Tensor-Train Split-Operator Fourier Transform (TT-SOFT) Method: Multidimensional Nonadiabatic Quantum Dynamics.

PubMed

Greene, Samuel M; Batista, Victor S

2017-09-12

We introduce the "tensor-train split-operator Fourier transform" (TT-SOFT) method for simulations of multidimensional nonadiabatic quantum dynamics. TT-SOFT is essentially the grid-based SOFT method implemented in dynamically adaptive tensor-train representations. In the same spirit of all matrix product states, the tensor-train format enables the representation, propagation, and computation of observables of multidimensional wave functions in terms of the grid-based wavepacket tensor components, bypassing the need of actually computing the wave function in its full-rank tensor product grid space. We demonstrate the accuracy and efficiency of the TT-SOFT method as applied to propagation of 24-dimensional wave packets, describing the S 1 /S 2 interconversion dynamics of pyrazine after UV photoexcitation to the S 2 state. Our results show that the TT-SOFT method is a powerful computational approach for simulations of quantum dynamics of polyatomic systems since it avoids the exponential scaling problem of full-rank grid-based representations.

Setting research priorities for HIV/AIDS-related research in a post-graduate training programme: lessons learnt from the Nigeria Field Epidemiology and Laboratory Training Programme scientific workshop.

PubMed

Poggensee, Gabriele; Waziri, Ndadilnasiya Endie; Bashorun, Adebobola; Nguku, Patrick Mboya; Fawole, Olufunmilayo Ibitola; Sabitu, Kabir

2014-01-01

In Nigeria the current prevalence of HIV is 4.1% with over 3.5 million infected and estimated 1.5 million in need of anti-retroviral treatment. Epidemiological and implementation studies are necessary for monitoring and evaluation of interventions. To define research areas which can be addressed by participants of the Nigeria Field Epidemiology and Training Programme (NFELTP) a workshop was held in April 2013 in Abuja, Nigeria. Priority research areas were identified using criteria lists for ranking of the relevance of research questions. Based on a research matrix, NFELTP residents developed the aims and objectives, study design for HIV-related research proposals. This workshop was the first workshop held by the NFELTP to establish an inventory of research questions which can be addressed by the residents within their training period. This inventory will help to increase HIV/AIDS-related activities of NFELTP which are in accordance with research needs in Nigeria and PEPFAR objectives.

A Pragmatic Approach to Guide Implementation Evaluation Research: Strategy Mapping for Complex Interventions.

PubMed

Huynh, Alexis K; Hamilton, Alison B; Farmer, Melissa M; Bean-Mayberry, Bevanne; Stirman, Shannon Wiltsey; Moin, Tannaz; Finley, Erin P

2018-01-01

Greater specification of implementation strategies is a challenge for implementation science, but there is little guidance for delineating the use of multiple strategies involved in complex interventions. The Cardiovascular (CV) Toolkit project entails implementation of a toolkit designed to reduce CV risk by increasing women's engagement in appropriate services. The CV Toolkit project follows an enhanced version of Replicating Effective Programs (REP), an evidence-based implementation strategy, to implement the CV Toolkit across four phases: pre-conditions, pre-implementation, implementation, and maintenance and evolution. Our current objective is to describe a method for mapping implementation strategies used in real time as part of the CV Toolkit project. This method supports description of the timing and content of bundled strategies and provides a structured process for developing a plan for implementation evaluation. We conducted a process of strategy mapping to apply Proctor and colleagues' rubric for specification of implementation strategies, constructing a matrix in which we identified each implementation strategy, its conceptual group, and the corresponding REP phase(s) in which it occurs. For each strategy, we also specified the actors involved, actions undertaken, action targets, dose of the implementation strategy, and anticipated outcome addressed. We iteratively refined the matrix with the implementation team, including use of simulation to provide initial validation. Mapping revealed patterns in the timing of implementation strategies within REP phases. Most implementation strategies involving the development of stakeholder interrelationships and training and educating stakeholders were introduced during the pre-conditions or pre-implementation phases. Strategies introduced in the maintenance and evolution phase emphasized communication, re-examination, and audit and feedback. In addition to its value for producing valid and reliable process evaluation data, mapping implementation strategies has informed development of a pragmatic blueprint for implementation and longitudinal analyses and evaluation activities. We update recent recommendations on specification of implementation strategies by considering the implications for multi-strategy frameworks and propose an approach for mapping the use of implementation strategies within complex, multi-level interventions, in support of rigorous evaluation. Developing pragmatic tools to aid in operationalizing the conduct of implementation and evaluation activities is essential to enacting sound implementation research.

Matrix product operators, matrix product states, and ab initio density matrix renormalization group algorithms

NASA Astrophysics Data System (ADS)

Chan, Garnet Kin-Lic; Keselman, Anna; Nakatani, Naoki; Li, Zhendong; White, Steven R.

2016-07-01

Current descriptions of the ab initio density matrix renormalization group (DMRG) algorithm use two superficially different languages: an older language of the renormalization group and renormalized operators, and a more recent language of matrix product states and matrix product operators. The same algorithm can appear dramatically different when written in the two different vocabularies. In this work, we carefully describe the translation between the two languages in several contexts. First, we describe how to efficiently implement the ab initio DMRG sweep using a matrix product operator based code, and the equivalence to the original renormalized operator implementation. Next we describe how to implement the general matrix product operator/matrix product state algebra within a pure renormalized operator-based DMRG code. Finally, we discuss two improvements of the ab initio DMRG sweep algorithm motivated by matrix product operator language: Hamiltonian compression, and a sum over operators representation that allows for perfect computational parallelism. The connections and correspondences described here serve to link the future developments with the past and are important in the efficient implementation of continuing advances in ab initio DMRG and related algorithms.

Matrix product operators, matrix product states, and ab initio density matrix renormalization group algorithms.

PubMed

Chan, Garnet Kin-Lic; Keselman, Anna; Nakatani, Naoki; Li, Zhendong; White, Steven R

2016-07-07

Current descriptions of the ab initio density matrix renormalization group (DMRG) algorithm use two superficially different languages: an older language of the renormalization group and renormalized operators, and a more recent language of matrix product states and matrix product operators. The same algorithm can appear dramatically different when written in the two different vocabularies. In this work, we carefully describe the translation between the two languages in several contexts. First, we describe how to efficiently implement the ab initio DMRG sweep using a matrix product operator based code, and the equivalence to the original renormalized operator implementation. Next we describe how to implement the general matrix product operator/matrix product state algebra within a pure renormalized operator-based DMRG code. Finally, we discuss two improvements of the ab initio DMRG sweep algorithm motivated by matrix product operator language: Hamiltonian compression, and a sum over operators representation that allows for perfect computational parallelism. The connections and correspondences described here serve to link the future developments with the past and are important in the efficient implementation of continuing advances in ab initio DMRG and related algorithms.

The Use of Matrix Training to Promote Generative Language with Children with Autism

ERIC Educational Resources Information Center

Frampton, Sarah E.; Wymer, Sarah C.; Hansen, Bethany; Shillingsburg, M. Alice

2016-01-01

Matrix training consists of planning instruction by arranging components of desired skills across 2 axes. After training with diagonal targets that each combine 2 unique skill components, responses to nondiagonal targets, consisting of novel combinations of the components, may emerge. A multiple-probe design across participants was used to…

Discrepancy Analysis and Continuity Matrix: Tools for Measuring the Impact of Inservice Training.

ERIC Educational Resources Information Center

Kite, R. Hayman

Within an inservice training program there is a functional interdependent relationship among problems, causes, and solutions. During a sequence of eight steps to ascertain program impact, a "continuity matrix", a management technique that assists in dealing with the problem/solution paradox is created. A successful training program must: (1) aim…

Task shifting Midwifery Support Workers as the second health worker at a home birth in the UK: A qualitative study.

PubMed

Taylor, Beck; Henshall, Catherine; Goodwin, Laura; Kenyon, Sara

2018-07-01

Traditionally two midwives attend home births in the UK. This paper explores the implementation of a new home birth care model where births to low risk women are attended by one midwife and one Midwifery Support Worker (MSW). The study setting was a dedicated home birth service provided by a large UK urban hospital. Seventy-three individuals over 3 years: 13 home birth midwives, 7 MSWs, 7 commissioners (plan and purchase healthcare), 9 managers, 23 community midwives, 14 hospital midwives. Qualitative data were gathered from 56 semi-structured interviews (36 participants), 5 semi-structured focus groups (37 participants) and 38 service documents over a 3 year study period. A rapid analysis approach was taken: data were reduced using structured summary templates, which were entered into a matrix, allowing comparison between participants. Findings were written up directly from the matrix (Hamilton, 2013). The midwife-MSW model for home births was reported to have been implemented successfully in practice, with MSWs working well, and emergencies well-managed. There were challenges in implementation, including: defining the role of MSWs; content and timing of training; providing MSWs with pre-deployment exposure to home birth; sustainability (recruiting and retaining MSWs, and a continuing need to provide two midwife cover for high risk births). The Service had responded to challenges and modified the approach to recruitment, training and deployment. The midwife-MSW model for home birth shows potential for task shifting to release midwife capacity and provide reliable home birth care to low risk women. Some of the challenges tally with observations made in the literature regarding role redesign. Others wishing to introduce a similar model would be advised to explicitly define and communicate the role of MSWs, and to ensure staff and women support it, consider carefully recruitment, content and delivery of training and retention of MSWs and confirm the model is cost-effective. They would also need to continue to provide care by two midwives at high risk births. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Some Methods for Evaluating Program Implementation.

ERIC Educational Resources Information Center

Hardy, Roy A.

An approach to evaluating program implementation is described. This approach includes the development of a project description which includes a structure matrix, sampling from the structure matrix, and preparing an implementation evaluation plan. The implementation evaluation plan should include: (1) verification of implementation of planned…

E-learning for textile enterprises innovation improvement

NASA Astrophysics Data System (ADS)

Blaga, M.; Harpa, R.; Radulescu, I. R.; Stepjanovic, Z.

2017-10-01

The Erasmus Plus project- TEXMatrix: “Matrix of knowledge for innovation and competitiveness in textile enterprises”, financed through the Erasmus+ Programme, Strategic partnerships- KA2 for Vocational Education and Training, aims at spreading the creative and innovative organizational culture inside textile enterprises by transferring and implementing methodologies, tools and concepts for improved training. Five European partners form the project consortium: INCDTP - Bucharest, Romania (coordinator), TecMinho - Portugal, Centrocot - Italy, University Maribor, Slovenia, and “Gheorghe Asachi” Technical University of Iasi, Romania. These will help the textile enterprises involved in the project, to learn how to apply creative thinking in their organizations and how to develop the capacity for innovation and change. The project aims to bridge the gap between textile enterprises need for qualified personnel and the young workforce. It develops an innovative knowledge matrix for the tangible and intangible assets of an enterprise and a benchmarking study, based on which a dedicated software tool will be created. This software tool will aid the decision-making enterprise staff (managers, HR specialists, professionals) as well as the trainees (young employees, students, and scholars) to cope with the new challenges of innovation and competitiveness for the textile field. The purpose of this paper is to present the main objectives and achievements of the project, according to its declared goals, with the focus on the presentation of the knowledge matrix of innovation, which is a powerful instrument for the quantification of the intangible assets of textile enterprises.

Setting Research Priorities for HIV/AIDS-related research in a post-graduate training programme: lessons learnt from the Nigeria Field Epidemiology and Laboratory Training Programme scientific workshop

PubMed Central

Poggensee, Gabriele; Waziri, Ndadilnasiya Endie; Bashorun, Adebobola; Nguku, Patrick Mboya; Fawole, Olufunmilayo Ibitola; Sabitu, Kabir

2014-01-01

In Nigeria the current prevalence of HIV is 4.1% with over 3.5 million infected and estimated 1.5 million in need of anti-retroviral treatment. Epidemiological and implementation studies are necessary for monitoring and evaluation of interventions. To define research areas which can be addressed by participants of the Nigeria Field Epidemiology and Training Programme (NFELTP) a workshop was held in April 2013 in Abuja, Nigeria. Priority research areas were identified using criteria lists for ranking of the relevance of research questions. Based on a research matrix, NFELTP residents developed the aims and objectives, study design for HIV-related research proposals. This workshop was the first workshop held by the NFELTP to establish an inventory of research questions which can be addressed by the residents within their training period. This inventory will help to increase HIV/AIDS-related activities of NFELTP which are in accordance with research needs in Nigeria and PEPFAR objectives. PMID:25426209

Accelerated Training for Large Feedforward Neural Networks

NASA Technical Reports Server (NTRS)

Stepniewski, Slawomir W.; Jorgensen, Charles C.

1998-01-01

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

The Development of Multicultural Counselling Competencies (MCC) Training Module Based on MCC Matrix Model by Sue et al. (1992)

ERIC Educational Resources Information Center

Anuar, Azad Athahiri; Rozubi, Norsayyidatina Che; Abdullah, Haslee Sharil

2015-01-01

The aims of this study were to develop and validate a MCC training module for trainee counselor based on MCC matrix model by Sue et al. (1992). This module encompassed five sub modules and 11 activities developed along the concepts and components of the MCC matrix model developed by Sue, Arredondo dan McDavis (1992). The design method used in this…

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

NASA Technical Reports Server (NTRS)

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

1983-01-01

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

The SBIRT program matrix: a conceptual framework for program implementation and evaluation.

PubMed

Del Boca, Frances K; McRee, Bonnie; Vendetti, Janice; Damon, Donna

2017-02-01

Screening, Brief Intervention and Referral to Treatment (SBIRT) is a comprehensive, integrated, public health approach to the delivery of services to those at risk for the adverse consequences of alcohol and other drug use, and for those with probable substance use disorders. Research on successful SBIRT implementation has lagged behind studies of efficacy and effectiveness. This paper (1) outlines a conceptual framework, the SBIRT Program Matrix, to guide implementation research and program evaluation and (2) specifies potential implementation outcomes. Overview and narrative description of the SBIRT Program Matrix. The SBIRT Program Matrix has five components, each of which includes multiple elements: SBIRT services; performance sites; provider attributes; patient/client populations; and management structure and activities. Implementation outcomes include program adoption, acceptability, appropriateness, feasibility, fidelity, costs, penetration, sustainability, service provision and grant compliance. The Screening, Brief Intervention and Referral to Treatment Program Matrix provides a template for identifying, classifying and organizing the naturally occurring commonalities and variations within and across SBIRT programs, and for investigating which variables are associated with implementation success and, ultimately, with treatment outcomes and other impacts. © 2017 Society for the Study of Addiction.

Levels of biomarkers correlate with magnetic resonance imaging progression of knee cartilage degeneration: a study on canine.

PubMed

Qi, Chang; Changlin, Huang

2007-07-01

To examine the association between levers of cartilage oligomeric matrix protein (COMP), matrix metalloproteinases-1 (MMP-1), matrix metalloproteinases-3 (MMP-3), tissue inhibitor of matrix metalloproteinases-1 (TIMP-1) in serum and synovial fluid, and MR imaging of cartilage degeneration in knee joint, and to understand the effects of movement training with different intensity on cartilage of knee joint. 20 adult canines were randomly divided into three groups (8 in the light training group; 8 in the intensive training group; 4 in the control group), and canines of the two training groups were trained daily at different intensity. The training lasted for 10 weeks in all. Magnetic resonance imaging (MRI) examinations were performed regularly (2, 4, 6, 8, 10 week) to investigate the changes of articular cartilage in the canine knee, while concentrations of COMP, MMP-1, MMP-3, TIMP-1 in serum and synovial fluid were measured by ELISA assays. We could find imaging changes of cartilage degeneration in both the training groups by MRI examination during training period, compared with the control group. However, there was no significant difference between these two training groups. Elevations of levels of COMP, MMP-1, MMP-3, TIMP-1, MMP-3/TIMP-1 were seen in serum and synovial fluid after training, and their levels had obvious association with knee MRI grades of cartilage lesion. Furthermore, there were statistically significant associations between biomarkers levels in serum and in synovial fluid. Long-time and high-intensity movement training induces cartilage degeneration in knee joint. Within the intensity extent applied in this study, knee cartilage degeneration caused by light training or intensive training has no difference in MR imaging, but has a comparatively obvious difference in biomarkers level. To detect articular cartilage degeneration in early stage and monitor pathological process, the associated application of several biomarkers has a very good practical value, and can be used as a helpful supplement to MRI.

Ab initio multiple cloning simulations of pyrrole photodissociation: TKER spectra and velocity map imaging

DOE PAGES

Makhov, Dmitry V.; Saita, Kenichiro; Martinez, Todd J.; ...

2014-12-11

In this study, we report a detailed computational simulation of the photodissociation of pyrrole using the ab initio Multiple Cloning (AIMC) method implemented within MOLPRO. The efficiency of the AIMC implementation, employing train basis sets, linear approximation for matrix elements, and Ehrenfest configuration cloning, allows us to accumulate significant statistics. We calculate and analyze the total kinetic energy release (TKER) spectrum and Velocity Map Imaging (VMI) of pyrrole and compare the results directly with experimental measurements. Both the TKER spectrum and the structure of the velocity map image (VMI) are well reproduced. Previously, it has been assumed that the isotropicmore » component of the VMI arises from long time statistical dissociation. Instead, our simulations suggest that ultrafast dynamics contributes significantly to both low and high energy portions of the TKER spectrum.« less

Ab initio multiple cloning simulations of pyrrole photodissociation: TKER spectra and velocity map imaging

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

Makhov, Dmitry V.; Saita, Kenichiro; Martinez, Todd J.

In this study, we report a detailed computational simulation of the photodissociation of pyrrole using the ab initio Multiple Cloning (AIMC) method implemented within MOLPRO. The efficiency of the AIMC implementation, employing train basis sets, linear approximation for matrix elements, and Ehrenfest configuration cloning, allows us to accumulate significant statistics. We calculate and analyze the total kinetic energy release (TKER) spectrum and Velocity Map Imaging (VMI) of pyrrole and compare the results directly with experimental measurements. Both the TKER spectrum and the structure of the velocity map image (VMI) are well reproduced. Previously, it has been assumed that the isotropicmore » component of the VMI arises from long time statistical dissociation. Instead, our simulations suggest that ultrafast dynamics contributes significantly to both low and high energy portions of the TKER spectrum.« less

Implementation of a Matrix Organizational Structure: A Case Study.

ERIC Educational Resources Information Center

Whorton, David M.

The implementation of a matrix structure as an alternative to the traditional collegial/bureaucratic form at a college of education in a medium-size state university is described. Matrix organizational structures are differentiated from hierarchical bureaucratic structures by dividing the organization's tasks into functional units across which an…

The training of a 'stone doctor'.

PubMed

Talati, Jamsheer J

2012-09-01

To propose alternative models of training for doctors treating patients with stones, and to identify their relative value, as such doctors are trained through urology programmes which sometimes cannot be expanded to meet the need, are short of teachers, too comprehensive and lengthy. This review explores new pathways for training to provide competence in the care of patients with stones. Previous reports were identified and existing training models collectively categorised as Model 1. Three alternative models were constructed and compared in the context of advantages, acceptability, feasibility, educational impact and applicability in different geosocio-political contexts. In Model 2, urological and stone training diverge as options after common basic courses and experience. In Model 3, individuals access training through a common educational matrix (EM) for nurses, physicians, etc., according to the match between their capacities, entry requirements, personal desires and willingness for further responsibility. Stone doctors with no urological background cannot fulfil other service and educational commitments, and might create unwelcome dependence on other colleagues for complex situations. Programmes involving a common EM affect professional boundaries and are not easily acceptable. There is a lack of clarity on methods for medical certification and re-certification. However, the lack of technically competent stone experts in developing worlds requires an exploration of alternative models of training and practice. The ability to provide exemplary care after abbreviated training makes alternative models attractive. Worldwide debate, further exploration and pilot implementation are required, perhaps first in the developing world, in which much of the 'stone belt' exists.

Development, implementation, and test results on integrated optics switching matrix

NASA Technical Reports Server (NTRS)

Rutz, E.

1982-01-01

A small integrated optics switching matrix, which was developed, implemented, and tested, indicates high performance. The matrix serves as a model for the design of larger switching matrices. The larger integrated optics switching matrix should form the integral part of a switching center with high data rate throughput of up to 300 megabits per second. The switching matrix technique can accomplish the design goals of low crosstalk and low distortion. About 50 illustrations help explain and depict the many phases of the integrated optics switching matrix. Many equations used to explain and calculate the experimental data are also included.

Simulation for Wind Turbine Generators -- With FAST and MATLAB-Simulink Modules

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

Singh, M.; Muljadi, E.; Jonkman, J.

This report presents the work done to develop generator and gearbox models in the Matrix Laboratory (MATLAB) environment and couple them to the National Renewable Energy Laboratory's Fatigue, Aerodynamics, Structures, and Turbulence (FAST) program. The goal of this project was to interface the superior aerodynamic and mechanical models of FAST to the excellent electrical generator models found in various Simulink libraries and applications. The scope was limited to Type 1, Type 2, and Type 3 generators and fairly basic gear-train models. Future work will include models of Type 4 generators and more-advanced gear-train models with increased degrees of freedom. Asmore » described in this study, implementation of the developed drivetrain model enables the software tool to be used in many ways. Several case studies are presented as examples of the many types of studies that can be performed using this tool.« less

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

PubMed

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

2015-01-01

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

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

PubMed Central

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

2015-01-01

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

An embedded system for face classification in infrared video using sparse representation

NASA Astrophysics Data System (ADS)

Saavedra M., Antonio; Pezoa, Jorge E.; Zarkesh-Ha, Payman; Figueroa, Miguel

2017-09-01

We propose a platform for robust face recognition in Infrared (IR) images using Compressive Sensing (CS). In line with CS theory, the classification problem is solved using a sparse representation framework, where test images are modeled by means of a linear combination of the training set. Because the training set constitutes an over-complete dictionary, we identify new images by finding their sparsest representation based on the training set, using standard l1-minimization algorithms. Unlike conventional face-recognition algorithms, we feature extraction is performed using random projections with a precomputed binary matrix, as proposed in the CS literature. This random sampling reduces the effects of noise and occlusions such as facial hair, eyeglasses, and disguises, which are notoriously challenging in IR images. Thus, the performance of our framework is robust to these noise and occlusion factors, achieving an average accuracy of approximately 90% when the UCHThermalFace database is used for training and testing purposes. We implemented our framework on a high-performance embedded digital system, where the computation of the sparse representation of IR images was performed by a dedicated hardware using a deeply pipelined architecture on an Field-Programmable Gate Array (FPGA).

An efficient matrix product operator representation of the quantum chemical Hamiltonian

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

Keller, Sebastian, E-mail: sebastian.keller@phys.chem.ethz.ch; Reiher, Markus, E-mail: markus.reiher@phys.chem.ethz.ch; Dolfi, Michele, E-mail: dolfim@phys.ethz.ch

We describe how to efficiently construct the quantum chemical Hamiltonian operator in matrix product form. We present its implementation as a density matrix renormalization group (DMRG) algorithm for quantum chemical applications. Existing implementations of DMRG for quantum chemistry are based on the traditional formulation of the method, which was developed from the point of view of Hilbert space decimation and attained higher performance compared to straightforward implementations of matrix product based DMRG. The latter variationally optimizes a class of ansatz states known as matrix product states, where operators are correspondingly represented as matrix product operators (MPOs). The MPO construction schememore » presented here eliminates the previous performance disadvantages while retaining the additional flexibility provided by a matrix product approach, for example, the specification of expectation values becomes an input parameter. In this way, MPOs for different symmetries — abelian and non-abelian — and different relativistic and non-relativistic models may be solved by an otherwise unmodified program.« less

Sentence Production after Listener and Echoic Training by Prelingual Deaf Children with Cochlear Implants

ERIC Educational Resources Information Center

Golfeto, Raquel M.; de Souza, Deisy G.

2015-01-01

Three children with neurosensory deafness who used cochlear implants were taught to match video clips to dictated sentences. We used matrix training with overlapping components and tested for recombinative generalization. Two 3?×?3 matrices generated 18 sentences. For each matrix, we taught 6 sentences and evaluated generalization with the…

Initial Implementation Indicators From a Statewide Rollout of SafeCare Within a Child Welfare System

PubMed Central

Whitaker, Daniel J.; Ryan, Kerry A.; Wild, Robert C.; Self-Brown, Shannon; Lutzker, John R.; Shanley, Jenelle R.; Edwards, Anna M.; McFry, Erin A.; Moseley, Colby N.; Hodges, Amanda E.

2013-01-01

There is a strong movement toward implementation of evidence-based practices (EBP) in child welfare systems. The SafeCare parenting model is one of few parent-training models that addresses child neglect, the most common form of maltreatment. Here, the authors describe initial findings from a statewide effort to implement the EBP, SafeCare®, into a state child welfare system. A total of 50 agencies participated in training, with 295 individuals entering training to implement SafeCare. Analyses were conducted to describe the trainee sample, describe initial training and implementation indicators, and to examine correlates of initial training performance and implementation indicators. The quality of SafeCare uptake during training and implementation was high with trainees performing very well on training quizzes and role-plays, and demonstrating high fidelity when implementing SafeCare in the field (performing over 90% of expected behaviors). However, the quantity of implementation was generally low, with relatively few providers (only about 25%) implementing the model following workshop training. There were no significant predictors of training or implementation performance, once corrections for multiple comparisons were applied. The Discussion focuses on challenges to large-scale system-wide implementation of EBP. PMID:22146860

FPGA-based coprocessor for matrix algorithms implementation

NASA Astrophysics Data System (ADS)

Amira, Abbes; Bensaali, Faycal

2003-03-01

Matrix algorithms are important in many types of applications including image and signal processing. These areas require enormous computing power. A close examination of the algorithms used in these, and related, applications reveals that many of the fundamental actions involve matrix operations such as matrix multiplication which is of O (N3) on a sequential computer and O (N3/p) on a parallel system with p processors complexity. This paper presents an investigation into the design and implementation of different matrix algorithms such as matrix operations, matrix transforms and matrix decompositions using an FPGA based environment. Solutions for the problem of processing large matrices have been proposed. The proposed system architectures are scalable, modular and require less area and time complexity with reduced latency when compared with existing structures.

The Relationship between N-Back Performance and Matrix Reasoning--Implications for Training and Transfer

ERIC Educational Resources Information Center

Jaeggi, Susanne M.; Studer-Luethi, Barbara; Buschkuehl, Martin; Su, Yi-Fen; Jonides, John; Perrig, Walter J.

2010-01-01

We have previously demonstrated that training on a dual n-back task results in improvements in fluid intelligence ("Gf") as measured by matrix reasoning tasks. Here, we explored the underlying mechanisms of this transfer effect in two studies, and we evaluated the transfer potential of a single n-back task. In the first study, we demonstrated that…

Random matrices and the New York City subway system

NASA Astrophysics Data System (ADS)

Jagannath, Aukosh; Trogdon, Thomas

2017-09-01

We analyze subway arrival times in the New York City subway system. We find regimes where the gaps between trains are well modeled by (unitarily invariant) random matrix statistics and Poisson statistics. The departure from random matrix statistics is captured by the value of the Coulomb potential along the subway route. This departure becomes more pronounced as trains make more stops.

Numerical implementation of the S-matrix algorithm for modeling of relief diffraction gratings

NASA Astrophysics Data System (ADS)

Yaremchuk, Iryna; Tamulevičius, Tomas; Fitio, Volodymyr; Gražulevičiūte, Ieva; Bobitski, Yaroslav; Tamulevičius, Sigitas

2013-11-01

A new numerical implementation is developed to calculate the diffraction efficiency of relief diffraction gratings. In the new formulation, vectors containing the expansion coefficients of electric and magnetic fields on boundaries of the grating layer are expressed by additional constants. An S-matrix algorithm has been systematically described in detail and adapted to a simple matrix form. This implementation is suitable for the study of optical characteristics of periodic structures by using modern object-oriented programming languages and different standard mathematical software. The modeling program has been developed on the basis of this numerical implementation and tested by comparison with other commercially available programs and experimental data. Numerical examples are given to show the usefulness of the new implementation.

Comparison Between Navy and Army Implementation of SIOH and Recommendations for Navy Implementation

DTIC Science & Technology

2015-12-01

8 Figure 3. NAVFAC Matrix Organization and Relationship .......................................9 Figure 4. Matrix Roles...Program DFAS Defense Finance and Accounting Service DOD Department of Defense DOH Departmental Overhead EFA Engineering Field Activity EFD...Command (NAVFAC). (2015). Concept of operations. Washington, DC: Author. p. 8 8 NAVFAC is organized both as a tiered organization, and as a matrix

Computing the Density Matrix in Electronic Structure Theory on Graphics Processing Units.

PubMed

Cawkwell, M J; Sanville, E J; Mniszewski, S M; Niklasson, Anders M N

2012-11-13

The self-consistent solution of a Schrödinger-like equation for the density matrix is a critical and computationally demanding step in quantum-based models of interatomic bonding. This step was tackled historically via the diagonalization of the Hamiltonian. We have investigated the performance and accuracy of the second-order spectral projection (SP2) algorithm for the computation of the density matrix via a recursive expansion of the Fermi operator in a series of generalized matrix-matrix multiplications. We demonstrate that owing to its simplicity, the SP2 algorithm [Niklasson, A. M. N. Phys. Rev. B2002, 66, 155115] is exceptionally well suited to implementation on graphics processing units (GPUs). The performance in double and single precision arithmetic of a hybrid GPU/central processing unit (CPU) and full GPU implementation of the SP2 algorithm exceed those of a CPU-only implementation of the SP2 algorithm and traditional matrix diagonalization when the dimensions of the matrices exceed about 2000 × 2000. Padding schemes for arrays allocated in the GPU memory that optimize the performance of the CUBLAS implementations of the level 3 BLAS DGEMM and SGEMM subroutines for generalized matrix-matrix multiplications are described in detail. The analysis of the relative performance of the hybrid CPU/GPU and full GPU implementations indicate that the transfer of arrays between the GPU and CPU constitutes only a small fraction of the total computation time. The errors measured in the self-consistent density matrices computed using the SP2 algorithm are generally smaller than those measured in matrices computed via diagonalization. Furthermore, the errors in the density matrices computed using the SP2 algorithm do not exhibit any dependence of system size, whereas the errors increase linearly with the number of orbitals when diagonalization is employed.

Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication

DOE PAGES

Azad, Ariful; Ballard, Grey; Buluc, Aydin; ...

2016-11-08

Sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high-performance graph algorithms as well as for some linear solvers, such as algebraic multigrid. The scaling of existing parallel implementations of SpGEMM is heavily bound by communication. Even though 3D (or 2.5D) algorithms have been proposed and theoretically analyzed in the flat MPI model on Erdös-Rényi matrices, those algorithms had not been implemented in practice and their complexities had not been analyzed for the general case. In this work, we present the first implementation of the 3D SpGEMM formulation that exploits multiple (intranode and internode) levels of parallelism, achievingmore » significant speedups over the state-of-the-art publicly available codes at all levels of concurrencies. We extensively evaluate our implementation and identify bottlenecks that should be subject to further research.« less

Matrix multiplication on the Intel Touchstone Delta

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

Huss-Lederman, S.; Jacobson, E.M.; Tsao, A.

1993-12-31

Matrix multiplication is a key primitive in block matrix algorithms such as those found in LAPACK. We present results from our study of matrix multiplication algorithms on the Intel Touchstone Delta, a distributed memory message-passing architecture with a two-dimensional mesh topology. We obtain an implementation that uses communication primitives highly suited to the Delta and exploits the single node assembly-coded matrix multiplication. Our algorithm is completely general, able to deal with arbitrary mesh aspect ratios and matrix dimensions, and has achieved parallel efficiency of 86% with overall peak performance in excess of 8 Gflops on 256 nodes for an 8800more » {times} 8800 matrix. We describe our algorithm design and implementation, and present performance results that demonstrate scalability and robust behavior over varying mesh topologies.« less

Fast space-varying convolution using matrix source coding with applications to camera stray light reduction.

PubMed

Wei, Jianing; Bouman, Charles A; Allebach, Jan P

2014-05-01

Many imaging applications require the implementation of space-varying convolution for accurate restoration and reconstruction of images. Here, we use the term space-varying convolution to refer to linear operators whose impulse response has slow spatial variation. In addition, these space-varying convolution operators are often dense, so direct implementation of the convolution operator is typically computationally impractical. One such example is the problem of stray light reduction in digital cameras, which requires the implementation of a dense space-varying deconvolution operator. However, other inverse problems, such as iterative tomographic reconstruction, can also depend on the implementation of dense space-varying convolution. While space-invariant convolution can be efficiently implemented with the fast Fourier transform, this approach does not work for space-varying operators. So direct convolution is often the only option for implementing space-varying convolution. In this paper, we develop a general approach to the efficient implementation of space-varying convolution, and demonstrate its use in the application of stray light reduction. Our approach, which we call matrix source coding, is based on lossy source coding of the dense space-varying convolution matrix. Importantly, by coding the transformation matrix, we not only reduce the memory required to store it; we also dramatically reduce the computation required to implement matrix-vector products. Our algorithm is able to reduce computation by approximately factoring the dense space-varying convolution operator into a product of sparse transforms. Experimental results show that our method can dramatically reduce the computation required for stray light reduction while maintaining high accuracy.

Variational optimization algorithms for uniform matrix product states

NASA Astrophysics Data System (ADS)

Zauner-Stauber, V.; Vanderstraeten, L.; Fishman, M. T.; Verstraete, F.; Haegeman, J.

2018-01-01

We combine the density matrix renormalization group (DMRG) with matrix product state tangent space concepts to construct a variational algorithm for finding ground states of one-dimensional quantum lattices in the thermodynamic limit. A careful comparison of this variational uniform matrix product state algorithm (VUMPS) with infinite density matrix renormalization group (IDMRG) and with infinite time evolving block decimation (ITEBD) reveals substantial gains in convergence speed and precision. We also demonstrate that VUMPS works very efficiently for Hamiltonians with long-range interactions and also for the simulation of two-dimensional models on infinite cylinders. The new algorithm can be conveniently implemented as an extension of an already existing DMRG implementation.

Optimization of the kernel functions in a probabilistic neural network analyzing the local pattern distribution.

PubMed

Galleske, I; Castellanos, J

2002-05-01

This article proposes a procedure for the automatic determination of the elements of the covariance matrix of the gaussian kernel function of probabilistic neural networks. Two matrices, a rotation matrix and a matrix of variances, can be calculated by analyzing the local environment of each training pattern. The combination of them will form the covariance matrix of each training pattern. This automation has two advantages: First, it will free the neural network designer from indicating the complete covariance matrix, and second, it will result in a network with better generalization ability than the original model. A variation of the famous two-spiral problem and real-world examples from the UCI Machine Learning Repository will show a classification rate not only better than the original probabilistic neural network but also that this model can outperform other well-known classification techniques.

Replication of clinical innovations in multiple medical practices.

PubMed

Henley, N S; Pearce, J; Phillips, L A; Weir, S

1998-11-01

Many clinical innovations had been successfully developed and piloted in individual medical practice units of Kaiser Permanente in North Carolina during 1995 and 1996. Difficulty in replicating these clinical innovations consistently throughout all 21 medical practice units led to development of the interdisciplinary Clinical Innovation Implementation Team, which was formed by using existing resources from various departments across the region. REPLICATION MODEL: Based on a model of transfer of best practices, the implementation team developed a process and tools (master schedule and activity matrix) to quickly replicate successful pilot projects throughout all medical practice units. The process involved the following steps: identifying a practice and delineating its characteristics and measures (source identification); identifying a team to receive the (new) practice; piloting the practice; and standardizing, including the incorporation of learnings. The model includes the following components for each innovation: sending and receiving teams, an innovation coordinator role, an innovation expert role, a location expert role, a master schedule, and a project activity matrix. Communication depended on a partnership among the location experts (local knowledge and credibility), the innovation coordinator (process expertise), and the innovation experts (content expertise). Results after 12 months of working with the 21 medical practice units include integration of diabetes care team services into the practices, training of more than 120 providers in the use of personal computers and an icon-based clinical information system, and integration of a planwide self-care program into the medical practices--all with measurable improved outcomes. The model for sequential replication and the implementation team structure and function should be successful in other organizational settings.

Comparison of two matrix data structures for advanced CSM testbed applications

NASA Technical Reports Server (NTRS)

Regelbrugge, M. E.; Brogan, F. A.; Nour-Omid, B.; Rankin, C. C.; Wright, M. A.

1989-01-01

The first section describes data storage schemes presently used by the Computational Structural Mechanics (CSM) testbed sparse matrix facilities and similar skyline (profile) matrix facilities. The second section contains a discussion of certain features required for the implementation of particular advanced CSM algorithms, and how these features might be incorporated into the data storage schemes described previously. The third section presents recommendations, based on the discussions of the prior sections, for directing future CSM testbed development to provide necessary matrix facilities for advanced algorithm implementation and use. The objective is to lend insight into the matrix structures discussed and to help explain the process of evaluating alternative matrix data structures and utilities for subsequent use in the CSM testbed.

The emerging role of skeletal muscle extracellular matrix remodelling in obesity and exercise.

PubMed

Martinez-Huenchullan, S; McLennan, S V; Verhoeven, A; Twigg, S M; Tam, C S

2017-07-01

Skeletal muscle extracellular matrix remodelling has been proposed as a new feature associated with obesity and metabolic dysfunction. Exercise training improves muscle function in obesity, which may be mediated by regulatory effects on the muscle extracellular matrix. This review examined available literature on skeletal muscle extracellular matrix remodelling during obesity and the effects of exercise. A non-systematic literature review was performed on PubMed of publications from 1970 to 2015. A total of 37 studies from humans and animals were retained. Studies reported overall increases in gene and protein expression of different types of collagen, growth factors and enzymatic regulators of the skeletal muscle extracellular matrix in obesity. Only two studies investigated the effects of exercise on skeletal muscle extracellular matrix during obesity, with both suggesting a regulatory effect of exercise. The effects of exercise on muscle extracellular matrix seem to be influenced by the duration and type of exercise training with variable effects from a single session compared with a longer duration of exercise. More studies are needed to elucidate the mechanisms behind skeletal muscle extracellular matrix remodelling during obesity and the effects of exercise. © 2017 World Obesity Federation.

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.

PubMed

Fu, Xingang; Li, Shuhui; Fairbank, Michael; Wunsch, Donald C; Alonso, Eduardo

2015-09-01

This paper investigates how to train a recurrent neural network (RNN) using the Levenberg-Marquardt (LM) algorithm as well as how to implement optimal control of a grid-connected converter (GCC) using an RNN. To successfully and efficiently train an RNN using the LM algorithm, a new forward accumulation through time (FATT) algorithm is proposed to calculate the Jacobian matrix required by the LM algorithm. This paper explores how to incorporate FATT into the LM algorithm. The results show that the combination of the LM and FATT algorithms trains RNNs better than the conventional backpropagation through time algorithm. This paper presents an analytical study on the optimal control of GCCs, including theoretically ideal optimal and suboptimal controllers. To overcome the inapplicability of the optimal GCC controller under practical conditions, a new RNN controller with an improved input structure is proposed to approximate the ideal optimal controller. The performance of an ideal optimal controller and a well-trained RNN controller was compared in close to real-life power converter switching environments, demonstrating that the proposed RNN controller can achieve close to ideal optimal control performance even under low sampling rate conditions. The excellent performance of the proposed RNN controller under challenging and distorted system conditions further indicates the feasibility of using an RNN to approximate optimal control in practical applications.

Automatic segmentation of right ventricle on ultrasound images using sparse matrix transform and level set

NASA Astrophysics Data System (ADS)

Qin, Xulei; Cong, Zhibin; Halig, Luma V.; Fei, Baowei

2013-03-01

An automatic framework is proposed to segment right ventricle on ultrasound images. This method can automatically segment both epicardial and endocardial boundaries from a continuous echocardiography series by combining sparse matrix transform (SMT), a training model, and a localized region based level set. First, the sparse matrix transform extracts main motion regions of myocardium as eigenimages by analyzing statistical information of these images. Second, a training model of right ventricle is registered to the extracted eigenimages in order to automatically detect the main location of the right ventricle and the corresponding transform relationship between the training model and the SMT-extracted results in the series. Third, the training model is then adjusted as an adapted initialization for the segmentation of each image in the series. Finally, based on the adapted initializations, a localized region based level set algorithm is applied to segment both epicardial and endocardial boundaries of the right ventricle from the whole series. Experimental results from real subject data validated the performance of the proposed framework in segmenting right ventricle from echocardiography. The mean Dice scores for both epicardial and endocardial boundaries are 89.1%+/-2.3% and 83.6+/-7.3%, respectively. The automatic segmentation method based on sparse matrix transform and level set can provide a useful tool for quantitative cardiac imaging.

The Strength of Ethical Matrixes as a Tool for Normative Analysis Related to Technological Choices: The Case of Geological Disposal for Radioactive Waste.

PubMed

Kermisch, Céline; Depaus, Christophe

2018-02-01

The ethical matrix is a participatory tool designed to structure ethical reflection about the design, the introduction, the development or the use of technologies. Its collective implementation, in the context of participatory decision-making, has shown its potential usefulness. On the contrary, its implementation by a single researcher has not been thoroughly analyzed. The aim of this paper is precisely to assess the strength of ethical matrixes implemented by a single researcher as a tool for conceptual normative analysis related to technological choices. Therefore, the ethical matrix framework is applied to the management of high-level radioactive waste, more specifically to retrievable and non-retrievable geological disposal. The results of this analysis show that the usefulness of ethical matrixes is twofold and that they provide a valuable input for further decision-making. Indeed, by using ethical matrixes, implicit ethically relevant issues were revealed-namely issues of equity associated with health impacts and differences between close and remote future generations regarding ethical impacts. Moreover, the ethical matrix framework was helpful in synthesizing and comparing systematically the ethical impacts of the technologies under scrutiny, and hence in highlighting the potential ethical conflicts.

Injury Surveillance Among NASA Astronauts Using the Barell Injury Diagnosis Matrix

NASA Technical Reports Server (NTRS)

Murray, J. D.; Laughlin, M. S.; Eudy, D. L.; Wear, M. L.; VanBaalen, M. G.

2014-01-01

Astronauts perform physically demanding tasks and risk incurring musculoskeletal injuries during both groundbased training and missions. Increased injury rates throughout the history of the U.S. space program have been attributed to numerous factors, including an aging astronaut corps, increased Weightless Environment Training Facility (WETF) and Neutral Buoyancy Laboratory (NBL) training to construct the International Space Station, and improved clinical operations that promote injury prevention and reporting. With NASA program changes through the years (including retirement of the Shuttle program) and an improved training environment (including a new astronaut gym), there is no surveillance program to systematically track injury rates. A limited number of research projects have been conducted over the past 20 years to evaluate musculoskeletal injuries: (1) to evaluate orthopedic injuries from 1987 to 1995, (2) to describe upper extremity injuries, (3) to evaluate EVA spacesuit training related injuries, and (4) to evaluate in-flight musculoskeletal injuries. Nevertheless, there has been no consistently performed comprehensive assessment of musculoskeletal injuries among astronauts. The Barell Injury Diagnosis Matrix was introduced at the 2001 meeting of the International Collaborative Effort (ICE) on Injury Statistics. The Matrix proposes a standardized method of classifying body region by nature of injury. Diagnoses are coded using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding system. The purpose of this study is to assess the usefulness and complexity of the Barell Injury Diagnosis Matrix to classify and track musculoskeletal injuries among NASA astronauts.

Dynamic analysis of flexible gear trains/transmissions - An automated approach

NASA Technical Reports Server (NTRS)

Amirouche, F. M. L.; Shareef, N. H.; Xie, M.

1992-01-01

In this paper an automated algorithmic method is presented for the dynamic analysis of geared trains/transmissions. These are treated as a system of interconnected flexible bodies. The procedure developed explains the switching of constraints with time as a result of the change in the contacting areas at the gear teeth. The elastic behavior of the system is studied through the employment of three-dimensional isoparametric elements having six degrees-of-freedom at each node. The contact between the bodies is assumed at the various nodes, which could be either a line or a plane. The kinematical expressions, together with the equations of motion using Kane's method, strain energy concepts, are presented in a matrix form suitable for computer implementation. The constraint Jacobian matrices are generated automatically based on the contact information between the bodies. The concepts of the relative velocity at the contacting points at the tooth pairs and the subsequent use of the transmission ratios in the analysis is presented.

The density matrix renormalization group algorithm on kilo-processor architectures: Implementation and trade-offs

NASA Astrophysics Data System (ADS)

Nemes, Csaba; Barcza, Gergely; Nagy, Zoltán; Legeza, Örs; Szolgay, Péter

2014-06-01

In the numerical analysis of strongly correlated quantum lattice models one of the leading algorithms developed to balance the size of the effective Hilbert space and the accuracy of the simulation is the density matrix renormalization group (DMRG) algorithm, in which the run-time is dominated by the iterative diagonalization of the Hamilton operator. As the most time-dominant step of the diagonalization can be expressed as a list of dense matrix operations, the DMRG is an appealing candidate to fully utilize the computing power residing in novel kilo-processor architectures. In the paper a smart hybrid CPU-GPU implementation is presented, which exploits the power of both CPU and GPU and tolerates problems exceeding the GPU memory size. Furthermore, a new CUDA kernel has been designed for asymmetric matrix-vector multiplication to accelerate the rest of the diagonalization. Besides the evaluation of the GPU implementation, the practical limits of an FPGA implementation are also discussed.

A Fine-Grained Pipelined Implementation for Large-Scale Matrix Inversion on FPGA

NASA Astrophysics Data System (ADS)

Zhou, Jie; Dou, Yong; Zhao, Jianxun; Xia, Fei; Lei, Yuanwu; Tang, Yuxing

Large-scale matrix inversion play an important role in many applications. However to the best of our knowledge, there is no FPGA-based implementation. In this paper, we explore the possibility of accelerating large-scale matrix inversion on FPGA. To exploit the computational potential of FPGA, we introduce a fine-grained parallel algorithm for matrix inversion. A scalable linear array processing elements (PEs), which is the core component of the FPGA accelerator, is proposed to implement this algorithm. A total of 12 PEs can be integrated into an Altera StratixII EP2S130F1020C5 FPGA on our self-designed board. Experimental results show that a factor of 2.6 speedup and the maximum power-performance of 41 can be achieved compare to Pentium Dual CPU with double SSE threads.

Solving large sparse eigenvalue problems on supercomputers

NASA Technical Reports Server (NTRS)

Philippe, Bernard; Saad, Youcef

1988-01-01

An important problem in scientific computing consists in finding a few eigenvalues and corresponding eigenvectors of a very large and sparse matrix. The most popular methods to solve these problems are based on projection techniques on appropriate subspaces. The main attraction of these methods is that they only require the use of the matrix in the form of matrix by vector multiplications. The implementations on supercomputers of two such methods for symmetric matrices, namely Lanczos' method and Davidson's method are compared. Since one of the most important operations in these two methods is the multiplication of vectors by the sparse matrix, methods of performing this operation efficiently are discussed. The advantages and the disadvantages of each method are compared and implementation aspects are discussed. Numerical experiments on a one processor CRAY 2 and CRAY X-MP are reported. Possible parallel implementations are also discussed.

77 FR 12081 - Keithley Instruments Including On-Site Leased Workers from StaffMatrix and ADECCO, Solon, OH...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-28

... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-80,264] Keithley Instruments Including On-Site Leased Workers from StaffMatrix and ADECCO, Solon, OH; Amended Certification Regarding... Instruments, including on-site leased workers from StaffMatrix and Adecco, Solon, Ohio, who became totally or...

nSTAT: Open-Source Neural Spike Train Analysis Toolbox for Matlab

PubMed Central

Cajigas, I.; Malik, W.Q.; Brown, E.N.

2012-01-01

Over the last decade there has been a tremendous advance in the analytical tools available to neuroscientists to understand and model neural function. In particular, the point process - Generalized Linear Model (PPGLM) framework has been applied successfully to problems ranging from neuro-endocrine physiology to neural decoding. However, the lack of freely distributed software implementations of published PP-GLM algorithms together with problem-specific modifications required for their use, limit wide application of these techniques. In an effort to make existing PP-GLM methods more accessible to the neuroscience community, we have developed nSTAT – an open source neural spike train analysis toolbox for Matlab®. By adopting an Object-Oriented Programming (OOP) approach, nSTAT allows users to easily manipulate data by performing operations on objects that have an intuitive connection to the experiment (spike trains, covariates, etc.), rather than by dealing with data in vector/matrix form. The algorithms implemented within nSTAT address a number of common problems including computation of peri-stimulus time histograms, quantification of the temporal response properties of neurons, and characterization of neural plasticity within and across trials. nSTAT provides a starting point for exploratory data analysis, allows for simple and systematic building and testing of point process models, and for decoding of stimulus variables based on point process models of neural function. By providing an open-source toolbox, we hope to establish a platform that can be easily used, modified, and extended by the scientific community to address limitations of current techniques and to extend available techniques to more complex problems. PMID:22981419

An empirical identification and categorisation of training best practices for ERP implementation projects

NASA Astrophysics Data System (ADS)

Esteves, Jose Manuel

2014-11-01

Although training is one of the most cited critical success factors in Enterprise Resource Planning (ERP) systems implementations, few empirical studies have attempted to examine the characteristics of management of the training process within ERP implementation projects. Based on the data gathered from a sample of 158 respondents across four stakeholder groups involved in ERP implementation projects, and using a mixed method design, we have assembled a derived set of training best practices. Results suggest that the categorised list of ERP training best practices can be used to better understand training activities in ERP implementation projects. Furthermore, the results reveal that the company size and location have an impact on the relevance of training best practices. This empirical study also highlights the need to investigate the role of informal workplace trainers in ERP training activities.

Fault detection of helicopter gearboxes using the multi-valued influence matrix method

NASA Technical Reports Server (NTRS)

Chin, Hsinyung; Danai, Kourosh; Lewicki, David G.

1993-01-01

In this paper we investigate the effectiveness of a pattern classifying fault detection system that is designed to cope with the variability of fault signatures inherent in helicopter gearboxes. For detection, the measurements are monitored on-line and flagged upon the detection of abnormalities, so that they can be attributed to a faulty or normal case. As such, the detection system is composed of two components, a quantization matrix to flag the measurements, and a multi-valued influence matrix (MVIM) that represents the behavior of measurements during normal operation and at fault instances. Both the quantization matrix and influence matrix are tuned during a training session so as to minimize the error in detection. To demonstrate the effectiveness of this detection system, it was applied to vibration measurements collected from a helicopter gearbox during normal operation and at various fault instances. The results indicate that the MVIM method provides excellent results when the full range of faults effects on the measurements are included in the training set.

Hypergraph partitioning implementation for parallelizing matrix-vector multiplication using CUDA GPU-based parallel computing

NASA Astrophysics Data System (ADS)

Murni, Bustamam, A.; Ernastuti, Handhika, T.; Kerami, D.

2017-07-01

Calculation of the matrix-vector multiplication in the real-world problems often involves large matrix with arbitrary size. Therefore, parallelization is needed to speed up the calculation process that usually takes a long time. Graph partitioning techniques that have been discussed in the previous studies cannot be used to complete the parallelized calculation of matrix-vector multiplication with arbitrary size. This is due to the assumption of graph partitioning techniques that can only solve the square and symmetric matrix. Hypergraph partitioning techniques will overcome the shortcomings of the graph partitioning technique. This paper addresses the efficient parallelization of matrix-vector multiplication through hypergraph partitioning techniques using CUDA GPU-based parallel computing. CUDA (compute unified device architecture) is a parallel computing platform and programming model that was created by NVIDIA and implemented by the GPU (graphics processing unit).

Modeling and possible implementation of self-learning equivalence-convolutional neural structures for auto-encoding-decoding and clusterization of images

NASA Astrophysics Data System (ADS)

Krasilenko, Vladimir G.; Lazarev, Alexander A.; Nikitovich, Diana V.

2017-08-01

Self-learning equivalent-convolutional neural structures (SLECNS) for auto-coding-decoding and image clustering are discussed. The SLECNS architectures and their spatially invariant equivalent models (SI EMs) using the corresponding matrix-matrix procedures with basic operations of continuous logic and non-linear processing are proposed. These SI EMs have several advantages, such as the ability to recognize image fragments with better efficiency and strong cross correlation. The proposed clustering method of fragments with regard to their structural features is suitable not only for binary, but also color images and combines self-learning and the formation of weight clustered matrix-patterns. Its model is constructed and designed on the basis of recursively processing algorithms and to k-average method. The experimental results confirmed that larger images and 2D binary fragments with a large numbers of elements may be clustered. For the first time the possibility of generalization of these models for space invariant case is shown. The experiment for an image with dimension of 256x256 (a reference array) and fragments with dimensions of 7x7 and 21x21 for clustering is carried out. The experiments, using the software environment Mathcad, showed that the proposed method is universal, has a significant convergence, the small number of iterations is easily, displayed on the matrix structure, and confirmed its prospects. Thus, to understand the mechanisms of self-learning equivalence-convolutional clustering, accompanying her to the competitive processes in neurons, and the neural auto-encoding-decoding and recognition principles with the use of self-learning cluster patterns is very important which used the algorithm and the principles of non-linear processing of two-dimensional spatial functions of images comparison. These SIEMs can simply describe the signals processing during the all training and recognition stages and they are suitable for unipolar-coding multilevel signals. We show that the implementation of SLECNS based on known equivalentors or traditional correlators is possible if they are based on proposed equivalental two-dimensional functions of image similarity. The clustering efficiency in such models and their implementation depends on the discriminant properties of neural elements of hidden layers. Therefore, the main models and architecture parameters and characteristics depends on the applied types of non-linear processing and function used for image comparison or for adaptive-equivalental weighing of input patterns. Real model experiments in Mathcad are demonstrated, which confirm that non-linear processing on equivalent functions allows you to determine the neuron winners and adjust the weight matrix. Experimental results have shown that such models can be successfully used for auto- and hetero-associative recognition. They can also be used to explain some mechanisms known as "focus" and "competing gain-inhibition concept". The SLECNS architecture and hardware implementations of its basic nodes based on multi-channel convolvers and correlators with time integration are proposed. The parameters and performance of such architectures are estimated.

gkmSVM: an R package for gapped-kmer SVM.

PubMed

Ghandi, Mahmoud; Mohammad-Noori, Morteza; Ghareghani, Narges; Lee, Dongwon; Garraway, Levi; Beer, Michael A

2016-07-15

We present a new R package for training gapped-kmer SVM classifiers for DNA and protein sequences. We describe an improved algorithm for kernel matrix calculation that speeds run time by about 2 to 5-fold over our original gkmSVM algorithm. This package supports several sequence kernels, including: gkmSVM, kmer-SVM, mismatch kernel and wildcard kernel. gkmSVM package is freely available through the Comprehensive R Archive Network (CRAN), for Linux, Mac OS and Windows platforms. The C ++ implementation is available at www.beerlab.org/gkmsvm mghandi@gmail.com or mbeer@jhu.edu Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Sparse matrix-vector multiplication on network-on-chip

NASA Astrophysics Data System (ADS)

Sun, C.-C.; Götze, J.; Jheng, H.-Y.; Ruan, S.-J.

2010-12-01

In this paper, we present an idea for performing matrix-vector multiplication by using Network-on-Chip (NoC) architecture. In traditional IC design on-chip communications have been designed with dedicated point-to-point interconnections. Therefore, regular local data transfer is the major concept of many parallel implementations. However, when dealing with the parallel implementation of sparse matrix-vector multiplication (SMVM), which is the main step of all iterative algorithms for solving systems of linear equation, the required data transfers depend on the sparsity structure of the matrix and can be extremely irregular. Using the NoC architecture makes it possible to deal with arbitrary structure of the data transfers; i.e. with the irregular structure of the sparse matrices. So far, we have already implemented the proposed SMVM-NoC architecture with the size 4×4 and 5×5 in IEEE 754 single float point precision using FPGA.

Decoding and optimized implementation of SECDED codes over GF(q)

DOEpatents

Ward, H. Lee; Ganti, Anand; Resnick, David R

2013-10-22

A plurality of columns for a check matrix that implements a distance d linear error correcting code are populated by providing a set of vectors from which to populate the columns, and applying to the set of vectors a filter operation that reduces the set by eliminating therefrom all vectors that would, if used to populate the columns, prevent the check matrix from satisfying a column-wise linear independence requirement associated with check matrices of distance d linear codes. One of the vectors from the reduced set may then be selected to populate one of the columns. The filtering and selecting repeats iteratively until either all of the columns are populated or the number of currently unpopulated columns exceeds the number of vectors in the reduced set. Columns for the check matrix may be processed to reduce the amount of logic needed to implement the check matrix in circuit logic.

Design, decoding and optimized implementation of SECDED codes over GF(q)

DOEpatents

Ward, H Lee; Ganti, Anand; Resnick, David R

2014-06-17

A plurality of columns for a check matrix that implements a distance d linear error correcting code are populated by providing a set of vectors from which to populate the columns, and applying to the set of vectors a filter operation that reduces the set by eliminating therefrom all vectors that would, if used to populate the columns, prevent the check matrix from satisfying a column-wise linear independence requirement associated with check matrices of distance d linear codes. One of the vectors from the reduced set may then be selected to populate one of the columns. The filtering and selecting repeats iteratively until either all of the columns are populated or the number of currently unpopulated columns exceeds the number of vectors in the reduced set. Columns for the check matrix may be processed to reduce the amount of logic needed to implement the check matrix in circuit logic.

Decoding and optimized implementation of SECDED codes over GF(q)

DOEpatents

Ward, H Lee; Ganti, Anand; Resnick, David R

2014-11-18

A plurality of columns for a check matrix that implements a distance d linear error correcting code are populated by providing a set of vectors from which to populate the columns, and applying to the set of vectors a filter operation that reduces the set by eliminating therefrom all vectors that would, if used to populate the columns, prevent the check matrix from satisfying a column-wise linear independence requirement associated with check matrices of distance d linear codes. One of the vectors from the reduced set may then be selected to populate one of the columns. The filtering and selecting repeats iteratively until either all of the columns are populated or the number of currently unpopulated columns exceeds the number of vectors in the reduced set. Columns for the check matrix may be processed to reduce the amount of logic needed to implement the check matrix in circuit logic.

Addiction treatment staff perceptions of training as a facilitator or barrier to implementing evidence-based practices: a national qualitative research study.

PubMed

D'Ippolito, Melinda; Lundgren, Lena; Amodeo, Maryann; Beltrame, Clelia; Lim, Lynn; Chassler, Deborah

2015-01-01

This qualitative effort examines training-related facilitators and barriers to implementing evidence-based practices (EBPs) in 285 community-based addiction treatment organizations (CBOs) nationwide that were funded by the Substance Abuse and Mental Health Services Administration Center for Substance Abuse Treatment (SAMHSA/CSAT) to implement EBPs. Using qualitative interviews, the authors explored staff (N = 514) descriptions of training as a facilitator or barrier to implementation. Training-related factors were described 663 times as facilitators (by 440 staff) and 233 times as barriers (by 170 staff). Responses were coded using content analysis. Specific characteristics of the training received, such as access to expert knowledge and quality, as well as ongoing training were described as central facilitating factors to EBP implementation. Key reasons training was perceived as a barrier included the amount of training; the training did not fit current staff and/or organizational needs; the training for some EBPs was perceived to be too demanding; and the difficulty accessing training. Since government funders of addiction treatments require that CBOs implement EBPs and they provide training resources, the quality, flexibility, and accessibility of the available training needs to be promoted throughout the addiction treatment network. Only 17% of CBOs reported that they used the SAMHSA-funded ATTC (Addiction Technology Transfer Center) training centers and 42% used SAMHSA technical assistance. Hence, federally funded resources for training were not always used.

Carrier Aviation and Hybrid Conflict: The Future of the Strike Fighter

DTIC Science & Technology

2011-05-01

MDTC NTA NTSIR OCA OEF OIF PGM. ROE SACT SAM SAR· SEAD SFARP SFTI SFWT .STW T& R TST UAS UCAS-D ULT Acronyms Anti Air Warfare...34tance ’ \\ ’ ’ of air-to-air training, or suggest a change to the training and readiness matrix (T& R ) or IDRC, but rather examine the mission...illustrate another example of the emphasis on air-to~air. In 2008, the new T & R matrix for the USMC F/ A-18 eliminated the Air Combat Tactics

SKYNET: an efficient and robust neural network training tool for machine learning in astronomy

NASA Astrophysics Data System (ADS)

Graff, Philip; Feroz, Farhan; Hobson, Michael P.; Lasenby, Anthony

2014-06-01

We present the first public release of our generic neural network training algorithm, called SKYNET. This efficient and robust machine learning tool is able to train large and deep feed-forward neural networks, including autoencoders, for use in a wide range of supervised and unsupervised learning applications, such as regression, classification, density estimation, clustering and dimensionality reduction. SKYNET uses a `pre-training' method to obtain a set of network parameters that has empirically been shown to be close to a good solution, followed by further optimization using a regularized variant of Newton's method, where the level of regularization is determined and adjusted automatically; the latter uses second-order derivative information to improve convergence, but without the need to evaluate or store the full Hessian matrix, by using a fast approximate method to calculate Hessian-vector products. This combination of methods allows for the training of complicated networks that are difficult to optimize using standard backpropagation techniques. SKYNET employs convergence criteria that naturally prevent overfitting, and also includes a fast algorithm for estimating the accuracy of network outputs. The utility and flexibility of SKYNET are demonstrated by application to a number of toy problems, and to astronomical problems focusing on the recovery of structure from blurred and noisy images, the identification of gamma-ray bursters, and the compression and denoising of galaxy images. The SKYNET software, which is implemented in standard ANSI C and fully parallelized using MPI, is available at http://www.mrao.cam.ac.uk/software/skynet/.

Acoustooptic linear algebra processors - Architectures, algorithms, and applications

NASA Technical Reports Server (NTRS)

Casasent, D.

1984-01-01

Architectures, algorithms, and applications for systolic processors are described with attention to the realization of parallel algorithms on various optical systolic array processors. Systolic processors for matrices with special structure and matrices of general structure, and the realization of matrix-vector, matrix-matrix, and triple-matrix products and such architectures are described. Parallel algorithms for direct and indirect solutions to systems of linear algebraic equations and their implementation on optical systolic processors are detailed with attention to the pipelining and flow of data and operations. Parallel algorithms and their optical realization for LU and QR matrix decomposition are specifically detailed. These represent the fundamental operations necessary in the implementation of least squares, eigenvalue, and SVD solutions. Specific applications (e.g., the solution of partial differential equations, adaptive noise cancellation, and optimal control) are described to typify the use of matrix processors in modern advanced signal processing.

Speeding Up Non-Parametric Bootstrap Computations for Statistics Based on Sample Moments in Small/Moderate Sample Size Applications

PubMed Central

Chaibub Neto, Elias

2015-01-01

In this paper we propose a vectorized implementation of the non-parametric bootstrap for statistics based on sample moments. Basically, we adopt the multinomial sampling formulation of the non-parametric bootstrap, and compute bootstrap replications of sample moment statistics by simply weighting the observed data according to multinomial counts instead of evaluating the statistic on a resampled version of the observed data. Using this formulation we can generate a matrix of bootstrap weights and compute the entire vector of bootstrap replications with a few matrix multiplications. Vectorization is particularly important for matrix-oriented programming languages such as R, where matrix/vector calculations tend to be faster than scalar operations implemented in a loop. We illustrate the application of the vectorized implementation in real and simulated data sets, when bootstrapping Pearson’s sample correlation coefficient, and compared its performance against two state-of-the-art R implementations of the non-parametric bootstrap, as well as a straightforward one based on a for loop. Our investigations spanned varying sample sizes and number of bootstrap replications. The vectorized bootstrap compared favorably against the state-of-the-art implementations in all cases tested, and was remarkably/considerably faster for small/moderate sample sizes. The same results were observed in the comparison with the straightforward implementation, except for large sample sizes, where the vectorized bootstrap was slightly slower than the straightforward implementation due to increased time expenditures in the generation of weight matrices via multinomial sampling. PMID:26125965

Developing and deploying a patient safety program in a large health care delivery system: you can't fix what you don't know about.

PubMed

Bagian, J P; Lee, C; Gosbee, J; DeRosier, J; Stalhandske, E; Eldridge, N; Williams, R; Burkhardt, M

2001-10-01

The Veterans Administration (VA) identified patient safety as a high-priority issue in 1997 and implemented the Patient Safety Improvement (PSI) initiative throughout its entire health care system. In spring 1998 the External Panel on Patient Safety System Design recommended alternative methods to enhance reporting and thereby improve patient safety. REDESIGNING THE PSI INITIATIVE: The VA began redesigning the PSI initiative in late 1998. The dedicated National Center for Patient Safety (NCPS) was established. Using the panel's recommendations as a jumping-off point, NCPS began to identify known and suspected obstacles to implementation (such as possible punitive consequences and additional workload). NCPS adopted a prioritization scoring method, the Safety Assessment Code (SAC) Matrix, for close calls and adverse events, which requires assessing the event's actual or potential severity and the probability of occurrence. The SAC Matrix specifies actions that must be taken for given scores. Use of the SAC score permits a consistent handling of reports throughout the VA system and a rational selection of cases to be considered. A system for performing a root cause analysis (RCA) was developed to guide caregivers at the frontline. This system includes a computer-aided tool, a flipbook containing a series of six questions, and reporting of the findings back to the reporter. The final step requires that the facility's chief executive officer "concur" or "nonconcur" on each recommended corrective action. The RCA team outlines how the effectiveness of the corrective action will be evaluated to verify that the action has had the intended effect, and it ascertains that there were no unintended negative consequences. Based on successful implementation in two pilots, full-scale national rollout to the 173 facilities began in April 2000 and was concluded by the end of August 2000. NCPS supplied 3 days of training for individuals at each facility. The training included didactic components, an introduction to human factors engineering concepts, and small- and large-group simulation exercises. Facility leaders were reminded of the necessity to reinforce the point that assignment to an RCA team was considered an important duty. It is essential to design and implement a system that takes into account the concerns of the frontline personnel and is aimed at being a tool for learning and not accountability. The system must have as its primary focus the dissemination of positive actions that reduce or eliminate vulnerabilities that have been identified, not a counting exercise of the number of reports.

Training Parent Implementation of Discrete-Trial Teaching: Effects on Generalization of Parent Teaching and Child Correct Responding

ERIC Educational Resources Information Center

Lafasakis, Michael; Sturmey, Peter

2007-01-01

Behavioral skills training was used to teach 3 parents to implement discrete-trial teaching with their children with developmental disabilities. Parents learned to implement discrete-trial training, their skills generalized to novel programs, and the children's correct responding increased, suggesting that behavioral skills training is an…

The implementation research institute: training mental health implementation researchers in the United States

PubMed Central

2013-01-01

Background The Implementation Research Institute (IRI) provides two years of training in mental health implementation science for 10 new fellows each year. The IRI is supported by a National Institute of Mental Health (NIMH) R25 grant and the Department of Veterans Affairs (VA). Fellows attend two annual week-long trainings at Washington University in St. Louis. Training is provided through a rigorous curriculum, local and national mentoring, a ‘learning site visit’ to a federally funded implementation research project, pilot research, and grant writing. Methods This paper describes the rationale, components, outcomes to date, and participant experiences with IRI. Results IRI outcomes include 31 newly trained implementation researchers, their new grant proposals, contributions to other national dissemination and implementation research training, and publications in implementation science authored by the Core Faculty and fellows. Former fellows have obtained independent research funding in implementation science and are beginning to serve as mentors for more junior investigators. Conclusions Based on the number of implementation research grant proposals and papers produced by fellows to date, the IRI is proving successful in preparing new researchers who can inform the process of making evidence-based mental healthcare more available through real-world settings of care and who are advancing the field of implementation science. PMID:24007290

Implementation of Cognitive-Behavioral Substance Abuse Treatment in Sub-Saharan Africa: Treatment Engagement and Abstinence at Treatment Exit.

PubMed

Gouse, Hetta; Magidson, Jessica F; Burnhams, Warren; Remmert, Jocelyn E; Myers, Bronwyn; Joska, John A; Carrico, Adam W

2016-01-01

This study documented the treatment cascade for engagement in care and abstinence at treatment exit as well as examined correlates of these outcomes for the first certified Matrix Model® substance abuse treatment site in Sub-Saharan Africa. This retrospective chart review conducted at a resource-limited community clinic in Cape Town, South Africa, assessed treatment readiness and substance use severity at treatment entry as correlates of the number of sessions attended and biologically confirmed abstinence at treatment exit among 986 clients who initiated treatment from 2009-2014. Sociodemographic and clinical correlates of treatment outcomes were examined using logistic regression, modeling treatment completion and abstinence at treatment exit separately. Of the 2,233 clients who completed screening, approximately 44% (n = 986) initiated treatment. Among those who initiated treatment, 45% completed at least four group sessions, 30% completed early recovery skills training (i.e., at least eight group sessions), and 13% completed the full 16-week program. Approximately half (54%) of clients who provided a urine sample had negative urine toxicology results for any substance at treatment exit. Higher motivation at treatment entry was independently associated with greater odds of treatment completion and negative urine toxicology results at treatment exit. Findings provide initial support for the successful implementation the Matrix Model in a resource-limited setting. Motivational enhancement interventions could support treatment initiation, promote sustained engagement in treatment, and achieve better treatment outcomes.

Views of policy makers and health promotion professionals on factors facilitating implementation and maintenance of interventions and policies promoting physical activity and healthy eating: results of the DEDIPAC project.

PubMed

Muellmann, Saskia; Steenbock, Berit; De Cocker, Katrien; De Craemer, Marieke; Hayes, Catherine; O'Shea, Miriam P; Horodyska, Karolina; Bell, Justyna; Luszczynska, Aleksandra; Roos, Gun; Langøien, Lars Jørun; Rugseth, Gro; Terragni, Laura; De Bourdeaudhuij, Ilse; Brug, Johannes; Pischke, Claudia R

2017-12-06

The uptake, implementation, and maintenance of effective interventions promoting physical activity (PA) and a healthy diet and the implementation of policies targeting these behaviors are processes not well understood. We aimed to gain a better understanding of what health promotion professionals and policy makers think are important factors facilitating adoption, implementation, and maintenance of multi-level interventions and policies promoting healthy eating and PA in Belgium, Germany, Ireland, Norway, and Poland. Six interventions and six policies were identified based on pre-defined criteria. Forty semi-structured interviews were conducted with stakeholders from various sectors to elicit information on factors impacting adoption, implementation, and maintenance of these interventions and policies. All interview transcripts were coded in NVivo, using a common categorization matrix. Coding in the respective countries was done by one researcher and validated by a second researcher. Active involvement of relevant stakeholders and good communication between coordinating organizations were described as important factors contributing to successful adoption and implementation of both interventions and policies. Additional facilitating factors included sufficient training of staff and tailoring of materials to match needs of various target groups. The respondents indicated that maintenance of implemented interventions/policies depended on whether they were embedded in existing or newly created organizational structures in different settings and whether continued funding was secured. Despite considerable heterogeneity of interventions and health policies in the five countries, stakeholders across these countries identify similar factors facilitating adoption, implementation, and maintenance of these interventions and policies.

Intelligent process control of fiber chemical vapor deposition

NASA Astrophysics Data System (ADS)

Jones, John Gregory

Chemical Vapor Deposition (CVD) is a widely used process for the application of thin films. In this case, CVD is being used to apply a thin film interface coating to single crystal monofilament sapphire (Alsb2Osb3) fibers for use in Ceramic Matrix Composites (CMC's). The hot-wall reactor operates at near atmospheric pressure which is maintained using a venturi pump system. Inert gas seals obviate the need for a sealed system. A liquid precursor delivery system has been implemented to provide precise stoichiometry control. Neural networks have been implemented to create real-time process description models trained using data generated based on a Navier-Stokes finite difference model of the process. Automation of the process to include full computer control and data logging capability is also presented. In situ sensors including a quadrupole mass spectrometer, thermocouples, laser scanner, and Raman spectrometer have been implemented to determine the gas phase reactants and coating quality. A fuzzy logic controller has been developed to regulate either the gas phase or the in situ temperature of the reactor using oxygen flow rate as an actuator. Scanning electron microscope (SEM) images of various samples are shown. A hierarchical control structure upon which the control structure is based is also presented.

Evaluating the Implementation of Performance Improvement Training: The E[superscript 3] Process for Success

ERIC Educational Resources Information Center

Larbi-Apau, Josephine A.; Moseley, James L.

2008-01-01

This article provides a comprehensive approach to careful review and evaluation of the implementation of performance training intervention. It discusses the E[superscript 3] process for success, a basic framework for evaluating the implementation phase of a training program implemented as a broad-based performance improvement strategy. The intent…

River flow prediction using hybrid models of support vector regression with the wavelet transform, singular spectrum analysis and chaotic approach

NASA Astrophysics Data System (ADS)

Baydaroğlu, Özlem; Koçak, Kasım; Duran, Kemal

2018-06-01

Prediction of water amount that will enter the reservoirs in the following month is of vital importance especially for semi-arid countries like Turkey. Climate projections emphasize that water scarcity will be one of the serious problems in the future. This study presents a methodology for predicting river flow for the subsequent month based on the time series of observed monthly river flow with hybrid models of support vector regression (SVR). Monthly river flow over the period 1940-2012 observed for the Kızılırmak River in Turkey has been used for training the method, which then has been applied for predictions over a period of 3 years. SVR is a specific implementation of support vector machines (SVMs), which transforms the observed input data time series into a high-dimensional feature space (input matrix) by way of a kernel function and performs a linear regression in this space. SVR requires a special input matrix. The input matrix was produced by wavelet transforms (WT), singular spectrum analysis (SSA), and a chaotic approach (CA) applied to the input time series. WT convolutes the original time series into a series of wavelets, and SSA decomposes the time series into a trend, an oscillatory and a noise component by singular value decomposition. CA uses a phase space formed by trajectories, which represent the dynamics producing the time series. These three methods for producing the input matrix for the SVR proved successful, while the SVR-WT combination resulted in the highest coefficient of determination and the lowest mean absolute error.

Implementing portfolio in postgraduate general practice training. Benefits and recommendations.

PubMed

Alotaibi, Fawaz S

2012-10-01

This paper presents a review to explore the literature focusing on portfolio in postgraduate general practice (GP) training, and to examine the impact of implementation of portfolio on learning process, as well as proposing recommendations for its implementation in postgraduate GP training. An electronic search was carried out on several databases for studies addressing portfolio in postgraduate GP training. Six articles were included to address specifically the effectiveness of portfolio in postgraduate GP training. Five of them described successful experiences of portfolio-based learning implementation. Only one article addressed portfolio-based assessment in postgraduate GP training. The existing evidence provides various benefits of professional portfolio-based learning. It does appear to have advantages of stimulating reflective learning, promoting proactive learning, and bridging the hospital experiences of the learners to GP. Moreover, the challenges to implementation of portfolio-based learning are often based on orientation and training of stakeholders.

XDATA

DTIC Science & Technology

2017-05-01

Parallelizing PINT The main focus of our research into the parallelization of the PINT algorithm has been to find appropriately scalable matrix math algorithms...leading eigenvector of the adjacency matrix of the pairwise affinity graph. We reviewed the matrix math implementation currently being used in PINT and...the new versions support a feature called matrix.distributed, which is some level of support for distributed matrix math ; however our code is not

Creating Opportunities: Good Practice in Small Business Training for Australian Rural Women.

ERIC Educational Resources Information Center

Simpson, Lyn; Daws, Leonie; Wood, Leanne

2002-01-01

To overcome barriers to participation in small business training faced by rural Australian women, training needs and delivery issues were identified and a good practice matrix was developed with the following components: marketing, content, delivery, support, impact, and innovation. Underlying principles included unique needs, diversity, use of…

The Effects of Mother-Implemented Picture Exchange Communication System Training on Spontaneous Communicative Behaviors of Young Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Park, Ju Hee

2010-01-01

The current study examined whether mothers could be taught to implement the picture exchange communication system (PECS) training with their child and investigated the effects of the mother-implemented PECS training on the spontaneous communication of young children with autism spectrum disorders. Three mothers were trained to teach their child…

Juxtaposed Integration Matrix: A Crisis Communication Tool

DTIC Science & Technology

2005-05-19

Integration Matrix: A Crisis Communication Tool 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR (S) 5d. PROJECT NUMBER 5e...for their patience and understanding when Daddy had to do schoolwork. The views expressed in this article are those of the author and do not reflect...62 APPENDIX A JUXTAPOSED INTEGRATION MATRIX TRAINING GUIDE ............................64 B QUESTIONNAIRE WORKSHEET

Blockwise conjugate gradient methods for image reconstruction in volumetric CT.

PubMed

Qiu, W; Titley-Peloquin, D; Soleimani, M

2012-11-01

Cone beam computed tomography (CBCT) enables volumetric image reconstruction from 2D projection data and plays an important role in image guided radiation therapy (IGRT). Filtered back projection is still the most frequently used algorithm in applications. The algorithm discretizes the scanning process (forward projection) into a system of linear equations, which must then be solved to recover images from measured projection data. The conjugate gradients (CG) algorithm and its variants can be used to solve (possibly regularized) linear systems of equations Ax=b and linear least squares problems minx∥b-Ax∥2, especially when the matrix A is very large and sparse. Their applications can be found in a general CT context, but in tomography problems (e.g. CBCT reconstruction) they have not widely been used. Hence, CBCT reconstruction using the CG-type algorithm LSQR was implemented and studied in this paper. In CBCT reconstruction, the main computational challenge is that the matrix A usually is very large, and storing it in full requires an amount of memory well beyond the reach of commodity computers. Because of these memory capacity constraints, only a small fraction of the weighting matrix A is typically used, leading to a poor reconstruction. In this paper, to overcome this difficulty, the matrix A is partitioned and stored blockwise, and blockwise matrix-vector multiplications are implemented within LSQR. This implementation allows us to use the full weighting matrix A for CBCT reconstruction without further enhancing computer standards. Tikhonov regularization can also be implemented in this fashion, and can produce significant improvement in the reconstructed images. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Cucheb: A GPU implementation of the filtered Lanczos procedure

NASA Astrophysics Data System (ADS)

Aurentz, Jared L.; Kalantzis, Vassilis; Saad, Yousef

2017-11-01

This paper describes the software package Cucheb, a GPU implementation of the filtered Lanczos procedure for the solution of large sparse symmetric eigenvalue problems. The filtered Lanczos procedure uses a carefully chosen polynomial spectral transformation to accelerate convergence of the Lanczos method when computing eigenvalues within a desired interval. This method has proven particularly effective for eigenvalue problems that arise in electronic structure calculations and density functional theory. We compare our implementation against an equivalent CPU implementation and show that using the GPU can reduce the computation time by more than a factor of 10. Program Summary Program title: Cucheb Program Files doi:http://dx.doi.org/10.17632/rjr9tzchmh.1 Licensing provisions: MIT Programming language: CUDA C/C++ Nature of problem: Electronic structure calculations require the computation of all eigenvalue-eigenvector pairs of a symmetric matrix that lie inside a user-defined real interval. Solution method: To compute all the eigenvalues within a given interval a polynomial spectral transformation is constructed that maps the desired eigenvalues of the original matrix to the exterior of the spectrum of the transformed matrix. The Lanczos method is then used to compute the desired eigenvectors of the transformed matrix, which are then used to recover the desired eigenvalues of the original matrix. The bulk of the operations are executed in parallel using a graphics processing unit (GPU). Runtime: Variable, depending on the number of eigenvalues sought and the size and sparsity of the matrix. Additional comments: Cucheb is compatible with CUDA Toolkit v7.0 or greater.

A Tensor Product Formulation of Strassen's Matrix Multiplication Algorithm with Memory Reduction

DOE PAGES

Kumar, B.; Huang, C. -H.; Sadayappan, P.; ...

1995-01-01

In this article, we present a program generation strategy of Strassen's matrix multiplication algorithm using a programming methodology based on tensor product formulas. In this methodology, block recursive programs such as the fast Fourier Transforms and Strassen's matrix multiplication algorithm are expressed as algebraic formulas involving tensor products and other matrix operations. Such formulas can be systematically translated to high-performance parallel/vector codes for various architectures. In this article, we present a nonrecursive implementation of Strassen's algorithm for shared memory vector processors such as the Cray Y-MP. A previous implementation of Strassen's algorithm synthesized from tensor product formulas required working storagemore » of size O(7 n ) for multiplying 2 n × 2 n matrices. We present a modified formulation in which the working storage requirement is reduced to O(4 n ). The modified formulation exhibits sufficient parallelism for efficient implementation on a shared memory multiprocessor. Performance results on a Cray Y-MP8/64 are presented.« less

Learning to rank image tags with limited training examples.

PubMed

Songhe Feng; Zheyun Feng; Rong Jin

2015-04-01

With an increasing number of images that are available in social media, image annotation has emerged as an important research topic due to its application in image matching and retrieval. Most studies cast image annotation into a multilabel classification problem. The main shortcoming of this approach is that it requires a large number of training images with clean and complete annotations in order to learn a reliable model for tag prediction. We address this limitation by developing a novel approach that combines the strength of tag ranking with the power of matrix recovery. Instead of having to make a binary decision for each tag, our approach ranks tags in the descending order of their relevance to the given image, significantly simplifying the problem. In addition, the proposed method aggregates the prediction models for different tags into a matrix, and casts tag ranking into a matrix recovery problem. It introduces the matrix trace norm to explicitly control the model complexity, so that a reliable prediction model can be learned for tag ranking even when the tag space is large and the number of training images is limited. Experiments on multiple well-known image data sets demonstrate the effectiveness of the proposed framework for tag ranking compared with the state-of-the-art approaches for image annotation and tag ranking.

Bayesian automated cortical segmentation for neonatal MRI

NASA Astrophysics Data System (ADS)

Chou, Zane; Paquette, Natacha; Ganesh, Bhavana; Wang, Yalin; Ceschin, Rafael; Nelson, Marvin D.; Macyszyn, Luke; Gaonkar, Bilwaj; Panigrahy, Ashok; Lepore, Natasha

2017-11-01

Several attempts have been made in the past few years to develop and implement an automated segmentation of neonatal brain structural MRI. However, accurate automated MRI segmentation remains challenging in this population because of the low signal-to-noise ratio, large partial volume effects and inter-individual anatomical variability of the neonatal brain. In this paper, we propose a learning method for segmenting the whole brain cortical grey matter on neonatal T2-weighted images. We trained our algorithm using a neonatal dataset composed of 3 fullterm and 4 preterm infants scanned at term equivalent age. Our segmentation pipeline combines the FAST algorithm from the FSL library software and a Bayesian segmentation approach to create a threshold matrix that minimizes the error of mislabeling brain tissue types. Our method shows promising results with our pilot training set. In both preterm and full-term neonates, automated Bayesian segmentation generates a smoother and more consistent parcellation compared to FAST, while successfully removing the subcortical structure and cleaning the edges of the cortical grey matter. This method show promising refinement of the FAST segmentation by considerably reducing manual input and editing required from the user, and further improving reliability and processing time of neonatal MR images. Further improvement will include a larger dataset of training images acquired from different manufacturers.

Teacher training as a behavior change process: principles and results from a longitudinal study.

PubMed

Kealey, K A; Peterson, A V; Gaul, M A; Dinh, K T

2000-02-01

For students to realize the benefits of behavior change curricula for disease prevention, programs must be implemented effectively. However, implementation failure is a common problem documented in the literature. In this article, teacher training is conceptualized as a behavior change process with explicit teacher motivation components included to help effect the intended behavior (i.e., implementation). Using this method, the Hutchinson Smoking Prevention Project, a randomized controlled trial in school-based smoking prevention, conducted 65 in-service programs, training nearly 500 teachers (Grades 3-10) from 72 schools. Implementation was monitored by teacher self-report and classroom observations by project staff. The results were favorable. All eligible teachers received training, virtually all trained teachers implemented the research curriculum, and 89% of observed lessons worked as intended. It is concluded that teacher training conceptualized as a behavior change process and including explicit teacher motivation components can promote effective implementation of behavior change curricula in public school classrooms.

A RCT of three training and support strategies to encourage implementation of screening and brief alcohol intervention by general practitioners.

PubMed

Kaner, E F; Lock, C A; McAvoy, B R; Heather, N; Gilvarry, E

1999-09-01

Providing doctors with new research findings or clinical guidelines is rarely sufficient to promote changes in clinical practice. An implementation strategy is required to provide clinicians with the skills and encouragement needed to alter established routines. To evaluate the effectiveness and cost-effectiveness of different training and support strategies in promoting implementation of screening and brief alcohol intervention (SBI) by general practitioners (GPs). Subjects were 128 GPs, one per practice, from the former Northern and Yorkshire Regional Health Authority, who agreed to use the 'Drink-Less' SBI programme in an earlier dissemination trial. GPs were stratified by previous marketing conditions and randomly allocated to three intensities of training and support: controls (n = 43) received the programme with written guidelines only, trained GPs (n = 43) received the programme plus practice-based training in programme usage, trained and supported GPs (n = 42) received the programme plus practice-based training and a support telephone call every two weeks. GPs were requested to use the programme for three months. Outcome measures included proportions of GPs implementing the programme and numbers of patients screened and intervened with. Seventy-three (57%) GPs implemented the programme and screened 11,007 patients for risk drinking. Trained and supported GPs were significantly more likely to implement the programme (71%) than controls (44%) or trained GPs (56%); they also screened, and intervened with, significantly more patients. Costs per patient screened were: trained and supported GPs, 1.05 Pounds; trained GPs, 1.08 Pounds; and controls, 1.47 Pounds. Costs per patient intervened with were: trained and supported GPs, 5.43 Pounds; trained GPs, 6.02 Pounds; and controls, 8.19 Pounds. Practice-based training plus support telephone calls was the most effective and cost-effective strategy to encourage implementation of SBI by GPs.

Targeting Learning Needs in an Australian Aid Project in Thailand.

ERIC Educational Resources Information Center

Kinder, Rex; Karawanan, Chaisak

1996-01-01

The Thailand Land Titling Project includes a training and development component aimed at long-term sustainability. A training target matrix was developed to identify the knowledge, skills, experience, and performance standards required and needs for training at various levels. Six broad and flexible career paths allow for logical succession,…

Theory and implementation of H-matrix based iterative and direct solvers for Helmholtz and elastodynamic oscillatory kernels

NASA Astrophysics Data System (ADS)

Chaillat, Stéphanie; Desiderio, Luca; Ciarlet, Patrick

2017-12-01

In this work, we study the accuracy and efficiency of hierarchical matrix (H-matrix) based fast methods for solving dense linear systems arising from the discretization of the 3D elastodynamic Green's tensors. It is well known in the literature that standard H-matrix based methods, although very efficient tools for asymptotically smooth kernels, are not optimal for oscillatory kernels. H2-matrix and directional approaches have been proposed to overcome this problem. However the implementation of such methods is much more involved than the standard H-matrix representation. The central questions we address are twofold. (i) What is the frequency-range in which the H-matrix format is an efficient representation for 3D elastodynamic problems? (ii) What can be expected of such an approach to model problems in mechanical engineering? We show that even though the method is not optimal (in the sense that more involved representations can lead to faster algorithms) an efficient solver can be easily developed. The capabilities of the method are illustrated on numerical examples using the Boundary Element Method.

A real-time LPC-based vocal tract area display for voice development.

PubMed

Rossiter, D; Howard, D M; Downes, M

1994-12-01

This article reports the design and implementation of a graphical display that presents an approximation to vocal tract area in real time for voiced vowel articulation. The acoustic signal is digitally sampled by the system. From these data a set of reflection coefficients is derived using linear predictive coding. A matrix of area coefficients is then determined that approximates the vocal tract area of the user. From this information a graphical display is then generated. The complete cycle of analysis and display is repeated at approximately 20 times/s. Synchronised audio and visual sequences can be recorded and used as dynamic targets for articulatory development. Use of the system is illustrated by diagrams of system output for spoken cardinal vowels and for vowels sung in a trained and untrained style.

A CLT on the SNR of Diagonally Loaded MVDR Filters

NASA Astrophysics Data System (ADS)

Rubio, Francisco; Mestre, Xavier; Hachem, Walid

2012-08-01

This paper studies the fluctuations of the signal-to-noise ratio (SNR) of minimum variance distorsionless response (MVDR) filters implementing diagonal loading in the estimation of the covariance matrix. Previous results in the signal processing literature are generalized and extended by considering both spatially as well as temporarily correlated samples. Specifically, a central limit theorem (CLT) is established for the fluctuations of the SNR of the diagonally loaded MVDR filter, under both supervised and unsupervised training settings in adaptive filtering applications. Our second-order analysis is based on the Nash-Poincar\\'e inequality and the integration by parts formula for Gaussian functionals, as well as classical tools from statistical asymptotic theory. Numerical evaluations validating the accuracy of the CLT confirm the asymptotic Gaussianity of the fluctuations of the SNR of the MVDR filter.

Dissemination and Implementation of Evidence-Based Practices: Training and Consultation as Implementation Strategies

PubMed Central

Edmunds, Julie M.; Beidas, Rinad S.; Kendall, Philip C.

2013-01-01

To provide effective treatment for individuals with mental health needs, there is a movement to deploy evidence-based practices (EBPs) developed in research settings into community settings. Training clinicians in EBPs is often used as the primary implementation strategy in these efforts, despite evidence suggesting that training alone does not change therapist behavior. A promising implementation strategy that can be combined with training is consultation, or ongoing support. This paper reviews the literature on consultation following initial training. A model of consultation is presented as well as preliminary findings regarding effective consultation techniques. Future directions are offered. PMID:24072959

Effects of moving training on histology and biomarkers levels of articular cartilage.

PubMed

Qi, Chang; Changlin, Huang

2006-10-01

To study the adaptation process and extent of articular cartilage in the canine knee joint to different modes of movements and to investigate if levels of cartilage oligomeric matrix protein (COMP), matrix metalloproteinases-1 (MMP-1), matrix metalloproteinases-3 (MMP-3), and tissue inhibitor of matrix metalloproteinases-1 (TIMP-1) in serum and synovial fluid can be used to predict effectively early sports injury and remolding degree of articular cartilage in the canine knee. Twenty adult dogs divided randomly into three groups (eight in the common training group, Training Group; eight in the intensified training group, Intensified Group; and four in the Control Group) were trained daily at different intensities. Magnetic resonance imaging (MRI) examinations were performed regularly (0, 2, 4, 6, 8, 10 weeks) to investigate changes of articular cartilage in the canine knee, while concentrations of COMP, MMP-1, MMP-3, and TIMP-1 in serum and synovial fluid were measured by ELISA assays. All of the dogs were euthanized after training for 10 weeks, and all of the knee joints were taken out to be examined histologically. We could find imaging changes of early sport injury of articular cartilage in the Training Group and Intensified Group by MRI examination after 2 weeks of training; the damage images were most severe in 4-6 weeks, and then lightened gradually. We could not find the difference of cartilage injury and repair degree in MRI images between these two groups at different time points. Elevations of levels of COMP, MMP-1, MMP-3, TIMP-1, and MMP-3/TIMP-1 in serum and synovial fluid were seen during the training period, and their levels changed remarkably at different times. Levels of MMP-1, MMP-3, and MMP-3/TIMP-1 in the Intensified Group were lower than that in the Training Group in general, and levels of COMP were higher, which hinted that the injury trend of articular cartilage in the Intensified Group was lower than that in the Training group, and the repair trend was higher. Furthermore, there were statistically significant associations between biomarker levels in serum and in synovial fluid. Histological examinations in 10 weeks demonstrated that the signs of cartilage damage and repair in canine knee joint in the Training Group and the Intensified Group were obvious, and the Intensified Group could do better than the Training Group in promoting remodeling reconstruction of articular cartilage. High-intensity and repetitive movement may easily induce sports injury, and it is followed with a repair process; intensified training can do better than common training in promoting remodeling reconstruction of articular cartilage. The sensitivity of these biomarkers reflecting articular cartilage pathological changes is better than MRI, and the associated application of several biomarkers to predict the extent of damage and repair, as well as changes of metabolism in articular cartilage, and to monitor change of disease course has very good value for clinical application.

Physical training improves visceral adipose tissue health by remodelling extracellular matrix in rats with estrogen absence: a gene expression analysis.

PubMed

Duarte, Fernanda O; Gomes-Gatto, Camila do Valle; Oishi, Jorge C; Lino, Anderson Diogo de S; Stotzer, Uliana S; Rodrigues, Maria Fernanda C; Gatti da Silva, Guilherme H; Selistre-de-Araújo, Heloisa S

2017-08-01

Adipose tissue development is associated with modifications involving extracellular matrix remodelling, and metalloproteinases play a significant role in this process. Reduced circulating sexual hormones cause impacts on the size, morphology and functions of the adipose tissue, increasing susceptibility to diseases. This study investigated whether exercise training may be an alternative strategy to combat the effects promoted by estrogen decay through modulation in gene expression patterns in the extracellular matrix (ECM) of visceral adipose tissue of ovariectomized rats. Nulliparous rats (n = 40) were randomly distributed into four groups (n = 10/group): sham sedentary (Sh-S), sham resistance training (Sh-Rt), ovariectomized sedentary (Ovx-S) and ovariectomized resistance training (Ovx-Rt). The Sh-S animals did not have any type of training. The body mass and food intake, ECM gene expression, gelatinase MMP-2 activity and adipocyte area were measured. A lack of estrogen promoted an increase in body mass, food intake and the visceral, parametrial and subcutaneous adipocyte areas. The ovariectomy upregulated the expression of MMP-2, MMP-9, TGF-β, CTGF, VEGF-A and MMP-2 activity. On the other hand, resistance training decreased the body mass, food intake and the adipocyte area of the three fat depots analysed; upregulated TIMP-1, VEGF-A and MMP-2 gene expression; downregulated MMP-9, TGF-β and CTGF gene expression; and decreased the MMP-2 activity. We speculate that resistance training on a vertical ladder could play an important role in maintaining and remodelling ECM by modulation in the ECM gene expression and MMP-2 activity, avoiding its destabilization which is impaired by the lack of estrogen. © 2017 The Authors. International Journal of Experimental Pathology © 2017 International Journal of Experimental Pathology.

A virtual surgical training system that simulates cutting of soft tissue using a modified pre-computed elastic model.

PubMed

Toe, Kyaw Kyar; Huang, Weimin; Yang, Tao; Duan, Yuping; Zhou, Jiayin; Su, Yi; Teo, Soo-Kng; Kumar, Selvaraj Senthil; Lim, Calvin Chi-Wan; Chui, Chee Kong; Chang, Stephen

2015-08-01

This work presents a surgical training system that incorporates cutting operation of soft tissue simulated based on a modified pre-computed linear elastic model in the Simulation Open Framework Architecture (SOFA) environment. A precomputed linear elastic model used for the simulation of soft tissue deformation involves computing the compliance matrix a priori based on the topological information of the mesh. While this process may require a few minutes to several hours, based on the number of vertices in the mesh, it needs only to be computed once and allows real-time computation of the subsequent soft tissue deformation. However, as the compliance matrix is based on the initial topology of the mesh, it does not allow any topological changes during simulation, such as cutting or tearing of the mesh. This work proposes a way to modify the pre-computed data by correcting the topological connectivity in the compliance matrix, without re-computing the compliance matrix which is computationally expensive.

School-based smoking prevention: the teacher training process.

PubMed

Tortu, S; Botvin, G J

1989-03-01

Effective in-service teacher training must be regarded as a critical aspect of the implementation of any innovative school-based smoking prevention curriculum. Inadequate training or lack of training often leads to implementation failure, which, in turn, may be interpreted as program failure. To be effective, teacher training must include a presentation of the theory underlying the program, a demonstration of the skills to be learned, an opportunity to practice the new skills being taught, feedback, and coaching for application. Training activities must include a training workshop and ongoing consultation during the teacher's first experience with classroom implementation. Adequate preparation before the beginning of training will help to ensure that the necessary components are combined in a meaningful training sequence.

Engaging and Training Professionals to Implement Family Strengthening Programs: Lessons Learned

ERIC Educational Resources Information Center

Scarrow, Andrea; Fuhrman, Nicholas E.; Futris, Ted G.

2015-01-01

Child welfare professionals (CWPs) who attended the Healthy Relationship and Marriage Education Training delivered by Extension educators in Georgia participated in focus groups 6 months post-training to investigate what elements of the training influenced their implementation of the concepts and their recommendations for future trainings. The…

Education and training for implementation science: our interest in manuscripts describing education and training materials.

PubMed

Straus, Sharon E; Sales, Anne; Wensing, Michel; Michie, Susan; Kent, Bridie; Foy, Robbie

2015-09-28

Alongside the growth in interest in implementation science, there has been a marked increase in training programs, educational courses, degrees, and other offerings in implementation research and practice to meet the demand for this expertise. We believe that the science of capacity building has matured but that we can advance it further by shining light on excellent work in this area and by highlighting gaps for future research. At Implementation Science, we regularly receive manuscripts that describe or evaluate training materials, competencies, and competency development in implementation curricula. We are announcing a renewed interest in manuscripts in this area, with specifications described below.

Matrix management in hospitals: testing theories of matrix structure and development.

PubMed

Burns, L R

1989-09-01

A study of 315 hospitals with matrix management programs was used to test several hypotheses concerning matrix management advanced by earlier theorists. The study verifies that matrix management involves several distinctive elements that can be scaled to form increasingly complex types of lateral coordinative devices. The scalability of these elements is evident only cross-sectionally. The results show that matrix complexity is not an outcome of program age, nor does matrix complexity at the time of implementation appear to influence program survival. Matrix complexity, finally, is not determined by the organization's task diversity and uncertainty. The results suggest several modifications in prevailing theories of matrix organization.

In-Service Training Programmes for Inclusive Education in Serbia--Offer and Implementation

ERIC Educational Resources Information Center

Matovic, Nataša; Spasenovic, Vera

2015-01-01

The initial education and in-service training of all educators, particularly teachers, play a vital role in strengthening competences necessary for implementing inclusive educational practice. This paper analyses offered and implemented inservice training programmes for educators in the field of inclusive education or, more precisely, for working…

An Analysis of the Use of Social Software and Its Impact on Organizational Processes

NASA Astrophysics Data System (ADS)

Pascual-Miguel, Félix; Chaparro-Peláez, Julián; Hernández-García, Ángel

This article proposes a study on the implementation rate of the most relevant 2.0 tools and technologies in Spanish enterprises, and their impact on 12 important aspects of business processes. In order to characterize the grade of implementation and the perceived improvements on the processes two indexes, Implementation Index and Impact Rate, have been created and displayed in a matrix called "2.0 Success Matrix". Data has been analyzed from a survey taken to directors and executives of large companies and small and medium businesses.

An Efficient Scheme for Updating Sparse Cholesky Factors

NASA Technical Reports Server (NTRS)

Raghavan, Padma

2002-01-01

Raghavan had earlier developed the software package DCSPACK which can be used for solving sparse linear systems where the coefficient matrix is symmetric and positive definite (this project was not funded by NASA but by agencies such as NSF). DSCPACK-S is the serial code and DSCPACK-P is a parallel implementation suitable for multiprocessors or networks-of-workstations with message passing using MCI. The main algorithm used is the Cholesky factorization of a sparse symmetric positive positive definite matrix A = LL(T). The code can also compute the factorization A = LDL(T). The complexity of the software arises from several factors relating to the sparsity of the matrix A. A sparse N x N matrix A has typically less that cN nonzeroes where c is a small constant. If the matrix were dense, it would have O(N2) nonzeroes. The most complicated part of such sparse Cholesky factorization relates to fill-in, i.e., zeroes in the original matrix that become nonzeroes in the factor L. An efficient implementation depends to a large extent on complex data structures and on techniques from graph theory to reduce, identify, and manage fill. DSCPACK is based on an efficient multifrontal implementation with fill-managing algorithms and implementation arising from earlier research by Raghavan and others. Sparse Cholesky factorization is typically a four step process: (1) ordering to compute a fill-reducing numbering, (2) symbolic factorization to determine the nonzero structure of L, (3) numeric factorization to compute L, and, (4) triangular solution to solve L(T)x = y and Ly = b. The first two steps are symbolic and are performed using the graph of the matrix. The numeric factorization step is of dominant cost and there are several schemes for improving performance by exploiting the nested and dense structure of groups of columns in the factor. The latter are aimed at better utilization of the cache-memory hierarchy on modem processors to prevent cache-misses and provide execution rates (operations/second) that are close to the peak rates for dense matrix computations. Currently, EPISCOPACY is being used in an application at NASA directed by J. Newman and M. James. We propose the implementation of efficient schemes for updating the LL(T) or LDL(T) factors computed in DSCPACK-S to meet the computational requirements of their project. A brief description is provided in the next section.

Evaluating Training.

ERIC Educational Resources Information Center

Brethower, Karen S.; Rummler, Geary A.

1979-01-01

Presents general systems models (ballistic system, guided system, and adaptive system) and an evaluation matrix to help in examining training evaluation alternatives and in deciding what evaluation is appropriate. Includes some guidelines for conducting evaluation studies using four designs (control group, reversal, multiple baseline, and…

Stress Inoculation through Cognitive and Biofeedback Training

DTIC Science & Technology

2010-12-01

based on Heart Rate Variability ( HRV ) with innovative simulation game-based training tools. The training system described here will be implemented on a...Variability ( HRV ) with innovative simulation game-based training tools. The training system described here will be implemented on a mobile device...and studies (e.g. Fletcher & Tobias, 2006; Thayer, 2009). HRV Coherence Training for Stress Resilience Satisfactory performance in stressful

Training of Evaluators in the Third World: Implementation of the Action Training Model (ATM) in Kenya and Botswana.

ERIC Educational Resources Information Center

Bhola, H. S.

The Action Training Model (ATM) was developed for the delivery of evaluation training to development workers in Kenya and Botswana and implemented under the aegis of the German Foundation for International Development. Training of evaluators is a challenge in any context, but in the Third World environment, evaluation training offers special…

High School CPR/AED Training in Washington State.

PubMed

Salvatierra, Gail G; Palazzo, Steven J; Emery, Allison

2017-05-01

Describe the rates of CPR/AED training in high schools in the state of Washington after passage of legislation mandating CPR/AED training. A web-based survey was sent to administrators at 660 public and private high schools in the state of Washington. The survey was completed by 148 schools (22%); 64% reported providing CPR training and 54% provided AED training. Reported barriers to implementation included instructor availability, cost, and a lack of equipment. Descriptive statistics were used to describe the sample characteristics and implementation rates. Mandates without resources and support do not ensure implementation of CPR/AED training in high schools. Full public health benefits of a CPR mandate will not be realized until barriers to implementation are identified and eliminated through use of available, accessible public health resources. © 2016 Wiley Periodicals, Inc.

Filling potholes on the implementation highway: Evaluating the implementation of Parent-Child Interaction Therapy in Los Angeles County.

PubMed

Timmer, Susan G; Urquiza, Anthony J; Boys, Deanna K; Forte, Lindsay A; Quick-Abdullah, Daphne; Chan, Sam; Gould, William

2016-03-01

In October 2012, first 5 LA funded a unique collaboration between Los Angeles County Department of Mental Health (DMH) and UC Davis PCIT Training Center (UCD PCIT) to train county-contracted agencies to provide Parent-Child Interaction Therapy (PCIT). This $20 million dollar, 5-year grant represented the largest implementation effort of an empirically based treatment to date. The purpose of this paper was to describe the first 2 years of the implementation process of this project, beginning with project start up and pre-implementation phases, and to present agency training and client performance outcomes from our first year of training. Results presented in this evaluation suggest that it is possible to train LA County providers in PCIT, and that PCIT is an effective intervention for DMH-contracted providers in LA County. This evaluation also discusses challenges to successful implementation. Barriers to progress included unanticipated delays building county infrastructure, trainee attrition, and insufficient client referrals. We discuss the results of the current implementation with respect to theory, research, and others' training models, with the aim of evaluating and prioritizing different implementation drivers, noting the ongoing competition between knowing what to do and the need for action. Copyright © 2015 Elsevier Ltd. All rights reserved.

The paradox of managing a project-oriented matrix: establishing coherence within chaos.

PubMed

Greiner, L E; Schein, V E

1981-01-01

Projects that require the flexible coordination of multidisciplinary teams have tended to adopt a matrix structure to accomplish complex tasks. Yet these project-oriented matrix structures themselves require careful coordination if they are to realize the objectives set for them. The authors identify the basic organizational questions that project-oriented matrix organizations must face. They examine the relationship between responsibility and authority; the tradeoffs between economic efficiency and the technical quality of the work produced; and the sensitive issues of managing individualistic, highly trained professionals while also maintaining group cohesiveness.

Participants' evaluation of a group-based organisational assessment tool in Danish general practice: the Maturity Matrix.

PubMed

Buch, Martin Sandberg; Edwards, Adrian; Eriksson, Tina

2009-01-01

The Maturity Matrix is a group-based formative self-evaluation tool aimed at assessing the degree of organisational development in general practice and providing a starting point for local quality improvement. Earlier studies of the Maturity Matrix have shown that participants find the method a useful way of assessing their practice's organisational development. However, little is known about participants' views on the resulting efforts to implement intended changes. To explore users' perspectives on the Maturity Matrix method, the facilitation process, and drivers and barriers for implementation of intended changes. Observation of two facilitated practice meetings, 17 semi-structured interviews with participating general practitioners (GPs) or their staff, and mapping of reasons for continuing or quitting the project. General practices in Denmark Main outcomes: Successful change was associated with: a clearly identified anchor person within the practice, a shared and regular meeting structure, and an external facilitator who provides support and counselling during the implementation process. Failure to implement change was associated with: a high patient-related workload, staff or GP turnover (that seemed to affect small practices more), no clearly identified anchor person or anchor persons who did not do anything, no continuous support from an external facilitator, and no formal commitment to working with agreed changes. Future attempts to improve the impact of the Maturity Matrix, and similar tools for quality improvement, could include: (a) attention to matters of variation caused by practice size, (b) systematic counselling on barriers to implementation and support to structure the change processes, (c) a commitment from participants that goes beyond participation in two-yearly assessments, and (d) an anchor person for each identified goal who takes on the responsibility for improvement in practice.

FPGA implementation of sparse matrix algorithm for information retrieval

NASA Astrophysics Data System (ADS)

Bojanic, Slobodan; Jevtic, Ruzica; Nieto-Taladriz, Octavio

2005-06-01

Information text data retrieval requires a tremendous amount of processing time because of the size of the data and the complexity of information retrieval algorithms. In this paper the solution to this problem is proposed via hardware supported information retrieval algorithms. Reconfigurable computing may adopt frequent hardware modifications through its tailorable hardware and exploits parallelism for a given application through reconfigurable and flexible hardware units. The degree of the parallelism can be tuned for data. In this work we implemented standard BLAS (basic linear algebra subprogram) sparse matrix algorithm named Compressed Sparse Row (CSR) that is showed to be more efficient in terms of storage space requirement and query-processing timing over the other sparse matrix algorithms for information retrieval application. Although inverted index algorithm is treated as the de facto standard for information retrieval for years, an alternative approach to store the index of text collection in a sparse matrix structure gains more attention. This approach performs query processing using sparse matrix-vector multiplication and due to parallelization achieves a substantial efficiency over the sequential inverted index. The parallel implementations of information retrieval kernel are presented in this work targeting the Virtex II Field Programmable Gate Arrays (FPGAs) board from Xilinx. A recent development in scientific applications is the use of FPGA to achieve high performance results. Computational results are compared to implementations on other platforms. The design achieves a high level of parallelism for the overall function while retaining highly optimised hardware within processing unit.

Automated flow quantification in valvular heart disease based on backscattered Doppler power analysis: implementation on matrix-array ultrasound imaging systems.

PubMed

Buck, Thomas; Hwang, Shawn M; Plicht, Björn; Mucci, Ronald A; Hunold, Peter; Erbel, Raimund; Levine, Robert A

2008-06-01

Cardiac ultrasound imaging systems are limited in the noninvasive quantification of valvular regurgitation due to indirect measurements and inaccurate hemodynamic assumptions. We recently demonstrated that the principle of integration of backscattered acoustic Doppler power times velocity can be used for flow quantification in valvular regurgitation directly at the vena contracta of a regurgitant flow jet. We now aimed to accomplish implementation of automated Doppler power flow analysis software on a standard cardiac ultrasound system utilizing novel matrix-array transducer technology with detailed description of system requirements, components and software contributing to the system. This system based on a 3.5 MHz, matrix-array cardiac ultrasound scanner (Sonos 5500, Philips Medical Systems) was validated by means of comprehensive experimental signal generator trials, in vitro flow phantom trials and in vivo testing in 48 patients with mitral regurgitation of different severity and etiology using magnetic resonance imaging (MRI) for reference. All measurements displayed good correlation to the reference values, indicating successful implementation of automated Doppler power flow analysis on a matrix-array ultrasound imaging system. Systematic underestimation of effective regurgitant orifice areas >0.65 cm(2) and volumes >40 ml was found due to currently limited Doppler beam width that could be readily overcome by the use of new generation 2D matrix-array technology. Automated flow quantification in valvular heart disease based on backscattered Doppler power can be fully implemented on board a routinely used matrix-array ultrasound imaging systems. Such automated Doppler power flow analysis of valvular regurgitant flow directly, noninvasively, and user independent overcomes the practical limitations of current techniques.

30 CFR 46.4 - Training plan implementation.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING..., SURFACE CLAY, COLLOIDAL PHOSPHATE, OR SURFACE LIMESTONE MINES. § 46.4 Training plan implementation. (a....9 of this part. (d) Training methods may consist of classroom instruction, instruction at the mine...

30 CFR 46.4 - Training plan implementation.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING..., SURFACE CLAY, COLLOIDAL PHOSPHATE, OR SURFACE LIMESTONE MINES. § 46.4 Training plan implementation. (a....9 of this part. (d) Training methods may consist of classroom instruction, instruction at the mine...

30 CFR 46.4 - Training plan implementation.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING..., SURFACE CLAY, COLLOIDAL PHOSPHATE, OR SURFACE LIMESTONE MINES. § 46.4 Training plan implementation. (a....9 of this part. (d) Training methods may consist of classroom instruction, instruction at the mine...

30 CFR 46.4 - Training plan implementation.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING..., SURFACE CLAY, COLLOIDAL PHOSPHATE, OR SURFACE LIMESTONE MINES. § 46.4 Training plan implementation. (a....9 of this part. (d) Training methods may consist of classroom instruction, instruction at the mine...

30 CFR 46.4 - Training plan implementation.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING..., SURFACE CLAY, COLLOIDAL PHOSPHATE, OR SURFACE LIMESTONE MINES. § 46.4 Training plan implementation. (a....9 of this part. (d) Training methods may consist of classroom instruction, instruction at the mine...

Building Blocks for Peer Success: Lessons Learned from a Train-the-Trainer Program

PubMed Central

Downes, Alicia; Eddens, Shalini; Ruiz, John

2012-01-01

Abstract The National HIV/AIDS Strategy (NHAS) calls for a reduction in health disparities, a reduction in new HIV infections, and improved retention in HIV care and treatment. It acknowledges that HIV-positive peers can play an important role in supporting these aims. However, peer training must be comprehensive enough to equip peers with the knowledge and skills needed for this work. This article describes the development of a national train the trainer (TTT) model for HIV peer educators, and the results of its implementation and replication. A mixed methods evaluation identified who was trained locally as a result of TTT implementation, what aspects of the TTT were most useful to trainers in implementing local training sessions, and areas for improvement. Over the course of 1 year, 91 individuals were trained at 1 of 6 TTT sessions. These individuals then conducted 26 local training sessions for 272 peers. Factors that facilitated local replication training included the teach-back/feedback model, faculty modeling of facilitation styles, financial support for training logistics, and faculty support in designing and implementing the training. The model could be improved by providing instruction on how to incorporate peers as part of the training team. TTT programs that are easily replicable in the community will be an important asset in developing a peer workforce that can help implement the National AIDS Strategy. PMID:22103430

An efficient matrix-matrix multiplication based antisymmetric tensor contraction engine for general order coupled cluster.

PubMed

Hanrath, Michael; Engels-Putzka, Anna

2010-08-14

In this paper, we present an efficient implementation of general tensor contractions, which is part of a new coupled-cluster program. The tensor contractions, used to evaluate the residuals in each coupled-cluster iteration are particularly important for the performance of the program. We developed a generic procedure, which carries out contractions of two tensors irrespective of their explicit structure. It can handle coupled-cluster-type expressions of arbitrary excitation level. To make the contraction efficient without loosing flexibility, we use a three-step procedure. First, the data contained in the tensors are rearranged into matrices, then a matrix-matrix multiplication is performed, and finally the result is backtransformed to a tensor. The current implementation is significantly more efficient than previous ones capable of treating arbitrary high excitations.

Effective implementation of wavelet Galerkin method

NASA Astrophysics Data System (ADS)

Finěk, Václav; Šimunková, Martina

2012-11-01

It was proved by W. Dahmen et al. that an adaptive wavelet scheme is asymptotically optimal for a wide class of elliptic equations. This scheme approximates the solution u by a linear combination of N wavelets and a benchmark for its performance is the best N-term approximation, which is obtained by retaining the N largest wavelet coefficients of the unknown solution. Moreover, the number of arithmetic operations needed to compute the approximate solution is proportional to N. The most time consuming part of this scheme is the approximate matrix-vector multiplication. In this contribution, we will introduce our implementation of wavelet Galerkin method for Poisson equation -Δu = f on hypercube with homogeneous Dirichlet boundary conditions. In our implementation, we identified nonzero elements of stiffness matrix corresponding to the above problem and we perform matrix-vector multiplication only with these nonzero elements.

Quality improvement education incorporated as an integral part of critical care fellows training at the Mayo Clinic.

PubMed

Kashani, Kianoush B; Ramar, Kannan; Farmer, J Christopher; Lim, Kaiser G; Moreno-Franco, Pablo; Morgenthaler, Timothy I; Dankbar, Gene C; Hale, Curt W

2014-10-01

The Accreditation Council for Graduate Medical Education emphasizes quality improvement (QI) education in residency/fellowship training programs. The Mayo Clinic Combined Critical Care Fellowship (CCF) program conducted a pilot QI education program to incorporate QI training as a required curriculum for the 2010-2011 academic year. CCF collaborated with the Mayo Quality Academy to customize and teach the existing Mayo Quality Fellows curriculum to the CCF fellows with the help of two quality coaches over five months starting July 2010. All fellows were to achieve Bronze and Silver certification prior to graduation. Silver required passing four written exams and submitting a health care QI project. Five projects were selected on the basis of the Impact-Effort Prioritization matrix, and DMAIC (Define, Measure, Analyze, Improve, and Control) methodology was used to complete the projects. The primary outcome was to assess learners' satisfaction, knowledge, and skill transfer. All 20 fellows were Bronze certified, and 14 (70%) were Silver certified by the time of graduation. All five QI projects were completed and showed positive impacts on patient safety and care. Surveys showed improved learner satisfaction. Graduates felt the QI training improved their QI skills and employment and career advancement. The QI curriculum had appropriate content and teaching pace and did not significantly displace other important clinical core curriculum topics. The pilot was successfully implemented in the CCF program and now is in the fourth academic year as an established and integral part of the fellowship core curriculum.

75 FR 13774 - Agency Information Collection Activities: Submission for OMB Review; Comment Request, OMB No...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-23

.... 1660-NEW; FEMA Form 089-4, TSGP Investment Justification; FEMA Form 089-27, Fast Track Cost Training...-27, Fast Track Cost Training Matrix. Abstract: The TSGP is an important component of the Department...

Implementation of Evidence-Based HIV Interventions for Gay, Bisexual, and Other Men Who Have Sex with Men.

PubMed

Jeffries, William L; Garrett, Sherese; Phields, Miriam; Olubajo, Babatunde; Lemon, Emily; Valdés-Salgado, Raydel; Collins, Charles B

2017-10-01

The Centers for Disease Control and Prevention provides trainings to support implementation of five evidence-based HIV prevention interventions (EBIs) for men who have sex with men (MSM): d-up: Defend Yourself!; Many Men, Many Voices; Mpowerment; Personalized Cognitive Counseling; and Popular Opinion Leader. We evaluated trainees' implementation of these EBIs and, using multivariable logistic regression, examined factors associated with implementation. Approximately 43% of trainees had implemented the EBIs for which they received training. Implementation was associated with working in community-based organizations (vs. health departments or other settings); acquiring training for Mpowerment or Popular Opinion Leader (vs. Personalized Cognitive Counseling); having ≥3 funding sources (vs. one); and having (vs. not having) sufficient time and necessary EBI resources. Findings suggest that implementation may vary by trainee characteristics, especially those related to employment setting, EBI training, funding, and perceived implementation barriers. Efforts that address these factors may help to improve EBI implementation among trainees.

Dissemination and Implementation Strategies of Lower Extremity Preventive Training Programs in Youth: A Clinical Review.

PubMed

DiStefano, Lindsay J; Frank, Barnett S; Root, Hayley J; Padua, Darin A

Neuromuscular preventive training programs effectively reduce injury and improve performance in youth athletes. However, program effectiveness is directly linked to program compliance, fidelity, and dosage. Preventive training programs are not widely adopted by youth sport coaches. One way to promote widespread dissemination and compliance is to identify implementation strategies that influence program adoption and maintenance. It is unknown how previously published programs have followed the elements of an implementation framework. The objective of this review was to evaluate how elements of the 7 steps of implementation, developed by Padua et al, have been performed in the evidence of lower extremity preventive training programs. A systematic review of the literature from 1996 through September 2016 was conducted using electronic databases. Investigations that documented implementation of a sport team-based neuromuscular preventive training program in youth athletes and measured lower extremity injury rates were included. Clinical review. Level 4. A total of 12 studies met the inclusion criteria and were reviewed. Information regarding the completion of any of the 7 steps within the implementation framework developed by Padua et al was extracted. None of the 12 articles documented completion of all 7 steps. While each study addressed some of the 7 steps, no study addressed maintenance or an exit strategy for youth athletes. Program implementation appears limited in obtaining administrative support, utilizing an interdisciplinary implementation team, and monitoring or promoting fidelity of the intervention. Despite strong evidence supporting the effectiveness of preventive training programs in youth athletes, there is a gap between short-term improvements and long-term implementation strategies. Future interventions should include all 7 steps of the implementation framework to promote transparent dissemination of preventive training programs.

Implementation of a fast digital optical matrix-vector multiplier using a holographic look-up table and residue arithmetic

NASA Technical Reports Server (NTRS)

Habiby, Sarry F.; Collins, Stuart A., Jr.

1987-01-01

The design and implementation of a digital (numerical) optical matrix-vector multiplier are presented. A Hughes liquid crystal light valve, the residue arithmetic representation, and a holographic optical memory are used to construct position coded optical look-up tables. All operations are performed in effectively one light valve response time with a potential for a high information density.

Implementation of a fast digital optical matrix-vector multiplier using a holographic look-up table and residue arithmetic.

PubMed

Habiby, S F; Collins, S A

1987-11-01

The design and implementation of a digital (numerical) optical matrix-vector multiplier are presented. A Hughes liquid crystal light valve, the residue arithmetic representation, and a holographic optical memory are used to construct position coded optical look-up tables. All operations are performed in effectively one light valve response time with a potential for a high information density.

Evaluation of an Efficient Method for Training Staff to Implement Stimulus Preference Assessments

ERIC Educational Resources Information Center

Roscoe, Eileen M.; Fisher, Wayne W.

2008-01-01

We used a brief training procedure that incorporated feedback and role-play practice to train staff members to conduct stimulus preference assessments, and we used group-comparison methods to evaluate the effects of training. Staff members were trained to implement the multiple-stimulus-without-replacement assessment in a single session and the…

Mathematical investigation of one-way transform matrix options.

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

Cooper, James Arlin

2006-01-01

One-way transforms have been used in weapon systems processors since the mid- to late-1970s in order to help recognize insertion of correct pre-arm information while maintaining abnormal-environment safety. Level-One, Level-Two, and Level-Three transforms have been designed. The Level-One and Level-Two transforms have been implemented in weapon systems, and both of these transforms are equivalent to matrix multiplication applied to the inserted information. The Level-Two transform, utilizing a 6 x 6 matrix, provided the basis for the ''System 2'' interface definition for Unique-Signal digital communication between aircraft and attached weapons. The investigation described in this report was carried out to findmore » out if there were other size matrices that would be equivalent to the 6 x 6 Level-Two matrix. One reason for the investigation was to find out whether or not other dimensions were possible, and if so, to derive implementation options. Another important reason was to more fully explore the potential for inadvertent inversion. The results were that additional implementation methods were discovered, but no inversion weaknesses were revealed.« less

Implementation of a digital optical matrix-vector multiplier using a holographic look-up table and residue arithmetic

NASA Technical Reports Server (NTRS)

Habiby, Sarry F.

1987-01-01

The design and implementation of a digital (numerical) optical matrix-vector multiplier are presented. The objective is to demonstrate the operation of an optical processor designed to minimize computation time in performing a practical computing application. This is done by using the large array of processing elements in a Hughes liquid crystal light valve, and relying on the residue arithmetic representation, a holographic optical memory, and position coded optical look-up tables. In the design, all operations are performed in effectively one light valve response time regardless of matrix size. The features of the design allowing fast computation include the residue arithmetic representation, the mapping approach to computation, and the holographic memory. In addition, other features of the work include a practical light valve configuration for efficient polarization control, a model for recording multiple exposures in silver halides with equal reconstruction efficiency, and using light from an optical fiber for a reference beam source in constructing the hologram. The design can be extended to implement larger matrix arrays without increasing computation time.

Response to Intervention: An Investigation of Training, Perceptions, and Fidelity of Implementation

ERIC Educational Resources Information Center

Latacha, Kathryn N.

2013-01-01

The authors investigated the extent to which the amount of training in Response to Intervention (RtI) impacts staff members' perceptions of RtI, how staff members' perceptions of RtI relate to their fidelity of implementation, and to what degree staff members' involvement in training influences their fidelity of implementation. A convenience…

76 FR 53698 - Proposed Collection of Information for an Evaluation of the Implementation of Green Jobs and...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-29

... an Evaluation of the Implementation of Green Jobs and Health Care Training Grants; New Collection... implementation of the Green Jobs and Health Care training grants. This evaluation is sponsored by ETA to... the Green Jobs and Health Care training grants. This evaluation is sponsored by ETA to understand the...

Implementation of hierarchical clustering using k-mer sparse matrix to analyze MERS-CoV genetic relationship

NASA Astrophysics Data System (ADS)

Bustamam, A.; Ulul, E. D.; Hura, H. F. A.; Siswantining, T.

2017-07-01

Hierarchical clustering is one of effective methods in creating a phylogenetic tree based on the distance matrix between DNA (deoxyribonucleic acid) sequences. One of the well-known methods to calculate the distance matrix is k-mer method. Generally, k-mer is more efficient than some distance matrix calculation techniques. The steps of k-mer method are started from creating k-mer sparse matrix, and followed by creating k-mer singular value vectors. The last step is computing the distance amongst vectors. In this paper, we analyze the sequences of MERS-CoV (Middle East Respiratory Syndrome - Coronavirus) DNA by implementing hierarchical clustering using k-mer sparse matrix in order to perform the phylogenetic analysis. Our results show that the ancestor of our MERS-CoV is coming from Egypt. Moreover, we found that the MERS-CoV infection that occurs in one country may not necessarily come from the same country of origin. This suggests that the process of MERS-CoV mutation might not only be influenced by geographical factor.

Implementing Cardiopulmonary Resuscitation Training Programs in High Schools: Iowa's Experience.

PubMed

Hoyme, Derek B; Atkins, Dianne L

2017-02-01

To understand perceived barriers to providing cardiopulmonary resuscitation (CPR) education, implementation processes, and practices in high schools. Iowa has required CPR as a graduation requirement since 2011 as an unfunded mandate. A cross-sectional study was performed through multiple choice surveys sent to Iowa high schools to collect data about school demographics, details of CPR programs, cost, logistics, and barriers to implementation, as well as automated external defibrillator training and availability. Eighty-four schools responded (26%), with the most frequently reported school size of 100-500 students and faculty size of 25-50. When the law took effect, 51% of schools had training programs already in place; at the time of the study, 96% had successfully implemented CPR training. Perceived barriers to implementation were staffing, time commitment, equipment availability, and cost. The average estimated startup cost was <$1000 US, and the yearly maintenance cost was <$500 with funds typically allocated from existing school resources. The facilitator was a school official or volunteer for 81% of schools. Average estimated training time commitment per student was <2 hours. Automated external defibrillators are available in 98% of schools, and 61% include automated external defibrillator training in their curriculum. Despite perceived barriers, school CPR training programs can be implemented with reasonable resource and time allocations. Copyright © 2016 Elsevier Inc. All rights reserved.

Implementing Cardiopulmonary Resuscitation Training Programs in High Schools: Iowa's Experience

PubMed Central

Hoyme, Derek B.; Atkins, Dianne L.

2017-01-01

Objective To understand perceived barriers to providing cardiopulmonary resuscitation (CPR) education, implementation processes, and practices in high schools. Study design Iowa has required CPR as a graduation requirement since 2011 as an unfunded mandate. A cross-sectional study was performed through multiple choice surveys sent to Iowa high schools to collect data about school demographics, details of CPR programs, cost, logistics, and barriers to implementation, as well as automated external defibrillator training and availability. Results Eighty-four schools responded (26%), with the most frequently reported school size of 100-500 students and faculty size of 25-50. When the law took effect, 51% of schools had training programs already in place; at the time of the study, 96% had successfully implemented CPR training. Perceived barriers to implementation were staffing, time commitment, equipment availability, and cost. The average estimated startup cost was <$1000 US, and the yearly maintenance cost was <$500 with funds typically allocated from existing school resources. The facilitator was a school official or volunteer for 81% of schools. Average estimated training time commitment per student was <2 hours. Automated external defibrillators are available in 98% of schools, and 61% include automated external defibrillator training in their curriculum. Conclusions Despite perceived barriers, school CPR training programs can be implemented with reasonable resource and time allocations. PMID:27852456

Design of a Personnel and Training Information System for Educational R&D Personnel. The Domain of R&D Training Resources.

ERIC Educational Resources Information Center

Hood, Paul D.

This document reports an attempt to examine the content and structure of the domain of research and development (R&D) training resources. The project began by locating instructional materials within a larger matrix that classified R&D resources by structure (primary/secondary, oral/written, documentary/non-document) and level of formalization…

10 CFR 850.37 - Training and counseling.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 10 Energy 4 2011-01-01 2011-01-01 false Training and counseling. 850.37 Section 850.37 Energy... Training and counseling. (a) The responsible employer must develop and implement a beryllium training... implement a counseling program to assist beryllium-associated workers who are diagnosed by the SOMD to be...

10 CFR 850.37 - Training and counseling.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 10 Energy 4 2010-01-01 2010-01-01 false Training and counseling. 850.37 Section 850.37 Energy... Training and counseling. (a) The responsible employer must develop and implement a beryllium training... implement a counseling program to assist beryllium-associated workers who are diagnosed by the SOMD to be...

10 CFR 850.37 - Training and counseling.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 10 Energy 4 2013-01-01 2013-01-01 false Training and counseling. 850.37 Section 850.37 Energy... Training and counseling. (a) The responsible employer must develop and implement a beryllium training... implement a counseling program to assist beryllium-associated workers who are diagnosed by the SOMD to be...

10 CFR 850.37 - Training and counseling.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 10 Energy 4 2012-01-01 2012-01-01 false Training and counseling. 850.37 Section 850.37 Energy... Training and counseling. (a) The responsible employer must develop and implement a beryllium training... implement a counseling program to assist beryllium-associated workers who are diagnosed by the SOMD to be...

10 CFR 850.37 - Training and counseling.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 10 Energy 4 2014-01-01 2014-01-01 false Training and counseling. 850.37 Section 850.37 Energy... Training and counseling. (a) The responsible employer must develop and implement a beryllium training... implement a counseling program to assist beryllium-associated workers who are diagnosed by the SOMD to be...

Training Shelter Volunteers to Teach Dog Compliance

ERIC Educational Resources Information Center

Howard, Veronica J.; DiGennaro Reed, Florence D.

2014-01-01

This study examined the degree to which training procedures influenced the integrity of behaviorally based dog training implemented by volunteers of an animal shelter. Volunteers were taught to implement discrete-trial obedience training to teach 2 skills (sit and wait) to dogs. Procedural integrity during the baseline and written instructions…

Training Package Implementation: Innovative and Flexible Approaches.

ERIC Educational Resources Information Center

Meyers, Dave; Blom, Kaaren

The implementation of training packages (TPs) in Australian workplaces was examined through case studies of the use of TPs in nontraditional trade areas by six innovative registered training organizations (RTOs) across Australia. The study focused on the extent to which new and flexible approaches to learning, training delivery, and assessment…

23 CFR 260.407 - Implementation and reimbursement.

Code of Federal Regulations, 2010 CFR

2010-04-01

...) exclusive of travel, subsistence, or salary of trainees. (c) As provided in 23 U.S.C. 321(c), education and... EDUCATION AND TRAINING PROGRAMS State Education and Training Programs § 260.407 Implementation and...-related training and education. The principal recipients of this training shall be employees who are...

Identification and classification of transient pulses observed in magnetometer array data by time-domain principal component analysis filtering

NASA Astrophysics Data System (ADS)

Kappler, Karl N.; Schneider, Daniel D.; MacLean, Laura S.; Bleier, Thomas E.

2017-08-01

A method for identification of pulsations in time series of magnetic field data which are simultaneously present in multiple channels of data at one or more sensor locations is described. Candidate pulsations of interest are first identified in geomagnetic time series by inspection. Time series of these "training events" are represented in matrix form and transpose-multiplied to generate time-domain covariance matrices. The ranked eigenvectors of this matrix are stored as a feature of the pulsation. In the second stage of the algorithm, a sliding window (approximately the width of the training event) is moved across the vector-valued time-series comprising the channels on which the training event was observed. At each window position, the data covariance matrix and associated eigenvectors are calculated. We compare the orientation of the dominant eigenvectors of the training data to those from the windowed data and flag windows where the dominant eigenvectors directions are similar. This was successful in automatically identifying pulses which share polarization and appear to be from the same source process. We apply the method to a case study of continuously sampled (50 Hz) data from six observatories, each equipped with three-component induction coil magnetometers. We examine a 90-day interval of data associated with a cluster of four observatories located within 50 km of Napa, California, together with two remote reference stations-one 100 km to the north of the cluster and the other 350 km south. When the training data contains signals present in the remote reference observatories, we are reliably able to identify and extract global geomagnetic signals such as solar-generated noise. When training data contains pulsations only observed in the cluster of local observatories, we identify several types of non-plane wave signals having similar polarization.

Multi-GPU implementation of a VMAT treatment plan optimization algorithm.

PubMed

Tian, Zhen; Peng, Fei; Folkerts, Michael; Tan, Jun; Jia, Xun; Jiang, Steve B

2015-06-01

Volumetric modulated arc therapy (VMAT) optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing units (GPUs) have been used to speed up the computations. However, GPU's relatively small memory size cannot handle cases with a large dose-deposition coefficient (DDC) matrix in cases of, e.g., those with a large target size, multiple targets, multiple arcs, and/or small beamlet size. The main purpose of this paper is to report an implementation of a column-generation-based VMAT algorithm, previously developed in the authors' group, on a multi-GPU platform to solve the memory limitation problem. While the column-generation-based VMAT algorithm has been previously developed, the GPU implementation details have not been reported. Hence, another purpose is to present detailed techniques employed for GPU implementation. The authors also would like to utilize this particular problem as an example problem to study the feasibility of using a multi-GPU platform to solve large-scale problems in medical physics. The column-generation approach generates VMAT apertures sequentially by solving a pricing problem (PP) and a master problem (MP) iteratively. In the authors' method, the sparse DDC matrix is first stored on a CPU in coordinate list format (COO). On the GPU side, this matrix is split into four submatrices according to beam angles, which are stored on four GPUs in compressed sparse row format. Computation of beamlet price, the first step in PP, is accomplished using multi-GPUs. A fast inter-GPU data transfer scheme is accomplished using peer-to-peer access. The remaining steps of PP and MP problems are implemented on CPU or a single GPU due to their modest problem scale and computational loads. Barzilai and Borwein algorithm with a subspace step scheme is adopted here to solve the MP problem. A head and neck (H&N) cancer case is then used to validate the authors' method. The authors also compare their multi-GPU implementation with three different single GPU implementation strategies, i.e., truncating DDC matrix (S1), repeatedly transferring DDC matrix between CPU and GPU (S2), and porting computations involving DDC matrix to CPU (S3), in terms of both plan quality and computational efficiency. Two more H&N patient cases and three prostate cases are used to demonstrate the advantages of the authors' method. The authors' multi-GPU implementation can finish the optimization process within ∼ 1 min for the H&N patient case. S1 leads to an inferior plan quality although its total time was 10 s shorter than the multi-GPU implementation due to the reduced matrix size. S2 and S3 yield the same plan quality as the multi-GPU implementation but take ∼4 and ∼6 min, respectively. High computational efficiency was consistently achieved for the other five patient cases tested, with VMAT plans of clinically acceptable quality obtained within 23-46 s. Conversely, to obtain clinically comparable or acceptable plans for all six of these VMAT cases that the authors have tested in this paper, the optimization time needed in a commercial TPS system on CPU was found to be in an order of several minutes. The results demonstrate that the multi-GPU implementation of the authors' column-generation-based VMAT optimization can handle the large-scale VMAT optimization problem efficiently without sacrificing plan quality. The authors' study may serve as an example to shed some light on other large-scale medical physics problems that require multi-GPU techniques.

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.

Implementation of Laminate Theory Into Strain Rate Dependent Micromechanics Analysis of Polymer Matrix Composites

NASA Technical Reports Server (NTRS)

Goldberg, Robert K.

2000-01-01

A research program is in progress to develop strain rate dependent deformation and failure models for the analysis of polymer matrix composites subject to impact loads. Previously, strain rate dependent inelastic constitutive equations developed to model the polymer matrix were implemented into a mechanics of materials based micromechanics method. In the current work, the computation of the effective inelastic strain in the micromechanics model was modified to fully incorporate the Poisson effect. The micromechanics equations were also combined with classical laminate theory to enable the analysis of symmetric multilayered laminates subject to in-plane loading. A quasi-incremental trapezoidal integration method was implemented to integrate the constitutive equations within the laminate theory. Verification studies were conducted using an AS4/PEEK composite using a variety of laminate configurations and strain rates. The predicted results compared well with experimentally obtained values.

Risk management of emergency service vehicle crashes in the United States fire service: process, outputs, and recommendations.

PubMed

Bui, David P; Pollack Porter, Keshia; Griffin, Stephanie; French, Dustin D; Jung, Alesia M; Crothers, Stephen; Burgess, Jefferey L

2017-11-17

Emergency service vehicle crashes (ESVCs) are a leading cause of death in the United States fire service. Risk management (RM) is a proactive process for identifying occupational risks and reducing hazards and unwanted events through an iterative process of scoping hazards, risk assessment, and implementing controls. We describe the process, outputs, and lessons learned from the application of a proactive RM process to reduce ESVCs in US fire departments. Three fire departments representative of urban, suburban, and rural geographies, participated in a facilitated RM process delivered through focus groups and stakeholder discussion. Crash reports from department databases were reviewed to characterize the context, circumstances, hazards and risks of ESVCs. Identified risks were ranked using a risk matrix that considered risk likelihood and severity. Department-specific control measures were selected based on group consensus. Interviews, and focus groups were used to assess acceptability and utility of the RM process and perceived facilitators and barriers of implementation. Three to six RM meetings were conducted at each fire department. There were 7.4 crashes per 100 personnel in the urban department and 10.5 per 100 personnel in the suburban department; the rural department experienced zero crashes. All departments identified emergency response, backing, on scene struck by, driver distraction, vehicle/road visibility, and driver training as high or medium concerns. Additional high priority risks varied by department; the urban department prioritized turning and rear ending crashes; the suburban firefighters prioritized inclement weather/road environment and low visibility related crashes; and the rural volunteer fire department prioritized exiting station, vehicle failure, and inclement weather/road environment related incidents. Selected controls included new policies and standard operating procedures to reduce emergency response, cameras to enhance driver visibility while backing, and increased training frequency and enhanced training. The RM process was generally acceptable to department participants and considered useful. All departments reported that the focused and systematic analysis of crashes was particularly helpful. Implementation of controls was a commonly cited challenge. Proactive RM of ESVCs in three US fire departments was positively received and supported the establishment of interventions tailored to each department's needs and priorities.

The Association between Attitude towards the Implementation of Staff Development Training and the Practice of Knowledge Sharing among Lecturers

ERIC Educational Resources Information Center

Kassim, Abd. Latif; Raman, Arumugam; Don, Yahya; Daud, Yaakob; Omar, Mohd Sofian

2015-01-01

This study was aimed to identify the association of teachers' attitude towards the implementation of Staff Development Training with Knowledge Sharing Practices among the lecturers of the Teacher Training Institution (TTI). In addition, this study was also to examine the differences in attitudes towards the implementation of Staff Development…

Implementation of Mindfulness Training for Mental Health Staff: Organizational Context and Stakeholder Perspectives.

PubMed

Byron, Gerard; Ziedonis, Douglas M; McGrath, Caroline; Frazier, Jean A; deTorrijos, Fernando; Fulwiler, Carl

2015-08-01

Occupational stress and burnout adversely impacts mental health care staff well-being and patient outcomes. Mindfulness training reduces staff stress and may improve patient care. However, few studies explore mental health setting implementation. This qualitative study used focus groups to evaluate stakeholders' perceptions of organizational factors affecting implementation of an adapted version of Mindfulness-Based Stress Reduction (MBSR) for staff on adolescent mental health units. Common facilitators included leadership securing buy-in with staff, allocating staff time to participate, and quiet space for training and practice. Other facilitators were past staff knowledge of mindfulness, local champions, and acculturating staff with mindfulness through a non-mandatory training attendance policy. Common barriers were limited staff time to attend training sessions and insufficient training coverage for some staff. Staff also reported improved focus when interacting with adolescents and improved social cohesion on the units. We conclude that a mindfulness-based program for reducing occupational stress can be successfully implemented on adolescent mental health units. Implementation appeared to change the social context of the units, including staff and patient interactions. More broadly, our findings highlight the importance of environmental factors in shaping attitudes, diffusion of innovation, and acculturation of wellness program implementations.

Implementation of Mindfulness Training for Mental Health Staff: Organizational Context and Stakeholder Perspectives

PubMed Central

Byron, Gerard; Ziedonis, Douglas M.; McGrath, Caroline; Frazier, Jean A.; deTorrijos, Fernando

2014-01-01

Occupational stress and burnout adversely impacts mental health care staff well-being and patient outcomes. Mindfulness training reduces staff stress and may improve patient care. However, few studies explore mental health setting implementation. This qualitative study used focus groups to evaluate stakeholders’ perceptions of organizational factors affecting implementation of an adapted version of Mindfulness-Based Stress Reduction (MBSR) for staff on adolescent mental health units. Common facilitators included leadership securing buy-in with staff, allocating staff time to participate, and quiet space for training and practice. Other facilitators were past staff knowledge of mindfulness, local champions, and acculturating staff with mindfulness through a non-mandatory training attendance policy. Common barriers were limited staff time to attend training sessions and insufficient training coverage for some staff. Staff also reported improved focus when interacting with adolescents and improved social cohesion on the units. We conclude that a mindfulness-based program for reducing occupational stress can be successfully implemented on adolescent mental health units. Implementation appeared to change the social context of the units, including staff and patient interactions. More broadly, our findings highlight the importance of environmental factors in shaping attitudes, diffusion of innovation, and acculturation of wellness program implementations. PMID:26500708

Effectiveness of a multi-level implementation strategy for ASD interventions: study protocol for two linked cluster randomized trials.

PubMed

Brookman-Frazee, Lauren; Stahmer, Aubyn C

2018-05-09

The Centers for Disease Control (2018) estimates that 1 in 59 children has autism spectrum disorder, and the annual cost of ASD in the U.S. is estimated to be $236 billion. Evidence-based interventions have been developed and demonstrate effectiveness in improving child outcomes. However, research on generalizable methods to scale up these practices in the multiple service systems caring for these children has been limited and is critical to meet this growing public health need. This project includes two, coordinated studies testing the effectiveness of the Translating Evidence-based Interventions (EBI) for ASD: Multi-Level Implementation Strategy (TEAMS) model. TEAMS focuses on improving implementation leadership, organizational climate, and provider attitudes and motivation in order to improve two key implementation outcomes-provider training completion and intervention fidelity and subsequent child outcomes. The TEAMS Leadership Institute applies implementation leadership strategies and TEAMS Individualized Provider Strategies for training applies motivational interviewing strategies to facilitate provider and organizational behavior change. A cluster randomized implementation/effectiveness Hybrid, type 3, trial with a dismantling design will be used to understand the effectiveness of TEAMS and the mechanisms of change across settings and participants. Study #1 will test the TEAMS model with AIM HI (An Individualized Mental Health Intervention for ASD) in publicly funded mental health services. Study #2 will test TEAMS with CPRT (Classroom Pivotal Response Teaching) in education settings. Thirty-seven mental health programs and 37 school districts will be randomized, stratified by county and study, to one of four groups (Standard Provider Training Only, Standard Provider Training + Leader Training, Enhanced Provider Training, Enhanced Provider Training + Leader Training) to test the effectiveness of combining standard, EBI-specific training with the two TEAMS modules individually and together on multiple implementation outcomes. Implementation outcomes including provider training completion, fidelity (coded by observers blind to group assignment) and child behavior change will be examined for 295 mental health providers, 295 teachers, and 590 children. This implementation intervention has the potential to increase quality of care for ASD in publicly funded settings by improving effectiveness of intervention implementation. The process and modules will be generalizable to multiple service systems, providers, and interventions, providing broad impact in community services. This study is registered with Clinicaltrials.gov ( NCT03380078 ). Registered 20 December 2017, retrospectively registered.

Barriers and facilitators to implementing addiction medicine fellowships: a qualitative study with fellows, medical students, residents and preceptors.

PubMed

Klimas, J; Small, W; Ahamad, K; Cullen, W; Mead, A; Rieb, L; Wood, E; McNeil, R

2017-09-20

Although progress in science has driven advances in addiction medicine, this subject has not been adequately taught to medical trainees and physicians. As a result, there has been poor integration of evidence-based practices in addiction medicine into physician training which has impeded addiction treatment and care. Recently, a number of training initiatives have emerged internationally, including the addiction medicine fellowships in Vancouver, Canada. This study was undertaken to examine barriers and facilitators of implementing addiction medicine fellowships. We interviewed trainees and faculty from clinical and research training programmes in addiction medicine at St Paul's Hospital in Vancouver, Canada (N = 26) about barriers and facilitators to implementation of physician training in addiction medicine. We included medical students, residents, fellows and supervising physicians from a variety of specialities. We analysed interview transcripts thematically by using NVivo software. We identified six domains relating to training implementation: (1) organisational, (2) structural, (3) teacher, (4) learner, (5) patient and (6) community related variables either hindered or fostered addiction medicine education, depending on context. Human resources, variety of rotations, peer support and mentoring fostered implementation of addiction training. Money, time and space limitations hindered implementation. Participant accounts underscored how faculty and staff facilitated the implementation of both the clinical and the research training. Implementation of addiction medicine fellowships appears feasible, although a number of barriers exist. Research into factors within the local/practice environment that shape delivery of education to ensure consistent and quality education scale-up is a priority.

Task sharing in rural Haiti: Qualitative assessment of a brief, structured training with and without apprenticeship supervision for community health workers

PubMed Central

McLean, Kristen E; Kaiser, Bonnie N; Hagaman, Ashley K; Wagenaar, Bradley H; Therosme, Tatiana P; Kohrt, Brandon A

2015-01-01

Despite growing support for supervision after task sharing trainings in humanitarian settings, there is limited research on the experience of trainees in apprenticeship and other supervision approaches. Studying apprenticeships from trainees’ perspectives is crucial to refine supervision and enhance motivation for service implementation. The authors implemented a multi-stage, transcultural adaptation for a pilot task sharing training in Haiti entailing three phases: 1) literature review and qualitative research to adapt a mental health and psychosocial support training; 2) implementation and qualitative process evaluation of a brief, structured group training; and 3) implementation and qualitative evaluation of an apprenticeship training, including a two year follow-up of trainees. Structured group training revealed limited knowledge acquisition, low motivation, time and resource constraints on mastery, and limited incorporation of skills into practice. Adding an apprenticeship component was associated with subjective clinical competency, increased confidence regarding utilising skills, and career advancement. Qualitative findings support the added value of apprenticeship according to trainees. PMID:26190953

Prediction of Metastasis Using Second Harmonic Generation

DTIC Science & Technology

2016-07-01

extracellular matrix through which metastasizing cells must travel. We and others have demonstrated that tumor collagen structure, as measured with the...algorithm using separate training and validation sets, etc. Keywords: metastasis, overtreatment, extracellular matrix , collagen , second harmonic...optical process called second harmonic generation (SHG), influences tumor metastasis. This suggests that collagen structure may provide prognostic

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion.

PubMed

Fierimonte, Roberto; Scardapane, Simone; Uncini, Aurelio; Panella, Massimo

2016-08-26

Distributed learning refers to the problem of inferring a function when the training data are distributed among different nodes. While significant work has been done in the contexts of supervised and unsupervised learning, the intermediate case of Semi-supervised learning in the distributed setting has received less attention. In this paper, we propose an algorithm for this class of problems, by extending the framework of manifold regularization. The main component of the proposed algorithm consists of a fully distributed computation of the adjacency matrix of the training patterns. To this end, we propose a novel algorithm for low-rank distributed matrix completion, based on the framework of diffusion adaptation. Overall, the distributed Semi-supervised algorithm is efficient and scalable, and it can preserve privacy by the inclusion of flexible privacy-preserving mechanisms for similarity computation. The experimental results and comparison on a wide range of standard Semi-supervised benchmarks validate our proposal.

Radiographer-led plan selection for bladder cancer radiotherapy: initiating a training programme and maintaining competency.

PubMed

McNair, H A; Hafeez, S; Taylor, H; Lalondrelle, S; McDonald, F; Hansen, V N; Huddart, R

2015-04-01

The implementation of plan of the day selection for patients receiving radiotherapy (RT) for bladder cancer requires efficient and confident decision-making. This article describes the development of a training programme and maintenance of competency. Cone beam CT (CBCT) images acquired on patients receiving RT for bladder cancer were assessed to establish baseline competency and training needs. A training programme was implemented, and observers were asked to select planning target volumes (PTVs) on two groups of 20 patients' images. After clinical implementation, the PTVs chosen were reviewed offline, and an audit performed after 3 years. A mean of 73% (range, 53-93%) concordance rate was achieved prior to training. Subsequent to training, the mean score decreased to 66% (Round 1), then increased to 76% (Round 2). Six radiographers and two clinicians successfully completed the training programme. An independent observer reviewed the images offline after clinical implementation, and a 91% (126/139) concordance rate was achieved. During the audit, 125 CBCT images from 13 patients were reviewed by a single observer and concordance was 92%. Radiographer-led selection of plan of the day was implemented successfully with the use of a training programme and continual assessment. Quality has been maintained over a period of 3 years. The training programme was successful in achieving and maintaining competency for a plan of the day technique.

Does team training work? Principles for health care.

PubMed

Salas, Eduardo; DiazGranados, Deborah; Weaver, Sallie J; King, Heidi

2008-11-01

Teamwork is integral to a working environment conducive to patient safety and care. Team training is one methodology designed to equip team members with the competencies necessary for optimizing teamwork. There is evidence of team training's effectiveness in highly complex and dynamic work environments, such as aviation and health care. However, most quantitative evaluations of training do not offer any insight into the actual reasons why, how, and when team training is effective. To address this gap in understanding, and to provide guidance for members of the health care community interested in implementing team training programs, this article presents both quantitative results and a specific qualitative review and content analysis of team training implemented in health care. Based on this review, we offer eight evidence-based principles for effective planning, implementation, and evaluation of team training programs specific to health care.

Improving Training in Enterprise Resource Planning Systems Implementation through Communities of Practice

ERIC Educational Resources Information Center

Kerr, Don; Burgess, Kevin J.; Houghton, Luke; Murray, Peter A.

2012-01-01

The Enterprise Resource Planning (ERP) literature suggests that effective training is one of the key reasons for success in ERP implementations. However, limited research has been conducted on what constitutes effective training in an ERP environment. A case study approach was used to explore the effectiveness of traditional training and to…

Training Staff to Implement Brief Stimulus Preference Assessments

ERIC Educational Resources Information Center

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

2014-01-01

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

Off-site training of laparoscopic skills, a scoping review using a thematic analysis.

PubMed

Thinggaard, Ebbe; Kleif, Jakob; Bjerrum, Flemming; Strandbygaard, Jeanett; Gögenur, Ismail; Matthew Ritter, E; Konge, Lars

2016-11-01

The focus of research in simulation-based laparoscopic training has changed from examining whether simulation training works to examining how best to implement it. In laparoscopic skills training, portable and affordable box trainers allow for off-site training. Training outside simulation centers and hospitals can increase access to training, but also poses new challenges to implementation. This review aims to guide implementation of off-site training of laparoscopic skills by critically reviewing the existing literature. An iterative systematic search was carried out in MEDLINE, EMBASE, ERIC, Scopus, and PsychINFO, following a scoping review methodology. The included literature was analyzed iteratively using a thematic analysis approach. The study was reported in accordance with the STructured apprOach to the Reporting In healthcare education of Evidence Synthesis statement. From the search, 22 records were identified and included for analysis. A thematic analysis revealed the themes: access to training, protected training time, distribution of training, goal setting and testing, task design, and unsupervised training. The identified themes were based on learning theories including proficiency-based learning, deliberate practice, and self-regulated learning. Methods of instructional design vary widely in off-site training of laparoscopic skills. Implementation can be facilitated by organizing courses and training curricula following sound education theories such as proficiency-based learning and deliberate practice. Directed self-regulated learning has the potential to improve off-site laparoscopic skills training; however, further studies are needed to demonstrate the effect of this type of instructional design.

Explaining and Controlling for the Psychometric Properties of Computer-Generated Figural Matrix Items

ERIC Educational Resources Information Center

Freund, Philipp Alexander; Hofer, Stefan; Holling, Heinz

2008-01-01

Figural matrix items are a popular task type for assessing general intelligence (Spearman's g). Items of this kind can be constructed rationally, allowing the implementation of computerized generation algorithms. In this study, the influence of different task parameters on the degree of difficulty in matrix items was investigated. A sample of N =…

Protocol for a statewide randomized controlled trial to compare three training models for implementing an evidence-based treatment.

PubMed

Herschell, Amy D; Kolko, David J; Scudder, Ashley T; Taber-Thomas, Sarah; Schaffner, Kristen F; Hiegel, Shelley A; Iyengar, Satish; Chaffin, Mark; Mrozowski, Stanley

2015-09-28

Evidence-based treatments (EBTs) are available for treating childhood behavioral health challenges. Despite EBTs' potential to help children and families, they have primarily remained in university settings. Little empirical evidence exists regarding how specific, commonly used training and quality control models are effective in changing practice, achieving full implementation, and supporting positive client outcomes. This study (NIMH RO1 MH095750; ClinicalTrials.gov Identifier: NCT02543359), which is currently in progress, will evaluate the effectiveness of three training models (Learning Collaborative (LC), Cascading Model (CM), and Distance Education (DE)) to implement a well-established EBT , Parent-Child Interaction Therapy, in real-world, community settings. The three models differ in their costs, skill training, quality control methods, and capacity to address broader implementation challenges. The project is guided by three specific aims: (1) to build knowledge about training outcomes, (2) to build knowledge about implementation outcomes, and (3) to test the differential impact of training clinicians using LC, CM, and DE models on key client outcomes. Fifty (50) licensed psychiatric clinics across Pennsylvania were randomized to one of the three training conditions: (1) LC, (2) CM, or (3) DE. The impact of training on practice skills (clinician level) and implementation/sustainment outcomes (clinic level) are being evaluated at four timepoints coinciding with the training schedule: baseline, 6 (mid), 12 (post), and 24 months (1 year follow-up). Immediately after training begins, parent-child dyads (client level) are recruited from the caseloads of participating clinicians. Client outcomes are being assessed at four timepoints (pre-treatment, 1, 6, and 12 months after the pre-treatment). This proposal builds on an ongoing initiative to implement an EBT statewide. A team of diverse stakeholders including state policy makers, payers, consumers, service providers, and academics from different, but complementary areas (e.g., public health, social work, psychiatry), has been assembled to guide the research plan by incorporating input from multidimensional perspective. ClinicalTrials.gov: NCT02543359.

Wellness-Promoting Practices Through Girl Scouts: A Pragmatic Superiority Randomized Controlled Trial With Additional Dissemination.

PubMed

Cull, Brooke J; Dzewaltowski, David A; Guagliano, Justin M; Rosenkranz, Sara K; Knutson, Cassandra K; Rosenkranz, Richard R

2018-01-01

To evaluate the effectiveness of in-person versus online Girl Scout leader wellness training for implementation of wellness-promoting practices during troop meetings (phase I) and to assess training adoption and current practices across the council (phase II). Pragmatic superiority trial (phase 1) followed by serial cross-sectional study (phase II). Girl Scout troop meetings in Northeast Kansas. Eighteen troop leaders from 3 counties (phase 1); 113 troop leaders from 7 counties (phase II). Phase I: Troop leaders attended 2 wellness training sessions (first in groups, second individually), wherein leaders set wellness-promoting practice implementation goals, self-monitored progress, and received guidance and resources for implementation. Leaders received the intervention in person or online. Phase I: At baseline and postintervention, leaders completed a wellness-promoting practice implementation questionnaire assessing practices during troop meetings (max score = 11). Phase II: Leaders completed a survey about typical troop practices and interest in further training. Phase I: Generalized linear mixed modeling. Phase I: In-person training increased wellness-promoting practice implementation more than online training (in person = 2.1 ± 1.8; online = 0.2 ± 1.2; P = .022). Phase II: Fifty-six percent of leaders adopted the training. For 8 of 11 wellness categories, greater than 50% of leaders employed wellness-promoting practices. In-person training was superior to online training for improvements in wellness-promoting practices. Wellness training was adopted by the majority of leaders across the council.

Positive Matrix Factorization Model for environmental data analyses

EPA Pesticide Factsheets

Positive Matrix Factorization is a receptor model developed by EPA to provide scientific support for current ambient air quality standards and implement those standards by identifying and quantifying the relative contributions of air pollution sources.

Training Early Career Scientists in Flight Instrument Design Through Experiential Learning: NASA Goddard's Planetary Science Winter School.

NASA Technical Reports Server (NTRS)

Bleacher, L. V.; Lakew, B.; Bracken, J.; Brown, T.; Rivera, R.

2017-01-01

The NASA Goddard Planetary Science Winter School (PSWS) is a Goddard Space Flight Center-sponsored training program, managed by Goddard's Solar System Exploration Division (SSED), for Goddard-based postdoctoral fellows and early career planetary scientists. Currently in its third year, the PSWS is an experiential training program for scientists interested in participating on future planetary science instrument teams. Inspired by the NASA Planetary Science Summer School, Goddard's PSWS is unique in that participants learn the flight instrument lifecycle by designing a planetary flight instrument under actual consideration by Goddard for proposal and development. They work alongside the instrument Principal Investigator (PI) and engineers in Goddard's Instrument Design Laboratory (IDL; idc.nasa.gov), to develop a science traceability matrix and design the instrument, culminating in a conceptual design and presentation to the PI, the IDL team and Goddard management. By shadowing and working alongside IDL discipline engineers, participants experience firsthand the science and cost constraints, trade-offs, and teamwork that are required for optimal instrument design. Each PSWS is collaboratively designed with representatives from SSED, IDL, and the instrument PI, to ensure value added for all stakeholders. The pilot PSWS was held in early 2015, with a second implementation in early 2016. Feedback from past participants was used to design the 2017 PSWS, which is underway as of the writing of this abstract.

Effects of Emotional Intelligence and Locus of Control Training on the Psychological Well-Being of Adolescents with Visual Impairments in Nigeria

ERIC Educational Resources Information Center

Eniola, M. S.; Ajobiewe, Abthonia Ifeoma

2013-01-01

This current study, investigated the relative effectiveness of Emotional Intelligence Training (EIT) and Locus of Control Training (LCT) on the psychological well-being of adolescent with visual impairment. The pretest-posttest control group experimental design with a 3x2x2 factorial matrix was used. The participants were 120 adolescents with…

Scenarios for Chemistry Teacher Training and Practice in Romania in 2030: Views of Chemistry Students

ERIC Educational Resources Information Center

Timofte, Roxana S.; Cozma, Danut G.

2017-01-01

Four scenarios regarding Chemistry teacher training and practice in Romania in 2030 were developed by using the 2x2 matrix design for scenario writing. The two driving forces taken in account for the design of scenarios were migration and consumerism. In two of the proposed scenarios teachers are trained to teach socioscientific courses at class.…

An Examination of the Effects of a Video-Based Training Package on Professional Staff's Implementation of a Brief Functional Analysis and Data Analysis

ERIC Educational Resources Information Center

Fleming, Courtney V.

2011-01-01

Minimal research has investigated training packages used to teach professional staff how to implement functional analysis procedures and to interpret data gathered during functional analysis. The current investigation used video-based training with role-play and feedback to teach six professionals in a clinical setting to implement procedures of a…

Building National Capacity for Research Mentor Training: An Evidence-Based Approach to Training the Trainers

PubMed Central

Pfund, Christine; Spencer, Kimberly C.; Asquith, Pamela; House, Stephanie C.; Miller, Sarah; Sorkness, Christine A.

2015-01-01

Research mentor training (RMT), based on the published Entering Mentoring curricula series, has been shown to improve the knowledge and skills of research mentors across career stages, as self-reported by both the mentors engaged in training and their mentees. To promote widespread dissemination and empower others to implement this evidence-based training at their home institutions, we developed an extensive, interactive, multifaceted train-the-trainer workshop. The specific goals of these workshops are to 1) increase facilitator knowledge of an RMT curriculum, 2) increase facilitator confidence in implementing the curriculum, 3) provide a safe environment to practice facilitation of curricular activities, and 4) review implementation strategies and evaluation tools. Data indicate that our approach results in high satisfaction and significant confidence gains among attendees. Of the 195 diverse attendees trained in our workshops since Fall 2010, 44% report implementation at 39 different institutions, collectively training more than 500 mentors. Further, mentors who participated in the RMT sessions led by our trained facilitators report high facilitator effectiveness in guiding discussion. Implications and challenges to building the national capacity needed for improved research mentoring relationships are discussed. PMID:26033872

Architecture studies and system demonstrations for optical parallel processor for AI and NI

NASA Astrophysics Data System (ADS)

Lee, Sing H.

1988-03-01

In solving deterministic AI problems the data search for matching the arguments of a PROLOG expression causes serious bottleneck when implemented sequentially by electronic systems. To overcome this bottleneck we have developed the concepts for an optical expert system based on matrix-algebraic formulation, which will be suitable for parallel optical implementation. The optical AI system based on matrix-algebraic formation will offer distinct advantages for parallel search, adult learning, etc.

Implementation of a Learning Program To Train Adolescent Mothers To Live Independently.

ERIC Educational Resources Information Center

Brown, Kathie

Because of a lack of training, most adolescent mothers are not prepared to live independently. Accordingly, a learning program was designed to improve training for adolescent mothers to better prepare them for living independently. The learning program, implemented in 10 weeks, consisted of eight training sessions geared to the areas of basic life…

V2.2 L2AS Detailed Release Description April 15, 2002

Atmospheric Science Data Center

2013-03-14

... 'optically thick atmosphere' algorithm. Implement new experimental aerosol retrieval algorithm over homogeneous surface types. ... Change values: cloud_mask_decision_matrix(1,1): .true. -> .false. cloud_mask_decision_matrix(2,1): .true. -> .false. ...

A New Pipelined Systolic Array-Based Architecture for Matrix Inversion in FPGAs with Kalman Filter Case Study

NASA Astrophysics Data System (ADS)

Bigdeli, Abbas; Biglari-Abhari, Morteza; Salcic, Zoran; Tin Lai, Yat

2006-12-01

A new pipelined systolic array-based (PSA) architecture for matrix inversion is proposed. The pipelined systolic array (PSA) architecture is suitable for FPGA implementations as it efficiently uses available resources of an FPGA. It is scalable for different matrix size and as such allows employing parameterisation that makes it suitable for customisation for application-specific needs. This new architecture has an advantage of[InlineEquation not available: see fulltext.] processing element complexity, compared to the[InlineEquation not available: see fulltext.] in other systolic array structures, where the size of the input matrix is given by[InlineEquation not available: see fulltext.]. The use of the PSA architecture for Kalman filter as an implementation example, which requires different structures for different number of states, is illustrated. The resulting precision error is analysed and shown to be negligible.

Parallel Preconditioning for CFD Problems on the CM-5

NASA Technical Reports Server (NTRS)

Simon, Horst D.; Kremenetsky, Mark D.; Richardson, John; Lasinski, T. A. (Technical Monitor)

1994-01-01

Up to today, preconditioning methods on massively parallel systems have faced a major difficulty. The most successful preconditioning methods in terms of accelerating the convergence of the iterative solver such as incomplete LU factorizations are notoriously difficult to implement on parallel machines for two reasons: (1) the actual computation of the preconditioner is not very floating-point intensive, but requires a large amount of unstructured communication, and (2) the application of the preconditioning matrix in the iteration phase (i.e. triangular solves) are difficult to parallelize because of the recursive nature of the computation. Here we present a new approach to preconditioning for very large, sparse, unsymmetric, linear systems, which avoids both difficulties. We explicitly compute an approximate inverse to our original matrix. This new preconditioning matrix can be applied most efficiently for iterative methods on massively parallel machines, since the preconditioning phase involves only a matrix-vector multiplication, with possibly a dense matrix. Furthermore the actual computation of the preconditioning matrix has natural parallelism. For a problem of size n, the preconditioning matrix can be computed by solving n independent small least squares problems. The algorithm and its implementation on the Connection Machine CM-5 are discussed in detail and supported by extensive timings obtained from real problem data.

An Efficient Local Correlation Matrix Decomposition Approach for the Localization Implementation of Ensemble-Based Assimilation Methods

NASA Astrophysics Data System (ADS)

Zhang, Hongqin; Tian, Xiangjun

2018-04-01

Ensemble-based data assimilation methods often use the so-called localization scheme to improve the representation of the ensemble background error covariance (Be). Extensive research has been undertaken to reduce the computational cost of these methods by using the localized ensemble samples to localize Be by means of a direct decomposition of the local correlation matrix C. However, the computational costs of the direct decomposition of the local correlation matrix C are still extremely high due to its high dimension. In this paper, we propose an efficient local correlation matrix decomposition approach based on the concept of alternating directions. This approach is intended to avoid direct decomposition of the correlation matrix. Instead, we first decompose the correlation matrix into 1-D correlation matrices in the three coordinate directions, then construct their empirical orthogonal function decomposition at low resolution. This procedure is followed by the 1-D spline interpolation process to transform the above decompositions to the high-resolution grid. Finally, an efficient correlation matrix decomposition is achieved by computing the very similar Kronecker product. We conducted a series of comparison experiments to illustrate the validity and accuracy of the proposed local correlation matrix decomposition approach. The effectiveness of the proposed correlation matrix decomposition approach and its efficient localization implementation of the nonlinear least-squares four-dimensional variational assimilation are further demonstrated by several groups of numerical experiments based on the Advanced Research Weather Research and Forecasting model.

Implementing the European Quality Assurance in Vocational Education and Training (EQAVET) at National Level: Some Insights from the PEN Leonardo Project

ERIC Educational Resources Information Center

Gatt, Suzanne; Faurschou, Kim

2016-01-01

EQAVET, the quality assurance tool in vocational and educational training, was developed in response to the need for a supply of a trained workforce for labour market needs. Implementation of EQAVET at national level, however, remains a challenge. The research reported here focused on the implementation of QA processes by VET providers in 4…

A sustainable model for training teachers to use pivotal response training.

PubMed

Suhrheinrich, Jessica

2015-08-01

The increase in the rate of autism diagnoses has created a growing demand for teachers who are trained to use effective interventions. The train-the-trainer model, which involves training supervisors to train others, may be ideal for providing cost-effective training and ongoing support to teachers. Although research supports interventions, such as pivotal response training, as evidence-based, dissemination to school environments has been problematic. This study assessed the benefits of using the train-the-trainer model to disseminate pivotal response training to school settings. A multiple-baseline design was conducted across three training groups, each consisting of one school staff member (trainer), three special education teachers, and six students. Trainers conducted the teacher-training workshop with high adherence to training protocol and met mastery criteria in their ability to implement pivotal response training, assess implementation of pivotal response training, and provide feedback to teachers. Six of the nine teachers mastered all components of pivotal response training. The remaining three teachers implemented 89% of the pivotal response training components correctly. The majority of trainers and teachers maintained their abilities at follow-up. These results support the use of the train-the-trainer model as an effective method of disseminating evidence-based practices in school settings. © The Author(s) 2014.

Paediatric burns in LMICs: An evaluation of the barriers and facilitators faced by staff involved in burns education training programmes in Blantyre, Malawi.

PubMed

Harris, Lyndsey; Fioratou, Evridiki; Broadis, Emily

2016-08-01

A burn prevention and education programme - the Reduction of Burn and Scald Mortality and Morbidity in Children in Malawi project - was implemented from January 2010-2013 in Queen Elizabeth Central Hospital, Malawi. This study aimed to investigate the barriers and facilitators of implementing education-training programmes. Semi-structured interviews with 14 Scottish and Malawian staff delivering and receiving teaching at training education programmes were conducted. All interviews were recorded, transcribed and analysed using thematic analysis. Overarching barriers and facilitators were similar for both sets of staff. Scottish participants recognised that limited experience working in LMICs narrowed the challenges they anticipated. Time was a significant barrier to implementation of training courses for both sets of participants. Lack of hands on practical experience was the greatest barrier to implementing the skills learnt for Malawian staff. Sustainability was a significant facilitator to successful implementation of training programmes. Encouraging involvement of Malawian staff in the co-ordination and delivery of teaching enabled those who attend courses to teach others. A recognition of and response to the barriers and facilitators associated with introducing paediatric burn education training programmes can contribute to the development of sustainable programme implementation in Malawi and other LMICs. Copyright © 2015 Elsevier Ltd and ISBI. All rights reserved.

78 FR 34423 - Aviation Rulemaking Advisory Committee (ARAC) Airman Testing Standards and Training Working Group...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-07

... private pilot certificate and the instrument rating. These documents are available for public review... Airman Testing Standards and Training (2) Draft PRIVATE PILOT--AIRPLANE Airman Certification Standards; (3) Draft Change Tracking Matrix referenced to FAA-S-8081-14B, Private Pilot Practical Test Standards...

Interprofessional and interdisciplinary simulation-based training leads to safe sedation procedures in the emergency department.

PubMed

Sauter, Thomas C; Hautz, Wolf E; Hostettler, Simone; Brodmann-Maeder, Monika; Martinolli, Luca; Lehmann, Beat; Exadaktylos, Aristomenis K; Haider, Dominik G

2016-08-02

Sedation is a procedure required for many interventions in the Emergency department (ED) such as reductions, surgical procedures or cardioversions. However, especially under emergency conditions with high risk patients and rapidly changing interdisciplinary and interprofessional teams, the procedure caries important risks. It is thus vital but difficult to implement a standard operating procedure for sedation procedures in any ED. Reports on both, implementation strategies as well as their success are currently lacking. This study describes the development, implementation and clinical evaluation of an interprofessional and interdisciplinary simulation-based sedation training concept. All physicians and nurses with specialised training in emergency medicine at the Berne University Department of Emergency Medicine participated in a mandatory interdisciplinary and interprofessional simulation-based sedation training. The curriculum consisted of an individual self-learning module, an airway skill training course, three simulation-based team training cases, and a final practical learning course in the operating theatre. Before and after each training session, self-efficacy, awareness of emergency procedures, knowledge of sedation medication and crisis resource management were assessed with a questionnaire. Changes in these measures were compared via paired tests, separately for groups formed based on experience and profession. To assess the clinical effect of training, we collected patient and team satisfaction as well as duration and complications for all sedations in the ED within the year after implementation. We further compared time to beginning of procedure, time for duration of procedure and time until discharge after implementation with the one year period before the implementation. Cohen's d was calculated as effect size for all statistically significant tests. Fifty staff members (26 nurses and 24 physicians) participated in the training. In all subgroups, there is a significant increase in self-efficacy and knowledge with high effect size (d z  = 1.8). The learning is independent of profession and experience level. In the clinical evaluation after implementation, we found no major complications among the sedations performed. Time to procedure significantly improved after the introduction of the training (d = 0.88). Learning is independent of previous working experience and equally effective in raising the self-efficacy and knowledge in all professional groups. Clinical outcome evaluation confirms the concepts safety and feasibility. An interprofessional and interdisciplinary simulation-based sedation training is an efficient way to implement a conscious sedation concept in an ED.

SU-E-T-395: Multi-GPU-Based VMAT Treatment Plan Optimization Using a Column-Generation Approach

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

Tian, Z; Shi, F; Jia, X

Purpose: GPU has been employed to speed up VMAT optimizations from hours to minutes. However, its limited memory capacity makes it difficult to handle cases with a huge dose-deposition-coefficient (DDC) matrix, e.g. those with a large target size, multiple arcs, small beam angle intervals and/or small beamlet size. We propose multi-GPU-based VMAT optimization to solve this memory issue to make GPU-based VMAT more practical for clinical use. Methods: Our column-generation-based method generates apertures sequentially by iteratively searching for an optimal feasible aperture (referred as pricing problem, PP) and optimizing aperture intensities (referred as master problem, MP). The PP requires accessmore » to the large DDC matrix, which is implemented on a multi-GPU system. Each GPU stores a DDC sub-matrix corresponding to one fraction of beam angles and is only responsible for calculation related to those angles. Broadcast and parallel reduction schemes are adopted for inter-GPU data transfer. MP is a relatively small-scale problem and is implemented on one GPU. One headand- neck cancer case was used for test. Three different strategies for VMAT optimization on single GPU were also implemented for comparison: (S1) truncating DDC matrix to ignore its small value entries for optimization; (S2) transferring DDC matrix part by part to GPU during optimizations whenever needed; (S3) moving DDC matrix related calculation onto CPU. Results: Our multi-GPU-based implementation reaches a good plan within 1 minute. Although S1 was 10 seconds faster than our method, the obtained plan quality is worse. Both S2 and S3 handle the full DDC matrix and hence yield the same plan as in our method. However, the computation time is longer, namely 4 minutes and 30 minutes, respectively. Conclusion: Our multi-GPU-based VMAT optimization can effectively solve the limited memory issue with good plan quality and high efficiency, making GPUbased ultra-fast VMAT planning practical for real clinical use.« less

Evaluating the Training of Chinese-Speaking Community Health Workers to Implement a Small-Group Intervention Promoting Mammography.

PubMed

Gu, Jiayan; Maxwell, Annette E; Ma, Grace X; Qian, Xiaokun; Tan, Yin; Hsieh, Hsing-Chuan; Tu, Shin-Ping; Wang, Judy Huei-Yu

2018-04-14

This study evaluated the training of Chinese American Community Health Workers (CHWs) to implement a small-group mammography video and discussion program as part of a randomized controlled trial that had the goal to increase adherence to mammography screening guidelines among Chinese American women. A total of 26 Chinese American CHWs in the metropolitan Washington DC area, Southern California, and New York City participated in a 4-h training workshop and completed surveys before and after the workshop to assess their knowledge regarding mammography screening guidelines and human subjects protection rules. The results showed significantly increased knowledge of mammography screening guidelines and human subjects protection rules (both p < 0.01) after the training. CHWs were also trained to lead a discussion of the video, including screening benefits and misconceptions. Forty-three audio recordings of discussions led by 13 active CHWs were transcribed and qualitatively analyzed to assess implementation fidelity. Ten out of 13 active CHWs fully addressed about 3 of the 5 benefit items, and 11 out of 13 CHWs fully addressed more than 5 of the 9 misconception items. Chinese CHWs can be trained to implement research-based intervention programs. However, a one-time training resulted in moderate adherence to the discussion protocol. Ongoing or repeat trainings throughout the intervention period may be needed to enhance implementation fidelity.

Performance analysis of distributed symmetric sparse matrix vector multiplication algorithm for multi-core architectures

DOE PAGES

Oryspayev, Dossay; Aktulga, Hasan Metin; Sosonkina, Masha; ...

2015-07-14

In this article, sparse matrix vector multiply (SpMVM) is an important kernel that frequently arises in high performance computing applications. Due to its low arithmetic intensity, several approaches have been proposed in literature to improve its scalability and efficiency in large scale computations. In this paper, our target systems are high end multi-core architectures and we use messaging passing interface + open multiprocessing hybrid programming model for parallelism. We analyze the performance of recently proposed implementation of the distributed symmetric SpMVM, originally developed for large sparse symmetric matrices arising in ab initio nuclear structure calculations. We also study important featuresmore » of this implementation and compare with previously reported implementations that do not exploit underlying symmetry. Our SpMVM implementations leverage the hybrid paradigm to efficiently overlap expensive communications with computations. Our main comparison criterion is the "CPU core hours" metric, which is the main measure of resource usage on supercomputers. We analyze the effects of topology-aware mapping heuristic using simplified network load model. Furthermore, we have tested the different SpMVM implementations on two large clusters with 3D Torus and Dragonfly topology. Our results show that the distributed SpMVM implementation that exploits matrix symmetry and hides communication yields the best value for the "CPU core hours" metric and significantly reduces data movement overheads.« less

SU-D-206-02: Evaluation of Partial Storage of the System Matrix for Cone Beam Computed Tomography Using a GPU Platform

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

Matenine, D; Cote, G; Mascolo-Fortin, J

2016-06-15

Purpose: Iterative reconstruction algorithms in computed tomography (CT) require a fast method for computing the intersections between the photons’ trajectories and the object, also called ray-tracing or system matrix computation. This work evaluates different ways to store the system matrix, aiming to reconstruct dense image grids in reasonable time. Methods: We propose an optimized implementation of the Siddon’s algorithm using graphics processing units (GPUs) with a novel data storage scheme. The algorithm computes a part of the system matrix on demand, typically, for one projection angle. The proposed method was enhanced with accelerating options: storage of larger subsets of themore » system matrix, systematic reuse of data via geometric symmetries, an arithmetic-rich parallel code and code configuration via machine learning. It was tested on geometries mimicking a cone beam CT acquisition of a human head. To realistically assess the execution time, the ray-tracing routines were integrated into a regularized Poisson-based reconstruction algorithm. The proposed scheme was also compared to a different approach, where the system matrix is fully pre-computed and loaded at reconstruction time. Results: Fast ray-tracing of realistic acquisition geometries, which often lack spatial symmetry properties, was enabled via the proposed method. Ray-tracing interleaved with projection and backprojection operations required significant additional time. In most cases, ray-tracing was shown to use about 66 % of the total reconstruction time. In absolute terms, tracing times varied from 3.6 s to 7.5 min, depending on the problem size. The presence of geometrical symmetries allowed for non-negligible ray-tracing and reconstruction time reduction. Arithmetic-rich parallel code and machine learning permitted a modest reconstruction time reduction, in the order of 1 %. Conclusion: Partial system matrix storage permitted the reconstruction of higher 3D image grid sizes and larger projection datasets at the cost of additional time, when compared to the fully pre-computed approach. This work was supported in part by the Fonds de recherche du Quebec - Nature et technologies (FRQ-NT). The authors acknowledge partial support by the CREATE Medical Physics Research Training Network grant of the Natural Sciences and Engineering Research Council of Canada (Grant No. 432290).« less

Tailoring a training based on the Mental Health Gap Action Programme (mhGAP) Intervention Guide (IG) to Tunisia: process and relevant adaptations.

PubMed

Spagnolo, Jessica; Champagne, François; Leduc, Nicole; Melki, Wahid; Guesmi, Imen; Bram, Nesrine; Guisset, Ann-Lise; Piat, Myra; Laporta, Marc; Charfi, Fatma

2018-01-01

In order to make mental health services more accessible, the Tunisian Ministry of Health, in collaboration with the School of Public Health at the University of Montreal, the World Health Organization office in Tunisia and the Montreal World Health Organization-Pan American Health Organization Collaborating Center for Research and Training in Mental Health, implemented a training programme based on the Mental Health Gap Action Programme (mhGAP) Intervention Guide (IG) (version 1.0) , developed by the World Health Organization. This article describes the phase prior to the implementation of the training, which was offered to general practitioners working in primary care settings in the Greater Tunis area of Tunisia. The phase prior to implementation consisted of adapting the standard mhGAP-IG (version 1.0) to the local primary healthcare context. This adaptation process, an essential step before piloting the training, involved discussions with stakeholder groups, as well as field observations. Through the adaptation process, we were able to make changes to the standard training format and material. In addition, the process helped uncover systemic barriers to effective mental health care. Targeting these barriers in addition to implementing a training programme may help reduce the mental health treatment gap, and promote implementation that is successful and sustainable.

Dialectical Behavior Therapy Training and Desired Resources for Implementation: Results From a National Program Evaluation in the Veterans Health Administration.

PubMed

Landes, Sara J; Matthieu, Monica M; Smith, Brandy N; Trent, Lindsay R; Rodriguez, Allison L; Kemp, Janet; Thompson, Caitlin

2016-08-01

Little is known about nonresearch training experiences of providers who implement evidence-based psychotherapies for suicidal behaviors among veterans. This national program evaluation identified the history of training, training needs, and desired resources of clinicians who work with at-risk veterans in a national health care system. This sequential mixed methods national program evaluation used a post-only survey design to obtain needs assessment data from clinical sites (N = 59) within Veterans Health Administration (VHA) facilities that implemented dialectical behavior therapy (DBT). Data were also collected on resources preferred to support ongoing use of DBT. While only 33% of clinical sites within VHA facilities reported that staff attended a formal DBT intensive training workshop, nearly 97% of participating sites reported having staff who completed self-study using DBT manuals. Mobile apps for therapists and clients and templates for documentation in the electronic health records to support measurement-based care were desired clinical resources. Results indicate that less-intensive training models can aid staff in implementing DBT in real-world health care settings. While more training is requested, a number of VHA facilities have successfully implemented DBT into the continuum of care for veterans at risk for suicide. Reprint & Copyright © 2016 Association of Military Surgeons of the U.S.

An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user.

PubMed

Simon, Nadine; Käthner, Ivo; Ruf, Carolin A; Pasqualotto, Emanuele; Kübler, Andrea; Halder, Sebastian

2014-01-01

Brain-computer interfaces (BCIs) can serve as muscle independent communication aids. Persons, who are unable to control their eye muscles (e.g., in the completely locked-in state) or have severe visual impairments for other reasons, need BCI systems that do not rely on the visual modality. For this reason, BCIs that employ auditory stimuli were suggested. In this study, a multiclass BCI spelling system was implemented that uses animal voices with directional cues to code rows and columns of a letter matrix. To reveal possible training effects with the system, 11 healthy participants performed spelling tasks on 2 consecutive days. In a second step, the system was tested by a participant with amyotrophic lateral sclerosis (ALS) in two sessions. In the first session, healthy participants spelled with an average accuracy of 76% (3.29 bits/min) that increased to 90% (4.23 bits/min) on the second day. Spelling accuracy by the participant with ALS was 20% in the first and 47% in the second session. The results indicate a strong training effect for both the healthy participants and the participant with ALS. While healthy participants reached high accuracies in the first session and second session, accuracies for the participant with ALS were not sufficient for satisfactory communication in both sessions. More training sessions might be needed to improve spelling accuracies. The study demonstrated the feasibility of the auditory BCI with healthy users and stresses the importance of training with auditory multiclass BCIs, especially for potential end-users of BCI with disease.

The VOICES/VOCES success story: effective strategies for training, technical assistance and community-based organization implementation.

PubMed

Hamdallah, Myriam; Vargo, Sue; Herrera, Jennifer

2006-08-01

The Centers for Disease Control and Prevention's Diffusion of Effective Behavioral Interventions (DEBI) project successfully disseminated VOICES/VOCES, a brief video-based HIV risk reduction intervention targeting African American and Latino heterosexual men and women at risk for HIV infection. Elements of the dissemination strategy included a comprehensive and user-friendly intervention kit, comprising (a) an implementationmanual and othermaterials necessary for conducting the intervention (b) a Training of Facilitators (TOF) curriculum used to teach agency staff how to implement the EBI in their setting, (c) a network of expert trainers who attend a training institute to become adept at using the TOF curriculum to train facilitators, (d) a comprehensive training coordination center to plan and deliver TOF trainings, (e) proactive technical assistance to trainers, and (f) post-TOF technical assistance for local implementers. This article reports on those strategies and a local CBO's successful participation in DEBI, resulting implementation of VOICES/VOCES, with unique approaches to adaptation and tailoring.

What are the barriers to implementation of cardiopulmonary resuscitation training in secondary schools? A qualitative study

PubMed Central

Malta Hansen, Carolina; Rod, Morten Hulvej; Folke, Fredrik; Torp-Pedersen, Christian; Tjørnhøj-Thomsen, Tine

2016-01-01

Objective Cardiopulmonary resuscitation (CPR) training in schools is recommended to increase bystander CPR and thereby survival of out-of-hospital cardiac arrest, but despite mandating legislation, low rates of implementation have been observed in several countries, including Denmark. The purpose of the study was to explore barriers to implementation of CPR training in Danish secondary schools. Design A qualitative study based on individual interviews and focus groups with school leadership and teachers. Thematic analysis was used to identify regular patterns of meaning both within and across the interviews. Setting 8 secondary schools in Denmark. Schools were selected using strategic sampling to reach maximum variation, including schools with/without recent experience in CPR training of students, public/private schools and schools near to and far from hospitals. Participants The study population comprised 25 participants, 9 school leadership members and 16 teachers. Results School leadership and teachers considered it important for implementation and sustainability of CPR training that teachers conduct CPR training of students. However, they preferred external instructors to train students, unless teachers acquired the CPR skills which they considered were needed. They considered CPR training to differ substantially from other teaching subjects because it is a matter of life and death, and they therefore believed extraordinary skills were required for conducting the training. This was mainly rooted in their insecurity about their own CPR skills. CPR training kits seemed to lower expectations of skill requirements to conduct CPR training, but only among those who were familiar with such kits. Conclusions To facilitate implementation of CPR training in schools, it is necessary to have clear guidelines regarding the required proficiency level to train students in CPR, to provide teachers with these skills, and to underscore that extensive skills are not required to provide CPR. Further, it is important to familiarise teachers with CPR training kits. PMID:27113236

Concerns within the Job Training Community over Labor's Ability to Implement the Job Training Partnership Act.

ERIC Educational Resources Information Center

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

A study examined the role of the U.S. Department of Labor in implementing the Job Training Partnership Act (JTPA). Staff from the General Accounting Office (GAO) interviewed officials from the Employment and Training Administration (ETA) and Office of Inspector General (OIG); ETA regional officials in four cities; state JTPA officials in five…

Exploring Education Culture by Employing Hofstede?s Cultural Dimensions to Evaluate the Effectiveness of the Current ERP Training Approach in Thailand

ERIC Educational Resources Information Center

Chayakonvikom, Monta; Fuangvut, Parin; Cannell, Stephen

2016-01-01

ERP training is a critical success factor in ERP implementation. The current ERP training was largely ineffective and caused user resistance and ERP implementation failure. The objective of this paper is to investigate whether the current ERP training approach can accommodate the cultural learning behaviors of end-users. Hofstede's cultural…

Evaluating the Implementation of a Training Program for Improving Quality Service: An Action Research Study

ERIC Educational Resources Information Center

Pierre, Ketly Dieudonne

2014-01-01

There is a need to implement a comprehensive training program to build employees' knowledge, skills, and attitudes in order to improve quality service at ABC Restaurant because of a surge in customer complaints. The purpose of this study was to develop a training program that included an employee handbook as a training tool, a handbook designed…

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

NASA Astrophysics Data System (ADS)

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

2018-06-01

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

Interactive software tool to comprehend the calculation of optimal sequence alignments with dynamic programming.

PubMed

Ibarra, Ignacio L; Melo, Francisco

2010-07-01

Dynamic programming (DP) is a general optimization strategy that is successfully used across various disciplines of science. In bioinformatics, it is widely applied in calculating the optimal alignment between pairs of protein or DNA sequences. These alignments form the basis of new, verifiable biological hypothesis. Despite its importance, there are no interactive tools available for training and education on understanding the DP algorithm. Here, we introduce an interactive computer application with a graphical interface, for the purpose of educating students about DP. The program displays the DP scoring matrix and the resulting optimal alignment(s), while allowing the user to modify key parameters such as the values in the similarity matrix, the sequence alignment algorithm version and the gap opening/extension penalties. We hope that this software will be useful to teachers and students of bioinformatics courses, as well as researchers who implement the DP algorithm for diverse applications. The software is freely available at: http:/melolab.org/sat. The software is written in the Java computer language, thus it runs on all major platforms and operating systems including Windows, Mac OS X and LINUX. All inquiries or comments about this software should be directed to Francisco Melo at fmelo@bio.puc.cl.

The development and implementation of the structured training programme for caregivers of inpatients after stroke (TRACS) intervention: the London Stroke Carers Training Course.

PubMed

Forster, Anne; Dickerson, Josie; Melbourn, Anne; Steadman, Jayne; Wittink, Margreet; Young, John; Kalra, Lalit; Farrin, Amanda

2015-03-01

To describe the content and delivery of the adapted London Stroke Carers Training Course intervention evaluated in the Training Caregivers after Stroke (TRACS) trial. The London Stroke Carers Training Course is a structured training programme for caregivers of inpatients who are likely to return home after their stroke. The course was delivered by members of the multidisciplinary team while the patient was in the stroke unit with one recommended 'follow through' session after discharge home. The intervention consists of 14 training components (six mandatory) that were identified as important knowledge/skills that caregivers would need to be able to care for the stroke patient after discharge home. Following national training days, the London Stroke Carers Training Course was disseminated to intervention sites by the cascade method of implementation. The intervention was adapted for implementation across a range of stroke units. Training days were well attended (median 2.5 and 2.0 attendees per centre for the first and second days, respectively) and the feedback positive, demonstrating 'face validity' for the intervention. However cascading of this training to other members of the multidisciplinary team was not consistent, with 7/18 centres recording no cascade training. The adapted London Stroke Carers Training Course provided a training programme that could be delivered in a standardised, structured way in a variety of stroke unit settings throughout the UK. The intervention was well received by stroke unit staff, however, the cascade method of implementation was not as effective as we would have wished. © The Author(s) 2014.

Training for an MIS Implementation: What Does it Really Cost?

PubMed Central

Jacobs, Patt

1984-01-01

Implementation of MIS systems in a hospital environment are complex, problematic, long-term endeavors. St. Vincent Hospital and Medical Center (SVHMC) completed the implementation of its base system MIS five years after the original contract was signed. The cost of that implementation in terms of time and dollars for one aspect only, training is reported.

Reframing implementation as an organisational behaviour problem.

PubMed

Clay-Williams, Robyn; Braithwaite, Jeffrey

2015-01-01

The purpose of this paper is to report on a process evaluation of a randomised controlled trial (RCT) intervention study that tested the effectiveness of classroom- and simulation-based crew resource management courses, alone and in combination, and identifies organisational barriers and facilitators to implementation of team training programmes in healthcare. The RCT design consisted of a before and after study with a team training intervention. Quantitative data were gathered on utility and affective reactions to training, and on teamwork knowledge, attitudes, and behaviours of the learners. A sample of participants was interviewed at the conclusion of the study. Interview responses were analysed, alongside qualitative elements of the classroom course critique, to search for evidence, context, and facilitation clues to the implementation process. The RCT method provided scientifically robust data that supported the benefits of classroom training. Qualitative data identified a number of facilitators to implementation of team training, and shed light on some of the ways that learning was diffused throughout the organisation. Barriers to successful implementation were also identified, including hospital time and resource constraints and poor organisational communication. Quantitative randomised methods have intermittently been used to evaluate team training interventions in healthcare. Despite two decades of team training trials, however, the authors do not know as well as the authors would like what goes on inside the "black box" of such RCTs. While results are usually centred on outcomes, this study also provides insight into the context and mechanisms associated with those outcomes and identifies barriers and facilitators to successful intervention implementation.

Implementation of laparoscopic virtual-reality simulation training in gynaecology: a mixed-methods design.

PubMed

Burden, Christy; Appleyard, Tracy-Louise; Angouri, Jo; Draycott, Timothy J; McDermott, Leanne; Fox, Robert

2013-10-01

Virtual-reality (VR) training has been demonstrated to improve laparoscopic surgical skills in the operating theatre. The incorporation of laparoscopic VR simulation into surgical training in gynaecology remains a significant educational challenge. We undertook a pilot study to assess the feasibility of the implementation of a laparoscopic VR simulation programme into a single unit. An observational study with qualitative analysis of semi-structured group interviews. Trainees in gynaecology (n=9) were scheduled to undertake a pre-validated structured training programme on a laparoscopic VR simulator (LapSim(®)) over six months. The main outcome measure was the trainees' progress through the training modules in six months. Trainees' perceptions of the feasibility and barriers to the implementation of laparoscopic VR training were assessed in focus groups after training. Sixty-six percent of participants completed six of ten modules. Overall, feedback from the focus groups was positive; trainees felt training improved their dexterity, hand-eye co-ordination and confidence in theatre. Negative aspects included lack of haptic feedback, and facility for laparoscopic port placement training. Time restriction emerged as the main barrier to training. Despite positive perceptions of training, no trainee completed more than two-thirds of the modules of a self-directed laparoscopic VR training programme. Suggested improvements to the integration of future laparoscopic VR training include an additional theoretical component with a fuller understanding of benefits of VR training, and scheduled supervision. Ultimately, the success of a laparoscopic VR simulation training programme might only be improved if it is a mandatory component of the curriculum, together with dedicated time for training. Future multi-centred implementation studies of validated laparoscopic VR curricula are required. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

PREVIEW Behavior Modification Intervention Toolbox (PREMIT): A Study Protocol for a Psychological Element of a Multicenter Project.

PubMed

Kahlert, Daniela; Unyi-Reicherz, Annelie; Stratton, Gareth; Meinert Larsen, Thomas; Fogelholm, Mikael; Raben, Anne; Schlicht, Wolfgang

2016-01-01

Losing excess body weight and preventing weight regain by changing lifestyle is a challenging but promising task to prevent the incidence of type-2 diabetes. To be successful, it is necessary to use evidence-based and theory-driven interventions, which also contribute to the science of behavior modification by providing a deeper understanding of successful intervention components. To develop a physical activity and dietary behavior modification intervention toolbox (PREMIT) that fulfills current requirements of being theory-driven and evidence-based, comprehensively described and feasible to evaluate. PREMIT is part of an intervention trial, which aims to prevent the onset of type-2 diabetes in pre-diabetics in eight clinical centers across the world by guiding them in changing their physical activity and dietary behavior through a group counseling approach. The program development took five progressive steps, in line with the Public Health Action Cycle: (1) Summing-up the intervention goal(s), target group and the setting, (2) uncovering the generative psychological mechanisms, (3) identifying behavior change techniques and tools, (4) preparing for evaluation and (5) implementing the intervention and assuring quality. PREMIT is based on a trans-theoretical approach referring to valid behavior modification theories, models and approaches. A major "product" of PREMIT is a matrix, constructed for use by onsite-instructors. The matrix includes objectives, tasks and activities ordered by periods. PREMIT is constructed to help instructors guide participants' behavior change. To ensure high fidelity and adherence of program-implementation across the eight intervention centers standardized operational procedures were defined and "train-the-trainer" workshops were held. In summary PREMIT is a theory-driven, evidence-based program carefully developed to change physical activity and dietary behaviors in pre-diabetic people.

PREVIEW Behavior Modification Intervention Toolbox (PREMIT): A Study Protocol for a Psychological Element of a Multicenter Project

PubMed Central

Kahlert, Daniela; Unyi-Reicherz, Annelie; Stratton, Gareth; Meinert Larsen, Thomas; Fogelholm, Mikael; Raben, Anne; Schlicht, Wolfgang

2016-01-01

Background: Losing excess body weight and preventing weight regain by changing lifestyle is a challenging but promising task to prevent the incidence of type-2 diabetes. To be successful, it is necessary to use evidence-based and theory-driven interventions, which also contribute to the science of behavior modification by providing a deeper understanding of successful intervention components. Objective: To develop a physical activity and dietary behavior modification intervention toolbox (PREMIT) that fulfills current requirements of being theory-driven and evidence-based, comprehensively described and feasible to evaluate. PREMIT is part of an intervention trial, which aims to prevent the onset of type-2 diabetes in pre-diabetics in eight clinical centers across the world by guiding them in changing their physical activity and dietary behavior through a group counseling approach. Methods: The program development took five progressive steps, in line with the Public Health Action Cycle: (1) Summing-up the intervention goal(s), target group and the setting, (2) uncovering the generative psychological mechanisms, (3) identifying behavior change techniques and tools, (4) preparing for evaluation and (5) implementing the intervention and assuring quality. Results: PREMIT is based on a trans-theoretical approach referring to valid behavior modification theories, models and approaches. A major “product” of PREMIT is a matrix, constructed for use by onsite-instructors. The matrix includes objectives, tasks and activities ordered by periods. PREMIT is constructed to help instructors guide participants' behavior change. To ensure high fidelity and adherence of program-implementation across the eight intervention centers standardized operational procedures were defined and “train-the-trainer” workshops were held. In summary PREMIT is a theory-driven, evidence-based program carefully developed to change physical activity and dietary behaviors in pre-diabetic people. PMID:27559319

LS-DYNA Implementation of Polymer Matrix Composite Model Under High Strain Rate Impact

NASA Technical Reports Server (NTRS)

Zheng, Xia-Hua; Goldberg, Robert K.; Binienda, Wieslaw K.; Roberts, Gary D.

2003-01-01

A recently developed constitutive model is implemented into LS-DYNA as a user defined material model (UMAT) to characterize the nonlinear strain rate dependent behavior of polymers. By utilizing this model within a micromechanics technique based on a laminate analogy, an algorithm to analyze the strain rate dependent, nonlinear deformation of a fiber reinforced polymer matrix composite is then developed as a UMAT to simulate the response of these composites under high strain rate impact. The models are designed for shell elements in order to ensure computational efficiency. Experimental and numerical stress-strain curves are compared for two representative polymers and a representative polymer matrix composite, with the analytical model predicting the experimental response reasonably well.

Mathematical foundations of the GraphBLAS

DOE PAGES

Kepner, Jeremy; Aaltonen, Peter; Bader, David; ...

2016-12-01

The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix-based graph algorithms to the broadest possible audience. Mathematically, the GraphBLAS defines a core set of matrix-based graph operations that can be used to implement a wide class of graph algorithms in a wide range of programming environments. This study provides an introduction to the mathematics of the GraphBLAS. Graphs represent connections between vertices with edges. Matrices can represent a wide range of graphs using adjacency matrices or incidence matrices. Adjacency matrices are often easier to analyze while incidence matrices are often better for representing data. Fortunately, themore » two are easily connected by matrix multiplication. A key feature of matrix mathematics is that a very small number of matrix operations can be used to manipulate a very wide range of graphs. This composability of a small number of operations is the foundation of the GraphBLAS. A standard such as the GraphBLAS can only be effective if it has low performance overhead. Finally, performance measurements of prototype GraphBLAS implementations indicate that the overhead is low.« less

Unifying time evolution and optimization with matrix product states

NASA Astrophysics Data System (ADS)

Haegeman, Jutho; Lubich, Christian; Oseledets, Ivan; Vandereycken, Bart; Verstraete, Frank

2016-10-01

We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states. In particular, we introduce a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions. Rather than a Suzuki-Trotter splitting of the Hamiltonian, which is the idea behind the adaptive time-dependent density matrix renormalization group method or time-evolving block decimation, our method is based on splitting the projector onto the matrix product state tangent space as it appears in the Dirac-Frenkel time-dependent variational principle. We discuss how the resulting algorithm resembles the density matrix renormalization group (DMRG) algorithm for finding ground states so closely that it can be implemented by changing just a few lines of code and it inherits the same stability and efficiency. In particular, our method is compatible with any Hamiltonian for which ground-state DMRG can be implemented efficiently. In fact, DMRG is obtained as a special case of our scheme for imaginary time evolution with infinite time step.

Impact of the Garrett Lee Smith youth suicide prevention program on suicide mortality.

PubMed

Walrath, Christine; Garraza, Lucas Godoy; Reid, Hailey; Goldston, David B; McKeon, Richard

2015-05-01

We examined whether a reduction in youth suicide mortality occurred between 2007 and 2010 that could reasonably be attributed to Garrett Lee Smith (GLS) program efforts. We compared youth mortality rates across time between counties that implemented GLS-funded gatekeeper training sessions (the most frequently implemented suicide prevention strategy among grantees) and a set of matched counties in which no GLS-funded training occurred. A rich set of background characteristics, including preintervention mortality rates, was accounted for with a combination of propensity score-based techniques. We also analyzed closely related outcomes that we did not expect to be affected by GLS as control outcomes. Counties implementing GLS training had significantly lower suicide rates among the population aged 10 to 24 years the year after GLS training than similar counties that did not implement GLS training (1.33 fewer deaths per 100 000; P = .02). Simultaneously, we found no significant difference in terms of adult suicide mortality rates or nonsuicide youth mortality the year after the implementation. These results support the existence of an important reduction in youth suicide rates resulting from the implementation of GLS suicide prevention programming.

New Factorization Techniques and Fast Serial and Parrallel Algorithms for Operational Space Control of Robot Manipulators

NASA Technical Reports Server (NTRS)

Fijany, Amir; Djouani, Karim; Fried, George; Pontnau, Jean

1997-01-01

In this paper a new factorization technique for computation of inverse of mass matrix, and the operational space mass matrix, as arising in implementation of the operational space control scheme, is presented.

Dissemination and implementation of suicide prevention training in one Scottish region

PubMed Central

Gask, Linda; Lever-Green, Gillian; Hays, Rebecca

2008-01-01

Background As part of a national co-ordinated and multifaceted response to the excess suicide rate, the Choose Life initiative, the Highland Choose Life Group launched an ambitious programme of training for National Health Service (NHS), Council and voluntary organisation staff. In this study of the dissemination and implementation of STORM (Skills-based Training On Risk Management), we set out to explore not only the outcomes of training, but key factors involved in the processes of diffusion, dissemination and implementation of the educational intervention. Methods Participants attending STORM training in Highland Region provided by 12 trained facilitators during the period March 2004 to February 2005 were recruited. Quantitative data collection from participants took place at three time points; immediately before training, immediately post-training and six months after training. Semi-structured telephone interviews were carried out with the training facilitators and with a sample of course participants 6 months after they had been trained. We have utilized the conceptual model described by Greenhalgh and colleagues in a Framework analysis of the data, for considering the determinants of diffusion, dissemination and implementation of interventions in health service delivery and organization. Results Some 203 individuals completed a series of questionnaire measures immediately pre (time 1) and immediately post (time 2) training and there were significant improvements in attitudes and confidence of participants. Key factors in the diffusion, dissemination and implementation process were the presence of a champion or local opinion leader who supported and directed the intervention, local adaptation of the materials, commissioning of a group of facilitators who were provided with financial and administrative support, dedicated time to provide the training and regular peer-support. Conclusion Features that contributed to the success of STORM were related to both the context (the multi-dimensional support provided from the host organisation and the favourable policy environment) and the intervention (openness to local adaptation, clinical relevance and utility), and the dynamic interaction between context and the intervention. PMID:19055769

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

PubMed

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

2017-01-01

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

Artificial intelligence systems based on texture descriptors for vaccine development.

PubMed

Nanni, Loris; Brahnam, Sheryl; Lumini, Alessandra

2011-02-01

The aim of this work is to analyze and compare several feature extraction methods for peptide classification that are based on the calculation of texture descriptors starting from a matrix representation of the peptide. This texture-based representation of the peptide is then used to train a support vector machine classifier. In our experiments, the best results are obtained using local binary patterns variants and the discrete cosine transform with selected coefficients. These results are better than those previously reported that employed texture descriptors for peptide representation. In addition, we perform experiments that combine standard approaches based on amino acid sequence. The experimental section reports several tests performed on a vaccine dataset for the prediction of peptides that bind human leukocyte antigens and on a human immunodeficiency virus (HIV-1). Experimental results confirm the usefulness of our novel descriptors. The matlab implementation of our approaches is available at http://bias.csr.unibo.it/nanni/TexturePeptide.zip.

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

PubMed

Goldberg, I; Paice, E

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

Design and Implementation of Training to Improve Management of Pediatric Overweight

ERIC Educational Resources Information Center

Beno, Luke; Hinchman, Josephine; Kibbe, Debra; Trowbridge, Frederick

2005-01-01

Introduction: Clinicians report a low proficiency in treating overweight children and using behavioral management strategies. This paper documents the design and implementation of a training program to improve clinicians' skills in the assessment and behavioral management of pediatric overweight. Methods: Two one-hour CME trainings were designed…

Identification of Fatty Acids, Phospholipids, and Their Oxidation Products Using Matrix-Assisted Laser Desorption Ionization Mass Spectrometry and Electrospray Ionization Mass Spectrometry

ERIC Educational Resources Information Center

Harmon, Christopher W.; Mang, Stephen A.; Greaves, John; Finlayson-Pitts, Barbara J.

2010-01-01

Electrospray ionization mass spectrometry (ESI-MS) and matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) have found increasing application in the analysis of biological samples. Using these techniques to solve problems in analytical chemistry should be an essential component of the training of undergraduate chemists. We…

Spectral Regularization Algorithms for Learning Large Incomplete Matrices.

PubMed

Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert

2010-03-01

We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we provide a simple and very efficient convex algorithm for minimizing the reconstruction error subject to a bound on the nuclear norm. Our algorithm Soft-Impute iteratively replaces the missing elements with those obtained from a soft-thresholded SVD. With warm starts this allows us to efficiently compute an entire regularization path of solutions on a grid of values of the regularization parameter. The computationally intensive part of our algorithm is in computing a low-rank SVD of a dense matrix. Exploiting the problem structure, we show that the task can be performed with a complexity linear in the matrix dimensions. Our semidefinite-programming algorithm is readily scalable to large matrices: for example it can obtain a rank-80 approximation of a 10(6) × 10(6) incomplete matrix with 10(5) observed entries in 2.5 hours, and can fit a rank 40 approximation to the full Netflix training set in 6.6 hours. Our methods show very good performance both in training and test error when compared to other competitive state-of-the art techniques.

Spectral Regularization Algorithms for Learning Large Incomplete Matrices

PubMed Central

Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert

2010-01-01

We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we provide a simple and very efficient convex algorithm for minimizing the reconstruction error subject to a bound on the nuclear norm. Our algorithm Soft-Impute iteratively replaces the missing elements with those obtained from a soft-thresholded SVD. With warm starts this allows us to efficiently compute an entire regularization path of solutions on a grid of values of the regularization parameter. The computationally intensive part of our algorithm is in computing a low-rank SVD of a dense matrix. Exploiting the problem structure, we show that the task can be performed with a complexity linear in the matrix dimensions. Our semidefinite-programming algorithm is readily scalable to large matrices: for example it can obtain a rank-80 approximation of a 106 × 106 incomplete matrix with 105 observed entries in 2.5 hours, and can fit a rank 40 approximation to the full Netflix training set in 6.6 hours. Our methods show very good performance both in training and test error when compared to other competitive state-of-the art techniques. PMID:21552465

Building capacity in implementation science research training at the University of Nairobi.

PubMed

Osanjo, George O; Oyugi, Julius O; Kibwage, Isaac O; Mwanda, Walter O; Ngugi, Elizabeth N; Otieno, Fredrick C; Ndege, Wycliffe; Child, Mara; Farquhar, Carey; Penner, Jeremy; Talib, Zohray; Kiarie, James N

2016-03-08

Health care systems in sub-Saharan Africa, and globally, grapple with the problem of closing the gap between evidence-based health interventions and actual practice in health service settings. It is essential for health care systems, especially in low-resource settings, to increase capacity to implement evidence-based practices, by training professionals in implementation science. With support from the Medical Education Partnership Initiative, the University of Nairobi has developed a training program to build local capacity for implementation science. This paper describes how the University of Nairobi leveraged resources from the Medical Education Partnership to develop an institutional program that provides training and mentoring in implementation science, builds relationships between researchers and implementers, and identifies local research priorities for implementation science. The curriculum content includes core material in implementation science theory, methods, and experiences. The program adopts a team mentoring and supervision approach, in which fellows are matched with mentors at the University of Nairobi and partnering institutions: University of Washington, Seattle, and University of Maryland, Baltimore. A survey of program participants showed a high degree satisfaction with most aspects of the program, including the content, duration, and attachment sites. A key strength of the fellowship program is the partnership approach, which leverages innovative use of information technology to offer diverse perspectives, and a team model for mentorship and supervision. As health care systems and training institutions seek new approaches to increase capacity in implementation science, the University of Nairobi Implementation Science Fellowship program can be a model for health educators and administrators who wish to develop their program and curricula.

Implementing an Integrated Commitment Management System at the Savannah River Site Tank Farms

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

Blanchard, A.

1999-06-16

Recently, the Savannah River Site Tank Farms have been transitioning from pre-1990 Authorization Basis requirements to new 5480.22/.23 requirements. Implementation of the new Authorization Basis has resulted in more detailed requirements, a completely new set of implementing procedures, and the expectation of even more disciplined operations. Key to the success of this implementation has been the development of an Integrated Commitment Management System (ICMS) by Westinghouse Safety Management Solutions. The ICMS has two elements: the Authorization Commitment Matrix (ACM), and a Procedure Consistency Review methodology. The Authorization Commitment Matrix is a linking database, which ties requirements and implementing documents together.more » The associated Procedure Consistency Review process ensures that the procedures to be credited in the ACM do in fact correctly and completely meet all intended commitments. This Integrated Commitment Management System helps Westinghouse Safety Management Solutions and the facility operations and engineering organizations take ownership in the implementation of the requirements that have been developed.« less

A Systematic Review of Parent-Implemented Functional Communication Training for Children With ASD.

PubMed

Gerow, Stephanie; Hagan-Burke, Shanna; Rispoli, Mandy; Gregori, Emily; Mason, Rose; Ninci, Jennifer

2018-05-01

Supporting parents in reducing challenging behavior of children with autism spectrum disorder (ASD) requires the identification of effective, feasible, and sustainable interventions. Functional communication training (FCT) is one of the most well-established interventions in the behavioral literature and is used increasingly by parents. However, there is a need for additional evaluation of the literature related to parent-implemented FCT. In the present review, we identified 26 peer-reviewed studies on parent-implemented FCT. We conducted systematic descriptive and social validity analyses to summarize the extant literature. Across studies, parent-implemented FCT was effective in reducing child challenging behavior, and in some cases, intervention outcomes maintained and generalized to novel settings and implementers. However, few studies reported fidelity data on parent implementation of FCT, and data regarding sustained use of FCT by parents were limited. Results of the social validity analysis indicate that while FCT is often implemented by natural change agents in typical settings, parent training is often provided by professionals not typically accessible to parents. These findings suggest that future research is warranted in the areas of parent training and long-term sustainability of parent-implemented FCT.

A Measure of Maintenance Training/Qualification Readiness and Its Impact on Billet Life Cycle Coast.

DTIC Science & Technology

1983-09-01

MAINTENANCE READINESS ESTIMATION---------------- 24 A. AVIATION TRAINING SUPPORT SYSTEM ---- 25 B. MAINTENANCE MATRIX UTILIZATION-------------- 27 C...nonexistent follow-on training programs. CRef. 13 The operation and maintenance o systems account for a major portion of system life cycle cost. Studies of... systems annual support costs show that manpower consistently consuwme over half of the funds appropriated for operation and maintenance of the system £Ref

Bridging the Chasm: Challenges, Opportunities, and Resources for Integrating a Dissemination and Implementation Science Curriculum into Medical Education.

PubMed

Ginossar, Tamar; Heckman, Carolyn J; Cragun, Deborah; Quintiliani, Lisa M; Proctor, Enola K; Chambers, David A; Skolarus, Ted; Brownson, Ross C

2018-01-01

Physicians are charged with implementing evidence-based medicine, yet few are trained in the science of Dissemination and Implementation (D&I). In view of the potential of evidence-based training in D&I to help close the gap between research and practice, the goal of this review is to examine the importance of D&I training in medical education, describe challenges to implementing such training, and provide strategies and resources for building D&I capacity. We conducted (1) a systematic review to identify US-based D&I training efforts and (2) a critical review of additional literature to inform our evaluation of the challenges and opportunities of integrating D&I training in medical education. Out of 269 unique articles reviewed, 11 described US-based D&I training. Although vibrant and diverse training opportunities exist, their capacity is limited, and they are not designed to meet physicians' needs. Synthesis of relevant literature using a critical review approach identified challenges inherent to changing medical education, as well as challenges related to D&I science. Finally, selected strategies and resources are available for facilitating incorporation of D&I training into medical education and overcoming existing challenges. Integrating D&I training in the medical education curriculum, and particularly in residency and fellowship training, holds promise for bridging the chasm between scientific discoveries and improved patient care and outcomes. However, unique challenges should be addressed, including the need for greater evidence.

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

NASA Astrophysics Data System (ADS)

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

2012-04-01

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

Development of a diabetes care management curriculum in a family practice residency program.

PubMed

Nuovo, Jim; Balsbaugh, Thomas; Barton, Sue; Davidson, Ellen; Fox-Garcia, Jane; Gandolfo, Angela; Levich, Bridget; Seibles, Joann

2004-01-01

Improving the quality of care for patients with chronic illness has become a high priority. Implementing training programs in disease management (DM) so the next generation of physicians can manage chronic illness more effectively is challenging. Residency training programs have no specific mandate to implement DM training. Additional barriers at the training facility include: 1) lack of a population-based perspective for service delivery; 2) weak support for self-management of illness; 3) incomplete implementation due to physician resistance or inertia; and 4) few incentives to change practices and behaviors. In order to overcome these barriers, training programs must take the initiative to implement DM training that addresses each of these issues. We report the implementation of a chronic illness management curriculum based on the Improving Chronic Illness Care (ICIC) Model. Features of this process included both patient care and learner objectives. These were: development of a multidisciplinary diabetes DM team; development of a patient registry; development of diabetes teaching clinics in the family practice center (nutrition, general management classes, and one-on-one teaching); development of a group visit model; and training the residents in the elements of the ICIC Model, ie, the community, the health system, self-management support, delivery system design, decision support, and clinical information systems. Barriers to implementing these curricular changes were: the development of a patient registry; buy-in from faculty, residents, clinic leadership, staff, and patients for the chronic care model; the ability to bill for services and maintain clinical productivity; and support from the health system key stakeholders for sustainability. Unique features of each training site will dictate differences in emphasis and structure; however, the core principles of the ICIC Model in enhancing self-management may be generalized to all sites.

Factors related to leader implementation of a nationally disseminated community-based exercise program: a cross-sectional study

PubMed Central

Seguin, Rebecca A; Palombo, Ruth; Economos, Christina D; Hyatt, Raymond; Kuder, Julia; Nelson, Miriam E

2008-01-01

Background The benefits of community-based health programs are widely recognized. However, research examining factors related to community leaders' characteristics and roles in implementation is limited. Methods The purpose of this cross-sectional study was to use a social ecological framework of variables to explore and describe the relationships between socioeconomic, personal/behavioral, programmatic, leadership, and community-level social and demographic characteristics as they relate to the implementation of an evidence-based strength training program by community leaders. Eight-hundred fifty-four trained program leaders in 43 states were invited to participate in either an online or mail survey. Corresponding community-level characteristics were also collected. Programmatic details were obtained from those who implemented. Four-hundred eighty-seven program leaders responded to the survey (response rate = 57%), 78% online and 22% by mail. Results Of the 487 respondents, 270 implemented the program (55%). One or more factors from each category – professional, socioeconomic, personal/behavioral, and leadership characteristics – were significantly different between implementers and non-implementers, determined by chi square or student's t-tests as appropriate. Implementers reported higher levels of strength training participation, current and lifetime physical activity, perceived support, and leadership competence (all p < 0.05). Logistic regression analysis revealed a positive association between implementation and fitness credentials/certification (p = 0.003), program-specific self-efficacy (p = 0.002), and support-focused leadership (p = 0.006), and a negative association between implementation and educational attainment (p = 0.002). Conclusion Among this sample of trained leaders, several factors within the professional, socioeconomic, personal/behavioral, and leadership categories were related to whether they implemented a community-based exercise program. It may benefit future community-based physical activity program disseminations to consider these factors when selecting and training leaders. PMID:19055821

TH-EF-207A-03: Photon Counting Implementation Challenges Using An Electron Multiplying Charged-Coupled Device Based Micro-CT System

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

Podgorsak, A; Bednarek, D; Rudin, S

2016-06-15

Purpose: To successfully implement and operate a photon counting scheme on an electron multiplying charged-coupled device (EMCCD) based micro-CT system. Methods: We built an EMCCD based micro-CT system and implemented a photon counting scheme. EMCCD detectors use avalanche transfer registries to multiply the input signal far above the readout noise floor. Due to intrinsic differences in the pixel array, using a global threshold for photon counting is not optimal. To address this shortcoming, we generated a threshold array based on sixty dark fields (no x-ray exposure). We calculated an average matrix and a variance matrix of the dark field sequence.more » The average matrix was used for the offset correction while the variance matrix was used to set individual pixel thresholds for the photon counting scheme. Three hundred photon counting frames were added for each projection and 360 projections were acquired for each object. The system was used to scan various objects followed by reconstruction using an FDK algorithm. Results: Examination of the projection images and reconstructed slices of the objects indicated clear interior detail free of beam hardening artifacts. This suggests successful implementation of the photon counting scheme on our EMCCD based micro-CT system. Conclusion: This work indicates that it is possible to implement and operate a photon counting scheme on an EMCCD based micro-CT system, suggesting that these devices might be able to operate at very low x-ray exposures in a photon counting mode. Such devices could have future implications in clinical CT protocols. NIH Grant R01EB002873; Toshiba Medical Systems Corp.« less

Design of training programs for a positive youth development program: Project P.A.T.H.S. in Hong Kong.

PubMed

Shek, Daniel T L; Chak, Yammy L Y

2010-01-01

To facilitate the implementation of the Secondary 1 to Secondary 3 program of the Project P.A.T.H.S. in Hong Kong, systematic training programs are designed for the potential program implementers. The rationales, objectives and design of the Secondary 1 to Secondary 3 training programs are outlined in this paper. The training programs cover theories of adolescent development, positive youth development, background and curricula of the Project P.A.T.H.S., factors affecting program implementation quality and evaluation of the project. Besides introducing the curriculum units, the training programs also focus on nature of learning and related theories (particularly experiential learning), teaching methods and instructional techniques, motivating students, and classroom management.

Digital filtering implementations for the detection of broad spectral features by direct analysis of passive Fourier transform infrared interferograms.

PubMed

Tarumi, Toshiyasu; Small, Gary W; Combs, Roger J; Kroutil, Robert T

2004-04-01

Finite impulse response (FIR) filters and finite impulse response matrix (FIRM) filters are evaluated for use in the detection of volatile organic compounds with wide spectral bands by direct analysis of interferogram data obtained from passive Fourier transform infrared (FT-IR) measurements. Short segments of filtered interferogram points are classified by support vector machines (SVMs) to implement the automated detection of heated plumes of the target analyte, ethanol. The interferograms employed in this study were acquired with a downward-looking passive FT-IR spectrometer mounted on a fixed-wing aircraft. Classifiers are trained with data collected on the ground and subsequently used for the airborne detection. The success of the automated detection depends on the effective removal of background contributions from the interferogram segments. Removing the background signature is complicated when the analyte spectral bands are broad because there is significant overlap between the interferogram representations of the analyte and background. Methods to implement the FIR and FIRM filters while excluding background contributions are explored in this work. When properly optimized, both filtering procedures provide satisfactory classification results for the airborne data. Missed detection rates of 8% or smaller for ethanol and false positive rates of at most 0.8% are realized. The optimization of filter design parameters, the starting interferogram point for filtering, and the length of the interferogram segments used in the pattern recognition is discussed.

Systematically evaluating the impact of diagnosis-related groups (DRGs) on health care delivery: a matrix of ethical implications.

PubMed

Fourie, Carina; Biller-Andorno, Nikola; Wild, Verina

2014-04-01

Swiss hospitals were required to implement a prospective payment system for reimbursement using a diagnosis-related groups (DRGs) classification system by the beginning of 2012. Reforms to a health care system should be assessed for their impact, including their impact on ethically relevant factors. Over a number of years and in a number of countries, questions have been raised in the literature about the ethical implications of the implementation of DRGs. However, despite this, researchers have not attempted to identify the major ethical issues associated with DRGs systematically. To address this gap in the literature, we have developed a matrix for identifying the ethical implications of the implementation of DRGs. It was developed using a literature review, and empirical studies on DRGs, as well as a review and analysis of existing ethics frameworks. The matrix consists of the ethically relevant parameters of health care systems on which DRGs are likely to have an impact; the ethical values underlying these parameters; and examples of specific research questions associated with DRGs to illustrate how the matrix can be applied. While the matrix has been developed in light of the Swiss health care reform, it could be used as a basis for identifying the ethical implications of DRG-based systems worldwide and for highlighting the ethical implications of other kinds of provider payment systems (PPS). Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Evaluation of interactive computerized training to teach parents to implement photographic activity schedules with children with autism spectrum disorder.

PubMed

Gerencser, Kristina R; Higbee, Thomas S; Akers, Jessica S; Contreras, Bethany P

2017-07-01

Training parents of children with autism spectrum disorder can be a challenge due to limited resources, time, and money. Interactive computerized training (ICT)-a self-paced program that incorporates instructions, videos, and interactive questions-is one method professionals can use to disseminate trainings to broader populations. This study extends previous research on ICT by assessing the effect of ICT to teach three parents how to implement a photographic activity schedule using a systematic prompting procedure with their child. Following ICT, all parents increased their fidelity to implementation of an activity schedule during role-play sessions with an adult. Fidelity remained high during implementation with their child and maintained during a 2-week follow-up. © 2017 Society for the Experimental Analysis of Behavior.

Paving the road for a European postgraduate training curriculum.

PubMed

van der Aa, Jessica E; Goverde, Angelique J; Teunissen, Pim W; Scheele, Fedde

2016-08-01

The 'Project for Achieving Consensus in Training' has been initiated by the European Board & College of Obstetrics and Gynaecology to harmonise training in Obstetrics and Gynaecology throughout Europe. In this project called the EBCOG-PACT, a state of the art pan-European training curriculum will be developed. Implementation of a pan-European curriculum will enhance harmonisation of both quality standards of women's healthcare practice and standards of postgraduate training. Secondly, it will assure equal quality of training of gynaecologists, promoting mobility throughout Europe. Thirdly, it will enhance cooperation and exchange of best practices between medical specialists and hospitals within Europe. The project is expecting to deliver (1) a description of the core and electives of the curriculum based on previously defined standards of care, (2) a societally responsive competency framework based on input from societal stakeholders and (3) strategies for education and assessment based on the current literature. Also, the project focuses on implementation and sustainability of the curriculum by delivering (4) a SWOT-analysis for the implementation based on insights into transcultural differences, (5) recommendations for implementation, change management and sustainability based on the SWOT analysis (6) and finally a handbook for other specialties initiating European curriculum development. The development and the implementation of this modern pan-European curriculum in Obstetrics and Gynaecology aims to serve as an example for the harmonisation of postgraduate training in Europe. Copyright © 2016. Published by Elsevier Ireland Ltd.

Tangent linear super-parameterization: attributable, decomposable moist processes for tropical variability studies

NASA Astrophysics Data System (ADS)

Mapes, B. E.; Kelly, P.; Song, S.; Hu, I. K.; Kuang, Z.

2015-12-01

An economical 10-layer global primitive equation solver is driven by time-independent forcing terms, derived from a training process, to produce a realisting eddying basic state with a tracer q trained to act like water vapor mixing ratio. Within this basic state, linearized anomaly moist physics in the column are applied in the form of a 20x20 matrix. The control matrix was derived from the results of Kuang (2010, 2012) who fitted a linear response function from a cloud resolving model in a state of deep convecting equilibrium. By editing this matrix in physical space and eigenspace, scaling and clipping its action, and optionally adding terms for processes that do not conserve moist statice energy (radiation, surface fluxes), we can decompose and explain the model's diverse moist process coupled variability. Recitified effects of this variability on the general circulation and climate, even in strictly zero-mean centered anomaly physic cases, also are sometimes surprising.

A project to establish a skills competency matrix for EU nurses.

PubMed

Cowan, David T; Norman, Ian J; Coopamah, Vinoda P

Enhanced nurse workforce mobility in the European Union (EU) is seen as a remedy to shortages of nurses in some EU countries and a surplus in others. However, knowledge of differences in competence, culture, skill levels and working practices of nursing staff throughout EU countries is not fully documented because currently no tangible method exists to enable comparison. The European Healthcare Training and Accreditation Network (EHTAN) project intends to address this problem by establishing an assessment and evaluation methodology through the compilation of a skills competency matrix. To this end, subsequent to a review of documentation and literature on nursing competence definition and assessment, two versions of a nursing competence self-assessment questionnaire tool have been developed. The final competence matrix will be translated and disseminated for transnational use and it is hoped that this will inform EU and national policies on the training requirements of nurses and nursing mobility and facilitate the promotion of EU-wide recognition of nursing qualifications.

Successful international collaboration improves family donation conversations resulting in increased organ donation.

PubMed

Mulvania, P; Mehakovic, E; Wise, C; Cass, Y; Daly, T A; Nathan, H M

2014-01-01

Australian donation leaders recognized that to increase organ donation outcomes, health professionals conducting family donation conversations (FDCs) required support and specialist training. An international training institute with programs based on proven results was engaged to create and implement a customized training program to influence change in FDC practice and culture. The goal was to increase donation rates by developing and implementing a customized, self-sustaining training program to enhance FDC practices of health professionals. Other goals included providing training and communications skills to lead FDC, supporting families in making decisions, and influencing health professionals to adopt FDC practices. To gain support and determine program suitability, two 1-day pilot training sessions were provided to 45 Australian donation leaders in 2011. Training was further customized with an emphasis on creating changes to achieve and sustain desired results. A comprehensive national training plan was implemented over 18 months. Twenty-six 2-day FDC training workshops were held in 8 cities (646 participants). Program evaluations and debriefings showed distinct shifts in perspectives and an enthusiasm to implement new processes. In 2012 to 2013, an instructor program was developed to transition training facilitation. The training institute remains involved in development and training to build and sustain skill and expertise. There was a 58% increase in organ donors in Australia from 2009 to 2013 (data reflect 2013 Australian end-of-year organ donation information). This represents a 36% increase in organ donors (2009-2011); the remaining 22% increase was achieved in the 2 years since the FDC training was implemented in Australia (2011-2013). Improved skills training in the conduct of FDCs seem to have contributed to improved donation outcomes in national identification, request, and consent rates. The integration of another organization's process poses distinct challenges; thoughtful collaboration, sensitive to cultural aspects and family care, communication, and donation practices, can result in successful customized training that shifts perspectives, provides new skills, and achieves and sustains an increase in organ donation rates. Copyright © 2014 Elsevier Inc. All rights reserved.

Risks for the development of outcomes related to occupational allergies: an application of the asthma-specific job exposure matrix compared with self-reports and investigator scores on job-training-related exposure.

PubMed

Suarthana, E; Heederik, D; Ghezzo, H; Malo, J-L; Kennedy, S M; Gautrin, D

2009-04-01

Risks for development of occupational sensitisation, bronchial hyper-responsiveness, rhinoconjunctival and chest symptoms at work associated with continued exposure to high molecular weight (HMW) allergens were estimated with three exposure assessment methods. A Cox regression analysis with adjustment for atopy and smoking habit was carried out in 408 apprentices in animal health technology, pastry making, and dental hygiene technology with an 8-year follow-up after training. The risk of continued exposure after training, estimated by the asthma-specific job exposure matrix (JEM), was compared with self-reports and investigator scores on job-training-related exposure. Associations between outcomes and work duration in job(s) related to training were also evaluated. Exposure to animal-derived HMW allergens, subsequent to the apprenticeship period, as estimated by the JEM, was associated with a significantly increased risk for occupational sensitisation (hazard ratio (HR) 6.4; 95% CI 2.3 to 18.2) and rhinoconjunctival symptoms at work (HR 2.6; 95% CI 1.1 to 6.2). Exposure to low molecular weight (LMW) agents significantly increased the risk of developing bronchial hyper-responsiveness (HR 2.3; 95% CI 1.1 to 5.4). Exposure verification appeared to be important to optimise the sensitivity and the specificity, as well as HRs produced by the JEM. Self-reports and investigator scores also indicated that further exposure to HMW allergens increased the risk of developing occupational allergies. The agreement between self-reports, investigator scores, and the JEM were moderate to good. There was no significant association between respiratory outcomes and work duration in jobs related to training. The asthma-specific JEM could estimate the risk of various outcomes of occupational allergies associated with exposure to HMW and LMW allergens, but it is relatively labour intensive. Exposure verification is an important integrated step in the JEM that optimised the performance of the matrix.

First Human Brain Imaging by the jPET-D4 Prototype With a Pre-Computed System Matrix

NASA Astrophysics Data System (ADS)

Yamaya, Taiga; Yoshida, Eiji; Obi, Takashi; Ito, Hiroshi; Yoshikawa, Kyosan; Murayama, Hideo

2008-10-01

The jPET-D4 is a novel brain PET scanner which aims to achieve not only high spatial resolution but also high scanner sensitivity by using 4-layer depth-of-interaction (DOI) information. The dimensions of a system matrix for the jPET-D4 are 3.3 billion (lines-of-response) times 5 million (image elements) when a standard field-of-view (FOV) of 25 cm diameter is sampled with a (1.5 mm)3 voxel . The size of the system matrix is estimated as 117 petabytes (PB) with the accuracy of 8 bytes per element. An on-the-fly calculation is usually used to deal with such a huge system matrix. However we cannot avoid extension of the calculation time when we improve the accuracy of system modeling. In this work, we implemented an alternative approach based on pre-calculation of the system matrix. A histogram-based 3D OS-EM algorithm was implemented on a desktop workstation with 32 GB memory installed. The 117 PB system matrix was compressed under the limited amount of computer memory by (1) eliminating zero elements, (2) applying the DOI compression (DOIC) method and (3) applying rotational symmetry and an axial shift property of the crystal arrangement. Spanning, which degrades axial resolution, was not applied. The system modeling and the DOIC method, which had been validated in 2D image reconstruction, were expanded into 3D implementation. In particular, a new system model including the DOIC transformation was introduced to suppress resolution loss caused by the DOIC method. Experimental results showed that the jPET-D4 has almost uniform spatial resolution of better than 3 mm over the FOV. Finally the first human brain images were obtained with the jPET-D4.

Exploring the Use of a Multiplayer Game to Execute Light Infantry Company Missions

DTIC Science & Technology

2009-10-01

training : (a) are trained sufficiently to implement the tasks (T), (b) need practice with implementing the task (P), and (c) are untrained on the task...approved for distribution: BARBARA A. BLACK, Ph.D. MICHELLE SAMS, Ph.D. Research Program Manager Director Training and...Maneuver Captains Career Course (MCCC) at Fort Benning, Georgia, have had limited success using training games. Early efforts to provide the MCCC with

Putting the MeaT into TeaM Training: Development, Delivery, and Evaluation of a Surgical Team-Training Workshop.

PubMed

Seymour, Neal E; Paige, John T; Arora, Sonal; Fernandez, Gladys L; Aggarwal, Rajesh; Tsuda, Shawn T; Powers, Kinga A; Langlois, Gerard; Stefanidis, Dimitrios

2016-01-01

Despite importance to patient care, team training is infrequently used in surgical education. To address this, a workshop was developed by the Association for Surgical Education Simulation Committee to teach team training using high-fidelity patient simulators and the American College of Surgeons-Association of Program Directors in Surgery team-training curriculum. Workshops were conducted at 3 national meetings. Participants completed preworkshop and postworkshop questionnaires to define experience, confidence in using simulation, intention to implement, as well as workshop content quality. The course consisted of (A) a didactic review of Preparation, Implementation, and Debriefing and (B) facilitated small group simulation sessions followed by debriefings. Of 78 participants, 51 completed the workshops. Overall, 65% indicated that residents at their institutions used patient simulation, but only 33% used the American College of Surgeons-the Association of Program Directors in Surgery team-training modules. The workshop increased confidence to implement simulation team training (3.4 ± 1.3 vs 4.5 ± 0.9). Quality and importance were rated highly (5.4 ± 00.6, highest score = 6). Preparation for simulation-based team training is possible in this workshop setting, although the effect on actual implementation remains to be determined. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Multi-GPU implementation of a VMAT treatment plan optimization algorithm

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

Tian, Zhen, E-mail: Zhen.Tian@UTSouthwestern.edu, E-mail: Xun.Jia@UTSouthwestern.edu, E-mail: Steve.Jiang@UTSouthwestern.edu; Folkerts, Michael; Tan, Jun

Purpose: Volumetric modulated arc therapy (VMAT) optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing units (GPUs) have been used to speed up the computations. However, GPU’s relatively small memory size cannot handle cases with a large dose-deposition coefficient (DDC) matrix in cases of, e.g., those with a large target size, multiple targets, multiple arcs, and/or small beamlet size. The main purpose of this paper is to report an implementation of a column-generation-based VMAT algorithm, previously developed in the authors’ group, on a multi-GPU platform tomore » solve the memory limitation problem. While the column-generation-based VMAT algorithm has been previously developed, the GPU implementation details have not been reported. Hence, another purpose is to present detailed techniques employed for GPU implementation. The authors also would like to utilize this particular problem as an example problem to study the feasibility of using a multi-GPU platform to solve large-scale problems in medical physics. Methods: The column-generation approach generates VMAT apertures sequentially by solving a pricing problem (PP) and a master problem (MP) iteratively. In the authors’ method, the sparse DDC matrix is first stored on a CPU in coordinate list format (COO). On the GPU side, this matrix is split into four submatrices according to beam angles, which are stored on four GPUs in compressed sparse row format. Computation of beamlet price, the first step in PP, is accomplished using multi-GPUs. A fast inter-GPU data transfer scheme is accomplished using peer-to-peer access. The remaining steps of PP and MP problems are implemented on CPU or a single GPU due to their modest problem scale and computational loads. Barzilai and Borwein algorithm with a subspace step scheme is adopted here to solve the MP problem. A head and neck (H and N) cancer case is then used to validate the authors’ method. The authors also compare their multi-GPU implementation with three different single GPU implementation strategies, i.e., truncating DDC matrix (S1), repeatedly transferring DDC matrix between CPU and GPU (S2), and porting computations involving DDC matrix to CPU (S3), in terms of both plan quality and computational efficiency. Two more H and N patient cases and three prostate cases are used to demonstrate the advantages of the authors’ method. Results: The authors’ multi-GPU implementation can finish the optimization process within ∼1 min for the H and N patient case. S1 leads to an inferior plan quality although its total time was 10 s shorter than the multi-GPU implementation due to the reduced matrix size. S2 and S3 yield the same plan quality as the multi-GPU implementation but take ∼4 and ∼6 min, respectively. High computational efficiency was consistently achieved for the other five patient cases tested, with VMAT plans of clinically acceptable quality obtained within 23–46 s. Conversely, to obtain clinically comparable or acceptable plans for all six of these VMAT cases that the authors have tested in this paper, the optimization time needed in a commercial TPS system on CPU was found to be in an order of several minutes. Conclusions: The results demonstrate that the multi-GPU implementation of the authors’ column-generation-based VMAT optimization can handle the large-scale VMAT optimization problem efficiently without sacrificing plan quality. The authors’ study may serve as an example to shed some light on other large-scale medical physics problems that require multi-GPU techniques.« less

An Implementation Model for Integrated Learning Systems.

ERIC Educational Resources Information Center

Mills, Steven C.; Ragan, Tillman R.

This paper describes the development, validation, and research application of the Computer-Delivered Instruction Configuration Matrix (CDICM), an instrument for evaluating the implementation of Integrated Learning Systems (ILS). The CDICM consists of a 15-item checklist, describing the major components of implementation of ILS technology, to be…

Examining the utility of a train-the-trainer model for dissemination of sexual violence prevention in schools.

PubMed

Weingarten, Christine; Rabago, Jina; Reynolds, Jasmine; Gates, Kalani; Yanagida, Evie; Baker, Charlene

2018-06-01

Rates of childhood sexual abuse are unacceptably high, with potentially long-lasting consequences for those who have been victimized. Currently, there are a number of sexual violence prevention programs that have been developed to lower rates of victimization, increase awareness, and connect victims with resources. Within this area of research, there has been less focus on effective methods of program dissemination. For example, school-based sexual violence prevention programs have had positive outcomes; however, little is known about how these programs are disseminated. The train-the-trainer model of dissemination utilizes master trainers to equip others to implement programs, thereby allowing more adults to teach and subsequently more children to receive the program. This study used survey data from teachers and other school personnel (n = 127) to analyze the utility of a train-the-trainer model of dissemination for a sexual violence prevention program in the state of Hawai'i. Through responses of people who were trained to implement the program (59.8% of whom did implement), aspects of the training, the program itself, and factors affecting whether a person implemented the program were explored. Results suggest that time spent in training, job position, and time in that position predicted whether a person trained to implement the sexual violence prevention program followed through with teaching the program to students. Additionally, 54.7% of people who did implement the program had at least one student disclose sexual violence to them, indicating the importance of sexual violence prevention programming and dissemination of these programs. Copyright © 2018 Elsevier Ltd. All rights reserved.

Implementing the Early Childhood Development Teacher Training Framework in Uganda: Gains and Challenges

ERIC Educational Resources Information Center

Ejuu, Godfrey

2012-01-01

Training of quality early childhood development (ECD) teachers is paramount in ensuring quality ECD service provision. This exploratory study focuses on the gains and challenges met in the implementation of the Uganda ECD teacher training framework. Data were obtained using questionnaires and interviews from principals and tutors of ECD teacher…

In-Home Parent Training of Functional Analysis Skills

ERIC Educational Resources Information Center

Stokes, John V.; Luiselli, James K.

2008-01-01

We taught two sets of parents to conduct a functional analysis (FA) under simulated conditions in their homes. Relative to a baseline (pre-training) phase, the accuracy of FA implementation by parents improved when they were given verbal, written, and video performance feedback. When training concluded, parents were able to implement FA accurately…

Integrating Training in Family-Centered Practices in Context: Implications for Implementing Change Activities.

ERIC Educational Resources Information Center

Granlund, Mats; Bjorck-Akesson, Eva

2000-01-01

This article discusses in-service training of Swedish professionals in family-centered intervention for families with children with disabilities. The training, which has been implemented on an interdisciplinary team basis in the context of ordinary habilitation services, is described as one of several options for fostering improvement within an…

Development of a National Education and Training Data Standards Strategy and Implementation Plan. Cat. No. EDU 4

ERIC Educational Resources Information Center

Australian Institute of Health and Welfare, 2015

2015-01-01

The Australian Institute of Health and Welfare developed a national data standards strategy and implementation plan to enhance the comparability, quality and coherence of information across the Australian education and training sectors, including early childhood education, school education, vocational education and training (VET) and higher…

A Meta-Analysis of Educator Training to Improve Implementation of Interventions for Students with Disabilities

ERIC Educational Resources Information Center

Brock, Matthew E.; Carter, Erik W.

2017-01-01

Teachers and paraprofessionals need effective training to improve their implementation of interventions for students with disabilities. Reviews of the single-case design literature have identified some features associated with effective training for these educators, but the group-design literature has received little attention. This meta-analysis…

A broadband 8-18GHz 4-input 4-output Butler matrix

NASA Astrophysics Data System (ADS)

Milner, Leigh; Parker, Michael

2007-01-01

Butler matrices can be used in antenna beam-forming networks to provide a linear phase distribution across the elements of an array. The development of an 8 to 18GHz micro-strip implementation of a 4-input 4-ouput Butler matrix is described. The designed Butler matrix uses March hybrids, Schiffman phase shifters and wire-bond crossovers integrated on a single 60mm x 70mm alumina substrate.

spammpack, Version 2013-06-18

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

2014-01-17

This library is an implementation of the Sparse Approximate Matrix Multiplication (SpAMM) algorithm introduced. It provides a matrix data type, and an approximate matrix product, which exhibits linear scaling computational complexity for matrices with decay. The product error and the performance of the multiply can be tuned by choosing an appropriate tolerance. The library can be compiled for serial execution or parallel execution on shared memory systems with an OpenMP capable compiler

Bit error rate tester using fast parallel generation of linear recurring sequences

DOEpatents

Pierson, Lyndon G.; Witzke, Edward L.; Maestas, Joseph H.

2003-05-06

A fast method for generating linear recurring sequences by parallel linear recurring sequence generators (LRSGs) with a feedback circuit optimized to balance minimum propagation delay against maximal sequence period. Parallel generation of linear recurring sequences requires decimating the sequence (creating small contiguous sections of the sequence in each LRSG). A companion matrix form is selected depending on whether the LFSR is right-shifting or left-shifting. The companion matrix is completed by selecting a primitive irreducible polynomial with 1's most closely grouped in a corner of the companion matrix. A decimation matrix is created by raising the companion matrix to the (n*k).sup.th power, where k is the number of parallel LRSGs and n is the number of bits to be generated at a time by each LRSG. Companion matrices with 1's closely grouped in a corner will yield sparse decimation matrices. A feedback circuit comprised of XOR logic gates implements the decimation matrix in hardware. Sparse decimation matrices can be implemented with minimum number of XOR gates, and therefore a minimum propagation delay through the feedback circuit. The LRSG of the invention is particularly well suited to use as a bit error rate tester on high speed communication lines because it permits the receiver to synchronize to the transmitted pattern within 2n bits.

A Parallel Framework with Block Matrices of a Discrete Fourier Transform for Vector-Valued Discrete-Time Signals.

PubMed

Soto-Quiros, Pablo

2015-01-01

This paper presents a parallel implementation of a kind of discrete Fourier transform (DFT): the vector-valued DFT. The vector-valued DFT is a novel tool to analyze the spectra of vector-valued discrete-time signals. This parallel implementation is developed in terms of a mathematical framework with a set of block matrix operations. These block matrix operations contribute to analysis, design, and implementation of parallel algorithms in multicore processors. In this work, an implementation and experimental investigation of the mathematical framework are performed using MATLAB with the Parallel Computing Toolbox. We found that there is advantage to use multicore processors and a parallel computing environment to minimize the high execution time. Additionally, speedup increases when the number of logical processors and length of the signal increase.

Leadership's Role in Support of Online Academic Programs: Implementing an Administrative Support Matrix

PubMed Central

Barefield, Amanda C.; Meyer, John D.

2013-01-01

The proliferation of online education programs creates a myriad of challenges for those charged with implementation and delivery of these programs. Although creating and sustaining quality education is a shared responsibility of faculty, staff, and academic leaders, this article focuses on the pivotal role of leadership in securing the necessary resources, developing the organizational structures, and influencing organizational culture. The vital foundation for a successful outcome when implementing online education programs is the role of leadership in providing adequate and appropriate support. Abundant literature extols the roles of leadership in project management; however, there is a dearth of models or systematic methods for leaders to follow regarding how to implement and sustain online programs. Research conducted by the authors culminated in the development of an Administrative Support Matrix, thus addressing the current gap in the literature. PMID:23346030

A study of human resource competencies required to implement community rehabilitation in less resourced settings.

PubMed

Gilmore, Brynne; MacLachlan, Malcolm; McVeigh, Joanne; McClean, Chiedza; Carr, Stuart; Duttine, Antony; Mannan, Hasheem; McAuliffe, Eilish; Mji, Gubela; Eide, Arne H; Hem, Karl-Gerhard; Gupta, Neeru

2017-09-22

It is estimated that over one billion persons worldwide have some form of disability. However, there is lack of knowledge and prioritisation of how to serve the needs and provide opportunities for people with disabilities. The community-based rehabilitation (CBR) guidelines, with sufficient and sustained support, can assist in providing access to rehabilitation services, especially in less resourced settings with low resources for rehabilitation. In line with strengthening the implementation of the health-related CBR guidelines, this study aimed to determine what workforce characteristics at the community level enable quality rehabilitation services, with a focus primarily on less resourced settings. This was a two-phase review study using (1) a relevant literature review informed by realist synthesis methodology and (2) Delphi survey of the opinions of relevant stakeholders regarding the findings of the review. It focused on individuals (health professionals, lay health workers, community rehabilitation workers) providing services for persons with disabilities in less resourced settings. Thirty-three articles were included in this review. Three Delphi iterations with 19 participants were completed. Taken together, these produced 33 recommendations for developing health-related rehabilitation services. Several general principles for configuring the community rehabilitation workforce emerged: community-based initiatives can allow services to reach more vulnerable populations; the need for supportive and structured supervision at the facility level; core skills likely include case management, social protection, monitoring and record keeping, counselling skills and mechanisms for referral; community ownership; training in CBR matrix and advocacy; a tiered/teamwork system of service delivery; and training should take a rights-based approach, include practical components, and involve persons with disabilities in the delivery and planning. This research can contribute to implementing the WHO guidelines on the interaction between the health sector and CBR, particularly in the context of the Framework for Action for Strengthening Health Systems, in which human resources is one of six components. Realist syntheses can provide policy makers with detailed and practical information regarding complex health interventions, which may be valuable when planning and implementing programmes.

Compressed sensing of hyperspectral images based on scrambled block Hadamard ensemble

NASA Astrophysics Data System (ADS)

Wang, Li; Feng, Yan

2016-11-01

A fast measurement matrix based on scrambled block Hadamard ensemble for compressed sensing (CS) of hyperspectral images (HSI) is investigated. The proposed measurement matrix offers several attractive features. First, the proposed measurement matrix possesses Gaussian behavior, which illustrates that the matrix is universal and requires a near-optimal number of samples for exact reconstruction. In addition, it could be easily implemented in the optical domain due to its integer-valued elements. More importantly, the measurement matrix only needs small memory for storage in the sampling process. Experimental results on HSIs reveal that the reconstruction performance of the proposed measurement matrix is comparable or better than Gaussian matrix and Bernoulli matrix using different reconstruction algorithms while consuming less computational time. The proposed matrix could be used in CS of HSI, which would save the storage memory on board, improve the sampling efficiency, and ameliorate the reconstruction quality.

Parent Management Training-Oregon Model (PMTO™) in Mexico City: Integrating Cultural Adaptation Activities in an Implementation Model

PubMed Central

Baumann, Ana A.; Domenech Rodríguez, Melanie M.; Amador, Nancy G.; Forgatch, Marion S.; Parra-Cardona, J. Rubén

2015-01-01

This article describes the process of cultural adaptation at the start of the implementation of the Parent Management Training intervention-Oregon model (PMTO) in Mexico City. The implementation process was guided by the model, and the cultural adaptation of PMTO was theoretically guided by the cultural adaptation process (CAP) model. During the process of the adaptation, we uncovered the potential for the CAP to be embedded in the implementation process, taking into account broader training and economic challenges and opportunities. We discuss how cultural adaptation and implementation processes are inextricably linked and iterative and how maintaining a collaborative relationship with the treatment developer has guided our work and has helped expand our research efforts, and how building human capital to implement PMTO in Mexico supported the implementation efforts of PMTO in other places in the United States. PMID:26052184

Parent Management Training-Oregon Model (PMTO™) in Mexico City: Integrating Cultural Adaptation Activities in an Implementation Model.

PubMed

Baumann, Ana A; Domenech Rodríguez, Melanie M; Amador, Nancy G; Forgatch, Marion S; Parra-Cardona, J Rubén

2014-03-01

This article describes the process of cultural adaptation at the start of the implementation of the Parent Management Training intervention-Oregon model (PMTO) in Mexico City. The implementation process was guided by the model, and the cultural adaptation of PMTO was theoretically guided by the cultural adaptation process (CAP) model. During the process of the adaptation, we uncovered the potential for the CAP to be embedded in the implementation process, taking into account broader training and economic challenges and opportunities. We discuss how cultural adaptation and implementation processes are inextricably linked and iterative and how maintaining a collaborative relationship with the treatment developer has guided our work and has helped expand our research efforts, and how building human capital to implement PMTO in Mexico supported the implementation efforts of PMTO in other places in the United States.

Commitment to Change and Challenges to Implementing Changes After Workplace-Based Assessment Rater Training.

PubMed

Kogan, Jennifer R; Conforti, Lisa N; Yamazaki, Kenji; Iobst, William; Holmboe, Eric S

2017-03-01

Faculty development for clinical faculty who assess trainees is necessary to improve assessment quality and impor tant for competency-based education. Little is known about what faculty plan to do differently after training. This study explored the changes faculty intended to make after workplace-based assessment rater training, their ability to implement change, predictors of change, and barriers encountered. In 2012, 45 outpatient internal medicine faculty preceptors (who supervised residents) from 26 institutions participated in rater training. They completed a commitment to change form listing up to five commitments and ranked (on a 1-5 scale) their motivation for and anticipated difficulty implementing each change. Three months later, participants were interviewed about their ability to implement change and barriers encountered. The authors used logistic regression to examine predictors of change. Of 191 total commitments, the most common commitments focused on what faculty would change about their own teaching (57%) and increasing direct observation (31%). Of the 183 commitments for which follow-up data were available, 39% were fully implemented, 40% were partially implemented, and 20% were not implemented. Lack of time/competing priorities was the most commonly cited barrier. Higher initial motivation (odds ratio [OR] 2.02; 95% confidence interval [CI] 1.14, 3.57) predicted change. As anticipated difficulty increased, implementation became less likely (OR 0.67; 95% CI 0.49, 0.93). While higher baseline motivation predicted change, multiple system-level barriers undermined ability to implement change. Rater-training faculty development programs should address how faculty motivation and organizational barriers interact and influence ability to change.

A parallel algorithm for Hamiltonian matrix construction in electron-molecule collision calculations: MPI-SCATCI

NASA Astrophysics Data System (ADS)

Al-Refaie, Ahmed F.; Tennyson, Jonathan

2017-12-01

Construction and diagonalization of the Hamiltonian matrix is the rate-limiting step in most low-energy electron - molecule collision calculations. Tennyson (1996) implemented a novel algorithm for Hamiltonian construction which took advantage of the structure of the wavefunction in such calculations. This algorithm is re-engineered to make use of modern computer architectures and the use of appropriate diagonalizers is considered. Test calculations demonstrate that significant speed-ups can be gained using multiple CPUs. This opens the way to calculations which consider higher collision energies, larger molecules and / or more target states. The methodology, which is implemented as part of the UK molecular R-matrix codes (UKRMol and UKRMol+) can also be used for studies of bound molecular Rydberg states, photoionization and positron-molecule collisions.

ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients.

PubMed

Kim, Seongho

2015-11-01

Lack of a general matrix formula hampers implementation of the semi-partial correlation, also known as part correlation, to the higher-order coefficient. This is because the higher-order semi-partial correlation calculation using a recursive formula requires an enormous number of recursive calculations to obtain the correlation coefficients. To resolve this difficulty, we derive a general matrix formula of the semi-partial correlation for fast computation. The semi-partial correlations are then implemented on an R package ppcor along with the partial correlation. Owing to the general matrix formulas, users can readily calculate the coefficients of both partial and semi-partial correlations without computational burden. The package ppcor further provides users with the level of the statistical significance with its test statistic.

Layer-oriented multigrid wavefront reconstruction algorithms for multi-conjugate adaptive optics

NASA Astrophysics Data System (ADS)

Gilles, Luc; Ellerbroek, Brent L.; Vogel, Curtis R.

2003-02-01

Multi-conjugate adaptive optics (MCAO) systems with 104-105 degrees of freedom have been proposed for future giant telescopes. Using standard matrix methods to compute, optimize, and implement wavefront control algorithms for these systems is impractical, since the number of calculations required to compute and apply the reconstruction matrix scales respectively with the cube and the square of the number of AO degrees of freedom. In this paper, we develop an iterative sparse matrix implementation of minimum variance wavefront reconstruction for telescope diameters up to 32m with more than 104 actuators. The basic approach is the preconditioned conjugate gradient method, using a multigrid preconditioner incorporating a layer-oriented (block) symmetric Gauss-Seidel iterative smoothing operator. We present open-loop numerical simulation results to illustrate algorithm convergence.

On the effective implementation of a boundary element code on graphics processing units unsing an out-of-core LU algorithm

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

D'Azevedo, Ed F; Nintcheu Fata, Sylvain

2012-01-01

A collocation boundary element code for solving the three-dimensional Laplace equation, publicly available from \\url{http://www.intetec.org}, has been adapted to run on an Nvidia Tesla general purpose graphics processing unit (GPU). Global matrix assembly and LU factorization of the resulting dense matrix were performed on the GPU. Out-of-core techniques were used to solve problems larger than available GPU memory. The code achieved over eight times speedup in matrix assembly and about 56~Gflops/sec in the LU factorization using only 512~Mbytes of GPU memory. Details of the GPU implementation and comparisons with the standard sequential algorithm are included to illustrate the performance ofmore » the GPU code.« less

Singular value decomposition utilizing parallel algorithms on graphical processors

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

Kotas, Charlotte W; Barhen, Jacob

2011-01-01

One of the current challenges in underwater acoustic array signal processing is the detection of quiet targets in the presence of noise. In order to enable robust detection, one of the key processing steps requires data and replica whitening. This, in turn, involves the eigen-decomposition of the sample spectral matrix, Cx = 1/K xKX(k)XH(k) where X(k) denotes a single frequency snapshot with an element for each element of the array. By employing the singular value decomposition (SVD) method, the eigenvectors and eigenvalues can be determined directly from the data without computing the sample covariance matrix, reducing the computational requirements formore » a given level of accuracy (van Trees, Optimum Array Processing). (Recall that the SVD of a complex matrix A involves determining V, , and U such that A = U VH where U and V are orthonormal and is a positive, real, diagonal matrix containing the singular values of A. U and V are the eigenvectors of AAH and AHA, respectively, while the singular values are the square roots of the eigenvalues of AAH.) Because it is desirable to be able to compute these quantities in real time, an efficient technique for computing the SVD is vital. In addition, emerging multicore processors like graphical processing units (GPUs) are bringing parallel processing capabilities to an ever increasing number of users. Since the computational tasks involved in array signal processing are well suited for parallelization, it is expected that these computations will be implemented using GPUs as soon as users have the necessary computational tools available to them. Thus, it is important to have an SVD algorithm that is suitable for these processors. This work explores the effectiveness of two different parallel SVD implementations on an NVIDIA Tesla C2050 GPU (14 multiprocessors, 32 cores per multiprocessor, 1.15 GHz clock - peed). The first algorithm is based on a two-step algorithm which bidiagonalizes the matrix using Householder transformations, and then diagonalizes the intermediate bidiagonal matrix through implicit QR shifts. This is similar to that implemented for real matrices by Lahabar and Narayanan ("Singular Value Decomposition on GPU using CUDA", IEEE International Parallel Distributed Processing Symposium 2009). The implementation is done in a hybrid manner, with the bidiagonalization stage done using the GPU while the diagonalization stage is done using the CPU, with the GPU used to update the U and V matrices. The second algorithm is based on a one-sided Jacobi scheme utilizing a sequence of pair-wise column orthogonalizations such that A is replaced by AV until the resulting matrix is sufficiently orthogonal (that is, equal to U ). V is obtained from the sequence of orthogonalizations, while can be found from the square root of the diagonal elements of AH A and, once is known, U can be found from column scaling the resulting matrix. These implementations utilize CUDA Fortran and NVIDIA's CUB LAS library. The primary goal of this study is to quantify the comparative performance of these two techniques against themselves and other standard implementations (for example, MATLAB). Considering that there is significant overhead associated with transferring data to the GPU and with synchronization between the GPU and the host CPU, it is also important to understand when it is worthwhile to use the GPU in terms of the matrix size and number of concurrent SVDs to be calculated.« less

Hypercube matrix computation task

NASA Technical Reports Server (NTRS)

Calalo, Ruel H.; Imbriale, William A.; Jacobi, Nathan; Liewer, Paulett C.; Lockhart, Thomas G.; Lyzenga, Gregory A.; Lyons, James R.; Manshadi, Farzin; Patterson, Jean E.

1988-01-01

A major objective of the Hypercube Matrix Computation effort at the Jet Propulsion Laboratory (JPL) is to investigate the applicability of a parallel computing architecture to the solution of large-scale electromagnetic scattering problems. Three scattering analysis codes are being implemented and assessed on a JPL/California Institute of Technology (Caltech) Mark 3 Hypercube. The codes, which utilize different underlying algorithms, give a means of evaluating the general applicability of this parallel architecture. The three analysis codes being implemented are a frequency domain method of moments code, a time domain finite difference code, and a frequency domain finite elements code. These analysis capabilities are being integrated into an electromagnetics interactive analysis workstation which can serve as a design tool for the construction of antennas and other radiating or scattering structures. The first two years of work on the Hypercube Matrix Computation effort is summarized. It includes both new developments and results as well as work previously reported in the Hypercube Matrix Computation Task: Final Report for 1986 to 1987 (JPL Publication 87-18).

Hardware Implementation of a MIMO Decoder Using Matrix Factorization Based Channel Estimation

NASA Astrophysics Data System (ADS)

Islam, Mohammad Tariqul; Numan, Mostafa Wasiuddin; Misran, Norbahiah; Ali, Mohd Alauddin Mohd; Singh, Mandeep

2011-05-01

This paper presents an efficient hardware realization of multiple-input multiple-output (MIMO) wireless communication decoder that utilizes the available resources by adopting the technique of parallelism. The hardware is designed and implemented on Xilinx Virtex™-4 XC4VLX60 field programmable gate arrays (FPGA) device in a modular approach which simplifies and eases hardware update, and facilitates testing of the various modules independently. The decoder involves a proficient channel estimation module that employs matrix factorization on least squares (LS) estimation to reduce a full rank matrix into a simpler form in order to eliminate matrix inversion. This results in performance improvement and complexity reduction of the MIMO system. Performance evaluation of the proposed method is validated through MATLAB simulations which indicate 2 dB improvement in terms of SNR compared to LS estimation. Moreover complexity comparison is performed in terms of mathematical operations, which shows that the proposed approach appreciably outperforms LS estimation at a lower complexity and represents a good solution for channel estimation technique.

Design and experimental verification for optical module of optical vector-matrix multiplier.

PubMed

Zhu, Weiwei; Zhang, Lei; Lu, Yangyang; Zhou, Ping; Yang, Lin

2013-06-20

Optical computing is a new method to implement signal processing functions. The multiplication between a vector and a matrix is an important arithmetic algorithm in the signal processing domain. The optical vector-matrix multiplier (OVMM) is an optoelectronic system to carry out this operation, which consists of an electronic module and an optical module. In this paper, we propose an optical module for OVMM. To eliminate the cross talk and make full use of the optical elements, an elaborately designed structure that involves spherical lenses and cylindrical lenses is utilized in this optical system. The optical design software package ZEMAX is used to optimize the parameters and simulate the whole system. Finally, experimental data is obtained through experiments to evaluate the overall performance of the system. The results of both simulation and experiment indicate that the system constructed can implement the multiplication between a matrix with dimensions of 16 by 16 and a vector with a dimension of 16 successfully.

Spatiotemporal matrix image formation for programmable ultrasound scanners

NASA Astrophysics Data System (ADS)

Berthon, Beatrice; Morichau-Beauchant, Pierre; Porée, Jonathan; Garofalakis, Anikitos; Tavitian, Bertrand; Tanter, Mickael; Provost, Jean

2018-02-01

As programmable ultrasound scanners become more common in research laboratories, it is increasingly important to develop robust software-based image formation algorithms that can be obtained in a straightforward fashion for different types of probes and sequences with a small risk of error during implementation. In this work, we argue that as the computational power keeps increasing, it is becoming practical to directly implement an approximation to the matrix operator linking reflector point targets to the corresponding radiofrequency signals via thoroughly validated and widely available simulations software. Once such a spatiotemporal forward-problem matrix is constructed, standard and thus highly optimized inversion procedures can be leveraged to achieve very high quality images in real time. Specifically, we show that spatiotemporal matrix image formation produces images of similar or enhanced quality when compared against standard delay-and-sum approaches in phantoms and in vivo, and show that this approach can be used to form images even when using non-conventional probe designs for which adapted image formation algorithms are not readily available.

Lanczos algorithm with matrix product states for dynamical correlation functions

NASA Astrophysics Data System (ADS)

Dargel, P. E.; Wöllert, A.; Honecker, A.; McCulloch, I. P.; Schollwöck, U.; Pruschke, T.

2012-05-01

The density-matrix renormalization group (DMRG) algorithm can be adapted to the calculation of dynamical correlation functions in various ways which all represent compromises between computational efficiency and physical accuracy. In this paper we reconsider the oldest approach based on a suitable Lanczos-generated approximate basis and implement it using matrix product states (MPS) for the representation of the basis states. The direct use of matrix product states combined with an ex post reorthogonalization method allows us to avoid several shortcomings of the original approach, namely the multitargeting and the approximate representation of the Hamiltonian inherent in earlier Lanczos-method implementations in the DMRG framework, and to deal with the ghost problem of Lanczos methods, leading to a much better convergence of the spectral weights and poles. We present results for the dynamic spin structure factor of the spin-1/2 antiferromagnetic Heisenberg chain. A comparison to Bethe ansatz results in the thermodynamic limit reveals that the MPS-based Lanczos approach is much more accurate than earlier approaches at minor additional numerical cost.

Algorithm for optimizing bipolar interconnection weights with applications in associative memories and multitarget classification.

PubMed

Chang, S; Wong, K W; Zhang, W; Zhang, Y

1999-08-10

An algorithm for optimizing a bipolar interconnection weight matrix with the Hopfield network is proposed. The effectiveness of this algorithm is demonstrated by computer simulation and optical implementation. In the optical implementation of the neural network the interconnection weights are biased to yield a nonnegative weight matrix. Moreover, a threshold subchannel is added so that the system can realize, in real time, the bipolar weighted summation in a single channel. Preliminary experimental results obtained from the applications in associative memories and multitarget classification with rotation invariance are shown.

Algorithm for Optimizing Bipolar Interconnection Weights with Applications in Associative Memories and Multitarget Classification

NASA Astrophysics Data System (ADS)

Chang, Shengjiang; Wong, Kwok-Wo; Zhang, Wenwei; Zhang, Yanxin

1999-08-01

An algorithm for optimizing a bipolar interconnection weight matrix with the Hopfield network is proposed. The effectiveness of this algorithm is demonstrated by computer simulation and optical implementation. In the optical implementation of the neural network the interconnection weights are biased to yield a nonnegative weight matrix. Moreover, a threshold subchannel is added so that the system can realize, in real time, the bipolar weighted summation in a single channel. Preliminary experimental results obtained from the applications in associative memories and multitarget classification with rotation invariance are shown.

The semantic architecture of the World-Wide Molecular Matrix (WWMM)

PubMed Central

2011-01-01

The World-Wide Molecular Matrix (WWMM) is a ten year project to create a peer-to-peer (P2P) system for the publication and collection of chemical objects, including over 250, 000 molecules. It has now been instantiated in a number of repositories which include data encoded in Chemical Markup Language (CML) and linked by URIs and RDF. The technical specification and implementation is now complete. We discuss the types of architecture required to implement nodes in the WWMM and consider the social issues involved in adoption. PMID:21999475

The semantic architecture of the World-Wide Molecular Matrix (WWMM).

PubMed

Murray-Rust, Peter; Adams, Sam E; Downing, Jim; Townsend, Joe A; Zhang, Yong

2011-10-14

The World-Wide Molecular Matrix (WWMM) is a ten year project to create a peer-to-peer (P2P) system for the publication and collection of chemical objects, including over 250, 000 molecules. It has now been instantiated in a number of repositories which include data encoded in Chemical Markup Language (CML) and linked by URIs and RDF. The technical specification and implementation is now complete. We discuss the types of architecture required to implement nodes in the WWMM and consider the social issues involved in adoption.

Preliminary results in implementing a model of the world economy on the CYBER 205: A case of large sparse nonsymmetric linear equations

NASA Technical Reports Server (NTRS)

Szyld, D. B.

1984-01-01

A brief description of the Model of the World Economy implemented at the Institute for Economic Analysis is presented, together with our experience in converting the software to vector code. For each time period, the model is reduced to a linear system of over 2000 variables. The matrix of coefficients has a bordered block diagonal structure, and we show how some of the matrix operations can be carried out on all diagonal blocks at once.

Barriers to the implementation and uptake of simulation-based training programs in general surgery: a multinational qualitative study.

PubMed

Hosny, Shady G; Johnston, Maximilian J; Pucher, Philip H; Erridge, Simon; Darzi, Ara

2017-12-01

Despite evidence demonstrating the advantages of simulation training in general surgery, it is not widely integrated into surgical training programs worldwide. The aim of this study was to identify barriers and facilitators to the implementation and uptake of surgical simulation training programs. A multinational qualitative study was conducted using semi-structured interviews of general surgical residents and experts. Each interview was audio recorded, transcribed verbatim, and underwent emergent theme analysis. All data were anonymized and results pooled. A total of 37 individuals participated in the study. Seventeen experts (Program Directors and Surgical Attendings with an interest in surgical education) and 20 residents drawn from the United States, Canada, United Kingdom, France, and Japan were interviewed. Barriers to simulation-based training were identified based on key themes including financial cost, access, and translational benefit. Participants described cost (89%) and access (76%) as principal barriers to uptake. Common facilitators included a mandatory requirement to complete simulation training (78%) and on-going assessment of skills (78%). Participants felt that simulation training could improve patient outcomes (76%) but identified a lack of evidence to demonstrate benefit (38%). There was a consensus that simulation training has not been widely implemented (70%). There are multiple barriers to the implementation of surgical simulation training programs, however, there is agreement that these programs could potentially improve patient outcomes. Identifying these barriers enable the targeted use of facilitators to deliver simulation training programs. Copyright © 2017 Elsevier Inc. All rights reserved.

SAR Polarimetry

NASA Technical Reports Server (NTRS)

vanZyl, Jakob J.

2012-01-01

Radar Scattering includes: Surface Characteristics, Geometric Properties, Dielectric Properties, Rough Surface Scattering, Geometrical Optics and Small Perturbation Method Solutions, Integral Equation Method, Magellan Image of Pancake Domes on Venus, Dickinson Impact Crater on Venus (Magellan), Lakes on Titan (Cassini Radar, Longitudinal Dunes on Titan (Cassini Radar), Rough Surface Scattering: Effect of Dielectric Constant, Vegetation Scattering, Effect of Soil Moisture. Polarimetric Radar includes: Principles of Polarimetry: Field Descriptions, Wave Polarizations: Geometrical Representations, Definition of Ellipse Orientation Angles, Scatter as Polarization Transformer, Scattering Matrix, Coordinate Systems, Scattering Matrix, Covariance Matrix, Pauli Basis and Coherency Matrix, Polarization Synthesis, Polarimeter Implementation.

Applying transpose matrix on advanced encryption standard (AES) for database content

NASA Astrophysics Data System (ADS)

Manurung, E. B. P.; Sitompul, O. S.; Suherman

2018-03-01

Advanced Encryption Standard (AES) is a specification for the encryption of electronic data established by the U.S. National Institute of Standards and Technology (NIST) and has been adopted by the U.S. government and is now used worldwide. This paper reports the impact of transpose matrix integration to AES. Transpose matrix implementation on AES is aimed at first stage of chypertext modifications for text based database security so that the confidentiality improves. The matrix is also able to increase the avalanche effect of the cryptography algorithm 4% in average.

Comparison Of Models Of Metal-Matrix Composites

NASA Technical Reports Server (NTRS)

Bigelow, C. A.; Johnson, W. S.; Naik, R. A.

1994-01-01

Report presents comparative review of four mathematical models of micromechanical behaviors of fiber/metal-matrix composite materials. Models differ in various details, all based on properties of fiber and matrix constituent materials, all involve square arrays of fibers continuous and parallel and all assume complete bonding between constituents. Computer programs implementing models used to predict properties and stress-vs.-strain behaviors of unidirectional- and cross-ply laminated composites made of boron fibers in aluminum matrices and silicon carbide fibers in titanium matrices. Stresses in fiber and matrix constituent materials also predicted.

Can experiential-didactic training improve clinical STD practices?

PubMed

Dreisbach, Susan; Devine, Sharon; Fitch, John; Anderson, Teri; Lee, Terry; Rietmeijer, Cornelis; Corbett, Kitty K

2011-06-01

High rates of sexually transmitted diseases (STDs) present an ongoing costly public health challenge. One approach to reduce STD transmission is to increase the number of clinicians adopting the Centers for Disease Control and Prevention's STD Treatment Guidelines. This evaluation assesses the effectiveness of a 3-day experiential and didactic training to translate recommendations into practice by increasing clinician knowledge and skills and helping participants anticipate and overcome barriers to implementation. Between 2001 and 2004, 110 direct care clinicians from 10 states participated in one of 27 standardized 3-day interactive trainings offered by the Denver STD/human immunodeficiency virus (HIV) Prevention Training Center. STD/HIV knowledge and clinical skills were measured before, immediately after, and 6 months after training. Practice patterns were assessed before training and after 6 months. Structural barriers to implementation were identified 6 months post-training. Trainees demonstrated significant post-training gains in mean knowledge scores immediately post-training (P < 0.001) and 6 months post-training (P = 0.002). After 6 months, self-reported mean skill levels remained significantly improved compared to precourse (P < 0.05) for each of 27 skills including STD risk assessment, clinical examination, diagnosis, and treatment. Self-reported improvement in practice patterns was significant for 23 of 35 practices (P < 0.05) 6 months post-training. Participants indicated that inadequate time (52.9%), facilities/equipment (51.5%), and staffing (47.1%) interfered with implementation of recommended practices. Experiential-didactic STD/HIV training can modestly improve knowledge, clinical skills, and implementation of STD recommended practices 6 months after training. Further research is needed to identify the impact of improved clinical practices on STD/HIV transmission.

Assessment of training and technical assistance needs of Colorectal Cancer Control Program Grantees in the U.S.

PubMed

Escoffery, Cam; Hannon, Peggy; Maxwell, Annette E; Vu, Thuy; Leeman, Jennifer; Dwyer, Andrea; Mason, Caitlin; Sowles, Shaina; Rice, Ketra; Gressard, Lindsay

2015-01-31

Practitioners often require training and technical assistance to build their capacity to select, adapt, and implement evidence-based interventions (EBIs). The CDC Colorectal Cancer Control Program (CRCCP) aims to promote CRC screening to increase population-level screening. This study identified the training and technical assistance (TA) needs and preferences for training related to the implementation of EBIs among CRCCP grantees. Twenty-nine CRCCP grantees completed an online survey about their screening activities, training and technical assistance in 2012. They rated desire for training on various evidence-based strategies to increase cancer screening, evidence-based competencies, and program management topics. They also reported preferences for training formats and facilitators and barriers to trainings. Many CRCCP grantees expressed the need for training with regards to specific EBIs, especially system-level and provider-directed EBIs to promote CRC screening. Grantees rated these EBIs as more difficult to implement than client-oriented EBIs. Grantees also reported a moderate need for training regarding finding EBIs, assessing organizational capacity, implementing selected EBIs, and conducting process and outcome evaluations. Other desired training topics reported with higher frequency were partnership development and data collection/evaluation. Grantees preferred training formats that were interactive such as on-site trainings, webinars or expert consultants. Public health organizations need greater supports for adopting evidence-based interventions, working with organizational-level change, partnership development and data management. Future capacity building efforts for the adoption of EBIs should focus on systems or provider level interventions and key processes for health promotion and should be delivered in a variety of ways to assist local organizations in cancer prevention and control.

What are the barriers to implementation of cardiopulmonary resuscitation training in secondary schools? A qualitative study.

PubMed

Zinckernagel, Line; Malta Hansen, Carolina; Rod, Morten Hulvej; Folke, Fredrik; Torp-Pedersen, Christian; Tjørnhøj-Thomsen, Tine

2016-04-25

Cardiopulmonary resuscitation (CPR) training in schools is recommended to increase bystander CPR and thereby survival of out-of-hospital cardiac arrest, but despite mandating legislation, low rates of implementation have been observed in several countries, including Denmark. The purpose of the study was to explore barriers to implementation of CPR training in Danish secondary schools. A qualitative study based on individual interviews and focus groups with school leadership and teachers. Thematic analysis was used to identify regular patterns of meaning both within and across the interviews. 8 secondary schools in Denmark. Schools were selected using strategic sampling to reach maximum variation, including schools with/without recent experience in CPR training of students, public/private schools and schools near to and far from hospitals. The study population comprised 25 participants, 9 school leadership members and 16 teachers. School leadership and teachers considered it important for implementation and sustainability of CPR training that teachers conduct CPR training of students. However, they preferred external instructors to train students, unless teachers acquired the CPR skills which they considered were needed. They considered CPR training to differ substantially from other teaching subjects because it is a matter of life and death, and they therefore believed extraordinary skills were required for conducting the training. This was mainly rooted in their insecurity about their own CPR skills. CPR training kits seemed to lower expectations of skill requirements to conduct CPR training, but only among those who were familiar with such kits. To facilitate implementation of CPR training in schools, it is necessary to have clear guidelines regarding the required proficiency level to train students in CPR, to provide teachers with these skills, and to underscore that extensive skills are not required to provide CPR. Further, it is important to familiarise teachers with CPR training kits. 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/

Canputer Science and Technology: Introduction to Software Packages

DTIC Science & Technology

1984-04-01

Table 5 Sources of Software Packages.20 Table 6 Reference Services Matrix . 33 Table 7 Reference Matrix.40 LIST OF FIGURES Figure 1 Document...consideration should be given to the acquisition of appropriate software packages to replace or upgrade existing services and to provide services not...Consequently, there are many companies that produce only software packages, and are committed to providing training, service , and support. These vendors

Context-sensitive autoassociative memories as expert systems in medical diagnosis

PubMed Central

Pomi, Andrés; Olivera, Fernando

2006-01-01

Background The complexity of our contemporary medical practice has impelled the development of different decision-support aids based on artificial intelligence and neural networks. Distributed associative memories are neural network models that fit perfectly well to the vision of cognition emerging from current neurosciences. Methods We present the context-dependent autoassociative memory model. The sets of diseases and symptoms are mapped onto a pair of basis of orthogonal vectors. A matrix memory stores the associations between the signs and symptoms, and their corresponding diseases. A minimal numerical example is presented to show how to instruct the memory and how the system works. In order to provide a quick appreciation of the validity of the model and its potential clinical relevance we implemented an application with real data. A memory was trained with published data of neonates with suspected late-onset sepsis in a neonatal intensive care unit (NICU). A set of personal clinical observations was used as a test set to evaluate the capacity of the model to discriminate between septic and non-septic neonates on the basis of clinical and laboratory findings. Results We show here that matrix memory models with associations modulated by context can perform automatic medical diagnosis. The sequential availability of new information over time makes the system progress in a narrowing process that reduces the range of diagnostic possibilities. At each step the system provides a probabilistic map of the different possible diagnoses to that moment. The system can incorporate the clinical experience, building in that way a representative database of historical data that captures geo-demographical differences between patient populations. The trained model succeeds in diagnosing late-onset sepsis within the test set of infants in the NICU: sensitivity 100%; specificity 80%; percentage of true positives 91%; percentage of true negatives 100%; accuracy (true positives plus true negatives over the totality of patients) 93,3%; and Cohen's kappa index 0,84. Conclusion Context-dependent associative memories can operate as medical expert systems. The model is presented in a simple and tutorial way to encourage straightforward implementations by medical groups. An application with real data, presented as a primary evaluation of the validity and potentiality of the model in medical diagnosis, shows that the model is a highly promising alternative in the development of accuracy diagnostic tools. PMID:17121675

Implementation Training and Assistance for State and Local Air Agencies

EPA Pesticide Factsheets

Training courses, presentations, and other resources to help state and local air professionals learn more about NAAQS implementation, air pollution control and emissions reduction, SIP development, and public participation.

Application of SOJA and InforMatrix in practice: interactive web and workshop tools.

PubMed

Brenninkmeijer, Rob; Janknegt, Robert

2007-10-01

System of Objectified Judgement Analysis (SOJA) and InforMatrix are decision-matrix techniques designed to support a rational selection of drugs. Both SOJA and InforMatrix can be considered as strategic tools in the practical implementation of rational pharmacotherapy. In order to apply the matrix techniques to drug selection, strategic navigation through essential information (with the aim of reaching consensus in pharmacotherapy) is required. The consensus has to be reached in an interactive, communicative, collegial manner, within a professional environment. This environment is realised in the form of interactive applications in workshops and on the internet. Such interactive applications are illustrated and discussed in this article.

Matrix preconditioning: a robust operation for optical linear algebra processors.

PubMed

Ghosh, A; Paparao, P

1987-07-15

Analog electrooptical processors are best suited for applications demanding high computational throughput with tolerance for inaccuracies. Matrix preconditioning is one such application. Matrix preconditioning is a preprocessing step for reducing the condition number of a matrix and is used extensively with gradient algorithms for increasing the rate of convergence and improving the accuracy of the solution. In this paper, we describe a simple parallel algorithm for matrix preconditioning, which can be implemented efficiently on a pipelined optical linear algebra processor. From the results of our numerical experiments we show that the efficacy of the preconditioning algorithm is affected very little by the errors of the optical system.

Learning Technology Specification: Principles for Army Training Designers and Developers

DTIC Science & Technology

2013-09-01

immediate feedback is used, it’s best to present it in a complementary modality to decrease cognitive load: if a visual simulation, give feedback aurally ...audience listed above, read through each of the questions in the matrix, and circle the answer that best describes the training goals and learners . Then...answer that best describes the training goals and learners . Then, in the Summary Table below list all of the items in the Critical Learning

Feature selection from hyperspectral imaging for guava fruit defects detection

NASA Astrophysics Data System (ADS)

Mat Jafri, Mohd. Zubir; Tan, Sou Ching

2017-06-01

Development of technology makes hyperspectral imaging commonly used for defect detection. In this research, a hyperspectral imaging system was setup in lab to target for guava fruits defect detection. Guava fruit was selected as the object as to our knowledge, there is fewer attempts were made for guava defect detection based on hyperspectral imaging. The common fluorescent light source was used to represent the uncontrolled lighting condition in lab and analysis was carried out in a specific wavelength range due to inefficiency of this particular light source. Based on the data, the reflectance intensity of this specific setup could be categorized in two groups. Sequential feature selection with linear discriminant (LD) and quadratic discriminant (QD) function were used to select features that could potentially be used in defects detection. Besides the ordinary training method, training dataset in discriminant was separated in two to cater for the uncontrolled lighting condition. These two parts were separated based on the brighter and dimmer area. Four evaluation matrixes were evaluated which are LD with common training method, QD with common training method, LD with two part training method and QD with two part training method. These evaluation matrixes were evaluated using F1-score with total 48 defected areas. Experiment shown that F1-score of linear discriminant with the compensated method hitting 0.8 score, which is the highest score among all.

Educational Reform Implementation: A Co-Constructed Process. Research Report 5.

ERIC Educational Resources Information Center

Datnow, Amanda; Hubbard, Lea; Mehan, Hugh

This research report argues for viewing the complex, often messy process of school reform implementation as a "conditional matrix" coupled with qualitative research. As illustration, two studies (of six reform efforts in one county and of implementation of an untracking program in Kentucky) are reported. Preliminary analysis reveals that…

A web-based platform to support an evidence-based mental health intervention: lessons from the CBITS web site.

PubMed

Vona, Pamela; Wilmoth, Pete; Jaycox, Lisa H; McMillen, Janey S; Kataoka, Sheryl H; Wong, Marleen; DeRosier, Melissa E; Langley, Audra K; Kaufman, Joshua; Tang, Lingqi; Stein, Bradley D

2014-11-01

To explore the role of Web-based platforms in behavioral health, the study examined usage of a Web site for supporting training and implementation of an evidence-based intervention. Using data from an online registration survey and Google Analytics, the investigators examined user characteristics and Web site utilization. Site engagement was substantial across user groups. Visit duration differed by registrants' characteristics. Less experienced clinicians spent more time on the Web site. The training section accounted for most page views across user groups. Individuals previously trained in the Cognitive-Behavioral Intervention for Trauma in Schools intervention viewed more implementation assistance and online community pages than did other user groups. Web-based platforms have the potential to support training and implementation of evidence-based interventions for clinicians of varying levels of experience and may facilitate more rapid dissemination. Web-based platforms may be promising for trauma-related interventions, because training and implementation support should be readily available after a traumatic event.

The Training of Music Teachers in Colombia: A Descriptive Analysis

ERIC Educational Resources Information Center

Nayibe Cárdenas Soler, Ruth; Lorenzo Quiles, Oswaldo; Hargreaves, David J.

2015-01-01

This study is an evaluative analysis of 13 Music Education programs in Colombia that provide training for secondary school music teachers for 6th to 11th grade in the Colombian education system. The study utilized an analysis matrix from the International Research Project ALFA II-0448-A, which developed a similar study with Latin American and…

Microcomputers in Small Business Management. Leadership and Training Series No. 64.

ERIC Educational Resources Information Center

Heath, Betty; Camp, William G.

This guide is designed to assist vocational educators in training individuals at the secondary, postsecondary, and adult levels to use microcomputers in small business management. An overview of the use of microcomputers in the small business setting is provided in the introduction. Included in the next section is a multi-page matrix dealing with…

Implementing elements of evidence-based practice into scientist-practitioner training at the University of Nebraska-Lincoln.

PubMed

DiLillo, David; McChargue, Dennis

2007-07-01

Evidence-based practice (EBP) has become the predominant model of training and is emerging as a common model of practice for many non-psychology health care professions. Recognizing the relevance of EBP to psychology, the American Psychological Association (APA) developed and endorsed an official policy statement on EBP for the practice of professional psychology. There is now a pressing need to consider ways that EBP can inform scientist-practitioner training. The present article proposes clinical competencies associated with the practice of EBP, and describes initial efforts to implement elements of EBP into training at the University of Nebraska-Lincoln. These efforts have occurred in both the classroom and practicum training experiences, and are geared toward helping students become more effective users of the evidence base through their clinical work. Challenges to the implementation of EBP in clinical psychology training are discussed as well.

Cockpit resource management training at People Express

NASA Technical Reports Server (NTRS)

Bruce, Keith D.; Jensen, Doug

1987-01-01

In January 1986 in a continuing effort to maintain and improve flight safety and solve some Cockpit Resource Management (CRM) problems, People Express implemented a new CRM training program. It is a continuously running program, scheduled over the next three years and includes state-of-the-art full-mission simulation (LOFT), semi-annual seminar workshops and a comprehensive academic program authored by Robert W. Mudge of Cockpit Management Resources Inc. That program is outlined and to maximize its contribution to the workshop's goals, is organized into four topic areas: (1) Program content: the essential elements of resource management training; (2) Training methods: the strengths and weaknesses of current approaches; (3) Implementation: the implementation of CRM training; and (4) Effectiveness: the effectiveness of training. It is confined as much as possible to concise descriptions of the program's basic components. Brief discussions of rationale are included, however no attempt is made to discuss or review popular CRM tenets or the supporting research.

Impact of Video Self-Monitoring with Graduated Training on Implementation of Embedded Instructional Learning Trials

ERIC Educational Resources Information Center

Bishop, Crystal D.; Snyder, Patricia A.; Crow, Robert E.

2015-01-01

We used a multi-component single-subject experimental design across three preschool teachers to examine the effects of video self-monitoring with graduated training and feedback on the accuracy with which teachers monitored their implementation of embedded instructional learning trials. We also examined changes in teachers' implementation of…

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

PubMed

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

2016-01-01

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

Training in dissemination and implementation research: a field-wide perspective.

PubMed

Proctor, Enola K; Chambers, David A

2017-09-01

We report outcomes of an NIH-convened meeting on training for dissemination and implementation (D&I) research, focused on accelerating translation of research to healthcare practice. Participants included leaders of current trainings, center directors, and those trained in existing programs. Given the large proportion of D&I research focused on cancer control, mental health, and substance abuse, participants overwhelmingly reflected the experiences and challenges of gaining capacity in behavioral health-related D&I research. The 2-day meeting required participants to draw upon their experiences to help build a field-wide perspective for D&I research training, identify resources needed to support this perspective, and brainstorm gaps in training that needed to be filled. Questions were sent to participants in advance, and responses were synthesized and presented to discuss during the meeting. A preliminary "field-wide" perspective emerged, spanning multiple disciplines, training models, and career levels. Current programs face high demand, need for continued evolution to reflect field advances, and sustainability challenges. Current gaps include implementation practice and predoctoral training. Federal funding is key to D&I research training, be it through grants or agency-led training programs, in order to span and address specialized disease and disorder foci and career tracks.

Training transfer: a systematic review of the impact of inner setting factors.

PubMed

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

2018-06-19

Consistent with Baldwin and Ford's model (Pers Psychol 41(1):63-105, 1988), training transfer is defined as the generalization of learning from a training to everyday practice in the workplace. The purpose of this review was to examine the influence of work-environment factors, one component of the model hypothesized to influence training transfer within behavioral health. An electronic literature search guided by the Consolidated Framework for Implementation Research's inner setting domain was conducted was conducted on Medline OVID, Medline EMBASE, and PsycINFO databases. Of 9184 unique articles, 169 full-text versions of articles were screened for eligibility, yielding 26 articles meeting inclusion criteria. Results from the 26 studies revealed that overall, having more positive networks and communication, culture, implementation climate, and readiness for implementation can facilitate training transfer. Although few studies have examined the impact of inner setting factors on training transfer, these results suggest organizational context is important to consider with training efforts. These findings have important implications for individuals in the broader health professions educational field.

Recursive least-squares learning algorithms for neural networks

NASA Astrophysics Data System (ADS)

Lewis, Paul S.; Hwang, Jenq N.

1990-11-01

This paper presents the development of a pair of recursive least squares (ItLS) algorithms for online training of multilayer perceptrons which are a class of feedforward artificial neural networks. These algorithms incorporate second order information about the training error surface in order to achieve faster learning rates than are possible using first order gradient descent algorithms such as the generalized delta rule. A least squares formulation is derived from a linearization of the training error function. Individual training pattern errors are linearized about the network parameters that were in effect when the pattern was presented. This permits the recursive solution of the least squares approximation either via conventional RLS recursions or by recursive QR decomposition-based techniques. The computational complexity of the update is 0(N2) where N is the number of network parameters. This is due to the estimation of the N x N inverse Hessian matrix. Less computationally intensive approximations of the ilLS algorithms can be easily derived by using only block diagonal elements of this matrix thereby partitioning the learning into independent sets. A simulation example is presented in which a neural network is trained to approximate a two dimensional Gaussian bump. In this example RLS training required an order of magnitude fewer iterations on average (527) than did training with the generalized delta rule (6 1 BACKGROUND Artificial neural networks (ANNs) offer an interesting and potentially useful paradigm for signal processing and pattern recognition. The majority of ANN applications employ the feed-forward multilayer perceptron (MLP) network architecture in which network parameters are " trained" by a supervised learning algorithm employing the generalized delta rule (GDIt) [1 2]. The GDR algorithm approximates a fixed step steepest descent algorithm using derivatives computed by error backpropagatiori. The GDII algorithm is sometimes referred to as the backpropagation algorithm. However in this paper we will use the term backpropagation to refer only to the process of computing error derivatives. While multilayer perceptrons provide a very powerful nonlinear modeling capability GDR training can be very slow and inefficient. In linear adaptive filtering the analog of the GDR algorithm is the leastmean- squares (LMS) algorithm. Steepest descent-based algorithms such as GDR or LMS are first order because they use only first derivative or gradient information about the training error to be minimized. To speed up the training process second order algorithms may be employed that take advantage of second derivative or Hessian matrix information. Second order information can be incorporated into MLP training in different ways. In many applications especially in the area of pattern recognition the training set is finite. In these cases block learning can be applied using standard nonlinear optimization techniques [3 4 5].

Development, Implementation, and Evaluation of Leadership/Management Training Within Army Battalions: Volume I: Summary of Findings.

ERIC Educational Resources Information Center

Fry, John P.; Cliborn, Robert E.

The report describes the development and evaluation of an in-unit, leadership/management training program (based on experimental training methodology for providing Army leaders with behavioral skills and techniques) implemented within three battalion-sized combat units at Fort Bliss, Texas, in 1974. The program was organized around workshops…

Implementing Expertise-Based Training Methods to Accelerate the Development of Peer Academic Coaches

ERIC Educational Resources Information Center

Blair, Lisa

2016-01-01

The field of expertise studies offers several models from which to develop training programs that accelerate the development of novice performers in a variety of domains. This research study implemented two methods of expertise-based training in a course to develop undergraduate peer academic coaches through a ten-week program. An existing…

A Preliminary Evaluation of Instructional Effectiveness of Online Training Implemented at a Government Agency in Thailand

ERIC Educational Resources Information Center

Supanakorn-Davila, Supawan; Bolliger, Doris U.

2012-01-01

Online training has become popular in the professional development of government employees in Thailand. One large government agency developed an online program to provide training to its employees across the country using two systems: an Internet and Intranet-based system. With the new program implemented, the evaluation of the instructional…

Computing Fiber/Matrix Interfacial Effects In SiC/RBSN

NASA Technical Reports Server (NTRS)

Goldberg, Robert K.; Hopkins, Dale A.

1996-01-01

Computational study conducted to demonstrate use of boundary-element method in analyzing effects of fiber/matrix interface on elastic and thermal behaviors of representative laminated composite materials. In study, boundary-element method implemented by Boundary Element Solution Technology - Composite Modeling System (BEST-CMS) computer program.

45 CFR Appendix A to Subpart C of... - Security Standards: Matrix

Code of Federal Regulations, 2011 CFR

2011-10-01

... C of Part 164 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES ADMINISTRATIVE DATA STANDARDS... Protected Health Information Pt. 164, Subpt. C, App. A Appendix A to Subpart C of Part 164—Security Standards: Matrix Standards Sections Implementation Specifications (R)=Required, (A)=Addressable...

45 CFR Appendix A to Subpart C of... - Security Standards: Matrix

Code of Federal Regulations, 2010 CFR

2010-10-01

... C of Part 164 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES ADMINISTRATIVE DATA STANDARDS... Protected Health Information Pt. 164, Subpt. C, App. A Appendix A to Subpart C of Part 164—Security Standards: Matrix Standards Sections Implementation Specifications (R)=Required, (A)=Addressable...

A note on implementation of decaying product correlation structures for quasi-least squares.

PubMed

Shults, Justine; Guerra, Matthew W

2014-08-30

This note implements an unstructured decaying product matrix via the quasi-least squares approach for estimation of the correlation parameters in the framework of generalized estimating equations. The structure we consider is fairly general without requiring the large number of parameters that are involved in a fully unstructured matrix. It is straightforward to show that the quasi-least squares estimators of the correlation parameters yield feasible values for the unstructured decaying product structure. Furthermore, subject to conditions that are easily checked, the quasi-least squares estimators are valid for longitudinal Bernoulli data. We demonstrate implementation of the structure in a longitudinal clinical trial with both a continuous and binary outcome variable. Copyright © 2014 John Wiley & Sons, Ltd.

The multifacet graphically contracted function method. I. Formulation and implementation

NASA Astrophysics Data System (ADS)

Shepard, Ron; Gidofalvi, Gergely; Brozell, Scott R.

2014-08-01

The basic formulation for the multifacet generalization of the graphically contracted function (MFGCF) electronic structure method is presented. The analysis includes the discussion of linear dependency and redundancy of the arc factor parameters, the computation of reduced density matrices, Hamiltonian matrix construction, spin-density matrix construction, the computation of optimization gradients for single-state and state-averaged calculations, graphical wave function analysis, and the efficient computation of configuration state function and Slater determinant expansion coefficients. Timings are given for Hamiltonian matrix element and analytic optimization gradient computations for a range of model problems for full-CI Shavitt graphs, and it is observed that both the energy and the gradient computation scale as O(N2n4) for N electrons and n orbitals. The important arithmetic operations are within dense matrix-matrix product computational kernels, resulting in a computationally efficient procedure. An initial implementation of the method is used to present applications to several challenging chemical systems, including N2 dissociation, cubic H8 dissociation, the symmetric dissociation of H2O, and the insertion of Be into H2. The results are compared to the exact full-CI values and also to those of the previous single-facet GCF expansion form.

The multifacet graphically contracted function method. I. Formulation and implementation.

PubMed

Shepard, Ron; Gidofalvi, Gergely; Brozell, Scott R

2014-08-14

The basic formulation for the multifacet generalization of the graphically contracted function (MFGCF) electronic structure method is presented. The analysis includes the discussion of linear dependency and redundancy of the arc factor parameters, the computation of reduced density matrices, Hamiltonian matrix construction, spin-density matrix construction, the computation of optimization gradients for single-state and state-averaged calculations, graphical wave function analysis, and the efficient computation of configuration state function and Slater determinant expansion coefficients. Timings are given for Hamiltonian matrix element and analytic optimization gradient computations for a range of model problems for full-CI Shavitt graphs, and it is observed that both the energy and the gradient computation scale as O(N(2)n(4)) for N electrons and n orbitals. The important arithmetic operations are within dense matrix-matrix product computational kernels, resulting in a computationally efficient procedure. An initial implementation of the method is used to present applications to several challenging chemical systems, including N2 dissociation, cubic H8 dissociation, the symmetric dissociation of H2O, and the insertion of Be into H2. The results are compared to the exact full-CI values and also to those of the previous single-facet GCF expansion form.

Efficient parallel linear scaling construction of the density matrix for Born-Oppenheimer molecular dynamics.

PubMed

Mniszewski, S M; Cawkwell, M J; Wall, M E; Mohd-Yusof, J; Bock, N; Germann, T C; Niklasson, A M N

2015-10-13

We present an algorithm for the calculation of the density matrix that for insulators scales linearly with system size and parallelizes efficiently on multicore, shared memory platforms with small and controllable numerical errors. The algorithm is based on an implementation of the second-order spectral projection (SP2) algorithm [ Niklasson, A. M. N. Phys. Rev. B 2002 , 66 , 155115 ] in sparse matrix algebra with the ELLPACK-R data format. We illustrate the performance of the algorithm within self-consistent tight binding theory by total energy calculations of gas phase poly(ethylene) molecules and periodic liquid water systems containing up to 15,000 atoms on up to 16 CPU cores. We consider algorithm-specific performance aspects, such as local vs nonlocal memory access and the degree of matrix sparsity. Comparisons to sparse matrix algebra implementations using off-the-shelf libraries on multicore CPUs, graphics processing units (GPUs), and the Intel many integrated core (MIC) architecture are also presented. The accuracy and stability of the algorithm are illustrated with long duration Born-Oppenheimer molecular dynamics simulations of 1000 water molecules and a 303 atom Trp cage protein solvated by 2682 water molecules.

UB Matrix Implementation for Inelastic Neutron Scattering Experiments

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

Lumsden, Mark D; Robertson, Lee; Yethiraj, Mohana

The UB matrix approach has been extended to handle inelastic neutron scattering experiments with differing k{sub i} and k{sub f}. We have considered the typical goniometer employed on triple-axis and time-of-flight spectrometers. Expressions are derived to allow for calculation of the UB matrix and for converting from observables to Q-energy space. In addition, we have developed appropriate modes for calculation of angles for a specified Q-energy position.

Optical character recognition with feature extraction and associative memory matrix

NASA Astrophysics Data System (ADS)

Sasaki, Osami; Shibahara, Akihito; Suzuki, Takamasa

1998-06-01

A method is proposed in which handwritten characters are recognized using feature extraction and an associative memory matrix. In feature extraction, simple processes such as shifting and superimposing patterns are executed. A memory matrix is generated with singular value decomposition and by modifying small singular values. The method is optically implemented with two liquid crystal displays. Experimental results for the recognition of 25 handwritten alphabet characters clearly shows the effectiveness of the method.

Investigation and Implementation of Matrix Permanent Algorithms for Identity Resolution

DTIC Science & Technology

2014-12-01

calculation of the permanent of a matrix whose dimension is a function of target count [21]. However, the optimal approach for computing the permanent is...presently unclear. The primary objective of this project was to determine the optimal computing strategy(-ies) for the matrix permanent in tactical and...solving various combinatorial problems (see [16] for details and appli- cations to a wide variety of problems) and thus can be applied to compute a

Disseminating perinatal depression screening as a public health initiative: a train-the-trainer approach.

PubMed

Segre, Lisa S; Brock, Rebecca L; O'Hara, Michael W; Gorman, Laura L; Engeldinger, Jane

2011-08-01

This case report describes the development and implementation of the Train-the-Trainer: Maternal Depression Screening Program (TTT), a novel approach to disseminating perinatal depression screening. We trained screeners according to a standard pyramid scheme of train-the-trainer programs: three experts trained representatives from health care agencies (the TTT trainers), who in turn trained their staff and implemented depression screening at their home agencies. The TTT trainers had little or no prior mental health experience so "enhanced" components were added to ensure thorough instruction. Although TTT was implemented primarily as a services project, we evaluated both the statewide dissemination and the screening rates achieved by TTT programs. Thirty-two social service or health agencies implemented maternal depression screening in 20 counties throughout Iowa; this reached 58.2% of the Iowa population. For the 16 agencies that provided screening data, the average screening rate (number of women screened/number eligible to be screened) for the first 3 months of screening was 73.2%, 80.5% and 79.0%. We compared screening rates of our TTT programs with those of Healthy Start, a program in which screening was established via an intensive consultation model. We found the screening rates in 62.5% of TTT agencies were comparable to those in Healthy Start. Our "enhanced" train-the-trainer method is a promising approach for broadly implementing depression-screening programs in agencies serving pregnant and postpartum women.

Implementing a Primary Prevention Social Skills Intervention in Urban Preschools: Factors Associated with Quality and Fidelity

PubMed Central

Wenz-Gross, Melodie; Upshur, Carole

2012-01-01

Research Findings Preschool behavior problems are of increasing concern to early childhood educators. Preventive interventions are being developed, but implementation in under-resourced child care programs is challenging. This study describes the implementation of an adapted Second Step curriculum to increase children’s social skills and decrease behavior problems in preschool classrooms. Teacher training/coaching, organizational supports, and procedures for sustainability are described. Measures included baseline classroom characteristics, lesson completion and fidelity, and teacher satisfaction. Teachers completed 88% of the lessons across two years. Follow-up monitoring in Year 3, once all training was terminated, found 95% of lessons were delivered with higher fidelity than the first two years. Teachers were satisfied with training, felt the curriculum improved children’s social skills, and stated they would continue to use the curriculum. Lesson completion and fidelity were associated with various teacher characteristics, training attendance, classroom characteristics, teacher and child turnover, and the percent of children with developmental delays in the classroom. Practice Results support the implementation strategy and suggest that paying attention to teacher morale, general skill development, and a period of on-going support for training is important and will lead to sustainable and high implementation rates. PMID:22791957

Finite Element Implementation of Mechanochemical Phenomena in Neutral Deformable Porous Media Under Finite Deformation

PubMed Central

Ateshian, Gerard A.; Albro, Michael B.; Maas, Steve; Weiss, Jeffrey A.

2011-01-01

Biological soft tissues and cells may be subjected to mechanical as well as chemical (osmotic) loading under their natural physiological environment or various experimental conditions. The interaction of mechanical and chemical effects may be very significant under some of these conditions, yet the highly nonlinear nature of the set of governing equations describing these mechanisms poses a challenge for the modeling of such phenomena. This study formulated and implemented a finite element algorithm for analyzing mechanochemical events in neutral deformable porous media under finite deformation. The algorithm employed the framework of mixture theory to model the porous permeable solid matrix and interstitial fluid, where the fluid consists of a mixture of solvent and solute. A special emphasis was placed on solute-solid matrix interactions, such as solute exclusion from a fraction of the matrix pore space (solubility) and frictional momentum exchange that produces solute hindrance and pumping under certain dynamic loading conditions. The finite element formulation implemented full coupling of mechanical and chemical effects, providing a framework where material properties and response functions may depend on solid matrix strain as well as solute concentration. The implementation was validated using selected canonical problems for which analytical or alternative numerical solutions exist. This finite element code includes a number of unique features that enhance the modeling of mechanochemical phenomena in biological tissues. The code is available in the public domain, open source finite element program FEBio (http://mrl.sci.utah.edu/software). PMID:21950898

Evaluation of entropy and JM-distance criterions as features selection methods using spectral and spatial features derived from LANDSAT images

NASA Technical Reports Server (NTRS)

Parada, N. D. J. (Principal Investigator); Dutra, L. V.; Mascarenhas, N. D. A.; Mitsuo, Fernando Augusta, II

1984-01-01

A study area near Ribeirao Preto in Sao Paulo state was selected, with predominance in sugar cane. Eight features were extracted from the 4 original bands of LANDSAT image, using low-pass and high-pass filtering to obtain spatial features. There were 5 training sites in order to acquire the necessary parameters. Two groups of four channels were selected from 12 channels using JM-distance and entropy criterions. The number of selected channels was defined by physical restrictions of the image analyzer and computacional costs. The evaluation was performed by extracting the confusion matrix for training and tests areas, with a maximum likelihood classifier, and by defining performance indexes based on those matrixes for each group of channels. Results show that in spatial features and supervised classification, the entropy criterion is better in the sense that allows a more accurate and generalized definition of class signature. On the other hand, JM-distance criterion strongly reduces the misclassification within training areas.

Multi-threaded Sparse Matrix Sparse Matrix Multiplication for Many-Core and GPU Architectures.

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

Deveci, Mehmet; Trott, Christian Robert; Rajamanickam, Sivasankaran

Sparse Matrix-Matrix multiplication is a key kernel that has applications in several domains such as scientific computing and graph analysis. Several algorithms have been studied in the past for this foundational kernel. In this paper, we develop parallel algorithms for sparse matrix- matrix multiplication with a focus on performance portability across different high performance computing architectures. The performance of these algorithms depend on the data structures used in them. We compare different types of accumulators in these algorithms and demonstrate the performance difference between these data structures. Furthermore, we develop a meta-algorithm, kkSpGEMM, to choose the right algorithm and datamore » structure based on the characteristics of the problem. We show performance comparisons on three architectures and demonstrate the need for the community to develop two phase sparse matrix-matrix multiplication implementations for efficient reuse of the data structures involved.« less

Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures.

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

Deveci, Mehmet; Rajamanickam, Sivasankaran; Trott, Christian Robert

Sparse Matrix-Matrix multiplication is a key kernel that has applications in several domains such as scienti c computing and graph analysis. Several algorithms have been studied in the past for this foundational kernel. In this paper, we develop parallel algorithms for sparse matrix-matrix multiplication with a focus on performance portability across different high performance computing architectures. The performance of these algorithms depend on the data structures used in them. We compare different types of accumulators in these algorithms and demonstrate the performance difference between these data structures. Furthermore, we develop a meta-algorithm, kkSpGEMM, to choose the right algorithm and datamore » structure based on the characteristics of the problem. We show performance comparisons on three architectures and demonstrate the need for the community to develop two phase sparse matrix-matrix multiplication implementations for efficient reuse of the data structures involved.« less

A further evaluation of behavioral skills training for implementation of the picture exchange communication system.

PubMed

Homlitas, Christa; Rosales, Rocío; Candel, Lindsay

2014-01-01

We evaluated the effectiveness of a behavioral skills training package to teach implementation of Phases 1, 2, and 3A of the picture exchange communication system (PECS) to teachers employed at a therapeutic center for children with autism. Probes in the natural environment and follow-up were conducted with children who were assigned to work with the teachers in their own classrooms. Results provide additional support for the efficacy of behavioral skills training to teach implementation of PECS. © Society for the Experimental Analysis of Behavior.

Competencies and Training Guidelines for Behavioral Health Providers in Pediatric Primary Care.

PubMed

Njoroge, Wanjiku F M; Williamson, Ariel A; Mautone, Jennifer A; Robins, Paul M; Benton, Tami D

2017-10-01

This article focuses on the cross-discipline training competencies needed for preparing behavioral health providers to implement integrated primary care services. After a review of current competencies in the disciplines of child and adolescent psychiatry, psychology, and social work, cross-cutting competencies for integrated training purposes are identified. These competencies are comprehensive and broad and can be modified for use in varied settings and training programs. An existing and successful integrated care training model, currently implemented at Children's Hospital of Philadelphia, is described. This model and the training competencies are discussed in the context of recommendations for future work and training. Copyright © 2017 Elsevier Inc. All rights reserved.

Evaluation of a statewide dissemination and implementation of physical activity intervention in afterschool programs: a nonrandomized trial.

PubMed

Beets, Michael W; Glenn Weaver, R; Turner-McGrievy, Gabrielle; Saunders, Ruth P; Webster, Collin A; Moore, Justin B; Brazendale, Keith; Chandler, Jessica

2017-12-01

In 2015, YMCA-operated afterschool programs (ASPs) across South Carolina pledged to achieve the national standard that calls for every child to accumulate 30 min/day of moderate-to-vigorous physical activity (MVPA) during program time. This study shares the first-year findings related to the dissemination, implementation, and outcomes associated with the statewide intervention to achieve the MVPA Standard. Twenty ASPs were sampled from all YMCA-operated ASPs (N = 97) and visited at baseline (spring 2015) and first-year follow-up (spring 2016). Programs were provided standardized professional development training to increase the MVPA children accumulated while attending ASPs. The training focused on extending the scheduled time for activity opportunities and modifying commonly played games to increase MVPA. The RE-AIM framework was used to evaluate the statewide intervention. Accelerometer-derived MVPA was the primary outcome. Implementation was evaluated via direct observation. Intent-to-treat (ITT) and as-treated comparisons were conducted in summer 2016. Reach/adoption was variable, with attendance at trainings ranging from 0 to 100% across ASPs. Effectiveness of the intervention using ITT models indicated no changes from baseline in the percentage of programs meeting the MVPA standard for boys or girls. Implementation levels also varied and were related to increases in both boys' and girls' MVPA for moderate and high implementers. Findings indicate improvements in MVPA can be made from attending the trainings and implementing some or all of the training components. Additional work is necessary to identify ways to ensure staff attend trainings to implement strategies and to identify which specific factors contributed to increases in MVPA.

Model Guided Design and Development Process for an Electronic Health Record Training Program

PubMed Central

He, Ze; Marquard, Jenna; Henneman, Elizabeth

2016-01-01

Effective user training is important to ensure electronic health record (EHR) implementation success. Though many previous studies report best practice principles and success and failure stories, current EHR training is largely empirically-based and often lacks theoretical guidance. In addition, the process of training development is underemphasized and underreported. A white paper by the American Medical Informatics Association called for models of user training for clinical information system implementation; existing instructional development models from learning theory provide a basis to meet this call. We describe in this paper our experiences and lessons learned as we adapted several instructional development models to guide our development of EHR user training. Specifically, we focus on two key aspects of this training development: training content and training process. PMID:28269940

Optimization education after project implementation: sharing "lessons learned" with staff.

PubMed

Vaughn, Susan

2011-01-01

Implementations involving healthcare technology solutions focus on providing end-user education prior to the application going "live" in the organization. Benefits to postimplementation education for staff should be included when planning these projects. This author describes the traditional training provided during the implementation of a bar-coding medication project and then the optimization training 8 weeks later.

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

ERIC Educational Resources Information Center

Gray, Wayne D.

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

An Evaluation of a Parent Implemented in Situ Pedestrian Safety Skills Intervention for Individuals with Autism

ERIC Educational Resources Information Center

Harriage, Bethany; Blair, Kwang-Sun Cho; Miltenberger, Raymond

2016-01-01

This study evaluated an in situ pedestrian safety skills intervention for three individuals with autism, as implemented by their parents. Specifically, this study examined the utility of behavioral skills training (BST) in helping parents implement most-to-least prompting procedures in training their children to use pedestrian safety skills in…

An Integrated Forensics Approach To Fingerprint PCB Sources In Sediments Using RSC And ACF

EPA Science Inventory

Determing the original source of contamination to a heterogeneous matrix matrix such as sediment is a requirement for both clean-up and compliance programs. Identifying the source of sediment contaminants in industrial settings is a pre-requisite to implementing any proposed se...

82 FR 38764 - Wassenaar Arrangement 2016 Plenary Agreements Implementation

Federal Register 2010, 2011, 2012, 2013, 2014

2017-08-15

... `ceramic-``matrix'',' so as to control carbon fiber reinforced SiC matrix composites (C-SiC). These... Machines and Tow/Fiber Placement machines were accurately delineated at 1 inch, which is used in industry... manufacturing process. The formerly used phrase ``incorporating particles, whiskers or fibers'' did not...

Fast Geostatistical Inversion using Randomized Matrix Decompositions and Sketchings for Heterogeneous Aquifer Characterization

NASA Astrophysics Data System (ADS)

O'Malley, D.; Le, E. B.; Vesselinov, V. V.

2015-12-01

We present a fast, scalable, and highly-implementable stochastic inverse method for characterization of aquifer heterogeneity. The method utilizes recent advances in randomized matrix algebra and exploits the structure of the Quasi-Linear Geostatistical Approach (QLGA), without requiring a structured grid like Fast-Fourier Transform (FFT) methods. The QLGA framework is a more stable version of Gauss-Newton iterates for a large number of unknown model parameters, but provides unbiased estimates. The methods are matrix-free and do not require derivatives or adjoints, and are thus ideal for complex models and black-box implementation. We also incorporate randomized least-square solvers and data-reduction methods, which speed up computation and simulate missing data points. The new inverse methodology is coded in Julia and implemented in the MADS computational framework (http://mads.lanl.gov). Julia is an advanced high-level scientific programing language that allows for efficient memory management and utilization of high-performance computational resources. Inversion results based on series of synthetic problems with steady-state and transient calibration data are presented.

Numerical methods on some structured matrix algebra problems

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

Jessup, E.R.

1996-06-01

This proposal concerned the design, analysis, and implementation of serial and parallel algorithms for certain structured matrix algebra problems. It emphasized large order problems and so focused on methods that can be implemented efficiently on distributed-memory MIMD multiprocessors. Such machines supply the computing power and extensive memory demanded by the large order problems. We proposed to examine three classes of matrix algebra problems: the symmetric and nonsymmetric eigenvalue problems (especially the tridiagonal cases) and the solution of linear systems with specially structured coefficient matrices. As all of these are of practical interest, a major goal of this work was tomore » translate our research in linear algebra into useful tools for use by the computational scientists interested in these and related applications. Thus, in addition to software specific to the linear algebra problems, we proposed to produce a programming paradigm and library to aid in the design and implementation of programs for distributed-memory MIMD computers. We now report on our progress on each of the problems and on the programming tools.« less

Parallel halftoning technique using dot diffusion optimization

NASA Astrophysics Data System (ADS)

Molina-Garcia, Javier; Ponomaryov, Volodymyr I.; Reyes-Reyes, Rogelio; Cruz-Ramos, Clara

2017-05-01

In this paper, a novel approach for halftone images is proposed and implemented for images that are obtained by the Dot Diffusion (DD) method. Designed technique is based on an optimization of the so-called class matrix used in DD algorithm and it consists of generation new versions of class matrix, which has no baron and near-baron in order to minimize inconsistencies during the distribution of the error. Proposed class matrix has different properties and each is designed for two different applications: applications where the inverse-halftoning is necessary, and applications where this method is not required. The proposed method has been implemented in GPU (NVIDIA GeForce GTX 750 Ti), multicore processors (AMD FX(tm)-6300 Six-Core Processor and in Intel core i5-4200U), using CUDA and OpenCV over a PC with linux. Experimental results have shown that novel framework generates a good quality of the halftone images and the inverse halftone images obtained. The simulation results using parallel architectures have demonstrated the efficiency of the novel technique when it is implemented in real-time processing.

Incompressible SPH (ISPH) with fast Poisson solver on a GPU

NASA Astrophysics Data System (ADS)

Chow, Alex D.; Rogers, Benedict D.; Lind, Steven J.; Stansby, Peter K.

2018-05-01

This paper presents a fast incompressible SPH (ISPH) solver implemented to run entirely on a graphics processing unit (GPU) capable of simulating several millions of particles in three dimensions on a single GPU. The ISPH algorithm is implemented by converting the highly optimised open-source weakly-compressible SPH (WCSPH) code DualSPHysics to run ISPH on the GPU, combining it with the open-source linear algebra library ViennaCL for fast solutions of the pressure Poisson equation (PPE). Several challenges are addressed with this research: constructing a PPE matrix every timestep on the GPU for moving particles, optimising the limited GPU memory, and exploiting fast matrix solvers. The ISPH pressure projection algorithm is implemented as 4 separate stages, each with a particle sweep, including an algorithm for the population of the PPE matrix suitable for the GPU, and mixed precision storage methods. An accurate and robust ISPH boundary condition ideal for parallel processing is also established by adapting an existing WCSPH boundary condition for ISPH. A variety of validation cases are presented: an impulsively started plate, incompressible flow around a moving square in a box, and dambreaks (2-D and 3-D) which demonstrate the accuracy, flexibility, and speed of the methodology. Fragmentation of the free surface is shown to influence the performance of matrix preconditioners and therefore the PPE matrix solution time. The Jacobi preconditioner demonstrates robustness and reliability in the presence of fragmented flows. For a dambreak simulation, GPU speed ups demonstrate up to 10-18 times and 1.1-4.5 times compared to single-threaded and 16-threaded CPU run times respectively.

Application of Two-Dimensional AWE Algorithm in Training Multi-Dimensional Neural Network Model

DTIC Science & Technology

2003-07-01

hybrid scheme . the general neural network method (Table 3.1). The training process of the software- ACKNOWLEDGMENT "Neuralmodeler" is shown in Fig. 3.2...engineering. Artificial neural networks (ANNs) have emerged Training a neural network model is the key of as a powerful technique for modeling general neural...coefficients am, the derivatives method of moments (MoM). The variables in the of matrix I have to be generated . A closed form model are frequency

Strain Rate Dependent Deformation and Strength Modeling of a Polymer Matrix Composite Utilizing a Micromechanics Approach. Degree awarded by Cincinnati Univ.

NASA Technical Reports Server (NTRS)

Goldberg, Robert K.

1999-01-01

Potential gas turbine applications will expose polymer matrix composites to very high strain rate loading conditions, requiring an ability to understand and predict the material behavior under extreme conditions. Specifically, analytical methods designed for these applications must have the capability of properly capturing the strain rate sensitivities and nonlinearities that are present in the material response. The Ramaswamy-Stouffer constitutive equations, originally developed to analyze the viscoplastic deformation of metals, have been modified to simulate the nonlinear deformation response of ductile, crystalline polymers. The constitutive model is characterized and correlated for two representative ductile polymers. Fiberite 977-2 and PEEK, and the computed results correlate well with experimental values. The polymer constitutive equations are implemented in a mechanics of materials based composite micromechanics model to predict the nonlinear, rate dependent deformation response of a composite ply. Uniform stress and uniform strain assumptions are applied to compute the effective stresses of a composite unit cell from the applied strains. The micromechanics equations are successfully verified for two polymer matrix composites. IM7/977-2 and AS4/PEEK. The ultimate strength of a composite ply is predicted with the Hashin failure criteria that were implemented in the composite micromechanics model. The failure stresses of the two composite material systems are accurately predicted for a variety of fiber orientations and strain rates. The composite deformation model is implemented in LS-DYNA, a commercially available transient dynamic explicit finite element code. The matrix constitutive equations are converted into an incremental form, and the model is implemented into LS-DYNA through the use of a user defined material subroutine. The deformation response of a bulk polymer and a polymer matrix composite are predicted by finite element analyses. The results compare reasonably well to experimental values, with some discrepancies. The discrepancies are at least partially caused by the method used to integrate the rate equations in the polymer constitutive model.

Implementation Challenges for Ceramic Matrix Composites in High Temperature Applications

NASA Technical Reports Server (NTRS)

Singh, Mrityunjay

2004-01-01

Ceramic matrix composites are leading candidate materials for a number of applications in aeronautics, space, energy, electronics, nuclear, and transportation industries. In the aeronautics and space exploration systems, these materials are being considered for applications in hot sections of jet engines such as the combustor liner, nozzle components, nose cones, leading edges of reentry vehicles and space propulsion components. Applications in the energy and environmental industries include radiant heater tubes, heat exchangers, heat recuperators, gas and diesel particulate filters (DPFs), and components for land based turbines for power generation. These materials are also being considered for use in the first wall and blanket components of fusion reactors. There are a number of critical issues and challenges related to successful implementation of composite materials. Fabrication of net and complex shape components with high density and tailorable matrix properties is quite expensive, and even then various desirable properties are not achievable. In this presentation, microstructure and thermomechanical properties of composites fabricated by two techniques (chemical vapor infiltration and melt infiltration), will be presented. In addition, critical need for robust joining and assembly technologies in successful implementation of these systems will be discussed. Other implementation issues will be discussed along with advantages and benefits of using these materials for various components in high temperature applications.

[The two-year post graduate training program for nurses: implementation status and personal perspectives].

PubMed

Yin, Yu-Chun

2013-06-01

The Taiwan Joint Commission on Hospital Accreditation (TJCHA) authorized the Teaching Quality Improvement Program for Teaching Hospitals as a way for the Department of Health to plan and implement improvements. The program assists medical and paramedical professionals to establish a postgraduate clinical training system. The two-year postgraduate training program for nurses is one of the program's regular activities, divided into three phases that include location-based curriculum training (3 months), core curriculum training (9 months), and professional courses training (12 months). This paper describes the origin, current implementation status, and efficacy / key problems of this two-year post graduate training program, Information regarding the opinions of new nurses, preceptors, and nursing managers on the three aspects is drawn from the author's relevant professional experience, interactions with nurses, and a review of the literature. Findings include: (1) nursing departments should operate in accordance with TJCHA guidelines; (2) department training should be adequate to promote the ability and willingness of nurses to train a new generation of clinical preceptors; and (3) participant opinions on project execution progress and difficulties. Findings may be referenced to better achieve Teaching Quality Improvement Program for Teaching Hospital objectives.

The Design and Implementation of Teacher Training Programmes. Report on the Dunford House Seminar (England, United Kingdom, July 11-21, 1983).

ERIC Educational Resources Information Center

Holes, Clive, Ed.; And Others

Proceedings of a seminar on the design and implementation of training education programs for English-as-a-Second-Language (ESL) teachers are presented in the form of papers, presentations, and summary narrative. They include: the keynote address (Keith Morrow); "Participants' Views of Issues and Constraints in Teacher Training";…

The Implementation and Evaluation of Teacher Training in Gaming Instruction for Secondary Science: An Action Research Project

ERIC Educational Resources Information Center

Sanders, Veronica

2016-01-01

This study implemented and evaluated gaming instruction as a professional development for science teachers at a Georgia high school. It was guided by four research questions that (a) assessed the impact of training in gaming instruction and evaluation of that training on science teachers' ability to use games; (b) examined evidence showing that…

Implementation of an ergonomics intervention in a Swedish flight baggage handling company—A process evaluation

PubMed Central

Mathiassen, Svend Erik; Larsson, Johan; Kwak, Lydia

2018-01-01

Objective To conduct a process evaluation of the implementation of an ergonomics training program aimed at increasing the use of loading assist devices in flight baggage handling. Methods Feasibility related to the process items recruitment, reach, context, dose delivered (training time and content); dose received (participants’ engagement); satisfaction with training; intermediate outcomes (skills, confidence and behaviors); and barriers and facilitators of the training intervention were assessed by qualitative and quantitative methods. Results Implementation proved successful regarding dose delivered, dose received and satisfaction. Confidence among participants in the training program in using and talking about devices, observed use of devices among colleagues, and internal feedback on work behavior increased significantly (p<0.01). Main facilitators were self-efficacy, motivation, and perceived utility of training among the trainees. Barriers included lack of peer support, opportunities to observe and practice behaviors, and follow-up activities; as well as staff reduction and job insecurity. Conclusions In identifying important barriers and facilitators for a successful outcome, this study can help supporting the effectiveness of future interventions. Our results suggest that barriers caused by organizational changes may likely be alleviated by recruiting motivated trainees and securing strong organizational support for the implementation. PMID:29513671

Performance Comparison of a Matrix Solver on a Heterogeneous Network Using Two Implementations of MPI: MPICH and LAM

NASA Technical Reports Server (NTRS)

Phillips, Jennifer K.

1995-01-01

Two of the current and most popular implementations of the Message-Passing Standard, Message Passing Interface (MPI), were contrasted: MPICH by Argonne National Laboratory, and LAM by the Ohio Supercomputer Center at Ohio State University. A parallel skyline matrix solver was adapted to be run in a heterogeneous environment using MPI. The Message-Passing Interface Forum was held in May 1994 which lead to a specification of library functions that implement the message-passing model of parallel communication. LAM, which creates it's own environment, is more robust in a highly heterogeneous network. MPICH uses the environment native to the machine architecture. While neither of these free-ware implementations provides the performance of native message-passing or vendor's implementations, MPICH begins to approach that performance on the SP-2. The machines used in this study were: IBM RS6000, 3 Sun4, SGI, and the IBM SP-2. Each machine is unique and a few machines required specific modifications during the installation. When installed correctly, both implementations worked well with only minor problems.

Implementing instructions for KSC systems and safety training

NASA Technical Reports Server (NTRS)

1973-01-01

The requirements for the safety training program are reported for KSC including transportation, inspection, checkout operations, maintenance of launch vehicles, spacecraft, ground support equipment, and launch teams. The responsibilities and mechanics for implementing the program are outlined.

A solver for General Unilateral Polynomial Matrix Equation with Second-Order Matrices Over Prime Finite Fields

NASA Astrophysics Data System (ADS)

Burtyka, Filipp

2018-03-01

The paper firstly considers the problem of finding solvents for arbitrary unilateral polynomial matrix equations with second-order matrices over prime finite fields from the practical point of view: we implement the solver for this problem. The solver’s algorithm has two step: the first is finding solvents, having Jordan Normal Form (JNF), the second is finding solvents among the rest matrices. The first step reduces to the finding roots of usual polynomials over finite fields, the second is essentially exhaustive search. The first step’s algorithms essentially use the polynomial matrices theory. We estimate the practical duration of computations using our software implementation (for example that one can’t construct unilateral matrix polynomial over finite field, having any predefined number of solvents) and answer some theoretically-valued questions.

KSC management training system project

NASA Technical Reports Server (NTRS)

Sepulveda, Jose A.

1993-01-01

The stated objectives for the summer of 1993 were: to review the Individual Development Plan Surveys for 1994 in order to automate the analysis of the Needs Assessment effort; and to develop and implement evaluation methodologies to perform ongoing program-wide course-to-course assessment. This includes the following: to propose a methodology to develop and implement objective, performance-based assessment instruments for each training effort; to mechanize course evaluation forms and develop software to facilitate the data gathering, analysis, and reporting processes; and to implement the methodology, forms, and software in at lease one training course or seminar selected among those normally offered in the summer at KSC. Section two of this report addresses the work done in regard to the Individual Development Plan Surveys for 1994. Section three presents the methodology proposed to develop and implement objective, performance-based assessment instruments for each training course offered at KSC.

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations

PubMed Central

2012-01-01

Background Through the wealth of information contained within them, genome-wide association studies (GWAS) have the potential to provide researchers with a systematic means of associating genetic variants with a wide variety of disease phenotypes. Due to the limitations of approaches that have analyzed single variants one at a time, it has been proposed that the genetic basis of these disorders could be determined through detailed analysis of the genetic variants themselves and in conjunction with one another. The construction of models that account for these subsets of variants requires methodologies that generate predictions based on the total risk of a particular group of polymorphisms. However, due to the excessive number of variants, constructing these types of models has so far been computationally infeasible. Results We have implemented an algorithm, known as greedy RLS, that we use to perform the first known wrapper-based feature selection on the genome-wide level. The running time of greedy RLS grows linearly in the number of training examples, the number of features in the original data set, and the number of selected features. This speed is achieved through computational short-cuts based on matrix calculus. Since the memory consumption in present-day computers can form an even tighter bottleneck than running time, we also developed a space efficient variation of greedy RLS which trades running time for memory. These approaches are then compared to traditional wrapper-based feature selection implementations based on support vector machines (SVM) to reveal the relative speed-up and to assess the feasibility of the new algorithm. As a proof of concept, we apply greedy RLS to the Hypertension – UK National Blood Service WTCCC dataset and select the most predictive variants using 3-fold external cross-validation in less than 26 minutes on a high-end desktop. On this dataset, we also show that greedy RLS has a better classification performance on independent test data than a classifier trained using features selected by a statistical p-value-based filter, which is currently the most popular approach for constructing predictive models in GWAS. Conclusions Greedy RLS is the first known implementation of a machine learning based method with the capability to conduct a wrapper-based feature selection on an entire GWAS containing several thousand examples and over 400,000 variants. In our experiments, greedy RLS selected a highly predictive subset of genetic variants in a fraction of the time spent by wrapper-based selection methods used together with SVM classifiers. The proposed algorithms are freely available as part of the RLScore software library at http://users.utu.fi/aatapa/RLScore/. PMID:22551170

Staff Training Aspects of Circulation System Implementation.

ERIC Educational Resources Information Center

Juergens, Bonnie

1979-01-01

Presents program guidelines for training library staff in the operation and use of automated library circulation systems. Advice is given on the qualificatons of the training coordinator, levels of training, training and training aids, vendor responsibilities and time frame. (RAA)

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.

Management of Teaching Practice in the Preparation of Nigerian Certificate of Education (NCE) Teachers

ERIC Educational Resources Information Center

Asaya, Samuel Adetunji

2010-01-01

If the teacher must be "everything" to the learner as well as be the character-model to society, as it is commonly expected, his training must be such that is not only comprehensive but well articulated. Such training must be based on sound conceptual understanding and reasoning that have been developed within the matrix of practice and…

Application of the clinical matrix to the diagnosis of leukemia

NASA Astrophysics Data System (ADS)

Pakkala, Sampath Y.; Lin, Frank C.

1992-07-01

A system for diagnosing leukemia subtypes has been formulated using neural networks. The statistical data of the symptoms collected by hematologists is fed into a single training set using a neural network, where the network is trained by using fast backpropagation algorithm, which when done can help the general practitioners for making diagnoses on the basis of signs and symptoms alone.

Matrix scientist in a matrix organization

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

Shults, W.D.; Roseberry, L.M.

We believe that the current training in analytical chemistry is quite good considering the multitude of objectives and limitations involved. Eventually we will have to come to grips with the question, Do we want a liberal sciences degree that extends over four years and encompasses essentially diverse training in the sciences at the expense of nonscience courses, or do we want to move to a five year program wherein the undergraduate student gets both liberal arts and liberal sciences training. Our experience suggests that PhD-level students benefit markedly from formal training. We would suggest that seminars at all levels bemore » used to acquaint students with the basics and language of other scientific disciplines so that they, as professionals, will be better prepared to communicate with people in the other disciplines. We suggest that curricula retain the laboratory experience and emphasize chemistry by objective. Students mature when they are part of a project with an objective that he or she can relate to. They learn to see the whole problem and to choose the optimum way to approach it. This fosters professionalism. That's the bottom line. We all want curricula that produces well-rounded, competent professionals in analytical chemistry.« less

Statistical learning from nonrecurrent experience with discrete input variables and recursive-error-minimization equations

NASA Astrophysics Data System (ADS)

Carter, Jeffrey R.; Simon, Wayne E.

1990-08-01

Neural networks are trained using Recursive Error Minimization (REM) equations to perform statistical classification. Using REM equations with continuous input variables reduces the required number of training experiences by factors of one to two orders of magnitude over standard back propagation. Replacing the continuous input variables with discrete binary representations reduces the number of connections by a factor proportional to the number of variables reducing the required number of experiences by another order of magnitude. Undesirable effects of using recurrent experience to train neural networks for statistical classification problems are demonstrated and nonrecurrent experience used to avoid these undesirable effects. 1. THE 1-41 PROBLEM The statistical classification problem which we address is is that of assigning points in ddimensional space to one of two classes. The first class has a covariance matrix of I (the identity matrix) the covariance matrix of the second class is 41. For this reason the problem is known as the 1-41 problem. Both classes have equal probability of occurrence and samples from both classes may appear anywhere throughout the ddimensional space. Most samples near the origin of the coordinate system will be from the first class while most samples away from the origin will be from the second class. Since the two classes completely overlap it is impossible to have a classifier with zero error. The minimum possible error is known as the Bayes error and

Preparing pharmacists to deliver a targeted service in hypertension management: evaluation of an interprofessional training program.

PubMed

Bajorek, Beata V; Lemay, Kate S; Magin, Parker J; Roberts, Christopher; Krass, Ines; Armour, Carol L

2015-09-28

Non-adherence to medicines by patients and suboptimal prescribing by clinicians underpin poor blood pressure (BP) control in hypertension. In this study, a training program was designed to enable community pharmacists to deliver a service in hypertension management targeting therapeutic adjustments and medication adherence. A comprehensive evaluation of the training program was undertaken. Tailored training comprising a self-directed pre-work manual, practical workshop (using real patients), and practice scenarios, was developed and delivered by an inter-professional team (pharmacists, GPs). Supported by practical and written assessment, the training focused on the principles of BP management, BP measurement skills, and adherence strategies. Pharmacists' experience of the training (expectations, content, format, relevance) was evaluated quantitatively and qualitatively. Immediate feedback was obtained via a questionnaire comprising Likert scales (1 = "very well" to 7 = "poor") and open-ended questions. Further in-depth qualitative evaluation was undertaken via semi-structured interviews several months post-training (and post service implementation). Seventeen pharmacists were recruited, trained and assessed as competent. All were highly satisfied with the training; other than the 'amount of information provided' (median score = 5, "just right"), all aspects of training attained the most positive score of '1'. Pharmacists most valued the integrated team-based approach, GP involvement, and inclusion of real patients, as well as the pre-reading manual, BP measurement workshop, and case studies (simulation). Post-implementation the interviews highlighted that comprehensive training increased pharmacists' confidence in providing the service, however, training of other pharmacy staff and patient recruitment strategies were highlighted as a need in future. Structured, multi-modal training involving simulated and inter-professional learning is effective in preparing selected community pharmacists for the implementation of new services in the context of hypertension management. This training could be further enhanced to prepare pharmacists for the challenges encountered in implementing and evaluating services in practice.

Factors influencing the implementation, adoption, use, sustainability and scalability of eLearning for family medicine specialty training: a systematic review protocol.

PubMed

Cotič, Živa; Rees, Rebecca; Wark, Petra A; Car, Josip

2016-10-19

In 2013, there was a shortage of approximately 7.2 million health workers worldwide, which is larger among family physicians than among specialists. eLearning could provide a potential solution to some of these global workforce challenges. However, there is little evidence on factors facilitating or hindering implementation, adoption, use, scalability and sustainability of eLearning. This review aims to synthesise results from qualitative and mixed methods studies to provide insight on factors influencing implementation of eLearning for family medicine specialty education and training. Additionally, this review aims to identify the actions needed to increase effectiveness of eLearning and identify the strategies required to improve eLearning implementation, adoption, use, sustainability and scalability for family medicine speciality education and training. A systematic search will be conducted across a range of databases for qualitative studies focusing on experiences, barriers, facilitators, and other factors related to the implementation, adoption, use, sustainability and scalability of eLearning for family medicine specialty education and training. Studies will be synthesised by using the framework analysis approach. This study will contribute to the evaluation of eLearning implementation, adoption, use, sustainability and scalability for family medicine specialty training and education and the development of eLearning guidelines for postgraduate medical education. PROSPERO http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42016036449.

Teacher decision-making in implementing a new environmental education curriculum: A qualitative study

NASA Astrophysics Data System (ADS)

Winther, Austin A.

This was a qualitative study of teacher decision-making during the first year of implementation of a new environmental education curriculum. Eight teachers were included in the study: three high school teachers, two middle school teachers and three elementary teachers. These teachers received summer training in the program, and were chosen at random from those who volunteered for the study. The teachers were interviewed at the close of training, at midyear during implementation, and during the spring. In addition to interview data other data sources were used to verify findings. These additional sources included interviews with high school students, visits to all the schools, examination of teacher prepared and student prepared materials, informal discussions with teacher peers at the schools, and implementation reports from the teachers. Among the factors examined were teachers' perceptions of training, teachers' perceptions of administrative and peer support, and the manner in which the program was implemented in each classroom. It was found that support from administrative and peer was important, but that neither of these were as critical as might have been expected. Administrators were perceived as supporting the program because the program helped to facilitate goals that had already been established in the school. Peer support was social and largely passive. Participants perceived that neither administrators nor peers really understand how the program worked. Participants initially found the training difficult and confusing. As they continued training and implementation some participants found that the program was substantially different from what they were accustomed to doing in their classrooms. Some participants were reluctant to implement the program, either implementing the program late in the year, or limiting implementation in some way. Others implemented the program fully, and were extremely enthusiastic about what their students were doing and learning. The researcher found that teachers' perceptions of training, administrative and peer support, and of the program itself stemmed from cognitive changes that the program stimulated. Comments from all of the teachers reflected reactions to these changes. Some teachers resisted the changes, while others enjoyed the process. Both programmatic and research recommendations were made.

Simple Approach to Renormalize the Cabibbo-Kobayashi-Maskawa Matrix

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

Kniehl, Bernd A.; Sirlin, Alberto

2006-12-01

We present an on-shell scheme to renormalize the Cabibbo-Kobayashi-Maskawa (CKM) matrix. It is based on a novel procedure to separate the external-leg mixing corrections into gauge-independent self-mass and gauge-dependent wave function renormalization contributions, and to implement the on-shell renormalization of the former with nondiagonal mass counterterm matrices. Diagonalization of the complete mass matrix leads to an explicit CKM counterterm matrix, which automatically satisfies all the following important properties: it is gauge independent, preserves unitarity, and leads to renormalized amplitudes that are nonsingular in the limit in which any two fermions become mass degenerate.

Using Strassen's algorithm to accelerate the solution of linear systems

NASA Technical Reports Server (NTRS)

Bailey, David H.; Lee, King; Simon, Horst D.

1990-01-01

Strassen's algorithm for fast matrix-matrix multiplication has been implemented for matrices of arbitrary shapes on the CRAY-2 and CRAY Y-MP supercomputers. Several techniques have been used to reduce the scratch space requirement for this algorithm while simultaneously preserving a high level of performance. When the resulting Strassen-based matrix multiply routine is combined with some routines from the new LAPACK library, LU decomposition can be performed with rates significantly higher than those achieved by conventional means. We succeeded in factoring a 2048 x 2048 matrix on the CRAY Y-MP at a rate equivalent to 325 MFLOPS.

Implementation of the Emergency Veterans' Job Training Act of 1983. Hearing before the Subcommittee on Education, Training, and Employment of the Committee on Veterans' Affairs, House of Representatives, Ninety-Ninth Congress, First Session. Serial No. 99-2.

ERIC Educational Resources Information Center

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

This congressional hearing evaluates at the grassroots level the administration and effectiveness of laws enacted by Congress to assist veterans in obtaining job training and employment. Particular emphasis is placed on the implementation of the Emergency Veterans' Job Training Act of 1983, Public Law 98-77. Testimony includes statements from a…

Engagement in Training as a Mechanism to Understanding Fidelity of Implementation of the Responsive Classroom Approach.

PubMed

Wanless, Shannon B; Rimm-Kaufman, Sara E; Abry, Tashia; Larsen, Ross A; Patton, Christine L

2015-11-01

Fidelity of implementation of classroom interventions varies greatly, a reality that is concerning because higher fidelity of implementation relates to greater effectiveness of the intervention. We analyzed 126 fourth and fifth grade teachers from the treatment group of a randomized controlled trial of the Responsive Classroom® (RC) approach. Prior to training in the intervention, we assessed factors that had the potential to represent a teacher's readiness to implement with fidelity. These included teachers' observed emotional support, teacher-rated use of intervention practices, teacher-rated self-efficacy, teacher-rated collective responsibility, education level, and years of experience, and they were not directly related to observed fidelity of implementation 2 years later. Further analyses indicated, however, that RC trainers' ratings of teachers' engagement in the initial weeklong RC training mediated the relation between initial observed emotional support and later observed fidelity of implementation. We discuss these findings as a way to advance understanding of teachers' readiness to implement new interventions with fidelity.

Illustrating the multiple facets and levels of fidelity of implementation to a teacher classroom management intervention.

PubMed

Reinke, Wendy M; Herman, Keith C; Stormont, Melissa; Newcomer, Lori; David, Kimberly

2013-11-01

Many school-based interventions to promote student mental health rely on teachers as implementers. Thus, understanding the interplay between the multiple domains of fidelity to the intervention and intervention support systems such as coaching and teacher implementation of new skills is an important aspect of implementation science. This study describes a systematic process for assessing multiple domains of fidelity. Data from a larger efficacy trial of the Incredible Years Teacher Classroom Management (IY TCM) program are utilized. Data on fidelity to the IY TCM workshop training sessions and onsite weekly coaching indicate that workshop leaders and the IY TCM coach implemented the training and coaching model with adequate adherence. Further, workshop leaders' ratings of engagement were associated with teacher implementation of specific praise, following training on this content. Lastly, the IY TCM coach differentiation of teacher exposure to coaching was evaluated and found to be associated with teacher implementation of classroom management practices and student disruptive behavior.

Exact solution of some linear matrix equations using algebraic methods

NASA Technical Reports Server (NTRS)

Djaferis, T. E.; Mitter, S. K.

1979-01-01

Algebraic methods are used to construct the exact solution P of the linear matrix equation PA + BP = - C, where A, B, and C are matrices with real entries. The emphasis of this equation is on the use of finite algebraic procedures which are easily implemented on a digital computer and which lead to an explicit solution to the problem. The paper is divided into six sections which include the proof of the basic lemma, the Liapunov equation, and the computer implementation for the rational, integer and modular algorithms. Two numerical examples are given and the entire calculation process is depicted.

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

PubMed

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

2015-01-01

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

[Malfunction simulation by spaceflight training simulator].

PubMed

Chang, Tian-chun; Zhang, Lian-hua; Xue, Liang; Lian, Shun-guo

2005-04-01

To implement malfunction simulation in spaceflight training simulator. The principle of malfunction simulation was defined according to spacecraft malfunction predict and its countermeasures. The malfunction patterns were classified, and malfunction type was confirmed. A malfunction simulation model was established, and the malfunction simulation was realized by math simulation. According to the requirement of astronaut training, a spacecraft subsystem malfunction simulation model was established and realized, such as environment control and life support, GNC, push, power supply, heat control, data management, measure control and communication, structure and so on. The malfunction simulation function implemented in the spaceflight training simulator satisfied the requirements for astronaut training.

Improving occupational physicians' adherence to a practice guideline: feasibility and impact of a tailored implementation strategy.

PubMed

Joosen, Margot C W; van Beurden, Karlijn M; Terluin, Berend; van Weeghel, Jaap; Brouwers, Evelien P M; van der Klink, Jac J L

2015-04-24

Although practice guidelines are important tools to improve quality of care, implementation remains challenging. To improve adherence to an evidence-based guideline for the management of mental health problems, we developed a tailored implementation strategy targeting barriers perceived by occupational physicians (OPs). Feasibility and impact on OPs' barriers were evaluated. OPs received 8 training-sessions in small peer-learning groups, aimed at discussing the content of the guideline and their perceived barriers to adhere to guideline recommendations; finding solutions to overcome these barriers; and implementing solutions in practice. The training had a plan-do-check-act (PDCA) structure and was guided by a trainer. Protocol compliance and OPs' experiences were qualitatively and quantitatively assessed. Using a questionnaire, impact on knowledge, attitude, and external barriers to guideline adherence was investigated before and after the training. The training protocol was successfully conducted; guideline recommendations and related barriers were discussed with peers, (innovative) solutions were found and implemented in practice. The participating 32 OPs were divided into 6 groups and all OPs attended 8 sessions. Of the OPs, 90% agreed that the peer-learning groups and the meetings spread over one year were highly effective training components. Significant improvements (p < .05) were found in knowledge, self-efficacy, motivation to use the guideline and its applicability to individual patients. After the training, OPs did not perceive any barriers related to knowledge and self-efficacy. Perceived adherence increased from 48.8% to 96.8% (p < .01). The results imply that an implementation strategy focusing on perceived barriers and tailor-made implementation interventions is a feasible method to enhance guideline adherence. Moreover, the strategy contributed to OPs' knowledge, attitudes, and skills in using the guideline. As a generic approach to overcome barriers perceived in specific situations, this strategy provides a useful method to guideline implementation for other health care professionals too.

Matrix management: not a structure, a frame of mind.

PubMed

Barlett, C A; Ghoshal, S

1990-01-01

In many of the world's leading corporations, strategic thinking has outdistanced organizational capability. As business challenges have grown more complex over the past 20 years, most companies have avoided the trap of one-dimensional strategic responses-stick to your knitting, stick to the big markets. But many of them have fallen into a second, structural trap and adopted elaborate organizational matrices that actually impair their ability to implement sophisticated strategies. Keeping a company light on its feet strategically while still coordinating its activities across divisions, functions, even continents, means eliminating parochialism, improving communications, and weaving the decision-making process into the company's social fabric. Altering formal structure from the top down is a poor way to achieve these goals. It is easier to work from the bottom up, focusing on the attitudes and behavior of individual managers. The companies that have made best use of this focus-among them NEC, Philips, and Unilever-employ three techniques to capture the capabilities and commitment of each manager: 1. They communicate a clear, consistent corporate vision. 2. They use training and career-path management to broaden individual perspectives and increase identification with corporate goals. 3. They co-opt individual energies and ambitions into the broader corporate-wide agenda. The goal is to build a matrix of corporate values and priorities in the minds of managers and let them make the judgments and negotiate the deals that make strategy pay off.

[The speech audiometry using the matrix sentence test].

PubMed

Boboshko, M Yu; Zhilinskaia, E V; Warzybok, A; Maltseva, N V; Zokoll, M; Kollmeier, B

The matrix sentence test in which the five-word semantically unpredictable sentences presented under the background noise conditions are used as the speech material was designed and validated for many languages. The objective of the present study was to evaluate the Russian version of the matrix sentence test (RuMatrix test) in the listeners of different ages with normal hearing. At the first stage of the study, 35 listeners at the age from 18 to 33 year were examined. The results of the estimation of the training effect dictated the necessity of conducting two training tracks before carrying out the RuMatrix test proper. The signal-to-noise ratio at which 50% speech recognition (SRT50) was obtained was found to be -8.8±0.8 dB SNR. A significant effect of exposure to the background noise was demonstrated: the noise level of 80 and 75 Db SPL led to a considerably lower intelligibility than the noise levels in the range from 45 to 70 dB SPL; in the subsequent studies, the noise level of 65 dB SPL was used. The high test-retest reliability of the RuMatrix test was proved. At the second stage of the study, 20 young (20-40 year old) listeners and 20 aged (62-74 year old) ones were examined. The mean SRT50 in the aged patients was found to be -6.9±1.1 dB SNR which was much worse than the mean STR50 in the young subjects (-8.7±0.9 dB SNR). It is concluded that, bearing in mind the excellent comparability of the results of the RUMat rix test across different languages, it can be used as a universal tool in international research projects.

Implementation of biological tissue Mueller matrix for polarization-sensitive optical coherence tomography based on LabVIEW

NASA Astrophysics Data System (ADS)

Lin, Yongping; Zhang, Xiyang; He, Youwu; Cai, Jianyong; Li, Hui

2018-02-01

The Jones matrix and the Mueller matrix are main tools to study polarization devices. The Mueller matrix can also be used for biological tissue research to get complete tissue properties, while the commercial optical coherence tomography system does not give relevant analysis function. Based on the LabVIEW, a near real time display method of Mueller matrix image of biological tissue is developed and it gives the corresponding phase retardant image simultaneously. A quarter-wave plate was placed at 45 in the sample arm. Experimental results of the two orthogonal channels show that the phase retardance based on incident light vector fixed mode and the Mueller matrix based on incident light vector dynamic mode can provide an effective analysis method of the existing system.

Metal matrix composite micromechanics: In-situ behavior influence on composite properties

NASA Technical Reports Server (NTRS)

Murthy, P. L. N.; Hopkins, D. A.; Chamis, C. C.

1989-01-01

Recent efforts in computational mechanics methods for simulating the nonlinear behavior of metal matrix composites have culminated in the implementation of the Metal Matrix Composite Analyzer (METCAN) computer code. In METCAN material nonlinearity is treated at the constituent (fiber, matrix, and interphase) level where the current material model describes a time-temperature-stress dependency of the constituent properties in a material behavior space. The composite properties are synthesized from the constituent instantaneous properties by virtue of composite micromechanics and macromechanics models. The behavior of metal matrix composites depends on fabrication process variables, in situ fiber and matrix properties, bonding between the fiber and matrix, and/or the properties of an interphase between the fiber and matrix. Specifically, the influence of in situ matrix strength and the interphase degradation on the unidirectional composite stress-strain behavior is examined. These types of studies provide insight into micromechanical behavior that may be helpful in resolving discrepancies between experimentally observed composite behavior and predicted response.

Database System Design and Implementation for Marine Air-Traffic-Controller Training

DTIC Science & Technology

2017-06-01

NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS Approved for public release. Distribution is unlimited. DATABASE SYSTEM DESIGN AND...thesis 4. TITLE AND SUBTITLE DATABASE SYSTEM DESIGN AND IMPLEMENTATION FOR MARINE AIR-TRAFFIC-CONTROLLER TRAINING 5. FUNDING NUMBERS 6. AUTHOR(S...12b. DISTRIBUTION CODE 13. ABSTRACT (maximum 200 words) This project focused on the design , development, and implementation of a centralized

Parent-Implemented Mand Training: Acquisition of Framed Manding in a Young Boy with Partial Hemispherectomy

ERIC Educational Resources Information Center

Ingvarsson, Einar T.

2011-01-01

This study examined the effects of parent-implemented mand training on the acquisition of framed manding in a 4-year-old boy who had undergone partial hemispherectomy. Framed manding became the predominant mand form when and only when the intervention was implemented with each preferred toy, but minimal generalization to untrained toys …

Understanding Policy Intentions Is Critical for Successful Policy Implementation within the Technical and Vocational Education and Training College's Sector

ERIC Educational Resources Information Center

Sebele, Ntlantla

2015-01-01

Public policy implementation is frequently regarded as problematic globally and reasons for these vary. In particular, the Technical and Vocational Education and Training (TVET) sector has been criticized for lack of delivery and most of the criticism is directed towards the non-implementation of government policy. In South Africa managers of TVET…

Inter-professional in-situ simulated team and resuscitation training for patient safety: Description and impact of a programmatic approach.

PubMed

Zimmermann, Katja; Holzinger, Iris Bachmann; Ganassi, Lorena; Esslinger, Peter; Pilgrim, Sina; Allen, Meredith; Burmester, Margarita; Stocker, Martin

2015-10-29

Inter-professional teamwork is key for patient safety and team training is an effective strategy to improve patient outcome. In-situ simulation is a relatively new strategy with emerging efficacy, but best practices for the design, delivery and implementation have yet to be evaluated. Our aim is to describe and evaluate the implementation of an inter-professional in-situ simulated team and resuscitation training in a teaching hospital with a programmatic approach. We designed and implemented a team and resuscitation training program according to Kern's six steps approach for curriculum development. General and specific needs assessments were conducted as independent cross-sectional surveys. Teamwork, technical skills and detection of latent safety threats were defined as specific objectives. Inter-professional in-situ simulation was used as educational strategy. The training was embedded within the workdays of participants and implemented in our highest acuity wards (emergency department, intensive care unit, intermediate care unit). Self-perceived impact and self-efficacy were sampled with an anonymous evaluation questionnaire after every simulated training session. Assessment of team performance was done with the team-based self-assessment tool TeamMonitor applying Van der Vleuten's conceptual framework of longitudinal evaluation after experienced real events. Latent safety threats were reported during training sessions and after experienced real events. The general and specific needs assessments clearly identified the problems, revealed specific training needs and assisted with stakeholder engagement. Ninety-five interdisciplinary staff members of the Children's Hospital participated in 20 in-situ simulated training sessions within 2 years. Participant feedback showed a high effect and acceptance of training with reference to self-perceived impact and self-efficacy. Thirty-five team members experiencing 8 real critical events assessed team performance with TeamMonitor. Team performance assessment with TeamMonitor was feasible and identified specific areas to target future team training sessions. Training sessions as well as experienced real events revealed important latent safety threats that directed system changes. The programmatic approach of Kern's six steps for curriculum development helped to overcome barriers of design, implementation and assessment of an in-situ team and resuscitation training program. This approach may help improve effectiveness and impact of an in-situ simulated training program.

Train-the-trainer: implementation of cognitive behavioural guided self-help for recurrent binge eating in a naturalistic setting.

PubMed

Zandberg, Laurie J; Wilson, G Terence

2013-05-01

The present study evaluated the feasibility and acceptability of cognitive behavioural guided self-help (CBTgsh) for recurrent binge eating using the train-the-trainer implementation strategy. After receiving expert-led training in CBTgsh, a master's-level graduate student in clinical psychology subsequently trained and supervised less experienced graduate students to implement the treatment in an open clinical trial. Participants were 38 treatment-seeking students at a university counselling centre with recurrent binge eating, featuring cases of bulimia nervosa, binge eating disorder, or eating disorder not otherwise specified. Intent-to-treat (ITT) analyses revealed 42.1% abstinence from binge eating at post-treatment and 47.4% at one-month follow-up. Participants reported significant pretreatment to post-treatment reductions on measures of specific eating disorder psychopathology, general psychopathology, and functional impairment and high levels of treatment acceptability. These results provide 'proof-of-concept' for the train-the-trainer implementation strategy and add to the evidence supporting the feasibility and effectiveness of CBTgsh in routine clinical care. Copyright © 2012 John Wiley & Sons, Ltd and Eating Disorders Association.

Academic Leadership: Management of Groups or Leadership of Teams? A Multiple-Case Study on Designing and Implementing a Team-Based Development Programme for Academic Leadership

ERIC Educational Resources Information Center

Söderhjelm, Teresa; Björklund, Christina; Sandahl, Christer; Bolander-Laksov, Klara

2018-01-01

Demands on academic leadership are increasing, which raises the need for leadership training. This article describes development and implementation of a group training intervention in academic leadership at a departmental level. Little systematic research has addressed the question of what forms of leadership training are associated with…

Exploring Effects of Organizational Culture upon Implementation of Information Security Awareness and Training Programs within the Defense Industry Located in the Tennessee Valley Region

ERIC Educational Resources Information Center

Grant, Robert Luther

2017-01-01

Data breaches due to social engineering attacks and employee negligence are on the rise. The only known defense against social engineering attacks and employee negligence is information security awareness and training. However, implementation of awareness and training programs within organizations are lagging in priority. This research used the…

A Comparison of Staff Training Methods for Effective Implementation of Discrete Trial Teaching for Learners with Developmental Disabilities

ERIC Educational Resources Information Center

Geiger, Kaneen Barbara

2012-01-01

Discrete trial teaching is an effective procedure for teaching a variety of skills to children with autism. However, it must be implemented with high integrity to produce optimal learning. Behavioral Skills Training (BST) is a staff training procedure that has been demonstrated to be effective. However, BST is time and labor intensive, and with…

Effects of Mother-Implemented Picture Exchange Communication System (PECS) Training on Independent Communicative Behaviors of Young Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Park, Ju Hee; Alber-Morgan, Sheila R.; Cannella-Malone, Helen

2011-01-01

This study examined the effects of mother-implemented Picture Exchange Communication System (PECS) training on the independent communication of three young children with autism spectrum disorders. Three mothers were trained to teach their child PECS Phases 1 through 3B, which they did with high integrity. Moreover, all three children successfully…

Assessing the relevance, efficiency, and sustainability of HIV/AIDS in-service training in Nigeria.

PubMed

Burlew, Randi; Puckett, Amanda; Bailey, Rebecca; Caffrey, Margaret; Brantley, Stephanie

2014-04-17

More than three million people in Nigeria are living with HIV/AIDS. In order to reduce the HIV/AIDS burden in Nigeria, the US Government (USG) has dedicated significant resources to combating the epidemic through the President's Emergency Plan for AIDS Relief (PEPFAR). In-service training (IST) of health workers is one of the most commonly used strategies to improve the quality and coverage of HIV/AIDS services. At USAID/Nigeria's request, the USAID-funded CapacityPlus project conducted an assessment of PEPFAR-funded IST for all cadres of health workers in Nigeria. Using the IST Improvement Framework, developed by the USAID Applying Sciences to Strengthen and Improve Systems Project (ASSIST), as a guide, the authors developed a survey tool to assess the efficiency, effectiveness and sustainability of IST provided between January 2007 and July 2012 by PEPFAR-funded implementing partners in Nigeria. The instrument was adapted to the Nigerian context and refined through a stakeholder engagement process. It was then distributed via an online platform to more than 50 PEPFAR-funded implementing partners who provided IST in Nigeria. A total of 39 implementing partners completed the survey. Our survey found that PEPFAR implementing partners have been providing a wide range of IST to a diverse group of health workers in Nigeria since 2007. Most trainings are developed using national curricula, manuals and/or other standard operating procedures. Many of the partners are conducting Training Needs Assessments to inform the planning, design and development of their training programs. However, the assessment also pointed to a number of recommendations to increase the efficiency, effectiveness and sustainability of PEPFAR-funded IST. These actions are as follows: improve collaboration and coordination among implementing partners; apply a more diverse and cost-effective set of training modalities; allocate funding specifically for the evaluation of the effectiveness of training; improve links between IST and both continuing professional development and pre-service education; require implementing partners to create sustainability plans to transition training from PEPFAR funding to other funding sources; and develop a training information management system to track key aspects of IST, such as the number and types of providers, courses, and participants of PEPFAR-funded IST.

Investigating the Phenomenological Matrix of Mindfulness-related Practices from a Neurocognitive Perspective

PubMed Central

Lutz, Antoine; Jha, Amishi P.; Dunne, John D.; Saron, Clifford D.

2015-01-01

There has been a great increase in literature concerned with the effects of a variety of mental training regimes that generally fall within what might be called contemplative practices, and a majority of these studies have focused on mindfulness. Mindfulness meditation practices can be conceptualized as a set of attention-based, regulatory and self-inquiry training regimes cultivated for various ends, including well-being and psychological health. This article examines the construct of mindfulness in psychological research and reviews recent, non-clinical work in this area. Instead of proposing a single definition of mindfulness, we interpret it as a continuum of practices involving states that can be mapped into a multidimensional phenomenological matrix which itself can be expressed in a neurocognitive framework. This phenomenological matrix of mindfulness is presented as a heuristic to guide formulation of next-generation research hypotheses from both cognitive/behavioral and neuroscientific perspectives. In relation to this framework, we review selected findings on mindfulness cultivated through practices in both traditional and research settings, and we conclude by identifying significant gaps in the literature and outlining new directions for research. PMID:26436313

An Alpha and Theta Intensive and Short Neurofeedback Protocol for Healthy Aging Working-Memory Training

PubMed Central

Reis, Joana; Portugal, Ana Maria; Fernandes, Luís; Afonso, Nuno; Pereira, Mariana; Sousa, Nuno; Dias, Nuno S.

2016-01-01

The present study tested the effects of an intensive and short alpha and theta neurofeedback (NF) protocol in working memory (WM) performance in a healthy elder population and explored the effects of a multimodal approach, by supplementing NF with cognitive tasks. Participants were allocated to four groups: NF (N = 9); neurofeedback supplemented with cognitive training (NFCT) (N = 8); cognitive training (CT) (N = 7) and sham neurofeedback (Sham-NF) (N = 6). The intervention consisted in 30-min sessions for 8 days. The NF group presented post intervention increases of alpha and theta relative power as well as performance in the matrix rotation task. In addition, a successful up training of frontal theta showed positive correlation with an improvement of post-training alpha and a better performance in the matrix rotation task. The results presented herein suggest that an intensive and short NF protocol enables elders to learn alpha and theta self-modulation and already presents moderate improvements in cognition and basal EEG. Also, CT group showed moderate performance gains on the cognitive tasks used during the training sessions but no clear improvements on neurophysiology and behavioral measurements were observed. This study represents a first attempt to study the effects of an intensive and short NF protocol in WM performance of elders. The evidence presented here suggests that an intensive and short NF intervention could be a valid alternative for introduction of older populations to NF methodologies. PMID:27458369

Face recognition using tridiagonal matrix enhanced multivariance products representation

NASA Astrophysics Data System (ADS)

Ã-zay, Evrim Korkmaz

2017-01-01

This study aims to retrieve face images from a database according to a target face image. For this purpose, Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR) is taken into consideration. TMEMPR is a recursive algorithm based on Enhanced Multivariance Products Representation (EMPR). TMEMPR decomposes a matrix into three components which are a matrix of left support terms, a tridiagonal matrix of weight parameters for each recursion, and a matrix of right support terms, respectively. In this sense, there is an analogy between Singular Value Decomposition (SVD) and TMEMPR. However TMEMPR is a more flexible algorithm since its initial support terms (or vectors) can be chosen as desired. Low computational complexity is another advantage of TMEMPR because the algorithm has been constructed with recursions of certain arithmetic operations without requiring any iteration. The algorithm has been trained and tested with ORL face image database with 400 different grayscale images of 40 different people. TMEMPR's performance has been compared with SVD's performance as a result.

Comparing implementations of penalized weighted least-squares sinogram restoration.

PubMed

Forthmann, Peter; Koehler, Thomas; Defrise, Michel; La Riviere, Patrick

2010-11-01

A CT scanner measures the energy that is deposited in each channel of a detector array by x rays that have been partially absorbed on their way through the object. The measurement process is complex and quantitative measurements are always and inevitably associated with errors, so CT data must be preprocessed prior to reconstruction. In recent years, the authors have formulated CT sinogram preprocessing as a statistical restoration problem in which the goal is to obtain the best estimate of the line integrals needed for reconstruction from the set of noisy, degraded measurements. The authors have explored both penalized Poisson likelihood (PL) and penalized weighted least-squares (PWLS) objective functions. At low doses, the authors found that the PL approach outperforms PWLS in terms of resolution-noise tradeoffs, but at standard doses they perform similarly. The PWLS objective function, being quadratic, is more amenable to computational acceleration than the PL objective. In this work, the authors develop and compare two different methods for implementing PWLS sinogram restoration with the hope of improving computational performance relative to PL in the standard-dose regime. Sinogram restoration is still significant in the standard-dose regime since it can still outperform standard approaches and it allows for correction of effects that are not usually modeled in standard CT preprocessing. The authors have explored and compared two implementation strategies for PWLS sinogram restoration: (1) A direct matrix-inversion strategy based on the closed-form solution to the PWLS optimization problem and (2) an iterative approach based on the conjugate-gradient algorithm. Obtaining optimal performance from each strategy required modifying the naive off-the-shelf implementations of the algorithms to exploit the particular symmetry and sparseness of the sinogram-restoration problem. For the closed-form approach, the authors subdivided the large matrix inversion into smaller coupled problems and exploited sparseness to minimize matrix operations. For the conjugate-gradient approach, the authors exploited sparseness and preconditioned the problem to speed up convergence. All methods produced qualitatively and quantitatively similar images as measured by resolution-variance tradeoffs and difference images. Despite the acceleration strategies, the direct matrix-inversion approach was found to be uncompetitive with iterative approaches, with a computational burden higher by an order of magnitude or more. The iterative conjugate-gradient approach, however, does appear promising, with computation times half that of the authors' previous penalized-likelihood implementation. Iterative conjugate-gradient based PWLS sinogram restoration with careful matrix optimizations has computational advantages over direct matrix PWLS inversion and over penalized-likelihood sinogram restoration and can be considered a good alternative in standard-dose regimes.

Involution symmetries and the PMNS matrix

NASA Astrophysics Data System (ADS)

Pal, Palash B.; Byakti, Pritibhajan

2017-10-01

C S Lam has suggested that the PMNS matrix (or at least some of its elements) can be predicted by embedding the residual symmetry of the leptonic mass terms into a bigger symmetry. We analyse the possibility that the residual symmetries consist of involution generators only and explore how Lam's idea can be implemented.

Solving rational matrix equations in the state space with applications to computer-aided control-system design

NASA Technical Reports Server (NTRS)

Packard, A. K.; Sastry, S. S.

1986-01-01

A method of solving a class of linear matrix equations over various rings is proposed, using results from linear geometric control theory. An algorithm, successfully implemented, is presented, along with non-trivial numerical examples. Applications of the method to the algebraic control system design methodology are discussed.

Generating Multiple Imputations for Matrix Sampling Data Analyzed with Item Response Models.

ERIC Educational Resources Information Center

Thomas, Neal; Gan, Nianci

1997-01-01

Describes and assesses missing data methods currently used to analyze data from matrix sampling designs implemented by the National Assessment of Educational Progress. Several improved methods are developed, and these models are evaluated using an EM algorithm to obtain maximum likelihood estimates followed by multiple imputation of complete data…

Heuristic Implementation of Dynamic Programming for Matrix Permutation Problems in Combinatorial Data Analysis

ERIC Educational Resources Information Center

Brusco, Michael J.; Kohn, Hans-Friedrich; Stahl, Stephanie

2008-01-01

Dynamic programming methods for matrix permutation problems in combinatorial data analysis can produce globally-optimal solutions for matrices up to size 30x30, but are computationally infeasible for larger matrices because of enormous computer memory requirements. Branch-and-bound methods also guarantee globally-optimal solutions, but computation…

Implementing Computer-Based Training for Library Staff.

ERIC Educational Resources Information Center

Bayne, Pauline S.; And Others

1994-01-01

Describes a computer-based training program for library staff developed at the University of Tennessee, Knoxville, that used HyperCard stacks on Macintosh computers. Highlights include staff involvement; evaluation of modules; trainee participation and feedback; staff recognition; administrative support; implementation plan; supervisory…

SO2 NAAQS Implementation Training and Assistance for State and Local Air Agencies

EPA Pesticide Factsheets

Presentations and training help air agencies understand the National Ambient Air Quality Standards (NAAQS) for sulfur dioxide, how to engage the public in local emissions reduction programs, successful state implementation plan (SIP) development, and more.

PM NAAQS Implementation Training and Assistance for State and Local Air Agencies

EPA Pesticide Factsheets

EPA offers training and assistance resources for air agencies in developing their state implementation plans (SIPs), as well as in reaching or maintaining attainment of the National Ambient Air Quality Standards (NAAQS) for particulate matter (PM).

Performance of low-rank QR approximation of the finite element Biot-Savart law

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

White, D; Fasenfest, B

2006-10-16

In this paper we present a low-rank QR method for evaluating the discrete Biot-Savart law. Our goal is to develop an algorithm that is easily implemented on parallel computers. It is assumed that the known current density and the unknown magnetic field are both expressed in a finite element expansion, and we wish to compute the degrees-of-freedom (DOF) in the basis function expansion of the magnetic field. The matrix that maps the current DOF to the field DOF is full, but if the spatial domain is properly partitioned the matrix can be written as a block matrix, with blocks representingmore » distant interactions being low rank and having a compressed QR representation. While an octree partitioning of the matrix may be ideal, for ease of parallel implementation we employ a partitioning based on number of processors. The rank of each block (i.e. the compression) is determined by the specific geometry and is computed dynamically. In this paper we provide the algorithmic details and present computational results for large-scale computations.« less

Training of lay health educators to implement an evidence-based behavioral weight loss intervention in rural senior centers.

PubMed

Krukowski, Rebecca A; Lensing, Shelly; Love, Sharhonda; Prewitt, T Elaine; Adams, Becky; Cornell, Carol E; Felix, Holly C; West, Delia

2013-02-01

Lay health educators (LHEs) offer great promise for facilitating the translation of evidence-based health promotion programs to underserved areas; yet, there is little guidance on how to train LHEs to implement these programs, particularly in the crucial area of empirically validated obesity interventions. This article describes experiences in recruiting, training, and retaining 20 LHEs who delivered a 12-month evidence-based behavioral lifestyle intervention (based on the Diabetes Prevention Program) in senior centers across a rural state. A mixed method approach was used which incorporated collecting the folllowing: quantitative data on sociodemographic characteristics of LHEs; process data related to training, recruitment, intervention implementation, and retention of LHEs; and a quantitative program evaluation questionnaire, which was supplemented by a qualitative program evaluation questionnaire. Descriptive statistics were calculated for quantitative data, and qualitative data were analyzed using content analysis. The training program was well received, and the LHEs effectively recruited participants and implemented the lifestyle intervention in senior centers following a structured protocol. The methods used in this study produced excellent long-term retention of LHEs and good adherence to intervention protocol, and as such may provide a model that could be effective for others seeking to implement LHE-delivered health promotion programs.

Training Employers to Implement Health Promotion Programs: Results From the CDC Work@Health® Program.

PubMed

Cluff, Laurie A; Lang, Jason E; Rineer, Jennifer R; Jones-Jack, Nkenge H; Strazza, Karen M

2018-05-01

Centers for Disease Control and Prevention (CDC) initiated the Work@Health Program to teach employers how to improve worker health using evidence-based strategies. Program goals included (1) determining the best way(s) to deliver employer training, (2) increasing employers' knowledge of workplace health promotion (WHP), and (3) increasing the number of evidence-based WHP interventions at employers' worksites. This study is one of the few to examine the effectiveness of a program designed to train employers how to implement WHP programs. Pre- and posttest design. Training via 1 of 3 formats hands-on, online, or blended. Two hundred six individual participants from 173 employers of all sizes. Eight-module training curriculum to guide participants through building an evidence-based WHP program, followed by 6 to 10 months of technical assistance. The CDC Worksite Health ScoreCard and knowledge, attitudes, and behavior survey. Descriptive statistics, paired t tests, and mixed linear models. Participants' posttraining mean knowledge scores were significantly greater than the pretraining scores (61.1 vs 53.2, P < .001). A year after training, employers had significantly increased the number of evidence-based interventions in place (47.7 vs 35.5, P < .001). Employers' improvements did not significantly differ among the 3 training delivery formats. The Work@Health Program provided employers with knowledge to implement WHP interventions. The training and technical assistance provided structure, practical guidance, and tools to assess needs and select, implement, and evaluate interventions.

A Training Intervention for Supervisors to Support a Work-Life Policy Implementation

PubMed Central

Laharnar, Naima; Glass, Nancy; Perrin, Nancy; Hanson, Ginger; Kent Anger, W.

2013-01-01

Background Effective policy implementation is essential for a healthy workplace. The Ryan-Kossek 2008 model for work-life policy adoption suggests that supervisors as gatekeepers between employer and employee need to know how to support and communicate benefit regulations. This article describes a workplace intervention on a national employee benefit, Family and Medical Leave Act (FMLA), and evaluates the effectiveness of the intervention on supervisor knowledge, awareness, and experience with FMLA. Methods The intervention consisted of computer-based training (CBT) and a survey measuring awareness and experience with FMLA. The training was administered to 793 county government supervisors in the state of Oregon, USA. Results More than 35% of supervisors reported no previous training on FMLA and the training pre-test revealed a lack of knowledge regarding benefit coverage and employer responsibilities. The CBT achieved: (1) a significant learning effect and large effect size of d = 2.0, (2) a positive reaction to the training and its design, and (3) evidence of increased knowledge and awareness regarding FMLA. Conclusion CBT is an effective strategy to increase supervisors' knowledge and awareness to support policy implementation. The lack of supervisor training and knowledge of an important but complex employee benefit exposes a serious impediment to effective policy implementation and may lead to negative outcomes for the organization and the employee, supporting the Ryan-Kossek model. The results further demonstrate that long-time employees need supplementary training on complex workplace policies such as FMLA. PMID:24106648

Building national capacity for research mentor training: an evidence-based approach to training the trainers.

PubMed

Pfund, Christine; Spencer, Kimberly C; Asquith, Pamela; House, Stephanie C; Miller, Sarah; Sorkness, Christine A

2015-01-01

Research mentor training (RMT), based on the published Entering Mentoring curricula series, has been shown to improve the knowledge and skills of research mentors across career stages, as self-reported by both the mentors engaged in training and their mentees. To promote widespread dissemination and empower others to implement this evidence-based training at their home institutions, we developed an extensive, interactive, multifaceted train-the-trainer workshop. The specific goals of these workshops are to 1) increase facilitator knowledge of an RMT curriculum, 2) increase facilitator confidence in implementing the curriculum, 3) provide a safe environment to practice facilitation of curricular activities, and 4) review implementation strategies and evaluation tools. Data indicate that our approach results in high satisfaction and significant confidence gains among attendees. Of the 195 diverse attendees trained in our workshops since Fall 2010, 44% report implementation at 39 different institutions, collectively training more than 500 mentors. Further, mentors who participated in the RMT sessions led by our trained facilitators report high facilitator effectiveness in guiding discussion. Implications and challenges to building the national capacity needed for improved research mentoring relationships are discussed. © 2015 C. Pfund, K. C. Spencer, et al. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

What do community football players think about different exercise-training programmes? Implications for the delivery of lower limb injury prevention programmes

PubMed Central

Finch, Caroline F; Doyle, Tim LA; Dempsey, Alasdair R; Elliott, Bruce C; Twomey, Dara M; White, Peta E; Diamantopoulou, Kathy; Young, Warren; Lloyd, David G

2014-01-01

Background Players are the targeted end-users and beneficiaries of exercise-training programmes implemented during coach-led training sessions, and the success of programmes depends upon their active participation. Two variants of an exercise-training programme were incorporated into the regular training schedules of 40 community Australian Football teams, over two seasons. One variant replicated common training practices, while the second was an evidence-based programme to alter biomechanical and neuromuscular factors related to risk of knee injuries. This paper describes the structure of the implemented programmes and compares players’ end-of-season views about the programme variants. Methods This study was nested within a larger group-clustered randomised controlled trial of the effectiveness of two exercise-training programmes (control and neuromuscular control (NMC)) for preventing knee injuries. A post-season self-report survey, derived from Health Belief Model constructs, included questions to obtain players’ views about the benefits and physical challenges of the programme in which they participated. Results Compared with control players, those who participated in the NMC programme found it to be less physically challenging but more enjoyable and potentially of more benefit. Suggestions from players about potential improvements to the training programme and its future implementation included reducing duration, increasing range of drills/exercises and promoting its injury prevention and other benefits to players. Conclusions Players provide valuable feedback about the content and focus of implemented exercise-training programmes, that will directly inform the delivery of similar, or more successful, programmes in the future. PMID:24047571

5 CFR 410.305 - Establishing and using interagency training.

Code of Federal Regulations, 2011 CFR

2011-01-01

... training programs developed for its employees of other agencies under section 4120 of title 5, United... REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.305 Establishing and using...

Organizational and provider level factors in implementation of trauma-informed care after a city-wide training: an explanatory mixed methods assessment.

PubMed

Damian, April Joy; Gallo, Joseph; Leaf, Philip; Mendelson, Tamar

2017-11-21

While there is increasing support for training youth-serving providers in trauma-informed care (TIC) as a means of addressing high prevalence of U.S. childhood trauma, we know little about the effects of TIC training on organizational culture and providers' professional quality of life. This mixed-methods study evaluated changes in organizational- and provider-level factors following participation in a citywide TIC training. Government workers and nonprofit professionals (N = 90) who participated in a nine-month citywide TIC training completed a survey before and after the training to assess organizational culture and professional quality of life. Survey data were analyzed using multiple regression analyses. A subset of participants (n = 16) was interviewed using a semi-structured format, and themes related to organizational and provider factors were identified using qualitative methods. Analysis of survey data indicated significant improvements in participants' organizational culture and professional satisfaction at training completion. Participants' perceptions of their own burnout and secondary traumatic stress also increased. Four themes emerged from analysis of the interview data, including "Implementation of more flexible, less-punitive policies towards clients," "Adoption of trauma-informed workplace design," "Heightened awareness of own traumatic stress and need for self-care," and "Greater sense of camaraderie and empathy for colleagues." Use of a mixed-methods approach provided a nuanced understanding of the impact of TIC training and suggested potential benefits of the training on organizational and provider-level factors associated with implementation of trauma-informed policies and practices. Future trainings should explicitly address organizational factors such as safety climate and morale, managerial support, teamwork climate and collaboration, and individual factors including providers' compassion satisfaction, burnout, and secondary traumatic stress, to better support TIC implementation.

Matrix thermalization

NASA Astrophysics Data System (ADS)

Craps, Ben; Evnin, Oleg; Nguyen, Kévin

2017-02-01

Matrix quantum mechanics offers an attractive environment for discussing gravitational holography, in which both sides of the holographic duality are well-defined. Similarly to higher-dimensional implementations of holography, collapsing shell solutions in the gravitational bulk correspond in this setting to thermalization processes in the dual quantum mechanical theory. We construct an explicit, fully nonlinear supergravity solution describing a generic collapsing dilaton shell, specify the holographic renormalization prescriptions necessary for computing the relevant boundary observables, and apply them to evaluating thermalizing two-point correlation functions in the dual matrix theory.

Weighted graph based ordering techniques for preconditioned conjugate gradient methods

NASA Technical Reports Server (NTRS)

Clift, Simon S.; Tang, Wei-Pai

1994-01-01

We describe the basis of a matrix ordering heuristic for improving the incomplete factorization used in preconditioned conjugate gradient techniques applied to anisotropic PDE's. Several new matrix ordering techniques, derived from well-known algorithms in combinatorial graph theory, which attempt to implement this heuristic, are described. These ordering techniques are tested against a number of matrices arising from linear anisotropic PDE's, and compared with other matrix ordering techniques. A variation of RCM is shown to generally improve the quality of incomplete factorization preconditioners.

Social workers' perceptions of barriers to interpersonal therapy implementation for treating postpartum depression in a primary care setting in Israel.

PubMed

Bina, Rena; Barak, Adi; Posmontier, Barbara; Glasser, Saralee; Cinamon, Tali

2018-01-01

Research on evidence-based practice (EBP) implementation in social work often neglects to include evaluation of application barriers. This qualitative study examined social workers' perspectives of provider- and organisational-related barriers to implementing a brief eight-session interpersonal therapy (IPT) intervention, a time-limited EBP that addresses reducing depressive symptoms and improving interpersonal functioning. Implementation took place in a primary care setting in Israel and was aimed at treating women who have postpartum depression (PPD) symptoms. Using purposeful sampling, 25 primary care licensed social workers were interviewed between IPT training and implementation regarding their perceived barriers to implementing IPT in practice. Data analysis was facilitated using a phenomenological approach, which entails identifying the shared themes and shared experiences of research participants regarding barriers to implementing IPT. Three themes emerged from the analysis of interviews: Perceived lack of flexibility of IPT intervention in comparison with more familiar methods social workers previously applied, specifically regarding the number of sessions and therapeutic topics included in the IPT protocol; insecurity and hesitance to gain experience with a new method of intervention; and organisational barriers, including difficulties with referrals, the perception of HMOs as health facilities not suitable for therapy, and time constraints. Addressing perceived barriers of social workers toward implementing EBPs, such as IPT for postpartum depression, during the training phase is crucial for enabling appropriate implementation. Future training should include examining practitioners' attitudes toward implementation of EBPs, as part of standardised training protocols. © 2017 John Wiley & Sons Ltd.

Building system capacity for the integration of mental health at the level of primary care in Tunisia: a study protocol in global mental health.

PubMed

Spagnolo, Jessica; Champagne, François; Leduc, Nicole; Piat, Myra; Melki, Wahid; Charfi, Fatma; Laporta, Marc

2017-01-17

In low- and middle-income countries (LMICs), addressing the high prevalence of mental disorders is a challenge given the limited number and unequal distribution of specialists, as well as scarce resources allocated to mental health. The Mental Health Gap Action Programme (mhGAP) and its accompanying Intervention Guide (IG), developed by the World Health Organization (WHO), aim to address this challenge by training non-specialists such as general practitioners (GPs) in mental health care. This trial aims to implement and evaluate an adapted version of the mhGAP-IG (version 1.0) offered to GPs in 2 governorates of Tunisia (i.e., Tunis and Sousse), in order to uncover important information regarding implementation process and study design before country-wide implementation and evaluation. First, a systematic review will be conducted to explore types and effectiveness of mental health training programs offered to GPs around the world, with a specific focus on programs implemented and evaluated in LMICs. Second, a cluster randomized controlled trial (RCT) will be conducted to evaluate the effectiveness of the implemented training based on the mhGAP-IG (version 1.0). Third, multiple case study design will be used to explore how contextual factors impact the successful implementation of the training and desired outcomes. In Tunisia, an important need exists to further develop proximity health services and to address the growing mental health treatment gap. One solution is to train GPs in the detection, treatment, and management of mental health problems, given their strategic role in the healthcare system. This trial thus aims to implement and evaluate an adapted version of a training based on the mhGAP-IG (version 1.0) in Tunis and Sousse before country-wide implementation and evaluation. Several contributions are envisioned: adding to the growing evidence on the mhGAP and its accompanying guide, especially in French-speaking nations; building research capacity in Tunisia and more generally in LMICs by employing rigorous designs; evaluating an adapted version of the mhGAP-IG (version 1.0) on a sample of GPs; generating important information regarding implementation process and study design before country-wide implementation; and complimenting the trial results with implementation analysis, a priority in global mental health.

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient.

PubMed

Masuda, Y; Misztal, I; Legarra, A; Tsuruta, S; Lourenco, D A L; Fragomeni, B O; Aguilar, I

2017-01-01

This paper evaluates an efficient implementation to multiply the inverse of a numerator relationship matrix for genotyped animals () by a vector (). The computation is required for solving mixed model equations in single-step genomic BLUP (ssGBLUP) with the preconditioned conjugate gradient (PCG). The inverse can be decomposed into sparse matrices that are blocks of the sparse inverse of a numerator relationship matrix () including genotyped animals and their ancestors. The elements of were rapidly calculated with the Henderson's rule and stored as sparse matrices in memory. Implementation of was by a series of sparse matrix-vector multiplications. Diagonal elements of , which were required as preconditioners in PCG, were approximated with a Monte Carlo method using 1,000 samples. The efficient implementation of was compared with explicit inversion of with 3 data sets including about 15,000, 81,000, and 570,000 genotyped animals selected from populations with 213,000, 8.2 million, and 10.7 million pedigree animals, respectively. The explicit inversion required 1.8 GB, 49 GB, and 2,415 GB (estimated) of memory, respectively, and 42 s, 56 min, and 13.5 d (estimated), respectively, for the computations. The efficient implementation required <1 MB, 2.9 GB, and 2.3 GB of memory, respectively, and <1 sec, 3 min, and 5 min, respectively, for setting up. Only <1 sec was required for the multiplication in each PCG iteration for any data sets. When the equations in ssGBLUP are solved with the PCG algorithm, is no longer a limiting factor in the computations.

Is a matrix exponential specification suitable for the modeling of spatial correlation structures?

PubMed Central

Strauß, Magdalena E.; Mezzetti, Maura; Leorato, Samantha

2018-01-01

This paper investigates the adequacy of the matrix exponential spatial specifications (MESS) as an alternative to the widely used spatial autoregressive models (SAR). To provide as complete a picture as possible, we extend the analysis to all the main spatial models governed by matrix exponentials comparing them with their spatial autoregressive counterparts. We propose a new implementation of Bayesian parameter estimation for the MESS model with vague prior distributions, which is shown to be precise and computationally efficient. Our implementations also account for spatially lagged regressors. We further allow for location-specific heterogeneity, which we model by including spatial splines. We conclude by comparing the performances of the different model specifications in applications to a real data set and by running simulations. Both the applications and the simulations suggest that the spatial splines are a flexible and efficient way to account for spatial heterogeneities governed by unknown mechanisms. PMID:29492375

The multifacet graphically contracted function method. I. Formulation and implementation

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

Shepard, Ron; Brozell, Scott R.; Gidofalvi, Gergely

2014-08-14

The basic formulation for the multifacet generalization of the graphically contracted function (MFGCF) electronic structure method is presented. The analysis includes the discussion of linear dependency and redundancy of the arc factor parameters, the computation of reduced density matrices, Hamiltonian matrix construction, spin-density matrix construction, the computation of optimization gradients for single-state and state-averaged calculations, graphical wave function analysis, and the efficient computation of configuration state function and Slater determinant expansion coefficients. Timings are given for Hamiltonian matrix element and analytic optimization gradient computations for a range of model problems for full-CI Shavitt graphs, and it is observed that bothmore » the energy and the gradient computation scale as O(N{sup 2}n{sup 4}) for N electrons and n orbitals. The important arithmetic operations are within dense matrix-matrix product computational kernels, resulting in a computationally efficient procedure. An initial implementation of the method is used to present applications to several challenging chemical systems, including N{sub 2} dissociation, cubic H{sub 8} dissociation, the symmetric dissociation of H{sub 2}O, and the insertion of Be into H{sub 2}. The results are compared to the exact full-CI values and also to those of the previous single-facet GCF expansion form.« less

Designing, Developing, and Implementing Diversity Training: Guidelines for Practitioners.

ERIC Educational Resources Information Center

Kincaid, Tanna M.; Horner, Erin R.

1997-01-01

Discusses diversity in the workplace and offers guidelines for practitioners in designing, developing, and implementing diversity training. Highlights include linking the diversity initiative to the organization's mission, cultural climate assessments, reviewing policies and procedures, needs assessment, learner analysis, establishing objectives,…

Physical Training Methods For Mine Rescuers In 2015

NASA Astrophysics Data System (ADS)

Marin, Laurentiu; Pavel, Topala; Marin, Catalina Daniela; Sandu, Teodor

2015-07-01

Research and development activities presented were aimed at obtaining a nanocomposite polyurethane matrix with special anti-wear, anti-slip and fire-resistant properties. Research and development works were materialized by obtaining polyurethane nanocomposite matrix, by its physico-chemical modification in order to give the desired technological properties and by characterization of the obtained material. Polyurethane nanocomposite matrix was obtained by reacting a PETOL 3 type polyetherpolyol (having a molecular weight of 5000 UAM) with a diisocyanate under well-established reaction conditions. Target specific technological properties were obtained by physical and chemical modification of polyurethane nanocomposite matrix. The final result was getting a pellicle material based on modified nanocomposite polyurethane, with anti-wear, anti-slip and fire-resistant properties, compatible with most substrates encountered in civil and industrial construction: wood, concrete, metal.

Distributed Training for the Reserve Component: Course Conversion and Implementation Guidelines for Computer Conferencing

DTIC Science & Technology

1990-08-01

Computer Conferencing ’ DTIC •ELECTEM. b ~Novo JIML 0*- B August 1990 Field Element al Boise, Idaho Field Unit at Fort Knox, Kentucky Training Resecarch...Distributed Training for the Reserve Component: Course Conversion and implementation Guidelines for Computer (onferencing _________________ __________ 12...identify by block number) FIELD GROUP SUB-GROT;W Asynchironous computer conferencing ’rt i1inimg technology _____ 1Reserve Component jtr ibuted

Community participation in biofilm matrix assembly and function.

PubMed

Mitchell, Kaitlin F; Zarnowski, Robert; Sanchez, Hiram; Edward, Jessica A; Reinicke, Emily L; Nett, Jeniel E; Mitchell, Aaron P; Andes, David R

2015-03-31

Biofilms of the fungus Candida albicans produce extracellular matrix that confers such properties as adherence and drug resistance. Our prior studies indicate that the matrix is complex, with major polysaccharide constituents being α-mannan, β-1,6 glucan, and β-1,3 glucan. Here we implement genetic, biochemical, and pharmacological approaches to unravel the contributions of these three constituents to matrix structure and function. Interference with synthesis or export of any one polysaccharide constituent altered matrix concentrations of each of the other polysaccharides. Each of these was also required for matrix function, as assessed by assays for sequestration of the antifungal drug fluconazole. These results indicate that matrix biogenesis entails coordinated delivery of the individual matrix polysaccharides. To understand whether coordination occurs at the cellular level or the community level, we asked whether matrix-defective mutant strains could be coaxed to produce functional matrix through biofilm coculture. We observed that mixed biofilms inoculated with mutants containing a disruption in each polysaccharide pathway had restored mature matrix structure, composition, and biofilm drug resistance. Our results argue that functional matrix biogenesis is coordinated extracellularly and thus reflects the cooperative actions of the biofilm community.

Community participation in biofilm matrix assembly and function

PubMed Central

Mitchell, Kaitlin F.; Zarnowski, Robert; Sanchez, Hiram; Edward, Jessica A.; Reinicke, Emily L.; Nett, Jeniel E.; Mitchell, Aaron P.; Andes, David R.

2015-01-01

Biofilms of the fungus Candida albicans produce extracellular matrix that confers such properties as adherence and drug resistance. Our prior studies indicate that the matrix is complex, with major polysaccharide constituents being α-mannan, β-1,6 glucan, and β-1,3 glucan. Here we implement genetic, biochemical, and pharmacological approaches to unravel the contributions of these three constituents to matrix structure and function. Interference with synthesis or export of any one polysaccharide constituent altered matrix concentrations of each of the other polysaccharides. Each of these was also required for matrix function, as assessed by assays for sequestration of the antifungal drug fluconazole. These results indicate that matrix biogenesis entails coordinated delivery of the individual matrix polysaccharides. To understand whether coordination occurs at the cellular level or the community level, we asked whether matrix-defective mutant strains could be coaxed to produce functional matrix through biofilm coculture. We observed that mixed biofilms inoculated with mutants containing a disruption in each polysaccharide pathway had restored mature matrix structure, composition, and biofilm drug resistance. Our results argue that functional matrix biogenesis is coordinated extracellularly and thus reflects the cooperative actions of the biofilm community. PMID:25770218

A transition matrix approach to the Davenport gryo calibration scheme

NASA Technical Reports Server (NTRS)

Natanson, G. A.

1998-01-01

The in-flight gyro calibration scheme commonly used by NASA Goddard Space Flight Center (GSFC) attitude ground support teams closely follows an original version of the Davenport algorithm developed in the late seventies. Its basic idea is to minimize the least-squares differences between attitudes gyro- propagated over the course of a maneuver and those determined using post- maneuver sensor measurements. The paper represents the scheme in a recursive form by combining necessary partials into a rectangular matrix, which is propagated in exactly the same way as a Kalman filters square transition matrix. The nontrivial structure of the propagation matrix arises from the fact that attitude errors are not included in the state vector, and therefore their derivatives with respect to estimated a parameters do not appear in the transition matrix gyro defined in the conventional way. In cases when the required accuracy can be achieved by a single iteration, representation of the Davenport gyro calibration scheme in a recursive form allows one to discard each gyro measurement immediately after it was used to propagate the attitude and state transition matrix. Another advantage of the new approach is that it utilizes the same expression for the error sensitivity matrix as that used by the Kalman filter. As a result the suggested modification of the Davenport algorithm made it possible to reuse software modules implemented in the Kalman filter estimator, where both attitude errors and gyro calibration parameters are included in the state vector. The new approach has been implemented in the ground calibration utilities used to support the Tropical Rainfall Measuring Mission (TRMM). The paper analyzes some preliminary results of gyro calibration performed by the TRMM ground attitude support team. It is demonstrated that an effect of the second iteration on estimated values of calibration parameters is negligibly small, and therefore there is no need to store processed gyro data. This opens a promising opportunity for onboard implementation of the suggested recursive procedure by combining, it with the Kalman filter used to obtain necessary attitude solutions at the beginning and end of each maneuver.

Staff Training on the Use of Health Information Systems: What Do We Know?

PubMed

Bygholm, Ann

2018-01-01

Staff training is acknowledged as an important activity when implementing health information systems (HISs). This paper reviews the literature on staff training in connection with HIS implementation. The aim is to identify critical issues to reflect on when planning or evaluating this type of training. Searches were conducted in three research databases, resulting in 423 hits. Sixty-four papers were retrieved for more detailed examination, and 12 papers were selected for analysis. The analysis focused on the content, organization and pedagogical approach. In general, the review revealed minor primarily descriptive studies focused on aspects of staff training rather than strategies for staff training. The review revealed specific agreed-upon issues that are considered important for the success of the training. The issues identified are transfer of knowledge and skills is not enough, ongoing training is important, training should be related to practice and address individual learning needs, and super-users are important facilitators.

Promoting addiction medicine teaching through functional mentoring by co-training generalist chief residents with faculty mentors.

PubMed

Alford, Daniel P; Carney, Brittany L; Jackson, Angela H; Brett, Belle; Bridden, Carly; Winter, Michael; Samet, Jeffrey H

2018-02-16

Generalist physicians should play a vital role in identifying and managing individuals with substance use but are inadequately trained to do so. This 5-year (2008-2012) controlled educational study assessed whether internal medicine and family medicine chief residents' (CRs) addiction medicine teaching increased by co-training with faculty mentors at a Chief Resident Immersion Training (CRIT) program in addiction medicine. All CRIT CR attendees identified a residency program faculty mentor to support addiction medicine teaching after CRIT through functional mentoring with a focus on developing and implementing an Addiction Medicine Teaching Project ("Teaching Project"). Approximately half of the CRs attended CRIT with their mentor (co-trained) and half without their mentor (solo-trained). Addiction medicine teaching outcomes were compared between groups using 6- and 11-month questionnaires and 4 bimonthly teaching logs. Of co-trained CRs, mentor characteristics that positively influenced addiction medicine teaching outcomes were identified. One hundred CRs from 74 residency programs attended CRIT from 2008 to 2012; 47 co-trained with their mentors and 53 solo-trained without their mentors. At 6-month follow-up, the co-trained CRs were more likely to meet at least monthly with their mentor (22.7% vs. 9.6%, P < .01) and more likely to identify their mentor as a facilitator for Teaching Project implementation (82.2% vs. 38.5%, P < .01). At 11-month follow-up, a higher percentage of co-trained CRs had completed their Teaching Project (34.0% vs. 15.1%, P < .05). Both CR groups had similarly large increases in other addiction medicine teaching outcomes. Mentors with more experience, including years of teaching, was associated with better CR Teaching Project outcomes. Co-training generalist chief residents with a faculty mentor appeared to facilitate functional mentoring-driven Teaching Project implementation but did not further increase already high levels of other addiction medicine teaching. Faculty mentors with more years of teaching experience were more effective in facilitating Teaching Project implementation.

Oversight--Job Training Partnership Act. Hearing before the Subcommittee on Employment and Productivity of the Committee on Labor and Human Resources, United States Senate, Ninety-Eighth Congress, Second Session on Oversight on Problems Encountered in the Implementation of the Job Training Partnership Act (Jackson, Mississippi).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Committee on Labor and Human Resources.

This Congressional report contains prepared statements presented at a hearing held in Mississippi to assess local and statewide implementation of the Job Training Partnership Act (JTPA). The focus of the hearing was on state-level administration and assessment of the program, strategies for linking education and training systems, and employers and…

Strengthening TB infection control in specialized health facilities in Romania--using a participatory approach.

PubMed

Turusbekova, N; Popa, C; Dragos, M; van der Werf, M J; Dinca, I

2016-02-01

In 2012, the tuberculosis (TB) notification rate among Romanian TB facility doctors and nurses was 7.2 times higher than in the general population. This indicates that transmission is ongoing inside TB facilities and that TB infection control measures are insufficient. To help prevent nosocomial TB transmission a project was implemented that aimed at providing nationwide tailor-made technical assistance in TB infection control (TB-IC) in TB treatment facilities, including the development of TB infection control plans. The objective of the present article is to describe the implementation of the project and to discuss successes and challenges. The project was an implementation study using two methods of evaluation: (1) a cross sectional questionnaire study; and (2) collection of information, during the training, on challenges related to infection control and to the project implementation. The project team developed a TB facility infection control (TB-IC) plan template, together with the Romanian experts. The template was discussed and agreed upon with the experts at a meeting and thereafter distributed by email to all TB facilities. Afterwards, a training of trainers (TOT) seminar was organized which included the provision of information about different training methods, as well as information about TB-IC. The TOT was followed by training for key TB-IC providers. Information about use of the TB-IC template was gathered through a self-administered questionnaire sent to all participants of the expert meeting and the training (42 people). Additionally, non-systematized discussions were held on broader challenges in TB-IC implementation during the training. Within the project 42 key TB-IC service providers were trained in TB-IC, including 9 who were trained at a TOT seminar. The trainees were specialists working at the national level, such as country TB coordinators, or at the TB facility level: TB doctors, epidemiologists, laboratory specialists and maintenance engineers. Out of 42 key TB-IC service providers who were trained, only eighteen responded to the questionnaire (no reminders were sent). Out of these, 14 had used the TB-IC plan template after the project team disseminated it to them by email. The remaining four TB-IC service providers indicated that they were planning to use the template to develop or update their facility TB-IC plans. Related to the use of TB-IC plan template, the following broader challenges in TB-IC were identified: a lack of authority of the individuals responsible for TB-IC to implement the TB-IC measures, lack of training among facility epidemiologists on TB, underdeveloped system for reporting TB in healthcare workers, difficulties with triage of the TB suspects, and poor facility infrastructure hampering implementation of TB-IC measures. Implementing TB-IC plans in Romanian health care facilities proved to be challenging, mainly due to the fact that the national infection control plan for TB was not yet adopted at the time of project implementation, and therefore there was neither a regulatory framework to support TB facility-IC planning nor any related budget allocations for the implementation of the facilities' TB-IC plans. Nonetheless, most respondents who answered the questionnaire (18 of 42 responded) indicated that they had started using the TB-IC plan template, which represents a full package of infection control measures that, when implemented effectively and in its entirety, may be expected to reduce nosocomial transmission. The study's limitations are: very low survey response rate, thus there is a likelihood of responder bias. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Power Extension Package (PEP) system definition extension, orbital service module systems analysis study. Volume 7: PEP logistics and training plan requirements

NASA Technical Reports Server (NTRS)

1979-01-01

Recommendations for logistics activities and logistics planning are presented based on the assumption that a system prime contractor will perform logistics functions to support all program hardware and will implement a logistics system to include the planning and provision of products and services to assure cost effective coverage of the following: maintainability; maintenance; spares and supply support; fuels; pressurants and fluids; operations and maintenance documentation training; preservation, packaging and packing; transportation and handling; storage; and logistics management information reporting. The training courses, manpower, materials, and training aids required will be identified and implemented in a training program.

Training Research: Practical Recommendations for Maximum Impact

PubMed Central

Beidas, Rinad S.; Koerner, Kelly; Weingardt, Kenneth R.; Kendall, Philip C.

2011-01-01

This review offers practical recommendations regarding research on training in evidence-based practices for mental health and substance abuse treatment. When designing training research, we recommend: (a) aligning with the larger dissemination and implementation literature to consider contextual variables and clearly defining terminology, (b) critically examining the implicit assumptions underlying the stage model of psychotherapy development, (c) incorporating research methods from other disciplines that embrace the principles of formative evaluation and iterative review, and (d) thinking about how technology can be used to take training to scale throughout all stages of a training research project. An example demonstrates the implementation of these recommendations. PMID:21380792

Systems approach used in the Gas Centrifuge Enrichment Plant

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

Rooks, W.A. Jr.

A requirement exists for effective and efficient transfer of technical knowledge from the design engineering team to the production work force. Performance-Based Training (PBT) is a systematic approach to the design, development, and implementation of technical training. This approach has been successfully used by the US Armed Forces, industry, and other organizations. The advantages of the PBT approach are: cost-effectiveness (lowest life-cycle training cost), learning effectiveness, reduced implementation time, and ease of administration. The PBT process comprises five distinctive and rigorous phases: Analysis of Job Performance, Design of Instructional Strategy, Development of Training Materials and Instructional Media, Validation of Materialsmore » and Media, and Implementation of the Instructional Program. Examples from the Gas Centrifuge Enrichment Plant (GCEP) are used to illustrate the application of PBT.« less

An accelerated training method for back propagation networks

NASA Technical Reports Server (NTRS)

Shelton, Robert O. (Inventor)

1993-01-01

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

A space efficient flexible pivot selection approach to evaluate determinant and inverse of a matrix.

PubMed

Jafree, Hafsa Athar; Imtiaz, Muhammad; Inayatullah, Syed; Khan, Fozia Hanif; Nizami, Tajuddin

2014-01-01

This paper presents new simple approaches for evaluating determinant and inverse of a matrix. The choice of pivot selection has been kept arbitrary thus they reduce the error while solving an ill conditioned system. Computation of determinant of a matrix has been made more efficient by saving unnecessary data storage and also by reducing the order of the matrix at each iteration, while dictionary notation [1] has been incorporated for computing the matrix inverse thereby saving unnecessary calculations. These algorithms are highly class room oriented, easy to use and implemented by students. By taking the advantage of flexibility in pivot selection, one may easily avoid development of the fractions by most. Unlike the matrix inversion method [2] and [3], the presented algorithms obviate the use of permutations and inverse permutations.

Electronic implementation of associative memory based on neural network models

NASA Technical Reports Server (NTRS)

Moopenn, A.; Lambe, John; Thakoor, A. P.

1987-01-01

An electronic embodiment of a neural network based associative memory in the form of a binary connection matrix is described. The nature of false memory errors, their effect on the information storage capacity of binary connection matrix memories, and a novel technique to eliminate such errors with the help of asymmetrical extra connections are discussed. The stability of the matrix memory system incorporating a unique local inhibition scheme is analyzed in terms of local minimization of an energy function. The memory's stability, dynamic behavior, and recall capability are investigated using a 32-'neuron' electronic neural network memory with a 1024-programmable binary connection matrix.

Project - line interaction implementing projects in JPL's Matrix

NASA Technical Reports Server (NTRS)

Baroff, Lynn E.

2006-01-01

Can programmatic and line organizations really work interdependently, to accomplish their work as a community? Does the matrix produce a culture in which individuals take personal responsibility for both immediate mission success and long-term growth? What is the secret to making a matrix enterprise actually work? This paper will consider those questions, and propose that developing an effective project-line partnership demands primary attention to personal interactions among people. Many potential problems can be addressed by careful definition of roles, responsibilities, and work processes for both parts of the matrix -- and by deliberate and clear communication between project and line organizations and individuals.

A generalization of random matrix theory and its application to statistical physics.

PubMed

Wang, Duan; Zhang, Xin; Horvatic, Davor; Podobnik, Boris; Eugene Stanley, H

2017-02-01

To study the statistical structure of crosscorrelations in empirical data, we generalize random matrix theory and propose a new method of cross-correlation analysis, known as autoregressive random matrix theory (ARRMT). ARRMT takes into account the influence of auto-correlations in the study of cross-correlations in multiple time series. We first analytically and numerically determine how auto-correlations affect the eigenvalue distribution of the correlation matrix. Then we introduce ARRMT with a detailed procedure of how to implement the method. Finally, we illustrate the method using two examples taken from inflation rates for air pressure data for 95 US cities.

Parallel heterogeneous architectures for efficient OMP compressive sensing reconstruction

NASA Astrophysics Data System (ADS)

Kulkarni, Amey; Stanislaus, Jerome L.; Mohsenin, Tinoosh

2014-05-01

Compressive Sensing (CS) is a novel scheme, in which a signal that is sparse in a known transform domain can be reconstructed using fewer samples. The signal reconstruction techniques are computationally intensive and have sluggish performance, which make them impractical for real-time processing applications . The paper presents novel architectures for Orthogonal Matching Pursuit algorithm, one of the popular CS reconstruction algorithms. We show the implementation results of proposed architectures on FPGA, ASIC and on a custom many-core platform. For FPGA and ASIC implementation, a novel thresholding method is used to reduce the processing time for the optimization problem by at least 25%. Whereas, for the custom many-core platform, efficient parallelization techniques are applied, to reconstruct signals with variant signal lengths of N and sparsity of m. The algorithm is divided into three kernels. Each kernel is parallelized to reduce execution time, whereas efficient reuse of the matrix operators allows us to reduce area. Matrix operations are efficiently paralellized by taking advantage of blocked algorithms. For demonstration purpose, all architectures reconstruct a 256-length signal with maximum sparsity of 8 using 64 measurements. Implementation on Xilinx Virtex-5 FPGA, requires 27.14 μs to reconstruct the signal using basic OMP. Whereas, with thresholding method it requires 18 μs. ASIC implementation reconstructs the signal in 13 μs. However, our custom many-core, operating at 1.18 GHz, takes 18.28 μs to complete. Our results show that compared to the previous published work of the same algorithm and matrix size, proposed architectures for FPGA and ASIC implementations perform 1.3x and 1.8x respectively faster. Also, the proposed many-core implementation performs 3000x faster than the CPU and 2000x faster than the GPU.

A comparison of two coaching approaches to enhance implementation of a recovery-oriented service model.

PubMed

Deane, Frank P; Andresen, Retta; Crowe, Trevor P; Oades, Lindsay G; Ciarrochi, Joseph; Williams, Virginia

2014-09-01

Moving to recovery-oriented service provision in mental health may entail retraining existing staff, as well as training new staff. This represents a substantial burden on organisations, particularly since transfer of training into practice is often poor. Follow-up supervision and/or coaching have been found to improve the implementation and sustainment of new approaches. We compared the effect of two coaching conditions, skills-based and transformational coaching, on the implementation of a recovery-oriented model following training. Training followed by coaching led to significant sustained improvements in the quality of care planning in accordance with the new model over the 12-month study period. No interaction effect was observed between the two conditions. However, post hoc analyses suggest that transformational coaching warrants further exploration. The results support the provision of supervision in the form of coaching in the implementation of a recovery-oriented service model, and suggest the need to better elucidate the mechanisms within different coaching approaches that might contribute to improved care.

Building Capacity for Protected Area Management in Lao PDR

NASA Astrophysics Data System (ADS)

Rao, Madhu; Johnson, Arlyne; Spence, Kelly; Sypasong, Ahnsany; Bynum, Nora; Sterling, Eleanor; Phimminith, Thavy; Praxaysombath, Bounthob

2014-04-01

Declining biodiversity in protected areas in Laos is attributed to unsustainable exploitation of natural resources. At a basic level, an important need is to develop capacity in academic and professional training institutions to provide relevant training to conservation professionals. The paper (a) describes the capacity building approach undertaken to achieve this goal, (b) evaluates the effectiveness of the approach in building capacity for implementing conservation and (c) reviews implementation outcomes. Strong linkages between organizations implementing field conservation, professional training institutions, and relevant Government agencies are central to enhancing effectiveness of capacity building initiatives aimed at improving the practice of conservation. Protected area management technical capacity needs will need to directly influence curriculum design to insure both relevance and effectiveness of training in improving protected area management. Sustainability of capacity building initiatives is largely dependent on the level of interest and commitment by host-country institutions within a supportive Government policy framework in addition to engagement of organizations implementing conservation.

Implementation outcomes of military provider training in cognitive processing therapy and prolonged exposure therapy for post-traumatic stress disorder.

PubMed

Borah, Elisa V; Wright, Edward C; Donahue, D Allen; Cedillos, Elizabeth M; Riggs, David S; Isler, William C; Peterson, Alan L

2013-09-01

Between 2006 and 2012, the Department of Defense trained thousands of military mental health providers in the use of evidence-based treatments for post-traumatic stress disorder. Most providers were trained in multiday workshops that focused on the use of Cognitive Processing Therapy and Prolonged Exposure. This study is a follow-up evaluation of the implementation practices of 103 Air Force mental health providers. A survey was administered online to workshop participants; 34.2% of participants responded. Findings on treatment implementation with the providers indicated that a majority of respondents found the trainings valuable and were interested in using the treatments, yet they reported a lack of time in their clinic appointment structure to support their use. Insufficient supervision was also cited as a barrier to treatment use. Results suggest the need to improve strategies for implementing evidence-based practices with providers to enhance clinical outcomes in military settings. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

Building capacity for protected area management in Lao PDR.

PubMed

Rao, Madhu; Johnson, Arlyne; Spence, Kelly; Sypasong, Ahnsany; Bynum, Nora; Sterling, Eleanor; Phimminith, Thavy; Praxaysombath, Bounthob

2014-04-01

Declining biodiversity in protected areas in Laos is attributed to unsustainable exploitation of natural resources. At a basic level, an important need is to develop capacity in academic and professional training institutions to provide relevant training to conservation professionals. The paper (a) describes the capacity building approach undertaken to achieve this goal, (b) evaluates the effectiveness of the approach in building capacity for implementing conservation and (c) reviews implementation outcomes. Strong linkages between organizations implementing field conservation, professional training institutions, and relevant Government agencies are central to enhancing effectiveness of capacity building initiatives aimed at improving the practice of conservation. Protected area management technical capacity needs will need to directly influence curriculum design to insure both relevance and effectiveness of training in improving protected area management. Sustainability of capacity building initiatives is largely dependent on the level of interest and commitment by host-country institutions within a supportive Government policy framework in addition to engagement of organizations implementing conservation.

High efficient optical remote sensing images acquisition for nano-satellite: reconstruction algorithms

NASA Astrophysics Data System (ADS)

Liu, Yang; Li, Feng; Xin, Lei; Fu, Jie; Huang, Puming

2017-10-01

Large amount of data is one of the most obvious features in satellite based remote sensing systems, which is also a burden for data processing and transmission. The theory of compressive sensing(CS) has been proposed for almost a decade, and massive experiments show that CS has favorable performance in data compression and recovery, so we apply CS theory to remote sensing images acquisition. In CS, the construction of classical sensing matrix for all sparse signals has to satisfy the Restricted Isometry Property (RIP) strictly, which limits applying CS in practical in image compression. While for remote sensing images, we know some inherent characteristics such as non-negative, smoothness and etc.. Therefore, the goal of this paper is to present a novel measurement matrix that breaks RIP. The new sensing matrix consists of two parts: the standard Nyquist sampling matrix for thumbnails and the conventional CS sampling matrix. Since most of sun-synchronous based satellites fly around the earth 90 minutes and the revisit cycle is also short, lots of previously captured remote sensing images of the same place are available in advance. This drives us to reconstruct remote sensing images through a deep learning approach with those measurements from the new framework. Therefore, we propose a novel deep convolutional neural network (CNN) architecture which takes in undersampsing measurements as input and outputs an intermediate reconstruction image. It is well known that the training procedure to the network costs long time, luckily, the training step can be done only once, which makes the approach attractive for a host of sparse recovery problems.

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

NASA Astrophysics Data System (ADS)

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

2018-02-01

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

Exploiting Symmetry on Parallel Architectures.

NASA Astrophysics Data System (ADS)

Stiller, Lewis Benjamin

1995-01-01

This thesis describes techniques for the design of parallel programs that solve well-structured problems with inherent symmetry. Part I demonstrates the reduction of such problems to generalized matrix multiplication by a group-equivariant matrix. Fast techniques for this multiplication are described, including factorization, orbit decomposition, and Fourier transforms over finite groups. Our algorithms entail interaction between two symmetry groups: one arising at the software level from the problem's symmetry and the other arising at the hardware level from the processors' communication network. Part II illustrates the applicability of our symmetry -exploitation techniques by presenting a series of case studies of the design and implementation of parallel programs. First, a parallel program that solves chess endgames by factorization of an associated dihedral group-equivariant matrix is described. This code runs faster than previous serial programs, and discovered it a number of results. Second, parallel algorithms for Fourier transforms for finite groups are developed, and preliminary parallel implementations for group transforms of dihedral and of symmetric groups are described. Applications in learning, vision, pattern recognition, and statistics are proposed. Third, parallel implementations solving several computational science problems are described, including the direct n-body problem, convolutions arising from molecular biology, and some communication primitives such as broadcast and reduce. Some of our implementations ran orders of magnitude faster than previous techniques, and were used in the investigation of various physical phenomena.

Looking Forward: The Promise of Widespread Implementation of Parent Training Programs

PubMed Central

Forgatch, Marion S.; Patterson, Gerald R.; Gewirtz, Abigail H.

2013-01-01

Over the past quarter century a body of parent training programs has been developed and validated as effective in reducing child behavior problems, but few of these have made their way into routine practice. This article describes the long and winding road of implementation as applied to children's mental health. Adopting Rogers' (1995) diffusion framework and Fixsen and colleagues' implementation framework (Fixsen, Naoom, Blase, Friedman, & Wallace, 2005), we review more than a decade of research on the implementation of Parent Management Training – Oregon Model (PMTO®). Data from US and international PMTO implementations are used to illustrate the payoffs and the challenges of making empirically supported interventions routine practice in the community. Technological advances that break down barriers to communication across distances, the availability of efficacious programs suitable for implementation, and the urgent need for high quality mental health care provide strong rationales for prioritizing attention to implementation. Over the next quarter of a century, the challenge is to reduce the prevalence of children's psychopathology by creating science-based delivery systems to reach families in need, everywhere. PMID:24443650

On distribution reduction and algorithm implementation in inconsistent ordered information systems.

PubMed

Zhang, Yanqin

2014-01-01

As one part of our work in ordered information systems, distribution reduction is studied in inconsistent ordered information systems (OISs). Some important properties on distribution reduction are studied and discussed. The dominance matrix is restated for reduction acquisition in dominance relations based information systems. Matrix algorithm for distribution reduction acquisition is stepped. And program is implemented by the algorithm. The approach provides an effective tool for the theoretical research and the applications for ordered information systems in practices. For more detailed and valid illustrations, cases are employed to explain and verify the algorithm and the program which shows the effectiveness of the algorithm in complicated information systems.

Comparison of Conjugate Gradient Density Matrix Search and Chebyshev Expansion Methods for Avoiding Diagonalization in Large-Scale Electronic Structure Calculations

NASA Technical Reports Server (NTRS)

Bates, Kevin R.; Daniels, Andrew D.; Scuseria, Gustavo E.

1998-01-01

We report a comparison of two linear-scaling methods which avoid the diagonalization bottleneck of traditional electronic structure algorithms. The Chebyshev expansion method (CEM) is implemented for carbon tight-binding calculations of large systems and its memory and timing requirements compared to those of our previously implemented conjugate gradient density matrix search (CG-DMS). Benchmark calculations are carried out on icosahedral fullerenes from C60 to C8640 and the linear scaling memory and CPU requirements of the CEM demonstrated. We show that the CPU requisites of the CEM and CG-DMS are similar for calculations with comparable accuracy.

Effective correlator for RadioAstron project

NASA Astrophysics Data System (ADS)

Sergeev, Sergey

This paper presents the implementation of programme FX-correlator for Very Long Baseline Interferometry, adapted for the project "RadioAstron". Software correlator implemented for heterogeneous computing systems using graphics accelerators. It is shown that for the task interferometry implementation of the graphics hardware has a high efficiency. The host processor of heterogeneous computing system, performs the function of forming the data flow for graphics accelerators, the number of which corresponds to the number of frequency channels. So, for the Radioastron project, such channels is seven. Each accelerator is perform correlation matrix for all bases for a single frequency channel. Initial data is converted to the floating-point format, is correction for the corresponding delay function and computes the entire correlation matrix simultaneously. Calculation of the correlation matrix is performed using the sliding Fourier transform. Thus, thanks to the compliance of a solved problem for architecture graphics accelerators, managed to get a performance for one processor platform Kepler, which corresponds to the performance of this task, the computing cluster platforms Intel on four nodes. This task successfully scaled not only on a large number of graphics accelerators, but also on a large number of nodes with multiple accelerators.

A new implementation of the CMRH method for solving dense linear systems

NASA Astrophysics Data System (ADS)

Heyouni, M.; Sadok, H.

2008-04-01

The CMRH method [H. Sadok, Methodes de projections pour les systemes lineaires et non lineaires, Habilitation thesis, University of Lille1, Lille, France, 1994; H. Sadok, CMRH: A new method for solving nonsymmetric linear systems based on the Hessenberg reduction algorithm, Numer. Algorithms 20 (1999) 303-321] is an algorithm for solving nonsymmetric linear systems in which the Arnoldi component of GMRES is replaced by the Hessenberg process, which generates Krylov basis vectors which are orthogonal to standard unit basis vectors rather than mutually orthogonal. The iterate is formed from these vectors by solving a small least squares problem involving a Hessenberg matrix. Like GMRES, this method requires one matrix-vector product per iteration. However, it can be implemented to require half as much arithmetic work and less storage. Moreover, numerical experiments show that this method performs accurately and reduces the residual about as fast as GMRES. With this new implementation, we show that the CMRH method is the only method with long-term recurrence which requires not storing at the same time the entire Krylov vectors basis and the original matrix as in the GMRES algorithmE A comparison with Gaussian elimination is provided.

5 CFR 410.308 - Training to obtain an academic degree.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 1 2011-01-01 2011-01-01 false Training to obtain an academic degree... REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.308 Training to obtain an academic degree. (a) An agency may authorize training for an employee to obtain an academic degree under...

5 CFR 410.308 - Training to obtain an academic degree.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 5 Administrative Personnel 1 2013-01-01 2013-01-01 false Training to obtain an academic degree... REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.308 Training to obtain an academic degree. (a) An agency may authorize training for an employee to obtain an academic degree under...

5 CFR 410.308 - Training to obtain an academic degree.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Training to obtain an academic degree... REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.308 Training to obtain an academic degree. (a) An agency may authorize training for an employee to obtain an academic degree under...

5 CFR 410.308 - Training to obtain an academic degree.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 5 Administrative Personnel 1 2012-01-01 2012-01-01 false Training to obtain an academic degree... REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.308 Training to obtain an academic degree. (a) An agency may authorize training for an employee to obtain an academic degree under...

5 CFR 410.308 - Training to obtain an academic degree.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 5 Administrative Personnel 1 2014-01-01 2014-01-01 false Training to obtain an academic degree... REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.308 Training to obtain an academic degree. (a) An agency may authorize training for an employee to obtain an academic degree under...

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

USGS Publications Warehouse

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

2004-01-01

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

Implementing dense linear algebra algorithms using multitasking on the CRAY X-MP-4 (or approaching the gigaflop)

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

Dongarra, J.J.; Hewitt, T.

1985-08-01

This note describes some experiments on simple, dense linear algebra algorithms. These experiments show that the CRAY X-MP is capable of small-grain multitasking arising from standard implementations of LU and Cholesky decomposition. The implementation described here provides the ''fastest'' execution rate for LU decomposition, 718 MFLOPS for a matrix of order 1000.

Sustainable Library Development Training Package

ERIC Educational Resources Information Center

Peace Corps, 2012

2012-01-01

This Sustainable Library Development Training Package supports Peace Corps' Focus In/Train Up strategy, which was implemented following the 2010 Comprehensive Agency Assessment. Sustainable Library Development is a technical training package in Peace Corps programming within the Education sector. The training package addresses the Volunteer…

Process and implementation of participatory ergonomic interventions: a systematic review.

PubMed

van Eerd, Dwayne; Cole, Donald; Irvin, Emma; Mahood, Quenby; Keown, Kiera; Theberge, Nancy; Village, Judy; St Vincent, Marie; Cullen, Kim

2010-10-01

Participatory ergonomic (PE) interventions may vary in implementation. A systematic review was done to determine the evidence regarding context, barriers and facilitators to the implementation of participatory ergonomic interventions in workplaces. In total, 17 electronic databases were searched. Data on PE process and implementation were extracted from documents meeting content and quality criteria and synthesised. The search yielded 2151 references. Of these, 190 documents were relevant and 52 met content and quality criteria. Different ergonomic teams were described in the documents as were the type, duration and content of ergonomic training. PE interventions tended to focus on physical and work process changes and report positive impacts. Resources, programme support, ergonomic training, organisational training and communication were the most often noted facilitators or barriers. Successful PE interventions require the right people to be involved, appropriate ergonomic training and clear responsibilities. Addressing key facilitators and barriers such as programme support, resources, and communication is paramount. STATEMENT OF RELEVANCE: A recent systematic review has suggested that PE has some effect on reducing symptoms, lost days of work and claims. Systematic reviews of effectiveness provide practitioners with the desire to implement but do not provide clear information about how. This article reviews the literature on process and implementation of PE.

Implementation of the Hammersmith Infant Neurological Exam in a High-Risk Infant Follow-Up Program

PubMed Central

Maitre, Nathalie L; Chorna, Olena; Romeo, Domenico M; Guzzetta, Andrea

2017-01-01

Background High-Risk Infant Follow-Up (HRIF) programs provide early identification and referral for treatment of neurodevelopmental delays and impairments. In these programs, a standardized neurological exam is a critical component of evaluation for clinical and research purposes. Implementation To address primary challenges of provider educational diversity and standardized documentation, we designed an approach to training and implementation of the Hammersmith Infant Neurological Exam (HINE) with pre-course materials, a workshop model and adaptation of the electronic medical record. Conclusions Provider completion and documentation of a neurologic exam were evaluated before and after HINE training. Standardized training and implementation of the HINE in a large HRIF is feasible and effective and allows for quantitative evaluation of neurological findings and developmental trajectories. PMID:27765470

Initial investigation of organisational factors associated with the implementation of active support.

PubMed

Fyffe, Chris; McCubbery, Jeffrey; Reid, Katharine J

2008-09-01

Active support (AS) has been shown to increase the amount of time that residents in shared residential settings are involved in purposeful activities. The organisational processes required to implement AS have been less well researched. Staff in community houses answered questions about the occurrence of organisational activities and processes thought to assist AS implementation (e.g., training and teamwork), their understanding of engagement, and their experience of changes in staff practice consistent with AS (including implementation problems). Non-house-based managers were also interviewed about their role in AS implementation. Reported occurrence of organisational activities and processes (e.g., training and teamwork) and understanding of engagement were associated with more reports of changes in staff practice and fewer staff reports of implementation problems. Staff reports on the role of non-house-based managers were not associated with reports of changes in staff practice or with reports of fewer AS implementation problems. Non-house-based managers' reports overestimated their role in AS implementation when compared with reports from house-based staff groups. While there are limitations in the research design (including the reliance on staff reports), the findings support the importance of wider organisational factors (beyond training programs for direct support staff) as integral to the implementation of AS. There is a need for further research on AS implementation.

Efficient multitasking of Choleski matrix factorization on CRAY supercomputers

NASA Technical Reports Server (NTRS)

Overman, Andrea L.; Poole, Eugene L.

1991-01-01

A Choleski method is described and used to solve linear systems of equations that arise in large scale structural analysis. The method uses a novel variable-band storage scheme and is structured to exploit fast local memory caches while minimizing data access delays between main memory and vector registers. Several parallel implementations of this method are described for the CRAY-2 and CRAY Y-MP computers demonstrating the use of microtasking and autotasking directives. A portable parallel language, FORCE, is used for comparison with the microtasked and autotasked implementations. Results are presented comparing the matrix factorization times for three representative structural analysis problems from runs made in both dedicated and multi-user modes on both computers. CPU and wall clock timings are given for the parallel implementations and are compared to single processor timings of the same algorithm.

Speech to Text Translation for Malay Language

NASA Astrophysics Data System (ADS)

Al-khulaidi, Rami Ali; Akmeliawati, Rini

2017-11-01

The speech recognition system is a front end and a back-end process that receives an audio signal uttered by a speaker and converts it into a text transcription. The speech system can be used in several fields including: therapeutic technology, education, social robotics and computer entertainments. In most cases in control tasks, which is the purpose of proposing our system, wherein the speed of performance and response concern as the system should integrate with other controlling platforms such as in voiced controlled robots. Therefore, the need for flexible platforms, that can be easily edited to jibe with functionality of the surroundings, came to the scene; unlike other software programs that require recording audios and multiple training for every entry such as MATLAB and Phoenix. In this paper, a speech recognition system for Malay language is implemented using Microsoft Visual Studio C#. 90 (ninety) Malay phrases were tested by 10 (ten) speakers from both genders in different contexts. The result shows that the overall accuracy (calculated from Confusion Matrix) is satisfactory as it is 92.69%.

A senior manager with a knowledge management portfolio: the Santa Clara County experience.

PubMed

Lindberg, Arley

2012-01-01

The agency director sought to create a systematically coordinated department that utilizes knowledge management strategies to promote evidence-informed practice. In his view, the organization was not providing needed information or organizational supports for practitioners to use knowledge effectively. To address this issue, he created a Director of Development and Operational Planning (DDOP) position with the responsibility to build structures and facilitate processes that support knowledge management. The DDOP oversees research and planning, government relations, legislative development and support, Board of Supervisors communications, staff development and training, community contracts, public information and in-house communication. The DDOP is reorganizing units under her supervision to create a knowledge management matrix that will implement new knowledge sharing strategies related to evaluation, contracts, legislation, organizational development, policy and planning, and staff development. The case study describes challenges and strategies related to: government regulations, size and complexity of the agency, staff resistance, and the developmental nature of the process. Copyright © Taylor & Francis Group, LLC

Development, Implementation, and Evaluation of Leadership/Management Training within Army Battalions. Volume 2. Technical Appendices

DTIC Science & Technology

1975-06-01

8217- r AD-A012 774 DEVELOPMENT, IMPLEMENTATION, AND EVALUATION OF LEADERSHIP / MANAGEMENT TRAINING WITHIN ARMY BATTALIONS. VOLUME 2. TECHNICAL...and Identify by block numbera) This report describes the development and eva.L.uuLion of an experiential-based, leadership / management trai iing...organizational intervention and change similar to that presented in Figure H-1. According to this approach, training in more effective leadership / management skills

Development of an existential support training program for healthcare professionals.

PubMed

Henoch, Ingela; Strang, Susann; Browall, Maria; Danielson, Ella; Melin-Johansson, Christina

2015-12-01

Our aim was to describe the developmental process of a training program for nurses to communicate existential issues with severely ill patients. The Medical Research Council (MRC) framework for the development and evaluation of complex interventions was used to develop a training program for nurses to communicate about existential issues with their patients. The steps in the framework were employed to describe the development of the training intervention, and the development, feasibility and piloting, evaluation, and implementation phases. The development and feasibility phases are described in the Methods section. The evaluation and implementation phases are described in the Results section. In the evaluation phase, the effectiveness of the intervention was shown as nurses' confidence in communication increased after training. The understanding of the change process was considered to be that the nurses could describe their way of communicating in terms of prerequisites, process, and content. Some efforts have been made to implement the training intervention, but these require further elaboration. Existential and spiritual issues are very important to severely ill patients, and healthcare professionals need to be attentive to such questions. It is important that professionals be properly prepared when patients need this communication. An evidence-based training intervention could provide such preparation. Healthcare staff were able to identify situations where existential issues were apparent, and they reported that their confidence in communication about existential issues increased after attending a short-term training program that included reflection. In order to design a program that should be permanently implemented, more knowledge is needed of patients' perceptions of the quality of the healthcare staff's existential support.

Nationally Certified School Psychologists' use and reported barriers to using evidence-based interventions in schools: the influence of graduate program training and education.

PubMed

Hicks, Taylor B; Shahidullah, Jeffrey D; Carlson, John S; Palejwala, Mohammed H

2014-12-01

The purpose of this study was to empirically investigate Nationally Certified School Psychologists' (NCSP) training in and use of evidence-based interventions (EBIs) for child behavior concerns as well as their reported implementation barriers. A modified Tailored Design Method (TDM; Dillman, Smyth, & Christian, 2009) using up to four mail-based participant contacts was used to obtain survey data (72% usable response rate; n = 392) from a randomly selected national sample of 548 currently practicing NCSPs. Lack of time was rated as the most serious barrier to behavioral EBI implementation, followed by a lack of necessary resources, and financial constraints. Nearly three-quarters (71%) of respondents reported a perceived inadequacy of graduate program training in behavioral EBIs, with a statistically significant difference found between respondents who attended American Psychological Association (APA)-accredited/National Association of School Psychologists (NASP)-approved programs and those who did not. These findings highlight the significant barriers school psychologists encounter when attempting to implement behavioral EBIs within applied practice, as well as the importance of graduate program training in implementation science. Implications for training, practice, and research are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Implementing an Online Vocabulary Training Program

ERIC Educational Resources Information Center

Robertson, Charles E.

2015-01-01

Although vocabulary acquisition research has shed much light on practical methods for increasing lexical knowledge (Nation, 1994), many foreign language teachers hesitate to implement focused vocabulary-training programs in their classrooms. The reasons most often cited for this hesitation are associated with the difficult tasks of creating,…

Design and Implementation Skills for Social Innovation.

ERIC Educational Resources Information Center

Tornatzky, Louis G.; Fairweather, George W.

New models of research and training combined with dissemination techniques can contribute to relevant social change. The Ecological Psychology Program at Michigan State University, a graduate training program which focuses on model building and implementation research, offers ideas on the plausability of social programming. The process would…

49 CFR 236.1011 - PTC Implementation Plan content requirements.

Code of Federal Regulations, 2012 CFR

2012-10-01

... technology embedded in PTC systems that does not employ all of the functionalities required by this subpart... INSTALLATION, INSPECTION, MAINTENANCE, AND REPAIR OF SIGNAL AND TRAIN CONTROL SYSTEMS, DEVICES, AND APPLIANCES Positive Train Control Systems § 236.1011 PTC Implementation Plan content requirements. (a) Contents. A...

49 CFR 236.1011 - PTC Implementation Plan content requirements.

Code of Federal Regulations, 2014 CFR

2014-10-01

... technology embedded in PTC systems that does not employ all of the functionalities required by this subpart... INSTALLATION, INSPECTION, MAINTENANCE, AND REPAIR OF SIGNAL AND TRAIN CONTROL SYSTEMS, DEVICES, AND APPLIANCES Positive Train Control Systems § 236.1011 PTC Implementation Plan content requirements. (a) Contents. A...

49 CFR 236.1011 - PTC Implementation Plan content requirements.

Code of Federal Regulations, 2013 CFR

2013-10-01

... technology embedded in PTC systems that does not employ all of the functionalities required by this subpart... INSTALLATION, INSPECTION, MAINTENANCE, AND REPAIR OF SIGNAL AND TRAIN CONTROL SYSTEMS, DEVICES, AND APPLIANCES Positive Train Control Systems § 236.1011 PTC Implementation Plan content requirements. (a) Contents. A...

NEW TRAINING PARADIGM IN THE NATIONAL WEATHER SERVICE LeRoy Spayd Chief, Training Division NOAA/National Weather Service Silver Spring, Maryland

NASA Astrophysics Data System (ADS)

Spayd, L. E.

2012-12-01

The National Weather Service (NWS) implemented a new Learning Management System (LMS) in June 2007 as part of a Department of Commerce (DOC)-wide Learning Center (CLC). One of the key goals of this LMS was to provide accessible, low-cost training to develop and sustain a world-class NOAA workforce. Five years of training records have been analyzed for trends and accomplishments have been summarized. The NWS leads the entire DOC in usage of this LMS. NWS workforce of 4500 employees complete over 50,000 courses per year and account for over 40% of DOC completions even though the NWS represents only 12% of the users. This paper will highlight the lessons learned in implementing training in a diverse and widespread organization. The paper will also highlight the critical role of management engagement in setting expectations for training and education which resulted in service improvements to the public. This paper also address future training trends as the NWS moves forward in implementing NOAA's Strategic Plan to make this country a WeatherReady Nation. A mix of how synchronous/asynchronous and classroom/on-line/hybrid learning options is explained.;

[Characteristics, advantages, and limits of matrix tests].

PubMed

Brand, T; Wagener, K C

2017-03-01

Deterioration of communication abilities due to hearing problems is particularly relevant in listening situations with noise. Therefore, speech intelligibility tests in noise are required for audiological diagnostics and evaluation of hearing rehabilitation. This study analyzed the characteristics of matrix tests assessing the 50 % speech recognition threshold in noise. What are their advantages and limitations? Matrix tests are based on a matrix of 50 words (10 five-word sentences with same grammatical structure). In the standard setting, 20 sentences are presented using an adaptive procedure estimating the individual 50 % speech recognition threshold in noise. At present, matrix tests in 17 different languages are available. A high international comparability of matrix tests exists. The German language matrix test (OLSA, male speaker) has a reference 50 % speech recognition threshold of -7.1 (± 1.1) dB SNR. Before using a matrix test for the first time, the test person has to become familiar with the basic speech material using two training lists. Hereafter, matrix tests produce constant results even if repeated many times. Matrix tests are suitable for users of hearing aids and cochlear implants, particularly for assessment of benefit during the fitting process. Matrix tests can be performed in closed form and consequently with non-native listeners, even if the experimenter does not speak the test person's native language. Short versions of matrix tests are available for listeners with a shorter memory span, e.g., children.

K-9 training aids made using additive manufacturing

DOEpatents

Reynolds, John G.; Durban, Matthew M.; Gash, Alexander E.; Grapes, Michael D.; Kelley, Ryan S.; Sullivan, Kyle T.

2018-02-20

Additive Manufacturing (AM) is used to make aids that target the training of K-9s to detect explosives. The process uses mixtures of explosives and matrices commonly used in AM. The explosives are formulated into a mixture with the matrix and printed using AM techniques and equipment. The explosive concentrations are kept less than 10% by wt. of the mixture to conform to requirements of shipping and handling.

Data Selection for Within-Class Covariance Estimation

DTIC Science & Technology

2016-09-08

NIST evaluations to train the within- class and across-class covariance matrices required by these techniques, little attention has been paid to the...multiple utterances from a large population of speakers. Fortunately, participants in NIST evaluations have access to a repository of legacy data from...utterances chosen from previous NIST evaluations. Training data for the UBM and T-matrix was obtained from the NIST Switchboard 2 phases 2-5 and

Beyond teacher training: the critical role of professional development in maintaining curriculum fidelity.

PubMed

LaChausse, Robert G; Clark, Kim R; Chapple, Sabrina

2014-03-01

To examine how teacher characteristics affected program fidelity in an impact evaluation study of the Positive Prevention PLUS program, and to propose a comprehensive teacher training and professional development structure to increase program fidelity. Curriculum fidelity logs, lesson observations, and teacher surveys were used to measure teacher characteristics and implementation fidelity including adherence, adaptation, and lesson quality. Compared with non-health credentialed teachers, credential health education teachers had greater comfort and self-efficacy regarding sex-related instruction. Teacher self-efficacy and comfort were significant predictors of adherence. Implementation fidelity may be linked to teacher characteristics that can be enhanced during curriculum training. A 2-day teacher training may not adequately address teacher facilitation skills or the maintenance of institutional supports for implementing a program with fidelity and quality. A new model of comprehensive teacher training and support is offered. This new training infrastructure is intended to contribute to the school district's institutionalization of higher-quality comprehensive sexual health education and increase program fidelity. Copyright © 2014 Society for Adolescent Health and Medicine. All rights reserved.

The relationship between intelligence and training gains is moderated by training strategy.

PubMed

Lee, Hyunkyu; Boot, Walter R; Baniqued, Pauline L; Voss, Michelle W; Prakash, Ruchika Shaurya; Basak, Chandramallika; Kramer, Arthur F

2015-01-01

We examined the relationship between training regimen and fluid intelligence in the learning of a complex video game. Fifty non-game-playing young adults were trained on a game called Space Fortress for 30 hours with one of two training regimens: (1) Hybrid Variable-Priority Training (HVT), with part-task training and a focus on improving specific skills and managing task priorities, and (2) Full Emphasis Training (FET) in which participants practiced the whole game to obtain the highest overall score. Fluid intelligence was measured with the Raven's Progressive Matrix task before training. With FET, fluid intelligence was positively associated with learning, suggesting that intellectual ability played a substantial role in determining individual differences in training success. In contrast, with HVT, fluid intelligence was not associated with learning, suggesting that individual differences in fluid intelligence do not factor into training success in a regimen that emphasizes component tasks and flexible task coordination. By analyzing training effects in terms of individual differences and training regimens, the current study offers a training approach that minimizes the potentially limiting effect of individual differences.

Cardiopulmonary reflex, cardiac cytokines, and nandrolone decanoate: response to resistance training in rats.

PubMed

Lima, Ewelyne Miranda; Nascimento, Andrews Marques; Brasil, Girlandia Alexandre; Kalil, Ieda Carneiro; Lenz, Dominik; Endringer, Denise Coutinho; Andrade, Tadeu Uggere; Bissoli, Nazaré Souza

2015-11-01

This study evaluated the effects of nandrolone associated with resistance training (RT) on cardiac cytokines, angiotensin-converting enzyme activity (ACEA), and the sensitivity of the Bezold-Jarisch reflex (BJR). Male Wistar rats were divided into 3 groups: CONT (received vehicle, no training); EXERC (RT: after one week of water adaptation, rats were exercised by jumping into water twice a week for 4 weeks), and ND+EXERC (received nandrolone decanoate 10 mg/kg, twice/week, i.m, associated with RT). The BJR was analysed by measuring bradycardic and hypotensive responses elicited by serotonin administration. Myocyte hypertrophy and matrix collagen deposition were determined by morphometric analysis of H&E and picrosirius red-stained samples, respectively. TNF-α and ACEA were also studied. RT promoted physiological myocyte hyrpertrophy but did not cause changes in the other parameters. The association of ND with RT increased myocyte hypertrophy, deposition of matrix type I collagen, TNF-α and ACEA; decreased IL-10, and impairment in the BJR were observed in ND+EXERC compared with CONT and EXERC. ND is associated with alterations in cardiac structure and function as a result of the development of pathological cardiac hypertrophy (cardiac cytokine imbalance, elevation of ACEA) and cardiac injury, even when combined with resistance training.

5 CFR 410.304 - Funding training programs.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 1 2011-01-01 2011-01-01 false Funding training programs. 410.304 Section 410.304 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT CIVIL SERVICE REGULATIONS TRAINING Establishing and Implementing Training Programs § 410.304 Funding training programs. Section 4112 of title 5...

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.

Principal Component Geostatistical Approach for large-dimensional inverse problems

PubMed Central

Kitanidis, P K; Lee, J

2014-01-01

The quasi-linear geostatistical approach is for weakly nonlinear underdetermined inverse problems, such as Hydraulic Tomography and Electrical Resistivity Tomography. It provides best estimates as well as measures for uncertainty quantification. However, for its textbook implementation, the approach involves iterations, to reach an optimum, and requires the determination of the Jacobian matrix, i.e., the derivative of the observation function with respect to the unknown. Although there are elegant methods for the determination of the Jacobian, the cost is high when the number of unknowns, m, and the number of observations, n, is high. It is also wasteful to compute the Jacobian for points away from the optimum. Irrespective of the issue of computing derivatives, the computational cost of implementing the method is generally of the order of m2n, though there are methods to reduce the computational cost. In this work, we present an implementation that utilizes a matrix free in terms of the Jacobian matrix Gauss-Newton method and improves the scalability of the geostatistical inverse problem. For each iteration, it is required to perform K runs of the forward problem, where K is not just much smaller than m but can be smaller that n. The computational and storage cost of implementation of the inverse procedure scales roughly linearly with m instead of m2 as in the textbook approach. For problems of very large m, this implementation constitutes a dramatic reduction in computational cost compared to the textbook approach. Results illustrate the validity of the approach and provide insight in the conditions under which this method perform best. PMID:25558113

Principal Component Geostatistical Approach for large-dimensional inverse problems.

PubMed

Kitanidis, P K; Lee, J

2014-07-01

The quasi-linear geostatistical approach is for weakly nonlinear underdetermined inverse problems, such as Hydraulic Tomography and Electrical Resistivity Tomography. It provides best estimates as well as measures for uncertainty quantification. However, for its textbook implementation, the approach involves iterations, to reach an optimum, and requires the determination of the Jacobian matrix, i.e., the derivative of the observation function with respect to the unknown. Although there are elegant methods for the determination of the Jacobian, the cost is high when the number of unknowns, m , and the number of observations, n , is high. It is also wasteful to compute the Jacobian for points away from the optimum. Irrespective of the issue of computing derivatives, the computational cost of implementing the method is generally of the order of m 2 n , though there are methods to reduce the computational cost. In this work, we present an implementation that utilizes a matrix free in terms of the Jacobian matrix Gauss-Newton method and improves the scalability of the geostatistical inverse problem. For each iteration, it is required to perform K runs of the forward problem, where K is not just much smaller than m but can be smaller that n . The computational and storage cost of implementation of the inverse procedure scales roughly linearly with m instead of m 2 as in the textbook approach. For problems of very large m , this implementation constitutes a dramatic reduction in computational cost compared to the textbook approach. Results illustrate the validity of the approach and provide insight in the conditions under which this method perform best.

GPU-accelerated adjoint algorithmic differentiation

NASA Astrophysics Data System (ADS)

Gremse, Felix; Höfter, Andreas; Razik, Lukas; Kiessling, Fabian; Naumann, Uwe

2016-03-01

Many scientific problems such as classifier training or medical image reconstruction can be expressed as minimization of differentiable real-valued cost functions and solved with iterative gradient-based methods. Adjoint algorithmic differentiation (AAD) enables automated computation of gradients of such cost functions implemented as computer programs. To backpropagate adjoint derivatives, excessive memory is potentially required to store the intermediate partial derivatives on a dedicated data structure, referred to as the ;tape;. Parallelization is difficult because threads need to synchronize their accesses during taping and backpropagation. This situation is aggravated for many-core architectures, such as Graphics Processing Units (GPUs), because of the large number of light-weight threads and the limited memory size in general as well as per thread. We show how these limitations can be mediated if the cost function is expressed using GPU-accelerated vector and matrix operations which are recognized as intrinsic functions by our AAD software. We compare this approach with naive and vectorized implementations for CPUs. We use four increasingly complex cost functions to evaluate the performance with respect to memory consumption and gradient computation times. Using vectorization, CPU and GPU memory consumption could be substantially reduced compared to the naive reference implementation, in some cases even by an order of complexity. The vectorization allowed usage of optimized parallel libraries during forward and reverse passes which resulted in high speedups for the vectorized CPU version compared to the naive reference implementation. The GPU version achieved an additional speedup of 7.5 ± 4.4, showing that the processing power of GPUs can be utilized for AAD using this concept. Furthermore, we show how this software can be systematically extended for more complex problems such as nonlinear absorption reconstruction for fluorescence-mediated tomography.

GPU-Accelerated Adjoint Algorithmic Differentiation.

PubMed

Gremse, Felix; Höfter, Andreas; Razik, Lukas; Kiessling, Fabian; Naumann, Uwe

2016-03-01

Many scientific problems such as classifier training or medical image reconstruction can be expressed as minimization of differentiable real-valued cost functions and solved with iterative gradient-based methods. Adjoint algorithmic differentiation (AAD) enables automated computation of gradients of such cost functions implemented as computer programs. To backpropagate adjoint derivatives, excessive memory is potentially required to store the intermediate partial derivatives on a dedicated data structure, referred to as the "tape". Parallelization is difficult because threads need to synchronize their accesses during taping and backpropagation. This situation is aggravated for many-core architectures, such as Graphics Processing Units (GPUs), because of the large number of light-weight threads and the limited memory size in general as well as per thread. We show how these limitations can be mediated if the cost function is expressed using GPU-accelerated vector and matrix operations which are recognized as intrinsic functions by our AAD software. We compare this approach with naive and vectorized implementations for CPUs. We use four increasingly complex cost functions to evaluate the performance with respect to memory consumption and gradient computation times. Using vectorization, CPU and GPU memory consumption could be substantially reduced compared to the naive reference implementation, in some cases even by an order of complexity. The vectorization allowed usage of optimized parallel libraries during forward and reverse passes which resulted in high speedups for the vectorized CPU version compared to the naive reference implementation. The GPU version achieved an additional speedup of 7.5 ± 4.4, showing that the processing power of GPUs can be utilized for AAD using this concept. Furthermore, we show how this software can be systematically extended for more complex problems such as nonlinear absorption reconstruction for fluorescence-mediated tomography.

GPU-Accelerated Adjoint Algorithmic Differentiation

PubMed Central

Gremse, Felix; Höfter, Andreas; Razik, Lukas; Kiessling, Fabian; Naumann, Uwe

2015-01-01

Many scientific problems such as classifier training or medical image reconstruction can be expressed as minimization of differentiable real-valued cost functions and solved with iterative gradient-based methods. Adjoint algorithmic differentiation (AAD) enables automated computation of gradients of such cost functions implemented as computer programs. To backpropagate adjoint derivatives, excessive memory is potentially required to store the intermediate partial derivatives on a dedicated data structure, referred to as the “tape”. Parallelization is difficult because threads need to synchronize their accesses during taping and backpropagation. This situation is aggravated for many-core architectures, such as Graphics Processing Units (GPUs), because of the large number of light-weight threads and the limited memory size in general as well as per thread. We show how these limitations can be mediated if the cost function is expressed using GPU-accelerated vector and matrix operations which are recognized as intrinsic functions by our AAD software. We compare this approach with naive and vectorized implementations for CPUs. We use four increasingly complex cost functions to evaluate the performance with respect to memory consumption and gradient computation times. Using vectorization, CPU and GPU memory consumption could be substantially reduced compared to the naive reference implementation, in some cases even by an order of complexity. The vectorization allowed usage of optimized parallel libraries during forward and reverse passes which resulted in high speedups for the vectorized CPU version compared to the naive reference implementation. The GPU version achieved an additional speedup of 7.5 ± 4.4, showing that the processing power of GPUs can be utilized for AAD using this concept. Furthermore, we show how this software can be systematically extended for more complex problems such as nonlinear absorption reconstruction for fluorescence-mediated tomography. PMID:26941443

Facilitating the implementation of the American College of Surgeons/Association of Program Directors in Surgery phase III skills curriculum: training faculty in the assessment of team skills.

PubMed

Hull, Louise; Arora, Sonal; Stefanidis, Dimitrios; Sevdalis, Nick

2015-11-01

Effective teamwork is critical to safety in the operating room; however, implementation of phase III of the American College of Surgeons (ACS) and Association of Program Directors in Surgery (APDS) Curriculum that focuses on team-based skills remains worryingly low. Training and assessing the complexities of teamwork is challenging. The objective of this study was to establish guidelines and recommendations for training faculty in assessing/debriefing team skills. A multistage survey-based consensus study was completed by 108 experts responsible for training and assessing surgical residents from the ACS Accredited Educational Institutes. Experts agreed that a program to teach faculty to assess team-based skills should include training in the recognition of teamwork skills, practice rating these skills, and training in the provision of feedback/debriefing. Agreement was reached that faculty responsible for conducting team-based skills assessment should be revalidated every 2 years and stringent proficiency criteria should be met. Faculty development is critical to ensure high-quality, standardized training and assessment. Training faculty to assess team-based skills has the potential to facilitate the effective implementation of phase III of the ACS and APDS Curriculum. Copyright © 2015 Elsevier Inc. All rights reserved.

Principal component reconstruction (PCR) for cine CBCT with motion learning from 2D fluoroscopy.

PubMed

Gao, Hao; Zhang, Yawei; Ren, Lei; Yin, Fang-Fang

2018-01-01

This work aims to generate cine CT images (i.e., 4D images with high-temporal resolution) based on a novel principal component reconstruction (PCR) technique with motion learning from 2D fluoroscopic training images. In the proposed PCR method, the matrix factorization is utilized as an explicit low-rank regularization of 4D images that are represented as a product of spatial principal components and temporal motion coefficients. The key hypothesis of PCR is that temporal coefficients from 4D images can be reasonably approximated by temporal coefficients learned from 2D fluoroscopic training projections. For this purpose, we can acquire fluoroscopic training projections for a few breathing periods at fixed gantry angles that are free from geometric distortion due to gantry rotation, that is, fluoroscopy-based motion learning. Such training projections can provide an effective characterization of the breathing motion. The temporal coefficients can be extracted from these training projections and used as priors for PCR, even though principal components from training projections are certainly not the same for these 4D images to be reconstructed. For this purpose, training data are synchronized with reconstruction data using identical real-time breathing position intervals for projection binning. In terms of image reconstruction, with a priori temporal coefficients, the data fidelity for PCR changes from nonlinear to linear, and consequently, the PCR method is robust and can be solved efficiently. PCR is formulated as a convex optimization problem with the sum of linear data fidelity with respect to spatial principal components and spatiotemporal total variation regularization imposed on 4D image phases. The solution algorithm of PCR is developed based on alternating direction method of multipliers. The implementation is fully parallelized on GPU with NVIDIA CUDA toolbox and each reconstruction takes about a few minutes. The proposed PCR method is validated and compared with a state-of-art method, that is, PICCS, using both simulation and experimental data with the on-board cone-beam CT setting. The results demonstrated the feasibility of PCR for cine CBCT and significantly improved reconstruction quality of PCR from PICCS for cine CBCT. With a priori estimated temporal motion coefficients using fluoroscopic training projections, the PCR method can accurately reconstruct spatial principal components, and then generate cine CT images as a product of temporal motion coefficients and spatial principal components. © 2017 American Association of Physicists in Medicine.

Training trainers in health and human rights: implementing curriculum change in South African health sciences institutions.

PubMed

Ewert, Elena G; Baldwin-Ragaven, Laurel; London, Leslie

2011-07-25

The complicity of the South African health sector in apartheid and the international relevance of human rights as a professional obligation prompted moves to include human rights competencies in the curricula of health professionals in South Africa. A Train-the-Trainers course in Health and Human Rights was established in 1998 to equip faculty members from health sciences institutions nationwide with the necessary skills, attitudes and knowledge to teach human rights to their students. This study followed up participants to determine the extent of curriculum implementation, support needed as well as barriers encountered in integrating human rights into health sciences teaching and learning. A survey including both quantitative and qualitative components was distributed in 2007 to past course participants from 1998-2006 via telephone, fax and electronic communication. Out of 162 past participants, 46 (28%) completed the survey, the majority of whom were still employed in academic settings (67%). Twenty-two respondents (48%) implemented a total of 33 formal human rights courses into the curricula at their institutions. Respondents were nine times more likely (relative risk 9.26; 95% CI 5.14-16.66) to implement human rights education after completing the training. Seventy-two extracurricular activities were offered by 21 respondents, many of whom had successfully implemented formal curricula. Enabling factors for implementation included: prior teaching experience in human rights, general institutional support and the presence of allies - most commonly coworkers as well as deans. Frequently cited barriers to implementation included: budget restrictions, time constraints and perceived apathy of colleagues or students. Overall, respondents noted personal enrichment and optimism in teaching human rights. This Train-the-Trainer course provides the historical context, educational tools, and collective motivation to incorporate human rights educational initiatives at health sciences institutions. Increased implementation of human rights instruction, both formally and extracurricularly, has demonstrated the training's significance not only within academic institutions but more broadly across the health sector. Coworkers are vital allies in teaching human rights to health sciences students, helping to alleviate institutional barriers. Training fellow staff members and those in key leadership roles is noted as vital to the sustainability of human rights education.

Training Trainers in health and human rights: Implementing curriculum change in South African health sciences institutions

PubMed Central

2011-01-01

Background The complicity of the South African health sector in apartheid and the international relevance of human rights as a professional obligation prompted moves to include human rights competencies in the curricula of health professionals in South Africa. A Train-the-Trainers course in Health and Human Rights was established in 1998 to equip faculty members from health sciences institutions nationwide with the necessary skills, attitudes and knowledge to teach human rights to their students. This study followed up participants to determine the extent of curriculum implementation, support needed as well as barriers encountered in integrating human rights into health sciences teaching and learning. Methods A survey including both quantitative and qualitative components was distributed in 2007 to past course participants from 1998-2006 via telephone, fax and electronic communication. Results Out of 162 past participants, 46 (28%) completed the survey, the majority of whom were still employed in academic settings (67%). Twenty-two respondents (48%) implemented a total of 33 formal human rights courses into the curricula at their institutions. Respondents were nine times more likely (relative risk 9.26; 95% CI 5.14-16.66) to implement human rights education after completing the training. Seventy-two extracurricular activities were offered by 21 respondents, many of whom had successfully implemented formal curricula. Enabling factors for implementation included: prior teaching experience in human rights, general institutional support and the presence of allies - most commonly coworkers as well as deans. Frequently cited barriers to implementation included: budget restrictions, time constraints and perceived apathy of colleagues or students. Overall, respondents noted personal enrichment and optimism in teaching human rights. Conclusion This Train-the-Trainer course provides the historical context, educational tools, and collective motivation to incorporate human rights educational initiatives at health sciences institutions. Increased implementation of human rights instruction, both formally and extracurricularly, has demonstrated the training's significance not only within academic institutions but more broadly across the health sector. Coworkers are vital allies in teaching human rights to health sciences students, helping to alleviate institutional barriers. Training fellow staff members and those in key leadership roles is noted as vital to the sustainability of human rights education. PMID:21787421

Teaching foster grandparents to train severely handicapped persons.

PubMed Central

Fabry, P L; Reid, D H

1978-01-01

Five foster grandparents were taught training skills for use in their daily interactions with severely handicapped persons in an institution. Following baseline, specific teaching procedures consisting of teacher instructions, prompts, modelling, and praise were implemented. The grandparents' frequency of training three skill areas increased as the specific teaching was implemented in multiple-baseline format. The total amount of training continued as teacher instructions, prompts, and modelling were terminated and praise continued, although the grandparents spent their training time emphasizing only two of the three skill areas. Teacher presence was gradually reduced over an 11-week period, with no decrease in grandparents' frequency of training. Four of the foster grandchildren, all profoundly retarded and multiply handicapped, demonstrated progress throughout the study. Results were discussed in light of the available contributions of foster grandparents in institutional settings and maintenance of staff training. PMID:148446

Assessing the relevance, efficiency, and sustainability of HIV/AIDS in-service training in Nigeria

PubMed Central

2014-01-01

More than three million people in Nigeria are living with HIV/AIDS. In order to reduce the HIV/AIDS burden in Nigeria, the US Government (USG) has dedicated significant resources to combating the epidemic through the President’s Emergency Plan for AIDS Relief (PEPFAR). In-service training (IST) of health workers is one of the most commonly used strategies to improve the quality and coverage of HIV/AIDS services. At USAID/Nigeria’s request, the USAID-funded CapacityPlus project conducted an assessment of PEPFAR-funded IST for all cadres of health workers in Nigeria. Using the IST Improvement Framework, developed by the USAID Applying Sciences to Strengthen and Improve Systems Project (ASSIST), as a guide, the authors developed a survey tool to assess the efficiency, effectiveness and sustainability of IST provided between January 2007 and July 2012 by PEPFAR-funded implementing partners in Nigeria. The instrument was adapted to the Nigerian context and refined through a stakeholder engagement process. It was then distributed via an online platform to more than 50 PEPFAR-funded implementing partners who provided IST in Nigeria. A total of 39 implementing partners completed the survey. Our survey found that PEPFAR implementing partners have been providing a wide range of IST to a diverse group of health workers in Nigeria since 2007. Most trainings are developed using national curricula, manuals and/or other standard operating procedures. Many of the partners are conducting Training Needs Assessments to inform the planning, design and development of their training programs. However, the assessment also pointed to a number of recommendations to increase the efficiency, effectiveness and sustainability of PEPFAR-funded IST. These actions are as follows: improve collaboration and coordination among implementing partners; apply a more diverse and cost-effective set of training modalities; allocate funding specifically for the evaluation of the effectiveness of training; improve links between IST and both continuing professional development and pre-service education; require implementing partners to create sustainability plans to transition training from PEPFAR funding to other funding sources; and develop a training information management system to track key aspects of IST, such as the number and types of providers, courses, and participants of PEPFAR-funded IST. PMID:24739511

Training Paraprofessionals to Improve Socialization in Students with ASD

PubMed Central

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

2014-01-01

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

The Implementation of an Office Systems Management Curriculum for the 1980s.

ERIC Educational Resources Information Center

Stallard, John J.

1982-01-01

Describes the implementation of an office systems management curriculum (at the University of Tennessee, Knoxville) that trains students to develop their conceptual skills and to train for management-level positions. Courses involve the automated office, records systems, office systems analysis, case studies, and management information systems.…

Using Performance Analysis for Training in an Organization Implementing ISO-9000 Manufacturing Practices: A Case Study.

ERIC Educational Resources Information Center

Kunneman, Dale E.; Sleezer, Catherine M.

2000-01-01

This case study examines the application of the Performance Analysis for Training (PAT) Model in an organization that was implementing ISO-9000 (International Standards Organization) processes for manufacturing practices. Discusses the interaction of organization characteristics, decision maker characteristics, and analyst characteristics to…

An Evaluation of Strategies for Training Staff to Implement the Picture Exchange Communication System

ERIC Educational Resources Information Center

Barnes, Clarissa S.; Dunning, Johnna L.; Rehfeldt, Ruth Anne

2011-01-01

The picture exchange communication system (PECS) is a functional communication system frequently used with individuals diagnosed with autism spectrum disorders who experience severe language delays (Frost & Bondy, 2002). Few empirical investigations have evaluated strategies for training direct care staff how to effectively implement PECS with…

Notification: Impact of EPA’s Lack of Notice of Availability of Required Training Materials on Agricultural Worker Protection Standard Implementation

EPA Pesticide Factsheets

Project #OA&E-FY18-0190, May 2, 2018. The OIG plans to begin preliminary research to evaluate the impact of EPA’s lack of notice of availability of required training materials on Agricultural Worker Protection Standard implementation.

Fostering Enterprise Architecture Education and Training with the Enterprise Architecture Competence Framework

ERIC Educational Resources Information Center

Tambouris, Efthimios; Zotou, Maria; Kalampokis, Evangelos; Tarabanis, Konstantinos

2012-01-01

Enterprise architecture (EA) implementation refers to a set of activities ultimately aiming to align business objectives with information technology infrastructure in an organization. EA implementation is a multidisciplinary, complicated and endless process, hence, calls for adequate education and training programs that will build highly skilled…

Developing and Implementing an International Engineering Program.

ERIC Educational Resources Information Center

Jain, Ravi K.; Elliott, Gayle G.; Jain, Terumi Takahashi

The goals of the Trans European Mobility Program for University Students (TEMPUS) project include developing curriculum and implementing language and culture training programs with a focus on German and Japanese, and training engineers who have a global perspective. This document contains an executive summary in addition to the full length report…

SciSpark's SRDD : A Scientific Resilient Distributed Dataset for Multidimensional Data

NASA Astrophysics Data System (ADS)

Palamuttam, R. S.; Wilson, B. D.; Mogrovejo, R. M.; Whitehall, K. D.; Mattmann, C. A.; McGibbney, L. J.; Ramirez, P.

2015-12-01

Remote sensing data and climate model output are multi-dimensional arrays of massive sizes locked away in heterogeneous file formats (HDF5/4, NetCDF 3/4) and metadata models (HDF-EOS, CF) making it difficult to perform multi-stage, iterative science processing since each stage requires writing and reading data to and from disk. We have developed SciSpark, a robust Big Data framework, that extends ApacheTM Spark for scaling scientific computations. Apache Spark improves the map-reduce implementation in ApacheTM Hadoop for parallel computing on a cluster, by emphasizing in-memory computation, "spilling" to disk only as needed, and relying on lazy evaluation. Central to Spark is the Resilient Distributed Dataset (RDD), an in-memory distributed data structure that extends the functional paradigm provided by the Scala programming language. However, RDDs are ideal for tabular or unstructured data, and not for highly dimensional data. The SciSpark project introduces the Scientific Resilient Distributed Dataset (sRDD), a distributed-computing array structure which supports iterative scientific algorithms for multidimensional data. SciSpark processes data stored in NetCDF and HDF files by partitioning them across time or space and distributing the partitions among a cluster of compute nodes. We show usability and extensibility of SciSpark by implementing distributed algorithms for geospatial operations on large collections of multi-dimensional grids. In particular we address the problem of scaling an automated method for finding Mesoscale Convective Complexes. SciSpark provides a tensor interface to support the pluggability of different matrix libraries. We evaluate performance of the various matrix libraries in distributed pipelines, such as Nd4jTM and BreezeTM. We detail the architecture and design of SciSpark, our efforts to integrate climate science algorithms, parallel ingest and partitioning (sharding) of A-Train satellite observations from model grids. These solutions are encompassed in SciSpark, an open-source software framework for distributed computing on scientific data.

Training Veterans to Provide Peer Support in a Weight-Management Program: MOVE!

PubMed Central

Haynes-Maslow, Lindsey; Carr, Carol; Orr, Melinda; Kahwati, Leila C.; Weiner, Bryan J.; Kinsinger, Linda

2013-01-01

Introduction The Veterans Health Administration (VHA) has implemented MOVE!, a weight-management program for veterans designed to address the increasing proportion of overweight and obese veterans. The objective of our study was to determine whether peer support employing motivational interviewing (MI) could positively influence lifestyle changes, thus expanding the reach of the MOVE! program. We describe the initial evaluation of the peer training program. Methods We developed an MI peer counselor training program for volunteer veterans, the “Buddies” program, to provide one-on-one telephone support for veterans enrolled in MOVE!. Buddies were recruited at 5 VHA sites and trained to provide peer support for the 6-month MOVE! intervention. We used a DVD to teach MI skills and followed with 2 to 3 booster sessions. We observed training, conducted pre- and posttraining surveys, and debriefed focus groups to assess training feasibility. Results Fifty-six Buddies were trained. Results indicate positive receipt of the program (89% reported learning about peer counseling and 87% reported learning communication skills). Buddies showed a small improvement in MI self-efficacy on posttraining surveys. We also identified key challenges to learning MI and training implementation. Conclusions MI training is feasible to implement and acceptable to volunteer Buddies. Trainers must assess how effectively volunteers learn MI skills in order to enhance its effective use in health promotion. PMID:24199738

Successful implementation of the European Resuscitation Council basic life support course as mandatory peer-led training for medical students.

PubMed

Grove, Erik L; Løfgren, Bo

2014-04-01

We aimed to implement the European Resuscitation Council (ERC) basic life support (BLS) and automated external defibrillator (AED) course as a mandatory peer-led training programme for medical students and to evaluate the satisfaction with this course. Medical students certified as ERC BLS/AED instructors were recruited as student trainers and organizers of the course, which was included as a mandatory part of the curriculum for second-year medical students before first clinical rotation. After each course, questionnaires were distributed to evaluate the peer-led training programme. In total, 146 students were trained and assessed. The quality of the course was rated as 9.4±0.8 (10-point scale, 10 being best), and the majority (95%) felt better prepared for their clinical rotation. Implementation of the ERC BLS/AED course as a mandatory peer-led training programme for medical students is feasible. The course has been very well accepted and the students feel better prepared for their first clinical rotation.

Evaluating Niger's experience in strengthening supervision, improving availability of child survival drugs through cost recovery, and initiating training for Integrated Management of Childhood Illness (IMCI)

PubMed Central

Tawfik, Youssef M; Legros, Stephane; Geslin, Colette

2001-01-01

Background WHO and UNICEF have recently developed the "Integrated Management of Childhood Illness" (IMCI) as an efficient strategy to assist developing countries reduce childhood mortality. Early experience with IMCI implementation suggests that clinical training is essential but not sufficient for the success of the strategy. Attention needs to be given to strengthening health systems, such as supervision and drug supply. Results This paper presents results of evaluating an innovative approach for implementing IMCI in Niger. It starts with strengthening district level supervision and improving the availability of child survival drugs through cost recovery well before the beginning of IMCI clinical training. The evaluation documented the effectiveness of the initial IMCI clinical training and referral. Conclusions Strengthening supervision and assuring the availability of essential drugs need to precede the initiation of IMCI Clinical training. Longer term follow up is necessary to confirm the impact of the approach on IMCI preparation and implementation. PMID:11504567

Training shelter volunteers to teach dog compliance.

PubMed

Howard, Veronica J; DiGennaro Reed, Florence D

2014-01-01

This study examined the degree to which training procedures influenced the integrity of behaviorally based dog training implemented by volunteers of an animal shelter. Volunteers were taught to implement discrete-trial obedience training to teach 2 skills (sit and wait) to dogs. Procedural integrity during the baseline and written instructions conditions was low across all participants. Although performance increased with use of a video model, integrity did not reach criterion levels until performance feedback and modeling were provided. Moreover, the integrity of the discrete-trial training procedure was significantly and positively correlated with dog compliance to instructions for all dyads. Correct implementation and compliance were observed when participants were paired with a novel dog and trainer, respectively, although generalization of procedural integrity from the discrete-trial sit procedure to the discrete-trial wait procedure was not observed. Shelter consumers rated the behavior change in dogs and trainers as socially significant. Implications of these findings and future directions for research are discussed. © Society for the Experimental Analysis of Behavior.

A state's approach to suicide prevention awareness: gatekeeper training in Kentucky.

PubMed

Cerel, Julie; Padgett, Jason H; Robbins, Vestena; Kaminer, Barbara

2012-01-01

As part of Preventing Suicide: Kentucky's Plan, a gatekeeper training was implemented. The implementation of this brief educational intervention and changes in participants' suicide prevention attitudes were examined. Data were collected from 3,958 people in 213 sessions from May 2004 to August 2006. Participants reported high levels of satisfaction with the trainings. Immediately following the training, participants showed substantial increases in their perception of their suicide knowledge and their perceived efficacy to help someone who displays signs of suicide. QPR was widely disseminated across the state and shows promise to change immediate beliefs and feelings of efficacy.

Massively parallel sparse matrix function calculations with NTPoly

NASA Astrophysics Data System (ADS)

Dawson, William; Nakajima, Takahito

2018-04-01

We present NTPoly, a massively parallel library for computing the functions of sparse, symmetric matrices. The theory of matrix functions is a well developed framework with a wide range of applications including differential equations, graph theory, and electronic structure calculations. One particularly important application area is diagonalization free methods in quantum chemistry. When the input and output of the matrix function are sparse, methods based on polynomial expansions can be used to compute matrix functions in linear time. We present a library based on these methods that can compute a variety of matrix functions. Distributed memory parallelization is based on a communication avoiding sparse matrix multiplication algorithm. OpenMP task parallellization is utilized to implement hybrid parallelization. We describe NTPoly's interface and show how it can be integrated with programs written in many different programming languages. We demonstrate the merits of NTPoly by performing large scale calculations on the K computer.