVD skills in two groups of trainees, one relatively inexperienced and the other experienced operators. Additionally, mental rotation has been proven essential in RVD and was tested in this study among 27 male participants, 15 novices, and 12 experts. The participants performed manual RVD tasks in a high fidelity simulator. Results showed that experience moderated the relation between mental rotation ability and manual RVD performance. On one hand, novices with high mental rotation ability tended to perform that RVD task more successfully; on the other hand, experts with high mental rotation ability showed not only no performance advantage in the final stage of the RVD task, but had certain disadvantages in their earlier processes. Both theoretical and practical implications were discussed. PMID:26236252
Respiratory Therapy Assistant. Student's Manual.

ERIC Educational Resources Information Center

Jones, Judy A.

This manual is one in a new series of self-contained materials for students enrolled in training with the allied health field. It includes competencies that are associated with the performance of skills by students beginning the study of respiratory therapy assistance. Intended to be used for individualized instruction under the supervision of an…
Self-guided strategy-adaption training for older adults: Transfer effects to everyday tasks.

PubMed

Bottiroli, Sara; Cavallini, Elena; Dunlosky, John; Vecchi, Tomaso; Hertzog, Christopher

2017-09-01

The goal of the present research was to examine the potential of a learner-oriented approach to improving older adults' performance in tasks that are similar to real-life situations that require strategic deployment of cognitive resources. A crucial element of this approach involves encouraging older adults to explicitly analyze tasks to consider how to adapt trained skills to a new task context. In an earlier study, a specialist-directed intervention produced training gains and transfer to some untrained memory tasks. In the present study, older adults received a manual instructing them about principles of task analysis, two memory strategies, and strategy adaptation. Self-guided strategy-adaption training involved practicing some memory tasks as well as instructions on how the trained skills could be applied to new tasks that were not practiced. The criterion tasks involved practice tasks, non-practiced tasks that were discussed in the manual, and transfer tasks that were never mentioned in the manual. Two of the tests were from the Everyday Cognition Battery (inductive reasoning and working memory). As compared to a waiting-list control group, older adults assigned to self-guided strategy-adaption training showed memory improvements on tasks that were practiced or discussed during training. Most important, the learner-oriented approach produced transfer to the everyday tasks. Our findings show the potential of instructing task appraisal processes as a basis for fostering transfer, including improving older adults' performance in simulated everyday tasks. Copyright © 2017 Elsevier B.V. All rights reserved.
Resistance Training Reduces Force Tremor and Improves Manual Dexterity in Older Individuals With Essential Tremor.

PubMed

Kavanagh, Justin J; Wedderburn-Bisshop, Jacob; Keogh, Justin W L

2016-01-01

Although symptoms of Essential Tremor (ET) are typically controlled with medication, it is of interest to explore additional therapies to assist with functionality. The purpose of this study was to determine if a generalized upper limb resistance training (RT) program improves manual dexterity and reduces force tremor in older individuals with ET. Ten Essential Tremor and 9 controls were recruited into a dual group, pretest-posttest intervention study. Participants performed 6 weeks of upper-limb RT, and battery of manual dexterity and isometric force tremor assessments were performed before and after the RT to determine the benefits of the program. The six-week, high-load, RT program produced strength increases in each limb for the ET and healthy older group. These changes in strength aligned with improvements in manual dexterity and tremor-most notably for the ET group. The least affected limb and the most affected limb exhibited similar improvements in functional assessments of manual dexterity, whereas reductions in force tremor amplitude following the RT program were restricted to the most affected limb of the ET group. These findings suggest that generalized upper limb RT program has the potential to improve aspects of manual dexterity and reduce force tremor in older ET patients.
Effects of False Tilt Cues on the Training of Manual Roll Control Skills

NASA Technical Reports Server (NTRS)

Zaal, Peter M. T.; Popovici, Alexandru; Zavala, Melinda A.

2015-01-01

This paper describes a transfer-of-training study performed in the NASA Ames Vertica lMotion Simulator. The purpose of the study was to investigate the effect of false tilt cues on training and transfer of training of manual roll control skills. Of specific interest were the skills needed to control unstable roll dynamics of a mid-size transport aircraft close to the stall point. Nineteen general aviation pilots trained on a roll control task with one of three motion conditions: no motion, roll motion only, or reduced coordinated roll motion. All pilots transferred to full coordinated roll motion in the transfer session. A novel multimodal pilot model identification technique was successfully applied to characterize how pilots' use of visual and motion cues changed over the course of training and after transfer. Pilots who trained with uncoordinated roll motion had significantly higher performance during training and after transfer, even though they experienced the false tilt cues. Furthermore, pilot control behavior significantly changed during the two sessions, as indicated by increasing visual and motion gains, and decreasing lead time constants. Pilots training without motion showed higher learning rates after transfer to the full coordinated roll motion case.
ezTag: tagging biomedical concepts via interactive learning.

PubMed

Kwon, Dongseop; Kim, Sun; Wei, Chih-Hsuan; Leaman, Robert; Lu, Zhiyong

2018-05-18

Recently, advanced text-mining techniques have been shown to speed up manual data curation by providing human annotators with automated pre-annotations generated by rules or machine learning models. Due to the limited training data available, however, current annotation systems primarily focus only on common concept types such as genes or diseases. To support annotating a wide variety of biological concepts with or without pre-existing training data, we developed ezTag, a web-based annotation tool that allows curators to perform annotation and provide training data with humans in the loop. ezTag supports both abstracts in PubMed and full-text articles in PubMed Central. It also provides lexicon-based concept tagging as well as the state-of-the-art pre-trained taggers such as TaggerOne, GNormPlus and tmVar. ezTag is freely available at http://eztag.bioqrator.org.
Automatic segmentation of the puborectalis muscle in 3D transperineal ultrasound.

PubMed

van den Noort, Frieda; Grob, Anique T M; Slump, Cornelis H; van der Vaart, Carl H; van Stralen, Marijn

2017-10-11

The introduction of 3D analysis of the puborectalis muscle, for diagnostic purposes, into daily practice is hindered by the need for appropriate training of the observers. Automatic 3D segmentation of the puborectalis muscle in 3D transperineal ultrasound may aid to its adaption in clinical practice. A manual 3D segmentation protocol was developed to segment the puborectalis muscle. The data of 20 women, in their first trimester of pregnancy, was used to validate the reproducibility of this protocol. For automatic segmentation, active appearance models of the puborectalis muscle were developed. Those models were trained using manual segmentation data of 50 women. The performance of both manual and automatic segmentation was analyzed by measuring the overlap and distance between the segmentations. Also, the interclass correlation coefficients and their 95% confidence intervals were determined for mean echogenicity and volume of the puborectalis muscle. The ICC values of mean echogenicity (0.968-0.991) and volume (0.626-0.910) are good to very good for both automatic and manual segmentation. The results of overlap and distance for manual segmentation are as expected, showing only few pixels (2-3) mismatch on average and a reasonable overlap. Based on overlap and distance 5 mismatches in automatic segmentation were detected, resulting in an automatic segmentation a success rate of 90%. In conclusion, this study presents a reliable manual and automatic 3D segmentation of the puborectalis muscle. This will facilitate future investigation of the puborectalis muscle. It also allows for reliable measurements of clinically potentially valuable parameters like mean echogenicity. This article is protected by copyright. All rights reserved.
Evaluation of simulation-based training on the ability of birth attendants to correctly perform bimanual compression as obstetric first aid.

PubMed

Andreatta, Pamela; Gans-Larty, Florence; Debpuur, Domitilla; Ofosu, Anthony; Perosky, Joseph

2011-10-01

Maternal mortality from postpartum hemorrhage remains high globally, in large part because women give birth in rural communities where unskilled (traditional birth attendants) provide care for delivering mothers. Traditional attendants are neither trained nor equipped to recognize or manage postpartum hemorrhage as a life-threatening emergent condition. Recommended treatment includes using uterotonic agents and physical manipulation to aid uterine contraction. In resource-limited areas where Obstetric first aid may be the only care option, physical methods such as bimanual uterine compression are easily taught, highly practical and if performed correctly, highly effective. A simulator with objective performance feedback was designed to teach skilled and unskilled birth attendants to perform the technique. To evaluate the impact of simulation-based training on the ability of birth attendants to correctly perform bimanual compression in response to postpartum hemorrhage from uterine atony. Simulation-based training was conducted for skilled (N=111) and unskilled birth attendants (N=14) at two regional (Kumasi, Tamale) and two district (Savelugu, Sene) medical centers in Ghana. Training was evaluated using Kirkpatrick's 4-level model. All participants significantly increased their bimanual uterine compression skills after training (p=0.000). There were no significant differences between 2-week delayed post-test performances indicating retention (p=0.52). Applied behavioral and clinical outcomes were reported for 9 months from a subset of birth attendants in Sene District: 425 births, 13 postpartum hemorrhages were reported without concomitant maternal mortality. The results of this study suggest that simulation-based training for skilled and unskilled birth attendants to perform bi-manual uterine compression as postpartum hemorrhage Obstetric first aid leads to improved applied procedural skills. Results from a smaller subset of the sample suggest that these skills could potentially lead to improved clinical outcomes and additional study is merited. Copyright © 2011 Elsevier Ltd. All rights reserved.

Russian Language Competencies for Peace Corps Volunteers in Russia.

ERIC Educational Resources Information Center

Strobykina, Irina; Fomenko, Nataliya

This Peace Corps volunteer language training manual is based on the experience of two pre-service trainings and was guided by the Peace Corps language training curriculum. The learning approach is competency-based or topic-oriented to provide survival competencies. Three main sections review phonetics, topics for discussion, and practical grammar…
A Review of Extension Master Gardener Training Manuals from around the United States

ERIC Educational Resources Information Center

Moore, Kathleen; Bradley, Lucy K.

2015-01-01

Extension Master Gardener Volunteers (EMGVs) are recruited and trained to answer questions and diagnose gardening problems for the public. Most states have developed an EMGV Manual for use in the initial training. Thirty-two EMGV Training manuals from across the United States were reviewed for form and content. While many of the manuals have…
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.
C.I.E. Teacher-Coordinator Training Plans.

ERIC Educational Resources Information Center

Natale, Don; And Others

The stated purpose of this training plan manual is to assist the cooperative industrial education coordinator in determining the student's performance both in school and on the job in order that the student learner may reach his/her occupational goal. Major contents are training plans (lists of learning experiences and job tasks to be undertaken…
Auto Body Repairer (Branch 2). Performance Demonstration Guidelines. Apprenticeship Training Program = Carrossiers automobiles (categorie 2). Programme de formation des apprentis.

ERIC Educational Resources Information Center

Ontario Ministry of Skills Development, Toronto.

This manual presents training standards for auto body repairers (branch 2) and is intended to be used by apprentice/trainees, instructors, and companies in Ontario, Canada as a blueprint for training or as a prerequisite for accreditation/certification. The training standards identify skills required for this occupation and its related training…
School-Based Prevention of Bullying and Relational Aggression in Adolescence: The Fairplayer.manual

ERIC Educational Resources Information Center

Scheithauer, Herbert; Hess, Markus; Schultze-Krumbholz, Anja; Bull, Heike Dele

2012-01-01

The fairplayer.manual is a school-based program to prevent bullying. The program consists of fifteen to seventeen consecutive ninety-minute lessons using cognitive-behavioral methods, methods targeting group norms and group dynamics, and discussions on moral dilemmas. Following a two-day training session, teachers, together with skilled…
Students' experiences of learning manual clinical skills through simulation.

PubMed

Johannesson, Eva; Silén, Charlotte; Kvist, Joanna; Hult, Håkan

2013-03-01

Learning manual skills is a fundamental part of health care education, and motor, sensory and cognitive learning processes are essential aspects of professional development. Simulator training has been shown to enhance factors that facilitate motor and cognitive learning. The present study aimed to investigate the students' experiences and thoughts about their learning through simulation skills training. The study was designed for an educational setting at a clinical skills centre. Ten third-year undergraduate nursing students performed urethral catheterisation, using the virtual reality simulator UrecathVision™, which has haptic properties. The students practised in pairs. Each session was videotaped and the video was used to stimulate recall in subsequent interviews. The interviews were analysed using qualitative content analysis. The analysis from interviews resulted in three themes: what the students learn, how the students learn, and the simulator's contribution to the students' learning. Students learned manual skills, how to perform the procedure, and professional behaviour. They learned by preparing, watching, practising and reflecting. The simulator contributed by providing opportunities for students to prepare for the skills training, to see anatomical structures, to feel resistance, and to become aware of their own performance ability. The findings show that the students related the task to previous experiences, used sensory information, tested themselves and practised techniques in a hands-on fashion, and reflected in and on action. The simulator was seen as a facilitator to learning the manual skills. The study design, with students working in pairs combined with video recording, was found to enhance opportunities for reflection.
[A workplace intervention aimed at increasing awareness in nursing personnel performing manual handling activities].

PubMed

Scorpiniti, A; Lorusso, A; L'Abbate, N

2007-01-01

Here we describe a workplace intervention aimed at reducing the risk of low back pain in nursing personnel. The intervention we carried out included a specific ergonomic training and an exercise program according to the Feldenkrais Method. After the intervention, we evaluated its effect on the execution of manual handling activities in nurses. We found an increased rate of correct manual handling in the post-intervention period.
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
"Sew" You're an Alterationist. Student Manual and Teacher Manual.

ERIC Educational Resources Information Center

Kemp, Louie E., Comp.

The Home Economics Related Occupation Student Learning Packet on sewing instruction is designed to give an understanding of the duties and responsibilities of an alteration worker to learn the skills needed to perform the job of an alteration worker. Upon completion of this training, the student should have developed sewing instruction skills…
Medical Laboratory Services. Student's Manual. Cluster Core for Health Occupations Education.

ERIC Educational Resources Information Center

Williams, Catherine

This student's manual on medical laboratory services is one of a series of self-contained, individualized materials for students enrolled in training within the allied health field. It includes competencies that are associated with the performance of skills common to several occupations in the medical laboratory. The material is intended for use…
Satisfaction and perceptions of long-term manual wheelchair users with a spinal cord injury upon completion of a locomotor training program with an overground robotic exoskeleton.

PubMed

Gagnon, Dany H; Vermette, Martin; Duclos, Cyril; Aubertin-Leheudre, Mylène; Ahmed, Sara; Kairy, Dahlia

2017-12-19

The main objectives of this study were to quantify clients' satisfaction and perception upon completion of a locomotor training program with an overground robotic exoskeleton. A group of 14 wheelchair users with a spinal cord injury, who finished a 6-8-week locomotor training program with the robotic exoskeleton (18 training sessions), were invited to complete a web-based electronic questionnaire. This questionnaire encompassed 41 statements organized around seven key domains: overall satisfaction related to the training program, satisfaction related to the overground robotic exoskeleton, satisfaction related to the program attributes, perceived learnability, perceived health benefits and risks and perceived motivation to engage in physical activity. Each statement was rated using a visual analogue scale ranging from "0 = totally disagree" to "100 = completely agree". Overall, respondents unanimously considered themselves satisfied with the locomotor training program with the robotic exoskeleton (95.7 ± 0.7%) and provided positive feedback about the robotic exoskeleton itself (82.3 ± 6.9%), the attributes of the locomotor training program (84.5 ± 6.9%) and their ability to learn to perform sit-stand transfers and walk with the robotic exoskeleton (79.6 ± 17%). Respondents perceived some health benefits (67.9 ± 16.7%) and have reported no fear of developing secondary complications or of potential risk for themselves linked to the use of the robotic exoskeleton (16.7 ± 8.2%). At the end of the program, respondents felt motivated to engage in a regular physical activity program (91.3 ± 0.1%). This study provides new insights on satisfaction and perceptions of wheelchair users while also confirming the relevance to continue to improve such technologies, and informing the development of future clinical trials. Implications for Rehabilitation All long-term manual wheelchair users with a spinal cord injury who participated in the study are unanimously satisfied upon completion of a 6-8-week locomotor training program with the robotic exoskeleton and would recommend the program to their peers. All long-term manual wheelchair users with a spinal cord injury who participated in the study offered positive feedback about the robotic exoskeleton itself and feel it is easy to learn to perform sit-stand transfers and walk with the robotic exoskeleton. All long-term manual wheelchair users with a spinal cord injury who participated in the study predominantly perceived improvements in their overall health status, upper limb strength and endurance as well as in their sleep and psychological well-being upon completion of a 6-8-week locomotor training program with the robotic exoskeleton. All long-term manual wheelchair users with a spinal cord injury who participated in the study unanimously felt motivated to engage in a regular physical activity program adapted to their condition and most of them do plan to continue to participate in moderate-to-strenuous physical exercise. Additional research on clients' perspectives, especially satisfaction with the overground exoskeleton and locomotor training program attributes, is needed.
Effect of Robot-Assisted Game Training on Upper Extremity Function in Stroke Patients

PubMed Central

2017-01-01

Objective To determine the effects of combining robot-assisted game training with conventional upper extremity rehabilitation training (RCT) on motor and daily functions in comparison with conventional upper extremity rehabilitation training (OCT) in stroke patients. Methods Subjects were eligible if they were able to perform the robot-assisted game training and were divided randomly into a RCT and an OCT group. The RCT group performed one daily session of 30 minutes of robot-assisted game training with a rehabilitation robot, plus one daily session of 30 minutes of conventional rehabilitation training, 5 days a week for 2 weeks. The OCT group performed two daily sessions of 30 minutes of conventional rehabilitation training. The effects of training were measured by a Manual Function Test (MFT), Manual Muscle Test (MMT), Korean version of the Modified Barthel Index (K-MBI) and a questionnaire about satisfaction with training. These measurements were taken before and after the 2-week training. Results Both groups contained 25 subjects. After training, both groups showed significant improvements in motor and daily functions measured by MFT, MMT, and K-MBI compared to the baseline. Both groups demonstrated similar training effects, except motor power of wrist flexion. Patients in the RCT group were more satisfied than those in the OCT group. Conclusion There were no significant differences in changes in most of the motor and daily functions between the two types of training. However, patients in the RCT group were more satisfied than those in the OCT group. Therefore, RCT could be a useful upper extremity rehabilitation training method. PMID:28971037
An Evaluation of Generalization of Mands during Functional Communication Training

ERIC Educational Resources Information Center

Falcomata, Terry S.; Wacker, David P.; Ringdahl, Joel E.; Vinquist, Kelly; Dutt, Anuradha

2013-01-01

The primary purpose of this study was to evaluate the generalization of mands during functional communication training (FCT) and sign language training across functional contexts (i.e., positive reinforcement, negative reinforcement). A secondary purpose was to evaluate a training procedure based on stimulus control to teach manual signs. During…
Buckle Up Kids: Child Passenger Trauma Prevention. Participants' Manual

DOT National Transportation Integrated Search

1996-10-01

This is the Participants' Manual for a training program designed to encourage fire/rescue stations to become a community-based information and service center for life safety education and prevention issues. The course has two parts: (I) Promoting Chi...
Irrigation Training Manual. Planning, Design, Operation, and Management of Small-Scale Irrigation Systems [and] Irrigation Reference Manual. A Technical Reference to Be Used with the Peace Corps Irrigation Training Manual T0076 in the Selection, Planning, Design, Operation, and Management of Small-Scale Irrigation Systems.

ERIC Educational Resources Information Center

Salazar, LeRoy; And Others

This resource for trainers involved in irrigated agriculture training for Peace Corps volunteers consists of two parts: irrigation training manual and irrigation reference manual. The complete course should fully prepare volunteers serving as irrigation, specialists to plan, implement, evaluate and manage small-scale irrigation projects in arid,…
Millwright Instructional Materials.

ERIC Educational Resources Information Center

Hendrix, Laborn J.; Pierce, Greg

This manual contains instructional materials for use in training millwrights working in industrial and commercial construction sites. Intended as an innovative complement to on-the-job training in construction, the material is written in terms of student performance using behavioral objectives and measured by criterion-referenced evaluation…
Training Addiction Counselors to Implement an Evidence-Based Intervention: Strategies for Increasing Organizational and Provider Acceptance

ERIC Educational Resources Information Center

Woo, Stephanie M.; Hepner, Kimberly A.; Gilbert, Elizabeth A.; Osilla, Karen Chan; Hunter, Sarah B.; Munoz, Ricardo F.; Watkins, Katherine E.

2013-01-01

One barrier to widespread public access to empirically supported treatments (ESTs) is the limited availability and high cost of professionals trained to deliver them. Our earlier work from 2 clinical trials demonstrated that front-line addiction counselors could be trained to deliver a manualized, group-based cognitive behavioral therapy (GCBT)…
Sanitary Survey Training. The Need-to-Know Material. Instructor's Technical Manual.

ERIC Educational Resources Information Center

Gardner, Anne, Ed.

This manual, developed as an aid to state agencies who provide instruction to inspectors of water systems, is based on the minimum information that an inspector with limited experience needs to know to successfully assess a public water system. The manual is designed for use by individuals who are experts in the field of water systems and sanitary…
Improved training for target detection using Fukunaga-Koontz transform and distance classifier correlation filter

NASA Astrophysics Data System (ADS)

Elbakary, M. I.; Alam, M. S.; Aslan, M. S.

2008-03-01

In a FLIR image sequence, a target may disappear permanently or may reappear after some frames and crucial information such as direction, position and size related to the target are lost. If the target reappears at a later frame, it may not be tracked again because the 3D orientation, size and location of the target might be changed. To obtain information about the target before disappearing and to detect the target after reappearing, distance classifier correlation filter (DCCF) is trained manualy by selecting a number of chips randomly. This paper introduces a novel idea to eliminates the manual intervention in training phase of DCCF. Instead of selecting the training chips manually and selecting the number of the training chips randomly, we adopted the K-means algorithm to cluster the training frames and based on the number of clusters we select the training chips such that a training chip for each cluster. To detect and track the target after reappearing in the field-ofview ,TBF and DCCF are employed. The contduced experiemnts using real FLIR sequences show results similar to the traditional agorithm but eleminating the manual intervention is the advantage of the proposed algorithm.

Transcranial direct current stimulation combined with upper limb functional training in children with spastic, hemiparetic cerebral palsy: study protocol for a randomized controlled trial.

PubMed

Moura, Renata Calhes Franco; Santos, Cibele Almeida; Grecco, Luanda André Collange; Lazzari, Roberta Delasta; Dumont, Arislander Jonathan Lopes; Duarte, Natalia Carvalho de Almeida; Braun, Luiz Alfredo; Lopes, Jamile Benite Palma; Santos, Ligia Abram Dos; Rodrigues, Eliane Lopes Souza; Albertini, Giorgio; Cimolin, Veronica; Galli, Manuela; Oliveira, Claudia Santos

2016-08-17

The aim of the proposed study is to perform a comparative analysis of functional training effects for the paretic upper limb with and without transcranial direct current stimulation over the primary motor cortex in children with spastic hemiparetic cerebral palsy. The sample will comprise 34 individuals with spastic hemiparetic cerebral palsy, 6 to 16 years old, classified at level I, II, or III of the Manual Ability Classification System. Participants will be randomly allocated to two groups: (1) functional training of the paretic upper limb combined with anodic transcranial stimulation; (2) functional training of the paretic upper limb combined with sham transcranial stimulation. Evaluation will involve three-dimensional movement analysis and electromyography using the SMART-D 140® system (BTS Engineering) and the FREEEMG® system (BTS Engineering), the Quality of Upper Extremity Skills Test, to assess functional mobility, the Portable Device and Ashworth Scale, to measure movement resistance and spasticity, and the Pediatric Evaluation of Disability Inventory, to evaluate performance. Functional reach training of the paretic upper limb will include a range of manual activities using educational toys associated with an induced constraint of the non-paretic limb during the training. Training will be performed in five weekly 20-minute sessions for two weeks. Transcranial stimulation over the primary motor cortex will be performed during the training sessions at an intensity of 1 mA. Findings will be analyzed statistically considering a 5 % significance level (P ≤ 0.05). This paper presents a detailed description of a prospective, randomized, controlled, double-blind, clinical trial designed to demonstrate the effects of combining transcranial direct current stimulation over the primary motor cortex and functional training of the paretic limb in children with cerebral palsy classified at level I, II, or III of the Manual Ability Classification System. The results will be published and evidence found may contribute to the use of transcranial stimulation for this population. ReBEC RBR-6V4Y3K . Registered on 11 February 2015.
Foundation Level Training. Trainer's Manual.

ERIC Educational Resources Information Center

Oklahoma State Dept. of Human Services, Oklahoma City. Developmental Disabilities Services Div.

This trainer's manual was developed to provide a consistent knowledge and skill base (i.e., a "foundation") for all individuals employed in programs funded by Oklahoma's Developmental Disabilities Services Division. They include van drivers, recreation workers, residential staff, administrators, case managers, secretarial/clerical staff,…
Intranets: virtual procedure manuals for the pathology lab.

PubMed

Ruby, S G; Krempel, G

1998-08-01

A novel system exists for replacing standard written operation manuals using a computerized PC-based peer-to-peer network. The system design is based on commonly available hardware and software and utilizes existing equipment to minimize implementation expense. The system is relatively easy to implement and maintain, involves minimal training, and should quickly become a financial asset. In addition, such a system can improve access to laboratory procedure manuals so that resources can be better used on a daily basis.
Machine-Learning Algorithms to Code Public Health Spending Accounts

PubMed Central

Leider, Jonathon P.; Resnick, Beth A.; Alfonso, Y. Natalia; Bishai, David

2017-01-01

Objectives: Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with manual classification of public health expenditures to determine if machines could provide a faster, cheaper alternative to manual classification. Methods: We used machine-learning algorithms to replicate the process of manually classifying state public health expenditures, using the standardized public health spending categories from the Foundational Public Health Services model and a large data set from the US Census Bureau. We obtained a data set of 1.9 million individual expenditure items from 2000 to 2013. We collapsed these data into 147 280 summary expenditure records, and we followed a standardized method of manually classifying each expenditure record as public health, maybe public health, or not public health. We then trained 9 machine-learning algorithms to replicate the manual process. We calculated recall, precision, and coverage rates to measure the performance of individual and ensembled algorithms. Results: Compared with manual classification, the machine-learning random forests algorithm produced 84% recall and 91% precision. With algorithm ensembling, we achieved our target criterion of 90% recall by using a consensus ensemble of ≥6 algorithms while still retaining 93% coverage, leaving only 7% of the summary expenditure records unclassified. Conclusions: Machine learning can be a time- and cost-saving tool for estimating public health spending in the United States. It can be used with standardized public health spending categories based on the Foundational Public Health Services model to help parse public health expenditure information from other types of health-related spending, provide data that are more comparable across public health organizations, and evaluate the impact of evidence-based public health resource allocation. PMID:28363034
Machine-Learning Algorithms to Code Public Health Spending Accounts.

PubMed

Brady, Eoghan S; Leider, Jonathon P; Resnick, Beth A; Alfonso, Y Natalia; Bishai, David

Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with manual classification of public health expenditures to determine if machines could provide a faster, cheaper alternative to manual classification. We used machine-learning algorithms to replicate the process of manually classifying state public health expenditures, using the standardized public health spending categories from the Foundational Public Health Services model and a large data set from the US Census Bureau. We obtained a data set of 1.9 million individual expenditure items from 2000 to 2013. We collapsed these data into 147 280 summary expenditure records, and we followed a standardized method of manually classifying each expenditure record as public health, maybe public health, or not public health. We then trained 9 machine-learning algorithms to replicate the manual process. We calculated recall, precision, and coverage rates to measure the performance of individual and ensembled algorithms. Compared with manual classification, the machine-learning random forests algorithm produced 84% recall and 91% precision. With algorithm ensembling, we achieved our target criterion of 90% recall by using a consensus ensemble of ≥6 algorithms while still retaining 93% coverage, leaving only 7% of the summary expenditure records unclassified. Machine learning can be a time- and cost-saving tool for estimating public health spending in the United States. It can be used with standardized public health spending categories based on the Foundational Public Health Services model to help parse public health expenditure information from other types of health-related spending, provide data that are more comparable across public health organizations, and evaluate the impact of evidence-based public health resource allocation.
Feasibility, Safety, and Preliminary Effectiveness of a Home-Based Self-Managed High-Intensity Interval Training Program Offered to Long-Term Manual Wheelchair Users.

PubMed

Gauthier, Cindy; Brosseau, Rachel; Hicks, Audrey L; Gagnon, Dany H

2018-01-01

To investigate and compare the feasibility, safety, and preliminary effectiveness of home-based self-managed manual wheelchair high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) programs. Eleven manual wheelchair users were randomly assigned to the HIIT ( n = 6) or the MICT group ( n = 5). Both six-week programs consisted of three 40-minute propulsion training sessions per week. The HIIT group alternated between 30 s high-intensity intervals and 60 s low-intensity intervals, whereas the MICT group maintained a constant moderate intensity. Cardiorespiratory fitness, upper limb strength, and shoulder pain were measured before and after the programs. Participants completed a questionnaire on the programs that explored general areas of feasibility. The answers to the questionnaire demonstrated that both training programs were feasible in the community. No severe adverse events occurred, although some participants experienced increased shoulder pain during HIIT. Neither program yielded a significant change in cardiorespiratory fitness or upper limb strength. However, both groups reported moderate to significant subjective improvement. Home-based wheelchair HIIT appears feasible and safe although potential development of shoulder pain remains a concern and should be addressed with a future preventive shoulder exercise program. Some recommendations have been proposed for a larger study aiming to strengthen evidence regarding the feasibility, safety, and effectiveness of HIIT.
Support for Astronaut's View of Mexican/ Central American Fires and on-Line Earth Observations Training Manual

NASA Technical Reports Server (NTRS)

Kaminski, Charles F., Jr.

1999-01-01

A small project to compile remote sensing and in-site data to review the processes leading to the May 1998 Mexican/Central American fires was undertaken. A web page based on this project was assembled. The second project initiated involved an interactive and on-line program that will replace the paper version of the Earth Observations Preflight Training Manual. Technical support was provided to Prof. Marvin Glasser as needed.
Community Development: An Intensive Training Manual. Training for Agency Field Personnel.

ERIC Educational Resources Information Center

Gessaman, Paul H.

Intended for agency field personnel who assist in local community development (CD) efforts, this publication is the second of three making up an intensive training manual for community development. Using an inservice training approach, this part of the manual contains four instructional units: rationale for CD training, what CD is (CD as process,…
Principles of Training in Marine Corps Task Analysis. Training Manual 1

DTIC Science & Technology

1975-12-01

Training Research Programs Psychological Sciences Division Office of Naval Research Contract No. N00014-74-A-0436-0001 NR 151-370 Approved for...and Training Research Programs Psychological Sciences Division Office of Naval Research Contract No. N00014-74-A-0436-0001 NR 151-370 Approved... psychological reward; the trainee loses the connection between performance and the pat on the back that is its consequence. DIMENSIONS OF THE TRAINING
Citizenship Rights Training Manual.

ERIC Educational Resources Information Center

Oklahoma State Dept. of Human Services, Oklahoma City. Developmental Disabilities Services Div.

The goal of this training manual is to encourage citizenship training for individuals with developmental disabilities when such training is indicated. It is intended to be used by interdisciplinary teams and trainers throughout the service delivery system. The manual begins by outlining a philosophy of service delivery, listing some of the basic…
Research into the interaction between high performance and cognitive skills in an intelligent tutoring system

NASA Technical Reports Server (NTRS)

Fink, Pamela K.

1991-01-01

Two intelligent tutoring systems were developed. These tutoring systems are being used to study the effectiveness of intelligent tutoring systems in training high performance tasks and the interrelationship of high performance and cognitive tasks. The two tutoring systems, referred to as the Console Operations Tutors, were built using the same basic approach to the design of an intelligent tutoring system. This design approach allowed researchers to more rapidly implement the cognitively based tutor, the OMS Leak Detect Tutor, by using the foundation of code generated in the development of the high performance based tutor, the Manual Select Keyboard (MSK). It is believed that the approach can be further generalized to develop a generic intelligent tutoring system implementation tool.
Manual therapy as an effective treatment for fibrosis in a rat model of upper extremity overuse injury

PubMed Central

Bove, Geoffrey M.; Harris, Michele Y; Zhao, Huaqing; Barbe, Mary F.

2016-01-01

Key clinical features of carpal tunnel syndrome and other types of cumulative trauma disorders of the hand and wrist include pain and functional disabilities. Mechanistic details remain under investigation but may involve tissue inflammation and/or fibrosis. We examined the effectiveness of modeled manual therapy (MMT) as a treatment for sensorimotor behavior declines and increased fibrogenic processes occurring in forearm tissues of rats performing an high repetition high force (HRHF) reaching and grasping task for 12 weeks. Young adult, female rats were examined: food restricted control rats (FRC, n=12); rats that were trained for 6 weeks before performing the HRHF task for 12 weeks with no treatment (HRHF-CON, n=11); and HRHF task rats received modeled manual therapy (HRHF-MMT, n=5) for 5 days/week for the duration of the 12-week of task. Rats receiving the MMT expressed fewer discomfort-related behaviors, and performed progressively better in the HRHF task. Grip strength, while decreased after training, improved following MMT. Fibrotic nerve and connective tissue changes (increased collagen and TGF-β1 deposition) present in 12-week HRHF-CON rats were significantly decreased in 12-week HRHF-MMT rats. These observations support the investigation of manual therapy as a preventative for repetitive motion disorders. PMID:26810536
Violence Prevention Initiative Training Manual.

ERIC Educational Resources Information Center

Cutrona, Cheryl; Coleman-White, DeVonne

This manual accompanies a workshop for juvenile justice workers (probation officers, social workers, contract providers, and community-based detention providers) that is designed to help them understand conflict and the cycle of violence, manage anger and conflict, use affirmation to reinforce positive behavior, promote skills for success, support…
NetMOD version 1.0 user's manual

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

Merchant, Bion John

2014-01-01

NetMOD (Network Monitoring for Optimal Detection) is a Java-based software package for conducting simulation of seismic networks. Specifically, NetMOD simulates the detection capabilities of seismic monitoring networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed atmore » each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This manual describes how to configure and operate NetMOD to perform seismic detection simulations. In addition, NetMOD is distributed with a simulation dataset for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) International Monitoring System (IMS) seismic network for the purpose of demonstrating NetMOD's capabilities and providing user training. The tutorial sections of this manual use this dataset when describing how to perform the steps involved when running a simulation.« less
Training a whole-book LSTM-based recognizer with an optimal training set

NASA Astrophysics Data System (ADS)

Soheili, Mohammad Reza; Yousefi, Mohammad Reza; Kabir, Ehsanollah; Stricker, Didier

2018-04-01

Despite the recent progress in OCR technologies, whole-book recognition, is still a challenging task, in particular in case of old and historical books, that the unknown font faces or low quality of paper and print contributes to the challenge. Therefore, pre-trained recognizers and generic methods do not usually perform up to required standards, and usually the performance degrades for larger scale recognition tasks, such as of a book. Such reportedly low error-rate methods turn out to require a great deal of manual correction. Generally, such methodologies do not make effective use of concepts such redundancy in whole-book recognition. In this work, we propose to train Long Short Term Memory (LSTM) networks on a minimal training set obtained from the book to be recognized. We show that clustering all the sub-words in the book, and using the sub-word cluster centers as the training set for the LSTM network, we can train models that outperform any identical network that is trained with randomly selected pages of the book. In our experiments, we also show that although the sub-word cluster centers are equivalent to about 8 pages of text for a 101- page book, a LSTM network trained on such a set performs competitively compared to an identical network that is trained on a set of 60 randomly selected pages of the book.
DMS message design workshops.

DOT National Transportation Integrated Search

2009-03-01

This report summarizes the training conducted statewide regarding the design and display of messages on : dynamic message signs. The training is based on the Dynamic Message Sign Message Design and Display : Manual (0-4023-P3). Researchers developed ...
Trainer variability during step training after spinal cord injury: Implications for robotic gait-training device design.

PubMed

Galvez, Jose A; Budovitch, Amy; Harkema, Susan J; Reinkensmeyer, David J

2011-01-01

Robotic devices are being developed to automate repetitive aspects of walking retraining after neurological injuries, in part because they might improve the consistency and quality of training. However, it is unclear how inconsistent manual training actually is or whether stepping quality depends strongly on the trainers' manual skill. The objective of this study was to quantify trainer variability of manual skill during step training using body-weight support on a treadmill and assess factors of trainer skill. We attached a sensorized orthosis to one leg of each patient with spinal cord injury and measured the shank kinematics and forces exerted by different trainers during six training sessions. An expert trainer rated the trainers' skill level based on videotape recordings. Between-trainer force variability was substantial, about two times greater than within-trainer variability. Trainer skill rating correlated strongly with two gait features: better knee extension during stance and fewer episodes of toe dragging. Better knee extension correlated directly with larger knee horizontal assistance force, but better toe clearance did not correlate with larger ankle push-up force; rather, it correlated with better knee and hip extension. These results are useful to inform robotic gait-training design.
An evaluation of generalization of mands during functional communication training.

PubMed

Falcomata, Terry S; Wacker, David P; Ringdahl, Joel E; Vinquist, Kelly; Dutt, Anuradha

2013-01-01

The primary purpose of this study was to evaluate the generalization of mands during functional communication training (FCT) and sign language training across functional contexts (i.e., positive reinforcement, negative reinforcement). A secondary purpose was to evaluate a training procedure based on stimulus control to teach manual signs. During the treatment evaluation, we implemented sign language training in 1 functional context (e.g., positive reinforcement by attention) while continuing the functional analysis conditions in 2 other contexts (e.g., positive reinforcement by tangible item; negative reinforcement by escape). During the generalization evaluation, we tested for the generalization of trained mands across functional contexts (i.e., positive reinforcement; negative reinforcement) by implementing extinction in the 2 nontarget contexts. The results suggested that the stimulus control training procedure effectively taught manual signs and treated destructive behavior. Specific patterns of generalization of trained mands and destructive behavior also were observed. © Society for the Experimental Analysis of Behavior.
Head Start Social Services Training Manual for Coordinators and Staff.

ERIC Educational Resources Information Center

Administration for Children, Youth, and Families (DHHS), Washington, DC. Head Start Bureau.

This training manual is designed for use by local Head Start programs in training current and new entry-level staff to deliver comprehensive social services to Head Start families. The introductory section of the manual provides an overview of Head Start, describes its social service component, and explains the organization of the manual. The…
Repurposing Existing Material for Performance Support.

ERIC Educational Resources Information Center

Harvey, Francis A.; Nelson, Adam

1995-01-01

Presents an overview of performance support systems (PSS), describes their role in promoting productivity in agile organizations, and discusses issues related to developing effective performance support using existing orientation, training, or procedural manuals. Topics include strategic principles of agility, and adding value when incorporating…

Job Language Performance Requirements for MOS 52D, Power Generation Equipment Repairer, Reference Soldier’s Manual Dated 10 April 1979.

DTIC Science & Technology

1979-04-10

REFERENCE SOLDIER’S MANUAL DATED 10 April 1979 &N avaiabl, to DTIC dom not ,sMfuf legible epoducdm DTIC ELECTIE " " [ " "mm’ L m 82 11 01 .~ ~~~&~ I...from the Soldier’s Manual . .. iii ( Appendix seven contains the machine-generated vocabulary for :*.’s S $ prepared by the United States Army Training...structures in the Soldier’s Manual for this MOS. The Observation Form (Appendix 4) was used to record actual observations of the learning situations
Environmental Compliance and Pollution Prevention Training Manual for Campus-Based Organizations--Operational and Facility Maintenance Personnel.

ERIC Educational Resources Information Center

New York State Dept. of Environmental Conservation, Albany.

This manual was designed to be used as part of the Workshop on Environmental Compliance and Pollution Prevention for campus-based facilities. It contains basic information on New York state and federal laws, rules, and regulations for protecting the environment. The information presented is a summary with emphasis on those items believed to be…
Machine learning with naturally labeled data for identifying abbreviation definitions.

PubMed

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

2011-06-09

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

PubMed

Park, Myoung-Ok

2017-02-01

[Purpose] The purpose of this study was to determine effects of Gross Motor Function Classification System and Manual Ability Classification System levels on performance-based motor skills of children with spastic cerebral palsy. [Subjects and Methods] Twenty-three children with cerebral palsy were included. The Assessment of Motor and Process Skills was used to evaluate performance-based motor skills in daily life. Gross motor function was assessed using Gross Motor Function Classification Systems, and manual function was measured using the Manual Ability Classification System. [Results] Motor skills in daily activities were significantly different on Gross Motor Function Classification System level and Manual Ability Classification System level. According to the results of multiple regression analysis, children categorized as Gross Motor Function Classification System level III scored lower in terms of performance based motor skills than Gross Motor Function Classification System level I children. Also, when analyzed with respect to Manual Ability Classification System level, level II was lower than level I, and level III was lower than level II in terms of performance based motor skills. [Conclusion] The results of this study indicate that performance-based motor skills differ among children categorized based on Gross Motor Function Classification System and Manual Ability Classification System levels of cerebral palsy.
Application of Machine Learning in Urban Greenery Land Cover Extraction

NASA Astrophysics Data System (ADS)

Qiao, X.; Li, L. L.; Li, D.; Gan, Y. L.; Hou, A. Y.

2018-04-01

Urban greenery is a critical part of the modern city and the greenery coverage information is essential for land resource management, environmental monitoring and urban planning. It is a challenging work to extract the urban greenery information from remote sensing image as the trees and grassland are mixed with city built-ups. In this paper, we propose a new automatic pixel-based greenery extraction method using multispectral remote sensing images. The method includes three main steps. First, a small part of the images is manually interpreted to provide prior knowledge. Secondly, a five-layer neural network is trained and optimised with the manual extraction results, which are divided to serve as training samples, verification samples and testing samples. Lastly, the well-trained neural network will be applied to the unlabelled data to perform the greenery extraction. The GF-2 and GJ-1 high resolution multispectral remote sensing images were used to extract greenery coverage information in the built-up areas of city X. It shows a favourable performance in the 619 square kilometers areas. Also, when comparing with the traditional NDVI method, the proposed method gives a more accurate delineation of the greenery region. Due to the advantage of low computational load and high accuracy, it has a great potential for large area greenery auto extraction, which saves a lot of manpower and resources.
THE INFLUENCE OF MATCHING AND MOTOR-IMITATION ABILITIES ON RAPID ACQUISITION OF MANUAL SIGNS AND EXCHANGE-BASED COMMUNICATIVE RESPONSES

PubMed Central

Gregory, Meagan K; DeLeon, Iser G; Richman, David M

2009-01-01

Establishing a relation between existing skills and acquisition of communicative responses may be useful in guiding selection of alternative communication systems. Matching and motor-imitation skills were assessed for 6 children with developmental disabilities, followed by training to request the same set of preferred items using exchange-based communication and manual signs. Three participants displayed both skills and rapidly acquired both communicative response forms. Three others displayed neither skill; 1 mastered exchange-based responses but not manual signs, and neither of the other 2 easily acquired either response form. PMID:19949531
Cuerpo de Paz Manual de Sistema de Programacion y Capacitacion (Peace Corps Programming and Training System Manual): T0063.

ERIC Educational Resources Information Center

Peace Corps, Washington, DC.

This Spanish version of the Peace Corps Programming and Training System Manual is designed to help field staff members of the Peace Corps train volunteers. Its task descriptions, guidelines, examples, and definitions are intended to be practical and informative rather than restrictive. The manual is divided into six major sections: (1)…
Resolving Conflicts: Getting along with Co-Workers. JobLink Winning at Work Instructor's Manual, Module 8.

ERIC Educational Resources Information Center

Coast Community Coll. District, Costa Mesa, CA.

This manual is a guide to an interactive training program designed to address key skills necessary in today's high performance workplace. The module is intended to meet the learning needs of production workers who may have limited basic skills or literacy. This module, which addresses conflict resolution, focuses on helping employees understand…
Input-output mapping reconstruction of spike trains at dorsal horn evoked by manual acupuncture

NASA Astrophysics Data System (ADS)

Wei, Xile; Shi, Dingtian; Yu, Haitao; Deng, Bin; Lu, Meili; Han, Chunxiao; Wang, Jiang

2016-12-01

In this study, a generalized linear model (GLM) is used to reconstruct mapping from acupuncture stimulation to spike trains driven by action potential data. The electrical signals are recorded in spinal dorsal horn after manual acupuncture (MA) manipulations with different frequencies being taken at the “Zusanli” point of experiment rats. Maximum-likelihood method is adopted to estimate the parameters of GLM and the quantified value of assumed model input. Through validating the accuracy of firings generated from the established GLM, it is found that the input-output mapping of spike trains evoked by acupuncture can be successfully reconstructed for different frequencies. Furthermore, via comparing the performance of several GLMs based on distinct inputs, it suggests that input with the form of half-sine with noise can well describe the generator potential induced by acupuncture mechanical action. Particularly, the comparison of reproducing the experiment spikes for five selected inputs is in accordance with the phenomenon found in Hudgkin-Huxley (H-H) model simulation, which indicates the mapping from half-sine with noise input to experiment spikes meets the real encoding scheme to some extent. These studies provide us a new insight into coding processes and information transfer of acupuncture.
Skylab Saturn 1B flight manual

NASA Technical Reports Server (NTRS)

1972-01-01

A Saturn 1B Flight Manual provides launch vehicle systems descriptions and predicted performance data for the Skylab missions. Vehicle SL-2 (SA-206) is the baseline for this manual; but, as a result of the great similarity, the material is representative of SL-3 and SL-4 launch vehicles, also. The Flight Manual is not a control document but is intended primarily as an aid to astronauts who are training for Skylab missions. In order to provide a comprehensive reference for that purpose, the manual also contains descriptions of the ground support interfaces, prelaunch operations, and emergency procedures. Mission variables and constraints are summarized, and mission control monitoring and data flow during launch preparation and flight are discussed.
Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation

NASA Astrophysics Data System (ADS)

Ibragimov, Bulat; Likar, Boštjan; Pernuš, Franjo; Vrtovec, Tomaž

2015-03-01

During the last couple of decades, the development of computerized image segmentation shifted from unsupervised to supervised methods, which made segmentation results more accurate and robust. However, the main disadvantage of supervised segmentation is a need for manual image annotation that is time-consuming and subjected to human error. To reduce the need for manual annotation, we propose a novel learning approach for training dataset reinforcement in the area of landmark-based segmentation, where newly detected landmarks are optimally combined with reference landmarks from the training dataset and therefore enriches the training process. The approach is formulated as a nonlinear optimization problem, where the solution is a vector of weighting factors that measures how reliable are the detected landmarks. The detected landmarks that are found to be more reliable are included into the training procedure with higher weighting factors, whereas the detected landmarks that are found to be less reliable are included with lower weighting factors. The approach is integrated into the landmark-based game-theoretic segmentation framework and validated against the problem of lung field segmentation from chest radiographs.
Automobile Mechanic Second Year: Service and Repair. Student's Guide.

ERIC Educational Resources Information Center

Notgrass, Troy

This student manual on auto service and repair is intended for second-year students in industrial cooperative training who have studied "Automobile Mechanic Fundamentals" during the first year. Based on "Auto Service and Repair," by Martin W. Stockel, this manual is designed for individualized instruction under supervision of a…
Southern Ductile Training Manual.

ERIC Educational Resources Information Center

Alabama State Dept. of Education, Montgomery.

This instructor's manual contains the materials required to conduct the competency-based workplace literacy program that was developed to help employees at a foundry that has evolved from a small, family-owned business into a major foundry group with several automated production systems. The workplace literacy program consists of 24 lessons in…
Technical Health Training Manual. Volume 1. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-35a.

ERIC Educational Resources Information Center

Clark, Mari; And Others

This manual is designed as a resource for trainers who provide preservice training, either in-country or state-side, to health specialists and generalists assigned to health projects at the community and clinical levels. The training is intended to assist the volunteer in developing knowledge and skill in the areas of primary health care and the…
Technical Health Training Manual. Volume 2. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-35a.

ERIC Educational Resources Information Center

Clark, Mari; And Others

This manual is designed as a resource for trainers who provide preservice training, either in-country or state-side, to health specialists and generalists assigned to health projects at the community and clinical levels. The training is intended to assist the volunteer in developing knowledge and skill in the areas of primary health care and the…
Forestry Training Manual for Africa Region U.S. Peace Corps. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-14.

ERIC Educational Resources Information Center

Mahaffey, George; And Others

This manual is a state-side forestry teaching guide, complete with exercises, for the training of prospective Peace Corps volunteers who will serve in various African countries. The modular format lends itself to both single-country and multicountry forestry training. The first part of the guide contains instructions to the trainer on conducting…
Training effectiveness of an intelligent tutoring system for a propulsion console trainer

NASA Technical Reports Server (NTRS)

Johnson, Debra Steele

1990-01-01

A formative evaluation was conducted on an Intelligent Tutoring System (ITS) developed for tasks performed on the Propulsion Console. The ITS, which was developed primarily as a research tool, provides training on use of the Manual Select Keyboard (MSK). Three subjects completed three phases of training using the ITS: declarative, speed, and automaticity training. Data were collected on several performance dimensions, including training time, number of trials performed in each training phase, and number of errors. Information was also collected regarding the user interface and content of training. Suggestions for refining the ITS are discussed. Further, future potential uses and limitations of the ITS are discussed. The results provide an initial demonstration of the effectiveness of the Propulsion Console ITS and indicate the potential benefits of this form of training tool for related tasks.
Contour-Driven Atlas-Based Segmentation

PubMed Central

Wachinger, Christian; Fritscher, Karl; Sharp, Greg; Golland, Polina

2016-01-01

We propose new methods for automatic segmentation of images based on an atlas of manually labeled scans and contours in the image. First, we introduce a Bayesian framework for creating initial label maps from manually annotated training images. Within this framework, we model various registration- and patch-based segmentation techniques by changing the deformation field prior. Second, we perform contour-driven regression on the created label maps to refine the segmentation. Image contours and image parcellations give rise to non-stationary kernel functions that model the relationship between image locations. Setting the kernel to the covariance function in a Gaussian process establishes a distribution over label maps supported by image structures. Maximum a posteriori estimation of the distribution over label maps conditioned on the outcome of the atlas-based segmentation yields the refined segmentation. We evaluate the segmentation in two clinical applications: the segmentation of parotid glands in head and neck CT scans and the segmentation of the left atrium in cardiac MR angiography images. PMID:26068202
Manual on Cost-Effectiveness of Training Modalities in Population Education. Population Education Programme Service Series.

ERIC Educational Resources Information Center

United Nations Educational, Scientific and Cultural Organization, Bangkok (Thailand). Principal Regional Office for Asia and the Pacific.

This manual is the result of a regional training workshop on the cost-effectiveness of different training strategies in population education by Unesco in Kathmandu, Nepal, June 1-8, 1987. The purpose of the manual is to enable project staff to initiate studies to determine cost-effective training strategies in population growth control education.…
Small Enterprise Development In-Service Training Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-43.

ERIC Educational Resources Information Center

Pragma Corp., Falls Church, VA.

This manual is intended to assist Peace Corps trainers in providing inservice technical training in small enterprise development. The following topics are covered: expectations and sharing of resources, problem analysis as a part of project identification, procedures in setting goals and objectives, steps in identifying project resources, the…

The Brockport Physical Fitness Test Training Manual. [Project Target].

ERIC Educational Resources Information Center

Winnick, Joseph P.; Short, Francis X., Ed.

This training manual presents information on the Brockport Physical Fitness Test (BPFT), a criterion-referenced fitness test for children and adolescents with disabilities. The first chapter of the test training manual includes information dealing with health-related criterion-referenced testing, the interaction between physical activity and…
Technology-Based Training in Cognitive Behavioral Therapy for Substance Abuse Counselors

ERIC Educational Resources Information Center

Weingardt, Kenneth R.; Villafranca, Steven W.; Levin, Cindy

2006-01-01

This study compared the learning outcomes achieved by 166 practicing substance abuse counselors who were randomized to one of three conditions: (1) a Web-Based Training (WBT) module designed to familiarize practitioners with the "Coping with Craving" module from the NIDA treatment manual, "A Cognitive-Behavioral Approach: Treating Cocaine…
Expert Opinion on Elements Required to Develop a Base Support Plan Training Guide

DTIC Science & Technology

1989-09-01

Business: An Operating Manual. New York NY: American Management Association Inc. 1976. 18. Lippert , Fred G. "Six (?) Steps to Good Training, Supervision...46: 17--18 (June 1984). 19. Military Airlift Command. Base Reception Planning. MACR 28-6, Vol I. Scott AFB IL. 28 Octoner 1986. 20. Miller, Ernest C
Evaluation of a self-instructional manual for conducting discrete-trials teaching with children with autism.

PubMed

Thiessen, Carly; Fazzio, Daniela; Arnal, Lindsay; Martin, Garry L; Yu, C T; Keilback, Lukas

2009-05-01

Discrete-trials teaching (DTT) is commonly used to implement applied behavior analysis treatment for children with autism. The authors investigated a revised self-instructional manual for teaching university students to implement a 21-component DTT procedure to teach three tasks to confederates role-playing children with autism. Also, as a motivational contingency, for each DTT session in which a student scored at or above 90% accuracy, they received US$10. After an average of 4.5 hr to master the training manual, students' average DTT performance improved from 52% in baseline to 88% while teaching a confederate. Students averaged 77% DTT performance during subsequent generalization sessions with a child with autism.
We Don't Train in Vain: A Dissemination Trial of Three Strategies of Training Clinicians in Cognitive-Behavioral Therapy

ERIC Educational Resources Information Center

Sholomskas, Diane E.; Syracuse-Siewert, Gia; Rounsaville, Bruce J.; Ball, Samuel A.; Nuro, Kathryn F.; Carroll, Kathleen M.

2005-01-01

There has been little research on the effectiveness of different training strategies or the impact of exposure to treatment manuals alone on clinicians' ability to effectively implement empirically supported therapies. Seventy-eight community-based clinicians were assigned to 1 of 3 training conditions: review of a cognitive-behavioral therapy…
Validating the Use of Deep Learning Neural Networks for Correction of Large Hydrometric Datasets

NASA Astrophysics Data System (ADS)

Frazier, N.; Ogden, F. L.; Regina, J. A.; Cheng, Y.

2017-12-01

Collection and validation of Earth systems data can be time consuming and labor intensive. In particular, high resolution hydrometric data, including rainfall and streamflow measurements, are difficult to obtain due to a multitude of complicating factors. Measurement equipment is subject to clogs, environmental disturbances, and sensor drift. Manual intervention is typically required to identify, correct, and validate these data. Weirs can become clogged and the pressure transducer may float or drift over time. We typically employ a graphical tool called Time Series Editor to manually remove clogs and sensor drift from the data. However, this process is highly subjective and requires hydrological expertise. Two different people may produce two different data sets. To use this data for scientific discovery and model validation, a more consistent method is needed to processes this field data. Deep learning neural networks have proved to be excellent mechanisms for recognizing patterns in data. We explore the use of Recurrent Neural Networks (RNN) to capture the patterns in the data over time using various gating mechanisms (LSTM and GRU), network architectures, and hyper-parameters to build an automated data correction model. We also explore the required amount of manually corrected training data required to train the network for reasonable accuracy. The benefits of this approach are that the time to process a data set is significantly reduced, and the results are 100% reproducible after training is complete. Additionally, we train the RNN and calibrate a physically-based hydrological model against the same portion of data. Both the RNN and the model are applied to the remaining data using a split-sample methodology. Performance of the machine learning is evaluated for plausibility by comparing with the output of the hydrological model, and this analysis identifies potential periods where additional investigation is warranted.
The American University Hotline: Manual for Trainers.

ERIC Educational Resources Information Center

Krieger, Howard; And Others

The philosophy, rationale, and specific training procedures of the American University Hotline are detailed in this trainer's manual. The manual provides a step-by-step discussion of training procedures implemented in a student-operated university hotline telephone service. The training package, widely disseminated over the past six years, has…
WE-EF-210-08: BEST IN PHYSICS (IMAGING): 3D Prostate Segmentation in Ultrasound Images Using Patch-Based Anatomical Feature

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

Yang, X; Rossi, P; Jani, A

Purpose: Transrectal ultrasound (TRUS) is the standard imaging modality for the image-guided prostate-cancer interventions (e.g., biopsy and brachytherapy) due to its versatility and real-time capability. Accurate segmentation of the prostate plays a key role in biopsy needle placement, treatment planning, and motion monitoring. As ultrasound images have a relatively low signal-to-noise ratio (SNR), automatic segmentation of the prostate is difficult. However, manual segmentation during biopsy or radiation therapy can be time consuming. We are developing an automated method to address this technical challenge. Methods: The proposed segmentation method consists of two major stages: the training stage and the segmentation stage.more » During the training stage, patch-based anatomical features are extracted from the registered training images with patient-specific information, because these training images have been mapped to the new patient’ images, and the more informative anatomical features are selected to train the kernel support vector machine (KSVM). During the segmentation stage, the selected anatomical features are extracted from newly acquired image as the input of the well-trained KSVM and the output of this trained KSVM is the segmented prostate of this patient. Results: This segmentation technique was validated with a clinical study of 10 patients. The accuracy of our approach was assessed using the manual segmentation. The mean volume Dice Overlap Coefficient was 89.7±2.3%, and the average surface distance was 1.52 ± 0.57 mm between our and manual segmentation, which indicate that the automatic segmentation method works well and could be used for 3D ultrasound-guided prostate intervention. Conclusion: We have developed a new prostate segmentation approach based on the optimal feature learning framework, demonstrated its clinical feasibility, and validated its accuracy with manual segmentation (gold standard). This segmentation technique could be a useful tool for image-guided interventions in prostate-cancer diagnosis and treatment. This research is supported in part by DOD PCRP Award W81XWH-13-1-0269, and National Cancer Institute (NCI) Grant CA114313.« less
Robotic surgery of locally advanced gastric cancer: a single-surgeon experience of 41 cases.

PubMed

Vasilescu, C; Procopiuc, L

2012-01-01

The mainstay of curative gastric cancer treatment is open gastric resection with regional lymph node dissection. Minimally invasive surgery is yet to become an established technique with a well defined role. Robotic surgery has by-passed some of the limitations of conventional laparoscopy and has proven both safe and feasible. We present our initial experience with robotic surgery based on 41 gastric cancer patients. We especially wish to underline the advantages of the robotic system when performing the digestive tract anastomoses. We present the techniques of end-to-side eso-jejunoanastomoses (using a circular stapler or manual suture) and side-to-side eso-jejunoanastomoses. In our hands, the results with circular stapled anastomoses were good and we advocate against manual suturing when performing anastomoses in robotic surgery. Moreover, we recommend performing totally intracorporeal anastomoses which have a better post-operative outcome, especially in obese patients. We present three methods of realising the total intracorporeal eso-jejuno-anastomosis with a circular stapler: manual purse-string suture, using the OrVil and the double stapling technique. The eso-jejunoanastomosis is one of the most difficult steps in performing the total gastrectomy, but these techniques allow the surgeon to choose the best option for each case. We consider that surgeons who undertake total gastrectomies must have a special training in performing these anastomoses.
Selection and training of watchstanders for Coast Guard vessel traffic services

DOT National Transportation Integrated Search

1981-01-01

Based on operational manuals as well as observations and interviews during several visits to operating Coast Guard Vessel Traffic Service (VTS) centers, some basic problems in the selection and training of VTS watchstanders are identified and evaluat...
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.
Facilitating LOS Debriefings: A Training Manual

NASA Technical Reports Server (NTRS)

McDonnell, Lori K.; Jobe, Kimberly K.; Dismukes, R. Key

1997-01-01

This manual is a practical guide to help airline instructors effectively facilitate debriefings of Line Oriented Simulations (LOS). It is based on a recently completed study of Line Oriented Flight Training (LOFT) debriefings at several U.S. airlines. This manual presents specific facilitation tools instructors can use to achieve debriefing objectives. The approach of the manual is to be flexible so it can be tailored to the individual needs of each airline. Part One clarifies the purpose and objectives of facilitation in the LOS setting. Part Two provides recommendations for clarifying roles and expectations and presents a model for organizing discussion. Part Tree suggests techniques for eliciting active crew participation and in-depth analysis and evaluation. Finally, in Part Four, these techniques are organized according to the facilitation model. Examples of how to effectively use the techniques are provided throughout, including strategies to try when the debriefing objectives are not being fully achieved.
Training of Trainers: Trainer Manual.

ERIC Educational Resources Information Center

University Research Corp., Bethesda, MD.

This manual is designed to train individuals to deliver courses developed within the National Training System of the National Institute on Drug Abuse (NIDA). The training guide, describes the content and activities that constitute training delivery, identifies behaviors and skills associated with training delivery, elaborates on program design and…
Conversion of paper-based technical manuals to interactive electronic technical manuals

NASA Astrophysics Data System (ADS)

Kuo, Mu-Hsing

1999-12-01

An IETM is intended to be the functional equivalent of a paper-based Technical Manual (TM), and in most cases a total replacement for paper manual. In this paper, we will describe some of document image understanding technologies applied to the conversion of paper-based TMs to IETMs. Using these advanced technologies allow us to convert paper-based TMs to class 1/2 IETMs. However, these were not sufficient for an automated integrated logistics support system in the ROC Department of Defense. An advanced IETM system is therefore required. Such class 4/5 like IETM system could provide intelligent display of information and other user applications such as diagnostics, intelligent design and manufacturing, or computer-managed training. The author has developed some of the advanced functions, and examples will be shown to demonstrate the new aspect of IETMs.
Research Assistant Training Manual: Focus Groups

ERIC Educational Resources Information Center

Eaton, Sarah Elaine

2017-01-01

This manual is a practical training guide for graduate and undergraduate research assistants (RAs) working in the Werklund School of Education, University of Calgary. It may also be applicable to research assistants working in other fields or institutions. The purpose of this manual is to train RAs on how to plan and conduct focus groups for…
Improved Cookstove Training Manual. No. T-40.

ERIC Educational Resources Information Center

Lillywhite, Malcolm

This document was developed as a training manual for people interested in various types of appropriate technologies related to improved cookstoves. The three types of cookstoves included in the manual are earthen, ceramic, and metal (or a combination of metal and ceramic). The training sessions described deal with: (1) an orientation to the…
46 CFR 160.115-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 6 2014-10-01 2014-10-01 false Operating instructions and information for the ship's... Launching Appliances-Winches § 160.115-19 Operating instructions and information for the ship's training manual. (a) Each winch must have instructions and information for the ship's training manual that use the...
46 CFR 160.135-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 46 Shipping 6 2013-10-01 2013-10-01 false Operating instructions and information for the ship's... Lifeboats (SOLAS) § 160.135-19 Operating instructions and information for the ship's training manual. (a) Each lifeboat must have instructions and information for the ship's training manual that use the...
46 CFR 160.132-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 46 Shipping 6 2013-10-01 2013-10-01 false Operating instructions and information for the ship's... Launching Appliances-Davits § 160.132-19 Operating instructions and information for the ship's training manual. (a) Each davit must have instructions and information for the ship's training manual that use the...
46 CFR 160.135-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 46 Shipping 6 2012-10-01 2012-10-01 false Operating instructions and information for the ship's... Lifeboats (SOLAS) § 160.135-19 Operating instructions and information for the ship's training manual. (a) Each lifeboat must have instructions and information for the ship's training manual that use the...

46 CFR 160.135-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 6 2014-10-01 2014-10-01 false Operating instructions and information for the ship's... Lifeboats § 160.135-19 Operating instructions and information for the ship's training manual. (a) Each lifeboat must have instructions and information for the ship's training manual that use the symbols from...
46 CFR 160.132-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 46 Shipping 6 2012-10-01 2012-10-01 false Operating instructions and information for the ship's... Launching Appliances-Davits § 160.132-19 Operating instructions and information for the ship's training manual. (a) Each davit must have instructions and information for the ship's training manual that use the...
46 CFR 160.132-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 6 2014-10-01 2014-10-01 false Operating instructions and information for the ship's... Launching Appliances-Davits § 160.132-19 Operating instructions and information for the ship's training manual. (a) Each davit must have instructions and information for the ship's training manual that use the...
46 CFR 160.115-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 46 Shipping 6 2012-10-01 2012-10-01 false Operating instructions and information for the ship's... Launching Appliances-Winches § 160.115-19 Operating instructions and information for the ship's training manual. (a) Each winch must have instructions and information for the ship's training manual that use the...
46 CFR 160.115-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 46 Shipping 6 2013-10-01 2013-10-01 false Operating instructions and information for the ship's... Launching Appliances-Winches § 160.115-19 Operating instructions and information for the ship's training manual. (a) Each winch must have instructions and information for the ship's training manual that use the...
46 CFR 160.156-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Boats and Fast Rescue Boats (SOLAS) § 160.156-19 Operating instructions and information for the ship's training manual. (a) Each rescue boat must have instructions and information for the ship's training manual... subpart) to describe the location and operation of the rescue boat. (b) The instructions and information...
A simple highly efficient non invasive EMG-based HMI.

PubMed

Vitiello, N; Olcese, U; Oddo, C M; Carpaneto, J; Micera, S; Carrozza, M C; Dario, P

2006-01-01

Muscle activity recorded non-invasively is sufficient to control a mobile robot if it is used in combination with an algorithm for its asynchronous analysis. In this paper, we show that several subjects successfully can control the movements of a robot in a structured environment made up of six rooms by contracting two different muscles using a simple algorithm. After a small training period, subjects were able to control the robot with performances comparable to those achieved manually controlling the robot.
Effects of a Home-Based Upper Limb Training Program in Patients With Multiple Sclerosis: A Randomized Controlled Trial.

PubMed

Ortiz-Rubio, Araceli; Cabrera-Martos, Irene; Rodríguez-Torres, Janet; Fajardo-Contreras, Waldo; Díaz-Pelegrina, Ana; Valenza, Marie Carmen

2016-12-01

To evaluate the effects of a home-based upper limb training program on arm function in patients with multiple sclerosis (MS). Additionally, the effects of this program on manual dexterity, handgrip strength, and finger prehension force were analyzed. Randomized, single-blind controlled trial. Home based. Patients with a clinical diagnosis of MS acknowledging impaired manual ability (N=37) were randomized into 2 groups. Patients in the experimental group were included in a supervised home-based upper limb training program for 8 weeks twice a week. Patients in the control group received information in the form of a leaflet with a schedule of upper limb exercise training. The primary outcome measure was arm function (motor functioning assessed using the finger tapping test and a functional measure, the Action Research Arm Test). The secondary outcome measures were manual dexterity assessed with the Purdue Pegboard Test and handgrip strength and finger prehension force evaluated with a handgrip and a pinch dynamometer, respectively. After 8 weeks, a significant between-group improvement (P<.05) was found on the Action Research Arm Test bilaterally and the finger tapping test in the most affected upper limb. The secondary outcomes also improved in the most affected limb in the experimental group. An 8-week home-based intervention program focused on upper limbs twice a week improved arm function and physiologic variables with a primary focus on the more affected extremity in patients with MS compared with the control group. Copyright Â© 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
A Pilot Study of Community-Friendly Manual Guided Drug Counseling

PubMed Central

Crits-Christoph, Paul; Gibbons, Mary Beth Connolly; Ring-Kurtz, Sarah; Gallop, Robert; Present, Julie

2009-01-01

To facilitate effectiveness testing and dissemination of treatments to community based setting, therapist training manuals that are more “community friendly” are needed. The aim of the current project was to create revised versions of individual drug counseling (IDC) and group drug counseling (GDC) treatment manuals for cocaine dependence and to conduct a preliminary study of their effectiveness. After changing the format and context of existing drug counseling manuals to have greater ease of use in the community, draft manuals were given to 23 community-based counselors for their feedback. Final versions were then used in a pilot randomized clinical trial involving 41 cocaine dependent patients who received 3 months of either IDC + GDC or GDC alone treatment. Counselors implemented the new treatment manuals with acceptable levels of adherence and competence. Outcome results indicated that substantial change in drug use was evident, but the amount of abstinence obtained was limited. PMID:19038525
A pilot study of community-friendly manual-guided drug counseling.

PubMed

Crits-Christoph, Paul; Gibbons, Mary Beth Connolly; Ring-Kurtz, Sarah; Gallop, Robert; Present, Julie

2009-07-01

Therapist training manuals that are more "community friendly" are needed to facilitate effectiveness testing and dissemination of treatments to community based setting. The aim of the current project was to create revised versions of individual drug counseling (IDC) and group drug counseling (GDC) treatment manuals for cocaine dependence and to conduct a preliminary study of their effectiveness. After changing the format and context of existing drug counseling manuals to have greater ease of use in the community, draft manuals were given to 23 community-based counselors for their feedback. Final versions were then used in a pilot randomized clinical trial involving 41 cocaine-dependent patients who received 3 months of either IDC + GDC or GDC-alone treatment. Counselors implemented the new treatment manuals with acceptable levels of adherence and competence. Outcome results indicated that substantial change in drug use was evident, but the amount of abstinence obtained was limited.
In-Home Respite Care Program Development. Background. Coordinator's Manual. Training Manual.

ERIC Educational Resources Information Center

Parham, J. D.; And Others

This volume consists of a background discussion, coordinator's manual, and training manual dealing with developing programs for the in-home respite care (IHRC) of the developmentally disabled. Addressed in the background information unit are the nature of developmental disabilities; program variables, planning, and funding; and practical…
Doorways II: Community Counselor Training Manual on School-Related Gender-Based Violence Prevention and Response

ERIC Educational Resources Information Center

US Agency for International Development, 2009

2009-01-01

The Doorways training program was designed by the U.S. Agency for International Development (USAID)-funded Safe Schools Program (Safe Schools) to enable teachers, community members and students to prevent and respond to school-related gender-based violence (SRGBV). Doorways II was designed for community counselors to prevent and respond to…
Effective Skills for Child-Care Workers: A Training Manual from Boys Town.

ERIC Educational Resources Information Center

Dowd, Tom; And Others

Boys Town, founded in 1917 by Father Edward Flanagan, attempts to respond to the challenges faced by today's children and youth with its own child care model, called the Boys Town Family Home Program. This model is based on family-style nurturing, behavioral-based instruction, and a "systems" approach to staff training and development.…
Doorways III: Teacher Training Manual on School-Related Gender-Based Violence Prevention and Response

ERIC Educational Resources Information Center

US Agency for International Development, 2009

2009-01-01

The Doorways training program was designed by the U.S. Agency for International Development (USAID)-funded Safe Schools Program (Safe Schools) to enable teachers, community members and students to prevent and respond to school-related gender-based violence (SRGBV). Teachers can play a central role in violence prevention, and they can also help…
AIS training manual

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

Kramer, C.F.; Barancik, J.I.

1989-05-01

This Training Manual was developed by the Injury Prevention and Analysis Group (IPAG) as part of a training program in AIS 85 and AIS-EM (Epidemiological Modifications) coding. The IPAG Program is designed primarily to train medical record and other health professionals from diverse backgrounds and experience levels in the use of AIS 85 and AIS 85-EM. The Manual is designed to be used as a reference text after completion of the Program and includes copies of visual projection materials used during the training sessions.
Small Scale Irrigation Systems: A Training Manual. Planning--Construction--Operation and Maintenance of Small Scale Irrigation Systems. A Two-Week In-Service Training Program for Peace Corps Volunteers. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-13.

ERIC Educational Resources Information Center

Development Planning and Research Associates, Inc., Manhattan, KS.

This manual provides materials for a two-week inservice training program for Peace Corps volunteers on the planning, construction, and operation and maintenance of small-scale irrigation systems. The workshop is designed to be given by two experienced professionals: one with practical knowledge of irrigation system design, operation, and…
Bridging the gap in complementary and alternative medicine research: manualization as a means of promoting standardization and flexibility of treatment in clinical trials of acupuncture.

PubMed

Schnyer, Rosa N; Allen, John J B

2002-10-01

An important methodological challenge encountered in acupuncture clinical research involves the design of treatment protocols that help ensure standardization and replicability while allowing for the necessary flexibility to tailor treatments to each individual. Manualization of protocols used in clinical trials of acupuncture and other traditionally-based complementary and alternative medicine (CAM) systems facilitates the systematic delivery of replicable and standardized, yet individually-tailored treatments. To facilitate high-quality CAM acupuncture research by outlining a method for the systematic design and implementation of protocols used in CAM clinical trials based on the concept of treatment manualization. A series of treatment manuals was developed to systematically articulate the Chinese medical theoretical and clinical framework for a given Western-defined illness, to increase the quality and consistency of treatment, and to standardize the technical aspects of the protocol. In all, three manuals were developed for National Institutes of Health (NIH)-funded clinical trials of acupuncture for depression, spasticity in cerebral palsy, and repetitive stress injury. In Part I, the rationale underlying these manuals and the challenges encountered in creating them are discussed, and qualitative assessments of their utility are provided. In Part II, a methodology to develop treatment manuals for use in clinical trials is detailed, and examples are given. A treatment manual provides a precise way to train and supervise practitioners, enable evaluation of conformity and competence, facilitate the training process, and increase the ability to identify the active therapeutic ingredients in clinical trials of acupuncture.
The Impact of Manual Segmentation of CT Images on Monte Carlo Based Skeletal Dosimetry

NASA Astrophysics Data System (ADS)

Frederick, Steve; Jokisch, Derek; Bolch, Wesley; Shah, Amish; Brindle, Jim; Patton, Phillip; Wyler, J. S.

2004-11-01

Radiation doses to the skeleton from internal emitters are of importance in both protection of radiation workers and patients undergoing radionuclide therapies. Improved dose estimates involve obtaining two sets of medical images. The first image provides the macroscopic boundaries (spongiosa volume and cortical shell) of the individual skeletal sites. A second, higher resolution image of the spongiosa microstructure is also obtained. These image sets then provide the geometry for a Monte Carlo radiation transport code. Manual segmentation of the first image is required in order to provide the macrostructural data. For this study, multiple segmentations of the same CT image were performed by multiple individuals. The segmentations were then used in the transport code and the results compared in order to determine the impact of differing segmentations on the skeletal doses. This work has provided guidance on the extent of training required of the manual segmenters. (This work was supported by a grant from the National Institute of Health.)
The effectiveness of combining inspiratory muscle training with manual therapy and a therapeutic exercise program on maximum inspiratory pressure in adults with asthma: a randomized clinical trial.

PubMed

López-de-Uralde-Villanueva, Ibai; Candelas-Fernández, Pablo; de-Diego-Cano, Beatriz; Mínguez-Calzada, Orcález; Del Corral, Tamara

2018-06-01

The objective of this study was to evaluate whether the addition of manual therapy and therapeutic exercise protocol to inspiratory muscle training was more effective in improving maximum inspiratory pressure than inspiratory muscle training in isolation. This is a single-blinded, randomized controlled trial. In total, 43 patients with asthma were included in this study. The patients were allocated into one of the two groups: (1) inspiratory muscle training ( n = 21; 20-minute session) or (2) inspiratory muscle training (20-minute session) combined with a program of manual therapy (15-minute session) and therapeutic exercise (15-minute session; n = 22). All participants received 12 sessions, two days/week, for six weeks and performed the domiciliary exercises protocol. The main measures such as maximum inspiratory pressure, spirometric measures, forward head posture, and thoracic kyphosis were recorded at baseline and after the treatment. For the per-protocol analysis, between-group differences at post-intervention were observed in maximum inspiratory pressure (19.77 cmH 2 O (11.49-28.04), P < .05; F = 22.436; P < .001; η 2 p = 0.371) and forward head posture (-1.25 cm (-2.32 to -0.19), P < .05; F = 5.662; P = .022; η 2 p = 0.13). The intention-to-treat analysis showed the same pattern of findings. The inspiratory muscle training combined with a manual therapy and therapeutic exercise program is more effective than its application in isolation for producing short-term maximum inspiratory pressure and forward head posture improvements in patients with asthma.
Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context.

PubMed

Dolz, Jose; Laprie, Anne; Ken, Soléakhéna; Leroy, Henri-Arthur; Reyns, Nicolas; Massoptier, Laurent; Vermandel, Maximilien

2016-01-01

To constrain the risk of severe toxicity in radiotherapy and radiosurgery, precise volume delineation of organs at risk is required. This task is still manually performed, which is time-consuming and prone to observer variability. To address these issues, and as alternative to atlas-based segmentation methods, machine learning techniques, such as support vector machines (SVM), have been recently presented to segment subcortical structures on magnetic resonance images (MRI). SVM is proposed to segment the brainstem on MRI in multicenter brain cancer context. A dataset composed by 14 adult brain MRI scans is used to evaluate its performance. In addition to spatial and probabilistic information, five different image intensity values (IIVs) configurations are evaluated as features to train the SVM classifier. Segmentation accuracy is evaluated by computing the Dice similarity coefficient (DSC), absolute volumes difference (AVD) and percentage volume difference between automatic and manual contours. Mean DSC for all proposed IIVs configurations ranged from 0.89 to 0.90. Mean AVD values were below 1.5 cm(3), where the value for best performing IIVs configuration was 0.85 cm(3), representing an absolute mean difference of 3.99% with respect to the manual segmented volumes. Results suggest consistent volume estimation and high spatial similarity with respect to expert delineations. The proposed approach outperformed presented methods to segment the brainstem, not only in volume similarity metrics, but also in segmentation time. Preliminary results showed that the approach might be promising for adoption in clinical use.

The CAHPER Fitness-Performance Test Manual: For Boys and Girls 7 to 17 Years of Age.

ERIC Educational Resources Information Center

Canadian Association for Health, Physical Education, and Recreation, Ottawa (Ontario).

Outlined in this manual is Canada's first National Test of Physical Fitness. Each test item is a valid and reliable measure of fitness, simple enough for any teacher not trained in fitness measurement to administer. Each of the six tests measures a different aspect of fitness: (1) the one-minute speed sit-up tests the strength and endurance of the…
Detection of Thermal Erosion Gullies from High-Resolution Images Using Deep Learning

NASA Astrophysics Data System (ADS)

Huang, L.; Liu, L.; Jiang, L.; Zhang, T.; Sun, Y.

2017-12-01

Thermal erosion gullies, one type of thermokarst landforms, develop due to thawing of ice-rich permafrost. Mapping the location and extent of thermal erosion gullies can help understand the spatial distribution of thermokarst landforms and their temporal evolution. Remote sensing images provide an effective way for mapping thermokarst landforms, especially thermokarst lakes. However, thermal erosion gullies are challenging to map from remote sensing images due to their small sizes and significant variations in geometric/radiometric properties. It is feasible to manually identify these features, as a few previous studies have carried out. However manual methods are labor-intensive, therefore, cannot be used for a large study area. In this work, we conduct automatic mapping of thermal erosion gullies from high-resolution images by using Deep Learning. Our study area is located in Eboling Mountain (Qinghai, China). Within a 6 km2 peatland area underlain by ice-rich permafrost, at least 20 thermal erosional gullies are well developed. The image used is a 15-cm-resolution Digital Orthophoto Map (DOM) generated in July 2016. First, we extracted 14 gully patches and ten non-gully patches as training data. And we performed image augmentation. Next, we fine-tuned the pre-trained model of DeepLab, a deep-learning algorithm for semantic image segmentation based on Deep Convolutional Neural Networks. Then, we performed inference on the whole DOM and obtained intermediate results in forms of polygons for all identified gullies. At last, we removed misidentified polygons based on a few pre-set criteria on the size and shape of each polygon. Our final results include 42 polygons. Validated against field measurements using GPS, most of the gullies are detected correctly. There are 20 false detections due to the small number and low quality of training images. We also found three new gullies that missed in the field observations. This study shows that (1) despite a challenging mapping task, DeepLab can detect small, irregular-shaped thermal erosion gullies with high accuracy. (2) Automatic detection is critical for mapping thermal erosion gully since manual mapping or field work may miss some targets even in a relatively small region. (3) The quantity and quality of training data are crucial for detection accuracy.
Supervised segmentation of microelectrode recording artifacts using power spectral density.

PubMed

Bakstein, Eduard; Schneider, Jakub; Sieger, Tomas; Novak, Daniel; Wild, Jiri; Jech, Robert

2015-08-01

Appropriate detection of clean signal segments in extracellular microelectrode recordings (MER) is vital for maintaining high signal-to-noise ratio in MER studies. Existing alternatives to manual signal inspection are based on unsupervised change-point detection. We present a method of supervised MER artifact classification, based on power spectral density (PSD) and evaluate its performance on a database of 95 labelled MER signals. The proposed method yielded test-set accuracy of 90%, which was close to the accuracy of annotation (94%). The unsupervised methods achieved accuracy of about 77% on both training and testing data.
Distribution of pre-course BLS/AED manuals does not influence skill acquisition and retention in lay rescuers: a randomised study.

PubMed

Papadimitriou, Lila; Xanthos, Theodoros; Bassiakou, Eleni; Stroumpoulis, Kostantinos; Barouxis, Dimitrios; Iacovidou, Nicolleta

2010-03-01

The present study aims to investigate whether the distribution of the Basic Life Support and Automated External Defibrillation (BLS/AED) manual, 4 weeks prior to the course, has an effect on skill acquisition, theoretical knowledge and skill retention, compared with courses where manuals were not distributed. A total of 303 laypeople were included in the present study. The courses were randomised with sealed envelopes in 12 courses, where manuals were distributed to participants (group A) and in 12 courses, where manuals were not distributed to participants (group B). The participants were formally evaluated at the end of the course, and at 1, 3 and 6 months after each course. The evaluation procedure was the same at all time intervals and consisted of two distinct parts: a written test and a simulated cardiac arrest scenario. No significant difference was observed between the two groups in skill acquisition at the time of initial training. Furthermore, there was no significant difference between the groups in performing BLS/AED skills at 1, 3 and 6 months after initial training. Theoretical knowledge in either group at the specified time intervals did not exhibit any significant difference. Significant deterioration of skills was observed in both groups between initial training and at 1 month after the course, as well as between the first and third month after the course. The present study shows that distribution of BLS/AED manuals 1 month prior to the course has no effect on theoretical knowledge, skill acquisition and skill retention in laypeople. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.
Air Controlman 3 and 2: Naval Rate Training Manual and Nonresident Career Course.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The Rate Training Manual is one of a series of training manuals prepared for enlisted personnel of the Navy and Naval Reserve studying for advancement in the Air Controlman (AC) rating to Air Controlman Third and Second Class. Chapter 1 discusses air controlman qualifications, the enlisted rating structure, the Air Controlman rating, references…
46 CFR 160.156-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 6 2014-10-01 2014-10-01 false Operating instructions and information for the ship's... Boats and Fast Rescue Boats (SOLAS) § 160.156-19 Operating instructions and information for the ship's training manual. (a) Each rescue boat must have instructions and information for the ship's training manual...
46 CFR 160.170-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 46 Shipping 6 2013-10-01 2013-10-01 false Operating instructions and information for the ship's... the ship's training manual. (a) In order to comply with SOLAS, each release mechanism must have instructions and information for the ship's training manual that use the symbols from IMO Res. A.760(18...
46 CFR 160.170-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 46 Shipping 6 2012-10-01 2012-10-01 false Operating instructions and information for the ship's... the ship's training manual. (a) In order to comply with SOLAS, each release mechanism must have instructions and information for the ship's training manual that use the symbols from IMO Res. A.760(18...
46 CFR 160.156-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 46 Shipping 6 2012-10-01 2012-10-01 false Operating instructions and information for the ship's... Boats and Fast Rescue Boats (SOLAS) § 160.156-19 Operating instructions and information for the ship's training manual. (a) Each rescue boat must have instructions and information for the ship's training manual...
46 CFR 160.170-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 6 2014-10-01 2014-10-01 false Operating instructions and information for the ship's... the ship's training manual. (a) In order to comply with SOLAS, each release mechanism must have instructions and information for the ship's training manual that use the symbols from IMO Res. A.760(18...
Aviation Machinist's Mate R 1 and C: Rate Training Manual.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The profusely illustrated rate training manual is one of a series of training manuals prepared for enlisted personnel of the Navy and Naval Reserve who are studying for advancement in the Aviation Machinist's Mate R rating (ADR 1 and ADRC). Chapter one provides information helpful for use in advancement. Chapters two through ten consist of units…
An Analysis of John Dewey's Notion of Occupations--Still Pedagogically Valuable?

ERIC Educational Resources Information Center

DeFalco, Anthony

2010-01-01

John Dewey lived and worked in an environment where the manual training movement was ever-present. For Dewey his own unique version of manual training is labeled occupations. Nevertheless, over the years what Dewey meant by occupations has been either misinterpreted or ignored for a plethora of reasons. This manual training climate that Dewey was…
Tree Seed Technology Training Course - Instructor's Manual

Treesearch

F.T. Bonner; John A. Vozzo; W.W. Elam; S.B. Land

1994-01-01

This manual is intended primarily to train seed collectors, seed-plant managers, seed analysts, and nursery managers, but it can serve as a resource for any training course in forest regeneration. It includes both temperate and tropical tree species of all intended uses. The manual covers the following topics: seed biology, seed collection, seed handling, seed-quality...
Preferential stabilization of newly formed dendritic spines in motor cortex during manual skill learning predicts performance gains, but not memory endurance.

PubMed

Clark, Taylor A; Fu, Min; Dunn, Andrew K; Zuo, Yi; Jones, Theresa A

2018-07-01

Previous findings that skill learning is associated with the formation and preferential stabilization of new dendritic spines in cortex have raised the possibility that this preferential stabilization is a mechanism for lasting skill memory. We investigated this possibility in adult mice using in vivo two-photon imaging to monitor spine dynamics on superficial apical dendrites of layer V pyramidal neurons in motor cortex during manual skill learning. Spine formation increased over the first 3 days of training on a skilled reaching task, followed by increased spine elimination. A greater proportion of spines formed during the first 3 training days were lost if training stopped after 3, compared with 15 days. However, performance gains achieved in 3 training days persisted, indicating that preferential new spine stabilization was non-essential for skill retention. Consistent with a role in ongoing skill refinement, the persistence of spines formed early in training strongly predicted performance improvements. Finally, while we observed no net spine density change on superficial dendrites, the density of spines on deeper apical branches of the same neuronal population was increased regardless of training duration, suggestive of a potential role in the retention of the initial skill memory. Together, these results indicate dendritic subpopulation-dependent variation in spine structural responses to skill learning, which potentially reflect distinct contributions to the refinement and retention of newly acquired motor skills. Copyright © 2018 Elsevier Inc. All rights reserved.
[Development of fixed-base full task space flight training simulator].

PubMed

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

2003-01-01

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

ERIC Educational Resources Information Center

Inge, Katherine; And Others

This training manual provides practical guidelines for staff development in supported employment programs for individuals with severe disabilities. It provides information on designing and developing training programs using adult learning principles, for program managers or trainers responsible for implementing inservice training and technical…
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.

PubMed

Jimenez-Del-Toro, Oscar; Muller, Henning; Krenn, Markus; Gruenberg, Katharina; Taha, Abdel Aziz; Winterstein, Marianne; Eggel, Ivan; Foncubierta-Rodriguez, Antonio; Goksel, Orcun; Jakab, Andras; Kontokotsios, Georgios; Langs, Georg; Menze, Bjoern H; Salas Fernandez, Tomas; Schaer, Roger; Walleyo, Anna; Weber, Marc-Andre; Dicente Cid, Yashin; Gass, Tobias; Heinrich, Mattias; Jia, Fucang; Kahl, Fredrik; Kechichian, Razmig; Mai, Dominic; Spanier, Assaf B; Vincent, Graham; Wang, Chunliang; Wyeth, Daniel; Hanbury, Allan

2016-11-01

Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud-based evaluation framework is presented in this paper including results of benchmarking current state-of-the-art medical imaging algorithms for anatomical structure segmentation and landmark detection: the VISCERAL Anatomy benchmarks. The algorithms are implemented in virtual machines in the cloud where participants can only access the training data and can be run privately by the benchmark administrators to objectively compare their performance in an unseen common test set. Overall, 120 computed tomography and magnetic resonance patient volumes were manually annotated to create a standard Gold Corpus containing a total of 1295 structures and 1760 landmarks. Ten participants contributed with automatic algorithms for the organ segmentation task, and three for the landmark localization task. Different algorithms obtained the best scores in the four available imaging modalities and for subsets of anatomical structures. The annotation framework, resulting data set, evaluation setup, results and performance analysis from the three VISCERAL Anatomy benchmarks are presented in this article. Both the VISCERAL data set and Silver Corpus generated with the fusion of the participant algorithms on a larger set of non-manually-annotated medical images are available to the research community.
A neural network for noise correlation classification

NASA Astrophysics Data System (ADS)

Paitz, Patrick; Gokhberg, Alexey; Fichtner, Andreas

2018-02-01

We present an artificial neural network (ANN) for the classification of ambient seismic noise correlations into two categories, suitable and unsuitable for noise tomography. By using only a small manually classified data subset for network training, the ANN allows us to classify large data volumes with low human effort and to encode the valuable subjective experience of data analysts that cannot be captured by a deterministic algorithm. Based on a new feature extraction procedure that exploits the wavelet-like nature of seismic time-series, we efficiently reduce the dimensionality of noise correlation data, still keeping relevant features needed for automated classification. Using global- and regional-scale data sets, we show that classification errors of 20 per cent or less can be achieved when the network training is performed with as little as 3.5 per cent and 16 per cent of the data sets, respectively. Furthermore, the ANN trained on the regional data can be applied to the global data, and vice versa, without a significant increase of the classification error. An experiment where four students manually classified the data, revealed that the classification error they would assign to each other is substantially larger than the classification error of the ANN (>35 per cent). This indicates that reproducibility would be hampered more by human subjectivity than by imperfections of the ANN.
Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery

NASA Astrophysics Data System (ADS)

Ma, Lei; Cheng, Liang; Li, Manchun; Liu, Yongxue; Ma, Xiaoxue

2015-04-01

Unmanned Aerial Vehicle (UAV) has been used increasingly for natural resource applications in recent years due to their greater availability and the miniaturization of sensors. In addition, Geographic Object-Based Image Analysis (GEOBIA) has received more attention as a novel paradigm for remote sensing earth observation data. However, GEOBIA generates some new problems compared with pixel-based methods. In this study, we developed a strategy for the semi-automatic optimization of object-based classification, which involves an area-based accuracy assessment that analyzes the relationship between scale and the training set size. We found that the Overall Accuracy (OA) increased as the training set ratio (proportion of the segmented objects used for training) increased when the Segmentation Scale Parameter (SSP) was fixed. The OA increased more slowly as the training set ratio became larger and a similar rule was obtained according to the pixel-based image analysis. The OA decreased as the SSP increased when the training set ratio was fixed. Consequently, the SSP should not be too large during classification using a small training set ratio. By contrast, a large training set ratio is required if classification is performed using a high SSP. In addition, we suggest that the optimal SSP for each class has a high positive correlation with the mean area obtained by manual interpretation, which can be summarized by a linear correlation equation. We expect that these results will be applicable to UAV imagery classification to determine the optimal SSP for each class.
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

PubMed

Al Hajj, Hassan; Lamard, Mathieu; Conze, Pierre-Henri; Cochener, Béatrice; Quellec, Gwenolé

2018-05-09

This paper investigates the automatic monitoring of tool usage during a surgery, with potential applications in report generation, surgical training and real-time decision support. Two surgeries are considered: cataract surgery, the most common surgical procedure, and cholecystectomy, one of the most common digestive surgeries. Tool usage is monitored in videos recorded either through a microscope (cataract surgery) or an endoscope (cholecystectomy). Following state-of-the-art video analysis solutions, each frame of the video is analyzed by convolutional neural networks (CNNs) whose outputs are fed to recurrent neural networks (RNNs) in order to take temporal relationships between events into account. Novelty lies in the way those CNNs and RNNs are trained. Computational complexity prevents the end-to-end training of "CNN+RNN" systems. Therefore, CNNs are usually trained first, independently from the RNNs. This approach is clearly suboptimal for surgical tool analysis: many tools are very similar to one another, but they can generally be differentiated based on past events. CNNs should be trained to extract the most useful visual features in combination with the temporal context. A novel boosting strategy is proposed to achieve this goal: the CNN and RNN parts of the system are simultaneously enriched by progressively adding weak classifiers (either CNNs or RNNs) trained to improve the overall classification accuracy. Experiments were performed in a dataset of 50 cataract surgery videos, where the usage of 21 surgical tools was manually annotated, and a dataset of 80 cholecystectomy videos, where the usage of 7 tools was manually annotated. Very good classification performance are achieved in both datasets: tool usage could be labeled with an average area under the ROC curve of A z =0.9961 and A z =0.9939, respectively, in offline mode (using past, present and future information), and A z =0.9957 and A z =0.9936, respectively, in online mode (using past and present information only). Copyright © 2018 Elsevier B.V. All rights reserved.

Important wheelchair skills for new manual wheelchair users: health care professional and wheelchair user perspectives.

PubMed

Morgan, Kerri A; Engsberg, Jack R; Gray, David B

2017-01-01

The purpose of this project was to identify wheelchair skills currently being taught to new manual wheelchair users, identify areas of importance for manual wheelchair skills' training during initial rehabilitation, identify similarities and differences between the perspectives of health care professionals and manual wheelchair users and use the ICF to organize themes related to rehabilitation and learning how to use a manual wheelchair. Focus groups were conducted with health care professionals and experienced manual wheelchair users. ICF codes were used to identify focus group themes. The Activities and Participation codes were more frequently used than Structure, Function and Environment codes. Wheelchair skills identified as important for new manual wheelchair users included propulsion techniques, transfers in an out of the wheelchair, providing maintenance to the wheelchair and navigating barriers such as curbs, ramps and rough terrain. Health care professionals and manual wheelchair users identified the need to incorporate the environment (home and community) into the wheelchair training program. Identifying essential components for training the proper propulsion mechanics and wheelchair skills in new manual wheelchair users is an important step in preventing future health and participation restrictions. Implications for Rehabilitation Wheelchair skills are being addressed frequently during rehabilitation at the activity-dependent level. Propulsion techniques, transfers in an out of the wheelchair, providing maintenance to the wheelchair and navigating barriers such as curbs, ramps and rough terrain are important skills to address during wheelchair training. Environment factors (in the home and community) are important to incorporate into wheelchair training to maximize safe and multiple-environmental-setting uses of manual wheelchairs. The ICF has application to understanding manual wheelchair rehabilitation for wheelchair users and therapists for improving the understanding of manual wheelchair use.
Information Security – Guidance for Manually Completing the Information Security Awareness Training

EPA Pesticide Factsheets

The purpose of this guidance is to provide an alternative manual process for disseminating EPA Information Security Awareness Training (ISAT) materials and collecting results from EPA users who elect to complete the ISAT manually.
Training Manual Development Program: Dominion Bridge. Final Report. Organizational Needs Assessment of Workplace Literacy Skills & Development of Training Manuals for the Paint Department.

ERIC Educational Resources Information Center

McKeag, Janis

To address specific workplace literacy needs within the steel fabrication sector in Manitoba, an organizational needs assessment was conducted training manuals were developed using literacy task analysis techniques. The organizational needs assessment assessed the general and workplace literacy tasks and demands of hourly workers at Dominion…
Project LEAP: Learning-English-for-Academic-Purposes. Training Manual--Year One and Training Manual--Year Two.

ERIC Educational Resources Information Center

Snow, Marguerite Ann, Ed.

The two training manuals provide activities and exercises intended for use in college-level study groups for students needing assistance with academic English. They were prepared as part of a larger project at California State University at Los Angeles to enhance curricula, instruction, and preparation of students with limited English. In each…
The Development and Evaluation of a Parent Training Manual for Home Instruction.

ERIC Educational Resources Information Center

Yaman, Nancy; Hanson, Ralph A.

The development of a simple and effective means of training parents and other non-professionals in the use of a home-based instructional program is the concern of this paper. The home-based program is the SWRL Parent-Assisted Learning Program (PAL). PAL was created as an adjunct to a broader communication skills program, First Year Communication…
Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury.

PubMed

Yadav, Kabir; Sarioglu, Efsun; Choi, Hyeong Ah; Cartwright, Walter B; Hinds, Pamela S; Chamberlain, James M

2016-02-01

The authors have previously demonstrated highly reliable automated classification of free-text computed tomography (CT) imaging reports using a hybrid system that pairs linguistic (natural language processing) and statistical (machine learning) techniques. Previously performed for identifying the outcome of orbital fracture in unprocessed radiology reports from a clinical data repository, the performance has not been replicated for more complex outcomes. To validate automated outcome classification performance of a hybrid natural language processing (NLP) and machine learning system for brain CT imaging reports. The hypothesis was that our system has performance characteristics for identifying pediatric traumatic brain injury (TBI). This was a secondary analysis of a subset of 2,121 CT reports from the Pediatric Emergency Care Applied Research Network (PECARN) TBI study. For that project, radiologists dictated CT reports as free text, which were then deidentified and scanned as PDF documents. Trained data abstractors manually coded each report for TBI outcome. Text was extracted from the PDF files using optical character recognition. The data set was randomly split evenly for training and testing. Training patient reports were used as input to the Medical Language Extraction and Encoding (MedLEE) NLP tool to create structured output containing standardized medical terms and modifiers for negation, certainty, and temporal status. A random subset stratified by site was analyzed using descriptive quantitative content analysis to confirm identification of TBI findings based on the National Institute of Neurological Disorders and Stroke (NINDS) Common Data Elements project. Findings were coded for presence or absence, weighted by frequency of mentions, and past/future/indication modifiers were filtered. After combining with the manual reference standard, a decision tree classifier was created using data mining tools WEKA 3.7.5 and Salford Predictive Miner 7.0. Performance of the decision tree classifier was evaluated on the test patient reports. The prevalence of TBI in the sampled population was 159 of 2,217 (7.2%). The automated classification for pediatric TBI is comparable to our prior results, with the notable exception of lower positive predictive value. Manual review of misclassified reports, 95.5% of which were false-positives, revealed that a sizable number of false-positive errors were due to differing outcome definitions between NINDS TBI findings and PECARN clinical important TBI findings and report ambiguity not meeting definition criteria. A hybrid NLP and machine learning automated classification system continues to show promise in coding free-text electronic clinical data. For complex outcomes, it can reliably identify negative reports, but manual review of positive reports may be required. As such, it can still streamline data collection for clinical research and performance improvement. © 2016 by the Society for Academic Emergency Medicine.
Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury

PubMed Central

Yadav, Kabir; Sarioglu, Efsun; Choi, Hyeong-Ah; Cartwright, Walter B.; Hinds, Pamela S.; Chamberlain, James M.

2016-01-01

Background The authors have previously demonstrated highly reliable automated classification of free text computed tomography (CT) imaging reports using a hybrid system that pairs linguistic (natural language processing) and statistical (machine learning) techniques. Previously performed for identifying the outcome of orbital fracture in unprocessed radiology reports from a clinical data repository, the performance has not been replicated for more complex outcomes. Objectives To validate automated outcome classification performance of a hybrid natural language processing (NLP) and machine learning system for brain CT imaging reports. The hypothesis was that our system has performance characteristics for identifying pediatric traumatic brain injury (TBI). Methods This was a secondary analysis of a subset of 2,121 CT reports from the Pediatric Emergency Care Applied Research Network (PECARN) TBI study. For that project, radiologists dictated CT reports as free text, which were then de-identified and scanned as PDF documents. Trained data abstractors manually coded each report for TBI outcome. Text was extracted from the PDF files using optical character recognition. The dataset was randomly split evenly for training and testing. Training patient reports were used as input to the Medical Language Extraction and Encoding (MedLEE) NLP tool to create structured output containing standardized medical terms and modifiers for negation, certainty, and temporal status. A random subset stratified by site was analyzed using descriptive quantitative content analysis to confirm identification of TBI findings based upon the National Institute of Neurological Disorders and Stroke Common Data Elements project. Findings were coded for presence or absence, weighted by frequency of mentions, and past/future/indication modifiers were filtered. After combining with the manual reference standard, a decision tree classifier was created using data mining tools WEKA 3.7.5 and Salford Predictive Miner 7.0. Performance of the decision tree classifier was evaluated on the test patient reports. Results The prevalence of TBI in the sampled population was 159 out of 2,217 (7.2%). The automated classification for pediatric TBI is comparable to our prior results, with the notable exception of lower positive predictive value (PPV). Manual review of misclassified reports, 95.5% of which were false positives, revealed that a sizable number of false-positive errors were due to differing outcome definitions between NINDS TBI findings and PECARN clinical important TBI findings, and report ambiguity not meeting definition criteria. Conclusions A hybrid NLP and machine learning automated classification system continues to show promise in coding free-text electronic clinical data. For complex outcomes, it can reliably identify negative reports, but manual review of positive reports may be required. As such, it can still streamline data collection for clinical research and performance improvement. PMID:26766600
Training Needs Analysis. A Resource for Identifying Training Needs, Selecting Training Strategies, and Developing Training Plans.

ERIC Educational Resources Information Center

Bartram, Sharon; Gibson, Brenda

Designed as a practical tool for trainers, this manual contains 22 instruments and documents for gathering and processing information about training and development issues within an organization. Part one of the two-part manual examines the process of identifying and analyzing training needs. It reviews the different types of information the…
Caring for Preschool Children: A Competency-Based Training Program. Volumes I and II. Second Edition [and] a Trainer's Guide.

ERIC Educational Resources Information Center

Dodge, Diane Trister; Koralek, Derry Gosselin; Pizzolongo, Peter J.; Al-Salam, Debra

The "Caring for Preschool Children" program was designed as a personalized training program to help adults working with preschool children acquire the skills and knowledge needed to provide a high quality preschool program. This two-volume training manual is comprised of 13 modules corresponding to the areas of the Child Development…
A method for named entity normalization in biomedical articles: application to diseases and plants.

PubMed

Cho, Hyejin; Choi, Wonjun; Lee, Hyunju

2017-10-13

In biomedical articles, a named entity recognition (NER) technique that identifies entity names from texts is an important element for extracting biological knowledge from articles. After NER is applied to articles, the next step is to normalize the identified names into standard concepts (i.e., disease names are mapped to the National Library of Medicine's Medical Subject Headings disease terms). In biomedical articles, many entity normalization methods rely on domain-specific dictionaries for resolving synonyms and abbreviations. However, the dictionaries are not comprehensive except for some entities such as genes. In recent years, biomedical articles have accumulated rapidly, and neural network-based algorithms that incorporate a large amount of unlabeled data have shown considerable success in several natural language processing problems. In this study, we propose an approach for normalizing biological entities, such as disease names and plant names, by using word embeddings to represent semantic spaces. For diseases, training data from the National Center for Biotechnology Information (NCBI) disease corpus and unlabeled data from PubMed abstracts were used to construct word representations. For plants, a training corpus that we manually constructed and unlabeled PubMed abstracts were used to represent word vectors. We showed that the proposed approach performed better than the use of only the training corpus or only the unlabeled data and showed that the normalization accuracy was improved by using our model even when the dictionaries were not comprehensive. We obtained F-scores of 0.808 and 0.690 for normalizing the NCBI disease corpus and manually constructed plant corpus, respectively. We further evaluated our approach using a data set in the disease normalization task of the BioCreative V challenge. When only the disease corpus was used as a dictionary, our approach significantly outperformed the best system of the task. The proposed approach shows robust performance for normalizing biological entities. The manually constructed plant corpus and the proposed model are available at http://gcancer.org/plant and http://gcancer.org/normalization , respectively.
Manual wheelchair tilt-rest skill: a cross-sectional survey of awareness and capacity among wheelchair users.

PubMed

Kirby, R Lee; Aggour, Amira; Chen, Audrey; Smith, Cher; Theriault, Chris; Matheson, Kara

2018-06-19

The tilt-rest skill consists of tipping the wheelchair back and allowing it to rest against a solid object with the wheel locks applied (e.g., for pressure redistribution, neck comfort or hands-free activities). The objective of this study was to determine the proportion of experienced manual wheelchair users who are aware of this skill and who can perform it. We conducted a cross-sectional survey of 49 manual wheelchair users using a questionnaire developed for the purpose. The tilt-rest skill was attempted by those who reported that they were capable of performing it. Participants' mean (SD) age was 55.1 (18.2) years, 38 (77.6%) were male, their median (IQR) duration of wheelchair use was 2 (7.2) years and their mean (SD) daily time spent in the wheelchair was 9.5 (4.6) hours. Twenty-seven (55.1%) participants were aware of the skill, 19 (38.8%) reported being able to perform the skill and 16 of 47 (34.0%) were able to demonstrate the skill. Multivariate modelling with the question "Can you complete the tilt-rest skill?" as the dependent measure revealed an inverse relationship with age - Odds Ratio (95% Confidence Interval) of 0.476 (0.293, 0.774) (p = .0028) for each 10 year increase in age. Only just over half of manual wheelchair users are aware of the tilt-rest skill and one-third of users can perform it. Older people are less likely to report being able to complete the skill. These findings have implications for wheelchair skills training during the wheelchair-provision process. Implications for Rehabilitation Only just over half of manual wheelchair users are aware of the tilt-rest skill and only about one-third of users can perform it. Older people are less likely to report being able to complete the skill. These findings have clinical implications for wheelchair skills training during the, specifically that clinicians responsible for manual wheelchair-provision process should ensure that appropriate wheelchair users have the opportunity to learn this skill.
Inducing self-selected human engagement in robotic locomotion training.

PubMed

Collins, Steven H; Jackson, Rachel W

2013-06-01

Stroke leads to severe mobility impairments for millions of individuals each year. Functional outcomes can be improved through manual treadmill therapy, but high costs limit patient exposure and, thereby, outcomes. Robotic gait training could increase the viable duration and frequency of training sessions, but robotic approaches employed thus far have been less effective than manual therapy. These shortcomings may relate to subconscious energy-minimizing drives, which might cause patients to engage less actively in therapy when provided with corrective robotic assistance. We have devised a new method for gait rehabilitation that harnesses, rather than fights, least-effort tendencies. Therapeutic goals, such as increased use of the paretic limb, are made easier than the patient's nominal gait through selective assistance from a robotic platform. We performed a pilot test on a healthy subject (N = 1) in which altered self-selected stride length was induced using a tethered robotic ankle-foot orthosis. The subject first walked on a treadmill while wearing the orthosis with and without assistance at unaltered and voluntarily altered stride length. Voluntarily increasing stride length by 5% increased metabolic energy cost by 4%. Robotic assistance decreased energy cost at both unaltered and voluntarily increased stride lengths, by 6% and 8% respectively. We then performed a test in which the robotic system continually monitored stride length and provided more assistance if the subject's stride length approached a target increase. This adaptive assistance protocol caused the subject to slowly adjust their gait patterns towards the target, leading to a 4% increase in stride length. Metabolic energy consumption was simultaneously reduced by 5%. These results suggest that selective-assistance protocols based on targets relevant to rehabilitation might lead patients to self-select desirable gait patterns during robotic gait training sessions, possibly facilitating better adherence and outcomes.
DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, J; Hu, W; Chen, X

Purpose: The aim of this study is to investigate the feasibility of using RapidPlan for breast cancer radiotherapy and to evaluate its performance for planners with different planning experiences. Methods: A training database was collected with 80 expert plan datasets from patients previously received left breast conserving surgery and IMRT-simultaneously integrated boost radiotherapy. The models were created on the RapidPlan. Five patients from the training database and 5 external patients were used for internal and external validation, respectively. Three planners with different planning experiences (beginner, junior, senior) designed manual and RapidPlan based plans for additional ten patients. The plan qualitiesmore » were compared with manual and RapidPlan based ones. Results: For the internal and external validations, there were no significant dose differences on target coverage for plans from RapidPlan and manual. Also, no difference was found in the mean doses to contralateral breast and lung. The RapidPlan improved the heart (V5, V10, V20, V30, and mead dose) and ipsilateral lung (V5, V10, V20, V30, and mean dose) sparing for the beginner and junior planners. Compare to the plans from senior planner, 6 out of 16 clinically checked parameters were improved in RapidPlan, and the left parameters were similar. Conclusion: It is feasible to generate clinical acceptable plans using RapidPlan for breast cancer radiotherapy. The RapidPlan helps to systematically improve the quality of IMRT plans against the benchmark of clinically accepted plans. The RapidPlan shows promise for homogenizing plan quality by transferring planning expertise from more experienced to less experienced planners.« less
Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning

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

Adal, Kedir M.; Sidebe, Desire; Ali, Sharib

2014-01-07

Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are then introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier to detect true MAs. The developed system is built using onlymore » few manually labeled and a large number of unlabeled retinal color fundus images. The performance of the overall system is evaluated on Retinopathy Online Challenge (ROC) competition database. A competition performance measure (CPM) of 0.364 shows the competitiveness of the proposed system against state-of-the art techniques as well as the applicability of the proposed features to analyze fundus images.« less
Twentieth Annual Conference on Manual Control, Volume 2

NASA Technical Reports Server (NTRS)

Hart, S. G. (Compiler); Hartzell, E. J. (Compiler)

1984-01-01

Volume II contains thirty two complete manuscripts and five abstracts. The topics covered include the application of event-related brain potential analysis to operational problems, the subjective evaluation of workload, mental models, training, crew interaction analysis, multiple task performance, and the measurement of workload and performance in simulation.
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.
Infant Caregiving: A Design for Training.

ERIC Educational Resources Information Center

Honig, Alice S.; Lally, J. Ronald

This training manual outlines the skill areas and theoretical framework needed for a successful infant caregiver training program. The manual focuses on the child development aspects of training, particularly personality development, sensory development, language development, and the development of large-muscle skills. Throughout the book, an…
Development and evaluation of a hand tracker using depth images captured from an overhead perspective.

PubMed

Czarnuch, Stephen; Mihailidis, Alex

2015-03-27

We present the development and evaluation of a robust hand tracker based on single overhead depth images for use in the COACH, an assistive technology for people with dementia. The new hand tracker was designed to overcome limitations experienced by the COACH in previous clinical trials. We train a random decision forest classifier using ∼5000 manually labeled, unbalanced, training images. Hand positions from the classifier are translated into task actions based on proximity to environmental objects. Tracker performance is evaluated using a large set of ∼24 000 manually labeled images captured from 41 participants in a fully-functional washroom, and compared to the system's previous colour-based hand tracker. Precision and recall were 0.994 and 0.938 for the depth tracker compared to 0.981 and 0.822 for the colour tracker with the current data, and 0.989 and 0.466 in the previous study. The improved tracking performance supports integration of the depth-based tracker into the COACH toward unsupervised, real-world trials. Implications for Rehabilitation The COACH is an intelligent assistive technology that can enable people with cognitive disabilities to stay at home longer, supporting the concept of aging-in-place. Automated prompting systems, a type of intelligent assistive technology, can help to support the independent completion of activities of daily living, increasing the independence of people with cognitive disabilities while reducing the burden of care experienced by caregivers. Robust motion tracking using depth imaging supports the development of intelligent assistive technologies like the COACH. Robust motion tracking also has application to other forms of assistive technologies including gaming, human-computer interaction and automated assessments.
Manual evaluation of the diaphragm muscle

PubMed Central

Bordoni, Bruno; Marelli, F; Morabito, B; Sacconi, B

2016-01-01

The respiratory diaphragm is the most important muscle for breathing. It contributes to various processes such as expectoration, vomiting, swallowing, urination, and defecation. It facilitates the venous and lymphatic return and helps viscera located above and below the diaphragm to work properly. Its activity is fundamental in the maintenance of posture and body position changes. It can affect the pain perception and emotional state. Many authors reported on diaphragmatic training by using special instruments, whereas only a few studies focused on manual therapy approaches. To the knowledge of the authors, the existing scientific literature does not exhaustively examines the manual evaluation of the diaphragm in its different portions. A complete evaluation of the diaphragm is mandatory for several professional subjects, such as physiotherapists, osteopaths, and chiropractors not only to elaborate a treatment strategy but also to obtain information on the validity of the training performed on the patient. This article aims to describe a strategy of manual evaluation of the diaphragm, with particular attention to anatomical fundamentals, in order to stimulate further research on this less explored field. PMID:27574419
Manual wheeled mobility--current and future developments from the human engineering research laboratories.

PubMed

Cooper, Rory A; Koontz, Alicia M; Ding, Dan; Kelleher, Annmarie; Rice, Ian; Cooper, Rosemarie

2010-01-01

Medical rehabilitation and assistive technology are immersed in a world transitioning to a basis in evidence-based practice. Fortunately, there is a growing body of knowledge related to manual wheelchair mobility to form a basis for clinical decision making. The results from research studies are useful for designing better wheelchairs, fitting and training people appropriately, contributing to evidence-based-medicine and guiding future research. This review describes some of the work related to manual wheelchairs that has and is being conducted within the University of Pittsburgh and the Human Engineering Research Laboratories of the United States Department of Veterans Affairs, and its application.

School-based prevention of bullying and relational aggression in adolescence: the fairplayer.manual.

PubMed

Scheithauer, Herbert; Hess, Markus; Schultze-Krumbholz, Anja; Bull, Heike Dele

2012-01-01

The fairplayer.manual is a school-based program to prevent bullying. The program consists of fifteen to seventeen consecutive ninety-minute lessons using cognitive-behavioral methods, methods targeting group norms and group dynamics, and discussions on moral dilemmas. Following a two-day training session, teachers, together with skilled fairplayer.teamers, implement fairplayer.manual in the classroom during regular school lessons. This chapter offers a summary of the program's conception and underlying prevention theory and summarizes the results from two evaluation studies. Standardized questionnaires showed a positive impact of the intervention program on several outcome variables. Copyright © 2012 Wiley Periodicals, Inc., A Wiley Company.
Automatic segmentation of right ventricular ultrasound images using sparse matrix transform and a level set

NASA Astrophysics Data System (ADS)

Qin, Xulei; Cong, Zhibin; Fei, Baowei

2013-11-01

An automatic segmentation framework is proposed to segment the right ventricle (RV) in echocardiographic images. The method can automatically segment both epicardial and endocardial boundaries from a continuous echocardiography series by combining sparse matrix transform, a training model, and a localized region-based level set. First, the sparse matrix transform extracts main motion regions of the myocardium as eigen-images by analyzing the statistical information of the images. Second, an RV training model is registered to the eigen-images in order to locate the position of the RV. Third, the training model is adjusted and then serves as an optimized initialization for the segmentation of each image. Finally, based on the initializations, a localized, region-based level set algorithm is applied to segment both epicardial and endocardial boundaries in each echocardiograph. Three evaluation methods were used to validate the performance of the segmentation framework. The Dice coefficient measures the overall agreement between the manual and automatic segmentation. The absolute distance and the Hausdorff distance between the boundaries from manual and automatic segmentation were used to measure the accuracy of the segmentation. Ultrasound images of human subjects were used for validation. For the epicardial and endocardial boundaries, the Dice coefficients were 90.8 ± 1.7% and 87.3 ± 1.9%, the absolute distances were 2.0 ± 0.42 mm and 1.79 ± 0.45 mm, and the Hausdorff distances were 6.86 ± 1.71 mm and 7.02 ± 1.17 mm, respectively. The automatic segmentation method based on a sparse matrix transform and level set can provide a useful tool for quantitative cardiac imaging.
General Educational Requirements for Access to Manual Skills Training in Botswana. Final Report. Surveys and Studies in Adult Education.

ERIC Educational Resources Information Center

Ahmad, N.; And Others

This report of a study to analyze the problems of access to institutional skills training of the manual work force is divided into five chapters. Chapter l introduces the study and explains the work plan and methodology. Chapter 2 discusses patterns of employment and overviews the provision of manual skills training in Botswana. Chapter 3 concerns…
Community Nutrition Action for Child Survival.

ERIC Educational Resources Information Center

Peace Corps, Washington, DC. Information Collection and Exchange Div.

This publication is designed for use by managers of community-based nutrition programs. The training modules included in this manual were produced and field-tested by the Centre for Development and Population Activities (CEDPA) as a special project providing focused technical assistance and project support to CEDPA training graduates. CEDPA…
Lead Sampling Technician Training Course. Trainer Manual.

ERIC Educational Resources Information Center

ICF, Inc., Washington, DC.

This document presents a model curriculum for use by trainers presenting training course in assessing and reporting dust and debris from deteriorated lead-based paint. The course, which was developed by the U.S. Environmental Protection Agency, is intended for use with housing quality standard inspectors, rehabilitation specialists, home…
Experimental Evaluation of the Training Structure of the Picture Exchange Communication System (PECS)

ERIC Educational Resources Information Center

Cummings, Anne R.; Carr, James E.; LeBlanc, Linda A.

2012-01-01

The Picture Exchange Communication System (PECS) is a picture-based alternative communication method that is widely accepted and utilized with individuals with disabilities. Although prior studies have examined the clinical efficacy of PECS, none have experimentally evaluated its manualized training structure. We experimentally evaluated the…
Training School Psychologists to Conduct Evidence-Based Treatments for Depression

ERIC Educational Resources Information Center

Stark, Kevin D.; Arora, Prerna; Funk, Catherine L.

2011-01-01

Cognitive behavioral therapy is an effective approach to the treatment of depressive disorders within schools, due to its demonstrated efficacy, as well as its availability in manualized treatment form. When implemented by therapists with inadequate training, the treatment is often stilted, less engaging for participants, and aimlessly guided…
Infant Sign Training and Functional Analysis

ERIC Educational Resources Information Center

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

2011-01-01

We taught manual signs to typically developing infants using a reversal design and caregiver-nominated stimuli. We delivered the stimuli on a time-based schedule during baseline. During the intervention, we used progressive prompting and reinforcement, described by Thompson et al. (2004, 2007), to establish mands. Following sign training, we…
The Melwood Manual: A Planning and Operations Manual for Horticultural Training and Work Co-op Programs.

ERIC Educational Resources Information Center

Melwood Horticultural Training Center, Inc., Upper Marlboro, MD.

This manual is intended as a resource for anyone involved in planning, developing, and/or operating a horticultural training or work co-op program for the handicapped. Following an introductory chapter, the manual is divided into three parts with the greatest weight given to the second part. Part I elaborates on development of the horticulture…
Job Performance Aid Methods (for Job Guide Manuals and Other Formats).

ERIC Educational Resources Information Center

James, Frank W.

The report provides simplified instructions for writing and illustrating Job Performance Aids (JPAs). JPAs are step-by-step work instructions geared to the intellectual level of the performer and background training aids for psychological task preparedness. The first two sections of the report discuss the origin of JPAs and the principles of task…
Same But Different: An Intercultural Training Workshop Manual.

ERIC Educational Resources Information Center

Ching, Judith; And Others

This manual is a product of the Intercultural Training Program (ICT) Workshops which were originally designed to provide experiential training to Hawaii's teachers, students, and administrators. The training, however, may be useful to anyone interested in acquiring the experience and knowledge necessary to communicate effectively with varied…
Impact of a Differential Learning Approach on Practical Exam Performance: A Controlled Study in a Preclinical Dental Course.

PubMed

Pabel, Sven-Olav; Pabel, Anne-Kathrin; Schmickler, Jan; Schulz, Xenia; Wiegand, Annette

2017-09-01

The aim of this study was to evaluate if differential learning in a preclinical dental course impacted the performance of dental students in a practical exam (preparation of a gold partial crown) immediately after the training session and 20 weeks later compared to conventional learning. This controlled study was performed in a preclinical course in operative dentistry at a dental school in Germany. Third-year students were trained in preparing gold partial crowns by using either the conventional learning (n=41) or the differential learning approach (n=32). The differential learning approach consisted of 20 movement exercises with a continuous change of movement execution during the learning session, while the conventional learning approach was mainly based on repetition, a methodological series of exercises, and correction of preparations during the training phase. Practical exams were performed immediately after the training session (T1) and 20 weeks later (T2, retention test). Preparations were rated by four independent and blinded examiners. At T1, no significant difference between the performance (exam passed) of the two groups was detected (conventional learning: 54.3%, differential learning: 68.0%). At T2, significantly more students passed the exam when trained by the differential learning approach (68.8%) than by the conventional learning approach (18.9%). Interrater reliability was moderate (Kappa: 0.57, T1) or substantial (Kappa: 0.67, T2), respectively. These results suggest that a differential learning approach can increase the manual skills of dental students.
Manual hyperinflation in airway clearance in pediatric patients: a systematic review

PubMed Central

de Godoy, Vanessa Cristina Waetge Pires; Zanetti, Nathalia Mendonça; Johnston, Cíntia

2013-01-01

Objective To perform an assessment of the available literature on manual hyperinflation as a respiratory physical therapy technique used in pediatric patients, with the main outcome of achieving airway clearance. Methods We reviewed articles included in the Lilacs (Latin American and Caribbean Literature on Health Sciences/Literatura Latino Americana e do Caribe em Ciências da Saúde), Cochrane Library, Medline (via Virtual Health Library and PubMed), SciELO (Scientific Electronic Library), and PEDro (Physiotherapy Evidence Database) databases from 2002 to 2013 using the following search terms: "physiotherapy (techniques)", "respiratory therapy", "intensive care", and "airway clearance". The selected studies were classified according to the level of evidence and grades of recommendation (method of the Oxford Centre for Evidence-Based Medicine) by two examiners, while a third examiner repeated the search and analysis and checked the classification of the articles. Results Three articles were included for analysis, comprising 250 children (aged 0 to 16 years). The main diagnoses were acute respiratory failure, recovery following heart congenital disease and upper abdominal surgery, bone marrow transplantation, asthma, tracheal reconstruction, brain injury, airway injury, and heterogeneous lung diseases. The studies were classified as having a level of evidence 2C and grade of recommendation C. Conclusions Manual hyperinflation appeared useful for airway clearance in the investigated population, although the evidence available in the literature remains insufficient. Therefore, controlled randomized studies are needed to establish the safety and efficacy of manual hyperinflation in pediatric patients. However, manual hyperinflation must be performed by trained physical therapists only. PMID:24213091
Safe Manual Jettison

NASA Technical Reports Server (NTRS)

Barton, Jay

2008-01-01

In space, the controlled release of certain cargoes is no less useful than the maritime jettisons from which they take their name but is also much more dangerous. Experience has shown that jettisons can be performed safely, but the process is complicated with the path to performing a jettison taking months or even years. In the background, time is also required to write procedures, train the crew, configure the vehicle, and many other activities. This paper outlines the current process used by the National Aeronautics and Space Administration (NASA) for manual jettisons, detailing the methods used to assure that the jettisons and the jettisoned objects are as safe as achievable and that the crew is adequately trained to be able to affect the safe jettison. The goal of this paper is not only to capture what it takes to perform safe jettisons in the near Earth environment but to extrapolate this knowledge to future space exploration scenarios that will likely have Extravehicular Activity (EVA) and International Partner (IP) interfaces.
Scene recognition based on integrating active learning with dictionary learning

NASA Astrophysics Data System (ADS)

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

2018-04-01

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

ERIC Educational Resources Information Center

McCormack, James E.

The manual of alternative procedures for teaching handicapped children focuses on programming, planning, and implementing training in the gross motor (posture, limb control, locomotion) and fine motor (facial, digital) skills. The manual consists of the following sections: specific teaching tactics commonly used in motor training stiuations…
Contingency contracting with delinquents: effects of a brief training manual on staff contract negotiation and writing skills.

PubMed

Welch, S J; Holborn, S W

1988-01-01

A brief training manual was developed for the purpose of teaching child-care workers to contingency contract with delinquent youths living in residential care facilities. The manual was designed to require minimal supplementary training by a professional. In Experiment 1 a multiple baseline design was used to assess the effect of the manual on 4 child-care workers' contract negotiation and writing behaviors. Experiment 2 consisted of four A-B systematic replications. Behaviors were assessed within the context of analogue training simulations and generalization tests with delinquent youths. Results from the analogue simulations indicated that the manual was successful in increasing both types of behaviors to a level of proficiency that equaled or surpassed that of behaviorally trained graduate students, and results from the generalization tests indicated that the child-care workers were able to apply their newly acquired contracting skills with delinquent youths. Procedural reliability varied across child-care workers, but was usually high.
Contingency contracting with delinquents: effects of a brief training manual on staff contract negotiation and writing skills.

PubMed Central

Welch, S J; Holborn, S W

1988-01-01

A brief training manual was developed for the purpose of teaching child-care workers to contingency contract with delinquent youths living in residential care facilities. The manual was designed to require minimal supplementary training by a professional. In Experiment 1 a multiple baseline design was used to assess the effect of the manual on 4 child-care workers' contract negotiation and writing behaviors. Experiment 2 consisted of four A-B systematic replications. Behaviors were assessed within the context of analogue training simulations and generalization tests with delinquent youths. Results from the analogue simulations indicated that the manual was successful in increasing both types of behaviors to a level of proficiency that equaled or surpassed that of behaviorally trained graduate students, and results from the generalization tests indicated that the child-care workers were able to apply their newly acquired contracting skills with delinquent youths. Procedural reliability varied across child-care workers, but was usually high. PMID:3225253
Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies

PubMed Central

Russ, Daniel E.; Ho, Kwan-Yuet; Colt, Joanne S.; Armenti, Karla R.; Baris, Dalsu; Chow, Wong-Ho; Davis, Faith; Johnson, Alison; Purdue, Mark P.; Karagas, Margaret R.; Schwartz, Kendra; Schwenn, Molly; Silverman, Debra T.; Johnson, Calvin A.; Friesen, Melissa C.

2016-01-01

Background Mapping job titles to standardized occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiologic studies. Because manual coding is time-consuming and has moderate reliability, we developed an algorithm called SOCcer (Standardized Occupation Coding for Computer-assisted Epidemiologic Research) to assign SOC-2010 codes based on free-text job description components. Methods Job title and task-based classifiers were developed by comparing job descriptions to multiple sources linking job and task descriptions to SOC codes. An industry-based classifier was developed based on the SOC prevalence within an industry. These classifiers were used in a logistic model trained using 14,983 jobs with expert-assigned SOC codes to obtain empirical weights for an algorithm that scored each SOC/job description. We assigned the highest scoring SOC code to each job. SOCcer was validated in two occupational data sources by comparing SOC codes obtained from SOCcer to expert assigned SOC codes and lead exposure estimates obtained by linking SOC codes to a job-exposure matrix. Results For 11,991 case-control study jobs, SOCcer-assigned codes agreed with 44.5% and 76.3% of manually assigned codes at the 6- and 2-digit level, respectively. Agreement increased with the score, providing a mechanism to identify assignments needing review. Good agreement was observed between lead estimates based on SOCcer and manual SOC assignments (kappa: 0.6–0.8). Poorer performance was observed for inspection job descriptions, which included abbreviations and worksite-specific terminology. Conclusions Although some manual coding will remain necessary, using SOCcer may improve the efficiency of incorporating occupation into large-scale epidemiologic studies. PMID:27102331
Evaluation of the impact of deep learning architectural components selection and dataset size on a medical imaging task

NASA Astrophysics Data System (ADS)

Dutta, Sandeep; Gros, Eric

2018-03-01

Deep Learning (DL) has been successfully applied in numerous fields fueled by increasing computational power and access to data. However, for medical imaging tasks, limited training set size is a common challenge when applying DL. This paper explores the applicability of DL to the task of classifying a single axial slice from a CT exam into one of six anatomy regions. A total of 29000 images selected from 223 CT exams were manually labeled for ground truth. An additional 54 exams were labeled and used as an independent test set. The network architecture developed for this application is composed of 6 convolutional layers and 2 fully connected layers with RELU non-linear activations between each layer. Max-pooling was used after every second convolutional layer, and a softmax layer was used at the end. Given this base architecture, the effect of inclusion of network architecture components such as Dropout and Batch Normalization on network performance and training is explored. The network performance as a function of training and validation set size is characterized by training each network architecture variation using 5,10,20,40,50 and 100% of the available training data. The performance comparison of the various network architectures was done for anatomy classification as well as two computer vision datasets. The anatomy classifier accuracy varied from 74.1% to 92.3% in this study depending on the training size and network layout used. Dropout layers improved the model accuracy for all training sizes.

Parenting Skills: A Trainer's Manual. A Performance Based Early Childhood-Special Education Teacher Preparation Program. Monograph 3.

ERIC Educational Resources Information Center

Abidin, Richard R.

This manual, developed as part of the performance-based Early Childhood-Special Education Teacher Preparation Program, is a trainer's manual for teaching parenting skills. Each module or set of modules presents effective skills for managing and changing behaviors of adults and children. Several profession strategies and theoretical orientations…
Training Manual for School Bus Drivers Transporting the Handicapped. [A Resource Manual for the Development and Evaluation of Special Programs for Exceptional Students, Volume IV-A].

ERIC Educational Resources Information Center

Florida State Dept. of Education, Tallahassee. Bureau of Education for Exceptional Students.

One of a series designed to help Florida school districts provide special programs for exceptional children, the training packet is intended to be used in a 2-day training session for school bus drivers who transport handicapped students. The manual includes a brief introduction to five disability areas (physical impairments, visual impairments,…
Aviation Boatswain's Mate H 1 and C: Naval Rate Training Manual and Nonresident Career Course. 1975 Edition.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The Rate Training Manual is one of a series of training manuals prepared for enlisted personnel of the Navy and Naval Reserve designed to aid Aviation Boatswain's Mate H 2 in preparing for advancement to ABH1 and the ABH1 in preparing for advancement to the rank of ABHC. Chapter 1 discusses the enlisted rating structure, the ABH service ratings,…
[The manual "Problematic use and dependence of prescipted drugs" in daily routine care - a study among participants in a training to qualify in "primary addiction treatment"].

PubMed

Ulbricht, S; Gross, B; Kunstmann, W; Meyer, C; John, U

2011-12-01

To strengthen the position of physicians regarding problematic use and dependence of prescripted drugs a manual was issued by the German Medical Association in 2007. A study among participants in a training to qualify in "primary addiction treatment" was conducted. The utilisation of the manual, its relevance for routine care and self-estimated changes in drug prescription were examined. All 542 participants in training courses between 1.9.2008 and 31.12.2009 were asked about participation in a survey 12 weeks later. A number of 267 took part in this investigation. A proportion of 60,7 % among GPs that received the manual dealt with them beyond the training course. From 178 physicians, who confirmed the provision of drug prescription, a number of 56 stated changes in their drug prescription. A higher probabilty for changes in drug prescription was given in case of a high percentage of new informations that could be culled from the manual. The interest for the manual beyond the training course and the amount of self-estimated changes in drug prescription should encourage to use this within training measures in a systematic way. © Georg Thieme Verlag KG Stuttgart · New York.
Helping Teachers Become Inservice Facilitators. A Training Program to Develop School-Based Inservice Planning Teams. Seventh Edition. Inservice Series No. 6.

ERIC Educational Resources Information Center

Wilson, Mary Alice B.

This manual is designed for the training of inservice facilitator teams, which include regular and special education teachers, administrators, and other school district staff. Inservice facilitator teams are defined as teams which develop inservice programs for their school system. Each chapter focuses on a specific skill for the training teams;…
Using rewards and penalties to obtain desired subject performance

NASA Technical Reports Server (NTRS)

Cook, M.; Jex, H. R.; Stein, A. C.; Allen, R. W.

1981-01-01

Operant conditioning procedures, specifically the use of negative reinforcement, in achieving stable learning behavior is described. The critical tracking test (CTT) a method of detecting human operator impairment was tested. A pass level is set for each subject, based on that subject's asymptotic skill level while sober. It is critical that complete training take place before the individualized pass level is set in order that the impairment can be detected. The results provide a more general basis for the application of reward/penalty structures in manual control research.
Word Criticality Analysis MOS: 76W. Skill Levels 1 & 2

DTIC Science & Technology

1981-09-01

some degree of criticality in the training/performance of tasks contained in the respective MOS Soldier’s Manual (SM). These critical words were...printout. The prime users of this document were fully cognizant of its contents and required no special instructioft for interpretation . However, for the...Skill Level II However, due to the way some Soldier Manuals are constructed, the WCA for some MOS have both Skill Levels merged into one report. Each
Nosotras viviremos. Las destrezas: Un manual de capacitacion para trabajar con jovenes latinas campesinas (A Capacity Building Training Manual for Working with Latina Farmworking Youth).

ERIC Educational Resources Information Center

Bolomey, Antonieta; Munoz-Lopez, Rosie; Ramirez-Garnica, Gabriela; Ramos, Flavia S.

This project builds organizational and staff capacity to deliver HIV/AIDS education to farmworking Hispanic female adolescents and women. It includes two training manuals, one addressing the issues of farmworking mothers/mentors, and one addressing the issues of preadolescent and adolescent farmworking girls. This manual for girls emphasizes…
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models.

PubMed

Martindale, Christine F; Hoenig, Florian; Strohrmann, Christina; Eskofier, Bjoern M

2017-10-13

Cyclic signals are an intrinsic part of daily life, such as human motion and heart activity. The detailed analysis of them is important for clinical applications such as pathological gait analysis and for sports applications such as performance analysis. Labeled training data for algorithms that analyze these cyclic data come at a high annotation cost due to only limited annotations available under laboratory conditions or requiring manual segmentation of the data under less restricted conditions. This paper presents a smart annotation method that reduces this cost of labeling for sensor-based data, which is applicable to data collected outside of strict laboratory conditions. The method uses semi-supervised learning of sections of cyclic data with a known cycle number. A hierarchical hidden Markov model (hHMM) is used, achieving a mean absolute error of 0.041 ± 0.020 s relative to a manually-annotated reference. The resulting model was also used to simultaneously segment and classify continuous, 'in the wild' data, demonstrating the applicability of using hHMM, trained on limited data sections, to label a complete dataset. This technique achieved comparable results to its fully-supervised equivalent. Our semi-supervised method has the significant advantage of reduced annotation cost. Furthermore, it reduces the opportunity for human error in the labeling process normally required for training of segmentation algorithms. It also lowers the annotation cost of training a model capable of continuous monitoring of cycle characteristics such as those employed to analyze the progress of movement disorders or analysis of running technique.
Accuracy and reliability of peer assessment of athletic training psychomotor laboratory skills.

PubMed

Marty, Melissa C; Henning, Jolene M; Willse, John T

2010-01-01

Peer assessment is defined as students judging the level or quality of a fellow student's understanding. No researchers have yet demonstrated the accuracy or reliability of peer assessment in athletic training education. To determine the accuracy and reliability of peer assessment of athletic training students' psychomotor skills. Cross-sectional study. Entry-level master's athletic training education program. First-year (n = 5) and second-year (n = 8) students. Participants evaluated 10 videos of a peer performing 3 psychomotor skills (middle deltoid manual muscle test, Faber test, and Slocum drawer test) on 2 separate occasions using a valid assessment tool. Accuracy of each peer-assessment score was examined through percentage correct scores. We used a generalizability study to determine how reliable athletic training students were in assessing a peer performing the aforementioned skills. Decision studies using generalizability theory demonstrated how the peer-assessment scores were affected by the number of participants and number of occasions. Participants had a high percentage of correct scores: 96.84% for the middle deltoid manual muscle test, 94.83% for the Faber test, and 97.13% for the Slocum drawer test. They were not able to reliably assess a peer performing any of the psychomotor skills on only 1 occasion. However, the φ increased (exceeding the 0.70 minimal standard) when 2 participants assessed the skill on 3 occasions (φ = 0.79) for the Faber test, with 1 participant on 2 occasions (φ = 0.76) for the Slocum drawer test, and with 3 participants on 2 occasions for the middle deltoid manual muscle test (φ = 0.72). Although students did not detect all errors, they assessed their peers with an average of 96% accuracy. Having only 1 student assess a peer performing certain psychomotor skills was less reliable than having more than 1 student assess those skills on more than 1 occasion. Peer assessment of psychomotor skills could be an important part of the learning process and a tool to supplement instructor assessment.
NetMOD Version 2.0 User?s Manual.

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

Merchant, Bion J.

2015-10-01

NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydracoustic, and infrasonic networks. Specifically, NetMOD simulates the detection capabilities of monitoring networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes ofmore » signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This manual describes how to configure and operate NetMOD to perform detection simulations. In addition, NetMOD is distributed with simulation datasets for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) International Monitoring System (IMS) seismic, hydroacoustic, and infrasonic networks for the purpose of demonstrating NetMOD's capabilities and providing user training. The tutorial sections of this manual use this dataset when describing how to perform the steps involved when running a simulation. ACKNOWLEDGEMENTS We would like to thank the reviewers of this document for their contributions.« less
Adverse effects as a consequence of being the subject of orthopaedic manual therapy training, a worldwide retrospective survey.

PubMed

Thoomes-de Graaf, M; Thoomes, E; Carlesso, L; Kerry, R; Rushton, A

2017-06-01

Physical therapists (PTs) use a range of manual therapy techniques developed to an advanced level through postgraduate orthopaedic manipulative physical therapy (OMPT) programmes. The aim of this study was to describe the adverse effects experienced by students after having techniques performed on them as part of their OMPT training. A descriptive online survey of current students and recent graduates (≤5 years)m of OMPT programmes across the 22 Member Organisations of the International Federation of Orthopaedic Manipulative Physical Therapists. The questionnaire was completed by 1640 respondents across 22 countries (1263 graduates, 377 students. Some 60% of respondents reported never having experienced adverse effects during their manual therapy training. Of the 40% who did, 66.4% reported neck pain, 50.9% headache and 32% low back pain. Most reports of neck pain started after a manipulation and/or mobilisation, of which 53.4% lasted ≤24 h, 38.1% > 24 h but <3 months and 13.7% still experienced neck pain to date. A small percentage of respondents (3.3%) reported knowing of a fellow student experiencing a major adverse effect. Mild to moderate adverse effects after practising manual therapy techniques are commonly reported, but usually resolve within 24 h. However, this survey has identified the reported occurrence of major adverse effects that warrant further investigation. Copyright © 2017 Elsevier Ltd. All rights reserved.
Behavioral Predictors of Acute Stress Symptoms During Intense Military Training

DTIC Science & Technology

2009-06-01

the Ways of Coping Scale ( Folkman & Lazarus , 1988). During survival training, the Clinician- Administered Dissociative States Scale (Bremner et al...Published on behalf of the International Society for Traumatic Stress Studies. Acute Stress Symptoms 217 Folkman , S., & Lazarus , R. (1988). Manual...and performance in sport (pp. 17–42). Chichester, UK: Wiley. Lazarus , R. S. (2000). Cognitive-motivational-relational theory of emotion. In Y . Hanin
Developing Inventory Records Using the AppleWorks Data Base Subprogram and Apple IIe or GS Computers.

ERIC Educational Resources Information Center

Schlenker, Richard M.

This manual is a "how to" training device for developing inventory records in the AppleWorks program using an Apple IIe or Apple IIGS Computer with Duodisk or two disk drives and an 80-column card. The manual provides step-by-step directions, and includes 17 figures depicting the computer screen at the various stages of the inventory…
Orientation to Municipal Wastewater Treatment. Training Manual.

ERIC Educational Resources Information Center

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

Introductory-level material on municipal wastewater treatment facilities and processes is presented. Course topics include sources and characteristics of municipal wastewaters; objectives of wastewater treatment; design, operation, and maintenance factors; performance testing; plant staffing; and laboratory considerations. Chapter topics include…
Teacher Performance Assessment Instruments: Plans for Practice Rating.

ERIC Educational Resources Information Center

Capie, William; And Others

This manual consists of lesson plans developed to train data collectors in the use of the Teacher Performance Assessment Instruments (TPAI). Each set of plans was designed for one of three purposes. Lesson plans developed for the Teaching Plans and Materials Instrument (TPM) simulate a portfolio prepared by the teacher. One-day plans developed for…
Advanced Waste Treatment. A Field Study Training Program.

ERIC Educational Resources Information Center

California State Univ., Sacramento. Dept. of Civil Engineering.

This operations manual represents a continuation of operator training manuals developed for the United States Environmental Protection Agency (USEPA) in response to the technological advancements of wastewater treatment and the changing needs of the operations profession. It is intended to be used as a home-study course manual (using the concepts…
Industrial Waste Treatment. A Field Study Training Program.

ERIC Educational Resources Information Center

California State Univ., Sacramento. Dept. of Civil Engineering.

This operations manual represents a continuation of operator training manuals developed for the United States Environmental Protection Agency (USEPA) in response to the technological advancements of wastewater treatment and the changing needs of the operations profession. It is intended to be used as a home-study course manual (using the concepts…
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,…
Southeast Asian Family Day Care Resource Manual.

ERIC Educational Resources Information Center

Union of Pan Asian Communities, San Diego, CA.

A companion publication to California's Family Day Care Training Curriculum, this resource manual is designed to help others replicate the child care provider training project and establish a child care network. The manual consists of seven sections. The first section provides an introduction. The second summarizes experiences of the agency that…

Journalist 1 & C. Rate Training Manual, NAVPERS 10295-A.

ERIC Educational Resources Information Center

Bureau of Naval Personnel, Washington, DC.

Presented is a rate training manual to help naval personnel meet occupational qualifications for advancement to Journalist First Class and Chief Journalist. It contains some subject matter reflected in the Manual of Qualification for Advancement (NAVPERS 18068 revised) for Senior Chief Journalist and Master Chief Journalist which is not generally…
Opticalman 1 and C, Rate Training Manual. [1972 Revised Edition].

ERIC Educational Resources Information Center

Naval Personnel Program Support Activity, Washington, DC.

In this revised edition of an earlier publication (ED 070 574), fundamentals of optical instruments on board ships are presented in this rate training manual for regular navy and naval reserve personnel. The manual includes nine chapters: Introduction; Administration and Supervision; Nature of Light; Optical Alignment Instruments; Night Vision…
Manual for Training Leprosy Rehabilitation Workers.

ERIC Educational Resources Information Center

Itoh, Masayoshi; Eason, Alice L.

The purpose of this manual is to introduce the general concepts and techniques in leprosy rehabilitation to physical therapy aides. Because of the lack of well-trained, qualified, physical therapists, the committee on leprosy rehabilitation considers it necessary to publish a teaching manual outlining leprosy rehabilitation for those who work with…
Principles of Training in Marine Corps Task Analysis. Training Manual I. Evaluation of the Marine Corps Task Analysis Program. Technical Report No. 7.

ERIC Educational Resources Information Center

Kuriloff, Arthur H.

This is the first in a series of five training manuals developed for use by the U.S. Marine Corps Office of Manpower Utilization (OMU) in its Task Analysis (TA) program. It is designed for trainers of OMU staff members assigned to the TA program, a research effort requiring interpersonal and research competence. Objectives of the manual are: (1)…
Water and Sanitation Technologies: A Trainer's Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-32.

ERIC Educational Resources Information Center

Hanson, Bradley D.

This guide, which includes an outline of 222 hours of technical training integrated with training in community organization techniques, is intended for trainers who prepare Peace Corps water and sanitation technicians and engineers for field service. The training program developed by the guide covers these subject areas: community development,…
ABE/Pre-Vocational Skills Program. A Teacher's Guide and Curriculum for Pre-Clerical Training.

ERIC Educational Resources Information Center

Johnson, Brenda J.

This manual is designed for teacher use for a 10-week course to prepare chronically unemployed adults to enter traditional clerical courses or job training programs offered by temporary-employment-agencies. The competency-based curriculum provides adults with basic skills in grammar, usage, reading, writing, listening, mathematics, keyboarding,…
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.
Wheelchair skills training to improve confidence with using a manual wheelchair among older adults: A pilot study

PubMed Central

Sakakibara, Brodie M.; Miller, William C.; Souza, Melanie; Nikolova, Viara; Best, Krista L.

2014-01-01

Objectives To examine the effects of wheelchair skills training on confidence in older adults who are inexperienced with using a wheelchair. Design Parallel group, single blind randomized controlled trial Setting Vancouver, Canada Participants Participants (N=20) who were community-living older adults at least 65 years old (mean = 70 years), 50% female, and who had no prior experience using a wheelchair were randomly allocated to an intervention (n=10) or control (n=10) group. Intervention The intervention group received two 1-hour training sessions that followed the Wheelchair Skills Training Program (WSTP) protocol. The control group received a single socialization contact. Main Outcome Measure The Wheelchair Use Confidence Scale-Manual (WheelCon-M) was used to evaluate confidence with using a manual wheelchair. The WheelCon-M is a self-report questionnaire comprised of 65 items in 6 conceptual areas. Results A 1-way between groups analysis of covariance revealed a significant difference in post-intervention WheelCon-M scores between the intervention and control groups [F(1,17) = 10.9, p = 0.004] after controlling for baseline WheelCon-M scores. A large effect size was also observed (partial eta squared = 0.39). Secondary analyses revealed the WSTP had greater effects on confidence in areas related to maneuvering around the physical environment, knowledge and problem solving, advocacy, and managing emotions, than in areas related to performing activities and behaving in social situations. Conclusion Two 1-hour WSTP sessions improves confidence with using a manual wheelchair among older adults, inexperienced with using a wheelchair. PMID:23385110
Circles of Women: Professional Skills Training with American Indian Women.

ERIC Educational Resources Information Center

LaFromboise, Teresa D.

This manual is a resource guide for organizing leadership training workshops for American Indian women at various levels of professional training. The resources and ideas for training were supplied by American Indian women who participated in such workshops. Section 1 of the manual presents an overview of critical issues in the professionalization…
Agricultural Development Workers Training Manual. Volume IV. Livestock.

ERIC Educational Resources Information Center

Bacon, Neil; And Others

This training manual, the last volume in a four-volume series for use in training Peace Corps workers, deals with livestock. The first chapter provides suggested guidelines for setting up and carrying out the livestock component of the agricultural development worker training course. Included in the second chapter are lesson plans covering the…
Agricultural Development Workers Training Manual. Volume III. Crops.

ERIC Educational Resources Information Center

Leonard, David; And Others

This training manual, the third volume in a four-volume series of curriculum guides for use in training Peace Corps agricultural development workers, deals with crops. The first chapter provides suggested guidelines for setting up and carrying out the crops component of the agricultural development worker training series. Included in the second…
Method of converting an existing vehicle powertrain to a hybrid powertrain system

DOEpatents

Reed, Jr., Richard G.; Boberg, Evan S.; Lawrie, Robert E.; Castaing, Francois J.

2001-12-25

A method of converting an existing vehicle powertrain including a manual transmission to a hybrid powertrain system with an automated powertrain transmission. The first step in the method of attaching a gear train housing to a housing of said manual transmission, said gear train housing receiving as end of drive shaft of said transmission and rotatably supporting a gear train assembly. Secondly, mounting an electric motor/generator to said gear train housing and attaching a motor/generator drive shaft of said electric motor/generator to said gear train assembly. Lastly, connecting an electro-mechanical clutch actuator to a friction clutch mechanism of said manual transmission.
Nosotras viviremos. Los consejos: Un manual de capacitacion para trabajar con madres latinas campesinas (A Capacity Building Training Manual for Working with Latina Farmworking Mothers and Mentors of Girls).

ERIC Educational Resources Information Center

Bolomey, Antonieta; Munoz-Lopez, Rosie; Ramirez-Garnica, Gabriela; Ramos, Flavia S.

This project builds organizational and staff capacity to deliver HIV/AIDS education to farmworking Hispanic female adolescents and women. It includes two training manuals, one addressing the issues of farmworking mothers/mentors, and one addressing the issues of preadolescent and adolescent farmworking girls. This manual for mothers contains…
Effects of hand-training in persons with myotonic dystrophy type 1--a randomised controlled cross-over pilot study.

PubMed

Aldehag, Anna; Jonsson, Hans; Lindblad, Jan; Kottorp, Anders; Ansved, Tor; Kierkegaard, Marie

2013-10-01

To investigate the effects of a hand-training programme on grip, pinch and wrist force, manual dexterity and activities of daily living, in adults with myotonic dystrophy type 1 (DM1). In this randomised controlled trial with a crossover design, 35 adults with DM1 were, after stratification for grip force, assigned by lot to two groups. Group A started with 12 weeks of hand training, while group B had no intervention. After a wash-out period of 12 weeks, where none received training, the order was reversed. The Grippit® was used as primary outcome measure and the hand-held Microfet2™ myometer, the Purdue Pegboard, the Canadian Occupational Performance Measure (COPM) and the Assessment of Motor and Process Skills (AMPS) were secondary outcome measures. Assessments were performed before and after training and control periods, i.e. four times altogether. Ten persons dropped out and 13 had acceptable adherence. Intention-to-treat analyses revealed significant intervention effects for isometric wrist flexor force (p = 0.048), and for COPM performance (p = 0.047) and satisfaction (p = 0.027). On an individual level, improvements were in general showed after a training period. The hand-training programme had positive effects on wrist flexor force and self-perception of occupational performance, and of satisfaction with performance. No evident detrimental effects were shown. Myotonic dystrophy type 1 (DM1) is a slowly progressive neuromuscular disease characterised by myotonia and muscle weakness and wasting. People with DM1 are often concerned about their ability to carry out ADL and to participate in, e.g. work, sports and hobbies when they gradually become weaker. This pilot study showed that a hand-training programme improved wrist flexor force and self-perception and satisfaction of occupational performance. Resistance training of hand muscles with a silicon-based putty can be a therapy option for people with DM1 in clinical practise.
A Training Manual for Nuclear Medicine Technologists.

ERIC Educational Resources Information Center

Simmons, Guy H.; Alexander, George W.

This manual was prepared for a training program in Nuclear Medicine Technology at the University of Cincinnati. Instructional materials for students enrolled in these courses in the training program include: Nuclear Physics and Instrumentation, Radionuclide Measurements, Radiation Protection, and Tracer Methodology and Radiopharmaceuticals. (CS)
Montana Bicyclist Training Program.

ERIC Educational Resources Information Center

DiBrito, Roger, Ed.; And Others

This guide is designed to train elementary students in the riding skills, hazard identification, and traffic analysis necessary for safe bicycling under nearly all urban traffic and roadway conditions. The training manual is divided into four sections. The Instructor's Manual presents brief introductions, background information, and detailed…
User-guided segmentation for volumetric retinal optical coherence tomography images

PubMed Central

Yin, Xin; Chao, Jennifer R.; Wang, Ruikang K.

2014-01-01

Abstract. Despite the existence of automatic segmentation techniques, trained graders still rely on manual segmentation to provide retinal layers and features from clinical optical coherence tomography (OCT) images for accurate measurements. To bridge the gap between this time-consuming need of manual segmentation and currently available automatic segmentation techniques, this paper proposes a user-guided segmentation method to perform the segmentation of retinal layers and features in OCT images. With this method, by interactively navigating three-dimensional (3-D) OCT images, the user first manually defines user-defined (or sketched) lines at regions where the retinal layers appear very irregular for which the automatic segmentation method often fails to provide satisfactory results. The algorithm is then guided by these sketched lines to trace the entire 3-D retinal layer and anatomical features by the use of novel layer and edge detectors that are based on robust likelihood estimation. The layer and edge boundaries are finally obtained to achieve segmentation. Segmentation of retinal layers in mouse and human OCT images demonstrates the reliability and efficiency of the proposed user-guided segmentation method. PMID:25147962
User-guided segmentation for volumetric retinal optical coherence tomography images.

PubMed

Yin, Xin; Chao, Jennifer R; Wang, Ruikang K

2014-08-01

Despite the existence of automatic segmentation techniques, trained graders still rely on manual segmentation to provide retinal layers and features from clinical optical coherence tomography (OCT) images for accurate measurements. To bridge the gap between this time-consuming need of manual segmentation and currently available automatic segmentation techniques, this paper proposes a user-guided segmentation method to perform the segmentation of retinal layers and features in OCT images. With this method, by interactively navigating three-dimensional (3-D) OCT images, the user first manually defines user-defined (or sketched) lines at regions where the retinal layers appear very irregular for which the automatic segmentation method often fails to provide satisfactory results. The algorithm is then guided by these sketched lines to trace the entire 3-D retinal layer and anatomical features by the use of novel layer and edge detectors that are based on robust likelihood estimation. The layer and edge boundaries are finally obtained to achieve segmentation. Segmentation of retinal layers in mouse and human OCT images demonstrates the reliability and efficiency of the proposed user-guided segmentation method.
Strength training alone, exercise therapy alone, and exercise therapy with passive manual mobilisation each reduce pain and disability in people with knee osteoarthritis: a systematic review.

PubMed

Jansen, Mariette J; Viechtbauer, Wolfgang; Lenssen, Antoine F; Hendriks, Erik J M; de Bie, Rob A

2011-01-01

What are the effects of strength training alone, exercise therapy alone, and exercise with additional passive manual mobilisation on pain and function in people with knee osteoarthritis compared to control? What are the effects of these interventions relative to each other? A meta-analysis of randomised controlled trials. Adults with osteoarthritis of the knee. INTERVENTION TYPES: Strength training alone, exercise therapy alone (combination of strength training with active range of motion exercises and aerobic activity), or exercise with additional passive manual mobilisation, versus any non-exercise control. Comparisons between the three interventions were also sought. The primary outcome measures were pain and physical function. 12 trials compared one of the interventions against control. The effect size on pain was 0.38 (95% CI 0.23 to 0.54) for strength training, 0.34 (95% CI 0.19 to 0.49) for exercise, and 0.69 (95% CI 0.42 to 0.96) for exercise plus manual mobilisation. Each intervention also improved physical function significantly. No randomised comparisons of the three interventions were identified. However, meta-regression indicated that exercise plus manual mobilisations improved pain significantly more than exercise alone (p = 0.03). The remaining comparisons between the three interventions for pain and physical function were not significant. Exercise therapy plus manual mobilisation showed a moderate effect size on pain compared to the small effect sizes for strength training or exercise therapy alone. To achieve better pain relief in patients with knee osteoarthritis physiotherapists or manual therapists might consider adding manual mobilisation to optimise supervised active exercise programs. Copyright © 2011 Australian Physiotherapy Association. Published by .. All rights reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)

Hoang Duc, Albert K., E-mail: albert.hoangduc.ucl@gmail.com; McClelland, Jamie; Modat, Marc

Purpose: The aim of this study was to assess whether clinically acceptable segmentations of organs at risk (OARs) in head and neck cancer can be obtained automatically and efficiently using the novel “similarity and truth estimation for propagated segmentations” (STEPS) compared to the traditional “simultaneous truth and performance level estimation” (STAPLE) algorithm. Methods: First, 6 OARs were contoured by 2 radiation oncologists in a dataset of 100 patients with head and neck cancer on planning computed tomography images. Each image in the dataset was then automatically segmented with STAPLE and STEPS using those manual contours. Dice similarity coefficient (DSC) wasmore » then used to compare the accuracy of these automatic methods. Second, in a blind experiment, three separate and distinct trained physicians graded manual and automatic segmentations into one of the following three grades: clinically acceptable as determined by universal delineation guidelines (grade A), reasonably acceptable for clinical practice upon manual editing (grade B), and not acceptable (grade C). Finally, STEPS segmentations graded B were selected and one of the physicians manually edited them to grade A. Editing time was recorded. Results: Significant improvements in DSC can be seen when using the STEPS algorithm on large structures such as the brainstem, spinal canal, and left/right parotid compared to the STAPLE algorithm (all p < 0.001). In addition, across all three trained physicians, manual and STEPS segmentation grades were not significantly different for the brainstem, spinal canal, parotid (right/left), and optic chiasm (all p > 0.100). In contrast, STEPS segmentation grades were lower for the eyes (p < 0.001). Across all OARs and all physicians, STEPS produced segmentations graded as well as manual contouring at a rate of 83%, giving a lower bound on this rate of 80% with 95% confidence. Reduction in manual interaction time was on average 61% and 93% when automatic segmentations did and did not, respectively, require manual editing. Conclusions: The STEPS algorithm showed better performance than the STAPLE algorithm in segmenting OARs for radiotherapy of the head and neck. It can automatically produce clinically acceptable segmentation of OARs, with results as relevant as manual contouring for the brainstem, spinal canal, the parotids (left/right), and optic chiasm. A substantial reduction in manual labor was achieved when using STEPS even when manual editing was necessary.« less

Automatic Detection of Whole Night Snoring Events Using Non-Contact Microphone

PubMed Central

Dafna, Eliran; Tarasiuk, Ariel; Zigel, Yaniv

2013-01-01

Objective Although awareness of sleep disorders is increasing, limited information is available on whole night detection of snoring. Our study aimed to develop and validate a robust, high performance, and sensitive whole-night snore detector based on non-contact technology. Design Sounds during polysomnography (PSG) were recorded using a directional condenser microphone placed 1 m above the bed. An AdaBoost classifier was trained and validated on manually labeled snoring and non-snoring acoustic events. Patients Sixty-seven subjects (age 52.5±13.5 years, BMI 30.8±4.7 kg/m2, m/f 40/27) referred for PSG for obstructive sleep apnea diagnoses were prospectively and consecutively recruited. Twenty-five subjects were used for the design study; the validation study was blindly performed on the remaining forty-two subjects. Measurements and Results To train the proposed sound detector, >76,600 acoustic episodes collected in the design study were manually classified by three scorers into snore and non-snore episodes (e.g., bedding noise, coughing, environmental). A feature selection process was applied to select the most discriminative features extracted from time and spectral domains. The average snore/non-snore detection rate (accuracy) for the design group was 98.4% based on a ten-fold cross-validation technique. When tested on the validation group, the average detection rate was 98.2% with sensitivity of 98.0% (snore as a snore) and specificity of 98.3% (noise as noise). Conclusions Audio-based features extracted from time and spectral domains can accurately discriminate between snore and non-snore acoustic events. This audio analysis approach enables detection and analysis of snoring sounds from a full night in order to produce quantified measures for objective follow-up of patients. PMID:24391903
Automatic detection of whole night snoring events using non-contact microphone.

PubMed

Dafna, Eliran; Tarasiuk, Ariel; Zigel, Yaniv

2013-01-01

Although awareness of sleep disorders is increasing, limited information is available on whole night detection of snoring. Our study aimed to develop and validate a robust, high performance, and sensitive whole-night snore detector based on non-contact technology. Sounds during polysomnography (PSG) were recorded using a directional condenser microphone placed 1 m above the bed. An AdaBoost classifier was trained and validated on manually labeled snoring and non-snoring acoustic events. Sixty-seven subjects (age 52.5 ± 13.5 years, BMI 30.8 ± 4.7 kg/m(2), m/f 40/27) referred for PSG for obstructive sleep apnea diagnoses were prospectively and consecutively recruited. Twenty-five subjects were used for the design study; the validation study was blindly performed on the remaining forty-two subjects. To train the proposed sound detector, >76,600 acoustic episodes collected in the design study were manually classified by three scorers into snore and non-snore episodes (e.g., bedding noise, coughing, environmental). A feature selection process was applied to select the most discriminative features extracted from time and spectral domains. The average snore/non-snore detection rate (accuracy) for the design group was 98.4% based on a ten-fold cross-validation technique. When tested on the validation group, the average detection rate was 98.2% with sensitivity of 98.0% (snore as a snore) and specificity of 98.3% (noise as noise). Audio-based features extracted from time and spectral domains can accurately discriminate between snore and non-snore acoustic events. This audio analysis approach enables detection and analysis of snoring sounds from a full night in order to produce quantified measures for objective follow-up of patients.
Training of support afferentation in postmenopausal women.

PubMed

Bazanova, O M; Kholodina, N V; Nikolenko, E D; Payet, J

2017-12-01

We have recently shown a diminishing of the Menopause Index in old-aged women who underwent special training directed at the enhancement of support afferentation by increasing the plantar forefoot sensitivity (Bazanova et al., 2015). Based on these results we hypothesized, that purposeful training of support afferentation through stimulation of plantar graviceptors by Aikido practice will decrease excessive postural and psychoemotional tension not only in rest condition, but during cognitive and manual task performance too. Fluency of cognitive and motor task performance, EEG alpha power as an index of neuronal efficiency of cognitive control, amount of alpha power suppression as a visual activation measure and EMG power of forehead muscles as a sign of psychoemotional tension were compared in three groups of post-menopausal women: i) 8years training with forefeet support afferentation with Aikido practice (A), ii) 8years fitness training (F) and iii) no dedicated fitness training for past 8years (N). Simultaneous stabilometry, EEG, and frontal EMG recording were performed in sitting and standing up position in eyes closed and eyes open condition. Recording done at rest and while performing cognitive and finger motor tasks. We compared studied parameters between groups with one- and two-way analyses of variance (ANOVAs) with Bonferroni correction for multiple comparisons, followed by post hoc two-tailed unpaired t-tests. The fluency of tasks performance, EMG and alpha-EEG-activity displayed similar values in all groups in a sitting position. Center of pressure (CoP) sway length, velocity and energy demands for saving balance increased when standing up, more in group N than in groups F and A (all contrasts p values<0.002, η 2 >0.89). Post hoc t-tests showed increased fluency in standing in both Aikido (p<0.01) and Fitness (p<0.05) subjects in relation to untrained subjects. Increasing fluency in motor task performance was in parallel with enhancing the EEG alpha-2-power and decreasing EMG power only in A group (η 2 >0.77). Fluency in motor task and alpha EEG power decreased, but frontal EMG power increased in response to standing in untrained women (group N) and did not change in F group. Post hoc t-tests showed that EEG amount of alpha-2 power suppression in response to visual activation and frontal EMG power was lower in A than F and N groups (p<0.004) during motor task performance in the standing position. These results were interpreted as showing that training of forefoot plantar surface sensitivity in postmenopausal women decreases levels of psychoemotional tension and increases cognitive control caused by the psychomotor and postural challenges. Thus, Aikido training aimed at learning coordination between manual task performance and balance control by increasing the plantar support zones sensation decreases the cost of maintained vertical position and dependence of motor coordination on visual contribution. Copyright © 2017 Elsevier B.V. All rights reserved.
Identification of Technology Terms in Patents (Open Access, Published Version)

DTIC Science & Technology

2014-05-31

large set of human anno - tated examples of the target class(es) along with their tex- tual contexts to serve as training examples for generating a machine...perform the equiva- lent function in German and Chinese. 2.2. Manual annotation of terms Supervised learning requires a gold set of manually anno ...Npr, prev Jpr, prev J ). These were intended to capture, for ex- ample, the verb (and any prepositions/articles) for which the term is the object. prev
An Analytic Training Effectiveness Analysis for a CTEA Update

DTIC Science & Technology

1977-11-01

minutes to insert a fault in the crtual harduare and an additional 5 minut(,s to remove the fault. This manual insertion of f,iults, therefore, will cut an...organizatioual mu Inten;4 nce m4n.for tle potrfo’ in.ý;e of hi 1 t ,ksx. Thus, feedlark would hatve to be piovil,,d by an Instrutor ohb.-erving ,v,.ry...use Information regarding problem parameters and student performance (time, errors). The problems in handling this such data manually are such that
Recognition of genetically modified product based on affinity propagation clustering and terahertz spectroscopy

NASA Astrophysics Data System (ADS)

Liu, Jianjun; Kan, Jianquan

2018-04-01

In this paper, based on the terahertz spectrum, a new identification method of genetically modified material by support vector machine (SVM) based on affinity propagation clustering is proposed. This algorithm mainly uses affinity propagation clustering algorithm to make cluster analysis and labeling on unlabeled training samples, and in the iterative process, the existing SVM training data are continuously updated, when establishing the identification model, it does not need to manually label the training samples, thus, the error caused by the human labeled samples is reduced, and the identification accuracy of the model is greatly improved.
Using transfer learning to detect galaxy mergers

NASA Astrophysics Data System (ADS)

Ackermann, Sandro; Schawinksi, Kevin; Zhang, Ce; Weigel, Anna K.; Turp, M. Dennis

2018-05-01

We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detection of galaxy mergers. Moreover, we investigate the use of transfer learning in conjunction with CNNs, by retraining networks first trained on pictures of everyday objects. We test the hypothesis that transfer learning is useful for improving classification performance for small training sets. This would make transfer learning useful for finding rare objects in astronomical imaging datasets. We find that these deep learning methods perform significantly better than current state-of-the-art merger detection methods based on nonparametric systems like CAS and GM20. Our method is end-to-end and robust to image noise and distortions; it can be applied directly without image preprocessing. We also find that transfer learning can act as a regulariser in some cases, leading to better overall classification accuracy (p = 0.02). Transfer learning on our full training set leads to a lowered error rate from 0.0381 down to 0.0321, a relative improvement of 15%. Finally, we perform a basic sanity-check by creating a merger sample with our method, and comparing with an already existing, manually created merger catalogue in terms of colour-mass distribution and stellar mass function.
ConcreteWorks v3 training/user manual (P1) : ConcreteWorks software (P2).

DOT National Transportation Integrated Search

2017-04-01

ConcreteWorks is designed to be a user-friendly software package that can help concrete : professionals optimize concrete mixture proportioning, perform a concrete thermal analysis, and : increase the chloride diffusion service life. The software pac...
Observer Training Manual for the Changing Teacher Practice Study. Revised Manual.

ERIC Educational Resources Information Center

Barnes, Susan

This observer training manual was developed as a central component of a research effort, Changing Teacher Practice (CTP), which was designed to increase the frequency of effective teaching behaviors and staff development strategies in an ongoing school system. The observations focused on two major aspects of classroom teaching--instruction and…
Nosotras viviremos. Las destrezas: A Capacity Building Training Manual for Working with Latina Farmworking Youth.

ERIC Educational Resources Information Center

Bolomey, Antonieta; Munoz-Lopez, Rosie; Ramirez-Garnica, Gabriela; Ramos, Flavia S.

This project builds organizational and staff capacity to deliver HIV/AIDS education to farmworking Hispanic female adolescents and women. It includes two training manuals, one addressing the issues of farmworking mothers/mentors, and one addressing the issues of preadolescent and adolescent farmworking girls. This manual for girls emphasizes…
Manual of Standards for Juvenile Training Schools and Services.

ERIC Educational Resources Information Center

Commission on Accreditation for Corrections, Rockville, MD.

This manual of standards for juvenile training schools and services contains 487 American Correctional Association standards for the accreditation of juvenile training schools (youth development centers, villages, correction centers, treatment centers, service centers, homes for boys and girls, camps, and ranches). Standards presented are…
Airport Performance Model : Volume 2 - User's Manual and Program Documentation

DOT National Transportation Integrated Search

1978-10-01

Volume II contains a User's manual and program documentation for the Airport Performance Model. This computer-based model is written in FORTRAN IV for the DEC-10. The user's manual describes the user inputs to the interactive program and gives sample...
Domestic Rodent Control Training Manual: A Training Aid for the Rodent Control Category for Certification of Pesticide Applicators.

ERIC Educational Resources Information Center

Childress, William R., Jr.; And Others

This training manual, designed for training applicants who wish to obtain certification in pesticide application relative to rodent control, covers the following topics: economic factors, public health factors, biological characteristics of domestic rodents, rat and mouse signs, trapping, repellents, poisons, baits, poisoned water, dumps, sewers,…
Multimodal Neuroelectric Interface Development

NASA Technical Reports Server (NTRS)

Trejo, Leonard J.; Wheeler, Kevin R.; Jorgensen, Charles C.; Totah, Joseph (Technical Monitor)

2001-01-01

This project aims to improve performance of NASA missions by developing multimodal neuroelectric technologies for augmented human-system interaction. Neuroelectric technologies will add completely new modes of interaction that operate in parallel with keyboards, speech, or other manual controls, thereby increasing the bandwidth of human-system interaction. We recently demonstrated the feasibility of real-time electromyographic (EMG) pattern recognition for a direct neuroelectric human-computer interface. We recorded EMG signals from an elastic sleeve with dry electrodes, while a human subject performed a range of discrete gestures. A machine-teaming algorithm was trained to recognize the EMG patterns associated with the gestures and map them to control signals. Successful applications now include piloting two Class 4 aircraft simulations (F-15 and 757) and entering data with a "virtual" numeric keyboard. Current research focuses on on-line adaptation of EMG sensing and processing and recognition of continuous gestures. We are also extending this on-line pattern recognition methodology to electroencephalographic (EEG) signals. This will allow us to bypass muscle activity and draw control signals directly from the human brain. Our system can reliably detect P-rhythm (a periodic EEG signal from motor cortex in the 10 Hz range) with a lightweight headset containing saline-soaked sponge electrodes. The data show that EEG p-rhythm can be modulated by real and imaginary motions. Current research focuses on using biofeedback to train of human subjects to modulate EEG rhythms on demand, and to examine interactions of EEG-based control with EMG-based and manual control. Viewgraphs on these neuroelectric technologies are also included.
The effect of a motor skills training program in the improvement of practiced and non-practiced tasks performance in children with developmental coordination disorder (DCD).

PubMed

Farhat, Faiçal; Hsairi, Ines; Baati, Hamza; Smits-Engelsman, B C M; Masmoudi, Kaouthar; Mchirgui, Radhouane; Triki, Chahnez; Moalla, Wassim

2016-04-01

The purpose of the present study was to examine the effect of a group-based task oriented skills training program on motor and physical ability for children with DCD. It was also investigated if there was an effect on fine motor and handwriting tasks that were not specifically practiced during the training program. Forty-one children aged 6-10years took part in this study. Children were assigned to three groups: an experimental training group consisting of 14 children with DCD, a control non-training group consisted of 13 children with DCD and a control non-training group consisting of 14 typically developed children. The measurements included were, the Movement Assessment Battery for Children (MABC), the Modified Agility Test (MAT), the Triple Hop Distance (THD), the 5 Jump-test (5JT) and the Handwriting Performance Test. All measures were administered pre and post an 8-week training program. The results showed that 10 children of the DCD training-group improved their performance in MABC test, attaining a score above the 15th percentile after their participation in the training program. DCD training-group showed a significant improvement on all cluster scores (manual dexterity (t (13)=5.3, p<.001), ball skills (t (13)=2.73, p<.05) and balance (t (13)=5.13, p<.001). Significant performance improvements were also found in MAT, THD, 5JT (t (13)=-4.55; p<.01), handwriting quality (t (12)=-2.73; p<.05) and speed (t (12)=-4.2; p<.01) after the training program. In conclusion, improvement in both practiced and non-practiced skills, in the training program, may reflect improvement in motor skill but also transfer to other skills. Copyright © 2015 Elsevier B.V. All rights reserved.
--No Title--

Science.gov Websites

Search Search Home SH Reference Manual E19 Documentation Program Management Training/Drills Other River and Lake Summary (RVD) SH Reference Manual, E-19 Docs, Program Management, Training/Drills, Other
Predicting the language proficiency of Chinese student pilots within American airspace: Single-task versus dual-task English-language assessment

NASA Astrophysics Data System (ADS)

Noble, Clifford Elliott, II

2002-09-01

The problem. The purpose of this study was to investigate the ability of three single-task instruments---(a) the Test of English as a Foreign Language, (b) the Aviation Test of Spoken English, and (c) the Single Manual-Tracking Test---and three dual-task instruments---(a) the Concurrent Manual-Tracking and Communication Test, (b) the Certified Flight Instructor's Test, and (c) the Simulation-Based English Test---to predict the language performance of 10 Chinese student pilots speaking English as a second language when operating single-engine and multiengine aircraft within American airspace. Method. This research implemented a correlational design to investigate the ability of the six described instruments to predict the mean score of the criterion evaluation, which was the Examiner's Test. This test assessed the oral communication skill of student pilots on the flight portion of the terminal checkride in the Piper Cadet, Piper Seminole, and Beechcraft King Air airplanes. Results. Data from the Single Manual-Tracking Test, as well as the Concurrent Manual-Tracking and Communication Test, were discarded due to performance ceiling effects. Hypothesis 1, which stated that the average correlation between the mean scores of the dual-task evaluations and that of the Examiner's Test would predict the mean score of the criterion evaluation with a greater degree of accuracy than that of single-task evaluations, was not supported. Hypothesis 2, which stated that the correlation between the mean scores of the participants on the Simulation-Based English Test and the Examiner's Test would predict the mean score of the criterion evaluation with a greater degree of accuracy than that of all single- and dual-task evaluations, was also not supported. The findings suggest that single- and dual-task assessments administered after initial flight training are equivalent predictors of language performance when piloting single-engine and multiengine aircraft.
Building Parts Inventory Files Using the AppleWorks Data Base Subprogram and Apple IIe or GS Computers.

ERIC Educational Resources Information Center

Schlenker, Richard M.

This manual is a "how to" training device for building database files using the AppleWorks program with an Apple IIe or Apple IIGS Computer with Duodisk or two disk drives and an 80-column card. The manual provides step-by-step directions, and includes 25 figures depicting the computer screen at the various stages of the database file…
Haptic Guidance Improves the Visuo-Manual Tracking of Trajectories

PubMed Central

Bluteau, Jérémy; Coquillart, Sabine; Payan, Yohan; Gentaz, Edouard

2008-01-01

Background Learning to perform new movements is usually achieved by following visual demonstrations. Haptic guidance by a force feedback device is a recent and original technology which provides additional proprioceptive cues during visuo-motor learning tasks. The effects of two types of haptic guidances-control in position (HGP) or in force (HGF)–on visuo-manual tracking (“following”) of trajectories are still under debate. Methodology/Principals Findings Three training techniques of haptic guidance (HGP, HGF or control condition, NHG, without haptic guidance) were evaluated in two experiments. Movements produced by adults were assessed in terms of shapes (dynamic time warping) and kinematics criteria (number of velocity peaks and mean velocity) before and after the training sessions. Trajectories consisted of two Arabic and two Japanese-inspired letters in Experiment 1 and ellipses in Experiment 2. We observed that the use of HGF globally improves the fluency of the visuo-manual tracking of trajectories while no significant improvement was found for HGP or NHG. Conclusion/Significance These results show that the addition of haptic information, probably encoded in force coordinates, play a crucial role on the visuo-manual tracking of new trajectories. PMID:18335049
Opticalman 1 and C, Rate Training Manual.

ERIC Educational Resources Information Center

Naval Personnel Program Support Activity, Washington, DC.

The technical subject matter of this rate training manual is written for regular navy and naval reserve personnel. Responsibilities for optical shop administration, supervision, and training are discussed in detail. Metals are studied in connection with heat treating processes. Characteristics of light are analyzed to familiarize students with…

Expanding Vocational Horizons--A Training Manual for Pre-Service Counselors.

ERIC Educational Resources Information Center

Indiana Univ., Bloomington. Dept. of Counseling and Guidance.

Intending to offer an innovative approach to preservice training of school counselors, this training manual follows a developmental process which includes activities (primarily interaction exercises) whose purpose is to raise trainee awareness, challenge and revise trainee attitudes while encouraging understanding of the attitudes of adolescent…
Does training on performance based financing make a difference in performance and quality of health care delivery? Health care provider's perspective in Rungwe Tanzania.

PubMed

Manongi, Rachel; Mushi, Declare; Kessy, Joachim; Salome, Saria; Njau, Bernard

2014-04-04

In recent years, Performance Based Financing (PBF); a form of result based financing, has attracted a global attention in health systems in developing countries. PBF promotes autonomous health facilities, motivates and introduces financial incentives to motivate health facilities and health workers to attain pre-determined targets. To achieve this, the Tanzanian government through the Christian Social Services Commission initiated a PBF pilot project in Rungwe district, Mbeya region. Kilimanjaro Christian Medical Center was given the role of training health workers on PBF principles in Rungwe. The aim of this study was to explore health care providers' perception on a three years training on PBF principles in a PBF pilot project at Rungwe District in Mbeya, Tanzania. This was an explorative qualitative study, which took place at Rungwe PBF pilot area in October 2012. Twenty six (26) participants were purposively selected. Six took part in- depth interviews (IDIs) and twenty (20) in the group discussions. Both the IDIs and the GDs explored the perceived benefit and challenges of implementing PBF in their workplace. Data were manually analyzed using content analysis approach. Overall informants had positive perspectives on PBF training. Most of the health facilities were able to implement some of the PBF concepts in their work places after the training, such as developing job descriptions for their staff, creating quarterly business plans for their facilities, costing for their services and entering service agreement with the government, improved record keeping, customer care and involving community as partners in running their facilities. The most common principle of paying individual performance bonuses was mentioned as a major challenge due to inadequate funding and poor design of Rungwe PBF pilot project. Despite poor design and inadequate funding, our findings have shown some promising results after PBF training in the study area. The findings have highlighted the potential of PBF to act as leverage for initiating innovative and proactive actions, which may motivate health personnel performance and quality of care in the study setting with minimal support. However, key policy issues at the national level should be addressed in order to exploit this opportunity.
An Assessment System for Competence Based Education: The Educational Development, Dissemination, and Evaluation Training Program.

ERIC Educational Resources Information Center

Hood, Paul D.; Blackwell, Laird

This manual provides a description of the development and a guide to the use of the assessment resources developed in connection with the Far West Development, Dissemination, and Evaluation (DD&E) Functional Competence Training Program. The document concentrates on a user-oriented description of the content, validation, and use of the final…
A Development of Participation of Primary School Students in Conservation of School Environments

ERIC Educational Resources Information Center

Klongyut, Somsak; Singseewo, Adisak; Suksringarm, Paitool

2015-01-01

This study aimed to investigate and compare knowledge, attitudes and participating behaviors of students who participated in a training session. A training manual based on the participatory process was used. The sample consisted of 30 grade 5 students and 30 grade 6 students using a voluntary sampling technique. Research instruments included 1) a…
Income Generation and Money Management: Training Women as Entrepreneurs.

ERIC Educational Resources Information Center

Reed, Sheila

Based on a workshop in Gambia in 1989, this manual was developed to help Peace Corps workers to develop training techniques for teaching women to run businesses producing and selling local products and to manage money. Topics covered include the following: (1) the role of the facilitator in adult learning; (2) problems women face in controlling…
Door detection in images based on learning by components

NASA Astrophysics Data System (ADS)

Cicirelli, Grazia; D'Orazio, Tiziana; Ancona, Nicola

2001-10-01

In this paper we present a vision-based technique for detecting targets of the environment which has to be reached by an autonomous mobile robot during its navigational task. The targets the robot has to reach are the doors of our office building. Color and shape information are used as identifying features for detecting principal components of the door. In fact in images the door can appear of different dimensions depending on the attitude of the robot with respect to the door, therefore detection of the door is performed by detecting its most significant components in the image. Positive and negative examples, in form of image patterns, are manually selected from real images for training two neural classifiers in order to recognize the single components. Each classifier has been realized by a feed-forward neural network with one hidden layer and sigmoid activation function. Moreover for selecting negative examples, relevant for the problem at hand, a bootstrap technique has been used during the training process. Finally the detecting system has been applied to several test real images for evaluating its performance.
Chemical Dependency and Violence: Working with Dually Affected Families. A Cross-Training Program Manual for Counselors and Advocates.

ERIC Educational Resources Information Center

Wright, Janet M.

This manual is designed as a cross-training program guide for counselors working in the fields of woman abuse and chemical dependency. (A cross-training program is a system for one (or more) agency personnel to train each other in their respective areas of expertise.) Chapter 1 discusses the rationale and goals of a cross-training program; issues…
Training Manual for Elements of Interface Definition and Control

NASA Technical Reports Server (NTRS)

Lalli, Vincent R. (Editor); Kastner, Robert E. (Editor); Hartt, Henry N. (Editor)

1997-01-01

The primary thrust of this manual is to ensure that the format and information needed to control interfaces between equipment are clear and understandable. The emphasis is on controlling the engineering design of the interface and not on the functional performance requirements of the system or the internal workings of the interfacing equipment. Interface control should take place, with rare exception, at the interfacing elements and no further. There are two essential sections of the manual. Chapter 2, Principles of Interface Control, discusses how interfaces are defined. It describes different types of interfaces to be considered and recommends a format for the documentation necessary for adequate interface control. Chapter 3, The Process: Through the Design Phases, provides tailored guidance for interface definition and control. This manual can be used to improve planned or existing interface control processes during system design and development. It can also be used to refresh and update the corporate knowledge base. The information presented herein will reduce the amount of paper and data required in interface definition and control processes by as much as 50 percent and will shorten the time required to prepare an interface control document. It also highlights the essential technical parameters that ensure that flight subsystems will indeed fit together and function as intended after assembly and checkout.
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

PubMed

Ross, Tobias; Zimmerer, David; Vemuri, Anant; Isensee, Fabian; Wiesenfarth, Manuel; Bodenstedt, Sebastian; Both, Fabian; Kessler, Philip; Wagner, Martin; Müller, Beat; Kenngott, Hannes; Speidel, Stefanie; Kopp-Schneider, Annette; Maier-Hein, Klaus; Maier-Hein, Lena

2018-06-01

Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of deep learning-based solutions for automatic image annotation, the availability of reference annotations for algorithm training is becoming a major bottleneck in the field. The purpose of this paper was to investigate the concept of self-supervised learning to address this issue. Our approach is guided by the hypothesis that unlabeled video data can be used to learn a representation of the target domain that boosts the performance of state-of-the-art machine learning algorithms when used for pre-training. Core of the method is an auxiliary task based on raw endoscopic video data of the target domain that is used to initialize the convolutional neural network (CNN) for the target task. In this paper, we propose the re-colorization of medical images with a conditional generative adversarial network (cGAN)-based architecture as auxiliary task. A variant of the method involves a second pre-training step based on labeled data for the target task from a related domain. We validate both variants using medical instrument segmentation as target task. The proposed approach can be used to radically reduce the manual annotation effort involved in training CNNs. Compared to the baseline approach of generating annotated data from scratch, our method decreases exploratively the number of labeled images by up to 75% without sacrificing performance. Our method also outperforms alternative methods for CNN pre-training, such as pre-training on publicly available non-medical (COCO) or medical data (MICCAI EndoVis2017 challenge) using the target task (in this instance: segmentation). As it makes efficient use of available (non-)public and (un-)labeled data, the approach has the potential to become a valuable tool for CNN (pre-)training.
Fireman: Naval Rate Training Manual and Nonresident Career Course.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The Rate Training Manual and the Nonresident Career Course (RTM/NRCC) was prepared to assist the fireman apprentice to qualify and to advance to fireman in the Navy. The manual is designed for individual study and provides subject matter that relates directly to the occupational qualifications of the fireman rating. Fireman is one of the lower…
Nosotras viviremos. Los consejos: A Capacity Building Training Manual for Working with Latina Farmworking Mothers and Mentors of Girls.

ERIC Educational Resources Information Center

Bolomey, Antonieta; Munoz-Lopez, Rosie; Ramirez-Garnica, Gabriela; Ramos, Flavia S.

This project builds organizational and staff capacity to deliver HIV/AIDS education to farmworking Hispanic female adolescents and women. It includes two training manuals, one addressing the issues of farmworking mothers/mentors, and one addressing the issues of preadolescent and adolescent farmworking girls. This manual for mothers contains…
Healthy Connections. A Training Program for Volunteers Working with At-Risk Pregnant Women. Leader's Manual.

ERIC Educational Resources Information Center

Harris, Carolyn DeMeyer; McKinney, David D., Ed.

This leader's manual, keyed to an accompanying videotape, contains step-by-step instructions for conducting a training session for volunteers who are preparing to work with young unmarried pregnant women. The manual, which includes transparency masters of handouts, is laid out with the outside column of each page containing instructions to the…
Intake Interview Skills for Rehabilitation Counselors: A Typescript Manual. Advanced Facilitative Case Management Series, Training Package I.

ERIC Educational Resources Information Center

Rubin, Stanford E.; Farley, Roy C.

This guide is the case study manual for the first in a series of instructor-assisted training modules for rehabilitation counselors, supervisors, and graduate students. This typescript manual for the first module focuses on basic intake interviewing skills consisting of: (1) systematic interview programming including attracting, planning and…
Boating Safety Training Manual.

ERIC Educational Resources Information Center

Coast Guard, Washington, DC.

The training manual serves as the text for the Coast Guard's boating safety 32-hour course and for the D-8 Qualification Code Recertification Course. The manual is designed for self-study or for use with an instructor-led course. Each chapter concludes with a quiz to be used as a review of chaper content. Opening chapters review the use of the…
Deaf Leadership Training for Community Interaction. A Manual for "Grassroots" Leadership.

ERIC Educational Resources Information Center

Petersen, Eugene W., Ed.

This manual is the outgrowth of a workshop sponsored by the National Association of the Deaf in 1969 to develop guidelines on deaf leadership training for community interaction. The manual contains: (1) "A Welcome and a Challenge" by Robert L. Lankenau; (2) "The Critical Need for Leadership" by Don G. Pettingill; (3) "The National Census--A…
Boatswain's Mate F1 and C: Naval Rate Training Manual.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The Rate Training Manual and Nonresident Career Course (RTM/NRCC) form a self-study package that enables Aviation Boatswain's Mate F to fulfill the requirements for advancement to ABF1 and the ABF1 for advancement to the rank of ABFC. In preparing for advancement examinations, the manual should be studied in conjunction with Military Requirements…
Step-by-Step Visual Manuals: Design and Development

ERIC Educational Resources Information Center

Urata, Toshiyuki

2004-01-01

The types of handouts and manuals that are used in technology training vary. Some describe procedures in a narrative way without graphics; some employ step-by-step instructions with screen captures. According to Thirlway (1994), a training manual should be like a tutor that permits a student to learn at his own pace and gives him confidence for…
Multilingual Twitter Sentiment Classification: The Role of Human Annotators

PubMed Central

Mozetič, Igor; Grčar, Miha; Smailović, Jasmina

2016-01-01

What are the limits of automated Twitter sentiment classification? We analyze a large set of manually labeled tweets in different languages, use them as training data, and construct automated classification models. It turns out that the quality of classification models depends much more on the quality and size of training data than on the type of the model trained. Experimental results indicate that there is no statistically significant difference between the performance of the top classification models. We quantify the quality of training data by applying various annotator agreement measures, and identify the weakest points of different datasets. We show that the model performance approaches the inter-annotator agreement when the size of the training set is sufficiently large. However, it is crucial to regularly monitor the self- and inter-annotator agreements since this improves the training datasets and consequently the model performance. Finally, we show that there is strong evidence that humans perceive the sentiment classes (negative, neutral, and positive) as ordered. PMID:27149621
Feasibility of the Enhancing Participation In the Community by improving Wheelchair Skills (EPIC Wheels) program: study protocol for a randomized controlled trial.

PubMed

Giesbrecht, Edward M; Miller, William C; Eng, Janice J; Mitchell, Ian M; Woodgate, Roberta L; Goldsmith, Charles H

2013-10-24

Many older adults rely on a manual wheelchair for mobility but typically receive little, if any, training on how to use their wheelchair effectively and independently. Standardized skill training is an effective intervention, but limited access to clinician trainers is a substantive barrier. Enhancing Participation in the Community by Improving Wheelchair Skills (EPIC Wheels) is a 1-month monitored home training program for improving mobility skills in older novice manual wheelchair users, integrating principles from andragogy and social cognitive theory. The purpose of this study is to determine whether feasibility indicators and primary clinical outcome measures of the EPIC Wheels program are sufficiently robust to justify conducting a subsequent multi-site randomized controlled trial. A 2 × 2 factorial randomized controlled trial at two sites will compare improvement in wheelchair mobility skills between an EPIC Wheels treatment group and a computer-game control group, with additional wheelchair use introduced as a second factor. A total of 40 community-dwelling manual wheelchair users at least 55 years old and living in two Canadian metropolitan cities (n = 20 × 2) will be recruited. Feasibility indicators related to study process, resources, management, and treatment issues will be collected during data collection and at the end of the study period, and evaluated against proposed criteria. Clinical outcome measures will be collected at baseline (pre-randomization) and post-intervention. The primary clinical outcome measure is wheelchair skill capacity, as determined by the Wheelchair Skills Test, version 4.1. Secondary clinical outcome measures include wheelchair skill safety, satisfaction with performance, wheelchair confidence, life-space mobility, divided-attention, and health-related quality of life. The EPIC Wheels training program offers several innovative features. The convenient, portable, economical, and adaptable tablet-based, home program model for wheelchair skills training has great potential for clinical uptake and opportunity for future enhancements. Theory-driven design can foster learning and adherence for older adults. Establishing the feasibility of the study protocol and estimating effect size for the primary clinical outcome measure will be used to develop a multi-site randomized controlled trial to test the guiding hypotheses. Clinical Trials NCT01740635.
Teaching home safety and survival skills to latch-key children: a comparison of two manuals and methods.

PubMed Central

Peterson, L

1984-01-01

I evaluated the influence of two training manuals on latch-key children's acquisition of home safety and survival skills. The widely used, discussion-oriented "Prepared for Today" manual was compared with a behaviorally oriented "Safe at Home" manual. Data were scored by response criteria developed by experts and by parents' and experts' ratings of children's spontaneous answers. With both methods of scoring, three behaviorally trained children demonstrated clear and abrupt increases in skill following training in each of seven trained modules, and these increases largely persisted in real world generalization probes and at 5-month follow-up. Smaller and less stable increases in skill were found in the three discussion-trained children across the seven modules; lower skill levels were also seen in real world generalization probes and at follow-up. Neither group of children demonstrated skill increases in home safety areas that were not explicitly trained. Both training methods produced small decreases in children's self-report of general anxiety and anxiety concerning home safety. Results are discussed in terms of their implications for cost-effective training of latch-key children. PMID:6511698

Aerographers Mate 1 & C: Rate Training Manual.

ERIC Educational Resources Information Center

Naval Training Command, Pensacola, FL.

One of the series for enlisted Navy and Naval Reserve personnel, the training manual prepares students for advancement within their rating, aids in on-the-job training, or serves as a review source. Charts, graphs, tables, maps, and illustrations supplement detailed text covering atmospheric physics and world climatology, air masses, circulation,…
The Job Training and Job Satisfaction Survey Technical Manual

ERIC Educational Resources Information Center

Schmidt, Steven W.

2004-01-01

Job training has become an important aspect of an employee's overall job experience. However, it is not often called out specifically on instruments measuring job satisfaction. This technical manual details the processes used in the development and validation of a survey instrument to measure job training satisfaction and overall job…
Body-Machine Interfaces after Spinal Cord Injury: Rehabilitation and Brain Plasticity.

PubMed

Seáñez-González, Ismael; Pierella, Camilla; Farshchiansadegh, Ali; Thorp, Elias B; Wang, Xue; Parrish, Todd; Mussa-Ivaldi, Ferdinando A

2016-12-19

The purpose of this study was to identify rehabilitative effects and changes in white matter microstructure in people with high-level spinal cord injury following bilateral upper-extremity motor skill training. Five subjects with high-level (C5-C6) spinal cord injury (SCI) performed five visuo-spatial motor training tasks over 12 sessions (2-3 sessions per week). Subjects controlled a two-dimensional cursor with bilateral simultaneous movements of the shoulders using a non-invasive inertial measurement unit-based body-machine interface. Subjects' upper-body ability was evaluated before the start, in the middle and a day after the completion of training. MR imaging data were acquired before the start and within two days of the completion of training. Subjects learned to use upper-body movements that survived the injury to control the body-machine interface and improved their performance with practice. Motor training increased Manual Muscle Test scores and the isometric force of subjects' shoulders and upper arms. Moreover, motor training increased fractional anisotropy (FA) values in the cingulum of the left hemisphere by 6.02% on average, indicating localized white matter microstructure changes induced by activity-dependent modulation of axon diameter, myelin thickness or axon number. This body-machine interface may serve as a platform to develop a new generation of assistive-rehabilitative devices that promote the use of, and that re-strengthen, the motor and sensory functions that survived the injury.
Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation.

PubMed

Song, Jingkuan; Gao, Lianli; Nie, Feiping; Shen, Heng Tao; Yan, Yan; Sebe, Nicu

2016-11-01

In multimedia annotation, due to the time constraints and the tediousness of manual tagging, it is quite common to utilize both tagged and untagged data to improve the performance of supervised learning when only limited tagged training data are available. This is often done by adding a geometry-based regularization term in the objective function of a supervised learning model. In this case, a similarity graph is indispensable to exploit the geometrical relationships among the training data points, and the graph construction scheme essentially determines the performance of these graph-based learning algorithms. However, most of the existing works construct the graph empirically and are usually based on a single feature without using the label information. In this paper, we propose a semi-supervised annotation approach by learning an optimized graph (OGL) from multi-cues (i.e., partial tags and multiple features), which can more accurately embed the relationships among the data points. Since OGL is a transductive method and cannot deal with novel data points, we further extend our model to address the out-of-sample issue. Extensive experiments on image and video annotation show the consistent superiority of OGL over the state-of-the-art methods.
The design and implementation of an automated system for logging clinical experiences using an anesthesia information management system.

PubMed

Simpao, Allan; Heitz, James W; McNulty, Stephen E; Chekemian, Beth; Brenn, B Randall; Epstein, Richard H

2011-02-01

Residents in anesthesia training programs throughout the world are required to document their clinical cases to help ensure that they receive adequate training. Current systems involve self-reporting, are subject to delayed updates and misreported data, and do not provide a practicable method of validation. Anesthesia information management systems (AIMS) are being used increasingly in training programs and are a logical source for verifiable documentation. We hypothesized that case logs generated automatically from an AIMS would be sufficiently accurate to replace the current manual process. We based our analysis on the data reporting requirements of the American College of Graduate Medical Education (ACGME). We conducted a systematic review of ACGME requirements and our AIMS record, and made modifications after identifying data element and attribution issues. We studied 2 methods (parsing of free text procedure descriptions and CPT4 procedure code mapping) to automatically determine ACGME case categories and generated AIMS-based case logs and compared these to assignments made by manual inspection of the anesthesia records. We also assessed under- and overreporting of cases entered manually by our residents into the ACGME website. The parsing and mapping methods assigned cases to a majority of the ACGME categories with accuracies of 95% and 97%, respectively, as compared with determinations made by 2 residents and 1 attending who manually reviewed all procedure descriptions. Comparison of AIMS-based case logs with reports from the ACGME Resident Case Log System website showed that >50% of residents either underreported or overreported their total case counts by at least 5%. The AIMS database is a source of contemporaneous documentation of resident experience that can be queried to generate valid, verifiable case logs. The extent of AIMS adoption by academic anesthesia departments should encourage accreditation organizations to support uploading of AIMS-based case log files to improve accuracy and to decrease the clerical burden on anesthesia residents.
Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning.

PubMed

Adal, Kedir M; Sidibé, Désiré; Ali, Sharib; Chaum, Edward; Karnowski, Thomas P; Mériaudeau, Fabrice

2014-04-01

Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier which can detect true MAs. The developed system is built using only few manually labeled and a large number of unlabeled retinal color fundus images. The performance of the overall system is evaluated on Retinopathy Online Challenge (ROC) competition database. A competition performance measure (CPM) of 0.364 shows the competitiveness of the proposed system against state-of-the art techniques as well as the applicability of the proposed features to analyze fundus images. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
Effects of Task-oriented Approach on Affected Arm Function in Children with Spastic Hemiplegia Due to Cerebral Palsy.

PubMed

Song, Chiang-Soon

2014-06-01

[Purpose] The purpose of the present study was to examine the effects of task-oriented approach on motor function of the affected arm in children with spastic hemiplegia due to cerebral palsy. [Subjects] Twelve children were recruited by convenience sampling from 2 local rehabilitation centers. The present study utilized a one-group pretest-posttest design. All of children received task-oriented training for 6 weeks (40 min/day, 5 days/week) and also underwent regular occupational therapy. Three clinical tests, Box and Block Test (BBT), Manual Ability Measure (MAM-16), and Wee Functional Independence Measure (WeeFIM) were performed 1 day before and after training to evaluate the effects of the training. [Results] Compared with the pretest scores, there was a significant increase in the BBT, MAM-16, and WeeFIM scores of the children after the 6-week practice period. [Conclusion] The results of this study suggest that a task-oriented approach to treatment of the affected arm improves functional activities, such as manual dexterity and fine motor performance, as well as basic daily activities of patients with spastic hemiplegia due to cerebral palsy.
Naming and Categorization in Young Children: V. Manual Sign Training

ERIC Educational Resources Information Center

Horne, Pauline J.; Lowe, C. Fergus; Harris, Fay D. A.

2007-01-01

Following pre-training with everyday objects, 8 children aged from 2 to 4 years learned to produce one manual sign (fists placed one above the other, in front of body) to one stimulus and an alternative manual sign (shoulders touched with ipsilateral hands) to the other stimulus, with each of three pairs of different arbitrary wooden shapes (Set…
Tribal Library Procedures Manual. TRAILS (Training and Assistance for Indian Library Services), September 10, 1985-January 10, 1987.

ERIC Educational Resources Information Center

Patterson, Lotsee

This manual resulted from a 2-year project to improve, develop, and expand public library and information services to American Indians and Alaska Natives. Designed to serve as a guide for tribal and community librarians who may lack professional training, the manual offers descriptions of library services, procedures, and management issues. An…
Using Participatory Analysis for Community Action: Idea Book. Information Collection and Exchange Publication No. M0086

ERIC Educational Resources Information Center

Peace Corps, 2010

2010-01-01

This idea book addresses key concepts in two earlier Peace Corps' publications, "Participatory Analysis for Community Action (PACA) Manual" [ICE No. M0053], and the "Gender and Development Training Manual" [ICE No. M0054]. These previous resources were large training manuals that introduced PACA to staff and Volunteers in the context of the Peace…
Responding to HIV and AIDS. A Training Manual for United States Probation Officers. Participant's Edition.

ERIC Educational Resources Information Center

Tyree, Jimmy L.

This training manual provides U.S. Probation Officers with a useful guide in understanding the dynamics of human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS). It also gives advice on making this information specific and appropriate to the offenders with whom they work on their caseloads. The manual contains six core…
Manual for Training in the Application of the Principles and Standards of the Water Resources Council.

ERIC Educational Resources Information Center

Caulfield, Henry P., Jr., Ed.; And Others

This manual is one of four planned outputs of a training project conducted by the Environmental Resources Center of Colorado State University with the cooperation of the Water Resources Council. The purpose of this manual, together with the videotapes of lectures given during the project, is to provide materials for the conducting of similar…
LAW ENFORCEMENT OFFICER TRAINING, BASIC COURSE, UNIT II, A UNIT OF THE OHIO LAW ENFORCEMENT OFFICERS' TRAINING PROGRAM, LEARNER'S MANUAL.

ERIC Educational Resources Information Center

REESE, ROBERT M.; AND OTHERS

STUDENTS MAY USE THIS MANUAL IN A LAW ENFORCEMENT TRAINING PROGRAM FOR INSERVICE LAW ENFORCEMENT OFFICERS AND RECRUITS. IT WAS DEVELOPED BY A STATEWIDE COMMITTEE OF LAW ENFORCEMENT TRAINING CONSULTANTS, SPECIALISTS, AND AN ADVISORY COMMITTEE AND WAS TESTED BY A SUBJECT MATTER SPECIALIST IN A PILOT-CLASS STUDY. THE PROGRAM IS DESIGNED TO PROVIDE…
Development of Vocational Education and Training Standards: The Impact of Labour Market Information. Manual. Qualifications and Training Methods.

ERIC Educational Resources Information Center

Mansfield, Bob, Ed.

This is the third publication in the European Training Foundation's (ETF's) series of manuals designed to support development of vocational education and training (VET) standards. This volume looks at ways in which VET standards are linked to labor market demands and how relevant VET standards are to the needs of employment in a market economy.…
Physical fitness training reference manual for security force personnel at fuel cycle facilities possessing formula quantities of special nuclear materials

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

Arzino, P.A.; Caplan, C.S.; Goold, R.E.

1991-09-01

The recommendations contained throughout this NUREG are being provided to the Nuclear Regulatory Commission (NRC) as a reference manual which can be used by licensee management as they develop a program plan for the safe participation of guards, Tactical Response Team members (TRTs), and all other armed response personnel in physical fitness training and in physical performance standards testing. The information provided in this NUREG will help licensees to determine if guards, TRTs, and other armed response personnel can effectively perform their normal and emergency duties without undue hazard to themselves, to fellow employees, to the plant site, and tomore » the general public. The recommendations in this NUREG are similar in part to those contained within the Department of Energy (DOE) Medical and Fitness Implementation Guide which was published in March 1991. The guidelines contained in this NUREG are not requirements, and compliance is not required. 25 refs.« less
Current Space Station Experiments Investigating Component Level Electronics Repair

NASA Technical Reports Server (NTRS)

Easton, John W.; Struk, Peter M.

2010-01-01

The Soldering in a Reduced Gravity Experiment (SoRGE) and Component Repair Experiment (CRE)-1 are tests performed on the International Space Station to determine the techniques, tools, and training necessary to allow future crews to perform manual electronics repairs at the component level. SoRGE provides information on the formation and internal structure of through-hole solder joints, illustrating the challenges and implications of soldering in reduced gravity. SoRGE showed a significant increase in internal void defects for joints formed in low gravity compared to normal gravity. Methods for mitigating these void defects were evaluated using a modified soldering process. CRE-1 demonstrated the removal, cleaning, and replacement of electronics components by manual means on functional circuit boards. The majority of components successful passed a post-repair functional test demonstrating the feasibility of component-level repair within the confines of a spacecraft. Together, these tasks provide information to recommend material and tool improvements, training improvements, and future work to help enable electronics repairs in future space missions.
Automated planning of ablation targets in atrial fibrillation treatment

NASA Astrophysics Data System (ADS)

Keustermans, Johannes; De Buck, Stijn; Heidbüchel, Hein; Suetens, Paul

2011-03-01

Catheter based radio-frequency ablation is used as an invasive treatment of atrial fibrillation. This procedure is often guided by the use of 3D anatomical models obtained from CT, MRI or rotational angiography. During the intervention the operator accurately guides the catheter to prespecified target ablation lines. The planning stage, however, can be time consuming and operator dependent which is suboptimal both from a cost and health perspective. Therefore, we present a novel statistical model-based algorithm for locating ablation targets from 3D rotational angiography images. Based on a training data set of 20 patients, consisting of 3D rotational angiography images with 30 manually indicated ablation points, a statistical local appearance and shape model is built. The local appearance model is based on local image descriptors to capture the intensity patterns around each ablation point. The local shape model is constructed by embedding the ablation points in an undirected graph and imposing that each ablation point only interacts with its neighbors. Identifying the ablation points on a new 3D rotational angiography image is performed by proposing a set of possible candidate locations for each ablation point, as such, converting the problem into a labeling problem. The algorithm is validated using a leave-one-out-approach on the training data set, by computing the distance between the ablation lines obtained by the algorithm and the manually identified ablation points. The distance error is equal to 3.8+/-2.9 mm. As ablation lesion size is around 5-7 mm, automated planning of ablation targets by the presented approach is sufficiently accurate.
Training in the Prevention and Treatment of Child Abuse and Neglect. The User Manual Series.

ERIC Educational Resources Information Center

Broadhurst, Diane D.; MacDicken, Robert A.

Intended primarily for persons or agencies responsible for providing training to professionals and interested citizens involved in delivery of services to abusive and neglectful families, the manual addresses the importance of training in the identification, reporting, diagnosis, treatment, and prevention of child abuse and neglect. Chapters focus…
Students in Transition Using Planning. Teacher's Manual.

ERIC Educational Resources Information Center

PACER Center, Inc., Minneapolis, MN.

The manual was the outcome of a 3-year project to develop a training program on self-advocacy for special education students. The student training is a 3-4 hour program aimed at increased student awareness of their rights and responsibilities as they begin the transition process. Training materials include outlines for each session, student…
LAW ENFORCEMENT OFFICER TRAINING, BASIC COURSE, UNIT II, INSTRUCTOR'S MANUAL.

ERIC Educational Resources Information Center

REESE, ROBERT M.; AND OTHERS

INSTRUCTORS MAY USE THIS MANUAL IN CONDUCTING A TRAINING PROGRAM FOR INSERVICE LAW ENFORCEMENT OFFICERS AND RECRUITS. IT WAS DEVELOPED BY A STATEWIDE COMMITTEE OF STATE LAW ENFORCEMENT CONSULTANTS, SPECIALISTS, AND AN ADVISORY COMMITTEE AND WAS TESTED BY A SUBJECT-MATTER SPECIALIST IN PILOT-CLASS STUDY. THE TRAINING PROGRAM IS DESIGNED TO PROVIDE…

Equipment Operator 3 and 2. NAVTRA 10640-G. Rate Training Manual.

ERIC Educational Resources Information Center

Bureau of Naval Personnel, Washington, DC.

A guide for advancement and training in the Equipment Operator 3 and 2 ratings for Navy personnel is provided in this manual. The chapters outline the duties and responsibilities of the equipment operators involved with engines, fuels, lubricants, pollution control, automotive power trains and chassis, automotive vehicles, materials-handling…
Aircrew Survival Equipmentman 1 and C. NAVPERS 10360-D. Rate Training Manual.

ERIC Educational Resources Information Center

Bureau of Naval Personnel, Washington, DC.

A guide for advancement and training in the Aircrew Survival Equipmentman rating for enlisted personnel of the Regular Navy and the Naval Reserve is provided in this training manual. The chapters outline the qualifications necessary and the responsibilities of Aircrew Survival Equipmentmen involved in blueprint reading and the development of…
46 CFR 160.133-19 - Operating instructions and information for the ship's training manual.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 46 Shipping 6 2014-10-01 2014-10-01 false Operating instructions and information for the ship's... Mechanisms for Lifeboats and Rescue Boats § 160.133-19 Operating instructions and information for the ship's training manual. (a) Each release mechanism must have instructions and information for the ship's training...
Lifeguard Training: Principles and Administration. A Manual for Developing and Administering Lifeguard Systems for Pools and Beaches. Second Edition, Revised.

ERIC Educational Resources Information Center

Howes, Gordon T., Ed.; Hill, Rolland, Ed.

This manual for developing and administering lifeguard systems for pools and beaches is divided into three sections. Section 1, "Personnel," suggests prerequisites for lifeguard training, personal health, fitness and inservice training, and preventive lifeguarding. Section 2, "Operations," discusses the following: a) water…
Tree Seed Technology Training Course

Treesearch

F.T. Bonner; James A. Vozzo; W.W. Elam; S.B. Land

1994-01-01

This manual is intended primarily to train seed collectors, seed-plant managers, seed analysts, and nursery managers, but it can serve as a resource for any training course in forest regeneration. It includes both temperate and tropical tree species of all intended uses. The manual covers the following topics: seed biology, seed collection, seed handling, seed-quality...
Standard First Aid Training Course. Naval Education and Training Command Rate Training Manual.

ERIC Educational Resources Information Center

Naval Education and Training Command, Washington, DC.

This first aid manual is designed to serve as basic first aid instructional materials for all nonmedical naval personnel. Chapters are included on the following topics: basic life support, hemorrhage, shock, wounds, injuries, drug abuse, poisoning, common medical emergencies, NBC (nuclear, biological, chemical) agent casualties, and rescue and…
Small Scale Marine Fisheries: An Extension Training Manual. TR-30.

ERIC Educational Resources Information Center

Martinson, Steven; And Others

This manual is designed for use in a preservice training program for prospective volunteers whose Peace Corps service will be spent working with small-scale artisanal fishing communities in developing nations. The program consists of 8 weeks of intensive training to develop competencies in marine fisheries technology and fisheries extension work…
Training Substance Use Disorder Counselors in Cognitive Behavioral Therapy for Depression: Development and Initial Exploration of an Online Training Program.

PubMed

Curran, Geoffrey M; Woo, Stephanie M; Hepner, Kimberly A; Lai, Wen Pin; Kramer, Teresa L; Drummond, Karen L; Weingardt, Ken

2015-11-01

Evidence based psychotherapies (EBPs) remain underutilized. Models for EBP training and implementation that are cost-effective, minimally disruptive, and sufficiently flexible are needed. Internet-based technology is a promising platform, but questions remain about how this technology can address the barriers to implementation. We developed and examined the implementation of an online training for the Building Recovery by Improving Goals, Habits, and Thoughts (BRIGHT) intervention-a manualized, sixteen-session group depression treatment for individuals with substance use disorders (SUDs). We explored the feasibility of replacing in-person BRIGHT training with a self-paced, online training. A highly partnered and iterative process was followed to translate the written BRIGHT manual and associated didactic training materials into a media rich, interactive, and detailed (12-16 h) online training. Subsequently, 8 volunteer counselors across 7 Veterans' Affairs SUD programs completed the training. Semi-structured interviews focused on the counselors' experiences and their plans for implementing BRIGHT groups. A template approach, using a mixture of deductive and inductive coding, was used for data analyses. The most important barrier to completing training was a lack of protected time. Most counselors were not afforded protected time and reported a sometimes frustrating and fragmented training experience. Many used personal time at work and at home to complete the work. Facilitators to completing the training included positive reactions/attitudes towards the training modules, supervisor support, counselor dedication, and strong beliefs supporting providing services for depression. Many counselors were also concerned about the feasibility of fitting 16 group sessions (2h each) into their program's clinical schedule, but many had devised potential solutions or "work-arounds" to accommodate or approximate the recommended treatment course (e.g., using lunch times, reducing some content/exercises). This work contributes to the literature on implementation of complex EBPs and addresses the strengths and limitations of web-based technologies in supporting the implementation of EBPs. Published by Elsevier Inc.
Using Google Analytics to evaluate the impact of the CyberTraining project.

PubMed

McGuckin, Conor; Crowley, Niall

2012-11-01

A focus on results and impact should be at the heart of every project's approach to research and dissemination. This article discusses the potential of Google Analytics (GA: http://google.com/analytics ) as an effective resource for measuring the impact of academic research output and understanding the geodemographics of users of specific Web 2.0 content (e.g., intervention and prevention materials, health promotion and advice). This article presents the results of GA analyses as a resource used in measuring the impact of the EU-funded CyberTraining project, which provided a well-grounded, research-based training manual on cyberbullying for trainers through the medium of a Web-based eBook ( www.cybertraining-project.org ). The training manual includes review information on cyberbullying, its nature and extent across Europe, analyses of current projects, and provides resources for trainers working with the target groups of pupils, parents, teachers, and other professionals. Results illustrate the promise of GA as an effective tool for measuring the impact of academic research and project output with real potential for tracking and understanding intra- and intercountry regional variations in the uptake of prevention and intervention materials, thus enabling precision focusing of attention to those regions.
The internal model: A study of the relative contribution of proprioception and visual information to failure detection in dynamic systems. [sensitivity of operators versus monitors to failures

NASA Technical Reports Server (NTRS)

Kessel, C.; Wickens, C. D.

1978-01-01

The development of the internal model as it pertains to the detection of step changes in the order of control dynamics is investigated for two modes of participation: whether the subjects are actively controlling those dynamics or are monitoring an autopilot controlling them. A transfer of training design was used to evaluate the relative contribution of proprioception and visual information to the overall accuracy of the internal model. Sixteen subjects either tracked or monitored the system dynamics as a 2-dimensional pursuit display under single task conditions and concurrently with a sub-critical tracking task at two difficulty levels. Detection performance was faster and more accurate in the manual as opposed to the autopilot mode. The concurrent tracking task produced a decrement in detection performance for all conditions though this was more marked for the manual mode. The development of an internal model in the manual mode transferred positively to the automatic mode producing enhanced detection performance. There was no transfer from the internal model developed in the automatic mode to the manual mode.
A qualitative analysis of the concepts of fidelity and adaptation in the implementation of an evidence-based HIV prevention intervention

PubMed Central

Owczarzak, Jill; Broaddus, Michelle; Pinkerton, Steven

2016-01-01

Continued debate about the relative value of fidelity versus adaptation, and lack of clarity about the meaning of fidelity, raise concerns about how frontline service providers resolve similar issues in their daily practice. We use SISTA (‘Sisters Informing Sisters on Topics about acquired immune deficiency syndrome’), an evidence-based human immunodeficiency virus (HIV) prevention intervention for African American women, to understand how facilitators and program directors interpret and enact implementation fidelity with the need for adaptation in real-world program delivery. We conducted 22 in-depth, semi-structured interviews with service providers from four agencies implementing SISTA. Facilitators valued their skills as group leaders and ability to emotionally engage participants as more critical to program effectiveness than delivering the intervention with strict fidelity. Consequently, they saw program manuals as guides rather than static texts that should never be changed and, moreover, viewed the prescriptive nature of manuals as undermining their efforts to fully engage with participants. Our findings suggest that greater consideration should be given to understanding the role of facilitators in program effectiveness over and above the question of whether they implement the program with fidelity. Moreover, training curricula should provide facilitators with transferable skills through general facilitator training rather than only program-specific or manual-specific training. PMID:26944867
Effects of a new sensory re-education training tool on hand sensibility and manual dexterity in people with multiple sclerosis.

PubMed

Kalron, Alon; Greenberg-Abrahami, Michal; Gelav, Simona; Achiron, Anat

2013-01-01

To describe and evaluate the effects of a new home-based sensory re-education training tool on hand sensibility and manual dexterity in people with MS experiencing upper limb sensory deficits. Twenty-five people with relapsing-remitting MS (18 women), mean age 50.6 years (SD = 11.4), volunteered to participate. Participants were initially assigned to a 7-week control phase followed by a 3-week home-based sensory re-education phase. Measurements used were the nine-hole peg test, the two point discrimination test, the monofilaments test and the functional dexterity test. Measurements were collected at baseline, following the control phase and at the end of the trial. Participants demonstrated an improvement in the nine-hole peg (26.8 (SD = 3.5) vs. 22.6 (SD = 3.2); mean difference (95% CI) 4.9 (0.9, 7.1), P = 0.03) and functional dexterity tests (38.6 (SD = 4.4) vs. 33.8 (SD = 4.9); mean difference (95% CI) 4.8 (1.8, 7.0); P = 0.02) at the end of the sensory re-education phase compared to the end of the control phase. No differences were observed as to the monofilaments and two-point discrimination tests. Sensory re-education training does not affect the level of sensory impairment in the hand but may lead to improvement in select measures of manual dexterity.
A Data Management System Integrating Web-based Training and Randomized Trials: Requirements, Experiences and Recommendations.

PubMed

Muroff, Jordana; Amodeo, Maryann; Larson, Mary Jo; Carey, Margaret; Loftin, Ralph D

2011-01-01

This article describes a data management system (DMS) developed to support a large-scale randomized study of an innovative web-course that was designed to improve substance abuse counselors' knowledge and skills in applying a substance abuse treatment method (i.e., cognitive behavioral therapy; CBT). The randomized trial compared the performance of web-course-trained participants (intervention group) and printed-manual-trained participants (comparison group) to determine the effectiveness of the web-course in teaching CBT skills. A single DMS was needed to support all aspects of the study: web-course delivery and management, as well as randomized trial management. The authors briefly reviewed several other systems that were described as built either to handle randomized trials or to deliver and evaluate web-based training. However it was clear that these systems fell short of meeting our needs for simultaneous, coordinated management of the web-course and the randomized trial. New England Research Institute's (NERI) proprietary Advanced Data Entry and Protocol Tracking (ADEPT) system was coupled with the web-programmed course and customized for our purposes. This article highlights the requirements for a DMS that operates at the intersection of web-based course management systems and randomized clinical trial systems, and the extent to which the coupled, customized ADEPT satisfied those requirements. Recommendations are included for institutions and individuals considering conducting randomized trials and web-based training programs, and seeking a DMS that can meet similar requirements.
Active learning of neuron morphology for accurate automated tracing of neurites

PubMed Central

Gala, Rohan; Chapeton, Julio; Jitesh, Jayant; Bhavsar, Chintan; Stepanyants, Armen

2014-01-01

Automating the process of neurite tracing from light microscopy stacks of images is essential for large-scale or high-throughput quantitative studies of neural circuits. While the general layout of labeled neurites can be captured by many automated tracing algorithms, it is often not possible to differentiate reliably between the processes belonging to different cells. The reason is that some neurites in the stack may appear broken due to imperfect labeling, while others may appear fused due to the limited resolution of optical microscopy. Trained neuroanatomists routinely resolve such topological ambiguities during manual tracing tasks by combining information about distances between branches, branch orientations, intensities, calibers, tortuosities, colors, as well as the presence of spines or boutons. Likewise, to evaluate different topological scenarios automatically, we developed a machine learning approach that combines many of the above mentioned features. A specifically designed confidence measure was used to actively train the algorithm during user-assisted tracing procedure. Active learning significantly reduces the training time and makes it possible to obtain less than 1% generalization error rates by providing few training examples. To evaluate the overall performance of the algorithm a number of image stacks were reconstructed automatically, as well as manually by several trained users, making it possible to compare the automated traces to the baseline inter-user variability. Several geometrical and topological features of the traces were selected for the comparisons. These features include the total trace length, the total numbers of branch and terminal points, the affinity of corresponding traces, and the distances between corresponding branch and terminal points. Our results show that when the density of labeled neurites is sufficiently low, automated traces are not significantly different from manual reconstructions obtained by trained users. PMID:24904306
Development and implementation of an emergency practitioner-performed brief intervention for hazardous and harmful drinkers in the emergency department.

PubMed

D'Onofrio, Gail; Pantalon, Michael V; Degutis, Linda C; Fiellin, David A; O'connor, Patrick G

2005-03-01

1) To develop and teach a brief intervention (BI) for "hazardous and harmful" (HH) drinkers in the emergency department (ED); 2) to determine whether emergency practitioners (EPs) (faculty, residents, and physician associates) can demonstrate proficiency in the intervention; and 3) to determine whether it is feasible for EPs to perform the BI during routine clinical care. The Brief Negotiation Interview (BNI) was developed for a population of HH drinkers. EPs working in an urban, teaching hospital were trained during two-hour skills-based sessions. They were then tested for adherence to and competence with the BNI protocol using standardized patient scenarios and a checklist of critical components of the BNI. Finally, the EPs performed the BNI as part of routine ED clinical care in the context of a randomized controlled trial to test the efficacy of BI on patient outcomes. The BNI was developed, modified, and finalized in a manual, based on pilot testing. Eleven training sessions with 58 EPs were conducted from March 2002 to August 2003. Ninety-one percent (53/58) of the trained EPs passed the proficiency examination; 96% passed after remediation. Two EPs left prior to remediation. Subsequently, 247 BNIs were performed by 47 EPs. The mean (+/- standard deviation) number of BNIs per EP was 5.28 (+/- 4.91; range 0-28). The mean duration of the BNI was 7.75 minutes (+/- 3.18; range 4-24). A BNI for HH drinkers can be successfully developed for EPs. EPs can demonstrate proficiency in performing the BNI in routine ED clinical practice.
Efficacy of an Exercise Game Based on Kinect in Improving Physical Performances of Fall Risk Factors in Community-Dwelling Older Adults.

PubMed

Kayama, Hiroki; Okamoto, Kazuya; Nishiguchi, Shu; Yukutake, Taiki; Tanigawa, Takanori; Nagai, Koutatsu; Yamada, Minoru; Aoyama, Tomoki

2013-08-01

The purpose of this study was to demonstrate whether a 12-week program of training with dual-task Tai Chi (DTTC), which is a new concept game we developed using Kinect (Microsoft, Redmond, WA), would be effective in improving physical functions of fall risk factors. This study examined balance, muscle strength, locomotive ability, and dual-task ability in community-dwelling older adults (75.4±6.3 years) before and after 12 weeks of DTTC training (training group [TG]; n=32) or standardized training (control group [CG]; n=41). Primary end points were based on the difference in physical functions between the TG and the CG. Significant differences were observed between the two groups with significant group×time interaction for the following physical function measures: timed up-and-go (TUG) (P<0.01), one-leg standing (OLS) (P<0.05), and 5 chair stand (5-CS) (P<0.05). There were no significant differences among the other measures: 10-m walking time under standard conditions, manual-task conditions, and cognitive-task conditions, 10-m maximal walking time, and Functional Reach test scores. Thus, the scores of TUG, OLS, and 5-CS in the TG improved significantly with DTTC training compared with the CG. The results suggest that the DTTC training is effective in improving balance ability and mobility, which are risk factors for falls.
The Effects of Rhythm and Robotic Interventions on the Imitation/Praxis, Interpersonal Synchrony, and Motor Performance of Children with Autism Spectrum Disorder (ASD): A Pilot Randomized Controlled Trial

PubMed Central

Srinivasan, Sudha M.; Kaur, Maninderjit; Park, Isabel K.; Gifford, Timothy D.; Marsh, Kerry L.; Bhat, Anjana N.

2015-01-01

We assessed the effects of three interventions, rhythm, robotic, and standard-of-care, on the imitation/praxis, interpersonal synchrony, and overall motor performance of 36 children with Autism Spectrum Disorder (ASD) between 5 and 12 years of age. Children were matched on age, level of functioning, and services received, prior to random assignment to one of the three groups. Training was provided for 8 weeks with 4 sessions provided each week. We assessed generalized changes in motor skills from the pretest to the posttest using a standardized test of motor performance, the Bruininks-Oseretsky Test of Motor Proficiency, 2nd edition (BOT-2). We also assessed training-specific changes in imitation/praxis and interpersonal synchrony during an early and a late session. Consistent with the training activities practiced, the rhythm and robot groups improved on the body coordination composite of the BOT-2, whereas the comparison group improved on the fine manual control composite of the BOT-2. All three groups demonstrated improvements in imitation/praxis. The rhythm and robot groups also showed improved interpersonal synchrony performance from the early to the late session. Overall, socially embedded movement-based contexts are valuable in promoting imitation/praxis, interpersonal synchrony, and motor performance and should be included within the standard-of-care treatment for children with ASD. PMID:26793394
The working mechanism of manual therapy in participants with chronic tension-type headache.

PubMed

Castien, René; Blankenstein, Annette; van der Windt, Daniëlle; Heymans, Martijn W; Dekker, Joost

2013-10-01

Prospective longitudinal study. To explore the working mechanism of manual therapy, we investigated whether 3 cervical spine variables were mediators of the effect of manual therapy on headache frequency. Background Manual therapy has been shown to reduce headache frequency in participants with chronic tension-type headache (CTTH). To what extent specific elements of treatment contribute to the effectiveness of manual therapy in CTTH is unknown. One hundred eighty-two participants with CTTH participated in a prospective longitudinal study: 142 underwent manual therapy and 40 participants received usual care by their general practitioner. Regression analysis was performed according to the steps described by Baron and Kenny, and the proportion of mediated effect was estimated for 3 potential mediators: (1) cervical range of motion, (2) neck flexor endurance, and (3) forward head posture. Outcome was defined as a 50% or greater reduction in headache days. Neck flexor endurance mediated 24.5% of the effect of manual therapy. Cervical range of motion and forward head posture showed no mediated effect. Increased neck flexor endurance appears to be a working mechanism of manual therapy. This finding supports isometric training of neck flexors in participants with CTTH. Trial registered with Netherlands Trial Register (TR 1074).
Using MSD prevention for cultural change in mining: Queensland Government/Anglo Coal Industry partnership.

PubMed

Tilbury, Trudy; Sanderson, Liz

2012-01-01

Queensland Mining has a strong focus on safety performance, but risk management of health, including Musculoskeletal Disorders (MSDs) continues to have a lower priority. The reliance on individual screening of workers and lower level approaches such as manual handling training is part of the coal mining 'culture'. Initiatives such as the New South Wales and Queensland Mining joint project to develop good practice guidance for mining has allowed for a more consistent message on participatory ergonomics and prevention of MSD. An evidence based practice approach, including the introduction of participatory ergonomics and safe design principles, was proposed to Anglo American Coal operations in Queensland. The project consisted of a skills analysis of current health personnel, design of a facilitated participatory ergonomics training program, site visits to identify good practice and champions, and a graduated mentoring program for health personnel. Early results demonstrate a number of sites are benefiting from site taskforces with a focus on positive performance outcomes.
Training echo state networks for rotation-invariant bone marrow cell classification.

PubMed

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

2017-01-01

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

Automated Essay Grading using Machine Learning Algorithm

NASA Astrophysics Data System (ADS)

Ramalingam, V. V.; Pandian, A.; Chetry, Prateek; Nigam, Himanshu

2018-04-01

Essays are paramount for of assessing the academic excellence along with linking the different ideas with the ability to recall but are notably time consuming when they are assessed manually. Manual grading takes significant amount of evaluator’s time and hence it is an expensive process. Automated grading if proven effective will not only reduce the time for assessment but comparing it with human scores will also make the score realistic. The project aims to develop an automated essay assessment system by use of machine learning techniques by classifying a corpus of textual entities into small number of discrete categories, corresponding to possible grades. Linear regression technique will be utilized for training the model along with making the use of various other classifications and clustering techniques. We intend to train classifiers on the training set, make it go through the downloaded dataset, and then measure performance our dataset by comparing the obtained values with the dataset values. We have implemented our model using java.
Classifying the Indication for Colonoscopy Procedures: A Comparison of NLP Approaches in a Diverse National Healthcare System.

PubMed

Patterson, Olga V; Forbush, Tyler B; Saini, Sameer D; Moser, Stephanie E; DuVall, Scott L

2015-01-01

In order to measure the level of utilization of colonoscopy procedures, identifying the primary indication for the procedure is required. Colonoscopies may be utilized not only for screening, but also for diagnostic or therapeutic purposes. To determine whether a colonoscopy was performed for screening, we created a natural language processing system to identify colonoscopy reports in the electronic medical record system and extract indications for the procedure. A rule-based model and three machine-learning models were created using 2,000 manually annotated clinical notes of patients cared for in the Department of Veterans Affairs. Performance of the models was measured and compared. Analysis of the models on a test set of 1,000 documents indicates that the rule-based system performance stays fairly constant as evaluated on training and testing sets. However, the machine learning model without feature selection showed significant decrease in performance. Therefore, rule-based classification system appears to be more robust than a machine-learning system in cases when no feature selection is performed.
Development of a wheelchair maintenance training programme and questionnaire for clinicians and wheelchair users.

PubMed

Toro, Maria Luisa; Bird, Emily; Oyster, Michelle; Worobey, Lynn; Lain, Michael; Bucior, Samuel; Cooper, Rory A; Pearlman, Jonathan

2017-11-01

Purpose of state: The aims of this study were to develop a Wheelchair Maintenance Training Programme (WMTP) as a tool for clinicians to teach wheelchair users (and caregivers when applicable) in a group setting to perform basic maintenance at home in the USA and to develop a Wheelchair Maintenance Training Questionnaire (WMT-Q) to evaluate wheelchair maintenance knowledge in clinicians, manual and power wheelchair users. The WMTP and WMT-Q were developed through an iterative process. A convenience sample of clinicians (n = 17), manual wheelchair (n ∞ 5), power wheelchair users (n = 4) and caregivers (n = 4) provided feedback on the training programme. A convenience sample of clinicians (n = 38), manual wheelchair (n = 25), and power wheelchair users (n = 30) answered the WMT-Q throughout different phases of development. The subscores of the WMT-Q achieved a reliability that ranged between ICC(3,1) = 0.48 to ICC(3,1) = 0.89. The WMTP and WMT-Q were implemented with 15 clinicians who received in-person training in the USA using the materials developed and showed a significant increase in all except one of the WMT-Q subscores after the WMTP (p < 0.007). The WMTP will continue to be revised as it is further implemented. The WMT-Q is an acceptable instrument to measure pre- and post-training maintenance knowledge. Implications for Rehabilitation The Wheelchair Maintenance Training Program can be used to educate rehabilitation clinicians and technicians to improve wheelchair service and delivery to end users. This training complements the World Health Organization basic wheelchair service curriculum, which only includes training of the clinicians, but does not include detailed information to train wheelchair users and caregivers. This training program offers a time efficient method for providing education to end users in a group setting that may mitigate adverse consequences resulting from wheelchair breakdown. This training program has significant potential for impact among wheelchair users in areas where access to repair services is limited.
How to Evaluate Training.

DTIC Science & Technology

1982-09-30

not changed because they are not subject to a careful evaluation. The solution The four job aids contained in this manual provide specific techniques...lesson plans tions. " training design, or * testing NOTICE This manual has been developed using the standards of the Information MappingO writing service...Information Mapping, Inc. S NOTICE This manual has been developed using the standards of the Information MappingS writing service. Infornation Mapping
Iterative normalization method for improved prostate cancer localization with multispectral magnetic resonance imaging

NASA Astrophysics Data System (ADS)

Liu, Xin; Samil Yetik, Imam

2012-04-01

Use of multispectral magnetic resonance imaging has received a great interest for prostate cancer localization in research and clinical studies. Manual extraction of prostate tumors from multispectral magnetic resonance imaging is inefficient and subjective, while automated segmentation is objective and reproducible. For supervised, automated segmentation approaches, learning is essential to obtain the information from training dataset. However, in this procedure, all patients are assumed to have similar properties for the tumor and normal tissues, and the segmentation performance suffers since the variations across patients are ignored. To conquer this difficulty, we propose a new iterative normalization method based on relative intensity values of tumor and normal tissues to normalize multispectral magnetic resonance images and improve segmentation performance. The idea of relative intensity mimics the manual segmentation performed by human readers, who compare the contrast between regions without knowing the actual intensity values. We compare the segmentation performance of the proposed method with that of z-score normalization followed by support vector machine, local active contours, and fuzzy Markov random field. Our experimental results demonstrate that our method outperforms the three other state-of-the-art algorithms, and was found to have specificity of 0.73, sensitivity of 0.69, and accuracy of 0.79, significantly better than alternative methods.
Wind Systems for Pumping Water: A Training Manual. No. T-25.

ERIC Educational Resources Information Center

Eschenbach, Willis

This document was prepared as a training manual for people interested in developing appropriate technological approaches to using wind power to pump water. The training program is divided into two basic formats, one in which a session focuses on the design process and participants are expected to do some design work in groups, and another which…
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…
Builder 1 & C: Naval Training Command Rate Training Manual. Revised 1973.

ERIC Educational Resources Information Center

Naval Training Command, Pensacola, FL.

The training manual is designed to help Navy personnel meet the occupational qualifications for advancement to Builder First Class and Chief Builder. The introductory chapter provides information to aid personnel in their preparation for advancement and outlines the scope of the Builder rating and the types of billets to which he can be assigned.…
A Manual for Assessment and Training of Severely Multiply Handicapped Deaf-Blind Students.

ERIC Educational Resources Information Center

Burton, Rosemarie A.; And Others

Intended for teacher use, the manual provides for the assessment and training of severely multiply handicapped deaf-blind students with sections on self help, motor development, and sensory stimulation training. Included for each skill are an individual rating scale for periodic assessments, a task analysis, and an actual teaching procedure. Found…
Effects of Theory Training, Hands-on Supervision and a Self-Instructional Treatment Manual on Staff Competency

ERIC Educational Resources Information Center

Hatlenes, Linda Teikari; Eikeseth, Svein

2016-01-01

Employing a randomized control group design, this study compared the efficacy of staff training using theory training, hands-on supervision and a self-instructional teaching manual. Participants were 12 undergraduate, health or social-work students. Initially, participants were given a three-hour lecture, and as a result, staff-participants…
Builder 3 & 2. Naval Education and Training Command Rate Training Manual and Nonresident Career Course. Revised.

ERIC Educational Resources Information Center

Countryman, Gene L.

This Rate Training Manual (Textbook) and Nonresident Career Course form a correspondence, self-study package to provide information related to tasks assigned to Builders Third and Second Class. Focus is on constructing, maintaining, and repairing wooden, concrete, and masonry structures, concrete pavement, and waterfront and underwater structures;…
Self-assessed performance improves statistical fusion of image labels

PubMed Central

Bryan, Frederick W.; Xu, Zhoubing; Asman, Andrew J.; Allen, Wade M.; Reich, Daniel S.; Landman, Bennett A.

2014-01-01

Purpose: Expert manual labeling is the gold standard for image segmentation, but this process is difficult, time-consuming, and prone to inter-individual differences. While fully automated methods have successfully targeted many anatomies, automated methods have not yet been developed for numerous essential structures (e.g., the internal structure of the spinal cord as seen on magnetic resonance imaging). Collaborative labeling is a new paradigm that offers a robust alternative that may realize both the throughput of automation and the guidance of experts. Yet, distributing manual labeling expertise across individuals and sites introduces potential human factors concerns (e.g., training, software usability) and statistical considerations (e.g., fusion of information, assessment of confidence, bias) that must be further explored. During the labeling process, it is simple to ask raters to self-assess the confidence of their labels, but this is rarely done and has not been previously quantitatively studied. Herein, the authors explore the utility of self-assessment in relation to automated assessment of rater performance in the context of statistical fusion. Methods: The authors conducted a study of 66 volumes manually labeled by 75 minimally trained human raters recruited from the university undergraduate population. Raters were given 15 min of training during which they were shown examples of correct segmentation, and the online segmentation tool was demonstrated. The volumes were labeled 2D slice-wise, and the slices were unordered. A self-assessed quality metric was produced by raters for each slice by marking a confidence bar superimposed on the slice. Volumes produced by both voting and statistical fusion algorithms were compared against a set of expert segmentations of the same volumes. Results: Labels for 8825 distinct slices were obtained. Simple majority voting resulted in statistically poorer performance than voting weighted by self-assessed performance. Statistical fusion resulted in statistically indistinguishable performance from self-assessed weighted voting. The authors developed a new theoretical basis for using self-assessed performance in the framework of statistical fusion and demonstrated that the combined sources of information (both statistical assessment and self-assessment) yielded statistically significant improvement over the methods considered separately. Conclusions: The authors present the first systematic characterization of self-assessed performance in manual labeling. The authors demonstrate that self-assessment and statistical fusion yield similar, but complementary, benefits for label fusion. Finally, the authors present a new theoretical basis for combining self-assessments with statistical label fusion. PMID:24593721
Semantic mediation in the national geologic map database (US)

USGS Publications Warehouse

Percy, D.; Richard, S.; Soller, D.

2008-01-01

Controlled language is the primary challenge in merging heterogeneous databases of geologic information. Each agency or organization produces databases with different schema, and different terminology for describing the objects within. In order to make some progress toward merging these databases using current technology, we have developed software and a workflow that allows for the "manual semantic mediation" of these geologic map databases. Enthusiastic support from many state agencies (stakeholders and data stewards) has shown that the community supports this approach. Future implementations will move toward a more Artificial Intelligence-based approach, using expert-systems or knowledge-bases to process data based on the training sets we have developed manually.
Deformable image registration using convolutional neural networks

NASA Astrophysics Data System (ADS)

Eppenhof, Koen A. J.; Lafarge, Maxime W.; Moeskops, Pim; Veta, Mitko; Pluim, Josien P. W.

2018-03-01

Deformable image registration can be time-consuming and often needs extensive parameterization to perform well on a specific application. We present a step towards a registration framework based on a three-dimensional convolutional neural network. The network directly learns transformations between pairs of three-dimensional images. The outputs of the network are three maps for the x, y, and z components of a thin plate spline transformation grid. The network is trained on synthetic random transformations, which are applied to a small set of representative images for the desired application. Training therefore does not require manually annotated ground truth deformation information. The methodology is demonstrated on public data sets of inspiration-expiration lung CT image pairs, which come with annotated corresponding landmarks for evaluation of the registration accuracy. Advantages of this methodology are its fast registration times and its minimal parameterization.
An Overview of Potential Methods for Maintaining Training Area Environments in Arid and Semi-Arid Climates

DTIC Science & Technology

1983-04-01

Shrubs , Ground Covers, and Vines , Technical Manual 5-830-4 (June 1976). This manual provides guidelines and prescribes standard techniques to be used...in planting and the initial care required to successfully establish trees, shrubs , ground covers, and vines . Criteria for selecting materials are...their new location. The planting of trees, shrubs , ground covers, and vines should comply with approved landscape planting plans and should be based on
Assessing the acquisition and generalization of two mand forms with adults with severe developmental disabilities.

PubMed

Chambers, Mark; Rehfeldt, Ruth Anne

2003-01-01

The purpose of this study was to determine whether manual sign or the Picture Exchange Communication System (P.E.C.S.) (Frost and Bondy, 1994) would be more effective in teaching mand skills to adults with mental retardation in the severe and profound range. Four participants were taught to mand for four reinforcing items using both communication modalities, in an alternating treatments design. Three of four participants demonstrated criterion performance across all four mands using P.E.C.S. first. Two of those three participants later demonstrated criterion performance for the mands using manual sign. The fourth participant was removed from the study during training due to illness, but her progress indicated greater acquisition with P.E.C.S. Generalization probes conducted at participants' respective residences showed that three participants demonstrated generalization across settings using P.E.C.S., and two participants demonstrated generalization across settings using manual sign. Participants were also more likely to mand for reinforcing items not present using P.E.C.S. than using manual sign.
Classification of malignant and benign liver tumors using a radiomics approach

NASA Astrophysics Data System (ADS)

Starmans, Martijn P. A.; Miclea, Razvan L.; van der Voort, Sebastian R.; Niessen, Wiro J.; Thomeer, Maarten G.; Klein, Stefan

2018-03-01

Correct diagnosis of the liver tumor phenotype is crucial for treatment planning, especially the distinction between malignant and benign lesions. Clinical practice includes manual scoring of the tumors on Magnetic Resonance (MR) images by a radiologist. As this is challenging and subjective, it is often followed by a biopsy. In this study, we propose a radiomics approach as an objective and non-invasive alternative for distinguishing between malignant and benign phenotypes. T2-weighted (T2w) MR sequences of 119 patients from multiple centers were collected. We developed an efficient semi-automatic segmentation method, which was used by a radiologist to delineate the tumors. Within these regions, features quantifying tumor shape, intensity, texture, heterogeneity and orientation were extracted. Patient characteristics and semantic features were added for a total of 424 features. Classification was performed using Support Vector Machines (SVMs). The performance was evaluated using internal random-split cross-validation. On the training set within each iteration, feature selection and hyperparameter optimization were performed. To this end, another cross validation was performed by splitting the training sets in training and validation parts. The optimal settings were evaluated on the independent test sets. Manual scoring by a radiologist was also performed. The radiomics approach resulted in 95% confidence intervals of the AUC of [0.75, 0.92], specificity [0.76, 0.96] and sensitivity [0.52, 0.82]. These approach the performance of the radiologist, which were an AUC of 0.93, specificity 0.70 and sensitivity 0.93. Hence, radiomics has the potential to predict the liver tumor benignity in an objective and non-invasive manner.
Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies.

PubMed

Russ, Daniel E; Ho, Kwan-Yuet; Colt, Joanne S; Armenti, Karla R; Baris, Dalsu; Chow, Wong-Ho; Davis, Faith; Johnson, Alison; Purdue, Mark P; Karagas, Margaret R; Schwartz, Kendra; Schwenn, Molly; Silverman, Debra T; Johnson, Calvin A; Friesen, Melissa C

2016-06-01

Mapping job titles to standardised occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiological studies. Because manual coding is time-consuming and has moderate reliability, we developed an algorithm called SOCcer (Standardized Occupation Coding for Computer-assisted Epidemiologic Research) to assign SOC-2010 codes based on free-text job description components. Job title and task-based classifiers were developed by comparing job descriptions to multiple sources linking job and task descriptions to SOC codes. An industry-based classifier was developed based on the SOC prevalence within an industry. These classifiers were used in a logistic model trained using 14 983 jobs with expert-assigned SOC codes to obtain empirical weights for an algorithm that scored each SOC/job description. We assigned the highest scoring SOC code to each job. SOCcer was validated in 2 occupational data sources by comparing SOC codes obtained from SOCcer to expert assigned SOC codes and lead exposure estimates obtained by linking SOC codes to a job-exposure matrix. For 11 991 case-control study jobs, SOCcer-assigned codes agreed with 44.5% and 76.3% of manually assigned codes at the 6-digit and 2-digit level, respectively. Agreement increased with the score, providing a mechanism to identify assignments needing review. Good agreement was observed between lead estimates based on SOCcer and manual SOC assignments (κ 0.6-0.8). Poorer performance was observed for inspection job descriptions, which included abbreviations and worksite-specific terminology. Although some manual coding will remain necessary, using SOCcer may improve the efficiency of incorporating occupation into large-scale epidemiological studies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
True Color Image Analysis For Determination Of Bone Growth In Fluorochromic Biopsies

NASA Astrophysics Data System (ADS)

Madachy, Raymond J.; Chotivichit, Lee; Huang, H. K.; Johnson, Eric E.

1989-05-01

A true color imaging technique has been developed for analysis of microscopic fluorochromic bone biopsy images to quantify new bone growth. The technique searches for specified colors in a medical image for quantification of areas of interest. Based on a user supplied training set, a multispectral classification of pixel values is performed and used for segmenting the image. Good results were obtained when compared to manual tracings of new bone growth performed by an orthopedic surgeon. At a 95% confidence level, the hypothesis that there is no difference between the two methods can be accepted. Work is in progress to test bone biopsies with different colored stains and further optimize the analysis process using three-dimensional spectral ordering techniques.
Moments applied in the manual assembly of space structures - Ease biomechanics results from STS-61B. [Experimental Assembly of Structures in EVA

NASA Technical Reports Server (NTRS)

Cousins, D.; Akin, D. L.

1989-01-01

Measurements of the level and pattern of moments applied in the manual assembly of a space structure were made in extravehicular activity (EVA) and neutral buoyancy simulation (NBS). The Experimental Assembly of Structures in EVA program included the repeated assembly of a 3.6 m tetrahedral truss structure in EVA on STS-61B after extensive neutral buoyancy crew training. The flight and training structures were of equivalent mass and geometry to allow a direct correlation between EVA and NBS performance. A stereo photographic motion camera system was used to reconstruct in three dimensions rotational movements of structural beams during assembly. Moments applied in these manual handling tasks were calculated on the basis of the reconstructed movements taking into account effects of inertia, drag and virtual mass. Applied moments of 2.0 Nm were typical for beam rotations in EVA. Corresponding applied moments in NBS were typically up to five times greater. Moments were applied as impulses separated by several seconds of coasting in both EVA and NBS. Decelerating impulses were only infrequently observed in NBS.

Instructional authoring by direct manipulation of simulations: Exploratory applications of RAPIDS. RAPIDS 2 authoring manual

NASA Technical Reports Server (NTRS)

1990-01-01

RAPIDS II is a simulation-based intelligent tutoring system environment. It is a system for producing computer-based training courses that are built on the foundation of graphical simulations. RAPIDS II simulations can be animated and they can have continuously updating elements.
Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.

PubMed

Lavdas, Ioannis; Glocker, Ben; Kamnitsas, Konstantinos; Rueckert, Daniel; Mair, Henrietta; Sandhu, Amandeep; Taylor, Stuart A; Aboagye, Eric O; Rockall, Andrea G

2017-10-01

As part of a program to implement automatic lesion detection methods for whole body magnetic resonance imaging (MRI) in oncology, we have developed, evaluated, and compared three algorithms for fully automatic, multiorgan segmentation in healthy volunteers. The first algorithm is based on classification forests (CFs), the second is based on 3D convolutional neural networks (CNNs) and the third algorithm is based on a multi-atlas (MA) approach. We examined data from 51 healthy volunteers, scanned prospectively with a standardized, multiparametric whole body MRI protocol at 1.5 T. The study was approved by the local ethics committee and written consent was obtained from the participants. MRI data were used as input data to the algorithms, while training was based on manual annotation of the anatomies of interest by clinical MRI experts. Fivefold cross-validation experiments were run on 34 artifact-free subjects. We report three overlap and three surface distance metrics to evaluate the agreement between the automatic and manual segmentations, namely the dice similarity coefficient (DSC), recall (RE), precision (PR), average surface distance (ASD), root-mean-square surface distance (RMSSD), and Hausdorff distance (HD). Analysis of variances was used to compare pooled label metrics between the three algorithms and the DSC on a 'per-organ' basis. A Mann-Whitney U test was used to compare the pooled metrics between CFs and CNNs and the DSC on a 'per-organ' basis, when using different imaging combinations as input for training. All three algorithms resulted in robust segmenters that were effectively trained using a relatively small number of datasets, an important consideration in the clinical setting. Mean overlap metrics for all the segmented structures were: CFs: DSC = 0.70 ± 0.18, RE = 0.73 ± 0.18, PR = 0.71 ± 0.14, CNNs: DSC = 0.81 ± 0.13, RE = 0.83 ± 0.14, PR = 0.82 ± 0.10, MA: DSC = 0.71 ± 0.22, RE = 0.70 ± 0.34, PR = 0.77 ± 0.15. Mean surface distance metrics for all the segmented structures were: CFs: ASD = 13.5 ± 11.3 mm, RMSSD = 34.6 ± 37.6 mm and HD = 185.7 ± 194.0 mm, CNNs; ASD = 5.48 ± 4.84 mm, RMSSD = 17.0 ± 13.3 mm and HD = 199.0 ± 101.2 mm, MA: ASD = 4.22 ± 2.42 mm, RMSSD = 6.13 ± 2.55 mm, and HD = 38.9 ± 28.9 mm. The pooled performance of CFs improved when all imaging combinations (T2w + T1w + DWI) were used as input, while the performance of CNNs deteriorated, but in neither case, significantly. CNNs with T2w images as input, performed significantly better than CFs with all imaging combinations as input for all anatomical labels, except for the bladder. Three state-of-the-art algorithms were developed and used to automatically segment major organs and bones in whole body MRI; good agreement to manual segmentations performed by clinical MRI experts was observed. CNNs perform favorably, when using T2w volumes as input. Using multimodal MRI data as input to CNNs did not improve the segmentation performance. © 2017 American Association of Physicists in Medicine.
Gland segmentation in prostate histopathological images

PubMed Central

Singh, Malay; Kalaw, Emarene Mationg; Giron, Danilo Medina; Chong, Kian-Tai; Tan, Chew Lim; Lee, Hwee Kuan

2017-01-01

Abstract. Glandular structural features are important for the tumor pathologist in the assessment of cancer malignancy of prostate tissue slides. The varying shapes and sizes of glands combined with the tedious manual observation task can result in inaccurate assessment. There are also discrepancies and low-level agreement among pathologists, especially in cases of Gleason pattern 3 and pattern 4 prostate adenocarcinoma. An automated gland segmentation system can highlight various glandular shapes and structures for further analysis by the pathologist. These objective highlighted patterns can help reduce the assessment variability. We propose an automated gland segmentation system. Forty-three hematoxylin and eosin-stained images were acquired from prostate cancer tissue slides and were manually annotated for gland, lumen, periacinar retraction clefting, and stroma regions. Our automated gland segmentation system was trained using these manual annotations. It identifies these regions using a combination of pixel and object-level classifiers by incorporating local and spatial information for consolidating pixel-level classification results into object-level segmentation. Experimental results show that our method outperforms various texture and gland structure-based gland segmentation algorithms in the literature. Our method has good performance and can be a promising tool to help decrease interobserver variability among pathologists. PMID:28653016
A cost analysis comparing xeroradiography to film technics for intraoral radiography.

PubMed

Gratt, B M; Sickles, E A

1986-01-01

In the United States during 1978 $730 million was spent on dental radiographic services. Currently there are three alternatives for the processing of intraoral radiographs: manual wet-tanks, automatic film units, or xeroradiography. It was the intent of this study to determine which processing system is the most economical. Cost estimates were based on a usage rate of 750 patient images per month and included a calculation of the average cost per radiograph over a five-year period. Capital costs included initial processing equipment and site preparation. Operational costs included labor, supplies, utilities, darkroom rental, and breakdown costs. Clinical time trials were employed to measure examination times. Maintenance logs were employed to assess labor costs. Indirect costs of training were estimated. Results indicated that xeroradiography was the most cost effective ($0.81 per image) compared to either automatic film processing ($1.14 per image) or manual processing ($1.35 per image). Variations in projected costs indicated that if a dental practice performs primarily complete-mouth surveys, exposes less than 120 radiographs per month, and pays less than +6.50 per hour in wages, then manual (wet-tank) processing is the most economical method for producing intraoral radiographs.
Adult Bronchoscopy Training

PubMed Central

Wahidi, Momen M.; Read, Charles A.; Buckley, John D.; Addrizzo-Harris, Doreen J.; Shah, Pallav L.; Herth, Felix J. F.; de Hoyos Parra, Alberto; Ornelas, Joseph; Yarmus, Lonny; Silvestri, Gerard A.

2015-01-01

BACKGROUND: The determination of competency of trainees in programs performing bronchoscopy is quite variable. Some programs provide didactic lectures with hands-on supervision, other programs incorporate advanced simulation centers, whereas others have a checklist approach. Although no single method has been proven best, the variability alone suggests that outcomes are variable. Program directors and certifying bodies need guidance to create standards for training programs. Little well-developed literature on the topic exists. METHODS: To provide credible and trustworthy guidance, rigorous methodology has been applied to create this bronchoscopy consensus training statement. All panelists were vetted and approved by the CHEST Guidelines Oversight Committee. Each topic group drafted questions in a PICO (population, intervention, comparator, outcome) format. MEDLINE data through PubMed and the Cochrane Library were systematically searched. Manual searches also supplemented the searches. All gathered references were screened for consideration based on inclusion criteria, and all statements were designated as an Ungraded Consensus-Based Statement. RESULTS: We suggest that professional societies move from a volume-based certification system to skill acquisition and knowledge-based competency assessment for trainees. Bronchoscopy training programs should incorporate multiple tools, including simulation. We suggest that ongoing quality and process improvement systems be introduced and that certifying agencies move from a volume-based certification system to skill acquisition and knowledge-based competency assessment for trainees. We also suggest that assessment of skill maintenance and improvement in practice be evaluated regularly with ongoing quality and process improvement systems after initial skill acquisition. CONCLUSIONS: The current methods used for bronchoscopy competency in training programs are variable. We suggest that professional societies and certifying agencies move from a volume- based certification system to a standardized skill acquisition and knowledge-based competency assessment for pulmonary and thoracic surgery trainees. PMID:25674901
The Teacher Aide is Special. Workbook for Why Not Competence? A Guide for Training Special Education Aides. Trainees Manual.

ERIC Educational Resources Information Center

Semrau, Barbara L.; And Others

Designed for special education teacher aides, the workbook is the basic text for a five module, competency based, inservice training program. The first module focuses on the role of the teacher and the teacher aide as a team in serving handicapped children. The second module stresses the characteristics of normal child development and the…
Another Way To View Child Development: An Interactive Approach to the Integration of the Sensorimotor System, Communication and Temperament. Project Ta-kos.

ERIC Educational Resources Information Center

Yoches, Betty; Luera, Margarita

The purpose of this training manual is to assist parents and professionals in understanding how a child's temperament, sensorimotor system, and communication system support each other in helping the child develop a solid foundation for normal growth and development. Training is based on the premise that awareness of the interaction and integration…
Comparison of Pictorial Techniques for Guiding Performance During Training.

ERIC Educational Resources Information Center

Miller, Elmo E.

An experimental program was conducted to develop effective methods for producing and utilizing filmed demonstrations and instructional manuals. Four variations on conventional filmed demonstrations were evaluated: 1) revising an Army film through repeated tryouts with novices, 2) stopping the projector after each step is demonstrated to allow…
Procedures Handbook for Elementary School IMC Clerks. Revised.

ERIC Educational Resources Information Center

Allen, Christine

This training manual describes and explains the variety of tasks performed by library clerks in the Riverside (California) Unified School District's elementary school instructional media centers (IMCs). It is noted that the job responsibilities of these clerks fall into four areas with specific duties relating to each: maintenance of the…
Working in Pharmacies. Student's Manual.

ERIC Educational Resources Information Center

Driever, Carl W.; McClaugherty, Larry

This publication, one of a series of self-contained instructional materials for students enrolled in training within the allied health field, includes competencies that are associated with the performance of skills by students beginning the study of pharmacy assistance. It is intended to be used for individualized instruction under the supervision…
Training Manuals and Technical Publications.

ERIC Educational Resources Information Center

Army Test and Evaluation Command, Aberdeen Proving Ground, MD.

The objective of the Materiel Test Procedure is to describe methods for determining the need for adequacy of comprehensiveness, and clarity of training manuals and technical publications (or other pertinent types of literature) relating to the ammunition or ammunition components being tested. (Author)
Deriving a probabilistic syntacto-semantic grammar for biomedicine based on domain-specific terminologies

PubMed Central

Fan, Jung-Wei; Friedman, Carol

2011-01-01

Biomedical natural language processing (BioNLP) is a useful technique that unlocks valuable information stored in textual data for practice and/or research. Syntactic parsing is a critical component of BioNLP applications that rely on correctly determining the sentence and phrase structure of free text. In addition to dealing with the vast amount of domain-specific terms, a robust biomedical parser needs to model the semantic grammar to obtain viable syntactic structures. With either a rule-based or corpus-based approach, the grammar engineering process requires substantial time and knowledge from experts, and does not always yield a semantically transferable grammar. To reduce the human effort and to promote semantic transferability, we propose an automated method for deriving a probabilistic grammar based on a training corpus consisting of concept strings and semantic classes from the Unified Medical Language System (UMLS), a comprehensive terminology resource widely used by the community. The grammar is designed to specify noun phrases only due to the nominal nature of the majority of biomedical terminological concepts. Evaluated on manually parsed clinical notes, the derived grammar achieved a recall of 0.644, precision of 0.737, and average cross-bracketing of 0.61, which demonstrated better performance than a control grammar with the semantic information removed. Error analysis revealed shortcomings that could be addressed to improve performance. The results indicated the feasibility of an approach which automatically incorporates terminology semantics in the building of an operational grammar. Although the current performance of the unsupervised solution does not adequately replace manual engineering, we believe once the performance issues are addressed, it could serve as an aide in a semi-supervised solution. PMID:21549857
Child Centred Approach to Climate Change and Health Adaptation through Schools in Bangladesh: A Cluster Randomised Intervention Trial

PubMed Central

Kabir, Md Iqbal; Rahman, Md Bayzidur; Smith, Wayne; Lusha, Mirza Afreen Fatima; Milton, Abul Hasnat

2015-01-01

Background Bangladesh is one of the most vulnerable countries to climate change. People are getting educated at different levels on how to deal with potential impacts. One such educational mode was the preparation of a school manual, for high school students on climate change and health protection endorsed by the National Curriculum and Textbook Board, which is based on a 2008 World Health Organization manual. The objective of this study was to test the effectiveness of the manual in increasing the knowledge level of the school children about climate change and health adaptation. Methods This cluster randomized intervention trial involved 60 schools throughout Bangladesh, with 3293 secondary school students participating. School upazilas (sub-districts) were randomised into intervention and control groups, and two schools from each upazila were randomly selected. All year seven students from both groups of schools sat for a pre-test of 30 short questions of binary response. A total of 1515 students from 30 intervention schools received the intervention through classroom training based on the school manual and 1778 students of the 30 control schools did not get the manual but a leaflet on climate change and health issues. Six months later, a post-intervention test of the same questionnaire used in the pre-test was performed at both intervention and control schools. The pre and post test scores were analysed along with the demographic data by using random effects model. Results None of the various school level and student level variables were significantly different between the control and intervention group. However, the intervention group had a 17.42% (95% CI: 14.45 to 20.38, P = <0.001) higher score in the post-test after adjusting for pre-test score and other covariates in a multi-level linear regression model. Conclusions These results suggest that school-based intervention for climate change and health adaptation is effective for increasing the knowledge level of school children on this topic. PMID:26252381
Child Centred Approach to Climate Change and Health Adaptation through Schools in Bangladesh: A Cluster Randomised Intervention Trial.

PubMed

Kabir, Md Iqbal; Rahman, Md Bayzidur; Smith, Wayne; Lusha, Mirza Afreen Fatima; Milton, Abul Hasnat

2015-01-01

Bangladesh is one of the most vulnerable countries to climate change. People are getting educated at different levels on how to deal with potential impacts. One such educational mode was the preparation of a school manual, for high school students on climate change and health protection endorsed by the National Curriculum and Textbook Board, which is based on a 2008 World Health Organization manual. The objective of this study was to test the effectiveness of the manual in increasing the knowledge level of the school children about climate change and health adaptation. This cluster randomized intervention trial involved 60 schools throughout Bangladesh, with 3293 secondary school students participating. School upazilas (sub-districts) were randomised into intervention and control groups, and two schools from each upazila were randomly selected. All year seven students from both groups of schools sat for a pre-test of 30 short questions of binary response. A total of 1515 students from 30 intervention schools received the intervention through classroom training based on the school manual and 1778 students of the 30 control schools did not get the manual but a leaflet on climate change and health issues. Six months later, a post-intervention test of the same questionnaire used in the pre-test was performed at both intervention and control schools. The pre and post test scores were analysed along with the demographic data by using random effects model. None of the various school level and student level variables were significantly different between the control and intervention group. However, the intervention group had a 17.42% (95% CI: 14.45 to 20.38, P = <0.001) higher score in the post-test after adjusting for pre-test score and other covariates in a multi-level linear regression model. These results suggest that school-based intervention for climate change and health adaptation is effective for increasing the knowledge level of school children on this topic.
A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.

PubMed

Storelli, L; Pagani, E; Rocca, M A; Horsfield, M A; Gallo, A; Bisecco, A; Battaglini, M; De Stefano, N; Vrenken, H; Thomas, D L; Mancini, L; Ropele, S; Enzinger, C; Preziosa, P; Filippi, M

2016-07-21

The automatic segmentation of MS lesions could reduce time required for image processing together with inter- and intraoperator variability for research and clinical trials. A multicenter validation of a proposed semiautomatic method for hyperintense MS lesion segmentation on dual-echo MR imaging is presented. The classification technique used is based on a region-growing approach starting from manual lesion identification by an expert observer with a final segmentation-refinement step. The method was validated in a cohort of 52 patients with relapsing-remitting MS, with dual-echo images acquired in 6 different European centers. We found a mathematic expression that made the optimization of the method independent of the need for a training dataset. The automatic segmentation was in good agreement with the manual segmentation (dice similarity coefficient = 0.62 and root mean square error = 2 mL). Assessment of the segmentation errors showed no significant differences in algorithm performance between the different MR scanner manufacturers (P > .05). The method proved to be robust, and no center-specific training of the algorithm was required, offering the possibility for application in a clinical setting. Adoption of the method should lead to improved reliability and less operator time required for image analysis in research and clinical trials in MS. © 2016 American Society of Neuroradiology.
Soldier Performance in Continuous Operations. Administrative Manual for a Briefing and Seminar for Command and Staff Personnel

DTIC Science & Technology

1985-07-01

requirements entails a coordi- nated set of activities 2. Realistic continuous combat training creates a need for integrated scheduling 3. For some...what ways might the performance degradation resulting from continuous combat create unexpected problems in Com- mand coordination? * Uneven performance...visual experiences or hallucinations after 3 since the beginning of time. Man then is the "weak days, they were unable to communicate verbally, their
PC Rider. A Training Manual. Training for Development. Peace Corps Information Collection & Exchange Training Manual No. T-36.

ERIC Educational Resources Information Center

Peace Corps, Washington, DC. Information Collection and Exchange Div.

This booklet provides information on safe motorcycle operation and accident prevention. Its special focus is on Peace Corps volunteers who operate motorcycles in West Africa. A discussion of how a motorcyclist can minimize risks focuses on the "invisible motorcycle" and basic safety precautions. A section with riding tips is divided…
Fire Problems in High-Rise Buildings. California Fire Service Training Program.

ERIC Educational Resources Information Center

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

Resulting from a conference concerned with high-rise fire problems, this manual has been prepared as a fire department training manual and as a reference for students enrolled in fire service training courses. Information is provided for topics dealing with: (1) Typical Fire Problems in High-Rise Buildings, (2) Heat, (3) Smoke and Fire Gases, (4)…
Technical Guidelines and References: Crops Training Component. From: Agricultural Development Workers Training Manual. Volume III: Crops.

ERIC Educational Resources Information Center

Peace Corps, Washington, DC. Information Collection and Exchange Div.

This reference manual for training Peace Corps agricultural development workers deals with crops. The document begins with common units of area, length, weight, volume, and conversions between them. A practice problem is worked and other conversion problems are given. The second section is intended to show agricultural field workers how to survey…
Tradevman 1 & C. Naval Education and Training Command. Rate Training Manual and Nonresident Career Course. Revised.

ERIC Educational Resources Information Center

Naval Education and Training Command, Washington, DC.

Designed as a self-study text for enlisted personnel of the Navy and Naval Reserve, this rate training manual presents information that is directly related to the professional standards for advancement to Petty Officer Third Class and Petty Officer Second Class in the Tradevman (TD) rating. (Tradevmen install, repair, modify, and maintain…

Training Program for Individuals Working with Older American Indians Who Are Blind or Visually Impaired. Training Manual.

ERIC Educational Resources Information Center

White, Keith; And Others

This manual is intended for people who are preparing to work with older American Indians with visual impairments and who have limited or no training in this area. Emphasis is on basic orientation and mobility skills and daily living skills. Preliminary information covers the following: the eye, definitions, the visually impaired population, and…
Opticalman 3 & 2, Naval Education and Training Command Rate Training Manual and Nonresident Career Course. Revised, 1979.

ERIC Educational Resources Information Center

Naval Education and Training Program Development Center, Pensacola, FL.

This document contains a U.S. Navy Rate Training Manual and Nonresident Career Course which form a self-study package to teach the theoretical knowledge and mental skills needed by the Opticalman Third Class and Opticalman Second Class. (Opticalmen maintain, repair, and overhaul telescopic alidades, azimuth and bearing circles, binoculars,…
Manual for the Training of United States Fisheries Observer Corps Atlantic Region. Marine Bulletin 33.

ERIC Educational Resources Information Center

Merdinyan, Mark E.; Mortimer, Christine D.

This manual has been produced for use in a four-week training program developed by University of Rhode Island fisheries educators for the training of United States citizens in the duties and responsibilities of observers placed on foreign fishing vessels operating in the Fisheries Conservation Zone in the Atlantic Region. The program combines…
TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches

NASA Astrophysics Data System (ADS)

Lindner, Lydia; Pfarrkirchner, Birgit; Gsaxner, Christina; Schmalstieg, Dieter; Egger, Jan

2018-03-01

Accurate segmentation and measurement of brain tumors plays an important role in clinical practice and research, as it is critical for treatment planning and monitoring of tumor growth. However, brain tumor segmentation is one of the most challenging tasks in medical image analysis. Since manual segmentations are subjective, time consuming and neither accurate nor reliable, there exists a need for objective, robust and fast automated segmentation methods that provide competitive performance. Therefore, deep learning based approaches are gaining interest in the field of medical image segmentation. When the training data set is large enough, deep learning approaches can be extremely effective, but in domains like medicine, only limited data is available in the majority of cases. Due to this reason, we propose a method that allows to create a large dataset of brain MRI (Magnetic Resonance Imaging) images containing synthetic brain tumors - glioblastomas more specifically - and the corresponding ground truth, that can be subsequently used to train deep neural networks.
Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement

NASA Astrophysics Data System (ADS)

Yin, Yin; Fotin, Sergei V.; Periaswamy, Senthil; Kunz, Justin; Haldankar, Hrishikesh; Muradyan, Naira; Cornud, François; Turkbey, Baris; Choyke, Peter

2012-02-01

Manual delineation of the prostate is a challenging task for a clinician due to its complex and irregular shape. Furthermore, the need for precisely targeting the prostate boundary continues to grow. Planning for radiation therapy, MR-ultrasound fusion for image-guided biopsy, multi-parametric MRI tissue characterization, and context-based organ retrieval are examples where accurate prostate delineation can play a critical role in a successful patient outcome. Therefore, a robust automated full prostate segmentation system is desired. In this paper, we present an automated prostate segmentation system for 3D MR images. In this system, the prostate is segmented in two steps: the prostate displacement and size are first detected, and then the boundary is refined by a shape model. The detection approach is based on normalized gradient fields cross-correlation. This approach is fast, robust to intensity variation and provides good accuracy to initialize a prostate mean shape model. The refinement model is based on a graph-search based framework, which contains both shape and topology information during deformation. We generated the graph cost using trained classifiers and used coarse-to-fine search and region-specific classifier training. The proposed algorithm was developed using 261 training images and tested on another 290 cases. The segmentation performance using mean DSC ranging from 0.89 to 0.91 depending on the evaluation subset demonstrates state of the art performance. Running time for the system is about 20 to 40 seconds depending on image size and resolution.
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.

PubMed

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

2018-05-09

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

PubMed

Fayyad, John A; Farah, Lynn; Cassir, Youmna; Salamoun, Mariana M; Karam, Elie G

2010-08-01

This project describes the dissemination of an evidence-based parenting skills intervention by training social and health workers with little or no mental health background so that they themselves train mothers of children with behavioral problems in impoverished communities in a developing country. The Strengths and Difficulties Questionnaire was completed by mothers to screen for children with behavioral problems and was repeated at the end of the intervention. Pre- and post-tests of knowledge and parenting attitudes were administered to mothers. Mental health workers trained social and health workers in social development centers and dispensaries. Each social and health worker trained mothers of children with behavioral problems under supervision utilizing an Arabic adaptation of the treatment manual for externalizing disorders "Helping Challenging Children" developed by the Integrated Services Taskforce of the World Psychiatric Association Child Mental Health Presidential Programme. A total of 20 workers and 87 mothers participated in the training. The proportion of children who obtained an SDQ total difficulties score in the abnormal range decreased from 54.4 to 19.7% after the training. Whereas 40.2% of mothers used severe corporal punishment with their children before the intervention, this decreased to 6.1% post-intervention. Three-fourths of mothers related that the program helped them develop new parenting skills. This pilot project demonstrated the feasibility of dissemination of a manual-based intervention and training of workers who have little background in mental health to offer effective services to families in impoverished communities who otherwise would have not received them. Successful replication in other developing countries would pave the way to incorporating such programs in national policies given their potential sustainability and cost-effectiveness.
Lesion Detection in CT Images Using Deep Learning Semantic Segmentation Technique

NASA Astrophysics Data System (ADS)

Kalinovsky, A.; Liauchuk, V.; Tarasau, A.

2017-05-01

In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For training and testing of the algorithms a domestic dataset of 338 3D CT scans of tuberculosis patients with manually labelled lesions was used. The algorithms which are based on using Deep Convolutional Networks were implemented and applied in three different ways including slice-wise lesion detection in 2D images using semantic segmentation, slice-wise lesion detection in 2D images using sliding window technique as well as straightforward detection of lesions via semantic segmentation in whole 3D CT scans. The algorithms demonstrate superior performance compared to algorithms based on conventional image analysis methods.
Automated search of control points in surface-based morphometry.

PubMed

Canna, Antonietta; Russo, Andrea G; Ponticorvo, Sara; Manara, Renzo; Pepino, Alessandro; Sansone, Mario; Di Salle, Francesco; Esposito, Fabrizio

2018-04-16

Cortical surface-based morphometry is based on a semi-automated analysis of structural MRI images. In FreeSurfer, a widespread tool for surface-based analyses, a visual check of gray-white matter borders is followed by the manual placement of control points to drive the topological correction (editing) of segmented data. A novel algorithm combining radial sampling and machine learning is presented for the automated control point search (ACPS). Four data sets with 3 T MRI structural images were used for ACPS validation, including raw data acquired twice in 36 healthy subjects and both raw and FreeSurfer preprocessed data of 125 healthy subjects from public databases. The unedited data from a subgroup of subjects were submitted to manual control point search and editing. The ACPS algorithm was trained on manual control points and tested on new (unseen) unedited data. Cortical thickness (CT) and fractal dimensionality (FD) were estimated in three data sets by reconstructing surfaces from both unedited and edited data, and the effects of editing were compared between manual and automated editing and versus no editing. The ACPS-based editing improved the surface reconstructions similarly to manual editing. Compared to no editing, ACPS-based and manual editing significantly reduced CT and FD in consistent regions across different data sets. Despite the extra processing of control point driven reconstructions, CT and FD estimates were highly reproducible in almost all cortical regions, albeit some problematic regions (e.g. entorhinal cortex) may benefit from different editing. The use of control points improves the surface reconstruction and the ACPS algorithm can automate their search reducing the burden of manual editing. Copyright © 2018 Elsevier Inc. All rights reserved.
Partnering for Quality under the Workforce Investment Act: A Tool Kit for One-Stop System Building. Module 5: Building a Process for Continuous Improvement. Training Manual with Participant Workbook.

ERIC Educational Resources Information Center

Kogan, Deborah; Koller, Vinz; Kozumplik, Richalene; Lawrence, Mary Ann

This document is part of a five-module training package to help employment and training service providers comply with the Workforce Investment Act (WIA) of 1998 and develop a one-stop training and employment services system. It consists of the participant workbook, trainer manual, and activity worksheets for a module on building a process for…
Corpus callosum segmentation using deep neural networks with prior information from multi-atlas images

NASA Astrophysics Data System (ADS)

Park, Gilsoon; Hong, Jinwoo; Lee, Jong-Min

2018-03-01

In human brain, Corpus Callosum (CC) is the largest white matter structure, connecting between right and left hemispheres. Structural features such as shape and size of CC in midsagittal plane are of great significance for analyzing various neurological diseases, for example Alzheimer's disease, autism and epilepsy. For quantitative and qualitative studies of CC in brain MR images, robust segmentation of CC is important. In this paper, we present a novel method for CC segmentation. Our approach is based on deep neural networks and the prior information generated from multi-atlas images. Deep neural networks have recently shown good performance in various image processing field. Convolutional neural networks (CNN) have shown outstanding performance for classification and segmentation in medical image fields. We used convolutional neural networks for CC segmentation. Multi-atlas based segmentation model have been widely used in medical image segmentation because atlas has powerful information about the target structure we want to segment, consisting of MR images and corresponding manual segmentation of the target structure. We combined the prior information, such as location and intensity distribution of target structure (i.e. CC), made from multi-atlas images in CNN training process for more improving training. The CNN with prior information showed better segmentation performance than without.
The successful evolution of a voluntary vessel safety program in the USA.

PubMed

Hughes, Leslie

2006-01-01

The North Pacific Fishing Vessel Owners' Association (NPFVOA) is a non-profit association dedicated to safety education and training for commercial fishermen and other mariners. Funding is provided primarily through member contributions and also through tuition fees and sales of materials. Members are primarily fishing vessel owners and fishing-related companies, from small salmon boats with single operators to large processing ships with crews of 150 or more. The Association also works together with insurance underwriters and brokers, maritime attorneys and fishing industry support businesses. It works closely with the United States Coast Guard, the Occupational Safety and Health Administration (OSHA) of the United States Department of Labor, the National Institute for Occupational Safety and Health (NIOSH), and many state agencies. There are three primary components of the NPFVOA Vessel Safety Program--a comprehensive safety manual, a series of safety and survival at sea videotapes, and a crew training program. The vessel safety manual includes 300 pages of text and illustrations covering subjects ranging from vessel familiarity for deckhands to stability for the owner and skipper. It is based on the experience of those who have fished the Bering Sea and the North Pacific. The manual calls for vessel owners and skippers to adopt safety practices specific to the vessel's characteristics and service, the waters fished, the season fished and the experience of the crew. The safety and survival videotape series is designed to complement hands-on training classes. The crew training program uses hands-on practice to dramatize and enliven the information presented in the manual and on the videotapes. Courses are designed to be portable and conducted in numerous ports and states. The NPFVOA also publishes a quarterly newsletter covering its safety program, other relevant safety information and reports of lessons learned from serious fishing vessel accidents.
Sentiment analysis of Chinese microblogging based on sentiment ontology: a case study of `7.23 Wenzhou Train Collision'

NASA Astrophysics Data System (ADS)

Shi, Wei; Wang, Hongwei; He, Shaoyi

2013-12-01

Sentiment analysis of microblogging texts can facilitate both organisations' public opinion monitoring and governments' response strategies development. Nevertheless, most of the existing analysis methods are conducted on Twitter, lacking of sentiment analysis of Chinese microblogging (Weibo), and they generally rely on a large number of manually annotated training or machine learning to perform sentiment classification, yielding with difficulties in application. This paper addresses these problems and employs a sentiment ontology model to examine sentiment analysis of Chinese microblogging. We conduct a sentiment analysis of all public microblogging posts about '7.23 Wenzhou Train Collision' broadcasted by Sina microblogging users between 23 July and 1 August 2011. For every day in this time period, we first extract eight dimensions of sentiment (expect, joy, love, surprise, anxiety, sorrow, angry, and hate), and then build fuzzy sentiment ontology based on HowNet and semantic similarity for sentiment analysis; we also establish computing methods of influence and sentiment of microblogging texts; and we finally explore the change of public sentiment after '7.23 Wenzhou Train Collision'. The results show that the established sentiment analysis method has excellent application, and the change of different emotional values can reflect the success or failure of guiding the public opinion by the government.
Automated time activity classification based on global positioning system (GPS) tracking data

PubMed Central

2011-01-01

Background Air pollution epidemiological studies are increasingly using global positioning system (GPS) to collect time-location data because they offer continuous tracking, high temporal resolution, and minimum reporting burden for participants. However, substantial uncertainties in the processing and classifying of raw GPS data create challenges for reliably characterizing time activity patterns. We developed and evaluated models to classify people's major time activity patterns from continuous GPS tracking data. Methods We developed and evaluated two automated models to classify major time activity patterns (i.e., indoor, outdoor static, outdoor walking, and in-vehicle travel) based on GPS time activity data collected under free living conditions for 47 participants (N = 131 person-days) from the Harbor Communities Time Location Study (HCTLS) in 2008 and supplemental GPS data collected from three UC-Irvine research staff (N = 21 person-days) in 2010. Time activity patterns used for model development were manually classified by research staff using information from participant GPS recordings, activity logs, and follow-up interviews. We evaluated two models: (a) a rule-based model that developed user-defined rules based on time, speed, and spatial location, and (b) a random forest decision tree model. Results Indoor, outdoor static, outdoor walking and in-vehicle travel activities accounted for 82.7%, 6.1%, 3.2% and 7.2% of manually-classified time activities in the HCTLS dataset, respectively. The rule-based model classified indoor and in-vehicle travel periods reasonably well (Indoor: sensitivity > 91%, specificity > 80%, and precision > 96%; in-vehicle travel: sensitivity > 71%, specificity > 99%, and precision > 88%), but the performance was moderate for outdoor static and outdoor walking predictions. No striking differences in performance were observed between the rule-based and the random forest models. The random forest model was fast and easy to execute, but was likely less robust than the rule-based model under the condition of biased or poor quality training data. Conclusions Our models can successfully identify indoor and in-vehicle travel points from the raw GPS data, but challenges remain in developing models to distinguish outdoor static points and walking. Accurate training data are essential in developing reliable models in classifying time-activity patterns. PMID:22082316
Automated time activity classification based on global positioning system (GPS) tracking data.

PubMed

Wu, Jun; Jiang, Chengsheng; Houston, Douglas; Baker, Dean; Delfino, Ralph

2011-11-14

Air pollution epidemiological studies are increasingly using global positioning system (GPS) to collect time-location data because they offer continuous tracking, high temporal resolution, and minimum reporting burden for participants. However, substantial uncertainties in the processing and classifying of raw GPS data create challenges for reliably characterizing time activity patterns. We developed and evaluated models to classify people's major time activity patterns from continuous GPS tracking data. We developed and evaluated two automated models to classify major time activity patterns (i.e., indoor, outdoor static, outdoor walking, and in-vehicle travel) based on GPS time activity data collected under free living conditions for 47 participants (N = 131 person-days) from the Harbor Communities Time Location Study (HCTLS) in 2008 and supplemental GPS data collected from three UC-Irvine research staff (N = 21 person-days) in 2010. Time activity patterns used for model development were manually classified by research staff using information from participant GPS recordings, activity logs, and follow-up interviews. We evaluated two models: (a) a rule-based model that developed user-defined rules based on time, speed, and spatial location, and (b) a random forest decision tree model. Indoor, outdoor static, outdoor walking and in-vehicle travel activities accounted for 82.7%, 6.1%, 3.2% and 7.2% of manually-classified time activities in the HCTLS dataset, respectively. The rule-based model classified indoor and in-vehicle travel periods reasonably well (Indoor: sensitivity > 91%, specificity > 80%, and precision > 96%; in-vehicle travel: sensitivity > 71%, specificity > 99%, and precision > 88%), but the performance was moderate for outdoor static and outdoor walking predictions. No striking differences in performance were observed between the rule-based and the random forest models. The random forest model was fast and easy to execute, but was likely less robust than the rule-based model under the condition of biased or poor quality training data. Our models can successfully identify indoor and in-vehicle travel points from the raw GPS data, but challenges remain in developing models to distinguish outdoor static points and walking. Accurate training data are essential in developing reliable models in classifying time-activity patterns.
WE-AB-BRA-05: Fully Automatic Segmentation of Male Pelvic Organs On CT Without Manual Intervention

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

Gao, Y; Lian, J; Chen, R

Purpose: We aim to develop a fully automatic tool for accurate contouring of major male pelvic organs in CT images for radiotherapy without any manual initialization, yet still achieving superior performance than the existing tools. Methods: A learning-based 3D deformable shape model was developed for automatic contouring. Specifically, we utilized a recent machine learning method, random forest, to jointly learn both image regressor and classifier for each organ. In particular, the image regressor is trained to predict the 3D displacement from each vertex of the 3D shape model towards the organ boundary based on the local image appearance around themore » location of this vertex. The predicted 3D displacements are then used to drive the 3D shape model towards the target organ. Once the shape model is deformed close to the target organ, it is further refined by an organ likelihood map estimated by the learned classifier. As the organ likelihood map provides good guideline for the organ boundary, the precise contouring Result could be achieved, by deforming the 3D shape model locally to fit boundaries in the organ likelihood map. Results: We applied our method to 29 previously-treated prostate cancer patients, each with one planning CT scan. Compared with manually delineated pelvic organs, our method obtains overlap ratios of 85.2%±3.74% for the prostate, 94.9%±1.62% for the bladder, and 84.7%±1.97% for the rectum, respectively. Conclusion: This work demonstrated feasibility of a novel machine-learning based approach for accurate and automatic contouring of major male pelvic organs. It shows the potential to replace the time-consuming and inconsistent manual contouring in the clinic. Also, compared with the existing works, our method is more accurate and also efficient since it does not require any manual intervention, such as manual landmark placement. Moreover, our method obtained very similar contouring results as the clinical experts. Project is partially support by a grant from NCI 1R01CA140413.« less
Rapid Object Detection Systems, Utilising Deep Learning and Unmanned Aerial Systems (uas) for Civil Engineering Applications

NASA Astrophysics Data System (ADS)

Griffiths, D.; Boehm, J.

2018-05-01

With deep learning approaches now out-performing traditional image processing techniques for image understanding, this paper accesses the potential of rapid generation of Convolutional Neural Networks (CNNs) for applied engineering purposes. Three CNNs are trained on 275 UAS-derived and freely available online images for object detection of 3m2 segments of railway track. These includes two models based on the Faster RCNN object detection algorithm (Resnet and Incpetion-Resnet) as well as the novel onestage Focal Loss network architecture (Retinanet). Model performance was assessed with respect to three accuracy metrics. The first two consisted of Intersection over Union (IoU) with thresholds 0.5 and 0.1. The last assesses accuracy based on the proportion of track covered by object detection proposals against total track length. In under six hours of training (and two hours of manual labelling) the models detected 91.3 %, 83.1 % and 75.6 % of track in the 500 test images acquired from the UAS survey Retinanet, Resnet and Inception-Resnet respectively. We then discuss the potential for such applications of such systems within the engineering field for a range of scenarios.
Efficient detection of wound-bed and peripheral skin with statistical colour models.

PubMed

Veredas, Francisco J; Mesa, Héctor; Morente, Laura

2015-04-01

A pressure ulcer is a clinical pathology of localised damage to the skin and underlying tissue caused by pressure, shear or friction. Reliable diagnosis supported by precise wound evaluation is crucial in order to success on treatment decisions. This paper presents a computer-vision approach to wound-area detection based on statistical colour models. Starting with a training set consisting of 113 real wound images, colour histogram models are created for four different tissue types. Back-projections of colour pixels on those histogram models are used, from a Bayesian perspective, to get an estimate of the posterior probability of a pixel to belong to any of those tissue classes. Performance measures obtained from contingency tables based on a gold standard of segmented images supplied by experts have been used for model selection. The resulting fitted model has been validated on a training set consisting of 322 wound images manually segmented and labelled by expert clinicians. The final fitted segmentation model shows robustness and gives high mean performance rates [(AUC: .9426 (SD .0563); accuracy: .8777 (SD .0799); F-score: 0.7389 (SD .1550); Cohen's kappa: .6585 (SD .1787)] when segmenting significant wound areas that include healing tissues.
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation

NASA Astrophysics Data System (ADS)

Kiechle, Martin; Storath, Martin; Weinmann, Andreas; Kleinsteuber, Martin

2018-04-01

Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task. Therefore, it is desirable to automatically adapt the features to a certain image or class of images. Typically, this requires a large set of training images with similar textures and ground truth segmentation. In this work, we propose a framework to learn features for texture segmentation when no such training data is available. The cost function for our learning process is constructed to match a commonly used segmentation model, the piecewise constant Mumford-Shah model. This means that the features are learned such that they provide an approximately piecewise constant feature image with a small jump set. Based on this idea, we develop a two-stage algorithm which first learns suitable convolutional features and then performs a segmentation. We note that the features can be learned from a small set of images, from a single image, or even from image patches. The proposed method achieves a competitive rank in the Prague texture segmentation benchmark, and it is effective for segmenting histological images.
Promoviendo un Futuro Saludable: Manual de Entrenamiento para Educadores de Salud e Instructores que Trabajan con Jovenes Promotores de Salud, Jovenes Consejeros o Educadores y Voluntarios (Promoting a Healthy Future: Training Manual for Health Educators and Instructors Who Work with Young Health Promoters, Young Counselors or Educators and Volunteers).

ERIC Educational Resources Information Center

Duran, Carmen; Cuchi, Paloma

This manual is designed to help the Latino community in its work of incorporating young people into disease prevention efforts and health education. It provides basic information on 12 health themes along with suggestions and resource materials for the instructor. The young people trained through this manual may work in a number of education and…

Training Procedure Manual for the Mentally Retarded.

ERIC Educational Resources Information Center

Dustin, Josephine; And Others

Presented is a training procedure manual for institutionalized moderately, severely, and profoundly retarded persons. Teaching activities are suggested for the following skill areas: motor development and awareness (including sensory stimulation, mat skills, and music and basic rhythm); toileting; eating skills (such as straw sipping and table…
Training manuals for nondestructive testing using magnetic particles

NASA Technical Reports Server (NTRS)

1968-01-01

Training manuals containing the fundamentals of nondestructive testing using magnetic particle as detection media are used by metal parts inspectors and quality assurance specialists. Magnetic particle testing involves magnetization of the test specimen, application of the magnetic particle and interpretation of the patterns formed.
Tutor Training Program.

ERIC Educational Resources Information Center

Gill, Wanda E.

A tutor training program manual that is used at Bowie State College is presented. The manual covers the following: tutoring program objectives; general tutoring principles; general procedures the tutor should follow; including contacting the student and establishing rapport, guidelines concerning the tutors' attitudes and behavior; a few points to…
Applicator Training Manual for: Aerial Application of Pesticides.

ERIC Educational Resources Information Center

Overhults, Douglas G.

This training manual discusses both the advantages and limitations of aerial application of pesticides. Other topics included are: agricultural aircraft equipment, dispersal accessories, drift control, calibration, spray testing, granular materials testing, operations, and personal safety. Safety check lists are given for pilots, ground crew, and…
Microscopic Analysis of Activated Sludge. 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 use of a compound microscope to analyze microscope communities, present in wastewater treatment processes, for operational control. Course topics include: sampling techniques, sample handling, laboratory analysis, identification of organisms, data interpretation, and use of the compound microscope.…
Pesticide Applicator Training Manual, Category 7B: Termites and Other Wood Destroying Pests. A Training Program for the Certification of Commercial Pesticide Applicators, and Study Questions.

ERIC Educational Resources Information Center

Schmitt, John B.

This training manual provides information needed to meet the minimum EPA standards for certification as a commercial applicator of pesticides in the termite and wood destroying pest control category. The text discusses the importance, description, biology, and control of termites, powderpost beetles, house and warf borers, carpenter ants, and…
Occupational Training Plans for Disadvantaged and Handicapped Students in Vocational Education. A Manual for Use in Cooperative Work Experience Programs.

ERIC Educational Resources Information Center

Eley, Robert K., Ed.

This manual, developed to provide vocational instructors or coordinators with model training plans to be used to conduct concurrent work and education programs for disadvantaged and handicapped students, has the purposes of: (1) serving as a description of the kinds of content that should be included in a training plan, (2) serving as an example…
A Pilot Investigation Comparing Instructional Packages for MTS Training: "Manual Alone" vs. "Manual-Plus-Computer-Aided Personalized System of Instruction"

ERIC Educational Resources Information Center

Oliveira, Marileide; Goyos, Celso; Pear, Joseph

2012-01-01

Matching-to-sample (MTS) training consists of presenting a stimulus as a sample followed by stimuli called comparisons from which a subject makes a choice. This study presents results of a pilot investigation comparing two packages for teaching university students to conduct MTS training. Two groups--control and experimental--with 2 participants…
A qualitative analysis of the concepts of fidelity and adaptation in the implementation of an evidence-based HIV prevention intervention.

PubMed

Owczarzak, Jill; Broaddus, Michelle; Pinkerton, Steven

2016-04-01

Continued debate about the relative value of fidelity versus adaptation, and lack of clarity about the meaning of fidelity, raise concerns about how frontline service providers resolve similar issues in their daily practice. We use SISTA ('Sisters Informing Sisters on Topics about acquired immune deficiency syndrome'), an evidence-based human immunodeficiency virus (HIV) prevention intervention for African American women, to understand how facilitators and program directors interpret and enact implementation fidelity with the need for adaptation in real-world program delivery. We conducted 22 in-depth, semi-structured interviews with service providers from four agencies implementing SISTA. Facilitators valued their skills as group leaders and ability to emotionally engage participants as more critical to program effectiveness than delivering the intervention with strict fidelity. Consequently, they saw program manuals as guides rather than static texts that should never be changed and, moreover, viewed the prescriptive nature of manuals as undermining their efforts to fully engage with participants. Our findings suggest that greater consideration should be given to understanding the role of facilitators in program effectiveness over and above the question of whether they implement the program with fidelity. Moreover, training curricula should provide facilitators with transferable skills through general facilitator training rather than only program-specific or manual-specific training. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.
White matter lesion extension to automatic brain tissue segmentation on MRI.

PubMed

de Boer, Renske; Vrooman, Henri A; van der Lijn, Fedde; Vernooij, Meike W; Ikram, M Arfan; van der Lugt, Aad; Breteler, Monique M B; Niessen, Wiro J

2009-05-01

A fully automated brain tissue segmentation method is optimized and extended with white matter lesion segmentation. Cerebrospinal fluid (CSF), gray matter (GM) and white matter (WM) are segmented by an atlas-based k-nearest neighbor classifier on multi-modal magnetic resonance imaging data. This classifier is trained by registering brain atlases to the subject. The resulting GM segmentation is used to automatically find a white matter lesion (WML) threshold in a fluid-attenuated inversion recovery scan. False positive lesions are removed by ensuring that the lesions are within the white matter. The method was visually validated on a set of 209 subjects. No segmentation errors were found in 98% of the brain tissue segmentations and 97% of the WML segmentations. A quantitative evaluation using manual segmentations was performed on a subset of 6 subjects for CSF, GM and WM segmentation and an additional 14 for the WML segmentations. The results indicated that the automatic segmentation accuracy is close to the interobserver variability of manual segmentations.
Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors.

PubMed

Okada, Toshiyuki; Linguraru, Marius George; Hori, Masatoshi; Summers, Ronald M; Tomiyama, Noriyuki; Sato, Yoshinobu

2013-01-01

The paper addresses the automated segmentation of multiple organs in upper abdominal CT data. We propose a framework of multi-organ segmentation which is adaptable to any imaging conditions without using intensity information in manually traced training data. The features of the framework are as follows: (1) the organ correlation graph (OCG) is introduced, which encodes the spatial correlations among organs inherent in human anatomy; (2) the patient-specific organ shape and location priors obtained using OCG enable the estimation of intensity priors from only target data and optionally a number of untraced CT data of the same imaging condition as the target data. The proposed methods were evaluated through segmentation of eight abdominal organs (liver, spleen, left and right kidney, pancreas, gallbladder, aorta, and inferior vena cava) from 86 CT data obtained by four imaging conditions at two hospitals. The performance was comparable to the state-of-the-art method using intensity priors constructed from manually traced data.
Manual cleaning of hospital mattresses: an observational study comparing high- and low-resource settings.

PubMed

Hopman, J; Hakizimana, B; Meintjes, W A J; Nillessen, M; de Both, E; Voss, A; Mehtar, S

2016-01-01

Hospital-associated infections (HAIs) are more frequently encountered in low- than in high-resource settings. There is a need to identify and implement feasible and sustainable approaches to strengthen HAI prevention in low-resource settings. To evaluate the biological contamination of routinely cleaned mattresses in both high- and low-resource settings. In this two-stage observational study, routine manual bed cleaning was evaluated at two university hospitals using adenosine triphosphate (ATP). Standardized training of cleaning personnel was achieved in both high- and low-resource settings. Qualitative analysis of the cleaning process was performed to identify predictors of cleaning outcome in low-resource settings. Mattresses in low-resource settings were highly contaminated prior to cleaning. Cleaning significantly reduced biological contamination of mattresses in low-resource settings (P < 0.0001). After training, the contamination observed after cleaning in both the high- and low-resource settings seemed comparable. Cleaning with appropriate type of cleaning materials reduced the contamination of mattresses adequately. Predictors for mattresses that remained contaminated in a low-resource setting included: type of product used, type of ward, training, and the level of contamination prior to cleaning. In low-resource settings mattresses were highly contaminated as noted by ATP levels. Routine manual cleaning by trained staff can be as effective in a low-resource setting as in a high-resource setting. We recommend a multi-modal cleaning strategy that consists of training of domestic services staff, availability of adequate time to clean beds between patients, and application of the correct type of cleaning products. Copyright © 2015 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.

PubMed

Araki, Tadashi; Kumar, P Krishna; Suri, Harman S; Ikeda, Nobutaka; Gupta, Ajay; Saba, Luca; Rajan, Jeny; Lavra, Francesco; Sharma, Aditya M; Shafique, Shoaib; Nicolaides, Andrew; Laird, John R; Suri, Jasjit S

2016-07-01

The degree of stenosis in the carotid artery can be predicted using automated carotid lumen diameter (LD) measured from B-mode ultrasound images. Systolic velocity-based methods for measurement of LD are subjective. With the advancement of high resolution imaging, image-based methods have started to emerge. However, they require robust image analysis for accurate LD measurement. This paper presents two different algorithms for automated segmentation of the lumen borders in carotid ultrasound images. Both algorithms are modeled as a two stage process. Stage one consists of a global-based model using scale-space framework for the extraction of the region of interest. This stage is common to both algorithms. Stage two is modeled using a local-based strategy that extracts the lumen interfaces. At this stage, the algorithm-1 is modeled as a region-based strategy using a classification framework, whereas the algorithm-2 is modeled as a boundary-based approach that uses the level set framework. Two sets of databases (DB), Japan DB (JDB) (202 patients, 404 images) and Hong Kong DB (HKDB) (50 patients, 300 images) were used in this study. Two trained neuroradiologists performed manual LD tracings. The mean automated LD measured was 6.35 ± 0.95 mm for JDB and 6.20 ± 1.35 mm for HKDB. The precision-of-merit was: 97.4 % and 98.0 % w.r.t to two manual tracings for JDB and 99.7 % and 97.9 % w.r.t to two manual tracings for HKDB. Statistical tests such as ANOVA, Chi-Squared, T-test, and Mann-Whitney test were conducted to show the stability and reliability of the automated techniques.
Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis

NASA Astrophysics Data System (ADS)

Shahedi, Maysam; Fenster, Aaron; Cool, Derek W.; Romagnoli, Cesare; Ward, Aaron D.

2013-03-01

3D segmentation of the prostate in medical images is useful to prostate cancer diagnosis and therapy guidance, but is time-consuming to perform manually. Clinical translation of computer-assisted segmentation algorithms for this purpose requires a comprehensive and complementary set of evaluation metrics that are informative to the clinical end user. We have developed an interactive 3D prostate segmentation method for 1.5T and 3.0T T2-weighted magnetic resonance imaging (T2W MRI) acquired using an endorectal coil. We evaluated our method against manual segmentations of 36 3D images using complementary boundary-based (mean absolute distance; MAD), regional overlap (Dice similarity coefficient; DSC) and volume difference (ΔV) metrics. Our technique is based on inter-subject prostate shape and local boundary appearance similarity. In the training phase, we calculated a point distribution model (PDM) and a set of local mean intensity patches centered on the prostate border to capture shape and appearance variability. To segment an unseen image, we defined a set of rays - one corresponding to each of the mean intensity patches computed in training - emanating from the prostate centre. We used a radial-based search strategy and translated each mean intensity patch along its corresponding ray, selecting as a candidate the boundary point with the highest normalized cross correlation along each ray. These boundary points were then regularized using the PDM. For the whole gland, we measured a mean+/-std MAD of 2.5+/-0.7 mm, DSC of 80+/-4%, and ΔV of 1.1+/-8.8 cc. We also provided an anatomic breakdown of these metrics within the prostatic base, mid-gland, and apex.
WMO's activities in gender mainstreaming in geosciences, with a special focus on integrated flood management

NASA Astrophysics Data System (ADS)

Manaenkova, Elena; Caponi, Claudio; Alexieva, Assia; Poissonnier, Maud; Tripathi, Ramesh

2017-04-01

Statistics show that women represent a minority in science, technology, engineering and mathematics (STEM). They are significantly underrepresented in governance, management and international negotiations. They further comprise only a third of the global workforce at National Meteorological and Hydrological Services and only one out of five senior managers is a woman. This paper presents historical trends and statistics on the participation of women and men in all structures and activities of the World Meteorological Organization (WMO). It explores the root causes of women's underrepresentation in the meteorological, hydrological and climatological profession as well as analyzes its adverse effects in terms of the scarcity of role models for young female professionals and the lack of gender considerations in the provision of weather, hydrological and climate services. The paper presents WMO's approach to addressing these issues through the adoption of a WMO Gender Equality Policy, a comprehensive Gender Action Plan, targeted leadership training, a series of awareness raising campaigns, and specific recommendations on how to make weather, hydrological and climate services more gender-sensitive. As a specific example, the Associated Programme on Flood Management (APFM) of WMO and the Global Water Partnership (GWP) is in the process of developing a training manual for gender mainstreaming in integrated flood management. This generic, instructive, at the same time informative training manual and facilitator's guide will strive to fill gaps in practical knowledge, decision-making and further provide assistance in gender sensitive approaches for both local policy makers and communities affected by floods. The format and contents of the manual are particularly focused on every phase of the flood management cycle, incorporating gender based needs, strategies and actions/approaches. The facilitator or training instructor is encouraged to adapt the materials with local case studies for conducting short exercises with the intended participants (women and men) using a participatory design approach. Keywords: Meteorological, Hydrological, Climatological, Gender equality, Integrated flood management, Training manual, Participatory design
Electrician's Mate 3 & 2: Rate Training Manual.

ERIC Educational Resources Information Center

Naval Education and Training Command, Pensacola, FL.

The training manual provides information related to the tasks assigned to the Electrician's Mate Third and Second Class who operate and maintain power and lighting systems and associated equipment. Individual chapters deal with: career challenges for the Electrician's Mate, safety precautions, test equipment, electrical installations, A-C power…
Merchandising. Michigan School Food Service Training Manual.

ERIC Educational Resources Information Center

Michigan State Univ., East Lansing. Cooperative Extension Service.

The Merchandising Food Service Training Manual contains 12 lessons and 2 appendixes. Class activities and handouts are interspersed among techniques for selling and merchandising meals, information about life value roles and how food participants may improve public images, material about customers' backgrounds and attitudes, methods of competitors…
Greeks Assisting Greeks (G.A.G). Training Manual.

ERIC Educational Resources Information Center

Ensminger, David

This training manual, intended for use by college students to learn peer counseling techniques, contains four sections. The first section provides an introduction to peer counseling. Effective therapeutic communication, solving a problem, basic counseling techniques, communicating styles, and the limitations of peer counseling are discussed. The…
Quartermaster 1 and C, Rate Training Manual.

ERIC Educational Resources Information Center

Naval Personnel Program Support Activity, Washington, DC.

The subject matter of this training manual is prepared for regular navy and naval reserve personnel. Operations of gyrocompasses and magnetic and magnesyn compasses are discussed with a background of error determination, compass adjustments, and degaussing applications. Navigation techniques are analyzed in terms of piloting, dead reckoning,…
Machinist's Mate 1 and C: Rate Training Manual.

ERIC Educational Resources Information Center

Naval Training Command, Pensacola, FL.

The rate training manual covers the duties required to efficiently operate and maintain ship propulsion machinery and associated equipment and to maintain applicable records and reports. Chapters cover: turbines; reduction gears; steam-driven generators; heat exchangers and air ejectors; pumps; piping and valves; distilling plants; refrigeration…

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…
Transfer Learning with Convolutional Neural Networks for SAR Ship Recognition

NASA Astrophysics Data System (ADS)

Zhang, Di; Liu, Jia; Heng, Wang; Ren, Kaijun; Song, Junqiang

2018-03-01

Ship recognition is the backbone of marine surveillance systems. Recent deep learning methods, e.g. Convolutional Neural Networks (CNNs), have shown high performance for optical images. Learning CNNs, however, requires a number of annotated samples to estimate numerous model parameters, which prevents its application to Synthetic Aperture Radar (SAR) images due to the limited annotated training samples. Transfer learning has been a promising technique for applications with limited data. To this end, a novel SAR ship recognition method based on CNNs with transfer learning has been developed. In this work, we firstly start with a CNNs model that has been trained in advance on Moving and Stationary Target Acquisition and Recognition (MSTAR) database. Next, based on the knowledge gained from this image recognition task, we fine-tune the CNNs on a new task to recognize three types of ships in the OpenSARShip database. The experimental results show that our proposed approach can obviously increase the recognition rate comparing with the result of merely applying CNNs. In addition, compared to existing methods, the proposed method proves to be very competitive and can learn discriminative features directly from training data instead of requiring pre-specification or pre-selection manually.
Development of automatic body condition scoring using a low-cost 3-dimensional Kinect camera.

PubMed

Spoliansky, Roii; Edan, Yael; Parmet, Yisrael; Halachmi, Ilan

2016-09-01

Body condition scoring (BCS) is a farm-management tool for estimating dairy cows' energy reserves. Today, BCS is performed manually by experts. This paper presents a 3-dimensional algorithm that provides a topographical understanding of the cow's body to estimate BCS. An automatic BCS system consisting of a Kinect camera (Microsoft Corp., Redmond, WA) triggered by a passive infrared motion detector was designed and implemented. Image processing and regression algorithms were developed and included the following steps: (1) image restoration, the removal of noise; (2) object recognition and separation, identification and separation of the cows; (3) movie and image selection, selection of movies and frames that include the relevant data; (4) image rotation, alignment of the cow parallel to the x-axis; and (5) image cropping and normalization, removal of irrelevant data, setting the image size to 150×200 pixels, and normalizing image values. All steps were performed automatically, including image selection and classification. Fourteen individual features per cow, derived from the cows' topography, were automatically extracted from the movies and from the farm's herd-management records. These features appear to be measurable in a commercial farm. Manual BCS was performed by a trained expert and compared with the output of the training set. A regression model was developed, correlating the features with the manual BCS references. Data were acquired for 4 d, resulting in a database of 422 movies of 101 cows. Movies containing cows' back ends were automatically selected (389 movies). The data were divided into a training set of 81 cows and a test set of 20 cows; both sets included the identical full range of BCS classes. Accuracy tests gave a mean absolute error of 0.26, median absolute error of 0.19, and coefficient of determination of 0.75, with 100% correct classification within 1 step and 91% correct classification within a half step for BCS classes. Results indicated good repeatability, with all standard deviations under 0.33. The algorithm is independent of the background and requires 10 cows for training with approximately 30 movies of 4 s each. Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
Novel system for distant assessment of cataract surgical quality in rural China.

PubMed

Wang, Lanhua; Xu, Danping; Liu, Bin; Jin, Ling; Wang, Decai; He, Mingguang; Congdon, Nathan G; Huang, Wenyong

2015-01-01

This study aims to assess the quality of various steps of manual small incision cataract surgery and predictors of quality, using video recordings. This paper applies a retrospective study. Fifty-two trainees participated in a hands-on small incision cataract surgery training programme at rural Chinese hospitals. Trainees provided one video each recorded by a tripod-mounted digital recorder after completing a one-week theoretical course and hands-on training monitored by expert trainers. Videos were graded by two different experts, using a 4-point scale developed by the International Council of Ophthalmology for each of 12 surgical steps and six global factors. Grades ranged from 2 (worst) to 5 (best), with a score of 0 if the step was performed by trainers. Mean score for the performance of each cataract surgical step rated by trainers. Videos and data were available for 49/52 trainees (94.2%, median age 38 years, 16.3% women and 77.5% completing > 50 training cases). The majority (53.1%, 26/49) had performed ≤ 50 cataract surgeries prior to training. Kappa was 0.57∼0.98 for the steps (mean 0.85). Poorest-rated steps were draping the surgical field (mean ± standard deviation = 3.27 ± 0.78), hydro-dissection (3.88 ± 1.22) and wound closure (3.92 ± 1.03), and top-rated steps were insertion of viscoelastic (4.96 ± 0.20) and anterior chamber entry (4.69 ± 0.74). In linear regression models, higher total score was associated with younger age (P = 0.015) and having performed >50 independent manual small incision cases (P = 0.039). More training should be given to preoperative draping, which is poorly performed and crucial in preventing infection. Surgical experience improves ratings. © 2015 Royal Australian and New Zealand College of Ophthalmologists.
Feasibility of the Enhancing Participation In the Community by improving Wheelchair Skills (EPIC Wheels) program: study protocol for a randomized controlled trial

PubMed Central

2013-01-01

Background Many older adults rely on a manual wheelchair for mobility but typically receive little, if any, training on how to use their wheelchair effectively and independently. Standardized skill training is an effective intervention, but limited access to clinician trainers is a substantive barrier. Enhancing Participation in the Community by Improving Wheelchair Skills (EPIC Wheels) is a 1-month monitored home training program for improving mobility skills in older novice manual wheelchair users, integrating principles from andragogy and social cognitive theory. The purpose of this study is to determine whether feasibility indicators and primary clinical outcome measures of the EPIC Wheels program are sufficiently robust to justify conducting a subsequent multi-site randomized controlled trial. Methods A 2 × 2 factorial randomized controlled trial at two sites will compare improvement in wheelchair mobility skills between an EPIC Wheels treatment group and a computer-game control group, with additional wheelchair use introduced as a second factor. A total of 40 community-dwelling manual wheelchair users at least 55 years old and living in two Canadian metropolitan cities (n = 20 × 2) will be recruited. Feasibility indicators related to study process, resources, management, and treatment issues will be collected during data collection and at the end of the study period, and evaluated against proposed criteria. Clinical outcome measures will be collected at baseline (pre-randomization) and post-intervention. The primary clinical outcome measure is wheelchair skill capacity, as determined by the Wheelchair Skills Test, version 4.1. Secondary clinical outcome measures include wheelchair skill safety, satisfaction with performance, wheelchair confidence, life-space mobility, divided-attention, and health-related quality of life. Discussion The EPIC Wheels training program offers several innovative features. The convenient, portable, economical, and adaptable tablet-based, home program model for wheelchair skills training has great potential for clinical uptake and opportunity for future enhancements. Theory-driven design can foster learning and adherence for older adults. Establishing the feasibility of the study protocol and estimating effect size for the primary clinical outcome measure will be used to develop a multi-site randomized controlled trial to test the guiding hypotheses. Trial registration Clinical Trials NCT01740635. PMID:24156396
The Adolescent Mentalization-based Integrative Treatment (AMBIT) approach to outcome evaluation and manualization: adopting a learning organization approach.

PubMed

Fuggle, Peter; Bevington, Dickon; Cracknell, Liz; Hanley, James; Hare, Suzanne; Lincoln, John; Richardson, Garry; Stevens, Nina; Tovey, Heather; Zlotowitz, Sally

2015-07-01

AMBIT (Adolescent Mentalization-Based Integrative Treatment) is a developing team approach to working with hard-to-reach adolescents. The approach applies the principle of mentalization to relationships with clients, team relationships and working across agencies. It places a high priority on the need for locally developed evidence-based practice, and proposes that outcome evaluation needs to be explicitly linked with processes of team learning using a learning organization framework. A number of innovative methods of team learning are incorporated into the AMBIT approach, particularly a system of web-based wiki-formatted AMBIT manuals individualized for each participating team. The paper describes early development work of the model and illustrates ways of establishing explicit links between outcome evaluation, team learning and manualization by describing these methods as applied to two AMBIT-trained teams; one team working with young people on the edge of care (AMASS - the Adolescent Multi-Agency Support Service) and another working with substance use (CASUS - Child and Adolescent Substance Use Service in Cambridgeshire). Measurement of the primary outcomes for each team (which were generally very positive) facilitated team learning and adaptations of methods of practice that were consolidated through manualization. © The Author(s) 2014.
Out of the shadows and 6000 reasons to celebrate: An update from FIGO's fistula surgery training initiative.

PubMed

Slinger, Gillian; Trautvetter, Lilli; Browning, Andrew; Rane, Ajay

2018-06-01

Obstetric fistula is a devastating childbirth injury caused by unrelieved obstructed labor. Obstetric fistula leads to chronic incontinence and, in most cases, significant physical and emotional suffering. The condition continues to blight the lives of 1-2 million women in low-resource settings, with 50 000-100 000 new cases each year adding to the backlog. A trained, skilled fistula surgeon is essential to repair an obstetric fistula; however, owing to a global shortage of these surgeons, few women are able to receive life-restoring treatment. In 2011, to address the treatment gap, FIGO and partners released the Global Competency-Based Fistula Surgery Training Manual, the first standardized curriculum to train fistula surgeons. To increase the number of fistula surgeons, the FIGO Fistula Surgery Training Initiative was launched in 2012, and FIGO Fellows started to enter the program to train as fistula surgeons. Following a funding boost in 2014, the initiative has grown considerably. With 52 fellows involved and a new Expert Advisory Group in place, the program is achieving major milestones, with a record-breaking number of fistula repairs performed by FIGO Fellows in 2017, bringing the total number of repairs since the start of the project to more than 6000. © 2018 International Federation of Gynecology and Obstetrics.
Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy

NASA Astrophysics Data System (ADS)

Acosta, Oscar; Dowling, Jason; Cazoulat, Guillaume; Simon, Antoine; Salvado, Olivier; de Crevoisier, Renaud; Haigron, Pascal

The prediction of toxicity is crucial to managing prostate cancer radiotherapy (RT). This prediction is classically organ wise and based on the dose volume histograms (DVH) computed during the planning step, and using for example the mathematical Lyman Normal Tissue Complication Probability (NTCP) model. However, these models lack spatial accuracy, do not take into account deformations and may be inappropiate to explain toxicity events related with the distribution of the delivered dose. Producing voxel wise statistical models of toxicity might help to explain the risks linked to the dose spatial distribution but is challenging due to the difficulties lying on the mapping of organs and dose in a common template. In this paper we investigate the use of atlas based methods to perform the non-rigid mapping and segmentation of the individuals' organs at risk (OAR) from CT scans. To build a labeled atlas, 19 CT scans were selected from a population of patients treated for prostate cancer by radiotherapy. The prostate and the OAR (Rectum, Bladder, Bones) were then manually delineated by an expert and constituted the training data. After a number of affine and non rigid registration iterations, an average image (template) representing the whole population was obtained. The amount of consensus between labels was used to generate probabilistic maps for each organ. We validated the accuracy of the approach by segmenting the organs using the training data in a leave one out scheme. The agreement between the volumes after deformable registration and the manually segmented organs was on average above 60% for the organs at risk. The proposed methodology provides a way to map the organs from a whole population on a single template and sets the stage to perform further voxel wise analysis. With this method new and accurate predictive models of toxicity will be built.
Onboard Classifiers for Science Event Detection on a Remote Sensing Spacecraft

NASA Technical Reports Server (NTRS)

Castano, Rebecca; Mazzoni, Dominic; Tang, Nghia; Greeley, Ron; Doggett, Thomas; Cichy, Ben; Chien, Steve; Davies, Ashley

2006-01-01

Typically, data collected by a spacecraft is downlinked to Earth and pre-processed before any analysis is performed. We have developed classifiers that can be used onboard a spacecraft to identify high priority data for downlink to Earth, providing a method for maximizing the use of a potentially bandwidth limited downlink channel. Onboard analysis can also enable rapid reaction to dynamic events, such as flooding, volcanic eruptions or sea ice break-up. Four classifiers were developed to identify cryosphere events using hyperspectral images. These classifiers include a manually constructed classifier, a Support Vector Machine (SVM), a Decision Tree and a classifier derived by searching over combinations of thresholded band ratios. Each of the classifiers was designed to run in the computationally constrained operating environment of the spacecraft. A set of scenes was hand-labeled to provide training and testing data. Performance results on the test data indicate that the SVM and manual classifiers outperformed the Decision Tree and band-ratio classifiers with the SVM yielding slightly better classifications than the manual classifier.
Morphological hippocampal markers for automated detection of Alzheimer's disease and mild cognitive impairment converters in magnetic resonance images.

PubMed

Ferrarini, Luca; Frisoni, Giovanni B; Pievani, Michela; Reiber, Johan H C; Ganzola, Rossana; Milles, Julien

2009-01-01

In this study, we investigated the use of hippocampal shape-based markers for automatic detection of Alzheimer's disease (AD) and mild cognitive impairment converters (MCI-c). Three-dimensional T1-weighted magnetic resonance images of 50 AD subjects, 50 age-matched controls, 15 MCI-c, and 15 MCI-non-converters (MCI-nc) were taken. Manual delineations of both hippocampi were obtained from normalized images. Fully automatic shape modeling was used to generate comparable meshes for both structures. Repeated permutation tests, run over a randomly sub-sampled training set (25 controls and 25 ADs), highlighted shape-based markers, mostly located in the CA1 sector, which consistently discriminated ADs and controls. Support vector machines (SVMs) were trained, using markers from either one or both hippocampi, to automatically classify control and AD subjects. Leave-1-out cross-validations over the remaining 25 ADs and 25 controls resulted in an optimal accuracy of 90% (sensitivity 92%), for markers in the left hippocampus. The same morphological markers were used to train SVMs for MCI-c versus MCI-nc classification: markers in the right hippocampus reached an accuracy (and sensitivity) of 80%. Due to the pattern recognition framework, our results statistically represent the expected performances of clinical set-ups, and compare favorably to analyses based on hippocampal volumes.
A pilot study of a family cognitive adaptation training guide for individuals with schizophrenia.

PubMed

Kidd, Sean A; Kerman, Nick; Ernest, Debbie; Maples, Natalie; Arthur, Cicely; de Souza, Sara; Kath, Jennifer; Herman, Yarissa; Virdee, Gursharan; Collins, April; Velligan, Dawn

2018-06-01

There is a paucity of accessible, evidence-based tools for caregivers of individuals with schizophrenia. This study examines changes in the self-assessed and caregiver-assessed outcomes of people with schizophrenia after exposure to a cognitive adaptation training (CAT) guide that addressed pragmatic, in-home approaches to offset the cognitive impacts of the illness. This study examined the 4-month, pre-post outcomes of a CAT guide, as compared with a popular, general manual, for families of individuals with schizophrenia. A total of 17 caregiver-supported individual dyads completed all measures, having been randomized to either a CAT-guide group or a support-manual group. Measures included medication adherence, adaptive functioning, quality of life, and caregiver burden. Semistructured interviews assessed use and utility questions. Caregiver-assessed improvements in community functioning with medium-high effect sizes were observed in both study conditions. Self-report ratings by supported individuals did not change from baseline to 4 months and no change was observed in medication adherence or quality of life for either condition. Caregiver-burden ratings significantly declined with a large effect size, again with no difference as a function of manual type. These findings suggest that there is some promise in providing families with evidence-based information in manual form. Further research informed by this study's findings should include assessments of whether and how environmental cognitive supports can be of specific benefit to families affected by schizophrenia. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Weakly supervised automatic segmentation and 3D modeling of the knee joint from MR images

NASA Astrophysics Data System (ADS)

Amami, Amal; Ben Azouz, Zouhour

2013-12-01

Automatic segmentation and 3D modeling of the knee joint from MR images, is a challenging task. Most of the existing techniques require the tedious manual segmentation of a training set of MRIs. We present an approach that necessitates the manual segmentation of one MR image. It is based on a volumetric active appearance model. First, a dense tetrahedral mesh is automatically created on a reference MR image that is arbitrary selected. Second, a pairwise non-rigid registration between each MRI from a training set and the reference MRI is computed. The non-rigid registration is based on a piece-wise affine deformation using the created tetrahedral mesh. The minimum description length is then used to bring all the MR images into a correspondence. An average image and tetrahedral mesh, as well as a set of main modes of variations, are generated using the established correspondence. Any manual segmentation of the average MRI can be mapped to other MR images using the AAM. The proposed approach has the advantage of simultaneously generating 3D reconstructions of the surface as well as a 3D solid model of the knee joint. The generated surfaces and tetrahedral meshes present the interesting property of fulfilling a correspondence between different MR images. This paper shows preliminary results of the proposed approach. It demonstrates the automatic segmentation and 3D reconstruction of a knee joint obtained by mapping a manual segmentation of a reference image.
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…
Pesticide Applicator Training Manual, Category 8B: Mosquito Control for New Jersey. A Training Program for the Certification of Commercial Pesticide Applicators, and Study Questions.

ERIC Educational Resources Information Center

Schulze, Terry L., Ed.; Kriner, Ray R., Ed.

This training manual provides information needed to meet the mimimum EPA standards for certification as a commercial applicator of pesticides in the mosquito control category. The text discusses the aspects of mosquito biology and control by biological, mechanical, and integrated measures. A study guide with sample and study questions is included.…
Effective Proposal Development. A How-To Manual for Skills Training Programs.

ERIC Educational Resources Information Center

Bohnen, Elizabeth D.

This manual outlines effective program planning and proposal development techniques for preemployment and employment-related training programs. It is intended for use by staff of community organizations, business and industry, labor unions, social service agencies, and educational institutions. Section I is an introduction. Section II describes…
Training and Development for Transitional Employment in Mature-Aged Manual Workers

ERIC Educational Resources Information Center

Pillay, Hitendra; Kelly, Kathy; Tones, Megan

2010-01-01

Objectives: The purpose of the current article was to explore perceptions of transitional employment and training and development amongst blue collar workers employed in technical, trade, operations or physical and labour-intensive occupations within the local government system. Methods: The responses of manual workers to two national surveys…
TNT: Teams Need Training.

ERIC Educational Resources Information Center

Centre County Vocational-Technical School, Pleasant Gap, PA. CIU 10 Bi-County Development Center for Adults.

This document includes a final report and curriculum manual from a project to help adult educators teach team training by developing a curriculum for use in teaching teamwork skills in work force literacy programs and by providing two half-day seminars to assist adult educators with effectively using the curriculum. The manual for work force…
Training Manual on Food Irradiation Technology and Techniques.

ERIC Educational Resources Information Center

United Nations Food and Agriculture Organization, Rome (Italy).

This training manual consists of two parts. The first covers general information and outlines various applications of food irradiation technology. The second section details laboratory exercises used to demonstrate the principles of radiation processing and the effects of radiation treatment on certain types of food. The chapters outline…
Manual Training Schools in America.

ERIC Educational Resources Information Center

Schenck, John P.

John Runkle, president of the Massachusetts Institute of Technology (MIT), viewed the Moscow Imperial Technical School exhibit at the Philadelphia Centennial Exposition of 1876 and saw the Russian method of manual training as the answer to the dilemma of combining theory and practice in engineering instruction. On August 17, 1876, shops in which…
Methods for the Determination of Chemical 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.

This training manual, intended for chemists and technicians with little or no experience in chemical procedures required to monitor drinking water, covers analytical methods for inorganic and organic chemical contaminants listed in the interim primary drinking water regulations. Topics include methods for heavy metals, nitrate, and organic…

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