Guide to Evaluating the Essentials Training

ERIC Educational Resources Information Center

Education Development Center, Inc, 2006

2006-01-01

Countries that begin implementing the Intel[R] Teach to the Future Essentials course after March of 2006 are required to collect data using the Intel[R] Teach Essentials End of Training Survey to help support program improvement. This End of Training evaluation toolkit provides guidelines on: (1) End of Training Survey administration; (2) The…

Intelligent Tutoring Systems for Procedural Task Training of Remote Payload Operations at NASA

NASA Technical Reports Server (NTRS)

Ong, James; Noneman, Steven

2000-01-01

Intelligent Tutoring Systems (ITSs) encode and apply the subject matter and teaching expertise of experienced instructors to provide students with individualized instruction automatically. ITSs complement training simulators by providing automated instruction when it is not economical or feasible to dedicate an instructor to each student during training simulations. Despite their proven training effectiveness and favorable operating cost, however, relatively few ITSs are in use. This is largely because it is usually costly and difficult to encode the task knowledge used by the ITS to evaluate the student's actions and assess the student's performance. Procedural tasks are tasks for which there exist procedures, guidelines, and strategies that determine the correct set of steps to be taken within each situation. To lower the cost and difficulty of creating tutoring systems for procedural task training, Stottler Henke Associates, Inc. (SHAI) worked closely with the Operations Training Group at NASA's Marshall Space Flight Center to develop the Task Tutor Toolkit (T (exp 3)), a generic tutoring system shell and scenario authoring tool. The Task Tutor Toolkit employs a case-based reasoning approach where the instructor creates a procedure template that specifies the range of student actions that are "correct" within each scenario. Because each procedure template is specific to a single scenario, the system can employ relatively simple reasoning methods to represent a correct set of actions and assess student performance. This simplicity enables a non-programmer to specify task knowledge quickly and easily by via graphical user interface, using a "demonstrate, generalize, and annotate" paradigm, that recognizes the range of possible valid actions and infers principles understood (or misunderstood) by the student when those actions are carried out. The Task Tutor Toolkit was also designed to be modular and general, so that it can be interfaced with a wide range of training simulators and support a variety of training domains. SHAI and NASA applied the Task Tutor Toolkit to create the Remote Payload Operations Tutor (RPOT). RPOT is a specific tutoring system application which lets scientists who are new to space mission operations learn to monitor and control their experiments aboard the International Space Station according to NASA payload regulations, guidelines, and procedures. The RPOT simulator lets students practice these skills by monitoring the telemetry variable values of a simple, hypothetical experiment, sending commands to the experiment, coordinating with NASA personnel via voice communication loops, and submitting and retrieving information via documents and forms. At the end of each scenario, RPOT displays the principles correctly or incorrectly demonstrated by the student, along with explanations and background information. The effectiveness of RPOT and the Task Tutor Toolkit are currently under evaluation at NASA.

Livermore Big Artificial Neural Network Toolkit

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

Essen, Brian Van; Jacobs, Sam; Kim, Hyojin

2016-07-01

LBANN is a toolkit that is designed to train artificial neural networks efficiently on high performance computing architectures. It is optimized to take advantages of key High Performance Computing features to accelerate neural network training. Specifically it is optimized for low-latency, high bandwidth interconnects, node-local NVRAM, node-local GPU accelerators, and high bandwidth parallel file systems. It is built on top of the open source Elemental distributed-memory dense and spars-direct linear algebra and optimization library that is released under the BSD license. The algorithms contained within LBANN are drawn from the academic literature and implemented to work within a distributed-memory framework.

Multimethod evaluation of the VA's peer-to-peer Toolkit for patient-centered medical home implementation.

PubMed

Luck, Jeff; Bowman, Candice; York, Laura; Midboe, Amanda; Taylor, Thomas; Gale, Randall; Asch, Steven

2014-07-01

Effective implementation of the patient-centered medical home (PCMH) in primary care practices requires training and other resources, such as online toolkits, to share strategies and materials. The Veterans Health Administration (VA) developed an online Toolkit of user-sourced tools to support teams implementing its Patient Aligned Care Team (PACT) medical home model. To present findings from an evaluation of the PACT Toolkit, including use, variation across facilities, effect of social marketing, and factors influencing use. The Toolkit is an online repository of ready-to-use tools created by VA clinic staff that physicians, nurses, and other team members may share, download, and adopt in order to more effectively implement PCMH principles and improve local performance on VA metrics. Multimethod evaluation using: (1) website usage analytics, (2) an online survey of the PACT community of practice's use of the Toolkit, and (3) key informant interviews. Survey respondents were PACT team members and coaches (n = 544) at 136 VA facilities. Interview respondents were Toolkit users and non-users (n = 32). For survey data, multivariable logistic models were used to predict Toolkit awareness and use. Interviews and open-text survey comments were coded using a "common themes" framework. The Consolidated Framework for Implementation Research (CFIR) guided data collection and analyses. The Toolkit was used by 6,745 staff in the first 19 months of availability. Among members of the target audience, 80 % had heard of the Toolkit, and of those, 70 % had visited the website. Tools had been implemented at 65 % of facilities. Qualitative findings revealed a range of user perspectives from enthusiastic support to lack of sufficient time to browse the Toolkit. An online Toolkit to support PCMH implementation was used at VA facilities nationwide. Other complex health care organizations may benefit from adopting similar online peer-to-peer resource libraries.

Designing a ticket to ride with the Cognitive Work Analysis Design Toolkit.

PubMed

Read, Gemma J M; Salmon, Paul M; Lenné, Michael G; Jenkins, Daniel P

2015-01-01

Cognitive work analysis has been applied in the design of numerous sociotechnical systems. The process used to translate analysis outputs into design concepts, however, is not always clear. Moreover, structured processes for translating the outputs of ergonomics methods into concrete designs are lacking. This paper introduces the Cognitive Work Analysis Design Toolkit (CWA-DT), a design approach which has been developed specifically to provide a structured means of incorporating cognitive work analysis outputs in design using design principles and values derived from sociotechnical systems theory. This paper outlines the CWA-DT and describes its application in a public transport ticketing design case study. Qualitative and quantitative evaluations of the process provide promising early evidence that the toolkit fulfils the evaluation criteria identified for its success, with opportunities for improvement also highlighted. The Cognitive Work Analysis Design Toolkit has been developed to provide ergonomics practitioners with a structured approach for translating the outputs of cognitive work analysis into design solutions. This paper demonstrates an application of the toolkit and provides evaluation findings.

KinLinks: Software Toolkit for Kinship Analysis and Pedigree Generation from NGS Datasets

DTIC Science & Technology

2015-04-21

Retinitis pigmentosa families 2110 and 2111 of 52 individuals across 6 generations (Figure 5a), and 54 geographically diverse samples (Supplementary Table...relationships within the Retinitis pigmentosa family. Machine Learning Classifier for pairwise kinship prediction Ten features were identified for training...family (Figure 4b), and the Retinitis pigmentosa family (Figure 5b). The auto-generated pedigrees were graphed as well as in family-tree format using

A qualitative study of clinic and community member perspectives on intervention toolkits: "Unless the toolkit is used it won't help solve the problem".

PubMed

Davis, Melinda M; Howk, Sonya; Spurlock, Margaret; McGinnis, Paul B; Cohen, Deborah J; Fagnan, Lyle J

2017-07-18

Intervention toolkits are common products of grant-funded research in public health and primary care settings. Toolkits are designed to address the knowledge translation gap by speeding implementation and dissemination of research into practice. However, few studies describe characteristics of effective intervention toolkits and their implementation. Therefore, we conducted this study to explore what clinic and community-based users want in intervention toolkits and to identify the factors that support application in practice. In this qualitative descriptive study we conducted focus groups and interviews with a purposive sample of community health coalition members, public health experts, and primary care professionals between November 2010 and January 2012. The transdisciplinary research team used thematic analysis to identify themes and a cross-case comparative analysis to explore variation by participant role and toolkit experience. Ninety six participants representing primary care (n = 54, 56%) and community settings (n = 42, 44%) participated in 18 sessions (13 focus groups, five key informant interviews). Participants ranged from those naïve through expert in toolkit development; many reported limited application of toolkits in actual practice. Participants wanted toolkits targeted at the right audience and demonstrated to be effective. Well organized toolkits, often with a quick start guide, with tools that were easy to tailor and apply were desired. Irrespective of perceived quality, participants experienced with practice change emphasized that leadership, staff buy-in, and facilitative support was essential for intervention toolkits to be translated into changes in clinic or public -health practice. Given the emphasis on toolkits in supporting implementation and dissemination of research and clinical guidelines, studies are warranted to determine when and how toolkits are used. Funders, policy makers, researchers, and leaders in primary care and public health are encouraged to allocate resources to foster both toolkit development and implementation. Support, through practice facilitation and organizational leadership, are critical for translating knowledge from intervention toolkits into practice.

A proposal for a spiritual care assessment toolkit for religious volunteers and volunteer service users.

PubMed

Liu, Yi-Jung

2014-10-01

Based on the idea that volunteer services in healthcare settings should focus on the service users' best interests and providing holistic care for the body, mind, and spirit, the aim of this study was to propose an assessment toolkit for assessing the effectiveness of religious volunteers and improving their service. By analyzing and categorizing the results of previous studies, we incorporated effective care goals and methods in the proposed religious and spiritual care assessment toolkit. Two versions of the toolkit were created. The service users' version comprises 10 questions grouped into the following five dimensions: "physical care," "psychological and emotional support," "social relationships," "religious and spiritual care," and "hope restoration." Each question could either be answered with "yes" or "no". The volunteers' version contains 14 specific care goals and 31 care methods, in addition to the 10 care dimensions in the residents' version. A small sample of 25 experts was asked to judge the usefulness of each of the toolkit items for evaluating volunteers' effectiveness. Although some experts questioned the volunteer's capacity, however, to improve the spiritual care capacity and effectiveness provided by volunteers is the main purpose of developing this assessment toolkit. The toolkit developed in this study may not be applicable to other countries, and only addressed patients' general spiritual needs. Volunteers should receive special training in caring for people with special needs.

Flightspeed Integral Image Analysis Toolkit

NASA Technical Reports Server (NTRS)

Thompson, David R.

2009-01-01

The Flightspeed Integral Image Analysis Toolkit (FIIAT) is a C library that provides image analysis functions in a single, portable package. It provides basic low-level filtering, texture analysis, and subwindow descriptor for applications dealing with image interpretation and object recognition. Designed with spaceflight in mind, it addresses: Ease of integration (minimal external dependencies) Fast, real-time operation using integer arithmetic where possible (useful for platforms lacking a dedicated floatingpoint processor) Written entirely in C (easily modified) Mostly static memory allocation 8-bit image data The basic goal of the FIIAT library is to compute meaningful numerical descriptors for images or rectangular image regions. These n-vectors can then be used directly for novelty detection or pattern recognition, or as a feature space for higher-level pattern recognition tasks. The library provides routines for leveraging training data to derive descriptors that are most useful for a specific data set. Its runtime algorithms exploit a structure known as the "integral image." This is a caching method that permits fast summation of values within rectangular regions of an image. This integral frame facilitates a wide range of fast image-processing functions. This toolkit has applicability to a wide range of autonomous image analysis tasks in the space-flight domain, including novelty detection, object and scene classification, target detection for autonomous instrument placement, and science analysis of geomorphology. It makes real-time texture and pattern recognition possible for platforms with severe computational restraints. The software provides an order of magnitude speed increase over alternative software libraries currently in use by the research community. FIIAT can commercially support intelligent video cameras used in intelligent surveillance. It is also useful for object recognition by robots or other autonomous vehicles

2014 Year End Report: Center for Development of Security Excellence

DTIC Science & Technology

2014-01-01

the increased availability of products available through Open eLearning and the first of its kind Facility Security Officer (FSO) Toolkit available...Toolkits 15 New Shorts 16 New Courses at CDSE 18 CDSE Webinars 18 CDSE Open eLearning Courses 19 International Engagements 19 CDSE Virtual Instructor...training, and certification future to over 1,000 registered civilian and military personnel from around the globe. Rather than travelling to a central

Loss of Coolant Accident (LOCA) / Emergency Core Coolant System (ECCS Evaluation of Risk-Informed Margins Management Strategies for a Representative Pressurized Water Reactor (PWR)

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

Szilard, Ronaldo Henriques

A Risk Informed Safety Margin Characterization (RISMC) toolkit and methodology are proposed for investigating nuclear power plant core, fuels design and safety analysis, including postulated Loss-of-Coolant Accident (LOCA) analysis. This toolkit, under an integrated evaluation model framework, is name LOCA toolkit for the US (LOTUS). This demonstration includes coupled analysis of core design, fuel design, thermal hydraulics and systems analysis, using advanced risk analysis tools and methods to investigate a wide range of results.

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

PubMed

Militello, L G; Hutton, R J

1998-11-01

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

Protocol: a multi-level intervention program to reduce stress in 9-1-1 telecommunicators.

PubMed

Meischke, Hendrika; Lilly, Michelle; Beaton, Randal; Calhoun, Rebecca; Tu, Ann; Stangenes, Scott; Painter, Ian; Revere, Debra; Baseman, Janet

2018-05-02

Nationwide, emergency response systems depend on 9-1-1 telecommunicators to prioritize, triage, and dispatch assistance to those in distress. 9-1-1 call center telecommunicators (TCs) are challenged by acute and chronic workplace stressors: tense interactions with citizen callers in crisis; overtime; shift-work; ever-changing technologies; and negative work culture, including co-worker conflict. This workforce is also subject to routine exposures to secondary traumatization while handling calls involving emergency situations and while making time urgent, high stake decisions over the phone. Our study aims to test the effectiveness of a multi-part intervention to reduce stress in 9-1-1 TCs through an online mindfulness training and a toolkit containing workplace stressor reduction resources. The study employs a randomized controlled trial design with three data collection points. The multi-part intervention includes an individual-level online mindfulness training and a call center-level organizational stress reduction toolkit. 160 TCs will be recruited from 9-1-1 call centers, complete a baseline survey at enrollment, and are randomly assigned to an intervention or a control group. Intervention group participants will start a 7-week online mindfulness training developed in-house and tailored to 9-1-1 TCs and their call center environment; control participants will be "waitlisted" and start the training after the study period ends. Following the intervention group's completion of the mindfulness training, all participants complete a second survey. Next, the online toolkit with call-center wide stress reduction resources is made available to managers of all participating call centers. After 3 months, a third survey will be completed by all participants. The primary outcome is 9-1-1 TCs' self-reported symptoms of stress at three time points as measured by the C-SOSI (Calgary Symptoms of Stress Inventory). Secondary outcomes will include: perceptions of social work environment (measured by metrics of social support and network conflict); mindfulness; and perceptions of social work environment and mindfulness as mediators of stress reduction. This study will evaluate the effectiveness of an online mindfulness training and call center-wide stress reduction toolkit in reducing self-reported stress in 9-1-1 TCs. The results of this study will add to the growing body of research on worksite stress reduction programs. ClinicalTrials.gov Registration Number: NCT02961621 Registered on November 7, 2016 (retrospectively registered).

Advances in audio source seperation and multisource audio content retrieval

NASA Astrophysics Data System (ADS)

Vincent, Emmanuel

2012-06-01

Audio source separation aims to extract the signals of individual sound sources from a given recording. In this paper, we review three recent advances which improve the robustness of source separation in real-world challenging scenarios and enable its use for multisource content retrieval tasks, such as automatic speech recognition (ASR) or acoustic event detection (AED) in noisy environments. We present a Flexible Audio Source Separation Toolkit (FASST) and discuss its advantages compared to earlier approaches such as independent component analysis (ICA) and sparse component analysis (SCA). We explain how cues as diverse as harmonicity, spectral envelope, temporal fine structure or spatial location can be jointly exploited by this toolkit. We subsequently present the uncertainty decoding (UD) framework for the integration of audio source separation and audio content retrieval. We show how the uncertainty about the separated source signals can be accurately estimated and propagated to the features. Finally, we explain how this uncertainty can be efficiently exploited by a classifier, both at the training and the decoding stage. We illustrate the resulting performance improvements in terms of speech separation quality and speaker recognition accuracy.

WATERSHED HEALTH ASSESSMENT TOOLS-INVESTIGATING FISHERIES (WHAT-IF): A MODELING TOOLKIT FOR WATERSHED AND FISHERIES MANAGEMENT

EPA Science Inventory

The Watershed Health Assessment Tools-Investigating Fisheries (WHAT-IF) is a decision-analysis modeling toolkit for personal computers that supports watershed and fisheries management. The WHAT-IF toolkit includes a relational database, help-system functions and documentation, a...

Risk of Resource Failure and Toolkit Variation in Small-Scale Farmers and Herders

PubMed Central

Collard, Mark; Ruttle, April; Buchanan, Briggs; O’Brien, Michael J.

2012-01-01

Recent work suggests that global variation in toolkit structure among hunter-gatherers is driven by risk of resource failure such that as risk of resource failure increases, toolkits become more diverse and complex. Here we report a study in which we investigated whether the toolkits of small-scale farmers and herders are influenced by risk of resource failure in the same way. In the study, we applied simple linear and multiple regression analysis to data from 45 small-scale food-producing groups to test the risk hypothesis. Our results were not consistent with the hypothesis; none of the risk variables we examined had a significant impact on toolkit diversity or on toolkit complexity. It appears, therefore, that the drivers of toolkit structure differ between hunter-gatherers and small-scale food-producers. PMID:22844421

An Examination of the Addition of Video Informed Reflective Practice to the Active Support Toolkit

ERIC Educational Resources Information Center

Baker, Peter; Appleton, Philippa; Williams, Rosie

2017-01-01

Background: This study evaluated a package of Active Support (AS), which included standard training with additional video informed reflective practice. Materials & Methods: The training package was implemented as part of a service improvement initiative in four residential intellectual disability homes, using a concurrent multiple baseline…

A Qualitative Evaluation of Web-Based Cancer Care Quality Improvement Toolkit Use in the Veterans Health Administration.

PubMed

Bowman, Candice; Luck, Jeff; Gale, Randall C; Smith, Nina; York, Laura S; Asch, Steven

2015-01-01

Disease severity, complexity, and patient burden highlight cancer care as a target for quality improvement (QI) interventions. The Veterans Health Administration (VHA) implemented a series of disease-specific online cancer care QI toolkits. To describe characteristics of the toolkits, target users, and VHA cancer care facilities that influenced toolkit access and use and assess whether such resources were beneficial for users. Deductive content analysis of detailed notes from 94 telephone interviews with individuals from 48 VHA facilities. We evaluated toolkit access and use across cancer types, participation in learning collaboratives, and affiliation with VHA cancer care facilities. The presence of champions was identified as a strong facilitator of toolkit use, and learning collaboratives were important for spreading information about toolkit availability. Identified barriers included lack of personnel and financial resources and complicated approval processes to support tool use. Online cancer care toolkits are well received across cancer specialties and provider types. Clinicians, administrators, and QI staff may benefit from the availability of toolkits as they become more reliant on rapid access to strategies that support comprehensive delivery of evidence-based care. Toolkits should be considered as a complement to other QI approaches.

Testability, Test Automation and Test Driven Development for the Trick Simulation Toolkit

NASA Technical Reports Server (NTRS)

Penn, John

2014-01-01

This paper describes the adoption of a Test Driven Development approach and a Continuous Integration System in the development of the Trick Simulation Toolkit, a generic simulation development environment for creating high fidelity training and engineering simulations at the NASA Johnson Space Center and many other NASA facilities. It describes the approach, and the significant benefits seen, such as fast, thorough and clear test feedback every time code is checked into the code repository. It also describes an approach that encourages development of code that is testable and adaptable.

The Imperial Paediatric Emergency Training Toolkit (IPETT) for use in paediatric emergency training: development and evaluation of feasibility and validity.

PubMed

Lambden, Simon; DeMunter, Claudine; Dowson, Anne; Cooper, Mehrengise; Gautama, Sanjay; Sevdalis, Nick

2013-06-01

To develop and test the feasibility, reliability, and validity of a practical toolkit for the assessment and feedback of skills required to manage paediatric emergencies in critical care settings. The Imperial Paediatric Emergency Training Toolkit (IPETT) was developed based on current evidence-base and expert input. IPETT assesses both technical and non-technical skills. The technical component covers skills in the areas of clinical assessment, airway and breathing, cardiovascular, and drugs. The non-technical component is based on the validated NOTECHS tool and covers communication and interaction, cooperation and team skills, leadership and managerial skills, and decision-making. The reliability (internal consistency), content validity (inter-correlations between different skills) and concurrent validity (correlations between global technical and non-technical scores) of IPETT were prospectively evaluated in 45 simulated paediatric crises carried out in a PICU with anaesthetic and paediatric trainees (N=52). Non-parametric analyses were carried out. Significance was set at P<0.05. Cronbach alpha reliability coefficients were overall acceptable for the technical (alpha range=0.638-0.810) and good for the non-technical (alpha range=0.701-0.899) component of IPETT. The median inter-skill correlation was rho=0.564 and rho=0.549 for the technical and non-technical components, respectively. These indicate good content validity, as the skills were inter-related but not redundant. We also demonstrate a correlation between the global technical and non-technical scores (rho=0.471) - all Ps<0.05 during the assessments. IPETT offers a psychometrically viable and feasible to use tool in the context of paediatric emergencies training. This study shows that assessment of technical and non-technical skills in combination may offer a more clinically relevant model for training in paediatric emergencies. Further validation should aim to demonstrate skill retention over time and skill transfer from simulation-based training to real emergencies. Copyright © 2013. Published by Elsevier Ireland Ltd.

The GeoViz Toolkit: Using component-oriented coordination methods for geographic visualization and analysis

PubMed Central

Hardisty, Frank; Robinson, Anthony C.

2010-01-01

In this paper we present the GeoViz Toolkit, an open-source, internet-delivered program for geographic visualization and analysis that features a diverse set of software components which can be flexibly combined by users who do not have programming expertise. The design and architecture of the GeoViz Toolkit allows us to address three key research challenges in geovisualization: allowing end users to create their own geovisualization and analysis component set on-the-fly, integrating geovisualization methods with spatial analysis methods, and making geovisualization applications sharable between users. Each of these tasks necessitates a robust yet flexible approach to inter-tool coordination. The coordination strategy we developed for the GeoViz Toolkit, called Introspective Observer Coordination, leverages and combines key advances in software engineering from the last decade: automatic introspection of objects, software design patterns, and reflective invocation of methods. PMID:21731423

Tailored prevention of inpatient falls: development and usability testing of the fall TIPS toolkit.

PubMed

Zuyev, Lyubov; Benoit, Angela N; Chang, Frank Y; Dykes, Patricia C

2011-02-01

Patient falls and fall-related injuries are serious problems in hospitals. The Fall TIPS application aims to prevent patient falls by translating routine nursing fall risk assessment into a decision support intervention that communicates fall risk status and creates a tailored evidence-based plan of care that is accessible to the care team, patients, and family members. In our design and implementation of the Fall TIPS toolkit, we used the Spiral Software Development Life Cycle model. Three output tools available to be generated from the toolkit are bed poster, plan of care, and patient education handout. A preliminary design of the application was based on initial requirements defined by project leaders and informed by focus groups with end users. Preliminary design partially simulated the paper version of the Morse Fall Scale currently used in hospitals involved in the research study. Strengths and weaknesses of the first prototype were identified by heuristic evaluation. Usability testing was performed at sites where research study is implemented. Suggestions mentioned by end users participating in usability studies were either directly incorporated into the toolkit and output tools, were slightly modified, or will be addressed during training. The next step is implementation of the fall prevention toolkit on the pilot testing units.

NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data

PubMed Central

Rothman, Jason S.; Silver, R. Angus

2018-01-01

Acquisition, analysis and simulation of electrophysiological properties of the nervous system require multiple software packages. This makes it difficult to conserve experimental metadata and track the analysis performed. It also complicates certain experimental approaches such as online analysis. To address this, we developed NeuroMatic, an open-source software toolkit that performs data acquisition (episodic, continuous and triggered recordings), data analysis (spike rasters, spontaneous event detection, curve fitting, stationarity) and simulations (stochastic synaptic transmission, synaptic short-term plasticity, integrate-and-fire and Hodgkin-Huxley-like single-compartment models). The merging of a wide range of tools into a single package facilitates a more integrated style of research, from the development of online analysis functions during data acquisition, to the simulation of synaptic conductance trains during dynamic-clamp experiments. Moreover, NeuroMatic has the advantage of working within Igor Pro, a platform-independent environment that includes an extensive library of built-in functions, a history window for reviewing the user's workflow and the ability to produce publication-quality graphics. Since its original release, NeuroMatic has been used in a wide range of scientific studies and its user base has grown considerably. NeuroMatic version 3.0 can be found at http://www.neuromatic.thinkrandom.com and https://github.com/SilverLabUCL/NeuroMatic. PMID:29670519

BAT - The Bayesian analysis toolkit

NASA Astrophysics Data System (ADS)

Caldwell, Allen; Kollár, Daniel; Kröninger, Kevin

2009-11-01

We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution. Parameter estimation, limit setting and uncertainty propagation are implemented in a straightforward manner.

A Data Audit and Analysis Toolkit To Support Assessment of the First College Year.

ERIC Educational Resources Information Center

Paulson, Karen

This "toolkit" provides a process by which institutions can identify and use information resources to enhance the experiences and outcomes of first-year students. The toolkit contains a "Technical Manual" designed for use by the technical personnel who will be conducting the data audit and associated analyses. Administrators who want more…

Study protocol for "Study of Practices Enabling Implementation and Adaptation in the Safety Net (SPREAD-NET)": a pragmatic trial comparing implementation strategies.

PubMed

Gold, Rachel; Hollombe, Celine; Bunce, Arwen; Nelson, Christine; Davis, James V; Cowburn, Stuart; Perrin, Nancy; DeVoe, Jennifer; Mossman, Ned; Boles, Bruce; Horberg, Michael; Dearing, James W; Jaworski, Victoria; Cohen, Deborah; Smith, David

2015-10-16

Little research has directly compared the effectiveness of implementation strategies in any setting, and we know of no prior trials directly comparing how effectively different combinations of strategies support implementation in community health centers. This paper outlines the protocol of the Study of Practices Enabling Implementation and Adaptation in the Safety Net (SPREAD-NET), a trial designed to compare the effectiveness of several common strategies for supporting implementation of an intervention and explore contextual factors that impact the strategies' effectiveness in the community health center setting. This cluster-randomized trial compares how three increasingly hands-on implementation strategies support adoption of an evidence-based diabetes quality improvement intervention in 29 community health centers, managed by 12 healthcare organizations. The strategies are as follows: (arm 1) a toolkit, presented in paper and electronic form, which includes a training webinar; (arm 2) toolkit plus in-person training with a focus on practice change and change management strategies; and (arm 3) toolkit, in-person training, plus practice facilitation with on-site visits. We use a mixed methods approach to data collection and analysis: (i) baseline surveys on study clinic characteristics, to explore how these characteristics impact the clinics' ability to implement the tools and the effectiveness of each implementation strategy; (ii) quantitative data on change in rates of guideline-concordant prescribing; and (iii) qualitative data on the "how" and "why" underlying the quantitative results. The outcomes of interest are clinic-level results, categorized using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework, within an interrupted time-series design with segmented regression models. This pragmatic trial will compare how well each implementation strategy works in "real-world" practices. Having a better understanding of how different strategies support implementation efforts could positively impact the field of implementation science, by comparing practical, generalizable methods for implementing clinical innovations in community health centers. Bridging this gap in the literature is a critical step towards the national long-term goal of effectively disseminating and implementing effective interventions into community health centers. ClinicalTrials.gov, NCT02325531.

Capturing Petascale Application Characteristics with the Sequoia Toolkit

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

Vetter, Jeffrey S; Bhatia, Nikhil; Grobelny, Eric M

2005-01-01

Characterization of the computation, communication, memory, and I/O demands of current scientific applications is crucial for identifying which technologies will enable petascale scientific computing. In this paper, we present the Sequoia Toolkit for characterizing HPC applications. The Sequoia Toolkit consists of the Sequoia trace capture library and the Sequoia Event Analysis Library, or SEAL, that facilitates the development of tools for analyzing Sequoia event traces. Using the Sequoia Toolkit, we have characterized the behavior of application runs with up to 2048 application processes. To illustrate the use of the Sequoia Toolkit, we present a preliminary characterization of LAMMPS, a molecularmore » dynamics application of great interest to the computational biology community.« less

Diagnosing turbulence for research aircraft safety using open source toolkits

NASA Astrophysics Data System (ADS)

Lang, T. J.; Guy, N.

Open source software toolkits have been developed and applied to diagnose in-cloud turbulence in the vicinity of Earth science research aircraft, via analysis of ground-based Doppler radar data. Based on multiple retrospective analyses, these toolkits show promise for detecting significant turbulence well prior to cloud penetrations by research aircraft. A pilot study demonstrated the ability to provide mission scientists turbulence estimates in near real time during an actual field campaign, and thus these toolkits are recommended for usage in future cloud-penetrating aircraft field campaigns.

Octopus-toolkit: a workflow to automate mining of public epigenomic and transcriptomic next-generation sequencing data

PubMed Central

Kim, Taemook; Seo, Hogyu David; Hennighausen, Lothar; Lee, Daeyoup

2018-01-01

Abstract Octopus-toolkit is a stand-alone application for retrieving and processing large sets of next-generation sequencing (NGS) data with a single step. Octopus-toolkit is an automated set-up-and-analysis pipeline utilizing the Aspera, SRA Toolkit, FastQC, Trimmomatic, HISAT2, STAR, Samtools, and HOMER applications. All the applications are installed on the user's computer when the program starts. Upon the installation, it can automatically retrieve original files of various epigenomic and transcriptomic data sets, including ChIP-seq, ATAC-seq, DNase-seq, MeDIP-seq, MNase-seq and RNA-seq, from the gene expression omnibus data repository. The downloaded files can then be sequentially processed to generate BAM and BigWig files, which are used for advanced analyses and visualization. Currently, it can process NGS data from popular model genomes such as, human (Homo sapiens), mouse (Mus musculus), dog (Canis lupus familiaris), plant (Arabidopsis thaliana), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), worm (Caenorhabditis elegans), and budding yeast (Saccharomyces cerevisiae) genomes. With the processed files from Octopus-toolkit, the meta-analysis of various data sets, motif searches for DNA-binding proteins, and the identification of differentially expressed genes and/or protein-binding sites can be easily conducted with few commands by users. Overall, Octopus-toolkit facilitates the systematic and integrative analysis of available epigenomic and transcriptomic NGS big data. PMID:29420797

Third Party TMDL Development Toolkit

EPA Pesticide Factsheets

Water Environment Federation's toolkit provides basic steps in which an organization or group other than the lead water quality agency takes responsibility for developing the TMDL document and supporting analysis.

Continuum of eLearning: 2012 Project Summary Report

DTIC Science & Technology

2012-10-01

Taylor, Emilie Reitz, Kathleen Bartlett, and John Killilea DSCI MESH Solutions General Dynamics Information Technology 12601...goes on to write , “Joint Knowledge Online ( JKO) provides a Joint Indi- vidual Training Toolkit of web enabled individual and small group training...the interviews, we compiled relevant best practices from the academic literature. We call these “practical” limitations be- cause the technology and

Scientific Data Analysis Toolkit: A Versatile Add-in to Microsoft Excel for Windows

ERIC Educational Resources Information Center

Halpern, Arthur M.; Frye, Stephen L.; Marzzacco, Charles J.

2018-01-01

Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…

The SpeX Prism Library Analysis Toolkit: Design Considerations and First Results

NASA Astrophysics Data System (ADS)

Burgasser, Adam J.; Aganze, Christian; Escala, Ivana; Lopez, Mike; Choban, Caleb; Jin, Yuhui; Iyer, Aishwarya; Tallis, Melisa; Suarez, Adrian; Sahi, Maitrayee

2016-01-01

Various observational and theoretical spectral libraries now exist for galaxies, stars, planets and other objects, which have proven useful for classification, interpretation, simulation and model development. Effective use of these libraries relies on analysis tools, which are often left to users to develop. In this poster, we describe a program to develop a combined spectral data repository and Python-based analysis toolkit for low-resolution spectra of very low mass dwarfs (late M, L and T dwarfs), which enables visualization, spectral index analysis, classification, atmosphere model comparison, and binary modeling for nearly 2000 library spectra and user-submitted data. The SpeX Prism Library Analysis Toolkit (SPLAT) is being constructed as a collaborative, student-centered, learning-through-research model with high school, undergraduate and graduate students and regional science teachers, who populate the database and build the analysis tools through quarterly challenge exercises and summer research projects. In this poster, I describe the design considerations of the toolkit, its current status and development plan, and report the first published results led by undergraduate students. The combined data and analysis tools are ideal for characterizing cool stellar and exoplanetary atmospheres (including direct exoplanetary spectra observations by Gemini/GPI, VLT/SPHERE, and JWST), and the toolkit design can be readily adapted for other spectral datasets as well.This material is based upon work supported by the National Aeronautics and Space Administration under Grant No. NNX15AI75G. SPLAT code can be found at https://github.com/aburgasser/splat.

Open source tools and toolkits for bioinformatics: significance, and where are we?

PubMed

Stajich, Jason E; Lapp, Hilmar

2006-09-01

This review summarizes important work in open-source bioinformatics software that has occurred over the past couple of years. The survey is intended to illustrate how programs and toolkits whose source code has been developed or released under an Open Source license have changed informatics-heavy areas of life science research. Rather than creating a comprehensive list of all tools developed over the last 2-3 years, we use a few selected projects encompassing toolkit libraries, analysis tools, data analysis environments and interoperability standards to show how freely available and modifiable open-source software can serve as the foundation for building important applications, analysis workflows and resources.

American Hospital Association

MedlinePlus

... Central Office-Coding Resources AHA Team Training Health Career Center Health Forum Connect More Regulatory Relief The regulatory burden faced by hospitals is substantial and unsustainable. Read the report . More AHA Opioid Toolkit Stem the Tide: Addressing the Opioid Epidemic More ...

Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit

PubMed Central

O'Boyle, Noel M; Morley, Chris; Hutchison, Geoffrey R

2008-01-01

Background Scripting languages such as Python are ideally suited to common programming tasks in cheminformatics such as data analysis and parsing information from files. However, for reasons of efficiency, cheminformatics toolkits such as the OpenBabel toolkit are often implemented in compiled languages such as C++. We describe Pybel, a Python module that provides access to the OpenBabel toolkit. Results Pybel wraps the direct toolkit bindings to simplify common tasks such as reading and writing molecular files and calculating fingerprints. Extensive use is made of Python iterators to simplify loops such as that over all the molecules in a file. A Pybel Molecule can be easily interconverted to an OpenBabel OBMol to access those methods or attributes not wrapped by Pybel. Conclusion Pybel allows cheminformaticians to rapidly develop Python scripts that manipulate chemical information. It is open source, available cross-platform, and offers the power of the OpenBabel toolkit to Python programmers. PMID:18328109

Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit.

PubMed

O'Boyle, Noel M; Morley, Chris; Hutchison, Geoffrey R

2008-03-09

Scripting languages such as Python are ideally suited to common programming tasks in cheminformatics such as data analysis and parsing information from files. However, for reasons of efficiency, cheminformatics toolkits such as the OpenBabel toolkit are often implemented in compiled languages such as C++. We describe Pybel, a Python module that provides access to the OpenBabel toolkit. Pybel wraps the direct toolkit bindings to simplify common tasks such as reading and writing molecular files and calculating fingerprints. Extensive use is made of Python iterators to simplify loops such as that over all the molecules in a file. A Pybel Molecule can be easily interconverted to an OpenBabel OBMol to access those methods or attributes not wrapped by Pybel. Pybel allows cheminformaticians to rapidly develop Python scripts that manipulate chemical information. It is open source, available cross-platform, and offers the power of the OpenBabel toolkit to Python programmers.

The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes.

PubMed

Gerhard, Stephan; Daducci, Alessandro; Lemkaddem, Alia; Meuli, Reto; Thiran, Jean-Philippe; Hagmann, Patric

2011-01-01

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/

The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes

PubMed Central

Gerhard, Stephan; Daducci, Alessandro; Lemkaddem, Alia; Meuli, Reto; Thiran, Jean-Philippe; Hagmann, Patric

2011-01-01

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit – a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/ PMID:21713110

Detection of events of public health importance under the international health regulations: a toolkit to improve reporting of unusual events by frontline healthcare workers.

PubMed

MacDonald, Emily; Aavitsland, Preben; Bitar, Dounia; Borgen, Katrine

2011-09-21

The International Health Regulations (IHR (2005)) require countries to notify WHO of any event which may constitute a public health emergency of international concern. This notification relies on reports of events occurring at the local level reaching the national public health authorities. By June 2012 WHO member states are expected to have implemented the capacity to "detect events involving disease or death above expected levels for the particular time and place" on the local level and report essential information to the appropriate level of public health authority. Our objective was to develop tools to assist European countries improve the reporting of unusual events of public health significance from frontline healthcare workers to public health authorities. We investigated obstacles and incentives to event reporting through a systematic literature review and expert consultations with national public health officials from various European countries. Multi-day expert meetings and qualitative interviews were used to gather experiences and examples of public health event reporting. Feedback on specific components of the toolkit was collected from healthcare workers and public health officials throughout the design process. Evidence from 79 scientific publications, two multi-day expert meetings and seven qualitative interviews stressed the need to clarify concepts and expectations around event reporting in European countries between the frontline and public health authorities. An analytical framework based on three priority areas for improved event reporting (professional engagement, communication and infrastructure) was developed and guided the development of the various tools. We developed a toolkit adaptable to country-specific needs that includes a guidance document for IHR National Focal Points and nine tool templates targeted at clinicians and laboratory staff: five awareness campaign tools, three education and training tools, and an implementation plan. The toolkit emphasizes what to report, the reporting process and the need for follow-up, supported by real examples. This toolkit addresses the importance of mutual exchange of information between frontline healthcare workers and public health authorities. It may potentially increase frontline healthcare workers' awareness of their role in the detection of events of public health concern, improve communication channels and contribute to creating an enabling environment for event reporting. However, the effectiveness of the toolkit will depend on the national body responsible for dissemination and training.

Tailored Prevention of Inpatient Falls

PubMed Central

ZUYEV, LYUBOV; BENOIT, ANGELA N.; CHANG, FRANK Y.; DYKES, PATRICIA C.

2011-01-01

Patient falls and fall-related injuries are serious problems in hospitals. The Fall TIPS application aims to prevent patient falls by translating routine nursing fall risk assessment into a decision support intervention that communicates fall risk status and creates a tailored evidence-based plan of care that is accessible to the care team, patients, and family members. In our design and implementation of the Fall TIPS toolkit, we used the Spiral Software Development Life Cycle model. Three output tools available to be generated from the toolkit are bed poster, plan of care, and patient education handout. A preliminary design of the application was based on initial requirements defined by project leaders and informed by focus groups with end users. Preliminary design partially simulated the paper version of the Morse Fall Scale currently used in hospitals involved in the research study. Strengths and weaknesses of the first prototype were identified by heuristic evaluation. Usability testing was performed at sites where research study is implemented. Suggestions mentioned by end users participating in usability studies were either directly incorporated into the toolkit and output tools, were slightly modified, or will be addressed during training. The next step is implementation of the fall prevention toolkit on the pilot testing units. PMID:20975543

SIGKit: Software for Introductory Geophysics Toolkit

NASA Astrophysics Data System (ADS)

Kruse, S.; Bank, C. G.; Esmaeili, S.; Jazayeri, S.; Liu, S.; Stoikopoulos, N.

2017-12-01

The Software for Introductory Geophysics Toolkit (SIGKit) affords students the opportunity to create model data and perform simple processing of field data for various geophysical methods. SIGkit provides a graphical user interface built with the MATLAB programming language, but can run even without a MATLAB installation. At this time SIGkit allows students to pick first arrivals and match a two-layer model to seismic refraction data; grid total-field magnetic data, extract a profile, and compare this to a synthetic profile; and perform simple processing steps (subtraction of a mean trace, hyperbola fit) to ground-penetrating radar data. We also have preliminary tools for gravity, resistivity, and EM data representation and analysis. SIGkit is being built by students for students, and the intent of the toolkit is to provide an intuitive interface for simple data analysis and understanding of the methods, and act as an entrance to more sophisticated software. The toolkit has been used in introductory courses as well as field courses. First reactions from students are positive. Think-aloud observations of students using the toolkit have helped identify problems and helped shape it. We are planning to compare the learning outcomes of students who have used the toolkit in a field course to students in a previous course to test its effectiveness.

iFeature: a python package and web server for features extraction and selection from protein and peptide sequences.

PubMed

Chen, Zhen; Zhao, Pei; Li, Fuyi; Leier, André; Marquez-Lago, Tatiana T; Wang, Yanan; Webb, Geoffrey I; Smith, A Ian; Daly, Roger J; Chou, Kuo-Chen; Song, Jiangning

2018-03-08

Structural and physiochemical descriptors extracted from sequence data have been widely used to represent sequences and predict structural, functional, expression and interaction profiles of proteins and peptides as well as DNAs/RNAs. Here, we present iFeature, a versatile Python-based toolkit for generating various numerical feature representation schemes for both protein and peptide sequences. iFeature is capable of calculating and extracting a comprehensive spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. It also allows users to extract specific amino acid properties from the AAindex database. Furthermore, iFeature integrates 12 different types of commonly used feature clustering, selection, and dimensionality reduction algorithms, greatly facilitating training, analysis, and benchmarking of machine-learning models. The functionality of iFeature is made freely available via an online web server and a stand-alone toolkit. http://iFeature.erc.monash.edu/; https://github.com/Superzchen/iFeature/. jiangning.song@monash.edu; kcchou@gordonlifescience.org; roger.daly@monash.edu. Supplementary data are available at Bioinformatics online.

Machine learning for a Toolkit for Image Mining

NASA Technical Reports Server (NTRS)

Delanoy, Richard L.

1995-01-01

A prototype user environment is described that enables a user with very limited computer skills to collaborate with a computer algorithm to develop search tools (agents) that can be used for image analysis, creating metadata for tagging images, searching for images in an image database on the basis of image content, or as a component of computer vision algorithms. Agents are learned in an ongoing, two-way dialogue between the user and the algorithm. The user points to mistakes made in classification. The algorithm, in response, attempts to discover which image attributes are discriminating between objects of interest and clutter. It then builds a candidate agent and applies it to an input image, producing an 'interest' image highlighting features that are consistent with the set of objects and clutter indicated by the user. The dialogue repeats until the user is satisfied. The prototype environment, called the Toolkit for Image Mining (TIM) is currently capable of learning spectral and textural patterns. Learning exhibits rapid convergence to reasonable levels of performance and, when thoroughly trained, Fo appears to be competitive in discrimination accuracy with other classification techniques.

How did the Good School Toolkit reduce the risk of past week physical violence from teachers to students? Qualitative findings on pathways of change in schools in Luwero, Uganda.

PubMed

Kyegombe, N; Namakula, S; Mulindwa, J; Lwanyaaga, J; Naker, D; Namy, S; Nakuti, J; Parkes, J; Knight, L; Walakira, E; Devries, K M

2017-05-01

Violence against children is a serious violation of children's rights with significant impacts on current and future health and well-being. The Good School Toolkit (GST) is designed to prevent violence against children in primary schools through changing schools' operational cultures. Conducted in the Luwero District in Uganda between 2012 and 2014, findings from previous research indicate that the Toolkit reduced the odds of past week physical violence from school staff (OR = 0.40, 95%CI 0.26-0.64, p < 0.001), corresponding to a 42% reduction in risk of past week physical violence. This nested qualitative study involved 133 interviews with students, teachers, school administration, and parents, and two focus group discussion with teachers. Interviews were conducted using semi-structured tools and analysed using thematic analysis complemented by constant comparison and deviant case analysis techniques. Within a context of normative acceptance of corporal punishment this qualitative paper reports suggestive pathways related to teacher-student relationships through which reductions in violence operated. First, improved student-teacher relationships resulted in improved student voice and less fear of teachers. Second, the intervention helped schools to clarify and encourage desired behaviour amongst students through rewards and praise. Third, many teachers valued positive discipline and alternative discipline methods, including peer-to-peer discipline, as important pathways to reduced use of violence. These shifts were reflected in changes in the views, use, and context of beating. Although the GST is effective for reducing physical violence from teachers to students, violence persisted, though at significantly reduced levels, in all schools with reductions varying across schools and individuals. Much of the success of the Toolkit derives from the support it provides for fostering better student-teacher relationships and alternative discipline options. Such innovation could usefully be incorporated in teacher training syllabi to equip teachers with knowledge and skills to maintain discipline without the use of fear or physical punishment. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

The Model Analyst’s Toolkit: Scientific Model Development, Analysis, and Validation

DTIC Science & Technology

2014-11-20

Government Contract N00014-12-C-0653 Charles River Analytics p. 7 The new MAT system can be downloaded from our FTP site with a username and...password that we provide. We also updated our web site to tell visitors about the new release and to tell them how to request a copy of the new software...hemorrhaging are being applied  properly.  Laparoscopic  Surgery Training  System (LASTS)    (Phase II SBIR)  US Navy’s Office of Naval  Research (ONR)  Under

Creating a Toolkit to Reduce Disparities in Patient Engagement.

PubMed

Keddem, Shimrit; Agha, Aneeza Z; Long, Judith A; Werner, Rachel M; Shea, Judy A

2017-09-01

Patient engagement has become a major focus of health care improvement efforts nationally. Although evidence suggests patient engagement can be beneficial to patients, it has not been consistently defined, operationalized, or translated into practice. Our objective was to develop a toolkit to help providers increase patient engagement and reduce disparities in patient engagement. We used qualitative interviews and observations with staff at primary care sites nationally to identify patient engagement practices and resources used to engage patients. We then used a modified Delphi process, that included a series of conference calls and surveys, where stakeholders reduced lists of engagement practices based on perceived feasibility and importance to develop a toolkit for patient engagement. Sites were selected for interviews and site visits based on the concentration of minority patients served and performance on a measure of patient engagement, with the goal of highlighting practices at sites that successfully serve minority patients. We created a toolkit consisting of patient engagement practices and resources. No identified practice or resource specifically targeted patient engagement of minorities or addressed disparities. However, high-performing, high-minority-serving sites tended to describe more staff training opportunities and staff feedback mechanisms. In addition, low-performing and high-minority-serving sites more often reported barriers to implementation of patient engagement practices. Stakeholders agreed on feasible and important engagement practices. Implementation of this toolkit will be tracked to better understand patient engagement and its effect on patient-centered care and related disparities in care.

The MIGenAS integrated bioinformatics toolkit for web-based sequence analysis

PubMed Central

Rampp, Markus; Soddemann, Thomas; Lederer, Hermann

2006-01-01

We describe a versatile and extensible integrated bioinformatics toolkit for the analysis of biological sequences over the Internet. The web portal offers convenient interactive access to a growing pool of chainable bioinformatics software tools and databases that are centrally installed and maintained by the RZG. Currently, supported tasks comprise sequence similarity searches in public or user-supplied databases, computation and validation of multiple sequence alignments, phylogenetic analysis and protein–structure prediction. Individual tools can be seamlessly chained into pipelines allowing the user to conveniently process complex workflows without the necessity to take care of any format conversions or tedious parsing of intermediate results. The toolkit is part of the Max-Planck Integrated Gene Analysis System (MIGenAS) of the Max Planck Society available at (click ‘Start Toolkit’). PMID:16844980

FATES: a flexible analysis toolkit for the exploration of single-particle mass spectrometer data

NASA Astrophysics Data System (ADS)

Sultana, Camille M.; Cornwell, Gavin C.; Rodriguez, Paul; Prather, Kimberly A.

2017-04-01

Single-particle mass spectrometer (SPMS) analysis of aerosols has become increasingly popular since its invention in the 1990s. Today many iterations of commercial and lab-built SPMSs are in use worldwide. However, supporting analysis toolkits for these powerful instruments are outdated, have limited functionality, or are versions that are not available to the scientific community at large. In an effort to advance this field and allow better communication and collaboration between scientists, we have developed FATES (Flexible Analysis Toolkit for the Exploration of SPMS data), a MATLAB toolkit easily extensible to an array of SPMS designs and data formats. FATES was developed to minimize the computational demands of working with large data sets while still allowing easy maintenance, modification, and utilization by novice programmers. FATES permits scientists to explore, without constraint, complex SPMS data with simple scripts in a language popular for scientific numerical analysis. In addition FATES contains an array of data visualization graphic user interfaces (GUIs) which can aid both novice and expert users in calibration of raw data; exploration of the dependence of mass spectral characteristics on size, time, and peak intensity; and investigations of clustered data sets.

Ridesharing options analysis and practitioners' toolkit

DOT National Transportation Integrated Search

2010-12-01

The purpose of this toolkit is to elaborate upon the recent changes in ridesharing, introduce the wide variety that exists in ridesharing programs today, and the developments in technology and funding availability that create greater incentives for p...

An open-source LabVIEW application toolkit for phasic heart rate analysis in psychophysiological research.

PubMed

Duley, Aaron R; Janelle, Christopher M; Coombes, Stephen A

2004-11-01

The cardiovascular system has been extensively measured in a variety of research and clinical domains. Despite technological and methodological advances in cardiovascular science, the analysis and evaluation of phasic changes in heart rate persists as a way to assess numerous psychological concomitants. Some researchers, however, have pointed to constraints on data analysis when evaluating cardiac activity indexed by heart rate or heart period. Thus, an off-line application toolkit for heart rate analysis is presented. The program, written with National Instruments' LabVIEW, incorporates a variety of tools for off-line extraction and analysis of heart rate data. Current methods and issues concerning heart rate analysis are highlighted, and how the toolkit provides a flexible environment to ameliorate common problems that typically lead to trial rejection is discussed. Source code for this program may be downloaded from the Psychonomic Society Web archive at www.psychonomic.org/archive/.

Land surface Verification Toolkit (LVT)

NASA Technical Reports Server (NTRS)

Kumar, Sujay V.

2017-01-01

LVT is a framework developed to provide an automated, consolidated environment for systematic land surface model evaluation Includes support for a range of in-situ, remote-sensing and other model and reanalysis products. Supports the analysis of outputs from various LIS subsystems, including LIS-DA, LIS-OPT, LIS-UE. Note: The Land Information System Verification Toolkit (LVT) is a NASA software tool designed to enable the evaluation, analysis and comparison of outputs generated by the Land Information System (LIS). The LVT software is released under the terms and conditions of the NASA Open Source Agreement (NOSA) Version 1.1 or later. Land Information System Verification Toolkit (LVT) NOSA.

Provider perceptions of an integrated primary care quality improvement strategy: The PPAQ toolkit.

PubMed

Beehler, Gregory P; Lilienthal, Kaitlin R

2017-02-01

The Primary Care Behavioral Health (PCBH) model of integrated primary care is challenging to implement with high fidelity. The Primary Care Behavioral Health Provider Adherence Questionnaire (PPAQ) was designed to assess provider adherence to essential model components and has recently been adapted into a quality improvement toolkit. The aim of this pilot project was to gather preliminary feedback on providers' perceptions of the acceptability and utility of the PPAQ toolkit for making beneficial practice changes. Twelve mental health providers working in Department of Veterans Affairs integrated primary care clinics participated in semistructured interviews to gather quantitative and qualitative data. Descriptive statistics and qualitative content analysis were used to analyze data. Providers identified several positive features of the PPAQ toolkit organization and structure that resulted in high ratings of acceptability, while also identifying several toolkit components in need of modification to improve usability. Toolkit content was considered highly representative of the (PCBH) model and therefore could be used as a diagnostic self-assessment of model adherence. The toolkit was considered to be high in applicability to providers regardless of their degree of prior professional preparation or current clinical setting. Additionally, providers identified several system-level contextual factors that could impact the usefulness of the toolkit. These findings suggest that frontline mental health providers working in (PCBH) settings may be receptive to using an adherence-focused toolkit for ongoing quality improvement. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Code Parallelization with CAPO: A User Manual

NASA Technical Reports Server (NTRS)

Jin, Hao-Qiang; Frumkin, Michael; Yan, Jerry; Biegel, Bryan (Technical Monitor)

2001-01-01

A software tool has been developed to assist the parallelization of scientific codes. This tool, CAPO, extends an existing parallelization toolkit, CAPTools developed at the University of Greenwich, to generate OpenMP parallel codes for shared memory architectures. This is an interactive toolkit to transform a serial Fortran application code to an equivalent parallel version of the software - in a small fraction of the time normally required for a manual parallelization. We first discuss the way in which loop types are categorized and how efficient OpenMP directives can be defined and inserted into the existing code using the in-depth interprocedural analysis. The use of the toolkit on a number of application codes ranging from benchmark to real-world application codes is presented. This will demonstrate the great potential of using the toolkit to quickly parallelize serial programs as well as the good performance achievable on a large number of toolkit to quickly parallelize serial programs as well as the good performance achievable on a large number of processors. The second part of the document gives references to the parameters and the graphic user interface implemented in the toolkit. Finally a set of tutorials is included for hands-on experiences with this toolkit.

RISMC Toolkit and Methodology Research and Development Plan for External Hazards Analysis

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

Coleman, Justin Leigh

This report includes the description and development plan for a Risk Informed Safety Margins Characterization (RISMC) toolkit and methodology that will evaluate multihazard risk in an integrated manner to support the operating nuclear fleet.

Employer Toolkit.

ERIC Educational Resources Information Center

Thuli, Kelli J.; Hong, Esther

This document consists of two guides intended for either employers or service providers involved in school to work partnerships for students with disabilities. "Tools for Service Providers" is intended to be used for training local-level providers who are developing school to work linkages with employers. Following an introduction, this…

Prescription and over-the-counter medications tool kit (April, 2011 version)

DOT National Transportation Integrated Search

2011-04-01

This Toolkit is a compilation of policies, procedures, forms, and training resources that represent the best practices being used throughout the U.S. by a variety of transit systems. It does not represent all of the effective means that transit syste...

DeepInfer: open-source deep learning deployment toolkit for image-guided therapy

NASA Astrophysics Data System (ADS)

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A.; Kapur, Tina; Wells, William M.; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-03-01

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research work ows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose "DeepInfer" - an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections.

DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy.

PubMed

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A; Kapur, Tina; Wells, William M; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-02-11

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research workflows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose "DeepInfer" - an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections.

DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy

PubMed Central

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A.; Kapur, Tina; Wells, William M.; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-01-01

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research workflows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose “DeepInfer” – an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections. PMID:28615794

Development of an Integrated Human Factors Toolkit

NASA Technical Reports Server (NTRS)

Resnick, Marc L.

2003-01-01

An effective integration of human abilities and limitations is crucial to the success of all NASA missions. The Integrated Human Factors Toolkit facilitates this integration by assisting system designers and analysts to select the human factors tools that are most appropriate for the needs of each project. The HF Toolkit contains information about a broad variety of human factors tools addressing human requirements in the physical, information processing and human reliability domains. Analysis of each tool includes consideration of the most appropriate design stage, the amount of expertise in human factors that is required, the amount of experience with the tool and the target job tasks that are needed, and other factors that are critical for successful use of the tool. The benefits of the Toolkit include improved safety, reliability and effectiveness of NASA systems throughout the agency. This report outlines the initial stages of development for the Integrated Human Factors Toolkit.

Expanding the Toolkit and Resource Environment to Assist Translation (TREAT) and Its User Base

DTIC Science & Technology

2011-06-01

3 Figure 2. Screenshot of TREAT (translation of Arabic source into English target) and two corresponding markup tool windows on Arabic source...initial framework in place, we decided to expand TREAT to provide support to two new groups of users: students learning to be Arabic -language...translators and teachers training them. The students and the teachers are native English speakers, so the training includes learning how to read Arabic

A clinical research analytics toolkit for cohort study.

PubMed

Yu, Yiqin; Zhu, Yu; Sun, Xingzhi; Tao, Ying; Zhang, Shuo; Xu, Linhao; Pan, Yue

2012-01-01

This paper presents a clinical informatics toolkit that can assist physicians to conduct cohort studies effectively and efficiently. The toolkit has three key features: 1) support of procedures defined in epidemiology, 2) recommendation of statistical methods in data analysis, and 3) automatic generation of research reports. On one hand, our system can help physicians control research quality by leveraging the integrated knowledge of epidemiology and medical statistics; on the other hand, it can improve productivity by reducing the complexities for physicians during their cohort studies.

UQTk Version 3.0.3 User Manual

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

Sargsyan, Khachik; Safta, Cosmin; Chowdhary, Kamaljit Singh

2017-05-01

The UQ Toolkit (UQTk) is a collection of libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.0.3 offers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sen- sitivity analysis, methods for sparse surrogate construction, and Bayesian inference tools for inferring parameters from experimental data. This manual discusses the download and installation process for UQTk, provides pointers to the UQ methods used in the toolkit, and describes some of the examples provided with the toolkit.

Augmented reality application for industrial non-destructive inspection training

NASA Astrophysics Data System (ADS)

Amza, Catalin Gheorghe; Zapciu, Aurelian; Teodorescu, Octav

2018-02-01

Such a technology - Augmented Reality (AR) has great potential of use, especially for training purposes of new operators on using expensive equipment. In this context, the paper presents an augmented reality training system developed for phased-array ultrasonic non-destructive testing (NDT) equipment. The application has been developed using Unity 5.6.0 game-engine platform integrated with Vuforia sdk toolkit for devices with Android operating system. The test results performed by several NDT operators showed good results, thus proving the potential of using the application in the industrial field.

THE EPANET PROGRAMMER'S TOOLKIT FOR ANALYSIS OF WATER DISTRIBUTION SYSTEMS

EPA Science Inventory

The EPANET Programmer's Toolkit is a collection of functions that helps simplify computer programming of water distribution network analyses. the functions can be used to read in a pipe network description file, modify selected component properties, run multiple hydraulic and wa...

The Ohio Gestational Diabetes Postpartum Care Learning Collaborative: Development of a Quality Improvement Initiative to Improve Systems of Care for Women.

PubMed

Shellhaas, Cynthia; Conrey, Elizabeth; Crane, Dushka; Lorenz, Allison; Wapner, Andrew; Oza-Frank, Reena; Bouchard, Jo

2016-11-01

Objectives To improve clinical practice and increase postpartum visit Type 2 diabetes mellitus (T2DM) screening rates in women with a history of gestational diabetes mellitus (GDM). Methods We recruited clinical sites with at least half of pregnant patients enrolled in Medicaid to participate in an 18-month quality improvement (QI) project. To support clinical practice changes, we developed provider and patient toolkits with educational and clinical practice resources. Clinical subject-matter experts facilitated a learning network to train sites and promote discussion and learning among sites. Sites submitted data from patient chart reviews monthly for key measures that we used to provide rapid-cycle feedback. Providers were surveyed at completion regarding toolkit usefulness and satisfaction. Results Of fifteen practices recruited, twelve remained actively engaged. We disseminated more than 70 provider and 2345 patient toolkits. Documented delivery of patient education improved for timely GDM prenatal screening, reduction of future T2DM risk, smoking cessation, and family planning. Sites reported toolkits were useful and easy to use. Of women for whom postpartum data were available, 67 % had a documented postpartum visit and 33 % had a postpartum T2DM screen. Lack of information sharing between prenatal and postpartum care providers was are barriers to provision and documentation of care. Conclusions for Practice QI and toolkit resources may improve the quality of prenatal education. However, postpartum care did not reach optimal levels. Future work should focus on strategies to support coordination of care between obstetrical and primary care providers.

The Visualization Toolkit (VTK): Rewriting the rendering code for modern graphics cards

NASA Astrophysics Data System (ADS)

Hanwell, Marcus D.; Martin, Kenneth M.; Chaudhary, Aashish; Avila, Lisa S.

2015-09-01

The Visualization Toolkit (VTK) is an open source, permissively licensed, cross-platform toolkit for scientific data processing, visualization, and data analysis. It is over two decades old, originally developed for a very different graphics card architecture. Modern graphics cards feature fully programmable, highly parallelized architectures with large core counts. VTK's rendering code was rewritten to take advantage of modern graphics cards, maintaining most of the toolkit's programming interfaces. This offers the opportunity to compare the performance of old and new rendering code on the same systems/cards. Significant improvements in rendering speeds and memory footprints mean that scientific data can be visualized in greater detail than ever before. The widespread use of VTK means that these improvements will reap significant benefits.

AutoMicromanager: A microscopy scripting toolkit for LABVIEW and other programming environments

NASA Astrophysics Data System (ADS)

Ashcroft, Brian Alan; Oosterkamp, Tjerk

2010-11-01

We present a scripting toolkit for the acquisition and analysis of a wide variety of imaging data by integrating the ease of use of various programming environments such as LABVIEW, IGOR PRO, MATLAB, SCILAB, and others. This toolkit is designed to allow the user to quickly program a variety of standard microscopy components for custom microscopy applications allowing much more flexibility than other packages. Included are both programming tools as well as graphical user interface classes allowing a standard, consistent, and easy to maintain scripting environment. This programming toolkit allows easy access to most commonly used cameras, stages, and shutters through the Micromanager project so the scripter can focus on their custom application instead of boilerplate code generation.

AutoMicromanager: a microscopy scripting toolkit for LABVIEW and other programming environments.

PubMed

Ashcroft, Brian Alan; Oosterkamp, Tjerk

2010-11-01

We present a scripting toolkit for the acquisition and analysis of a wide variety of imaging data by integrating the ease of use of various programming environments such as LABVIEW, IGOR PRO, MATLAB, SCILAB, and others. This toolkit is designed to allow the user to quickly program a variety of standard microscopy components for custom microscopy applications allowing much more flexibility than other packages. Included are both programming tools as well as graphical user interface classes allowing a standard, consistent, and easy to maintain scripting environment. This programming toolkit allows easy access to most commonly used cameras, stages, and shutters through the Micromanager project so the scripter can focus on their custom application instead of boilerplate code generation.

Desensitized Optimal Filtering and Sensor Fusion Toolkit

NASA Technical Reports Server (NTRS)

Karlgaard, Christopher D.

2015-01-01

Analytical Mechanics Associates, Inc., has developed a software toolkit that filters and processes navigational data from multiple sensor sources. A key component of the toolkit is a trajectory optimization technique that reduces the sensitivity of Kalman filters with respect to model parameter uncertainties. The sensor fusion toolkit also integrates recent advances in adaptive Kalman and sigma-point filters for non-Gaussian problems with error statistics. This Phase II effort provides new filtering and sensor fusion techniques in a convenient package that can be used as a stand-alone application for ground support and/or onboard use. Its modular architecture enables ready integration with existing tools. A suite of sensor models and noise distribution as well as Monte Carlo analysis capability are included to enable statistical performance evaluations.

32 CFR 105.14 - Training requirements for DoD personnel.

Code of Federal Regulations, 2013 CFR

2013-07-01

...-based, real-life situations to demonstrate the entire cycle of prevention, reporting, response, and...) Explain the nature of sexual assault in the military environment using scenario-based, real-life... rape myths (See SAPR Toolkit on www.sapr.mil), facts, and trends pertaining to the military population...

32 CFR 105.14 - Training requirements for DoD personnel.

Code of Federal Regulations, 2014 CFR

2014-07-01

...-based, real-life situations to demonstrate the entire cycle of prevention, reporting, response, and...) Explain the nature of sexual assault in the military environment using scenario-based, real-life... rape myths (See SAPR Toolkit on www.sapr.mil), facts, and trends pertaining to the military population...

Development of an educational 'toolkit' for health professionals and their patients with prediabetes: the WAKEUP study (Ways of Addressing Knowledge Education and Understanding in Pre-diabetes).

PubMed

Evans, P H; Greaves, C; Winder, R; Fearn-Smith, J; Campbell, J L

2007-07-01

To identify key messages about pre-diabetes and to design, develop and pilot an educational toolkit to address the information needs of patients and health professionals. Mixed qualitative methodology within an action research framework. Focus group interviews with patients and health professionals and discussion with an expert reference group aimed to identify the important messages and produce a draft toolkit. Two action research cycles were then conducted in two general practices, during which the draft toolkit was used and video-taped consultations and follow-up patient interviews provided further data. Framework analysis techniques were used to examine the data and to elicit action points for improving the toolkit. The key messages about pre-diabetes concerned the seriousness of the condition, the preventability of progression to diabetes, and the need for lifestyle change. As well as feedback on the acceptability and use of the toolkit, four main themes were identified in the data: knowledge and education needs (of both patients and health professionals); communicating knowledge and motivating change; redesign of practice systems to support pre-diabetes management and the role of the health professional. The toolkit we developed was found to be an acceptable and useful resource for both patients and health practitioners. Three key messages about pre-diabetes were identified. A toolkit of information materials for patients with pre-diabetes and the health professionals and ideas for improving practice systems for managing pre-diabetes were developed and successfully piloted. Further work is needed to establish the best mode of delivery of the WAKEUP toolkit.

Toward an Efficient Icing CFD Process Using an Interactive Software Toolkit: Smagglce 2D

NASA Technical Reports Server (NTRS)

Vickerman, Mary B.; Choo, Yung K.; Schilling, Herbert W.; Baez, Marivell; Braun, Donald C.; Cotton, Barbara J.

2001-01-01

Two-dimensional CID analysis for iced airfoils can be a labor-intensive task. The software toolkit SmaggIce 2D is being developed to help streamline the CID process and provide the unique features needed for icing. When complete, it will include a combination of partially automated and fully interactive tools for all aspects of the tasks leading up to the flow analysis: geometry preparation, domain decomposition. block boundary demoralization. gridding, and linking with a flow solver. It also includes tools to perform ice shape characterization, an important aid in determining the relationship between ice characteristics and their effects on aerodynamic performance. Completed tools, work-in-progress, and planned features of the software toolkit are presented here.

Effectiveness and feasibility of a software tool to help patients communicate with doctors about problems they face with their medication regimen (EMPATHy): study protocol for a randomized controlled trial.

PubMed

Billimek, John; Guzman, Herlinda; Angulo, Marco A

2015-04-10

Low-income, Mexican-American patients with diabetes exhibit high rates of medication nonadherence, poor blood sugar control and serious complications, and often have difficulty communicating their concerns about the medication regimen to physicians. Interventions led by community health workers, non-professional community members who are trained to work with patients to improve engagement and communication during the medical visit, have had mixed success in improving outcomes. The primary objective of this project is to pilot test a prototype software toolkit called "EMPATHy" that a community health worker can administer to help patients identify the most important barriers to adherence that they face and discuss these barriers with their doctor. The EMPATHy toolkit will be piloted in an ongoing intervention (Coached Care) in which community health workers are trained to be "coaches" to meet with patients before the medical visit and help them prepare a list of important questions for the doctor. A total of 190 Mexican-American patients with poorly controlled type 2 diabetes will be recruited from December 2014 through June 2015 and will be randomly assigned to complete either a single Coached Care intervention visit with no software tools or a Coached Care visit incorporating the EMPATHy software toolkit. The primary endpoints are (1) the development of a "contextualized plan of care" (i.e., a plan of care that addresses a barrier to medication adherence in the patient's daily life) with the doctor, determined from an audio recording of the medical visit, and (2) attainment of a concrete behavioral goal set during the intervention session, assessed in a 2-week follow-up phone call to the patient. The statistical analysis will include logistic regression models and is powered to detect a 50% increase in the primary endpoints. The study will provide evidence regarding the effectiveness and feasibility of a software tool to help patients communicate with doctors about problems they face with their medications. ClinicalTrials.gov NCT02324036 Registered 16 December 2014.

Support vector machines and generalisation in HEP

NASA Astrophysics Data System (ADS)

Bevan, Adrian; Gamboa Goñi, Rodrigo; Hays, Jon; Stevenson, Tom

2017-10-01

We review the concept of Support Vector Machines (SVMs) and discuss examples of their use in a number of scenarios. Several SVM implementations have been used in HEP and we exemplify this algorithm using the Toolkit for Multivariate Analysis (TMVA) implementation. We discuss examples relevant to HEP including background suppression for H → τ + τ - at the LHC with several different kernel functions. Performance benchmarking leads to the issue of generalisation of hyper-parameter selection. The avoidance of fine tuning (over training or over fitting) in MVA hyper-parameter optimisation, i.e. the ability to ensure generalised performance of an MVA that is independent of the training, validation and test samples, is of utmost importance. We discuss this issue and compare and contrast performance of hold-out and k-fold cross-validation. We have extended the SVM functionality and introduced tools to facilitate cross validation in TMVA and present results based on these improvements.

Toolkit for testing scientific CCD cameras

NASA Astrophysics Data System (ADS)

Uzycki, Janusz; Mankiewicz, Lech; Molak, Marcin; Wrochna, Grzegorz

2006-03-01

The CCD Toolkit (1) is a software tool for testing CCD cameras which allows to measure important characteristics of a camera like readout noise, total gain, dark current, 'hot' pixels, useful area, etc. The application makes a statistical analysis of images saved in files with FITS format, commonly used in astronomy. A graphical interface is based on the ROOT package, which offers high functionality and flexibility. The program was developed in a way to ensure future compatibility with different operating systems: Windows and Linux. The CCD Toolkit was created for the "Pie of the Sky" project collaboration (2).

A research education program model to prepare a highly qualified workforce in biomedical and health-related research and increase diversity.

PubMed

Crockett, Elahé T

2014-09-24

The National Institutes of Health has recognized a compelling need to train highly qualified individuals and promote diversity in the biomedical/clinical sciences research workforce. In response, we have developed a research-training program known as REPID (Research Education Program to Increase Diversity among Health Researchers) to prepare students/learners to pursue research careers in these fields and address the lack of diversity and health disparities. By inclusion of students/learners from minority and diverse backgrounds, the REPID program aims to provide a research training and enrichment experience through team mentoring to inspire students/learners to pursue research careers in biomedical and health-related fields. Students/learners are recruited from the University campus from a diverse population of undergraduates, graduates, health professionals, and lifelong learners. Our recruits first enroll into an innovative on-line introductory course in Basics and Methods in Biomedical Research that uses a laboratory Tool-Kit (a lab in a box called the My Dr. ET Lab Tool-Kit) to receive the standard basics of research education, e.g., research skills, and lab techniques. The students/learners will also learn about the responsible conduct of research, research concept/design, data recording/analysis, and scientific writing/presentation. The course is followed by a 12-week hands-on research experience during the summer. The students/learners also attend workshops and seminars/conferences. The students/learners receive scholarship to cover stipends, research related expenses, and to attend a scientific conference. The scholarship allows the students/learners to gain knowledge and seize opportunities in biomedical and health-related careers. This is an ongoing program, and during the first three years of the program, fifty-one (51) students/learners have been recruited. Thirty-six (36) have completed their research training, and eighty percent (80%) of them have continued their research experiences beyond the program. The combination of carefully providing standard basics of research education and mentorship has been successful and instrumental for training these students/learners and their success in finding biomedical/health-related jobs and/or pursuing graduate/medical studies. All experiences have been positive and highly promoted. This approach has the potential to train a highly qualified workforce, change lives, enhance biomedical research, and by extension, improve national health-care.

The Liquid Argon Software Toolkit (LArSoft): Goals, Status and Plan

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

Pordes, Rush; Snider, Erica

LArSoft is a toolkit that provides a software infrastructure and algorithms for the simulation, reconstruction and analysis of events in Liquid Argon Time Projection Chambers (LArTPCs). It is used by the ArgoNeuT, LArIAT, MicroBooNE, DUNE (including 35ton prototype and ProtoDUNE) and SBND experiments. The LArSoft collaboration provides an environment for the development, use, and sharing of code across experiments. The ultimate goal is to develop fully automatic processes for reconstruction and analysis of LArTPC events. The toolkit is based on the art framework and has a well-defined architecture to interface to other packages, including to GEANT4 and GENIE simulation softwaremore » and the Pandora software development kit for pattern recognition. It is designed to facilitate and support the evolution of algorithms including their transition to new computing platforms. The development of the toolkit is driven by the scientific stakeholders involved. The core infrastructure includes standard definitions of types and constants, means to input experiment geometries as well as meta and event- data in several formats, and relevant general utilities. Examples of algorithms experiments have contributed to date are: photon-propagation; particle identification; hit finding, track finding and fitting; electromagnetic shower identification and reconstruction. We report on the status of the toolkit and plans for future work.« less

Mission Operations and Navigation Toolkit Environment

NASA Technical Reports Server (NTRS)

Sunseri, Richard F.; Wu, Hsi-Cheng; Hanna, Robert A.; Mossey, Michael P.; Duncan, Courtney B.; Evans, Scott E.; Evans, James R.; Drain, Theodore R.; Guevara, Michelle M.; Martin Mur, Tomas J.;

PAGANI Toolkit: Parallel graph-theoretical analysis package for brain network big data.

PubMed

Du, Haixiao; Xia, Mingrui; Zhao, Kang; Liao, Xuhong; Yang, Huazhong; Wang, Yu; He, Yong

2018-05-01

The recent collection of unprecedented quantities of neuroimaging data with high spatial resolution has led to brain network big data. However, a toolkit for fast and scalable computational solutions is still lacking. Here, we developed the PArallel Graph-theoretical ANalysIs (PAGANI) Toolkit based on a hybrid central processing unit-graphics processing unit (CPU-GPU) framework with a graphical user interface to facilitate the mapping and characterization of high-resolution brain networks. Specifically, the toolkit provides flexible parameters for users to customize computations of graph metrics in brain network analyses. As an empirical example, the PAGANI Toolkit was applied to individual voxel-based brain networks with ∼200,000 nodes that were derived from a resting-state fMRI dataset of 624 healthy young adults from the Human Connectome Project. Using a personal computer, this toolbox completed all computations in ∼27 h for one subject, which is markedly less than the 118 h required with a single-thread implementation. The voxel-based functional brain networks exhibited prominent small-world characteristics and densely connected hubs, which were mainly located in the medial and lateral fronto-parietal cortices. Moreover, the female group had significantly higher modularity and nodal betweenness centrality mainly in the medial/lateral fronto-parietal and occipital cortices than the male group. Significant correlations between the intelligence quotient and nodal metrics were also observed in several frontal regions. Collectively, the PAGANI Toolkit shows high computational performance and good scalability for analyzing connectome big data and provides a friendly interface without the complicated configuration of computing environments, thereby facilitating high-resolution connectomics research in health and disease. © 2018 Wiley Periodicals, Inc.

A Software Toolkit to Study Systematic Uncertainties of the Physics Models of the Geant4 Simulation Package

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

Genser, Krzysztof; Hatcher, Robert; Kelsey, Michael

The Geant4 simulation toolkit is used to model interactions between particles and matter. Geant4 employs a set of validated physics models that span a wide range of interaction energies. These models rely on measured cross-sections and phenomenological models with the physically motivated parameters that are tuned to cover many application domains. To study what uncertainties are associated with the Geant4 physics models we have designed and implemented a comprehensive, modular, user-friendly software toolkit that allows the variation of one or more parameters of one or more Geant4 physics models involved in simulation studies. It also enables analysis of multiple variantsmore » of the resulting physics observables of interest in order to estimate the uncertainties associated with the simulation model choices. Based on modern event-processing infrastructure software, the toolkit offers a variety of attractive features, e.g. exible run-time con gurable work ow, comprehensive bookkeeping, easy to expand collection of analytical components. Design, implementation technology, and key functionalities of the toolkit are presented in this paper and illustrated with selected results.« less

Health, migration and border management: analysis and capacity-building at Europe's borders.

PubMed

Hollings, Jennifer; Samuilova, Mariya; Petrova-Benedict, Roumyana

2012-04-01

Three key elements were analysed in Hungary, Poland and Slovakia as a basis for strengthening the capacity of staff and structures related to health, migration and border management: public health concerns linked to migration, health needs and rights of migrants and the occupational health of staff. This IOM project was implemented through an in-depth situation analysis as well as the development of training modules and public health guidelines. Findings indicate a paucity of existing data, gaps in the health care for migrants and few existing tools for border officials and health professionals. Sets of training modules were developed for each of these groups, including common modules on migration and the right to health and intercultural communication, as well as targeted health modules. The guidelines promote good practices in the context of border management and detention. The EU is working towards a common immigration policy and integrated border management; however, a harmonized approach to migration and health is still lacking. Further research and piloting of the developed materials is needed to fully establish an adaptable, common toolkit.

Midwives in medical student and resident education and the development of the medical education caucus toolkit.

PubMed

Radoff, Kari; Nacht, Amy; Natch, Amy; McConaughey, Edie; Salstrom, Jan; Schelling, Karen; Seger, Suzanne

2015-01-01

Midwives have been involved formally and informally in the training of medical students and residents for many years. Recent reductions in resident work hours, emphasis on collaborative practice, and a focus on midwives as key members of the maternity care model have increased the involvement of midwives in medical education. Midwives work in academic settings as educators to teach the midwifery model of care, collaboration, teamwork, and professionalism to medical students and residents. In 2009, members of the American College of Nurse-Midwives formed the Medical Education Caucus (MECA) to discuss the needs of midwives teaching medical students and residents; the group has held a workshop annually over the last 4 years. In 2014, MECA workshop facilitators developed a toolkit to support and formalize the role of midwives involved in medical student and resident education. The MECA toolkit provides a roadmap for midwives beginning involvement and continuing or expanding the role of midwives in medical education. This article describes the history of midwives in medical education, the development and growth of MECA, and the resulting toolkit created to support and formalize the role of midwives as educators in medical student and resident education, as well as common challenges for the midwife in academic medicine. This article is part of a special series of articles that address midwifery innovations in clinical practice, education, interprofessional collaboration, health policy, and global health. © 2015 by the American College of Nurse-Midwives.

Workshop on Survey Methods in Education Research: Facilitator's Guide and Resources. REL 2017-214

ERIC Educational Resources Information Center

Walston, Jill; Redford, Jeremy; Bhatt, Monica P.

2017-01-01

This Workshop on Survey Methods in Education Research tool consists of a facilitator guide and workshop handouts. The toolkit is intended for use by state or district education leaders and others who want to conduct training on developing and administering surveys. The facilitator guide provides materials related to various phases of the survey…

Preclinical Development of TVAX: An Advanced Multiantigen Vaccine for Therapy and Prevention of Malignant Mesothelioma

DTIC Science & Technology

2017-09-01

immune responses. What opportunities for training and professional development has the project provided? A career development plan for myself, the...Martin R, Tassone R, Liu R, Terry F, Martin B, De Groot AS. iVAX: An integrated toolkit for the selection and optimization of antigens and the design of

Knowing and Doing Vocational Education and Training Reform: Evidence, Learning and the Policy Process

ERIC Educational Resources Information Center

McGrath, Simon; Lugg, Rosemary

2012-01-01

Much of VET policy internationally draws on a toolkit that has been seriously questioned for its logic, international relevance and effectiveness by considerable amounts of academic research. Reflecting primarily on our experiences of leading a complex, multi-country policy study, we develop an account that seeks to explore ways in which the…

Supercharging Chaperones: A Meeting Toolkit for Maximizing Learning for Youth and Chaperones

ERIC Educational Resources Information Center

Brandt, Brian

2016-01-01

Trip and conference chaperones are a wonderful resource in youth development programs. These well-intended volunteers, many parents of youth participating in the event, want the best experience for the youth but are not necessarily trained in positive youth development. A consequence of this circumstance is that not all chaperones provide the best…

Cancer Imaging Phenomics Toolkit (CaPTk) | Informatics Technology for Cancer Research (ITCR)

Cancer.gov

CaPTk is a software toolkit to facilitate translation of quantitative image analysis methods that help us obtain rich imaging phenotypic signatures of oncologic images and relate them to precision diagnostics and prediction of clinical outcomes, as well as to underlying molecular characteristics of cancer. The stand-alone graphical user interface of CaPTk brings analysis methods from the realm of medical imaging research to the clinic, and will be extended to use web-based services for computationally-demanding pipelines.

MAVEN Data Analysis and Visualization Toolkits

NASA Astrophysics Data System (ADS)

Harter, B., Jr.; DeWolfe, A. W.; Brain, D.; Chaffin, M.

2017-12-01

The Mars Atmospheric and Volatile Evolution (MAVEN) mission has been collecting data at Mars since September 2014. The MAVEN Science Data Center has developed software toolkits for analyzing and visualizing the science data. Our Data Intercomparison and Visualization Development Effort (DIVIDE) toolkit is written in IDL, and utilizes the widely used "tplot" IDL libraries. Recently, we have converted DIVIDE into Python in an effort to increase the accessibility of the MAVEN data. This conversion also necessitated the development of a Python version of the tplot libraries, which we have dubbed "PyTplot". PyTplot is generalized to work with missions beyond MAVEN, and our software is available on Github.

New Software Developments for Quality Mesh Generation and Optimization from Biomedical Imaging Data

PubMed Central

Yu, Zeyun; Wang, Jun; Gao, Zhanheng; Xu, Ming; Hoshijima, Masahiko

2013-01-01

In this paper we present a new software toolkit for generating and optimizing surface and volumetric meshes from three-dimensional (3D) biomedical imaging data, targeted at image-based finite element analysis of some biomedical activities in a single material domain. Our toolkit includes a series of geometric processing algorithms including surface re-meshing and quality-guaranteed tetrahedral mesh generation and optimization. All methods described have been encapsulated into a user-friendly graphical interface for easy manipulation and informative visualization of biomedical images and mesh models. Numerous examples are presented to demonstrate the effectiveness and efficiency of the described methods and toolkit. PMID:24252469

The PyRosetta Toolkit: a graphical user interface for the Rosetta software suite.

PubMed

Adolf-Bryfogle, Jared; Dunbrack, Roland L

2013-01-01

The Rosetta Molecular Modeling suite is a command-line-only collection of applications that enable high-resolution modeling and design of proteins and other molecules. Although extremely useful, Rosetta can be difficult to learn for scientists with little computational or programming experience. To that end, we have created a Graphical User Interface (GUI) for Rosetta, called the PyRosetta Toolkit, for creating and running protocols in Rosetta for common molecular modeling and protein design tasks and for analyzing the results of Rosetta calculations. The program is highly extensible so that developers can add new protocols and analysis tools to the PyRosetta Toolkit GUI.

ParCAT: A Parallel Climate Analysis Toolkit

NASA Astrophysics Data System (ADS)

Haugen, B.; Smith, B.; Steed, C.; Ricciuto, D. M.; Thornton, P. E.; Shipman, G.

2012-12-01

Climate science has employed increasingly complex models and simulations to analyze the past and predict the future of our climate. The size and dimensionality of climate simulation data has been growing with the complexity of the models. This growth in data is creating a widening gap between the data being produced and the tools necessary to analyze large, high dimensional data sets. With single run data sets increasing into 10's, 100's and even 1000's of gigabytes, parallel computing tools are becoming a necessity in order to analyze and compare climate simulation data. The Parallel Climate Analysis Toolkit (ParCAT) provides basic tools that efficiently use parallel computing techniques to narrow the gap between data set size and analysis tools. ParCAT was created as a collaborative effort between climate scientists and computer scientists in order to provide efficient parallel implementations of the computing tools that are of use to climate scientists. Some of the basic functionalities included in the toolkit are the ability to compute spatio-temporal means and variances, differences between two runs and histograms of the values in a data set. ParCAT is designed to facilitate the "heavy lifting" that is required for large, multidimensional data sets. The toolkit does not focus on performing the final visualizations and presentation of results but rather, reducing large data sets to smaller, more manageable summaries. The output from ParCAT is provided in commonly used file formats (NetCDF, CSV, ASCII) to allow for simple integration with other tools. The toolkit is currently implemented as a command line utility, but will likely also provide a C library for developers interested in tighter software integration. Elements of the toolkit are already being incorporated into projects such as UV-CDAT and CMDX. There is also an effort underway to implement portions of the CCSM Land Model Diagnostics package using ParCAT in conjunction with Python and gnuplot. ParCAT is implemented in C to provide efficient file IO. The file IO operations in the toolkit use the parallel-netcdf library; this enables the code to use the parallel IO capabilities of modern HPC systems. Analysis that currently requires an estimated 12+ hours with the traditional CCSM Land Model Diagnostics Package can now be performed in as little as 30 minutes on a single desktop workstation and a few minutes for relatively small jobs completed on modern HPC systems such as ORNL's Jaguar.

Influences on the adoption of patient safety innovation in primary care: a qualitative exploration of staff perspectives.

PubMed

Litchfield, Ian; Gill, Paramjit; Avery, Tony; Campbell, Stephen; Perryman, Katherine; Marsden, Kate; Greenfield, Sheila

2018-05-22

Primary care is changing rapidly to meet the needs of an ageing and chronically ill population. New ways of working are called for yet the introduction of innovative service interventions is complicated by organisational challenges arising from its scale and diversity and the growing complexity of patients and their care. One such intervention is the multi-strand, single platform, Patient Safety Toolkit developed to help practices provide safer care in this dynamic and pressured environment where the likelihood of adverse incidents is increasing. Here we describe the attitudes of staff toward these tools and how their implementation was shaped by a number of contextual factors specific to each practice. The Patient Safety Toolkit comprised six tools; a system of rapid note review, an online staff survey, a patient safety questionnaire, prescribing safety indicators, a medicines reconciliation tool, and a safe systems checklist. We implemented these tools at practices across the Midlands, the North West, and the South Coast of England and conducted semi-structured interviews to determine staff perspectives on their effectiveness and applicability. The Toolkit was used in 46 practices and a total of 39 follow-up interviews were conducted. Three key influences emerged on the implementation of the Toolkit these related to their ease of use and the novelty of the information they provide; whether their implementation required additional staff training or practice resource; and finally factors specific to the practice's local environment such as overlapping initiatives orchestrated by their CCG. The concept of a balanced toolkit to address a range of safety issues proved popular. A number of barriers and facilitators emerged in particular those tools that provided relevant information with a minimum impact on practice resource were favoured. Individual practice circumstances also played a role. Practices with IT aware staff were at an advantage and those previously utilising patient safety initiatives were less likely to adopt additional tools with overlapping outputs. By acknowledging these influences we can better interpret reaction to and adoption of individual elements of the toolkit and optimise future implementation.

SIGMA Release v1.2 - Capabilities, Enhancements and Fixes

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

Mahadevan, Vijay; Grindeanu, Iulian R.; Ray, Navamita

In this report, we present details on SIGMA toolkit along with its component structure, capabilities, and feature additions in FY15, release cycles, and continuous integration process. These software processes along with updated documentation are imperative to successfully integrate and utilize in several applications including the SHARP coupled analysis toolkit for reactor core systems funded under the NEAMS DOE-NE program.

GCView: the genomic context viewer for protein homology searches

PubMed Central

Grin, Iwan; Linke, Dirk

2011-01-01

Genomic neighborhood can provide important insights into evolution and function of a protein or gene. When looking at operons, changes in operon structure and composition can only be revealed by looking at the operon as a whole. To facilitate the analysis of the genomic context of a query in multiple organisms we have developed Genomic Context Viewer (GCView). GCView accepts results from one or multiple protein homology searches such as BLASTp as input. For each hit, the neighboring protein-coding genes are extracted, the regions of homology are labeled for each input and the results are presented as a clear, interactive graphical output. It is also possible to add more searches to iteratively refine the output. GCView groups outputs by the hits for different proteins. This allows for easy comparison of different operon compositions and structures. The tool is embedded in the framework of the Bioinformatics Toolkit of the Max-Planck Institute for Developmental Biology (MPI Toolkit). Job results from the homology search tools inside the MPI Toolkit can be forwarded to GCView and results can be subsequently analyzed by sequence analysis tools. Results are stored online, allowing for later reinspection. GCView is freely available at http://toolkit.tuebingen.mpg.de/gcview. PMID:21609955

PEA: an integrated R toolkit for plant epitranscriptome analysis.

PubMed

Zhai, Jingjing; Song, Jie; Cheng, Qian; Tang, Yunjia; Ma, Chuang

2018-05-29

The epitranscriptome, also known as chemical modifications of RNA (CMRs), is a newly discovered layer of gene regulation, the biological importance of which emerged through analysis of only a small fraction of CMRs detected by high-throughput sequencing technologies. Understanding of the epitranscriptome is hampered by the absence of computational tools for the systematic analysis of epitranscriptome sequencing data. In addition, no tools have yet been designed for accurate prediction of CMRs in plants, or to extend epitranscriptome analysis from a fraction of the transcriptome to its entirety. Here, we introduce PEA, an integrated R toolkit to facilitate the analysis of plant epitranscriptome data. The PEA toolkit contains a comprehensive collection of functions required for read mapping, CMR calling, motif scanning and discovery, and gene functional enrichment analysis. PEA also takes advantage of machine learning technologies for transcriptome-scale CMR prediction, with high prediction accuracy, using the Positive Samples Only Learning algorithm, which addresses the two-class classification problem by using only positive samples (CMRs), in the absence of negative samples (non-CMRs). Hence PEA is a versatile epitranscriptome analysis pipeline covering CMR calling, prediction, and annotation, and we describe its application to predict N6-methyladenosine (m6A) modifications in Arabidopsis thaliana. Experimental results demonstrate that the toolkit achieved 71.6% sensitivity and 73.7% specificity, which is superior to existing m6A predictors. PEA is potentially broadly applicable to the in-depth study of epitranscriptomics. PEA Docker image is available at https://hub.docker.com/r/malab/pea, source codes and user manual are available at https://github.com/cma2015/PEA. chuangma2006@gmail.com. Supplementary data are available at Bioinformatics online.

IBiSA_Tools: A Computational Toolkit for Ion-Binding State Analysis in Molecular Dynamics Trajectories of Ion Channels.

PubMed

Kasahara, Kota; Kinoshita, Kengo

2016-01-01

Ion conduction mechanisms of ion channels are a long-standing conundrum. Although the molecular dynamics (MD) method has been extensively used to simulate ion conduction dynamics at the atomic level, analysis and interpretation of MD results are not straightforward due to complexity of the dynamics. In our previous reports, we proposed an analytical method called ion-binding state analysis to scrutinize and summarize ion conduction mechanisms by taking advantage of a variety of analytical protocols, e.g., the complex network analysis, sequence alignment, and hierarchical clustering. This approach effectively revealed the ion conduction mechanisms and their dependence on the conditions, i.e., ion concentration and membrane voltage. Here, we present an easy-to-use computational toolkit for ion-binding state analysis, called IBiSA_tools. This toolkit consists of a C++ program and a series of Python and R scripts. From the trajectory file of MD simulations and a structure file, users can generate several images and statistics of ion conduction processes. A complex network named ion-binding state graph is generated in a standard graph format (graph modeling language; GML), which can be visualized by standard network analyzers such as Cytoscape. As a tutorial, a trajectory of a 50 ns MD simulation of the Kv1.2 channel is also distributed with the toolkit. Users can trace the entire process of ion-binding state analysis step by step. The novel method for analysis of ion conduction mechanisms of ion channels can be easily used by means of IBiSA_tools. This software is distributed under an open source license at the following URL: http://www.ritsumei.ac.jp/~ktkshr/ibisa_tools/.

QALMA: A computational toolkit for the analysis of quality protocols for medical linear accelerators in radiation therapy

NASA Astrophysics Data System (ADS)

Rahman, Md Mushfiqur; Lei, Yu; Kalantzis, Georgios

2018-01-01

Quality Assurance (QA) for medical linear accelerator (linac) is one of the primary concerns in external beam radiation Therapy. Continued advancements in clinical accelerators and computer control technology make the QA procedures more complex and time consuming which often, adequate software accompanied with specific phantoms is required. To ameliorate that matter, we introduce QALMA (Quality Assurance for Linac with MATLAB), a MALAB toolkit which aims to simplify the quantitative analysis of QA for linac which includes Star-Shot analysis, Picket Fence test, Winston-Lutz test, Multileaf Collimator (MLC) log file analysis and verification of light & radiation field coincidence test.

A Toolkit to assess health needs for congenital disorders in low- and middle-income countries: an instrument for public health action.

PubMed

Nacul, L C; Stewart, A; Alberg, C; Chowdhury, S; Darlison, M W; Grollman, C; Hall, A; Modell, B; Moorthie, S; Sagoo, G S; Burton, H

2014-06-01

In 2010 the World Health Assembly called for action to improve the care and prevention of congenital disorders, noting that technical guidance would be required for this task, especially in low- and middle-income countries. Responding to this call, we have developed a freely available web-accessible Toolkit for assessing health needs for congenital disorders. Materials for the Toolkit website (http://toolkit.phgfoundation.org) were prepared by an iterative process of writing, discussion and modification by the project team, with advice from external experts. A customized database was developed using epidemiological, demographic, socio-economic and health-services data from a range of validated sources. Document-processing and data integration software combines data from the database with a template to generate topic- and country-specific Calculator documents for quantitative analysis. The Toolkit guides users through selection of topics (including both clinical conditions and relevant health services), assembly and evaluation of qualitative and quantitative information, assessment of the potential effects of selected interventions, and planning and prioritization of actions to reduce the risk or prevalence of congenital disorders. The Toolkit enables users without epidemiological or public health expertise to undertake health needs assessment as a prerequisite for strategic planning in relation to congenital disorders in their country or region. © The Author 2013. Published by Oxford University Press on behalf of Faculty of Public Health.

New Careers in Nursing Scholar Alumni Toolkit: Development of an Innovative Resource for Transition to Practice.

PubMed

Mauro, Ann Marie P; Escallier, Lori A; Rosario-Sim, Maria G

2016-01-01

The transition from student to professional nurse is challenging and may be more difficult for underrepresented minority nurses. The Robert Wood Johnson Foundation New Careers in Nursing (NCIN) program supported development of a toolkit that would serve as a transition-to-practice resource to promote retention of NCIN alumni and other new nurses. Thirteen recent NCIN alumni (54% male, 23% Hispanic/Latino, 23% African Americans) from 3 schools gave preliminary content feedback. An e-mail survey was sent to a convenience sample of 29 recent NCIN alumni who evaluated the draft toolkit using a Likert scale (poor = 1; excellent = 5). Twenty NCIN alumni draft toolkit reviewers (response rate 69%) were primarily female (80%) and Hispanic/Latino (40%). Individual chapters' mean overall rating of 4.67 demonstrated strong validation. Mean scores for overall toolkit content (4.57), usability (4.5), relevance (4.79), and quality (4.71) were also excellent. Qualitative comments were analyzed using thematic content analysis and supported the toolkit's relevance and utility. A multilevel peer review process was also conducted. Peer reviewer feedback resulted in a 6-chapter document that offers resources for successful transition to practice and lays the groundwork for continued professional growth. Future research is needed to determine the ideal time to introduce this resource. Copyright © 2016 Elsevier Inc. All rights reserved.

Virtual Solar Energy Center: A Case Study of the Use of Advanced Visualization Techniques for the Comprehension of Complex Engineering Products and Processes

NASA Astrophysics Data System (ADS)

Ritter, Kenneth August, III

Industry has a continuing need to train its workforce on recent engineering developments, but many engineering products and processes are hard to explain because of limitations of size, visibility, time scale, cost, and safety. The product or process might be difficult to see because it is either very large or very small, because it is enclosed within an opaque container, or because it happens very fast or very slowly. Some engineering products and processes are also costly or unsafe to use for training purposes, and sometimes the domain expert is not physically available at the training location. All these limitations can potentially be addressed using advanced visualization techniques such as virtual reality. This dissertation describes the development of an immersive virtual reality application using the Six Sigma DMADV process to explain the main equipment and processes used in a concentrating solar power plant. The virtual solar energy center (VEC) application was initially developed and tested in a Cave Automatic Virtual Environment (CAVE) during 2013 and 2014. The software programs used for development were SolidWorks, 3ds Max Design, and Unity 3D. Current hardware and software technologies that could complement this research were analyzed. The NVIDA GRID Visual Computing Appliance (VCA) was chosen as the rendering solution for animating complex CAD models in this application. The MiddleVR software toolkit was selected as the toolkit for VR interactions and CAVE display. A non-immersive 3D version of the VEC application was tested and shown to be an effective training tool in late 2015. An immersive networked version of the VEC allows the user to receive live instruction from a trainer being projected via depth camera imagery from a remote location. Four comparative analysis studies were performed. These studies used the average normalized gain from pre-test scores to determine the effectiveness of the various training methods. With the DMADV approach, solutions were identified and verified during each iteration of the development, which saved valuable time and resulted in better results being achieved in each revision of the application, with the final version having 88% positive responses and same effectiveness as other methods assessed.

GOEAST: a web-based software toolkit for Gene Ontology enrichment analysis.

PubMed

Zheng, Qi; Wang, Xiu-Jie

2008-07-01

Gene Ontology (GO) analysis has become a commonly used approach for functional studies of large-scale genomic or transcriptomic data. Although there have been a lot of software with GO-related analysis functions, new tools are still needed to meet the requirements for data generated by newly developed technologies or for advanced analysis purpose. Here, we present a Gene Ontology Enrichment Analysis Software Toolkit (GOEAST), an easy-to-use web-based toolkit that identifies statistically overrepresented GO terms within given gene sets. Compared with available GO analysis tools, GOEAST has the following improved features: (i) GOEAST displays enriched GO terms in graphical format according to their relationships in the hierarchical tree of each GO category (biological process, molecular function and cellular component), therefore, provides better understanding of the correlations among enriched GO terms; (ii) GOEAST supports analysis for data from various sources (probe or probe set IDs of Affymetrix, Illumina, Agilent or customized microarrays, as well as different gene identifiers) and multiple species (about 60 prokaryote and eukaryote species); (iii) One unique feature of GOEAST is to allow cross comparison of the GO enrichment status of multiple experiments to identify functional correlations among them. GOEAST also provides rigorous statistical tests to enhance the reliability of analysis results. GOEAST is freely accessible at http://omicslab.genetics.ac.cn/GOEAST/

New software developments for quality mesh generation and optimization from biomedical imaging data.

PubMed

Yu, Zeyun; Wang, Jun; Gao, Zhanheng; Xu, Ming; Hoshijima, Masahiko

2014-01-01

In this paper we present a new software toolkit for generating and optimizing surface and volumetric meshes from three-dimensional (3D) biomedical imaging data, targeted at image-based finite element analysis of some biomedical activities in a single material domain. Our toolkit includes a series of geometric processing algorithms including surface re-meshing and quality-guaranteed tetrahedral mesh generation and optimization. All methods described have been encapsulated into a user-friendly graphical interface for easy manipulation and informative visualization of biomedical images and mesh models. Numerous examples are presented to demonstrate the effectiveness and efficiency of the described methods and toolkit. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care--systematic decision aid development and study protocol.

PubMed

Yu, Catherine H; Stacey, Dawn; Sale, Joanna; Hall, Susan; Kaplan, David M; Ivers, Noah; Rezmovitz, Jeremy; Leung, Fok-Han; Shah, Baiju R; Straus, Sharon E

2014-01-22

Care of patients with diabetes often occurs in the context of other chronic illness. Competing disease priorities and competing patient-physician priorities present challenges in the provision of care for the complex patient. Guideline implementation interventions to date do not acknowledge these intricacies of clinical practice. As a result, patients and providers are left overwhelmed and paralyzed by the sheer volume of recommendations and tasks. An individualized approach to the patient with diabetes and multiple comorbid conditions using shared decision-making (SDM) and goal setting has been advocated as a patient-centred approach that may facilitate prioritization of treatment options. Furthermore, incorporating interprofessional integration into practice may overcome barriers to implementation. However, these strategies have not been taken up extensively in clinical practice. To systematically develop and test an interprofessional SDM and goal-setting toolkit for patients with diabetes and other chronic diseases, following the Knowledge to Action framework. 1. Feasibility study: Individual interviews with primary care physicians, nurses, dietitians, pharmacists, and patients with diabetes will be conducted, exploring their experiences with shared decision-making and priority-setting, including facilitators and barriers, the relevance of a decision aid and toolkit for priority-setting, and how best to integrate it into practice.2. Toolkit development: Based on this data, an evidence-based multi-component SDM toolkit will be developed. The toolkit will be reviewed by content experts (primary care, endocrinology, geriatricians, nurses, dietitians, pharmacists, patients) for accuracy and comprehensiveness.3. Heuristic evaluation: A human factors engineer will review the toolkit and identify, list and categorize usability issues by severity.4. Usability testing: This will be done using cognitive task analysis.5. Iterative refinement: Throughout the development process, the toolkit will be refined through several iterative cycles of feedback and redesign. Interprofessional shared decision-making regarding priority-setting with the use of a decision aid toolkit may help prioritize care of individuals with multiple comorbid conditions. Adhering to principles of user-centered design, we will develop and refine a toolkit to assess the feasibility of this approach.

Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care - systematic decision aid development and study protocol

PubMed Central

2014-01-01

Background Care of patients with diabetes often occurs in the context of other chronic illness. Competing disease priorities and competing patient-physician priorities present challenges in the provision of care for the complex patient. Guideline implementation interventions to date do not acknowledge these intricacies of clinical practice. As a result, patients and providers are left overwhelmed and paralyzed by the sheer volume of recommendations and tasks. An individualized approach to the patient with diabetes and multiple comorbid conditions using shared decision-making (SDM) and goal setting has been advocated as a patient-centred approach that may facilitate prioritization of treatment options. Furthermore, incorporating interprofessional integration into practice may overcome barriers to implementation. However, these strategies have not been taken up extensively in clinical practice. Objectives To systematically develop and test an interprofessional SDM and goal-setting toolkit for patients with diabetes and other chronic diseases, following the Knowledge to Action framework. Methods 1. Feasibility study: Individual interviews with primary care physicians, nurses, dietitians, pharmacists, and patients with diabetes will be conducted, exploring their experiences with shared decision-making and priority-setting, including facilitators and barriers, the relevance of a decision aid and toolkit for priority-setting, and how best to integrate it into practice. 2. Toolkit development: Based on this data, an evidence-based multi-component SDM toolkit will be developed. The toolkit will be reviewed by content experts (primary care, endocrinology, geriatricians, nurses, dietitians, pharmacists, patients) for accuracy and comprehensiveness. 3. Heuristic evaluation: A human factors engineer will review the toolkit and identify, list and categorize usability issues by severity. 4. Usability testing: This will be done using cognitive task analysis. 5. Iterative refinement: Throughout the development process, the toolkit will be refined through several iterative cycles of feedback and redesign. Discussion Interprofessional shared decision-making regarding priority-setting with the use of a decision aid toolkit may help prioritize care of individuals with multiple comorbid conditions. Adhering to principles of user-centered design, we will develop and refine a toolkit to assess the feasibility of this approach. PMID:24450385

Training medical providers in evidence-based approaches to suicide prevention.

PubMed

DeHay, Tamara; Ross, Sarah; McFaul, Mimi

2015-01-01

Suicide is a significant issue in the United States and worldwide, and its prevention is a public health imperative. Primary care practices are an important setting for suicide prevention, as primary care providers have more frequent contact with patients at risk for suicide than any other type of health-care provider. The Western Interstate Commission for Higher Education, in partnership with the Suicide Prevention Resource Center, has developed a Suicide Prevention Toolkit and an associated training curriculum. These resources support the education of primary care providers in evidence-based strategies for identifying and treating patients at risk for suicide. The application of this curriculum to post-graduate medical training is presented here. © The Author(s) 2015.

Application development environment for advanced digital workstations

NASA Astrophysics Data System (ADS)

Valentino, Daniel J.; Harreld, Michael R.; Liu, Brent J.; Brown, Matthew S.; Huang, Lu J.

1998-06-01

One remaining barrier to the clinical acceptance of electronic imaging and information systems is the difficulty in providing intuitive access to the information needed for a specific clinical task (such as reaching a diagnosis or tracking clinical progress). The purpose of this research was to create a development environment that enables the design and implementation of advanced digital imaging workstations. We used formal data and process modeling to identify the diagnostic and quantitative data that radiologists use and the tasks that they typically perform to make clinical decisions. We studied a diverse range of radiology applications, including diagnostic neuroradiology in an academic medical center, pediatric radiology in a children's hospital, screening mammography in a breast cancer center, and thoracic radiology consultation for an oncology clinic. We used object- oriented analysis to develop software toolkits that enable a programmer to rapidly implement applications that closely match clinical tasks. The toolkits support browsing patient information, integrating patient images and reports, manipulating images, and making quantitative measurements on images. Collectively, we refer to these toolkits as the UCLA Digital ViewBox toolkit (ViewBox/Tk). We used the ViewBox/Tk to rapidly prototype and develop a number of diverse medical imaging applications. Our task-based toolkit approach enabled rapid and iterative prototyping of workstations that matched clinical tasks. The toolkit functionality and performance provided a 'hands-on' feeling for manipulating images, and for accessing textual information and reports. The toolkits directly support a new concept for protocol based-reading of diagnostic studies. The design supports the implementation of network-based application services (e.g., prefetching, workflow management, and post-processing) that will facilitate the development of future clinical applications.

Effect of the good school toolkit on school staff mental health, sense of job satisfaction and perceptions of school climate: Secondary analysis of a cluster randomised trial.

PubMed

Kayiwa, Joshua; Clarke, Kelly; Knight, Louise; Allen, Elizabeth; Walakira, Eddy; Namy, Sophie; Merrill, Katherine G; Naker, Dipak; Devries, Karen

2017-08-01

The Good School Toolkit, a complex behavioural intervention delivered in Ugandan primary schools, has been shown to reduce school staff-perpetrated physical violence against students. We aimed to assess the effect of this intervention on staff members' mental health, sense of job satisfaction and perception of school climate. We analysed data from a cluster-randomised trial administered in 42 primary schools in Luwero district, Uganda. The trial was comprised of cross-sectional baseline (June/July 2012) and endline (June/July 2014) surveys among staff and students. Twenty-one schools were randomly selected to receive the Toolkit, whilst 21 schools constituted a wait-listed control group. We generated composite measures to assess staff members' perceptions of the school climate and job satisfaction. The trial is registered at clinicaltrials.gov (NCT01678846). No schools dropped out of the study and all 591 staff members who completed the endline survey were included in the analysis. Staff in schools receiving the Toolkit had more positive perspectives of their school climate compared to staff in control schools (difference in mean scores 2.19, 95% Confidence Interval 0.92, 3.39). We did not find any significant differences for job satisfaction and mental health. In conclusion, interventions like the Good School Toolkit that reduce physical violence by school staff against students can improve staff perceptions of the school climate, and could help to build more positive working and learning environments in Ugandan schools. Copyright © 2017 Elsevier Inc. All rights reserved.

A Software Toolkit to Study Systematic Uncertainties of the Physics Models of the Geant4 Simulation Package

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

Genser, Krzysztof; Hatcher, Robert; Perdue, Gabriel

2016-11-10

The Geant4 toolkit is used to model interactions between particles and matter. Geant4 employs a set of validated physics models that span a wide range of interaction energies. These models are tuned to cover a large variety of possible applications. This raises the critical question of what uncertainties are associated with the Geant4 physics model, or group of models, involved in a simulation project. To address the challenge, we have designed and implemented a comprehen- sive, modular, user-friendly software toolkit that allows the variation of one or more parameters of one or more Geant4 physics models involved in simulation studies.more » It also enables analysis of multiple variants of the resulting physics observables of interest in order to estimate the uncertain- ties associated with the simulation model choices. Key functionalities of the toolkit are presented in this paper and are illustrated with selected results.« less

An automatic speech recognition system with speaker-independent identification support

NASA Astrophysics Data System (ADS)

Caranica, Alexandru; Burileanu, Corneliu

2015-02-01

The novelty of this work relies on the application of an open source research software toolkit (CMU Sphinx) to train, build and evaluate a speech recognition system, with speaker-independent support, for voice-controlled hardware applications. Moreover, we propose to use the trained acoustic model to successfully decode offline voice commands on embedded hardware, such as an ARMv6 low-cost SoC, Raspberry PI. This type of single-board computer, mainly used for educational and research activities, can serve as a proof-of-concept software and hardware stack for low cost voice automation systems.

Planning and Selecting Evaluation Designs for Leadership Training: A Toolkit for Nurse Managers and Educators.

PubMed

Dunne, Simon; Lunn, Cora; Kirwan, Marcia; Matthews, Anne; Condell, Sarah

2015-01-01

Leadership development training and education for nurses is a priority in modern health care systems. Consequently, effective evaluation of nurse leadership development programs is essential for managers and educators in health care organizations to determine the impact of such programs on staff behaviors and patient outcomes. Our team has identified a framework for the evaluation of the design and implementation of such programs. Following this, we provide practical tools for the selection of evaluation methodologies for leadership development programs for use by health care educators and program commissioners. Copyright © 2015 Elsevier Inc. All rights reserved.

Hard-to-fill vacancies.

PubMed

Williams, Ruth

2010-09-29

Skills for Health has launched a set of resources to help healthcare employers tackle hard-to-fill entry-level vacancies and provide sustainable employment for local unemployed people. The Sector Employability Toolkit aims to reduce recruitment and retention costs for entry-level posts and repare people for employment through pre-job training programmes, and support employers to develop local partnerships to gain access to wider pools of candidates and funding streams.

RNA Framework: an all-in-one toolkit for the analysis of RNA structures and post-transcriptional modifications.

PubMed

Incarnato, Danny; Morandi, Edoardo; Simon, Lisa Marie; Oliviero, Salvatore

2018-06-09

RNA is emerging as a key regulator of a plethora of biological processes. While its study has remained elusive for decades, the recent advent of high-throughput sequencing technologies provided the unique opportunity to develop novel techniques for the study of RNA structure and post-transcriptional modifications. Nonetheless, most of the required downstream bioinformatics analyses steps are not easily reproducible, thus making the application of these techniques a prerogative of few laboratories. Here we introduce RNA Framework, an all-in-one toolkit for the analysis of most NGS-based RNA structure probing and post-transcriptional modification mapping experiments. To prove the extreme versatility of RNA Framework, we applied it to both an in-house generated DMS-MaPseq dataset, and to a series of literature available experiments. Notably, when starting from publicly available datasets, our software easily allows replicating authors' findings. Collectively, RNA Framework provides the most complete and versatile toolkit to date for a rapid and streamlined analysis of the RNA epistructurome. RNA Framework is available for download at: http://www.rnaframework.com.

Teaching the physician-manager role to psychiatric residents: development and implementation of a pilot curriculum.

PubMed

Stergiopoulos, Vicky; Maggi, Julie; Sockalingam, Sanjeev

2009-01-01

The authors describe a pilot physician-manager curriculum designed to address the learning needs of psychiatric residents in administrative psychiatry and health systems. The pilot curriculum includes a junior and a senior toolkit of four workshops each. The junior toolkit introduces postgraduate-year two (PGY-2) residents to the principles of teamwork, conflict resolution, quality improvement, and program planning and evaluation. The senior toolkit exposes PGY-4 residents to leadership and change management, organizational structures, mental health and addictions reform, and self and career development. Following curriculum implementation at the University of Toronto, residents rated the importance and clinical relevance of curriculum objectives and commented on the strengths and weaknesses of the workshops and areas needing improvement. The pilot curriculum was successfully introduced at the University of Toronto in 2006. Residents rated the curriculum very highly and commented that interactive learning and contextually relevant topics are essential in meeting their needs. It is possible to successfully introduce a physician-manager curriculum early during psychiatric residency training, to match the specific needs of clinical rotations. Interactive techniques and clinical illustrations may be crucial in facilitating teaching and learning the physician-manager role. The authors discuss barriers, facilitators, and critical success factors in implementing such a curriculum.

Integrating surgical robots into the next medical toolkit.

PubMed

Lai, Fuji; Entin, Eileen

2006-01-01

Surgical robots hold much promise for revolutionizing the field of surgery and improving surgical care. However, despite the potential advantages they offer, there are multiple barriers to adoption and integration into practice that may prevent these systems from realizing their full potential benefit. This study elucidated some of the most salient considerations that need to be addressed for integration of new technologies such as robotic systems into the operating room of the future as it evolves into a complex system of systems. We conducted in-depth interviews with operating room team members and other stakeholders to identify potential barriers in areas of workflow, teamwork, training, clinical acceptance, and human-system interaction. The findings of this study will inform an approach for the design and integration of robotics and related computer-assisted technologies into the next medical toolkit for "computer-enhanced surgery" to improve patient safety and healthcare quality.

The Trick Simulation Toolkit: A NASA/Opensource Framework for Running Time Based Physics Models

NASA Technical Reports Server (NTRS)

Penn, John M.

2016-01-01

The Trick Simulation Toolkit is a simulation development environment used to create high fidelity training and engineering simulations at the NASA Johnson Space Center and many other NASA facilities. Its purpose is to generate a simulation executable from a collection of user-supplied models and a simulation definition file. For each Trick-based simulation, Trick automatically provides job scheduling, numerical integration, the ability to write and restore human readable checkpoints, data recording, interactive variable manipulation, a run-time interpreter, and many other commonly needed capabilities. This allows simulation developers to concentrate on their domain expertise and the algorithms and equations of their models. Also included in Trick are tools for plotting recorded data and various other supporting utilities and libraries. Trick is written in C/C++ and Java and supports both Linux and MacOSX computer operating systems. This paper describes Trick's design and use at NASA Johnson Space Center.

Methodology for the development of a taxonomy and toolkit to evaluate health-related habits and lifestyle (eVITAL)

PubMed Central

2010-01-01

Background Chronic diseases cause an ever-increasing percentage of morbidity and mortality, but many have modifiable risk factors. Many behaviors that predispose or protect an individual to chronic disease are interrelated, and therefore are best approached using an integrated model of health and the longevity paradigm, using years lived without disability as the endpoint. Findings This study used a 4-phase mixed qualitative design to create a taxonomy and related online toolkit for the evaluation of health-related habits. Core members of a working group conducted a literature review and created a framing document that defined relevant constructs. This document was revised, first by a working group and then by a series of multidisciplinary expert groups. The working group and expert panels also designed a systematic evaluation of health behaviors and risks, which was computerized and evaluated for feasibility. A demonstration study of the toolkit was performed in 11 healthy volunteers. Discussion In this protocol, we used forms of the community intelligence approach, including frame analysis, feasibility, and demonstration, to develop a clinical taxonomy and an online toolkit with standardized procedures for screening and evaluation of multiple domains of health, with a focus on longevity and the goal of integrating the toolkit into routine clinical practice. Trial Registration IMSERSO registry 200700012672 PMID:20334642

Implementing a Breastfeeding Toolkit for Nursing Education.

PubMed

Folker-Maglaya, Catherine; Pylman, Maureen E; Couch, Kimberly A; Spatz, Diane L; Marzalik, Penny R

All health professional organizations recommend exclusive breastfeeding for at least 6 months, with continued breastfeeding for 1 year or more after birth. Women cite lack of support from health professionals as a barrier to breastfeeding. Meanwhile, breastfeeding education is not considered essential to basic nursing education and students are not adequately prepared to support breastfeeding women. Therefore, a toolkit of comprehensive evidence-based breastfeeding educational materials was developed to provide essential breastfeeding knowledge. A study was performed to determine the effectiveness of the breastfeeding toolkit education in an associate degree nursing program. A pretest/posttest survey design with intervention and comparison groups was used. One hundred fourteen students completed pre- and posttests. Student knowledge was measured using a 12-item survey derived with minor modifications from Marzalik's 2004 instrument measuring breastfeeding knowledge. When pre- and posttests scores were compared within groups, both groups' knowledge scores increased. A change score was calculated with a significantly higher mean score for the intervention group. When regression analysis was used to control for the pretest score, belonging to the intervention group increased student scores but not significantly. The toolkit was developed to provide a curriculum that demonstrates enhanced learning to prepare nursing students for practice. The toolkit could be used in other settings, such as to educate staff nurses working with childbearing families.

The Automatic Parallelisation of Scientific Application Codes Using a Computer Aided Parallelisation Toolkit

NASA Technical Reports Server (NTRS)

Ierotheou, C.; Johnson, S.; Leggett, P.; Cross, M.; Evans, E.; Jin, Hao-Qiang; Frumkin, M.; Yan, J.; Biegel, Bryan (Technical Monitor)

2001-01-01

The shared-memory programming model is a very effective way to achieve parallelism on shared memory parallel computers. Historically, the lack of a programming standard for using directives and the rather limited performance due to scalability have affected the take-up of this programming model approach. Significant progress has been made in hardware and software technologies, as a result the performance of parallel programs with compiler directives has also made improvements. The introduction of an industrial standard for shared-memory programming with directives, OpenMP, has also addressed the issue of portability. In this study, we have extended the computer aided parallelization toolkit (developed at the University of Greenwich), to automatically generate OpenMP based parallel programs with nominal user assistance. We outline the way in which loop types are categorized and how efficient OpenMP directives can be defined and placed using the in-depth interprocedural analysis that is carried out by the toolkit. We also discuss the application of the toolkit on the NAS Parallel Benchmarks and a number of real-world application codes. This work not only demonstrates the great potential of using the toolkit to quickly parallelize serial programs but also the good performance achievable on up to 300 processors for hybrid message passing and directive-based parallelizations.

A software architecture for automating operations processes

NASA Technical Reports Server (NTRS)

Miller, Kevin J.

1994-01-01

The Operations Engineering Lab (OEL) at JPL has developed a software architecture based on an integrated toolkit approach for simplifying and automating mission operations tasks. The toolkit approach is based on building adaptable, reusable graphical tools that are integrated through a combination of libraries, scripts, and system-level user interface shells. The graphical interface shells are designed to integrate and visually guide a user through the complex steps in an operations process. They provide a user with an integrated system-level picture of an overall process, defining the required inputs and possible output through interactive on-screen graphics. The OEL has developed the software for building these process-oriented graphical user interface (GUI) shells. The OEL Shell development system (OEL Shell) is an extension of JPL's Widget Creation Library (WCL). The OEL Shell system can be used to easily build user interfaces for running complex processes, applications with extensive command-line interfaces, and tool-integration tasks. The interface shells display a logical process flow using arrows and box graphics. They also allow a user to select which output products are desired and which input sources are needed, eliminating the need to know which program and its associated command-line parameters must be executed in each case. The shells have also proved valuable for use as operations training tools because of the OEL Shell hypertext help environment. The OEL toolkit approach is guided by several principles, including the use of ASCII text file interfaces with a multimission format, Perl scripts for mission-specific adaptation code, and programs that include a simple command-line interface for batch mode processing. Projects can adapt the interface shells by simple changes to the resources configuration file. This approach has allowed the development of sophisticated, automated software systems that are easy, cheap, and fast to build. This paper will discuss our toolkit approach and the OEL Shell interface builder in the context of a real operations process example. The paper will discuss the design and implementation of a Ulysses toolkit for generating the mission sequence of events. The Sequence of Events Generation (SEG) system provides an adaptable multimission toolkit for producing a time-ordered listing and timeline display of spacecraft commands, state changes, and required ground activities.

SIGKit: a New Data-based Software for Learning Introductory Geophysics

NASA Astrophysics Data System (ADS)

Zhang, Y.; Kruse, S.; George, O.; Esmaeili, S.; Papadimitrios, K. S.; Bank, C. G.; Cadmus, A.; Kenneally, N.; Patton, K.; Brusher, J.

2016-12-01

Students of diverse academic backgrounds take introductory geophysics courses to learn the theory of a variety of measurement and analysis methods with the expectation to be able to apply their basic knowledge to real data. Ideally, such data is collected in field courses and also used in lecture-based courses because they provide a critical context for better learning and understanding of geophysical methods. Each method requires a separate software package for the data processing steps, and the complexity and variety of professional software makes the path through data processing to data interpretation a strenuous learning process for students and a challenging teaching task for instructors. SIGKit (Student Investigation of Geophysics Toolkit) being developed as a collaboration between the University of South Florida, the University of Toronto, and MathWorks intends to address these shortcomings by showing the most essential processing steps and allowing students to visualize the underlying physics of the various methods. It is based on MATLAB software and offered as an easy-to-use graphical user interface and packaged so it can run as an executable in the classroom and the field even on computers without MATLAB licenses. An evaluation of the software based on student feedback from focus-group interviews and think-aloud observations helps drive its development and refinement. The toolkit provides a logical gateway into the more sophisticated and costly software students will encounter later in their training and careers by combining essential visualization, modeling, processing, and analysis steps for seismic, GPR, magnetics, gravity, resistivity, and electromagnetic data.

The North Dakota mental health and aging education project: curriculum design and training outcomes for a train-the-trainer model.

PubMed

Fitzgerald, Margaret A; Chromy, Barbara; Philbrick, Candace A; Sanders, Gregory F; Muske, Kara L; Bratteli, Marlys

2009-01-01

A training curriculum on mental health and aging was developed and disseminated to 32 natural caregivers throughout a frontier state using a train-the-trainer model. Those certified as trainers included social workers, religious professionals, volunteers, long-term care employees, nurses, home health workers, and professional and informal caregivers. Trainers then utilized the materials assembled into toolkits to provide 1,813 hours of education in all eight regions of North Dakota. The purpose of this study was to evaluate the impact of the training on the preparation of trainers to provide mental health and aging education. Several points of evaluation, including a pre/posttest to assess the trainers' knowledge, an appraisal of the self-perceived value of the education to the trainers, and an applied case study to ascertain the trainers' ability to apply what they had learned, demonstrated the benefits of this model.

NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig

PubMed Central

Sahoo, Satya S.; Wei, Annan; Valdez, Joshua; Wang, Li; Zonjy, Bilal; Tatsuoka, Curtis; Loparo, Kenneth A.; Lhatoo, Samden D.

2016-01-01

The recent advances in neurological imaging and sensing technologies have led to rapid increase in the volume, rate of data generation, and variety of neuroscience data. This “neuroscience Big data” represents a significant opportunity for the biomedical research community to design experiments using data with greater timescale, large number of attributes, and statistically significant data size. The results from these new data-driven research techniques can advance our understanding of complex neurological disorders, help model long-term effects of brain injuries, and provide new insights into dynamics of brain networks. However, many existing neuroinformatics data processing and analysis tools were not built to manage large volume of data, which makes it difficult for researchers to effectively leverage this available data to advance their research. We introduce a new toolkit called NeuroPigPen that was developed using Apache Hadoop and Pig data flow language to address the challenges posed by large-scale electrophysiological signal data. NeuroPigPen is a modular toolkit that can process large volumes of electrophysiological signal data, such as Electroencephalogram (EEG), Electrocardiogram (ECG), and blood oxygen levels (SpO2), using a new distributed storage model called Cloudwave Signal Format (CSF) that supports easy partitioning and storage of signal data on commodity hardware. NeuroPigPen was developed with three design principles: (a) Scalability—the ability to efficiently process increasing volumes of data; (b) Adaptability—the toolkit can be deployed across different computing configurations; and (c) Ease of programming—the toolkit can be easily used to compose multi-step data processing pipelines using high-level programming constructs. The NeuroPigPen toolkit was evaluated using 750 GB of electrophysiological signal data over a variety of Hadoop cluster configurations ranging from 3 to 30 Data nodes. The evaluation results demonstrate that the toolkit is highly scalable and adaptable, which makes it suitable for use in neuroscience applications as a scalable data processing toolkit. As part of the ongoing extension of NeuroPigPen, we are developing new modules to support statistical functions to analyze signal data for brain connectivity research. In addition, the toolkit is being extended to allow integration with scientific workflow systems. NeuroPigPen is released under BSD license at: https://sites.google.com/a/case.edu/neuropigpen/. PMID:27375472

NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig.

PubMed

Sahoo, Satya S; Wei, Annan; Valdez, Joshua; Wang, Li; Zonjy, Bilal; Tatsuoka, Curtis; Loparo, Kenneth A; Lhatoo, Samden D

2016-01-01

The recent advances in neurological imaging and sensing technologies have led to rapid increase in the volume, rate of data generation, and variety of neuroscience data. This "neuroscience Big data" represents a significant opportunity for the biomedical research community to design experiments using data with greater timescale, large number of attributes, and statistically significant data size. The results from these new data-driven research techniques can advance our understanding of complex neurological disorders, help model long-term effects of brain injuries, and provide new insights into dynamics of brain networks. However, many existing neuroinformatics data processing and analysis tools were not built to manage large volume of data, which makes it difficult for researchers to effectively leverage this available data to advance their research. We introduce a new toolkit called NeuroPigPen that was developed using Apache Hadoop and Pig data flow language to address the challenges posed by large-scale electrophysiological signal data. NeuroPigPen is a modular toolkit that can process large volumes of electrophysiological signal data, such as Electroencephalogram (EEG), Electrocardiogram (ECG), and blood oxygen levels (SpO2), using a new distributed storage model called Cloudwave Signal Format (CSF) that supports easy partitioning and storage of signal data on commodity hardware. NeuroPigPen was developed with three design principles: (a) Scalability-the ability to efficiently process increasing volumes of data; (b) Adaptability-the toolkit can be deployed across different computing configurations; and (c) Ease of programming-the toolkit can be easily used to compose multi-step data processing pipelines using high-level programming constructs. The NeuroPigPen toolkit was evaluated using 750 GB of electrophysiological signal data over a variety of Hadoop cluster configurations ranging from 3 to 30 Data nodes. The evaluation results demonstrate that the toolkit is highly scalable and adaptable, which makes it suitable for use in neuroscience applications as a scalable data processing toolkit. As part of the ongoing extension of NeuroPigPen, we are developing new modules to support statistical functions to analyze signal data for brain connectivity research. In addition, the toolkit is being extended to allow integration with scientific workflow systems. NeuroPigPen is released under BSD license at: https://sites.google.com/a/case.edu/neuropigpen/.

Stroke

MedlinePlus

... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ...

Varicose Veins

MedlinePlus

... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ...

Avatars, Media Usage, and the Linkages to E-learning Effectiveness

DTIC Science & Technology

2011-03-01

modalities. American Journal of Business Education, 3(12), 65-76. Carini, R.M., Klein, S.P., & Kuh, G.D. (2006). Student engagement and student learning...1989). Student Engagement and High School Reform. Educational Leadership, 46(5), 34. Patel, L. (2010). Continued dedication to workplace...game. Training and Simulation Journal (11)6, 38-40. 37 Ruhe, V. (2006). A Toolkit for Writing Surveys to Measure Student Engagement , Reflective

Development and evaluation of the environment and communication assessment toolkit with speech-language pathologists.

PubMed

Bruce, Carrie; Brush, Jennifer A; Sanford, Jon A; Calkins, Margaret P

2013-04-01

Communication dysfunction that results from dementia can be exacerbated by environmental barriers such as inadequate lighting, noisy conditions, poor or absent environmental cues, and visual clutter. Speech-language pathologists (SLPs) should address these environmental barriers as part of a comprehensive treatment plan for clients with dementia. The Environment and Communication Assessment Toolkit for Dementia Care (ECAT) was evaluated by SLPs to determine: (1) changes in awareness of environmental factors prior to and after training; (2) impact of the ECAT on practice as measured by changes in the number of environmental modifications recommended and made prior to and after training; (3) utility of the information as measured by the helpfulness, amount of new information, and usefulness of the ECAT; and (4) usability of the ECAT materials based on ease of use. The SLPs used the ECAT with clients with dementia who had functional limitations and required substantial assistance with daily activities. Results indicate that the ECAT is an effective tool for SLPs, providing information about the impact of the environment on communication and supplying sufficient resources to make recommendations and implement effective interventions. The ECAT successfully increased awareness of environmental modifications, influenced the practice of recommending environmental modifications, and had utility in diverse aspects of clinical practice. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Tribal Green Building Toolkit

EPA Pesticide Factsheets

This Tribal Green Building Toolkit (Toolkit) is designed to help tribal officials, community members, planners, developers, and architects develop and adopt building codes to support green building practices. Anyone can use this toolkit!

Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT)

NASA Astrophysics Data System (ADS)

Jiménez-Redondo, Noemi; Calle-Cordón, Alvaro; Kandler, Ute; Simroth, Axel; Morales, Francisco J.; Reyes, Antonio; Odelius, Johan; Thaduri, Aditya; Morgado, Joao; Duarte, Emmanuele

2017-09-01

The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current framework of increased transportation demand by developing and deploying solutions to optimise maintenance interventions planning. It includes two real pilots for road and railways infrastructure. INFRALERT develops an ICT platform (the expert-based Infrastructure Management System, eIMS) which follows a modular approach including several expert-based toolkits. This paper presents the methodologies and preliminary results of the toolkits for i) nowcasting and forecasting of asset condition, ii) alert generation, iii) RAMS & LCC analysis and iv) decision support. The results of these toolkits in a meshed road network in Portugal under the jurisdiction of Infraestruturas de Portugal (IP) are presented showing the capabilities of the approaches.

Find an Interventional Radiologist

MedlinePlus

... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ...

Society of Interventional Radiology

MedlinePlus

... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ...

Hereditary Hemorrhagic Telangiectasia - HHT

MedlinePlus

... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ...

Child Abuse - Multiple Languages

MedlinePlus

... Section Healthy Living Toolkit: Violence In the Home - English PDF Healthy Living Toolkit: Violence In the Home - ... Section Healthy Living Toolkit: Violence In the Home - English PDF Healthy Living Toolkit: Violence In the Home - ...

Wind Integration National Dataset Toolkit | Grid Modernization | NREL

Science.gov Websites

information, share tips The WIND Toolkit includes meteorological conditions and turbine power for more than Integration National Dataset Toolkit Wind Integration National Dataset Toolkit The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern Wind Integration Data Set and

A new open-source Python-based Space Weather data access, visualization, and analysis toolkit

NASA Astrophysics Data System (ADS)

de Larquier, S.; Ribeiro, A.; Frissell, N. A.; Spaleta, J.; Kunduri, B.; Thomas, E. G.; Ruohoniemi, J.; Baker, J. B.

2013-12-01

Space weather research relies heavily on combining and comparing data from multiple observational platforms. Current frameworks exist to aggregate some of the data sources, most based on file downloads via web or ftp interfaces. Empirical models are mostly fortran based and lack interfaces with more useful scripting languages. In an effort to improve data and model access, the SuperDARN community has been developing a Python-based Space Science Data Visualization Toolkit (DaViTpy). At the center of this development was a redesign of how our data (from 30 years of SuperDARN radars) was made available. Several access solutions are now wrapped into one convenient Python interface which probes local directories, a new remote NoSQL database, and an FTP server to retrieve the requested data based on availability. Motivated by the efficiency of this interface and the inherent need for data from multiple instruments, we implemented similar modules for other space science datasets (POES, OMNI, Kp, AE...), and also included fundamental empirical models with Python interfaces to enhance data analysis (IRI, HWM, MSIS...). All these modules and more are gathered in a single convenient toolkit, which is collaboratively developed and distributed using Github and continues to grow. While still in its early stages, we expect this toolkit will facilitate multi-instrument space weather research and improve scientific productivity.

Trinity | Informatics Technology for Cancer Research (ITCR)

Cancer.gov

Trinity Cancer Transcriptome Analysis Toolkit (CTAT) including de novo transcriptome assembly with downstream support for expression analysis and focused analyses on cancer transcriptomes, incorporating mutation and fusion transcript discovery, and single cell analysis.

Chronic pelvic pain (pelvic congestion syndrome)

MedlinePlus

... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ... GUIDELINES, CLINICAL TOPIC ACKNOWLEDGEMENTS MACRA MATTERS HEALTH POLICY, ECONOMICS, CODING REIMBURSEMENT AND APPEALS TOOLKITS UFE AWARENESS TOOLKIT ...

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.

TECA: A Parallel Toolkit for Extreme Climate Analysis

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

Prabhat, Mr; Ruebel, Oliver; Byna, Surendra

2012-03-12

We present TECA, a parallel toolkit for detecting extreme events in large climate datasets. Modern climate datasets expose parallelism across a number of dimensions: spatial locations, timesteps and ensemble members. We design TECA to exploit these modes of parallelism and demonstrate a prototype implementation for detecting and tracking three classes of extreme events: tropical cyclones, extra-tropical cyclones and atmospheric rivers. We process a modern TB-sized CAM5 simulation dataset with TECA, and demonstrate good runtime performance for the three case studies.

Integration Toolkit and Methods (ITKM) Corporate Data Integration Tools (CDIT). Review of the State-of-the-Art with Respect to Integration Toolkits and Methods (ITKM)

DTIC Science & Technology

1992-06-01

system capabilities \\Jch as memory management and network communications are provided by a virtual machine-type operating environment. Various human ...thinking. The elements of this substrate include representational formality, genericity, a method of formal analysis, and augmentation of human analytical...the form of identifying: the data entity itself; its aliases (including how the data is presented th programs or human users in the form of copy

An evaluation of a toolkit for the early detection, management, and control of carbapenemase-producing Enterobacteriaceae: a survey of acute hospital trusts in England.

PubMed

Coope, C M; Verlander, N Q; Schneider, A; Hopkins, S; Welfare, W; Johnson, A P; Patel, B; Oliver, I

2018-03-09

Following hospital outbreaks of carbapenemase-producing Enterobacteriaceae (CPE), Public Health England published a toolkit in December 2013 to promote the early detection, management, and control of CPE colonization and infection in acute hospital settings. To examine awareness, uptake, implementation and usefulness of the CPE toolkit and identify potential barriers and facilitators to its adoption in order to inform future guidance. A cross-sectional survey of National Health Service (NHS) acute trusts was conducted in May 2016. Descriptive analysis and multivariable regression models were conducted, and narrative responses were analysed thematically and informed using behaviour change theory. Most (92%) acute trusts had a written CPE plan. Fewer (75%) reported consistent compliance with screening and isolation of CPE risk patients. Lower prioritization and weaker senior management support for CPE prevention were associated with poorer compliance. Awareness of the CPE toolkit was high and all trusts with patients infected or colonized with CPE had used the toolkit either as provided (32%), or to inform (65%) their own local CPE plan. Despite this, many respondents (80%) did not believe that the CPE toolkit guidance offered an effective means to prevent CPE or was practical to follow. CPE prevention and control requires robust IPC measures. Successful implementation can be hindered by a complex set of factors related to their practical execution, insufficient resources and a lack of confidence in the effectiveness of the guidance. Future CPE guidance would benefit from substantive user involvement, processes for ongoing feedback, and regular guidance updates. Copyright © 2018 The Healthcare Infection Society. All rights reserved.

A Flexible Toolkit Supporting Knowledge-based Tactical Planning for Ground Forces

DTIC Science & Technology

2011-06-01

assigned to each of the Special Areas to model its temporal behaviour . In Figure 5 an optimal path going over two defined intermediate points is...which area can be reached by an armoured infantry platoon within a given time interval, which path should be taken by a support unit to minimize...al. 2008]. Although trained commanders and staff personnel may achieve very accurate planning results, time consuming procedures are excluded when

Every Place Counts Leadership Academy : transportation toolkit quick guide

DOT National Transportation Integrated Search

2016-12-01

This is a quick guide to the Transportation Toolkit. The Transportation Toolkit is meant to explain the transportation process to members of the public with no prior knowledge of transportation. The Toolkit is meant to demystify transportation and he...

Object Toolkit Version 4.3 User’s Manual

DTIC Science & Technology

2016-12-31

unlimited. (OPS-17-12855 dtd 19 Jan 2017) 13. SUPPLEMENTARY NOTES 14. ABSTRACT Object Toolkit is a finite - element model builder specifically designed for...INTRODUCTION 1 What Is Object Toolkit? Object Toolkit is a finite - element model builder specifically designed for creating representations of spacecraft...Nascap-2k and EPIC, the user is not required to purchase or learn expensive finite element generators to create system models. Second, Object Toolkit

Supporting safe driving with arthritis: developing a driving toolkit for clinical practice and consumer use.

PubMed

Vrkljan, Brenda H; Cranney, Ann; Worswick, Julia; O'Donnell, Siobhan; Li, Linda C; Gélinas, Isabelle; Byszewski, Anna; Man-Son-Hing, Malcolm; Marshall, Shawn

2010-01-01

We conducted a series of focus groups to explore the information needs of clinicians and consumers related to arthritis and driving. An open coding analysis identified common themes across both consumer and clinician-based focus groups that underscored the importance of addressing driving-related concerns and the challenges associated with assessing safety. The results revealed that although driving is critical for maintaining independence and community mobility, drivers with arthritis experience several problems that can affect safe operation of a motor vehicle. Findings from this study are part of a broader research initiative that will inform the development of the Arthritis and Driving toolkit. This toolkit outlines strategies to support safe mobility for people with arthritis and will be an important resource in the coming years given the aging population.

The Los Angeles County Community Disaster Resilience Project - a community-level, public health initiative to build community disaster resilience.

PubMed

Eisenman, David; Chandra, Anita; Fogleman, Stella; Magana, Aizita; Hendricks, Astrid; Wells, Ken; Williams, Malcolm; Tang, Jennifer; Plough, Alonzo

2014-08-19

Public health officials need evidence-based methods for improving community disaster resilience and strategies for measuring results. This methods paper describes how one public health department is addressing this problem. This paper provides a detailed description of the theoretical rationale, intervention design and novel evaluation of the Los Angeles County Community Disaster Resilience Project (LACCDR), a public health program for increasing community disaster resilience. The LACCDR Project utilizes a pretest-posttest method with control group design. Sixteen communities in Los Angeles County were selected and randomly assigned to the experimental community resilience group or the comparison group. Community coalitions in the experimental group receive training from a public health nurse trained in community resilience in a toolkit developed for the project. The toolkit is grounded in theory and uses multiple components to address education, community engagement, community and individual self-sufficiency, and partnerships among community organizations and governmental agencies. The comparison communities receive training in traditional disaster preparedness topics of disaster supplies and emergency communication plans. Outcome indicators include longitudinal changes in inter-organizational linkages among community organizations, community member responses in table-top exercises, and changes in household level community resilience behaviors and attitudes. The LACCDR Project is a significant opportunity and effort to operationalize and meaningfully measure factors and strategies to increase community resilience. This paper is intended to provide public health and academic researchers with new tools to conduct their community resilience programs and evaluation research. Results are not yet available and will be presented in future reports.

The Los Angeles County Community Disaster Resilience Project — A Community-Level, Public Health Initiative to Build Community Disaster Resilience

PubMed Central

Eisenman, David; Chandra, Anita; Fogleman, Stella; Magana, Aizita; Hendricks, Astrid; Wells, Ken; Williams, Malcolm; Tang, Jennifer; Plough, Alonzo

2014-01-01

Public health officials need evidence-based methods for improving community disaster resilience and strategies for measuring results. This methods paper describes how one public health department is addressing this problem. This paper provides a detailed description of the theoretical rationale, intervention design and novel evaluation of the Los Angeles County Community Disaster Resilience Project (LACCDR), a public health program for increasing community disaster resilience. The LACCDR Project utilizes a pretest–posttest method with control group design. Sixteen communities in Los Angeles County were selected and randomly assigned to the experimental community resilience group or the comparison group. Community coalitions in the experimental group receive training from a public health nurse trained in community resilience in a toolkit developed for the project. The toolkit is grounded in theory and uses multiple components to address education, community engagement, community and individual self-sufficiency, and partnerships among community organizations and governmental agencies. The comparison communities receive training in traditional disaster preparedness topics of disaster supplies and emergency communication plans. Outcome indicators include longitudinal changes in inter-organizational linkages among community organizations, community member responses in table-top exercises, and changes in household level community resilience behaviors and attitudes. The LACCDR Project is a significant opportunity and effort to operationalize and meaningfully measure factors and strategies to increase community resilience. This paper is intended to provide public health and academic researchers with new tools to conduct their community resilience programs and evaluation research. Results are not yet available and will be presented in future reports. PMID:25153472

Psychiatry Resident Training in Cultural Competence: An Educator's Toolkit.

PubMed

Corral, Irma; Johnson, Toni L; Shelton, Pheston G; Glass, Oliver

2017-06-01

Resident physicians training in psychiatry in the U.S. are required to master a body of knowledge related to cultural psychiatry; are expected to adopt attitudes that endorse the principles of cultural competence; and finally are expected to acquire specific cultural competence skills that facilitate working effectively with diverse patients. This article first provides an overview of the Accreditation Council for Graduate Medical Education (ACGME) competencies related to cultural competence, as well as the American Academy of Child and Adolescent Psychiatry's (AACAP) recommendations for the cultural competence training of child/adolescent fellows. Next, numerous print and electronic resources that can be used in cultural competence education in psychiatry are reviewed and discussed. Finally, we conclude by providing recommendations for psychiatry residency programs that we culled from model cultural competence curricula.

Collaboration in a competitive healthcare system: negotiation 101 for clinicians.

PubMed

Clay-Williams, Robyn; Johnson, Andrew; Lane, Paul; Li, Zhicheng; Camilleri, Lauren; Winata, Teresa; Klug, Michael

2018-04-09

Purpose The purpose of this paper is to evaluate the effectiveness of negotiation training delivered to senior clinicians, managers and executives, by exploring whether staff members implemented negotiation skills in their workplace following the training, and if so, how and when. Design/methodology/approach This is a qualitative study involving face-to-face interviews with 18 senior clinicians, managers and executives who completed a two-day intensive negotiation skills training course. Interviews were transcribed verbatim, and inductive interpretive analysis techniques were used to identify common themes. Research setting was a large tertiary care hospital and health service in regional Australia. Findings Participants generally reported positive affective and utility reactions to the training, and attempted to implement at least some of the skills in the workplace. The main enabler was provision of a Negotiation Toolkit to assist in preparing and conducting negotiations. The main barrier was lack of time to reflect on the principles and prepare for upcoming negotiations. Participants reported that ongoing skill development and retention were not adequately addressed; suggestions for improving sustainability included provision of refresher training and mentoring. Research limitations/implications Limitations include self-reported data, and interview questions positively elicited examples of training translation. Practical implications The training was well matched to participant needs, with negotiation a common and daily activity for most healthcare professionals. Implementation of the skills showed potential for improving collaboration and problem solving in the workplace. Practical examples of how the skills were used in the workplace are provided. Originality/value To the authors' knowledge, this is the first international study aimed at evaluating the effectiveness of an integrative bargaining negotiation training program targeting executives, senior clinicians and management staff in a large healthcare organization.

"Handy Manny" and the Emergent Literacy Technology Toolkit

ERIC Educational Resources Information Center

Hourcade, Jack J.; Parette, Howard P., Jr.; Boeckmann, Nichole; Blum, Craig

2010-01-01

This paper outlines the use of a technology toolkit to support emergent literacy curriculum and instruction in early childhood education settings. Components of the toolkit include hardware and software that can facilitate key emergent literacy skills. Implementation of the comprehensive technology toolkit enhances the development of these…

A Racial Equity Toolkit for Midwifery Organizations.

PubMed

Gordon, Wendy M

2016-11-01

Midwifery associations are increasing awareness and commitment to racial equity in the profession and in the communities we serve. Moving these commitments from words into action may be facilitated by a racial equity toolkit to help guide midwifery organizations to consider all policies, initiatives, and actions with a racial equity lens. Racial equity impact analyses have been used in recent years by various governmental agencies in the United States and abroad with positive results, and emerging literature indicates that nonprofit organizations are having similarly positive results. This article proposes a framework for midwifery organizations to incorporate a racial equity toolkit, starting with explicit intentions of the organization with regard to racial equity in the profession. Indicators of success are elucidated as the next step, followed by the use of a racial equity impact analysis worksheet. This worksheet is applied by teams or committees when considering new policies or initiatives to examine those actions through a racial equity lens. An organizational change team and equity advisory groups are essential in assisting organizational leadership to forecast potential negative and positive impacts. Examples of the components of a midwifery-specific racial equity toolkit are included. © 2016 by the American College of Nurse-Midwives.

The effectiveness of toolkits as knowledge translation strategies for integrating evidence into clinical care: a systematic review

PubMed Central

Yamada, Janet; Shorkey, Allyson; Barwick, Melanie; Widger, Kimberley; Stevens, Bonnie J

2015-01-01

Objectives The aim of this systematic review was to evaluate the effectiveness of toolkits as a knowledge translation (KT) strategy for facilitating the implementation of evidence into clinical care. Toolkits include multiple resources for educating and/or facilitating behaviour change. Design Systematic review of the literature on toolkits. Methods A search was conducted on MEDLINE, EMBASE, PsycINFO and CINAHL. Studies were included if they evaluated the effectiveness of a toolkit to support the integration of evidence into clinical care, and if the KT goal(s) of the study were to inform, share knowledge, build awareness, change practice, change behaviour, and/or clinical outcomes in healthcare settings, inform policy, or to commercialise an innovation. Screening of studies, assessment of methodological quality and data extraction for the included studies were conducted by at least two reviewers. Results 39 relevant studies were included for full review; 8 were rated as moderate to strong methodologically with clinical outcomes that could be somewhat attributed to the toolkit. Three of the eight studies evaluated the toolkit as a single KT intervention, while five embedded the toolkit into a multistrategy intervention. Six of the eight toolkits were partially or mostly effective in changing clinical outcomes and six studies reported on implementation outcomes. The types of resources embedded within toolkits varied but included predominantly educational materials. Conclusions Future toolkits should be informed by high-quality evidence and theory, and should be evaluated using rigorous study designs to explain the factors underlying their effectiveness and successful implementation. PMID:25869686

Study on Web-Based Tool for Regional Agriculture Industry Structure Optimization Using Ajax

NASA Astrophysics Data System (ADS)

Huang, Xiaodong; Zhu, Yeping

According to the research status of regional agriculture industry structure adjustment information system and the current development of information technology, this paper takes web-based regional agriculture industry structure optimization tool as research target. This paper introduces Ajax technology and related application frameworks to build an auxiliary toolkit of decision support system for agricultural policy maker and economy researcher. The toolkit includes a “one page” style component of regional agriculture industry structure optimization which provides agile arguments setting method that enables applying sensitivity analysis and usage of data and comparative advantage analysis result, and a component that can solve the linear programming model and its dual problem by simplex method.

ITEP: an integrated toolkit for exploration of microbial pan-genomes.

PubMed

Benedict, Matthew N; Henriksen, James R; Metcalf, William W; Whitaker, Rachel J; Price, Nathan D

2014-01-03

Comparative genomics is a powerful approach for studying variation in physiological traits as well as the evolution and ecology of microorganisms. Recent technological advances have enabled sequencing large numbers of related genomes in a single project, requiring computational tools for their integrated analysis. In particular, accurate annotations and identification of gene presence and absence are critical for understanding and modeling the cellular physiology of newly sequenced genomes. Although many tools are available to compare the gene contents of related genomes, new tools are necessary to enable close examination and curation of protein families from large numbers of closely related organisms, to integrate curation with the analysis of gain and loss, and to generate metabolic networks linking the annotations to observed phenotypes. We have developed ITEP, an Integrated Toolkit for Exploration of microbial Pan-genomes, to curate protein families, compute similarities to externally-defined domains, analyze gene gain and loss, and generate draft metabolic networks from one or more curated reference network reconstructions in groups of related microbial species among which the combination of core and variable genes constitute the their "pan-genomes". The ITEP toolkit consists of: (1) a series of modular command-line scripts for identification, comparison, curation, and analysis of protein families and their distribution across many genomes; (2) a set of Python libraries for programmatic access to the same data; and (3) pre-packaged scripts to perform common analysis workflows on a collection of genomes. ITEP's capabilities include de novo protein family prediction, ortholog detection, analysis of functional domains, identification of core and variable genes and gene regions, sequence alignments and tree generation, annotation curation, and the integration of cross-genome analysis and metabolic networks for study of metabolic network evolution. ITEP is a powerful, flexible toolkit for generation and curation of protein families. ITEP's modular design allows for straightforward extension as analysis methods and tools evolve. By integrating comparative genomics with the development of draft metabolic networks, ITEP harnesses the power of comparative genomics to build confidence in links between genotype and phenotype and helps disambiguate gene annotations when they are evaluated in both evolutionary and metabolic network contexts.

Evaluation of State Plans and the Livestock Emergency Response Plan (LERP).

PubMed

Schaffer, Amy M; Burton, Kenneth R

The Livestock Emergency Response Plan (LERP) was published in 2014 as a toolkit to assist state agricultural emergency planners in writing or modifying state foreign animal disease/high-consequence disease (FAD/HCD) plans. This research serves as a follow-up to and expands on an initial survey conducted in 2011 by the Department of Homeland Security Office of Health Affairs, Food, Ag, and Veterinary Defense Branch. The purpose of this project is to describe the status of current state animal disease response plans in relation to how closely their content, order, and terminology relate to that described in the LERP template. The analysis was compared to the 2011 study to identify advances, trends, continued areas for increased alignment, and fulfillment of planning gaps in individual state plans. While vast improvements were made in the status of state animal disease response plans from 2011 to 2016, there is nonetheless significant room for enhancing consistency between and identifying gaps in FAD/HCD plans. As awareness of the LERP toolkit grows, the authors hope its use as a template by the states will expand accordingly, thereby increasing consistency between plans and more thoroughly addressing challenges in an FAD/HCD outbreak. The results of this study support the need for curriculum planning resources at the state level. Development of a training curriculum and planning workshops for state agriculture emergency planners will produce a consistent planning philosophy and skill set among state planners-another means of indirectly addressing current planning gaps in agricultural emergency response.

3D Simulation of External Flooding Events for the RISMC Pathway

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

Prescott, Steven; Mandelli, Diego; Sampath, Ramprasad

2015-09-01

Incorporating 3D simulations as part of the Risk-Informed Safety Margins Characterization (RISMIC) Toolkit allows analysts to obtain a more complete picture of complex system behavior for events including external plant hazards. External events such as flooding have become more important recently – however these can be analyzed with existing and validated simulated physics toolkits. In this report, we describe these approaches specific to flooding-based analysis using an approach called Smoothed Particle Hydrodynamics. The theory, validation, and example applications of the 3D flooding simulation are described. Integrating these 3D simulation methods into computational risk analysis provides a spatial/visual aspect to themore » design, improves the realism of results, and can prove visual understanding to validate the analysis of flooding.« less

Analyzing large-scale spiking neural data with HRLAnalysis™

PubMed Central

Thibeault, Corey M.; O'Brien, Michael J.; Srinivasa, Narayan

2014-01-01

The additional capabilities provided by high-performance neural simulation environments and modern computing hardware has allowed for the modeling of increasingly larger spiking neural networks. This is important for exploring more anatomically detailed networks but the corresponding accumulation in data can make analyzing the results of these simulations difficult. This is further compounded by the fact that many existing analysis packages were not developed with large spiking data sets in mind. Presented here is a software suite developed to not only process the increased amount of spike-train data in a reasonable amount of time, but also provide a user friendly Python interface. We describe the design considerations, implementation and features of the HRLAnalysis™ suite. In addition, performance benchmarks demonstrating the speedup of this design compared to a published Python implementation are also presented. The result is a high-performance analysis toolkit that is not only usable and readily extensible, but also straightforward to interface with existing Python modules. PMID:24634655

Instructor Debrief Training in SPOT

NASA Technical Reports Server (NTRS)

Martin, Lynne; Orasanu, Judith; Villeda, Eric; Conners, Mary M. (Technical Monitor)

2002-01-01

One way to enhance the effectiveness of Special Purpose Operational Training' (SPOT) debriefing sessions may be for instructors to make explicit connections between the Crew Resource Management (CRM) concepts a carrier advocates and the behaviors displayed by the crew in question. A tool listing key behaviors from the scenario was devised, accompanied by an instructors' training session in which links were made between the behaviors and the underlying CRM processes they reflect. The aim of the tool is to assist instructors to focus the debriefing on the key SPOT/ CRM issues, in this case on planning. A second tool suggested ways to facilitate the discussion. Fourteen instructors at a major U.S. carrier took part in the training session and used the toolkit in their subsequent debriefs. Pre- and post-training debriefing samples from each instructor were compared to assess whether there were any changes in instructors' approaches to discussions in terms of the topics they covered and how they raised the points.

Measuring the Environmental Dimensions of Human Migration: The Demographer's Toolkit.

PubMed

Fussell, Elizabeth; Hunter, Lori M; Gray, Clark L

2014-09-01

In recent years, the empirical literature linking environmental factors and human migration has grown rapidly and gained increasing visibility among scholars and the policy community. Still, this body of research uses a wide range of methodological approaches for assessing environment-migration relationships. Without comparable data and measures across a range of contexts, it is impossible to make generalizations that would facilitate the development of future migration scenarios. Demographic researchers have a large methodological toolkit for measuring migration as well as modeling its drivers. This toolkit includes population censuses, household surveys, survival analysis and multi-level modeling. This paper's purpose is to introduce climate change researchers to demographic data and methods and to review exemplary studies of the environmental dimensions of human migration. Our intention is to foster interdisciplinary understanding and scholarship, and to promote high quality research on environment and migration that will lead toward broader knowledge of this association.

Measuring the Environmental Dimensions of Human Migration: The Demographer’s Toolkit

PubMed Central

Hunter, Lori M.; Gray, Clark L.

2014-01-01

In recent years, the empirical literature linking environmental factors and human migration has grown rapidly and gained increasing visibility among scholars and the policy community. Still, this body of research uses a wide range of methodological approaches for assessing environment-migration relationships. Without comparable data and measures across a range of contexts, it is impossible to make generalizations that would facilitate the development of future migration scenarios. Demographic researchers have a large methodological toolkit for measuring migration as well as modeling its drivers. This toolkit includes population censuses, household surveys, survival analysis and multi-level modeling. This paper’s purpose is to introduce climate change researchers to demographic data and methods and to review exemplary studies of the environmental dimensions of human migration. Our intention is to foster interdisciplinary understanding and scholarship, and to promote high quality research on environment and migration that will lead toward broader knowledge of this association. PMID:25177108

When paradigms collide at the road rail interface: evaluation of a sociotechnical systems theory design toolkit for cognitive work analysis.

PubMed

Read, Gemma J M; Salmon, Paul M; Lenné, Michael G

2016-09-01

The Cognitive Work Analysis Design Toolkit (CWA-DT) is a recently developed approach that provides guidance and tools to assist in applying the outputs of CWA to design processes to incorporate the values and principles of sociotechnical systems theory. In this paper, the CWA-DT is evaluated based on an application to improve safety at rail level crossings. The evaluation considered the extent to which the CWA-DT met pre-defined methodological criteria and aligned with sociotechnical values and principles. Both process and outcome measures were taken based on the ratings of workshop participants and human factors experts. Overall, workshop participants were positive about the process and indicated that it met the methodological criteria and sociotechnical values. However, expert ratings suggested that the CWA-DT achieved only limited success in producing RLX designs that fully aligned with the sociotechnical approach. Discussion about the appropriateness of the sociotechnical approach in a public safety context is provided. Practitioner Summary: Human factors and ergonomics practitioners need evidence of the effectiveness of methods. A design toolkit for cognitive work analysis, incorporating values and principles from sociotechnical systems theory, was applied to create innovative designs for rail level crossings. Evaluation results based on the application are provided and discussed.

Evaluation of an Extension-Delivered Resource for Accelerating Progress in Childhood Obesity Prevention: The BEPA-Toolkit

ERIC Educational Resources Information Center

Gunter, Katherine B.; Abi Nader, Patrick; Armington, Amanda; Hicks, John C.; John, Deborah

2017-01-01

The Balanced Energy Physical Activity Toolkit, or the BEPA-Toolkit, supports physical activity (PA) programming via Extension in elementary schools. In a pilot study, we evaluated the effectiveness of the BEPA-Toolkit as used by teachers through Supplemental Nutrition Assistance Program Education partnerships. We surveyed teachers (n = 57)…

A review of midwifery in Mongolia utilising the 'Strengthening Midwifery Toolkit'.

PubMed

Kildea, Sue; Larsson, Margareta; Govind, Salik

2012-12-01

The World Health Organization (WHO) developed the 'Strengthening Midwifery Toolkit' in response to an international emphasis on increasing midwifery's role in providing maternal newborn health services. It was used to assist a review of midwifery in Mongolia. A rapid situational assessment included site visits to eight health facilities and four educational institutions resulting in 30 key informant interviews and six focus group discussions (67 midwives and students). A desk review of pertinent documents (n=19) was undertaken. Data collected included assessments of: midwife competency (n=96), scope of practice (n=2), health facilities (n=8), educational institutions (n=4), legislation and regulation (n=1), and midwifery (n=4) Feldsher-Nurse (n=4) and Bachelor-Nurse (n=1) curricula. Stakeholders in Mongolia are committed to strengthening midwifery across the country to better align with international standards. This requires: a long-term investment in reorientating the health workforce and educational institutions, regulatory changes, educational investment, job description changes which will impact on other maternal newborn health service providers. Additional support and incentives for providers in rural and remote areas is needed and investment in health facilities to enable appropriate infection control; and adequate provision of essential equipment and drugs, are important strategies needed to protect staff. Maternity emergency training is required across the country. The Midwifery Toolkit was adapted to suit the local context and provided an excellent framework for this review. Copyright © 2011 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

Business intelligence from social media: a study from the VAST Box Office Challenge.

PubMed

Lu, Yafeng; Wang, Feng; Maciejewski, Ross

2014-01-01

With over 16 million tweets per hour, 600 new blog posts per minute, and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer-based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the idea that visual analytics (VA) can help enable the effective analysis of such data. However, empirical evidence demonstrating the effectiveness of a VA solution is still lacking. A proposed VA toolkit extracts data from Bitly and Twitter to predict movie revenue and ratings. Results from the 2013 VAST Box Office Challenge demonstrate the benefit of an interactive environment for predictive analysis, compared to a purely statistical modeling approach. The VA approach used by the toolkit is generalizable to other domains involving social media data, such as sales forecasting and advertisement analysis.

Genetic Code Analysis Toolkit: A novel tool to explore the coding properties of the genetic code and DNA sequences

NASA Astrophysics Data System (ADS)

Kraljić, K.; Strüngmann, L.; Fimmel, E.; Gumbel, M.

2018-01-01

The genetic code is degenerated and it is assumed that redundancy provides error detection and correction mechanisms in the translation process. However, the biological meaning of the code's structure is still under current research. This paper presents a Genetic Code Analysis Toolkit (GCAT) which provides workflows and algorithms for the analysis of the structure of nucleotide sequences. In particular, sets or sequences of codons can be transformed and tested for circularity, comma-freeness, dichotomic partitions and others. GCAT comes with a fertile editor custom-built to work with the genetic code and a batch mode for multi-sequence processing. With the ability to read FASTA files or load sequences from GenBank, the tool can be used for the mathematical and statistical analysis of existing sequence data. GCAT is Java-based and provides a plug-in concept for extensibility. Availability: Open source Homepage:http://www.gcat.bio/

Implementing a user-driven online quality improvement toolkit for cancer care.

PubMed

Luck, Jeff; York, Laura S; Bowman, Candice; Gale, Randall C; Smith, Nina; Asch, Steven M

2015-05-01

Peer-to-peer collaboration within integrated health systems requires a mechanism for sharing quality improvement lessons. The Veterans Health Administration (VA) developed online compendia of tools linked to specific cancer quality indicators. We evaluated awareness and use of the toolkits, variation across facilities, impact of social marketing, and factors influencing toolkit use. A diffusion of innovations conceptual framework guided the collection of user activity data from the Toolkit Series SharePoint site and an online survey of potential Lung Cancer Care Toolkit users. The VA Toolkit Series site had 5,088 unique visitors in its first 22 months; 5% of users accounted for 40% of page views. Social marketing communications were correlated with site usage. Of survey respondents (n = 355), 54% had visited the site, of whom 24% downloaded at least one tool. Respondents' awareness of the lung cancer quality performance of their facility, and facility participation in quality improvement collaboratives, were positively associated with Toolkit Series site use. Facility-level lung cancer tool implementation varied widely across tool types. The VA Toolkit Series achieved widespread use and a high degree of user engagement, although use varied widely across facilities. The most active users were aware of and active in cancer care quality improvement. Toolkit use seemed to be reinforced by other quality improvement activities. A combination of user-driven tool creation and centralized toolkit development seemed to be effective for leveraging health information technology to spread disease-specific quality improvement tools within an integrated health care system. Copyright © 2015 by American Society of Clinical Oncology.

Network Science Research Laboratory (NSRL) Discrete Event Toolkit

DTIC Science & Technology

2016-01-01

ARL-TR-7579 ● JAN 2016 US Army Research Laboratory Network Science Research Laboratory (NSRL) Discrete Event Toolkit by...Laboratory (NSRL) Discrete Event Toolkit by Theron Trout and Andrew J Toth Computational and Information Sciences Directorate, ARL...Research Laboratory (NSRL) Discrete Event Toolkit 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Theron Trout

Using prospective hazard analysis to assess an active shooter emergency operations plan.

PubMed

Card, Alan J; Harrison, Heidi; Ward, James; Clarkson, P John

2012-01-01

Most risk management activity in the healthcare sector is retrospective, based on learning from experience. This is feasible where the risks are routine, but emergency operations plans (EOP) guide the response to events that are both high risk and rare. Under these circumstances, it is important to get the response right the first time, but learning from experience is usually not an option. This case study presents the rationale for taking a proactive approach to improving healthcare organizations' EOP. It demonstrates how the Prospective Hazard Analysis (PHA) Toolkit can drive organizational learning and argues that this toolkit may lead to more efficient improvement than drills and exercises. © 2012 American Society for Healthcare Risk Management of the American Hospital Association.

KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies.

PubMed

Mapleson, Daniel; Garcia Accinelli, Gonzalo; Kettleborough, George; Wright, Jonathan; Clavijo, Bernardo J

2017-02-15

De novo assembly of whole genome shotgun (WGS) next-generation sequencing (NGS) data benefits from high-quality input with high coverage. However, in practice, determining the quality and quantity of useful reads quickly and in a reference-free manner is not trivial. Gaining a better understanding of the WGS data, and how that data is utilized by assemblers, provides useful insights that can inform the assembly process and result in better assemblies. We present the K-mer Analysis Toolkit (KAT): a multi-purpose software toolkit for reference-free quality control (QC) of WGS reads and de novo genome assemblies, primarily via their k-mer frequencies and GC composition. KAT enables users to assess levels of errors, bias and contamination at various stages of the assembly process. In this paper we highlight KAT's ability to provide valuable insights into assembly composition and quality of genome assemblies through pairwise comparison of k-mers present in both input reads and the assemblies. KAT is available under the GPLv3 license at: https://github.com/TGAC/KAT . bernardo.clavijo@earlham.ac.uk. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

phylo-node: A molecular phylogenetic toolkit using Node.js.

PubMed

O'Halloran, Damien M

2017-01-01

Node.js is an open-source and cross-platform environment that provides a JavaScript codebase for back-end server-side applications. JavaScript has been used to develop very fast and user-friendly front-end tools for bioinformatic and phylogenetic analyses. However, no such toolkits are available using Node.js to conduct comprehensive molecular phylogenetic analysis. To address this problem, I have developed, phylo-node, which was developed using Node.js and provides a stable and scalable toolkit that allows the user to perform diverse molecular and phylogenetic tasks. phylo-node can execute the analysis and process the resulting outputs from a suite of software options that provides tools for read processing and genome alignment, sequence retrieval, multiple sequence alignment, primer design, evolutionary modeling, and phylogeny reconstruction. Furthermore, phylo-node enables the user to deploy server dependent applications, and also provides simple integration and interoperation with other Node modules and languages using Node inheritance patterns, and a customized piping module to support the production of diverse pipelines. phylo-node is open-source and freely available to all users without sign-up or login requirements. All source code and user guidelines are openly available at the GitHub repository: https://github.com/dohalloran/phylo-node.

Development of a toolkit to enhance care processes for people with a long-term neurological condition: a qualitative descriptive study.

PubMed

Sezier, Ann; Mudge, Suzie; Kayes, Nicola; Kersten, Paula; Payne, Deborah; Harwood, Matire; Potter, Eden; Smith, Greta; McPherson, Kathryn M

2018-06-30

To (A) explore perspectives of people with a long-term neurological condition, and of their family, clinicians and other stakeholders on three key processes: two-way communication, self-management and coordination of long-term care; and (B) use these data to develop a 'Living Well Toolkit', a structural support aiming to enhance the quality of these care processes. This qualitative descriptive study drew on the principles of participatory research. Data from interviews and focus groups with participants (n=25) recruited from five hospital, rehabilitation and community settings in New Zealand were analysed using conventional content analysis. Consultation with a knowledge-user group (n=4) and an implementation champion group (n=4) provided additional operational knowledge important to toolkit development and its integration into clinical practice. Four main, and one overarching, themes were constructed: (1) tailoring care: referring to getting to know the person and their individual circumstances; (2) i nvolving others: representing the importance of negotiating the involvement of others in the person's long-term management process; (3) exchanging knowledge: referring to acknowledging patient expertise; and (4) enabling: highlighting the importance of empowering relationships and processes. The overarching theme was: a ssume nothing . These themes informed the development of a toolkit comprising of two parts: one to support the person with the long-term neurological condition, and one targeted at clinicians to guide interaction and support their engagement with patients. Perspectives of healthcare users, clinicians and other stakeholders were fundamental to the development of the Living Well Toolkit. The findings were used to frame toolkit specifications and highlighted potential operational issues that could prove key to its success. Further research to evaluate its use is now underway. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator.

PubMed

Drewes, Rich; Zou, Quan; Goodman, Philip H

2009-01-01

Neuroscience modeling experiments often involve multiple complex neural network and cell model variants, complex input stimuli and input protocols, followed by complex data analysis. Coordinating all this complexity becomes a central difficulty for the experimenter. The Python programming language, along with its extensive library packages, has emerged as a leading "glue" tool for managing all sorts of complex programmatic tasks. This paper describes a toolkit called Brainlab, written in Python, that leverages Python's strengths for the task of managing the general complexity of neuroscience modeling experiments. Brainlab was also designed to overcome the major difficulties of working with the NCS (NeoCortical Simulator) environment in particular. Brainlab is an integrated model-building, experimentation, and data analysis environment for the powerful parallel spiking neural network simulator system NCS.

Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator

PubMed Central

Drewes, Rich; Zou, Quan; Goodman, Philip H.

2008-01-01

Neuroscience modeling experiments often involve multiple complex neural network and cell model variants, complex input stimuli and input protocols, followed by complex data analysis. Coordinating all this complexity becomes a central difficulty for the experimenter. The Python programming language, along with its extensive library packages, has emerged as a leading “glue” tool for managing all sorts of complex programmatic tasks. This paper describes a toolkit called Brainlab, written in Python, that leverages Python's strengths for the task of managing the general complexity of neuroscience modeling experiments. Brainlab was also designed to overcome the major difficulties of working with the NCS (NeoCortical Simulator) environment in particular. Brainlab is an integrated model-building, experimentation, and data analysis environment for the powerful parallel spiking neural network simulator system NCS. PMID:19506707

Economic evaluation of the Good School Toolkit: an intervention for reducing violence in primary schools in Uganda.

PubMed

Greco, Giulia; Knight, Louise; Ssekadde, Willington; Namy, Sophie; Naker, Dipak; Devries, Karen

2018-01-01

This paper presents the cost and cost-effectiveness of the Good School Toolkit (GST), a programme aimed at reducing physical violence perpetrated by school staff to students in Uganda. The effectiveness of the Toolkit was tested with a cluster randomised controlled trial in 42 primary schools in Luwero District, Uganda. A full economic costing evaluation and cost-effectiveness analysis were conducted alongside the trial. Both financial and economic costs were collected retrospectively from the provider's perspective to estimate total and unit costs. The total cost of setting up and running the Toolkit over the 18-month trial period is estimated at US$397 233, excluding process monitor (M&E) activities. The cost to run the intervention is US$7429 per school annually, or US$15 per primary school pupil annually, in the trial intervention schools. It is estimated that the intervention has averted 1620 cases of past-week physical violence during the 18-month implementation period. The total cost per case of violence averted is US$244, and the annual implementation cost is US$96 per case averted during the trial. The GST is a cost-effective intervention for reducing violence against pupils in primary schools in Uganda. It compares favourably against other violence reduction interventions in the region.

TOOLKIT, Version 2. 0

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

Schroeder, E.; Bagot, B.; McNeill, R.L.

1990-05-09

The purpose of this User's Guide is to show by example many of the features of Toolkit II. Some examples will be copies of screens as they appear while running the Toolkit. Other examples will show what the user should enter in various situations; in these instances, what the computer asserts will be in boldface and what the user responds will be in regular type. The User's Guide is divided into four sections. The first section, FOCUS Databases'', will give a broad overview of the Focus administrative databases that are available on the VAX; easy-to-use reports are available for mostmore » of them in the Toolkit. The second section, Getting Started'', will cover the steps necessary to log onto the Computer Center VAX cluster and how to start Focus and the Toolkit. The third section, Using the Toolkit'', will discuss some of the features in the Toolkit -- the available reports and how to access them, as well as some utilities. The fourth section, Helpful Hints'', will cover some useful facts about the VAX and Focus as well as some of the more common problems that can occur. The Toolkit is not set in concrete but is continually being revised and improved. If you have any opinions as to changes that you would like to see made to the Toolkit or new features that you would like included, please let us know. Since we do try to respond to the needs of the user and make periodic improvement to the Toolkit, this User's Guide may not correspond exactly to what is available in the computer. In general, changes are made to provide new options or features; rarely is an existing feature deleted.« less

Local Foods, Local Places Toolkit

EPA Pesticide Factsheets

Toolkit to help communities that want to use local foods to spur revitalization. The toolkit gives step-by-step instructions to help communities plan and host a workshop and create an action plan to implement.

OpenMSI Arrayed Analysis Toolkit: Analyzing Spatially Defined Samples Using Mass Spectrometry Imaging

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

de Raad, Markus; de Rond, Tristan; Rübel, Oliver

Mass spectrometry imaging (MSI) has primarily been applied in localizing biomolecules within biological matrices. Although well-suited, the application of MSI for comparing thousands of spatially defined spotted samples has been limited. One reason for this is a lack of suitable and accessible data processing tools for the analysis of large arrayed MSI sample sets. In this paper, the OpenMSI Arrayed Analysis Toolkit (OMAAT) is a software package that addresses the challenges of analyzing spatially defined samples in MSI data sets. OMAAT is written in Python and is integrated with OpenMSI (http://openmsi.nersc.gov), a platform for storing, sharing, and analyzing MSI data.more » By using a web-based python notebook (Jupyter), OMAAT is accessible to anyone without programming experience yet allows experienced users to leverage all features. OMAAT was evaluated by analyzing an MSI data set of a high-throughput glycoside hydrolase activity screen comprising 384 samples arrayed onto a NIMS surface at a 450 μm spacing, decreasing analysis time >100-fold while maintaining robust spot-finding. The utility of OMAAT was demonstrated for screening metabolic activities of different sized soil particles, including hydrolysis of sugars, revealing a pattern of size dependent activities. Finally, these results introduce OMAAT as an effective toolkit for analyzing spatially defined samples in MSI. OMAAT runs on all major operating systems, and the source code can be obtained from the following GitHub repository: https://github.com/biorack/omaat.« less

Green Infrastructure Modeling Toolkit

EPA Pesticide Factsheets

EPA's Green Infrastructure Modeling Toolkit is a toolkit of 5 EPA green infrastructure models and tools, along with communication materials, that can be used as a teaching tool and a quick reference resource when making GI implementation decisions.

BIO::Phylo-phyloinformatic analysis using perl.

PubMed

Vos, Rutger A; Caravas, Jason; Hartmann, Klaas; Jensen, Mark A; Miller, Chase

2011-02-27

Phyloinformatic analyses involve large amounts of data and metadata of complex structure. Collecting, processing, analyzing, visualizing and summarizing these data and metadata should be done in steps that can be automated and reproduced. This requires flexible, modular toolkits that can represent, manipulate and persist phylogenetic data and metadata as objects with programmable interfaces. This paper presents Bio::Phylo, a Perl5 toolkit for phyloinformatic analysis. It implements classes and methods that are compatible with the well-known BioPerl toolkit, but is independent from it (making it easy to install) and features a richer API and a data model that is better able to manage the complex relationships between different fundamental data and metadata objects in phylogenetics. It supports commonly used file formats for phylogenetic data including the novel NeXML standard, which allows rich annotations of phylogenetic data to be stored and shared. Bio::Phylo can interact with BioPerl, thereby giving access to the file formats that BioPerl supports. Many methods for data simulation, transformation and manipulation, the analysis of tree shape, and tree visualization are provided. Bio::Phylo is composed of 59 richly documented Perl5 modules. It has been deployed successfully on a variety of computer architectures (including various Linux distributions, Mac OS X versions, Windows, Cygwin and UNIX-like systems). It is available as open source (GPL) software from http://search.cpan.org/dist/Bio-Phylo.

BIO::Phylo-phyloinformatic analysis using perl

PubMed Central

2011-01-01

Background Phyloinformatic analyses involve large amounts of data and metadata of complex structure. Collecting, processing, analyzing, visualizing and summarizing these data and metadata should be done in steps that can be automated and reproduced. This requires flexible, modular toolkits that can represent, manipulate and persist phylogenetic data and metadata as objects with programmable interfaces. Results This paper presents Bio::Phylo, a Perl5 toolkit for phyloinformatic analysis. It implements classes and methods that are compatible with the well-known BioPerl toolkit, but is independent from it (making it easy to install) and features a richer API and a data model that is better able to manage the complex relationships between different fundamental data and metadata objects in phylogenetics. It supports commonly used file formats for phylogenetic data including the novel NeXML standard, which allows rich annotations of phylogenetic data to be stored and shared. Bio::Phylo can interact with BioPerl, thereby giving access to the file formats that BioPerl supports. Many methods for data simulation, transformation and manipulation, the analysis of tree shape, and tree visualization are provided. Conclusions Bio::Phylo is composed of 59 richly documented Perl5 modules. It has been deployed successfully on a variety of computer architectures (including various Linux distributions, Mac OS X versions, Windows, Cygwin and UNIX-like systems). It is available as open source (GPL) software from http://search.cpan.org/dist/Bio-Phylo PMID:21352572

Mediation Training for the Physician: Expanding the Communication Toolkit to Manage Conflict.

PubMed

Kayser, Joshua B

2015-01-01

Good communication is critical to the practice of medicine. This is particularly true when outcomes are unpredictable and/or patients lack the capacity to participate in medical decision making. Disputes may develop that cannot be addressed using basic communication skills. Conflict of this nature can burden patients, families, and medical staff and may result in increased suffering for all parties. Many physicians lack the necessary communication tools to handle difficult conversations. Training in bioethics mediation provides physicians with skills that can promote healing by empowering participants to engage in effective discourse and break down barriers to find common ground. Mediation training for physicians can expand their capacity to connect with patients and enhance their ability to identify potential conflict early on, in order to collaborate more effectively. Competency in the processes of negotiation and conflict resolution should therefore be seen as essential elements of medical training. Copyright 2015 The Journal of Clinical Ethics. All rights reserved.

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis :

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

Adams, Brian M.; Ebeida, Mohamed Salah; Eldred, Michael S.

The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a exible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quanti cation with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components requiredmore » for iterative systems analyses, the Dakota toolkit provides a exible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the Dakota software and provides capability overviews and procedures for software execution, as well as a variety of example studies.« less

Falling Less in Kansas: Development of a Fall Risk Reduction Toolkit

PubMed Central

Radebaugh, Teresa S.; Bahner, Candace A.; Ballard-Reisch, Deborah; Epp, Michael; Hale, LaDonna S.; Hanley, Rich; Kendrick, Karen; Rogers, Michael E.; Rogers, Nicole L.

2011-01-01

Falls are a serious health risk for older adults. But for those living in rural and frontier areas of the USA, the risks are higher because of limited access to health care providers and resources. This study employed a community-based participatory research approach to develop a fall prevention toolkit to be used by residents of rural and frontier areas without the assistance of health care providers. Qualitative data were gathered from both key informant interviews and focus groups with a broad range of participants. Data analysis revealed that to be effective and accepted, the toolkit should be not only evidence based but also practical, low-cost, self-explanatory, and usable without the assistance of a health care provider. Materials must be engaging, visually interesting, empowering, sensitive to reading level, and appropriate for low-vision users. These findings should be useful to other researchers developing education and awareness materials for older adults in rural areas. PMID:21941655

College Women's Health

MedlinePlus

... the College Women's Social Media Kit! College Women's Social Media Toolkit Use the Social Media Toolkit to share health tips with your campus ... toolkit includes resources for young women including sample social media messages, flyers and blogs posts. NEW Social Media ...

Every Place Counts Leadership Academy transportation toolkit

DOT National Transportation Integrated Search

2016-12-01

The Transportation Toolkit is meant to explain the transportation process to members of the public with no prior knowledge of transportation. The Toolkit is meant to demystify transportation and help people engage in local transportation decision-mak...

Matlab based Toolkits used to Interface with Optical Design Software for NASA's James Webb Space Telescope

NASA Technical Reports Server (NTRS)

Howard, Joseph

2007-01-01

The viewgraph presentation provides an introduction to the James Webb Space Telescope (JWST). The first part provides a brief overview of Matlab toolkits including CodeV, OSLO, and Zemax Toolkits. The toolkit overview examines purpose, layout, how Matlab gets data from CodeV, function layout, and using cvHELP. The second part provides examples of use with JWST, including wavefront sensitivities and alignment simulations.

Training Software in Artificial-Intelligence Computing Techniques

NASA Technical Reports Server (NTRS)

Howard, Ayanna; Rogstad, Eric; Chalfant, Eugene

2005-01-01

The Artificial Intelligence (AI) Toolkit is a computer program for training scientists, engineers, and university students in three soft-computing techniques (fuzzy logic, neural networks, and genetic algorithms) used in artificial-intelligence applications. The program promotes an easily understandable tutorial interface, including an interactive graphical component through which the user can gain hands-on experience in soft-computing techniques applied to realistic example problems. The tutorial provides step-by-step instructions on the workings of soft-computing technology, whereas the hands-on examples allow interaction and reinforcement of the techniques explained throughout the tutorial. In the fuzzy-logic example, a user can interact with a robot and an obstacle course to verify how fuzzy logic is used to command a rover traverse from an arbitrary start to the goal location. For the genetic algorithm example, the problem is to determine the minimum-length path for visiting a user-chosen set of planets in the solar system. For the neural-network example, the problem is to decide, on the basis of input data on physical characteristics, whether a person is a man, woman, or child. The AI Toolkit is compatible with the Windows 95,98, ME, NT 4.0, 2000, and XP operating systems. A computer having a processor speed of at least 300 MHz, and random-access memory of at least 56MB is recommended for optimal performance. The program can be run on a slower computer having less memory, but some functions may not be executed properly.

Assessing Chinese coach drivers' fitness to drive: The development of a toolkit based on cognition measurements.

PubMed

Wang, Huarong; Mo, Xian; Wang, Ying; Liu, Ruixue; Qiu, Peiyu; Dai, Jiajun

2016-10-01

Road traffic accidents resulting in group deaths and injuries are often related to coach drivers' inappropriate operations and behaviors. Thus, the evaluation of coach drivers' fitness to drive is an important measure for improving the safety of public transportation. Previous related research focused on drivers' age and health condition. Comprehensive studies about commercial drivers' cognitive capacities are limited. This study developed a toolkit consisting of nine cognition measurements across driver perception/sensation, attention, and reaction. A total of 1413 licensed coach drivers in Jiangsu Province, China were investigated and tested. Results indicated that drivers with accident history within three years performed overwhelmingly worse (p<0.001) on dark adaptation, dynamic visual acuity, depth perception, attention concentration, attention span, and significantly worse (p<0.05) on reaction to complex tasks compared with drivers with clear accident records. These findings supported that in the assessment of fitness to drive, cognitive capacities are sensitive to the detection of drivers with accident proneness. We first developed a simple evaluation model based on the percentile distribution of all single measurements, which defined the normal range of "fit-to-drive" by eliminating a 5% tail of each measurement. A comprehensive evaluation model was later constructed based on the kernel principal component analysis, in which the eliminated 5% tail was calculated from on integrated index. Methods to categorizing qualified, good, and excellent coach drivers and criteria for evaluating and training Chinese coach drivers' fitness to drive were also proposed. Copyright © 2015 Elsevier Ltd. All rights reserved.

Practitioner and communities' awareness of CALFB: Child abuse linked to faith or belief.

PubMed

Oakley, Lisa; Kinmond, Kathryn; Humphreys, Justin; Dioum, Mor

2017-10-01

This paper reports the results of an online survey which aimed to explore practitioners' and faith community groups' awareness and understanding of child abuse linked to faith or belief (CALFB) and to identify their further training needs in this area. The survey was founded in the work of the National working group for CALFB; a multi-agency response group committed to raising knowledge and awareness of this form of child abuse. Despite the relatively small number of recorded cases, CALFB continues to be a matter of concern to professionals and faith communities in the UK and beyond. One thousand three hundred and sixty two respondents comprising of frontline practitioners, faith and community group members completed the survey. A mixed-method analysis of the survey data illustrates a wide-ranging understanding of the term CALFB and disagreement about whether this is a specific form of child abuse. The results also indicate a relationship between confidence levels in identifying and responding to CALFB and specific training in this area. There is a call for specialised training to be more readily available. Further work is needed to develop a toolkit, which identifies indicators of CALFB and effective response pathways together with research across communities. The current research is timely and important in providing a foundation on which to build more effective identification of cases, policy and intervention. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Seismic Tool-Kit (STK): an open source software for seismology and signal processing.

NASA Astrophysics Data System (ADS)

Reymond, Dominique

2016-04-01

We present an open source software project (GNU public license), named STK: Seismic ToolKit, that is dedicated mainly for seismology and signal processing. The STK project that started in 2007, is hosted by SourceForge.net, and count more than 19 500 downloads at the date of writing. The STK project is composed of two main branches: First, a graphical interface dedicated to signal processing (in the SAC format (SAC_ASCII and SAC_BIN): where the signal can be plotted, zoomed, filtered, integrated, derivated, ... etc. (a large variety of IFR and FIR filter is proposed). The estimation of spectral density of the signal are performed via the Fourier transform, with visualization of the Power Spectral Density (PSD) in linear or log scale, and also the evolutive time-frequency representation (or sonagram). The 3-components signals can be also processed for estimating their polarization properties, either for a given window, or either for evolutive windows along the time. This polarization analysis is useful for extracting the polarized noises, differentiating P waves, Rayleigh waves, Love waves, ... etc. Secondly, a panel of Utilities-Program are proposed for working in a terminal mode, with basic programs for computing azimuth and distance in spherical geometry, inter/auto-correlation, spectral density, time-frequency for an entire directory of signals, focal planes, and main components axis, radiation pattern of P waves, Polarization analysis of different waves (including noize), under/over-sampling the signals, cubic-spline smoothing, and linear/non linear regression analysis of data set. A MINimum library of Linear AlGebra (MIN-LINAG) is also provided for computing the main matrix process like: QR/QL decomposition, Cholesky solve of linear system, finding eigen value/eigen vectors, QR-solve/Eigen-solve of linear equations systems ... etc. STK is developed in C/C++, mainly under Linux OS, and it has been also partially implemented under MS-Windows. Usefull links: http://sourceforge.net/projects/seismic-toolkit/ http://sourceforge.net/p/seismic-toolkit/wiki/browse_pages/

Rural Aging

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... to the Centers for Disease Control and Prevention report, The State of Aging and Health in America ...

A flooding induced station blackout analysis for a pressurized water reactor using the RISMC toolkit

DOE PAGES

Mandelli, Diego; Prescott, Steven; Smith, Curtis; ...

2015-05-17

In this paper we evaluate the impact of a power uprate on a pressurized water reactor (PWR) for a tsunami-induced flooding test case. This analysis is performed using the RISMC toolkit: the RELAP-7 and RAVEN codes. RELAP-7 is the new generation of system analysis codes that is responsible for simulating the thermal-hydraulic dynamics of PWR and boiling water reactor systems. RAVEN has two capabilities: to act as a controller of the RELAP-7 simulation (e.g., component/system activation) and to perform statistical analyses. In our case, the simulation of the flooding is performed by using an advanced smooth particle hydrodynamics code calledmore » NEUTRINO. The obtained results allow the user to investigate and quantify the impact of timing and sequencing of events on system safety. The impact of power uprate is determined in terms of both core damage probability and safety margins.« less

BamTools: a C++ API and toolkit for analyzing and managing BAM files.

PubMed

Barnett, Derek W; Garrison, Erik K; Quinlan, Aaron R; Strömberg, Michael P; Marth, Gabor T

2011-06-15

Analysis of genomic sequencing data requires efficient, easy-to-use access to alignment results and flexible data management tools (e.g. filtering, merging, sorting, etc.). However, the enormous amount of data produced by current sequencing technologies is typically stored in compressed, binary formats that are not easily handled by the text-based parsers commonly used in bioinformatics research. We introduce a software suite for programmers and end users that facilitates research analysis and data management using BAM files. BamTools provides both the first C++ API publicly available for BAM file support as well as a command-line toolkit. BamTools was written in C++, and is supported on Linux, Mac OSX and MS Windows. Source code and documentation are freely available at http://github.org/pezmaster31/bamtools.

MONTE: the next generation of mission design and navigation software

NASA Astrophysics Data System (ADS)

Evans, Scott; Taber, William; Drain, Theodore; Smith, Jonathon; Wu, Hsi-Cheng; Guevara, Michelle; Sunseri, Richard; Evans, James

2018-03-01

The Mission analysis, Operations and Navigation Toolkit Environment (MONTE) (Sunseri et al. in NASA Tech Briefs 36(9), 2012) is an astrodynamic toolkit produced by the Mission Design and Navigation Software Group at the Jet Propulsion Laboratory. It provides a single integrated environment for all phases of deep space and Earth orbiting missions. Capabilities include: trajectory optimization and analysis, operational orbit determination, flight path control, and 2D/3D visualization. MONTE is presented to the user as an importable Python language module. This allows a simple but powerful user interface via CLUI or script. In addition, the Python interface allows MONTE to be used seamlessly with other canonical scientific programming tools such as SciPy, NumPy, and Matplotlib. MONTE is the prime operational orbit determination software for all JPL navigated missions.

An economic toolkit for identifying the cost of emergency medical services (EMS) systems: detailed methodology of the EMS Cost Analysis Project (EMSCAP).

PubMed

Lerner, E Brooke; Garrison, Herbert G; Nichol, Graham; Maio, Ronald F; Lookman, Hunaid A; Sheahan, William D; Franz, Timothy R; Austad, James D; Ginster, Aaron M; Spaite, Daniel W

2012-02-01

Calculating the cost of an emergency medical services (EMS) system using a standardized method is important for determining the value of EMS. This article describes the development of a methodology for calculating the cost of an EMS system to its community. This includes a tool for calculating the cost of EMS (the "cost workbook") and detailed directions for determining cost (the "cost guide"). The 12-step process that was developed is consistent with current theories of health economics, applicable to prehospital care, flexible enough to be used in varying sizes and types of EMS systems, and comprehensive enough to provide meaningful conclusions. It was developed by an expert panel (the EMS Cost Analysis Project [EMSCAP] investigator team) in an iterative process that included pilot testing the process in three diverse communities. The iterative process allowed ongoing modification of the toolkit during the development phase, based upon direct, practical, ongoing interaction with the EMS systems that were using the toolkit. The resulting methodology estimates EMS system costs within a user-defined community, allowing either the number of patients treated or the estimated number of lives saved by EMS to be assessed in light of the cost of those efforts. Much controversy exists about the cost of EMS and whether the resources spent for this purpose are justified. However, the existence of a validated toolkit that provides a standardized process will allow meaningful assessments and comparisons to be made and will supply objective information to inform EMS and community officials who are tasked with determining the utilization of scarce societal resources. © 2012 by the Society for Academic Emergency Medicine.

The UK Earth System Models Marine Biogeochemical Evaluation Toolkit, BGC-val

NASA Astrophysics Data System (ADS)

de Mora, Lee

2017-04-01

The Biogeochemical Validation toolkit, BGC-val, is a model and grid independent python-based marine model evaluation framework that automates much of the validation of the marine component of an Earth System Model. BGC-val was initially developed to be a flexible and extensible system to evaluate the spin up of the marine UK Earth System Model (UKESM). However, the grid-independence and flexibility means that it is straightforward to adapt the BGC-val framework to evaluate other marine models. In addition to the marine component of the UKESM, this toolkit has been adapted to compare multiple models, including models from the CMIP5 and iMarNet inter-comparison projects. The BGC-val toolkit produces multiple levels of analysis which are presented in a simple to use interactive html5 document. Level 1 contains time series analyses, showing the development over time of many important biogeochemical and physical ocean metrics, such as the Global primary production or the Drake passage current. The second level of BGC-val is an in-depth spatial analyses of a single point in time. This is a series of point to point comparison of model and data in various regions, such as a comparison of Surface Nitrate in the model vs data from the world ocean atlas. The third level analyses are specialised ad-hoc packages to go in-depth on a specific question, such as the development of Oxygen minimum zones in the Equatorial Pacific. In additional to the three levels, the html5 document opens with a Level 0 table showing a summary of the status of the model run. The beta version of this toolkit is available via the Plymouth Marine Laboratory Gitlab server and uses the BSD 3 clause license.

Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods

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

Zhang, Jie; Draxl, Caroline; Hopson, Thomas

Numerical weather prediction (NWP) models have been widely used for wind resource assessment. Model runs with higher spatial resolution are generally more accurate, yet extremely computational expensive. An alternative approach is to use data generated by a low resolution NWP model, in conjunction with statistical methods. In order to analyze the accuracy and computational efficiency of different types of NWP-based wind resource assessment methods, this paper performs a comparison of three deterministic and probabilistic NWP-based wind resource assessment methodologies: (i) a coarse resolution (0.5 degrees x 0.67 degrees) global reanalysis data set, the Modern-Era Retrospective Analysis for Research and Applicationsmore » (MERRA); (ii) an analog ensemble methodology based on the MERRA, which provides both deterministic and probabilistic predictions; and (iii) a fine resolution (2-km) NWP data set, the Wind Integration National Dataset (WIND) Toolkit, based on the Weather Research and Forecasting model. Results show that: (i) as expected, the analog ensemble and WIND Toolkit perform significantly better than MERRA confirming their ability to downscale coarse estimates; (ii) the analog ensemble provides the best estimate of the multi-year wind distribution at seven of the nine sites, while the WIND Toolkit is the best at one site; (iii) the WIND Toolkit is more accurate in estimating the distribution of hourly wind speed differences, which characterizes the wind variability, at five of the available sites, with the analog ensemble being best at the remaining four locations; and (iv) the analog ensemble computational cost is negligible, whereas the WIND Toolkit requires large computational resources. Future efforts could focus on the combination of the analog ensemble with intermediate resolution (e.g., 10-15 km) NWP estimates, to considerably reduce the computational burden, while providing accurate deterministic estimates and reliable probabilistic assessments.« less

A Toolkit to Study Sensitivity of the Geant4 Predictions to the Variations of the Physics Model Parameters

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

Fields, Laura; Genser, Krzysztof; Hatcher, Robert

Geant4 is the leading detector simulation toolkit used in high energy physics to design detectors and to optimize calibration and reconstruction software. It employs a set of carefully validated physics models to simulate interactions of particles with matter across a wide range of interaction energies. These models, especially the hadronic ones, rely largely on directly measured cross-sections and phenomenological predictions with physically motivated parameters estimated by theoretical calculation or measurement. Because these models are tuned to cover a very wide range of possible simulation tasks, they may not always be optimized for a given process or a given material. Thismore » raises several critical questions, e.g. how sensitive Geant4 predictions are to the variations of the model parameters, or what uncertainties are associated with a particular tune of a Geant4 physics model, or a group of models, or how to consistently derive guidance for Geant4 model development and improvement from a wide range of available experimental data. We have designed and implemented a comprehensive, modular, user-friendly software toolkit to study and address such questions. It allows one to easily modify parameters of one or several Geant4 physics models involved in the simulation, and to perform collective analysis of multiple variants of the resulting physics observables of interest and comparison against a variety of corresponding experimental data. Based on modern event-processing infrastructure software, the toolkit offers a variety of attractive features, e.g. flexible run-time configurable workflow, comprehensive bookkeeping, easy to expand collection of analytical components. Design, implementation technology, and key functionalities of the toolkit are presented and illustrated with results obtained with Geant4 key hadronic models.« less

Advanced processing and simulation of MRS data using the FID appliance (FID-A)-An open source, MATLAB-based toolkit.

PubMed

Simpson, Robin; Devenyi, Gabriel A; Jezzard, Peter; Hennessy, T Jay; Near, Jamie

2017-01-01

To introduce a new toolkit for simulation and processing of magnetic resonance spectroscopy (MRS) data, and to demonstrate some of its novel features. The FID appliance (FID-A) is an open-source, MATLAB-based software toolkit for simulation and processing of MRS data. The software is designed specifically for processing data with multiple dimensions (eg, multiple radiofrequency channels, averages, spectral editing dimensions). It is equipped with functions for importing data in the formats of most major MRI vendors (eg, Siemens, Philips, GE, Agilent) and for exporting data into the formats of several common processing software packages (eg, LCModel, jMRUI, Tarquin). This paper introduces the FID-A software toolkit and uses examples to demonstrate its novel features, namely 1) the use of a spectral registration algorithm to carry out useful processing routines automatically, 2) automatic detection and removal of motion-corrupted scans, and 3) the ability to perform several major aspects of the MRS computational workflow from a single piece of software. This latter feature is illustrated through both high-level processing of in vivo GABA-edited MEGA-PRESS MRS data, as well as detailed quantum mechanical simulations to generate an accurate LCModel basis set for analysis of the same data. All of the described processing steps resulted in a marked improvement in spectral quality compared with unprocessed data. Fitting of MEGA-PRESS data using a customized basis set resulted in improved fitting accuracy compared with a generic MEGA-PRESS basis set. The FID-A software toolkit enables high-level processing of MRS data and accurate simulation of in vivo MRS experiments. Magn Reson Med 77:23-33, 2017. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

A feasibility study of dementia communication training based on the VERA framework for pre-registration nurses: Part II impact on student experience.

PubMed

Naughton, Corina; Beard, Chloe; Tzouvara, Vasiliki; Pegram, Anne; Verity, Rebecca; Eley, Rhiannon; Hingley, David

2018-04-01

People living with dementia have complex communication needs, especially during acute hospital admissions. The VERA framework (validation, emotion, reassurance, activity) was designed to promote person centred communication between student nurses and people living with dementia, but there is limited evaluation of its impact. To measure the impact of dementia communication training (based on VERA) plus older adult unit (OAU) placement on students' ability to recognise opportunities for person centred (PC) communication compared to OAU placement alone. A control pre-post-study design was used. Dementia communication training plus follow-up during OAU placement was delivered to 51 students (5 OAU, two hospitals) while 66 students (7 OAUs, five hospitals) acted as controls. The primary outcome was students' ability to recognise PC communication assessed using case vignettes. Data were collected using electronic survey and focus group interviews. Data analysis used independent non-parametric Mann-Whitney U test and thematic analysis. In total 52 students (response rate 40%) completed surveys at the end of placements (38 intervention, 14 control group students). In the intervention group, participants were significantly more likely to identify PC responses with a mean score of 10.5 (SD 3.0) compared with 7.5 (SD 3.0) in the control group (p = 0.006). In focus group interviews (n = 19 students), the main themes were connecting with patients, VERA in practice, communication challenges, and learning environment. VERA was described as a flexible approach that added to participants' communication toolkit. The learning environment, complexity of patients and organisational resources were important contextual factors. The VERA framework has potential as a foundation level dementia communication training intervention, but it requires more rigorous testing. Nursing can lead the way in developing and embedding evidence-based, interdisciplinary dementia communication training in preregistration curricula. Copyright © 2018 Elsevier Ltd. All rights reserved.

Content Analysis in Systems Engineering Acquisition Activities

DTIC Science & Technology

2016-04-30

Acquisition Activities Karen Holness, Assistant Professor, NPS Update on the Department of the Navy Systems Engineering Career Competency Model Clifford...systems engineering toolkit . Having a common analysis tool that is easy to use would support the feedback of observed system performance trends from the

Enhancing Care of Aged and Dying Prisoners: Is e-Learning a Feasible Approach?

PubMed

Loeb, Susan J; Penrod, Janice; Myers, Valerie H; Baney, Brenda L; Strickfaden, Sophia M; Kitt-Lewis, Erin; Wion, Rachel K

Prisons and jails are facing sharply increased demands in caring for aged and dying inmates. Our Toolkit for Enhancing End-of-life Care in Prisons effectively addressed end-of-life (EOL) care; however, geriatric content was limited, and the product was not formatted for broad dissemination. Prior research adapted best practices in EOL care and aging; but, delivery methods lacked emerging technology-focused learning and interactivity. Our purposes were to uncover current training approaches and preferences and to ascertain the technological capacity of correctional settings to deliver computer-based and other e-learning training. An environmental scan was conducted with 11 participants from U.S. prisons and jails to ensure proper fit, in terms of content and technology capacity, between an envisioned computer-based training product and correctional settings. Environmental scan findings focused on content of training, desirable qualities of training, prominence of "homegrown" products, and feasibility of commercial e-learning. This study identified qualities of training programs to adopt and pitfalls to avoid and revealed technology-related issues to be mindful of when designing computer-based training for correctional settings, and participants spontaneously expressed an interest in geriatrics and EOL training using this learning modality as long as training allowed for tailoring of materials.

A graphical user interface (GUI) toolkit for the calculation of three-dimensional (3D) multi-phase biological effective dose (BED) distributions including statistical analyses.

PubMed

Kauweloa, Kevin I; Gutierrez, Alonso N; Stathakis, Sotirios; Papanikolaou, Niko; Mavroidis, Panayiotis

2016-07-01

A toolkit has been developed for calculating the 3-dimensional biological effective dose (BED) distributions in multi-phase, external beam radiotherapy treatments such as those applied in liver stereotactic body radiation therapy (SBRT) and in multi-prescription treatments. This toolkit also provides a wide range of statistical results related to dose and BED distributions. MATLAB 2010a, version 7.10 was used to create this GUI toolkit. The input data consist of the dose distribution matrices, organ contour coordinates, and treatment planning parameters from the treatment planning system (TPS). The toolkit has the capability of calculating the multi-phase BED distributions using different formulas (denoted as true and approximate). Following the calculations of the BED distributions, the dose and BED distributions can be viewed in different projections (e.g. coronal, sagittal and transverse). The different elements of this toolkit are presented and the important steps for the execution of its calculations are illustrated. The toolkit is applied on brain, head & neck and prostate cancer patients, who received primary and boost phases in order to demonstrate its capability in calculating BED distributions, as well as measuring the inaccuracy and imprecision of the approximate BED distributions. Finally, the clinical situations in which the use of the present toolkit would have a significant clinical impact are indicated. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Rural Health Disparities

MedlinePlus

... for Success Am I Rural? Evidence-based Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning ... for health disparities include geographic isolation, lower socio-economic status, higher rates of health risk behaviors, and ...

Rural Mental Health

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... Mental Health Professional Shortage in the United States reports that higher levels of unmet need for mental ...

The Comprehension Toolkit

ERIC Educational Resources Information Center

Harvey, Stephanie; Goudvis, Anne

2005-01-01

"The Comprehension Toolkit" focuses on reading, writing, talking, listening, and investigating, to deepen understanding of nonfiction texts. With a focus on strategic thinking, this toolkit's lessons provide a foundation for developing independent readers and learners. It also provides an alternative to the traditional assign and correct…

MITK-based segmentation of co-registered MRI for subject-related regional anesthesia simulation

NASA Astrophysics Data System (ADS)

Teich, Christian; Liao, Wei; Ullrich, Sebastian; Kuhlen, Torsten; Ntouba, Alexandre; Rossaint, Rolf; Ullisch, Marcus; Deserno, Thomas M.

2008-03-01

With a steadily increasing indication, regional anesthesia is still trained directly on the patient. To develop a virtual reality (VR)-based simulation, a patient model is needed containing several tissues, which have to be extracted from individual magnet resonance imaging (MRI) volume datasets. Due to the given modality and the different characteristics of the single tissues, an adequate segmentation can only be achieved by using a combination of segmentation algorithms. In this paper, we present a framework for creating an individual model from MRI scans of the patient. Our work splits in two parts. At first, an easy-to-use and extensible tool for handling the segmentation task on arbitrary datasets is provided. The key idea is to let the user create a segmentation for the given subject by running different processing steps in a purposive order and store them in a segmentation script for reuse on new datasets. For data handling and visualization, we utilize the Medical Imaging Interaction Toolkit (MITK), which is based on the Visualization Toolkit (VTK) and the Insight Segmentation and Registration Toolkit (ITK). The second part is to find suitable segmentation algorithms and respectively parameters for differentiating the tissues required by the RA simulation. For this purpose, a fuzzy c-means clustering algorithm combined with mathematical morphology operators and a geometric active contour-based approach is chosen. The segmentation process itself aims at operating with minimal user interaction, and the gained model fits the requirements of the simulation. First results are shown for both, male and female MRI of the pelvis.

JAVA Stereo Display Toolkit

NASA Technical Reports Server (NTRS)

Edmonds, Karina

2008-01-01

This toolkit provides a common interface for displaying graphical user interface (GUI) components in stereo using either specialized stereo display hardware (e.g., liquid crystal shutter or polarized glasses) or anaglyph display (red/blue glasses) on standard workstation displays. An application using this toolkit will work without modification in either environment, allowing stereo software to reach a wider audience without sacrificing high-quality display on dedicated hardware. The toolkit is written in Java for use with the Swing GUI Toolkit and has cross-platform compatibility. It hooks into the graphics system, allowing any standard Swing component to be displayed in stereo. It uses the OpenGL graphics library to control the stereo hardware and to perform the rendering. It also supports anaglyph and special stereo hardware using the same API (application-program interface), and has the ability to simulate color stereo in anaglyph mode by combining the red band of the left image with the green/blue bands of the right image. This is a low-level toolkit that accomplishes simply the display of components (including the JadeDisplay image display component). It does not include higher-level functions such as disparity adjustment, 3D cursor, or overlays all of which can be built using this toolkit.

Economic evaluation of the Good School Toolkit: an intervention for reducing violence in primary schools in Uganda

PubMed Central

Knight, Louise; Ssekadde, Willington; Namy, Sophie; Naker, Dipak; Devries, Karen

2018-01-01

Introduction This paper presents the cost and cost-effectiveness of the Good School Toolkit (GST), a programme aimed at reducing physical violence perpetrated by school staff to students in Uganda. Methods The effectiveness of the Toolkit was tested with a cluster randomised controlled trial in 42 primary schools in Luwero District, Uganda. A full economic costing evaluation and cost-effectiveness analysis were conducted alongside the trial. Both financial and economic costs were collected retrospectively from the provider’s perspective to estimate total and unit costs. Results The total cost of setting up and running the Toolkit over the 18-month trial period is estimated at US$397 233, excluding process monitor (M&E) activities. The cost to run the intervention is US$7429 per school annually, or US$15 per primary school pupil annually, in the trial intervention schools. It is estimated that the intervention has averted 1620 cases of past-week physical violence during the 18-month implementation period. The total cost per case of violence averted is US$244, and the annual implementation cost is US$96 per case averted during the trial. Conclusions The GST is a cost-effective intervention for reducing violence against pupils in primary schools in Uganda. It compares favourably against other violence reduction interventions in the region. PMID:29707243

Medicaid and Rural Health

MedlinePlus

... for Success Am I Rural? Evidence-based Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning ... the past several years due to both the economic recession of 2008 as well as the implementation ...

Rural People with Disabilities

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... problems Accessible treatment and diagnostic equipment A 2017 report from the Centers for Medicare and Medicaid Services ( ...

Rural Health Clinics (RHCs)

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... of the certification process is the RHC Cost Report. Once a clinic has received its Medicare Provider ...

Hydropower Regulatory and Permitting Information Desktop (RAPID) Toolkit

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

Levine, Aaron L

Hydropower Regulatory and Permitting Information Desktop (RAPID) Toolkit presentation from the WPTO FY14-FY16 Peer Review. The toolkit is aimed at regulatory agencies, consultants, project developers, the public, and any other party interested in learning more about the hydropower regulatory process.

Student Success Center Toolkit

ERIC Educational Resources Information Center

Jobs For the Future, 2014

2014-01-01

"Student Success Center Toolkit" is a compilation of materials organized to assist Student Success Center directors as they staff, launch, operate, and sustain Centers. The toolkit features materials created and used by existing Centers, such as staffing and budgeting templates, launch materials, sample meeting agendas, and fundraising…

Veterinary Immunology Committee Toolkit Workshop 2010: Progress and plans

USDA-ARS?s Scientific Manuscript database

The Third Veterinary Immunology Committee (VIC) Toolkit Workshop took place at the Ninth International Veterinary Immunology Symposium (IVIS) in Tokyo, Japan on August 18, 2020. The Workshop built on previous Toolkit Workshops and covered various aspects of reagent development, commercialisation an...

77 FR 73023 - U.S. Environmental Solutions Toolkit

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-07

... foreign end-users of environmental technologies that will outline U.S. approaches to a series of environmental problems and highlight participating U.S. vendors of relevant U.S. technologies. The Toolkit will... DEPARTMENT OF COMMERCE International Trade Administration U.S. Environmental Solutions Toolkit...

SHRP2 EconWorks : wider economic benefits analysis tools : final report.

DOT National Transportation Integrated Search

2016-01-01

CDM Smith has completed an evaluation of the EconWorks Wider Economic Benefits (W.E.B.) : Analysis Tools for Connecticut Department of Transportation (CTDOT). The intent of this : evaluation was to compare the results of the outputs of this toolkit t...

Single-Cell RNA Sequencing of the Bronchial Epithelium in Smokers with Lung Cancer

DTIC Science & Technology

2017-07-01

and to discuss library preparations protocols and data analysis techniques. The goal is to develop a single cell sequencing analysis toolkit . In...Research Support LUNGevity Career Development Award What other organizations were involved as partners? Organization Name: Broad Institute 19

Industry Application ECCS / LOCA Integrated Cladding/Emergency Core Cooling System Performance: Demonstration of LOTUS-Baseline Coupled Analysis of the South Texas Plant Model

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

Zhang, Hongbin; Szilard, Ronaldo; Epiney, Aaron

Under the auspices of the DOE LWRS Program RISMC Industry Application ECCS/LOCA, INL has engaged staff from both South Texas Project (STP) and the Texas A&M University (TAMU) to produce a generic pressurized water reactor (PWR) model including reactor core, clad/fuel design and systems thermal hydraulics based on the South Texas Project (STP) nuclear power plant, a 4-Loop Westinghouse PWR. A RISMC toolkit, named LOCA Toolkit for the U.S. (LOTUS), has been developed for use in this generic PWR plant model to assess safety margins for the proposed NRC 10 CFR 50.46c rule, Emergency Core Cooling System (ECCS) performance duringmore » LOCA. This demonstration includes coupled analysis of core design, fuel design, thermalhydraulics and systems analysis, using advanced risk analysis tools and methods to investigate a wide range of results. Within this context, a multi-physics best estimate plus uncertainty (MPBEPU) methodology framework is proposed.« less

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.

PubMed

Yaniv, Ziv; Lowekamp, Bradley C; Johnson, Hans J; Beare, Richard

2018-06-01

Modern scientific endeavors increasingly require team collaborations to construct and interpret complex computational workflows. This work describes an image-analysis environment that supports the use of computational tools that facilitate reproducible research and support scientists with varying levels of software development skills. The Jupyter notebook web application is the basis of an environment that enables flexible, well-documented, and reproducible workflows via literate programming. Image-analysis software development is made accessible to scientists with varying levels of programming experience via the use of the SimpleITK toolkit, a simplified interface to the Insight Segmentation and Registration Toolkit. Additional features of the development environment include user friendly data sharing using online data repositories and a testing framework that facilitates code maintenance. SimpleITK provides a large number of examples illustrating educational and research-oriented image analysis workflows for free download from GitHub under an Apache 2.0 license: github.com/InsightSoftwareConsortium/SimpleITK-Notebooks .

Atlas Toolkit: Fast registration of 3D morphological datasets in the absence of landmarks

PubMed Central

Grocott, Timothy; Thomas, Paul; Münsterberg, Andrea E.

2016-01-01

Image registration is a gateway technology for Developmental Systems Biology, enabling computational analysis of related datasets within a shared coordinate system. Many registration tools rely on landmarks to ensure that datasets are correctly aligned; yet suitable landmarks are not present in many datasets. Atlas Toolkit is a Fiji/ImageJ plugin collection offering elastic group-wise registration of 3D morphological datasets, guided by segmentation of the interesting morphology. We demonstrate the method by combinatorial mapping of cell signalling events in the developing eyes of chick embryos, and use the integrated datasets to predictively enumerate Gene Regulatory Network states. PMID:26864723

Atlas Toolkit: Fast registration of 3D morphological datasets in the absence of landmarks.

PubMed

Grocott, Timothy; Thomas, Paul; Münsterberg, Andrea E

2016-02-11

Image registration is a gateway technology for Developmental Systems Biology, enabling computational analysis of related datasets within a shared coordinate system. Many registration tools rely on landmarks to ensure that datasets are correctly aligned; yet suitable landmarks are not present in many datasets. Atlas Toolkit is a Fiji/ImageJ plugin collection offering elastic group-wise registration of 3D morphological datasets, guided by segmentation of the interesting morphology. We demonstrate the method by combinatorial mapping of cell signalling events in the developing eyes of chick embryos, and use the integrated datasets to predictively enumerate Gene Regulatory Network states.

Toolkit of Available EPA Green Infrastructure Modeling Software. National Stormwater Calculator

EPA Science Inventory

This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementat...

Teacher Quality Toolkit

ERIC Educational Resources Information Center

Lauer, Patricia A.; Dean, Ceri B.

2004-01-01

This Teacher Quality Toolkit aims to support the continuum of teacher learning by providing tools that institutions of higher education, districts, and schools can use to improve both preservice and inservice teacher education. The toolkit incorporates McREL?s accumulated knowledge and experience related to teacher quality and standards-based…

77 FR 73022 - U.S. Environmental Solutions Toolkit

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-07

... Commerce continues to develop the web- based U.S. Environmental Solutions Toolkit to be used by foreign environmental officials and foreign end-users of environmental technologies that will outline U.S. approaches to... DEPARTMENT OF COMMERCE International Trade Administration U.S. Environmental Solutions Toolkit...

Cinfony – combining Open Source cheminformatics toolkits behind a common interface

PubMed Central

O'Boyle, Noel M; Hutchison, Geoffrey R

2008-01-01

Background Open Source cheminformatics toolkits such as OpenBabel, the CDK and the RDKit share the same core functionality but support different sets of file formats and forcefields, and calculate different fingerprints and descriptors. Despite their complementary features, using these toolkits in the same program is difficult as they are implemented in different languages (C++ versus Java), have different underlying chemical models and have different application programming interfaces (APIs). Results We describe Cinfony, a Python module that presents a common interface to all three of these toolkits, allowing the user to easily combine methods and results from any of the toolkits. In general, the run time of the Cinfony modules is almost as fast as accessing the underlying toolkits directly from C++ or Java, but Cinfony makes it much easier to carry out common tasks in cheminformatics such as reading file formats and calculating descriptors. Conclusion By providing a simplified interface and improving interoperability, Cinfony makes it easy to combine complementary features of OpenBabel, the CDK and the RDKit. PMID:19055766

Medicare and Rural Health

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... Beneficiaries (Chapter 5 of the June 2012 MedPAC report), there are not significant differences in the rates ...

Oral Health in Rural Communities

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... community water supplies than large ones. This paper report that it is six times more costly per ...

Free DICOM de-identification tools in clinical research: functioning and safety of patient privacy.

PubMed

Aryanto, K Y E; Oudkerk, M; van Ooijen, P M A

2015-12-01

To compare non-commercial DICOM toolkits for their de-identification ability in removing a patient's personal health information (PHI) from a DICOM header. Ten DICOM toolkits were selected for de-identification tests. Tests were performed by using the system's default de-identification profile and, subsequently, the tools' best adjusted settings. We aimed to eliminate fifty elements considered to contain identifying patient information. The tools were also examined for their respective methods of customization. Only one tool was able to de-identify all required elements with the default setting. Not all of the toolkits provide a customizable de-identification profile. Six tools allowed changes by selecting the provided profiles, giving input through a graphical user interface (GUI) or configuration text file, or providing the appropriate command-line arguments. Using adjusted settings, four of those six toolkits were able to perform full de-identification. Only five tools could properly de-identify the defined DICOM elements, and in four cases, only after careful customization. Therefore, free DICOM toolkits should be used with extreme care to prevent the risk of disclosing PHI, especially when using the default configuration. In case optimal security is required, one of the five toolkits is proposed. • Free DICOM toolkits should be carefully used to prevent patient identity disclosure. • Each DICOM tool produces its own specific outcomes from the de-identification process. • In case optimal security is required, using one DICOM toolkit is proposed.

Designing and Delivering Intensive Interventions: A Teacher's Toolkit

ERIC Educational Resources Information Center

Murray, Christy S.; Coleman, Meghan A.; Vaughn, Sharon; Wanzek, Jeanne; Roberts, Greg

2012-01-01

This toolkit provides activities and resources to assist practitioners in designing and delivering intensive interventions in reading and mathematics for K-12 students with significant learning difficulties and disabilities. Grounded in research, this toolkit is based on the Center on Instruction's "Intensive Interventions for Students Struggling…

The National Informal STEM Education Network

Science.gov Websites

Evaluation and Research Kits Explore Science: Earth & Space toolkit Building with Biology Kit Explore 2018 toolkits now available for download. Download the 2018 Digital Toolkit! Building with Biology ACTIVITY KIT Building with Biology Conversations and activities about synthetic biology; this emerging

78 FR 14773 - U.S. Environmental Solutions Toolkit-Landfill Standards

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-07

... and foreign end-users of environmental technologies that will outline U.S. approaches to a series of environmental problems and highlight participating U.S. vendors of relevant U.S. technologies. The Toolkit will... DEPARTMENT OF COMMERCE International Trade Administration U.S. Environmental Solutions Toolkit...

Violence and Abuse in Rural America

MedlinePlus

... for Success Am I Rural? Evidence-based Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning ... phone and internet, as reported in Rural Survivors & Economic Security . Advocacy and Legal Services: For all forms ...

Data-Parallel Algorithm for Contour Tree Construction

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

Sewell, Christopher Meyer; Ahrens, James Paul; Carr, Hamish

2017-01-19

The goal of this project is to develop algorithms for additional visualization and analysis filters in order to expand the functionality of the VTK-m toolkit to support less critical but commonly used operators.

Rural Emergency Medical Services (EMS) and Trauma

MedlinePlus

... Toolkits Economic Impact Analysis Tool Community Health Gateway Sustainability Planning Tools Testing New Approaches Rural Health IT ... to the 2015 WWAMI Rural Health Research Center report, Prehospital Emergency Medical Services Personnel in Rural Areas: ...

BamTools: a C++ API and toolkit for analyzing and managing BAM files

PubMed Central

Barnett, Derek W.; Garrison, Erik K.; Quinlan, Aaron R.; Strömberg, Michael P.; Marth, Gabor T.

2011-01-01

Motivation: Analysis of genomic sequencing data requires efficient, easy-to-use access to alignment results and flexible data management tools (e.g. filtering, merging, sorting, etc.). However, the enormous amount of data produced by current sequencing technologies is typically stored in compressed, binary formats that are not easily handled by the text-based parsers commonly used in bioinformatics research. Results: We introduce a software suite for programmers and end users that facilitates research analysis and data management using BAM files. BamTools provides both the first C++ API publicly available for BAM file support as well as a command-line toolkit. Availability: BamTools was written in C++, and is supported on Linux, Mac OSX and MS Windows. Source code and documentation are freely available at http://github.org/pezmaster31/bamtools. Contact: barnetde@bc.edu PMID:21493652

The Exoplanet Characterization ToolKit (ExoCTK)

NASA Astrophysics Data System (ADS)

Stevenson, Kevin; Fowler, Julia; Lewis, Nikole K.; Fraine, Jonathan; Pueyo, Laurent; Valenti, Jeff; Bruno, Giovanni; Filippazzo, Joseph; Hill, Matthew; Batalha, Natasha E.; Bushra, Rafia

2018-01-01

The success of exoplanet characterization depends critically on a patchwork of analysis tools and spectroscopic libraries that currently require extensive development and lack a centralized support system. Due to the complexity of spectroscopic analyses and initial time commitment required to become productive, there are currently a limited number of teams that are actively advancing the field. New teams with significant expertise, but without the proper tools, face prohibitively steep hills to climb before they can contribute. As a solution, we are developing an open-source, modular data analysis package in Python and a publicly facing web interface focused primarily on atmospheric characterization of exoplanets and exoplanet transit observation planning with JWST. The foundation of these software tools and libraries exist within pockets of the exoplanet community. Our project will gather these seedling tools and grow a robust, uniform, and well maintained exoplanet characterization toolkit.

78 FR 58520 - U.S. Environmental Solutions Toolkit

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-24

... notice sets forth a request for input from U.S. businesses capable of exporting their goods or services... and foreign end-users of environmental technologies The Toolkit outline U.S. approaches to a series of environmental problems and highlight participating U.S. vendors of relevant U.S. technologies. The Toolkit will...

Practitioner Data Use in Schools: Workshop Toolkit. REL 2015-043

ERIC Educational Resources Information Center

Bocala, Candice; Henry, Susan F.; Mundry, Susan; Morgan, Claire

2014-01-01

The "Practitioner Data Use in Schools: Workshop Toolkit" is designed to help practitioners systematically and accurately use data to inform their teaching practice. The toolkit includes an agenda, slide deck, participant workbook, and facilitator's guide and covers the following topics: developing data literacy, engaging in a cycle of…

Language Access Toolkit: An Organizing and Advocacy Resource for Community-Based Youth Programs

ERIC Educational Resources Information Center

Beyersdorf, Mark Ro

2013-01-01

Asian American Legal Defense and Education Fund (AALDEF) developed this language access toolkit to share the expertise and experiences of National Asian American Education Advocates Network (NAAEA) member organizations with other community organizations interested in developing language access campaigns. This toolkit includes an overview of…

FY17Q4 Ristra project: Release Version 1.0 of a production toolkit

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

Hungerford, Aimee L.; Daniel, David John

2017-09-21

The Next Generation Code project will release Version 1.0 of a production toolkit for multi-physics application development on advanced architectures. Features of this toolkit will include remap and link utilities, control and state manager, setup, visualization and I/O, as well as support for a variety of mesh and particle data representations. Numerical physics packages that operate atop this foundational toolkit will be employed in a multi-physics demonstration problem and released to the community along with results from the demonstration.

Software reuse in spacecraft planning and scheduling systems

NASA Technical Reports Server (NTRS)

Mclean, David; Tuchman, Alan; Broseghini, Todd; Yen, Wen; Page, Brenda; Johnson, Jay; Bogovich, Lynn; Burkhardt, Chris; Mcintyre, James; Klein, Scott

1993-01-01

The use of a software toolkit and development methodology that supports software reuse is described. The toolkit includes source-code-level library modules and stand-alone tools which support such tasks as data reformatting and report generation, simple relational database applications, user interfaces, tactical planning, strategic planning and documentation. The current toolkit is written in C and supports applications that run on IBM-PC's under DOS and UNlX-based workstations under OpenLook and Motif. The toolkit is fully integrated for building scheduling systems that reuse AI knowledge base technology. A typical scheduling scenario and three examples of applications that utilize the reuse toolkit will be briefly described. In addition to the tools themselves, a description of the software evolution and reuse methodology that was used is presented.

Development of an evidence-informed leisure time physical activity resource for adults with spinal cord injury: the SCI Get Fit Toolkit.

PubMed

Arbour-Nicitopoulos, K P; Martin Ginis, K A; Latimer-Cheung, A E; Bourne, C; Campbell, D; Cappe, S; Ginis, S; Hicks, A L; Pomerleau, P; Smith, K

2013-06-01

To systematically develop an evidence-informed leisure time physical activity (LTPA) resource for adults with spinal cord injury (SCI). Canada. The Appraisal of Guidelines, Research and Evaluation (AGREE) II protocol was used to develop a toolkit to teach and encourage adults with SCI how to make smart and informed choices about being physically active. A multidisciplinary expert panel appraised the evidence and generated specific recommendations for the content of the toolkit. Pilot testing was conducted to refine the toolkit's presentation. Recommendations emanating from the consultation process were that the toolkit be a brief, evidence-based resource that contains images of adults with tetraplegia and paraplegia, and links to more detailed online information. The content of the toolkit should include the physical activity guidelines (PAGs) for adults with SCI, activities tailored to manual and power chair users, the benefits of LTPA, and strategies to overcome common LTPA barriers for adults with SCI. The inclusion of action plans and safety tips was also recommended. These recommendations have resulted in the development of an evidence-informed LTPA resource to assist adults with SCI in meeting the PAGs. This toolkit will have important implications for consumers, health care professionals and policy makers for encouraging LTPA in the SCI community.

A framework for measurement and harmonization of pediatric multiple sclerosis etiologic research studies: The Pediatric MS Tool-Kit.

PubMed

Magalhaes, Sandra; Banwell, Brenda; Bar-Or, Amit; Fortier, Isabel; Hanwell, Heather E; Lim, Ming; Matt, Georg E; Neuteboom, Rinze F; O'Riordan, David L; Schneider, Paul K; Pugliatti, Maura; Shatenstein, Bryna; Tansey, Catherine M; Wassmer, Evangeline; Wolfson, Christina

2018-06-01

While studying the etiology of multiple sclerosis (MS) in children has several methodological advantages over studying etiology in adults, studies are limited by small sample sizes. Using a rigorous methodological process, we developed the Pediatric MS Tool-Kit, a measurement framework that includes a minimal set of core variables to assess etiological risk factors. We solicited input from the International Pediatric MS Study Group to select three risk factors: environmental tobacco smoke (ETS) exposure, sun exposure, and vitamin D intake. To develop the Tool-Kit, we used a Delphi study involving a working group of epidemiologists, neurologists, and content experts from North America and Europe. The Tool-Kit includes six core variables to measure ETS, six to measure sun exposure, and six to measure vitamin D intake. The Tool-Kit can be accessed online ( www.maelstrom-research.org/mica/network/tool-kit ). The goals of the Tool-Kit are to enhance exposure measurement in newly designed pediatric MS studies and comparability of results across studies, and in the longer term to facilitate harmonization of studies, a methodological approach that can be used to circumvent issues of small sample sizes. We believe the Tool-Kit will prove to be a valuable resource to guide pediatric MS researchers in developing study-specific questionnaire.

Implementation of the Good School Toolkit in Uganda: a quantitative process evaluation of a successful violence prevention program.

PubMed

Knight, Louise; Allen, Elizabeth; Mirembe, Angel; Nakuti, Janet; Namy, Sophie; Child, Jennifer C; Sturgess, Joanna; Kyegombe, Nambusi; Walakira, Eddy J; Elbourne, Diana; Naker, Dipak; Devries, Karen M

2018-05-09

The Good School Toolkit, a complex behavioural intervention designed by Raising Voices a Ugandan NGO, reduced past week physical violence from school staff to primary students by an average of 42% in a recent randomised controlled trial. This process evaluation quantitatively examines what was implemented across the twenty-one intervention schools, variations in school prevalence of violence after the intervention, factors that influence exposure to the intervention and factors associated with students' experience of physical violence from staff at study endline. Implementation measures were captured prospectively in the twenty-one intervention schools over four school terms from 2012 to 2014 and Toolkit exposure captured in the student (n = 1921) and staff (n = 286) endline cross-sectional surveys in 2014. Implementation measures and the prevalence of violence are summarised across schools and are assessed for correlation using Spearman's Rank Correlation Coefficient. Regression models are used to explore individual factors associated with Toolkit exposure and with physical violence at endline. School prevalence of past week physical violence from staff against students ranged from 7% to 65% across schools at endline. Schools with higher mean levels of teacher Toolkit exposure had larger decreases in violence during the study. Students in schools categorised as implementing a 'low' number of program school-led activities reported less exposure to the Toolkit. Higher student Toolkit exposure was associated with decreased odds of experiencing physical violence from staff (OR: 0.76, 95%CI: 0.67-0.86, p-value< 0.001). Girls, students reporting poorer mental health and students in a lower grade were less exposed to the toolkit. After the intervention, and when adjusting for individual Toolkit exposure, some students remained at increased risk of experiencing violence from staff, including, girls, students reporting poorer mental health, students who experienced other violence and those reporting difficulty with self-care. Our results suggest that increasing students and teachers exposure to the Good School Toolkit within schools has the potential to bring about further reductions in violence. Effectiveness of the Toolkit may be increased by further targeting and supporting teachers' engagement with girls and students with mental health difficulties. The trial is registered at clinicaltrials.gov , NCT01678846, August 24th 2012.

DAKOTA Design Analysis Kit for Optimization and Terascale

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

Adams, Brian M.; Dalbey, Keith R.; Eldred, Michael S.

2010-02-24

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes (computational models) and iterative analysis methods. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and analysis of computational models on high performance computers.A user provides a set of DAKOTA commands in an input file and launches DAKOTA. DAKOTA invokes instances of the computational models, collects their results, and performs systems analyses. DAKOTA contains algorithms for optimization with gradient and nongradient-basedmore » methods; uncertainty quantification with sampling, reliability, polynomial chaos, stochastic collocation, and epistemic methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as hybrid optimization, surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. Services for parallel computing, simulation interfacing, approximation modeling, fault tolerance, restart, and graphics are also included.« less

Graph-based analysis of connectivity in spatially-explicit population models: HexSim and the Connectivity Analysis Toolkit

EPA Science Inventory

Background / Question / Methods Planning for the recovery of threatened species is increasingly informed by spatially-explicit population models. However, using simulation model results to guide land management decisions can be difficult due to the volume and complexity of model...

Educator Toolkits on Second Victim Syndrome, Mindfulness and Meditation, and Positive Psychology: The 2017 Resident Wellness Consensus Summit

PubMed Central

Smart, Jon; Zdradzinski, Michael; Roth, Sarah; Gende, Alecia; Conroy, Kylie; Battaglioli, Nicole

2018-01-01

Introduction Burnout, depression, and suicidality among residents of all specialties have become a critical focus of attention for the medical education community. Methods As part of the 2017 Resident Wellness Consensus Summit in Las Vegas, Nevada, resident participants from 31 programs collaborated in the Educator Toolkit workgroup. Over a seven-month period leading up to the summit, this workgroup convened virtually in the Wellness Think Tank, an online resident community, to perform a literature review and draft curricular plans on three core wellness topics. These topics were second victim syndrome, mindfulness and meditation, and positive psychology. At the live summit event, the workgroup expanded to include residents outside the Wellness Think Tank to obtain a broader consensus of the evidence-based toolkits for these three topics. Results Three educator toolkits were developed. The second victim syndrome toolkit has four modules, each with a pre-reading material and a leader (educator) guide. In the mindfulness and meditation toolkit, there are three modules with a leader guide in addition to a longitudinal, guided meditation plan. The positive psychology toolkit has two modules, each with a leader guide and a PowerPoint slide set. These toolkits provide educators the necessary resources, reading materials, and lesson plans to implement didactic sessions in their residency curriculum. Conclusion Residents from across the world collaborated and convened to reach a consensus on high-yield—and potentially high-impact—lesson plans that programs can use to promote and improve resident wellness. These lesson plans may stand alone or be incorporated into a larger wellness curriculum. PMID:29560061

Educator Toolkits on Second Victim Syndrome, Mindfulness and Meditation, and Positive Psychology: The 2017 Resident Wellness Consensus Summit.

PubMed

Chung, Arlene S; Smart, Jon; Zdradzinski, Michael; Roth, Sarah; Gende, Alecia; Conroy, Kylie; Battaglioli, Nicole

2018-03-01

Burnout, depression, and suicidality among residents of all specialties have become a critical focus of attention for the medical education community. As part of the 2017 Resident Wellness Consensus Summit in Las Vegas, Nevada, resident participants from 31 programs collaborated in the Educator Toolkit workgroup. Over a seven-month period leading up to the summit, this workgroup convened virtually in the Wellness Think Tank, an online resident community, to perform a literature review and draft curricular plans on three core wellness topics. These topics were second victim syndrome, mindfulness and meditation, and positive psychology. At the live summit event, the workgroup expanded to include residents outside the Wellness Think Tank to obtain a broader consensus of the evidence-based toolkits for these three topics. Three educator toolkits were developed. The second victim syndrome toolkit has four modules, each with a pre-reading material and a leader (educator) guide. In the mindfulness and meditation toolkit, there are three modules with a leader guide in addition to a longitudinal, guided meditation plan. The positive psychology toolkit has two modules, each with a leader guide and a PowerPoint slide set. These toolkits provide educators the necessary resources, reading materials, and lesson plans to implement didactic sessions in their residency curriculum. Residents from across the world collaborated and convened to reach a consensus on high-yield-and potentially high-impact-lesson plans that programs can use to promote and improve resident wellness. These lesson plans may stand alone or be incorporated into a larger wellness curriculum.

Foreign Language Analysis and Recognition (FLARe) Initial Progress

DTIC Science & Technology

2012-11-29

University Language Modeling ToolKit CoMMA Count Mediated Morphological Analysis CRUD Create, Read , Update & Delete CPAN Comprehensive Perl Archive...DATES COVERED (From - To) 1 October 2010 – 30 September 2012 4. TITLE AND SUBTITLE Foreign Language Analysis and Recognition (FLARe) Initial Progress...AFRL-RH-WP-TR-2012-0165 FOREIGN LANGUAGE ANALYSIS AND RECOGNITION (FLARE) INITIAL PROGRESS Brian M. Ore

Research and the Personal Computer.

ERIC Educational Resources Information Center

Blackburn, D. A.

1989-01-01

Discussed is the history and elements of the personal computer. Its uses as a laboratory assistant and generic toolkit for mathematical analysis and modeling are included. The future of the personal computer in research is addressed. (KR)

A transportation corridor analysis toolkit.

DOT National Transportation Integrated Search

2013-10-01

The Moving Ahead for Progress in the 21st Century Act includes a number of provisions advocating : improving the condition and performance of the national freight network through targeted investments and : policies by the Department of Transportation...

The RAPID Toolkit: Facilitating Utility-Scale Renewable Energy Development

Science.gov Websites

energy and bulk transmission projects. The RAPID Toolkit, developed by the National Renewable Energy Renewable Energy Development The RAPID Toolkit: Facilitating Utility-Scale Renewable Energy Development information about federal, state, and local permitting and regulations for utility-scale renewable energy and

Quality Assurance Toolkit for Distance Higher Education Institutions and Programmes

ERIC Educational Resources Information Center

Rama, Kondapalli, Ed.; Hope, Andrea, Ed.

2009-01-01

The Commonwealth of Learning is proud to partner with the Sri Lankan Ministry of Higher Education and UNESCO to produce this "Quality Assurance Toolkit for Distance Higher Education Institutions and Programmes". The Toolkit has been prepared with three features. First, it is a generic document on quality assurance, complete with a…

75 FR 35038 - Agency Information Collection Activities; Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-21

... components of the RED, as well as the needs of culturally and linguistically diverse patients; (2) To pre-test the revised RED Toolkit in ten varied hospital settings, evaluating how the RED Toolkit is... intensity of technical assistance (TA). (3) To modify the revised RED Toolkit based on pre-testing and to...

Transition Toolkit 3.0: Meeting the Educational Needs of Youth Exposed to the Juvenile Justice System. Third Edition

ERIC Educational Resources Information Center

Clark, Heather Griller; Mathur, Sarup; Brock, Leslie; O'Cummings, Mindee; Milligan, DeAngela

2016-01-01

The third edition of the National Technical Assistance Center for the Education of Neglected or Delinquent Children and Youth's (NDTAC's) "Transition Toolkit" provides updated information on existing policies, practices, strategies, and resources for transition that build on field experience and research. The "Toolkit" offers…

Problem posing and cultural tailoring: developing an HIV/AIDS health literacy toolkit with the African American community.

PubMed

Rikard, R V; Thompson, Maxine S; Head, Rachel; McNeil, Carlotta; White, Caressa

2012-09-01

The rate of HIV infection among African Americans is disproportionately higher than for other racial groups in the United States. Previous research suggests that low level of health literacy (HL) is an underlying factor to explain racial disparities in the prevalence and incidence of HIV/AIDS. The present research describes a community and university project to develop a culturally tailored HIV/AIDS HL toolkit in the African American community. Paulo Freire's pedagogical philosophy and problem-posing methodology served as the guiding framework throughout the development process. Developing the HIV/AIDS HL toolkit occurred in a two-stage process. In Stage 1, a nonprofit organization and research team established a collaborative partnership to develop a culturally tailored HIV/AIDS HL toolkit. In Stage 2, African American community members participated in focus groups conducted as Freirian cultural circles to further refine the HIV/AIDS HL toolkit. In both stages, problem posing engaged participants' knowledge, experiences, and concerns to evaluate a working draft toolkit. The discussion and implications highlight how Freire's pedagogical philosophy and methodology enhances the development of culturally tailored health information.

PresenceAbsence: An R package for presence absence analysis

Treesearch

Elizabeth A. Freeman; Gretchen Moisen

2008-01-01

The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of diagnostic tests. The package provides a toolkit for selecting the optimal threshold for translating a probability surface into presence-absence maps specifically tailored to their...

MITK-OpenIGTLink for combining open-source toolkits in real-time computer-assisted interventions.

PubMed

Klemm, Martin; Kirchner, Thomas; Gröhl, Janek; Cheray, Dominique; Nolden, Marco; Seitel, Alexander; Hoppe, Harald; Maier-Hein, Lena; Franz, Alfred M

2017-03-01

Due to rapid developments in the research areas of medical imaging, medical image processing and robotics, computer-assisted interventions (CAI) are becoming an integral part of modern patient care. From a software engineering point of view, these systems are highly complex and research can benefit greatly from reusing software components. This is supported by a number of open-source toolkits for medical imaging and CAI such as the medical imaging interaction toolkit (MITK), the public software library for ultrasound imaging research (PLUS) and 3D Slicer. An independent inter-toolkit communication such as the open image-guided therapy link (OpenIGTLink) can be used to combine the advantages of these toolkits and enable an easier realization of a clinical CAI workflow. MITK-OpenIGTLink is presented as a network interface within MITK that allows easy to use, asynchronous two-way messaging between MITK and clinical devices or other toolkits. Performance and interoperability tests with MITK-OpenIGTLink were carried out considering the whole CAI workflow from data acquisition over processing to visualization. We present how MITK-OpenIGTLink can be applied in different usage scenarios. In performance tests, tracking data were transmitted with a frame rate of up to 1000 Hz and a latency of 2.81 ms. Transmission of images with typical ultrasound (US) and greyscale high-definition (HD) resolutions of [Formula: see text] and [Formula: see text] is possible at up to 512 and 128 Hz, respectively. With the integration of OpenIGTLink into MITK, this protocol is now supported by all established open-source toolkits in the field. This eases interoperability between MITK and toolkits such as PLUS or 3D Slicer and facilitates cross-toolkit research collaborations. MITK and its submodule MITK-OpenIGTLink are provided open source under a BSD-style licence ( http://mitk.org ).

Tracker Toolkit

NASA Technical Reports Server (NTRS)

Lewis, Steven J.; Palacios, David M.

2013-01-01

This software can track multiple moving objects within a video stream simultaneously, use visual features to aid in the tracking, and initiate tracks based on object detection in a subregion. A simple programmatic interface allows plugging into larger image chain modeling suites. It extracts unique visual features for aid in tracking and later analysis, and includes sub-functionality for extracting visual features about an object identified within an image frame. Tracker Toolkit utilizes a feature extraction algorithm to tag each object with metadata features about its size, shape, color, and movement. Its functionality is independent of the scale of objects within a scene. The only assumption made on the tracked objects is that they move. There are no constraints on size within the scene, shape, or type of movement. The Tracker Toolkit is also capable of following an arbitrary number of objects in the same scene, identifying and propagating the track of each object from frame to frame. Target objects may be specified for tracking beforehand, or may be dynamically discovered within a tripwire region. Initialization of the Tracker Toolkit algorithm includes two steps: Initializing the data structures for tracked target objects, including targets preselected for tracking; and initializing the tripwire region. If no tripwire region is desired, this step is skipped. The tripwire region is an area within the frames that is always checked for new objects, and all new objects discovered within the region will be tracked until lost (by leaving the frame, stopping, or blending in to the background).

Technical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research.

PubMed

Yang, Deshan; Brame, Scott; El Naqa, Issam; Aditya, Apte; Wu, Yu; Goddu, S Murty; Mutic, Sasa; Deasy, Joseph O; Low, Daniel A

2011-01-01

Recent years have witnessed tremendous progress in image guide radiotherapy technology and a growing interest in the possibilities for adapting treatment planning and delivery over the course of treatment. One obstacle faced by the research community has been the lack of a comprehensive open-source software toolkit dedicated for adaptive radiotherapy (ART). To address this need, the authors have developed a software suite called the Deformable Image Registration and Adaptive Radiotherapy Toolkit (DIRART). DIRART is an open-source toolkit developed in MATLAB. It is designed in an object-oriented style with focus on user-friendliness, features, and flexibility. It contains four classes of DIR algorithms, including the newer inverse consistency algorithms to provide consistent displacement vector field in both directions. It also contains common ART functions, an integrated graphical user interface, a variety of visualization and image-processing features, dose metric analysis functions, and interface routines. These interface routines make DIRART a powerful complement to the Computational Environment for Radiotherapy Research (CERR) and popular image-processing toolkits such as ITK. DIRART provides a set of image processing/registration algorithms and postprocessing functions to facilitate the development and testing of DIR algorithms. It also offers a good amount of options for DIR results visualization, evaluation, and validation. By exchanging data with treatment planning systems via DICOM-RT files and CERR, and by bringing image registration algorithms closer to radiotherapy applications, DIRART is potentially a convenient and flexible platform that may facilitate ART and DIR research. 0 2011 Ameri-

Alarm rationalization: practical experience rationalizing alarm configuration for an accelerator subsystem

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

Kasemir, Kay; Hartman, Steven M

2009-01-01

A new alarm system toolkit has been implemented at SNS. The toolkit handles the Central Control Room (CCR) 'annunciator', or audio alarms. For the new alarm system to be effective, the alarms must be meaningful and properly configured. Along with the implementation of the new alarm toolkit, a thorough documentation and rationalization of the alarm configuration is taking place. Requirements and maintenance of a robust alarm configuration have been gathered from system and operations experts. In this paper we present our practical experience with the vacuum system alarm handling configuration of the alarm toolkit.

Demonstration of the Health Literacy Universal Precautions Toolkit

PubMed Central

Mabachi, Natabhona M.; Cifuentes, Maribel; Barnard, Juliana; Brega, Angela G.; Albright, Karen; Weiss, Barry D.; Brach, Cindy; West, David

2016-01-01

The Agency for Healthcare Research and Quality Health Literacy Universal Precautions Toolkit was developed to help primary care practices assess and make changes to improve communication with and support for patients. Twelve diverse primary care practices implemented assigned tools over a 6-month period. Qualitative results revealed challenges practices experienced during implementation, including competing demands, bureaucratic hurdles, technological challenges, limited quality improvement experience, and limited leadership support. Practices used the Toolkit flexibly and recognized the efficiencies of implementing tools in tandem and in coordination with other quality improvement initiatives. Practices recommended reducing Toolkit density and making specific refinements. PMID:27232681

Demonstration of the Health Literacy Universal Precautions Toolkit: Lessons for Quality Improvement.

PubMed

Mabachi, Natabhona M; Cifuentes, Maribel; Barnard, Juliana; Brega, Angela G; Albright, Karen; Weiss, Barry D; Brach, Cindy; West, David

2016-01-01

The Agency for Healthcare Research and Quality Health Literacy Universal Precautions Toolkit was developed to help primary care practices assess and make changes to improve communication with and support for patients. Twelve diverse primary care practices implemented assigned tools over a 6-month period. Qualitative results revealed challenges practices experienced during implementation, including competing demands, bureaucratic hurdles, technological challenges, limited quality improvement experience, and limited leadership support. Practices used the Toolkit flexibly and recognized the efficiencies of implementing tools in tandem and in coordination with other quality improvement initiatives. Practices recommended reducing Toolkit density and making specific refinements.

Sierra Toolkit Manual Version 4.48.

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

Sierra Toolkit Team

This report provides documentation for the SIERRA Toolkit (STK) modules. STK modules are intended to provide infrastructure that assists the development of computational engineering soft- ware such as finite-element analysis applications. STK includes modules for unstructured-mesh data structures, reading/writing mesh files, geometric proximity search, and various utilities. This document contains a chapter for each module, and each chapter contains overview descriptions and usage examples. Usage examples are primarily code listings which are generated from working test programs that are included in the STK code-base. A goal of this approach is to ensure that the usage examples will not fall outmore » of date. This page intentionally left blank.« less

Microgrid Design Toolkit (MDT) User Guide Software v1.2.

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

Eddy, John P.

2017-08-01

The Microgrid Design Toolkit (MDT) supports decision analysis for new ("greenfield") microgrid designs as well as microgrids with existing infrastructure. The current version of MDT includes two main capabilities. The first capability, the Microgrid Sizing Capability (MSC), is used to determine the size and composition of a new, grid connected microgrid in the early stages of the design process. MSC is focused on developing a microgrid that is economically viable when connected to the grid. The second capability is focused on designing a microgrid for operation in islanded mode. This second capability relies on two models: the Technology Management Optimizationmore » (TMO) model and Performance Reliability Model (PRM).« less

WRIST: A WRist Image Segmentation Toolkit for carpal bone delineation from MRI.

PubMed

Foster, Brent; Joshi, Anand A; Borgese, Marissa; Abdelhafez, Yasser; Boutin, Robert D; Chaudhari, Abhijit J

2018-01-01

Segmentation of the carpal bones from 3D imaging modalities, such as magnetic resonance imaging (MRI), is commonly performed for in vivo analysis of wrist morphology, kinematics, and biomechanics. This crucial task is typically carried out manually and is labor intensive, time consuming, subject to high inter- and intra-observer variability, and may result in topologically incorrect surfaces. We present a method, WRist Image Segmentation Toolkit (WRIST), for 3D semi-automated, rapid segmentation of the carpal bones of the wrist from MRI. In our method, the boundary of the bones were iteratively found using prior known anatomical constraints and a shape-detection level set. The parameters of the method were optimized using a training dataset of 48 manually segmented carpal bones and evaluated on 112 carpal bones which included both healthy participants without known wrist conditions and participants with thumb basilar osteoarthritis (OA). Manual segmentation by two expert human observers was considered as a reference. On the healthy subject dataset we obtained a Dice overlap of 93.0 ± 3.8, Jaccard Index of 87.3 ± 6.2, and a Hausdorff distance of 2.7 ± 3.4 mm, while on the OA dataset we obtained a Dice overlap of 90.7 ± 8.6, Jaccard Index of 83.0 ± 10.6, and a Hausdorff distance of 4.0 ± 4.4 mm. The short computational time of 20.8 s per bone (or 5.1 s per bone in the parallelized version) and the high agreement with the expert observers gives WRIST the potential to be utilized in musculoskeletal research. Copyright © 2017 Elsevier Ltd. All rights reserved.

Scientific Visualization Using the Flow Analysis Software Toolkit (FAST)

NASA Technical Reports Server (NTRS)

Bancroft, Gordon V.; Kelaita, Paul G.; Mccabe, R. Kevin; Merritt, Fergus J.; Plessel, Todd C.; Sandstrom, Timothy A.; West, John T.

1993-01-01

Over the past few years the Flow Analysis Software Toolkit (FAST) has matured into a useful tool for visualizing and analyzing scientific data on high-performance graphics workstations. Originally designed for visualizing the results of fluid dynamics research, FAST has demonstrated its flexibility by being used in several other areas of scientific research. These research areas include earth and space sciences, acid rain and ozone modelling, and automotive design, just to name a few. This paper describes the current status of FAST, including the basic concepts, architecture, existing functionality and features, and some of the known applications for which FAST is being used. A few of the applications, by both NASA and non-NASA agencies, are outlined in more detail. Described in the Outlines are the goals of each visualization project, the techniques or 'tricks' used lo produce the desired results, and custom modifications to FAST, if any, done to further enhance the analysis. Some of the future directions for FAST are also described.

The nursing human resource planning best practice toolkit: creating a best practice resource for nursing managers.

PubMed

Vincent, Leslie; Beduz, Mary Agnes

2010-05-01

Evidence of acute nursing shortages in urban hospitals has been surfacing since 2000. Further, new graduate nurses account for more than 50% of total nurse turnover in some hospitals and between 35% and 60% of new graduates change workplace during the first year. Critical to organizational success, first line nurse managers must have the knowledge and skills to ensure the accurate projection of nursing resource requirements and to develop proactive recruitment and retention programs that are effective, promote positive nursing socialization, and provide early exposure to the clinical setting. The Nursing Human Resource Planning Best Practice Toolkit project supported the creation of a network of teaching and community hospitals to develop a best practice toolkit in nursing human resource planning targeted at first line nursing managers. The toolkit includes the development of a framework including the conceptual building blocks of planning tools, manager interventions, retention and recruitment and professional practice models. The development of the toolkit involved conducting a review of the literature for best practices in nursing human resource planning, using a mixed method approach to data collection including a survey and extensive interviews of managers and completing a comprehensive scan of human resource practices in the participating organizations. This paper will provide an overview of the process used to develop the toolkit, a description of the toolkit contents and a reflection on the outcomes of the project.

Use of Pediatrician Toolkit to Address Parental Perception of Children’s Weight Status, Nutrition, and Activity Behaviors

PubMed Central

Perrin, Eliana M.; Jacobson Vann, Julie C.; Benjamin, John T.; Skinner, Asheley Cockrell; Wegner, Steven; Ammerman, Alice S.

2010-01-01

Background Communication of children’s weight status and targeted counseling by pediatricians may change parental perceptions or child dietary and physical activity (PA) behaviors. Purpose To determine whether accuracy of parental perception of children’s weight status and reports of related behaviors changed following a brief pediatrics resident intervention. Methods Parents (N=115) of children ages 4–12 years enrolled in Medicaid completed baseline questionnaires about prior communication of weight status and/or body mass index (BMI) with providers, perceptions of their children’s weight, and children s dietary and PA behaviors, and children were weighed and measured. Trained residents used a toolkit to communicate weight status to parents (via color-coded BMI charts) and counseled about mutually chosen healthy behaviors. Questionnaires were repeated at one and three months, and measurements were repeated for children with BMI≥85%. Results At baseline, 42% of parents of overweight children believed they were at healthy weight. Most (n=96; 83%) parents completed one-month, and 56% completed three month follow up questionnaires. Improvements in fruit and vegetable consumption, sweet drinks, unhealthy snacks, frequency of restaurant food, lower-fat milk, and screen time, occurred among both overweight and healthy weight children. There were also increases in discussions with providers about weight/BMI and parental accuracy of overweight assessment. Conclusions Parent accuracy of weight status and short term childhood dietary and PA behavior changes improved following resident pediatrician use of a toolkit to support communication of weight status and counseling. Further research needs to determine whether accurate parental perception motivates improved behavior change or healthier BMI trajectories. PMID:20554259

Use of a pediatrician toolkit to address parental perception of children's weight status, nutrition, and activity behaviors.

PubMed

Perrin, Eliana M; Jacobson Vann, Julie C; Benjamin, John T; Skinner, Asheley Cockrell; Wegner, Steven; Ammerman, Alice S

2010-01-01

Communication of children's weight status and targeted counseling by pediatricians may change parental perceptions or child dietary and physical activity behaviors. The aim of this study was to determine whether accuracy of parental perception of children's weight status and reports of related behaviors changed following a brief pediatrics resident intervention. Parents (N = 115) of children aged 4 to 12 years enrolled in Medicaid completed baseline questionnaires with providers about prior communication of weight status and/or body mass index (BMI), perceptions of their children's weight, and children's dietary and physical activity behaviors, and children were weighed and measured. Trained residents used a toolkit to communicate weight status to parents (via color-coded BMI charts) and counseled about mutually chosen healthy behaviors. Questionnaires were repeated at 1 and 3 months, and measurements were repeated for children with BMI > or =85%. At baseline, 42% of parents of overweight children believed their children were at healthy weight. Most (n = 96; 83%) parents completed 1-month questionnaires, and 56% completed 3-month follow-up questionnaires. Improvements in fruit and vegetable consumption, sweet drinks, unhealthy snacks, frequency of restaurant food, lower-fat milk, and screen time occurred among both overweight and healthy weight children. There were also increases in discussions with providers about weight/BMI and parental accuracy of overweight assessment. Parent accuracy of weight status and short-term childhood dietary and physical activity behavior changes improved following resident pediatrician use of a toolkit to support communication of weight status and counseling. Further research needs to determine whether accurate parental perception motivates improved behavior change or healthier BMI trajectories. 2010 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

ReSeqTools: an integrated toolkit for large-scale next-generation sequencing based resequencing analysis.

PubMed

He, W; Zhao, S; Liu, X; Dong, S; Lv, J; Liu, D; Wang, J; Meng, Z

2013-12-04

Large-scale next-generation sequencing (NGS)-based resequencing detects sequence variations, constructs evolutionary histories, and identifies phenotype-related genotypes. However, NGS-based resequencing studies generate extraordinarily large amounts of data, making computations difficult. Effective use and analysis of these data for NGS-based resequencing studies remains a difficult task for individual researchers. Here, we introduce ReSeqTools, a full-featured toolkit for NGS (Illumina sequencing)-based resequencing analysis, which processes raw data, interprets mapping results, and identifies and annotates sequence variations. ReSeqTools provides abundant scalable functions for routine resequencing analysis in different modules to facilitate customization of the analysis pipeline. ReSeqTools is designed to use compressed data files as input or output to save storage space and facilitates faster and more computationally efficient large-scale resequencing studies in a user-friendly manner. It offers abundant practical functions and generates useful statistics during the analysis pipeline, which significantly simplifies resequencing analysis. Its integrated algorithms and abundant sub-functions provide a solid foundation for special demands in resequencing projects. Users can combine these functions to construct their own pipelines for other purposes.

Toolkit for Evaluating Alignment of Instructional and Assessment Materials to the Common Core State Standards

ERIC Educational Resources Information Center

Achieve, Inc., 2014

2014-01-01

In joint partnership, Achieve, The Council of Chief State School Officers, and Student Achievement Partners have developed a Toolkit for Evaluating the Alignment of Instructional and Assessment Materials to the Common Core State Standards. The Toolkit is a set of interrelated, freely available instruments for evaluating alignment to the CCSS; each…

Plant microRNA-Target Interaction Identification Model Based on the Integration of Prediction Tools and Support Vector Machine

PubMed Central

Meng, Jun; Shi, Lin; Luan, Yushi

2014-01-01

Background Confident identification of microRNA-target interactions is significant for studying the function of microRNA (miRNA). Although some computational miRNA target prediction methods have been proposed for plants, results of various methods tend to be inconsistent and usually lead to more false positive. To address these issues, we developed an integrated model for identifying plant miRNA–target interactions. Results Three online miRNA target prediction toolkits and machine learning algorithms were integrated to identify and analyze Arabidopsis thaliana miRNA-target interactions. Principle component analysis (PCA) feature extraction and self-training technology were introduced to improve the performance. Results showed that the proposed model outperformed the previously existing methods. The results were validated by using degradome sequencing supported Arabidopsis thaliana miRNA-target interactions. The proposed model constructed on Arabidopsis thaliana was run over Oryza sativa and Vitis vinifera to demonstrate that our model is effective for other plant species. Conclusions The integrated model of online predictors and local PCA-SVM classifier gained credible and high quality miRNA-target interactions. The supervised learning algorithm of PCA-SVM classifier was employed in plant miRNA target identification for the first time. Its performance can be substantially improved if more experimentally proved training samples are provided. PMID:25051153

NSI security task: Overview

NASA Technical Reports Server (NTRS)

Tencati, Ron

1991-01-01

An overview is presented of the NASA Science Internet (NSI) security task. The task includes the following: policies and security documentation; risk analysis and management; computer emergency response team; incident handling; toolkit development; user consulting; and working groups, conferences, and committees.

MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity

PubMed Central

Wang, Yupeng; Tang, Haibao; DeBarry, Jeremy D.; Tan, Xu; Li, Jingping; Wang, Xiyin; Lee, Tae-ho; Jin, Huizhe; Marler, Barry; Guo, Hui; Kissinger, Jessica C.; Paterson, Andrew H.

2012-01-01

MCScan is an algorithm able to scan multiple genomes or subgenomes in order to identify putative homologous chromosomal regions, and align these regions using genes as anchors. The MCScanX toolkit implements an adjusted MCScan algorithm for detection of synteny and collinearity that extends the original software by incorporating 14 utility programs for visualization of results and additional downstream analyses. Applications of MCScanX to several sequenced plant genomes and gene families are shown as examples. MCScanX can be used to effectively analyze chromosome structural changes, and reveal the history of gene family expansions that might contribute to the adaptation of lineages and taxa. An integrated view of various modes of gene duplication can supplement the traditional gene tree analysis in specific families. The source code and documentation of MCScanX are freely available at http://chibba.pgml.uga.edu/mcscan2/. PMID:22217600

ISRNA: an integrative online toolkit for short reads from high-throughput sequencing data.

PubMed

Luo, Guan-Zheng; Yang, Wei; Ma, Ying-Ke; Wang, Xiu-Jie

2014-02-01

Integrative Short Reads NAvigator (ISRNA) is an online toolkit for analyzing high-throughput small RNA sequencing data. Besides the high-speed genome mapping function, ISRNA provides statistics for genomic location, length distribution and nucleotide composition bias analysis of sequence reads. Number of reads mapped to known microRNAs and other classes of short non-coding RNAs, coverage of short reads on genes, expression abundance of sequence reads as well as some other analysis functions are also supported. The versatile search functions enable users to select sequence reads according to their sub-sequences, expression abundance, genomic location, relationship to genes, etc. A specialized genome browser is integrated to visualize the genomic distribution of short reads. ISRNA also supports management and comparison among multiple datasets. ISRNA is implemented in Java/C++/Perl/MySQL and can be freely accessed at http://omicslab.genetics.ac.cn/ISRNA/.

The MUSOS (MUsic SOftware System) Toolkit: A computer-based, open source application for testing memory for melodies.

PubMed

Rainsford, M; Palmer, M A; Paine, G

2018-04-01

Despite numerous innovative studies, rates of replication in the field of music psychology are extremely low (Frieler et al., 2013). Two key methodological challenges affecting researchers wishing to administer and reproduce studies in music cognition are the difficulty of measuring musical responses, particularly when conducting free-recall studies, and access to a reliable set of novel stimuli unrestricted by copyright or licensing issues. In this article, we propose a solution for these challenges in computer-based administration. We present a computer-based application for testing memory for melodies. Created using the software Max/MSP (Cycling '74, 2014a), the MUSOS (Music Software System) Toolkit uses a simple modular framework configurable for testing common paradigms such as recall, old-new recognition, and stem completion. The program is accompanied by a stimulus set of 156 novel, copyright-free melodies, in audio and Max/MSP file formats. Two pilot tests were conducted to establish the properties of the accompanying stimulus set that are relevant to music cognition and general memory research. By using this software, a researcher without specialist musical training may administer and accurately measure responses from common paradigms used in the study of memory for music.

The Seismic Tool-Kit (STK): An Open Source Software For Learning the Basis of Signal Processing and Seismology.

NASA Astrophysics Data System (ADS)

Reymond, D.

2016-12-01

We present an open source software project (GNU public license), named STK: Seismic Tool-Kit, that is dedicated mainly for learning signal processing and seismology. The STK project that started in 2007, is hosted by SourceForge.net, and count more than 20000 downloads at the date of writing.The STK project is composed of two main branches:First, a graphical interface dedicated to signal processing (in the SAC format (SAC_ASCII and SAC_BIN): where the signal can be plotted, zoomed, filtered, integrated, derivated, ... etc. (a large variety of IFR and FIR filter is proposed). The passage in the frequency domain via the Fourier transform is used to introduce the estimation of spectral density of the signal , with visualization of the Power Spectral Density (PSD) in linear or log scale, and also the evolutive time-frequency representation (or sonagram). The 3-components signals can be also processed for estimating their polarization properties, either for a given window, or either for evolutive windows along the time. This polarization analysis is useful for extracting the polarized noises, differentiating P waves, Rayleigh waves, Love waves, ... etc. Secondly, a panel of Utilities-Program are proposed for working in a terminal mode, with basic programs for computing azimuth and distance in spherical geometry, inter/auto-correlation, spectral density, time-frequency for an entire directory of signals, focal planes, and main components axis, radiation pattern of P waves, Polarization analysis of different waves (including noise), under/over-sampling the signals, cubic-spline smoothing, and linear/non linear regression analysis of data set. STK is developed in C/C++, mainly under Linux OS, and it has been also partially implemented under MS-Windows. STK has been used in some schools for viewing and plotting seismic records provided by IRIS, and it has been used as a practical support for teaching the basis of signal processing. Useful links:http://sourceforge.net/projects/seismic-toolkit/http://sourceforge.net/p/seismic-toolkit/wiki/browse_pages/

iPhos: a toolkit to streamline the alkaline phosphatase-assisted comprehensive LC-MS phosphoproteome investigation

PubMed Central

2014-01-01

Background Comprehensive characterization of the phosphoproteome in living cells is critical in signal transduction research. But the low abundance of phosphopeptides among the total proteome in cells remains an obstacle in mass spectrometry-based proteomic analysis. To provide a solution, an alternative analytic strategy to confidently identify phosphorylated peptides by using the alkaline phosphatase (AP) treatment combined with high-resolution mass spectrometry was provided. While the process is applicable, the key integration along the pipeline was mostly done by tedious manual work. Results We developed a software toolkit, iPhos, to facilitate and streamline the work-flow of AP-assisted phosphoproteome characterization. The iPhos tookit includes one assister and three modules. The iPhos Peak Extraction Assister automates the batch mode peak extraction for multiple liquid chromatography mass spectrometry (LC-MS) runs. iPhos Module-1 can process the peak lists extracted from the LC-MS analyses derived from the original and dephosphorylated samples to mine out potential phosphorylated peptide signals based on mass shift caused by the loss of some multiples of phosphate groups. And iPhos Module-2 provides customized inclusion lists with peak retention time windows for subsequent targeted LC-MS/MS experiments. Finally, iPhos Module-3 facilitates to link the peptide identifications from protein search engines to the quantification results from pattern-based label-free quantification tools. We further demonstrated the utility of the iPhos toolkit on the data of human metastatic lung cancer cells (CL1-5). Conclusions In the comparison study of the control group of CL1-5 cell lysates and the treatment group of dasatinib-treated CL1-5 cell lysates, we demonstrated the applicability of the iPhos toolkit and reported the experimental results based on the iPhos-facilitated phosphoproteome investigation. And further, we also compared the strategy with pure DDA-based LC-MS/MS phosphoproteome investigation. The results of iPhos-facilitated targeted LC-MS/MS analysis convey more thorough and confident phosphopeptide identification than the results of pure DDA-based analysis. PMID:25521246

Fall TIPS: strategies to promote adoption and use of a fall prevention toolkit.

PubMed

Dykes, Patricia C; Carroll, Diane L; Hurley, Ann; Gersh-Zaremski, Ronna; Kennedy, Ann; Kurowski, Jan; Tierney, Kim; Benoit, Angela; Chang, Frank; Lipsitz, Stuart; Pang, Justine; Tsurkova, Ruslana; Zuyov, Lyubov; Middleton, Blackford

2009-11-14

Patient falls are serious problems in hospitals. Risk factors for falls are well understood and nurses routinely assess for fall risk on all hospitalized patients. However, the link from nursing assessment of fall risk, to identification and communication of tailored interventions to prevent falls is yet to be established. The Fall TIPS (Tailoring Interventions for Patient Safety) Toolkit was developed to leverage existing practices and workflows and to employ information technology to improve fall prevention practices. The purpose of this paper is to describe the Fall TIPS Toolkit and to report on strategies used to drive adoption of the Toolkit in four acute care hospitals. Using the IHI "Framework for Spread" as a conceptual model, the research team describes the "spread" of the Fall TIPS Toolkit as means to integrate effective fall prevention practices into the workflow of interdisciplinary caregivers, patients and family members.

The doctor-patient relationship as a toolkit for uncertain clinical decisions.

PubMed

Diamond-Brown, Lauren

2016-06-01

Medical uncertainty is a well-recognized problem in healthcare, yet how doctors make decisions in the face of uncertainty remains to be understood. This article draws on interdisciplinary literature on uncertainty and physician decision-making to examine a specific physician response to uncertainty: using the doctor-patient relationship as a toolkit. Additionally, I ask what happens to this process when the doctor-patient relationship becomes fragmented. I answer these questions by examining obstetrician-gynecologists' narratives regarding how they make decisions when faced with uncertainty in childbirth. Between 2013 and 2014, I performed 21 semi-structured interviews with obstetricians in the United States. Obstetricians were selected to maximize variation in relevant physician, hospital, and practice characteristics. I began with grounded theory and moved to analytical coding of themes in relation to relevant literature. My analysis renders it evident that some physicians use the doctor-patient relationship as a toolkit for dealing with uncertainty. I analyze how this process varies for physicians in different models of care by comparing doctors' experiences in models with continuous versus fragmented doctor-patient relationships. My key findings are that obstetricians in both models appealed to the ideal of patient-centered decision-making to cope with uncertain decisions, but in practice physicians in fragmented care faced a number of challenges to using the doctor-patient relationship as a toolkit for decision-making. These challenges led to additional uncertainties and in some cases to poor outcomes for doctors and/or patients; they also raised concerns about the reproduction of inequality. Thus organization of care delivery mitigates the efficacy of doctors' use of the doctor-patient relationship toolkit for uncertain decisions. These findings have implications for theorizing about decision-making under conditions of medical uncertainty, for understanding how the doctor-patient relationship and model of care affect physician decision-making, and for forming policy on the optimal structure of medical work. Copyright © 2016 Elsevier Ltd. All rights reserved.

Stylistic gait synthesis based on hidden Markov models

NASA Astrophysics Data System (ADS)

Tilmanne, Joëlle; Moinet, Alexis; Dutoit, Thierry

2012-12-01

In this work we present an expressive gait synthesis system based on hidden Markov models (HMMs), following and modifying a procedure originally developed for speaking style adaptation, in speech synthesis. A large database of neutral motion capture walk sequences was used to train an HMM of average walk. The model was then used for automatic adaptation to a particular style of walk using only a small amount of training data from the target style. The open source toolkit that we adapted for motion modeling also enabled us to take into account the dynamics of the data and to model accurately the duration of each HMM state. We also address the assessment issue and propose a procedure for qualitative user evaluation of the synthesized sequences. Our tests show that the style of these sequences can easily be recognized and look natural to the evaluators.

Communicating Comparative Findings from Meta-Analysis in Educational Research: Some Examples and Suggestions

ERIC Educational Resources Information Center

Higgins, Steve; Katsipataki, Maria

2016-01-01

This article reviews some of the strengths and limitations of the comparative use of meta-analysis findings, using examples from the Sutton Trust-Education Endowment Foundation Teaching and Learning "Toolkit" which summarizes a range of educational approaches to improve pupil attainment in schools. This comparative use of quantitative…

DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research.

PubMed

Fedorov, Andriy; Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R

2016-01-01

Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support these tasks in Positron Emission Tomography and Computed Tomography (PET/CT) quantitative imaging (QI) biomarker development applied to head and neck cancer (HNC) treatment response assessment, using the Digital Imaging and Communications in Medicine (DICOM(®)) international standard and free open-source software. Methods. Quantitative analysis of PET/CT imaging data collected on patients undergoing treatment for HNC was conducted. Processing steps included Standardized Uptake Value (SUV) normalization of the images, segmentation of the tumor using manual and semi-automatic approaches, automatic segmentation of the reference regions, and extraction of the volumetric segmentation-based measurements. Suitable components of the DICOM standard were identified to model the various types of data produced by the analysis. A developer toolkit of conversion routines and an Application Programming Interface (API) were contributed and applied to create a standards-based representation of the data. Results. DICOM Real World Value Mapping, Segmentation and Structured Reporting objects were utilized for standards-compliant representation of the PET/CT QI analysis results and relevant clinical data. A number of correction proposals to the standard were developed. The open-source DICOM toolkit (DCMTK) was improved to simplify the task of DICOM encoding by introducing new API abstractions. Conversion and visualization tools utilizing this toolkit were developed. The encoded objects were validated for consistency and interoperability. The resulting dataset was deposited in the QIN-HEADNECK collection of The Cancer Imaging Archive (TCIA). Supporting tools for data analysis and DICOM conversion were made available as free open-source software. Discussion. We presented a detailed investigation of the development and application of the DICOM model, as well as the supporting open-source tools and toolkits, to accommodate representation of the research data in QI biomarker development. We demonstrated that the DICOM standard can be used to represent the types of data relevant in HNC QI biomarker development, and encode their complex relationships. The resulting annotated objects are amenable to data mining applications, and are interoperable with a variety of systems that support the DICOM standard.

Risk-Informed External Hazards Analysis for Seismic and Flooding Phenomena for a Generic PWR

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

Parisi, Carlo; Prescott, Steve; Ma, Zhegang

This report describes the activities performed during the FY2017 for the US-DOE Light Water Reactor Sustainability Risk-Informed Safety Margin Characterization (LWRS-RISMC), Industry Application #2. The scope of Industry Application #2 is to deliver a risk-informed external hazards safety analysis for a representative nuclear power plant. Following the advancements occurred during the previous FYs (toolkits identification, models development), FY2017 focused on: increasing the level of realism of the analysis; improving the tools and the coupling methodologies. In particular the following objectives were achieved: calculation of buildings pounding and their effects on components seismic fragility; development of a SAPHIRE code PRA modelsmore » for 3-loops Westinghouse PWR; set-up of a methodology for performing static-dynamic PRA coupling between SAPHIRE and EMRALD codes; coupling RELAP5-3D/RAVEN for performing Best-Estimate Plus Uncertainty analysis and automatic limit surface search; and execute sample calculations for demonstrating the capabilities of the toolkit in performing a risk-informed external hazards safety analyses.« less

Building Emergency Contraception Awareness among Adolescents. A Toolkit for Schools and Community-Based Organizations.

ERIC Educational Resources Information Center

Simkin, Linda; Radosh, Alice; Nelsesteun, Kari; Silverstein, Stacy

This toolkit presents emergency contraception (EC) as a method to help adolescent women avoid pregnancy and abortion after unprotected sexual intercourse. The sections of this toolkit are designed to help increase your knowledge of EC and stay up to date. They provide suggestions for increasing EC awareness in the workplace, whether it is a school…

The Customer Flow Toolkit: A Framework for Designing High Quality Customer Services.

ERIC Educational Resources Information Center

New York Association of Training and Employment Professionals, Albany.

This document presents a toolkit to assist staff involved in the design and development of New York's one-stop system. Section 1 describes the preplanning issues to be addressed and the intended outcomes that serve as the framework for creation of the customer flow toolkit. Section 2 outlines the following strategies to assist in designing local…

HIV Prevention in Schools: A Tool Kit for Education Leaders.

ERIC Educational Resources Information Center

Office of the Surgeon General (DHHS/PHS), Washington, DC.

This packet of materials is Phase 1 of a toolkit designed to enlighten education leaders about the need for HIV prevention for youth, especially in communities of color. One element of the toolkit is a VHS videotape that features a brief message from former Surgeon General, Dr. David Satcher. The toolkit also includes a copy of a letter sent to…

Toolkit of Resources for Engaging Parents and Community as Partners in Education. Part I: Building an Understanding of Family and Community Engagement

ERIC Educational Resources Information Center

Regional Educational Laboratory Pacific, 2014

2014-01-01

This toolkit is designed to guide school staff in strengthening partnerships with families and community members to support student learning. This toolkit offers an integrated approach to family and community engagement, bringing together research, promising practices, and a wide range of useful tools and resources with explanations and directions…

Toolkit for a Workshop on Building a Culture of Data Use. REL 2015-063

ERIC Educational Resources Information Center

Gerzon, Nancy; Guckenburg, Sarah

2015-01-01

The Culture of Data Use Workshop Toolkit helps school and district teams apply research to practice as they establish and support a culture of data use in their educational setting. The field-tested workshop toolkit guides teams through a set of structured activities to develop an understanding of data-use research in schools and to analyze…

Implementing Project Based Survey Research Skills to Grade Six ELP Students with "The Survey Toolkit" and "TinkerPlots"[R

ERIC Educational Resources Information Center

Walsh, Thomas, Jr.

2011-01-01

"Survey Toolkit Collecting Information, Analyzing Data and Writing Reports" (Walsh, 2009a) is discussed as a survey research curriculum used by the author's sixth grade students. The report describes the implementation of "The Survey Toolkit" curriculum and "TinkerPlots"[R] software to provide instruction to students learning a project based…

Overview and Meteorological Validation of the Wind Integration National Dataset toolkit

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

Draxl, C.; Hodge, B. M.; Clifton, A.

2015-04-13

The Wind Integration National Dataset (WIND) Toolkit described in this report fulfills these requirements, and constitutes a state-of-the-art national wind resource data set covering the contiguous United States from 2007 to 2013 for use in a variety of next-generation wind integration analyses and wind power planning. The toolkit is a wind resource data set, wind forecast data set, and wind power production and forecast data set derived from the Weather Research and Forecasting (WRF) numerical weather prediction model. WIND Toolkit data are available online for over 116,000 land-based and 10,000 offshore sites representing existing and potential wind facilities.

PsyToolkit: a software package for programming psychological experiments using Linux.

PubMed

Stoet, Gijsbert

2010-11-01

PsyToolkit is a set of software tools for programming psychological experiments on Linux computers. Given that PsyToolkit is freely available under the Gnu Public License, open source, and designed such that it can easily be modified and extended for individual needs, it is suitable not only for technically oriented Linux users, but also for students, researchers on small budgets, and universities in developing countries. The software includes a high-level scripting language, a library for the programming language C, and a questionnaire presenter. The software easily integrates with other open source tools, such as the statistical software package R. PsyToolkit is designed to work with external hardware (including IoLab and Cedrus response keyboards and two common digital input/output boards) and to support millisecond timing precision. Four in-depth examples explain the basic functionality of PsyToolkit. Example 1 demonstrates a stimulus-response compatibility experiment. Example 2 demonstrates a novel mouse-controlled visual search experiment. Example 3 shows how to control light emitting diodes using PsyToolkit, and Example 4 shows how to build a light-detection sensor. The last two examples explain the electronic hardware setup such that they can even be used with other software packages.

An open source toolkit for medical imaging de-identification.

PubMed

González, David Rodríguez; Carpenter, Trevor; van Hemert, Jano I; Wardlaw, Joanna

2010-08-01

Medical imaging acquired for clinical purposes can have several legitimate secondary uses in research projects and teaching libraries. No commonly accepted solution for anonymising these images exists because the amount of personal data that should be preserved varies case by case. Our objective is to provide a flexible mechanism for anonymising Digital Imaging and Communications in Medicine (DICOM) data that meets the requirements for deployment in multicentre trials. We reviewed our current de-identification practices and defined the relevant use cases to extract the requirements for the de-identification process. We then used these requirements in the design and implementation of the toolkit. Finally, we tested the toolkit taking as a reference those requirements, including a multicentre deployment. The toolkit successfully anonymised DICOM data from various sources. Furthermore, it was shown that it could forward anonymous data to remote destinations, remove burned-in annotations, and add tracking information to the header. The toolkit also implements the DICOM standard confidentiality mechanism. A DICOM de-identification toolkit that facilitates the enforcement of privacy policies was developed. It is highly extensible, provides the necessary flexibility to account for different de-identification requirements and has a low adoption barrier for new users.

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

NASA Astrophysics Data System (ADS)

Rit, S.; Vila Oliva, M.; Brousmiche, S.; Labarbe, R.; Sarrut, D.; Sharp, G. C.

2014-03-01

We propose the Reconstruction Toolkit (RTK, http://www.openrtk.org), an open-source toolkit for fast cone-beam CT reconstruction, based on the Insight Toolkit (ITK) and using GPU code extracted from Plastimatch. RTK is developed by an open consortium (see affiliations) under the non-contaminating Apache 2.0 license. The quality of the platform is daily checked with regression tests in partnership with Kitware, the company supporting ITK. Several features are already available: Elekta, Varian and IBA inputs, multi-threaded Feldkamp-David-Kress reconstruction on CPU and GPU, Parker short scan weighting, multi-threaded CPU and GPU forward projectors, etc. Each feature is either accessible through command line tools or C++ classes that can be included in independent software. A MIDAS community has been opened to share CatPhan datasets of several vendors (Elekta, Varian and IBA). RTK will be used in the upcoming cone-beam CT scanner developed by IBA for proton therapy rooms. Many features are under development: new input format support, iterative reconstruction, hybrid Monte Carlo / deterministic CBCT simulation, etc. RTK has been built to freely share tomographic reconstruction developments between researchers and is open for new contributions.

Development of an Online Toolkit for Measuring Performance in Health Emergency Response Exercises.

PubMed

Agboola, Foluso; Bernard, Dorothy; Savoia, Elena; Biddinger, Paul D

2015-10-01

Exercises that simulate emergency scenarios are accepted widely as an essential component of a robust Emergency Preparedness program. Unfortunately, the variability in the quality of the exercises conducted, and the lack of standardized processes to measure performance, has limited the value of exercises in measuring preparedness. In order to help health organizations improve the quality and standardization of the performance data they collect during simulated emergencies, a model online exercise evaluation toolkit was developed using performance measures tested in over 60 Emergency Preparedness exercises. The exercise evaluation toolkit contains three major components: (1) a database of measures that can be used to assess performance during an emergency response exercise; (2) a standardized data collection tool (form); and (3) a program that populates the data collection tool with the measures that have been selected by the user from the database. The evaluation toolkit was pilot tested from January through September 2014 in collaboration with 14 partnering organizations representing 10 public health agencies and four health care agencies from eight states across the US. Exercise planners from the partnering organizations were asked to use the toolkit for their exercise evaluation process and were interviewed to provide feedback on the use of the toolkit, the generated evaluation tool, and the usefulness of the data being gathered for the development of the exercise after-action report. Ninety-three percent (93%) of exercise planners reported that they found the online database of performance measures appropriate for the creation of exercise evaluation forms, and they stated that they would use it again for future exercises. Seventy-two percent (72%) liked the exercise evaluation form that was generated from the toolkit, and 93% reported that the data collected by the use of the evaluation form were useful in gauging their organization's performance during the exercise. Seventy-nine percent (79%) of exercise planners preferred the evaluation form generated by the toolkit to other forms of evaluations. Results of this project show that users found the newly developed toolkit to be user friendly and more relevant to measurement of specific public health and health care capabilities than other tools currently available. The developed toolkit may contribute to the further advancement of developing a valid approach to exercise performance measurement.

National Intelligent Transportation Systems Program Plan: Five-Year Horizon

DOT National Transportation Integrated Search

2013-06-01

This white paper is a follow-up to the Volpe Center report for FHWA, Ridesharing Options Analysis and Practitioners Toolkit. The white paper provides an update to current ridesharing options and further explores technology and policy develop...

Development of a toolkit for cost-benefit analysis of specific winter maintenance practices, equipment and operations.

DOT National Transportation Integrated Search

2010-11-01

The operators and maintainers of highway networks are facing increasing demands and : customer expectations regarding mobility and transportation safety during inclement weather, : while confronting budget and staffing constraints and environmental c...

Facilitated family presence at resuscitation: effectiveness of a nursing student toolkit.

PubMed

Kantrowitz-Gordon, Ira; Bennett, Deborah; Wise Stauffer, Debra; Champ-Gibson, Erla; Fitzgerald, Cynthia; Corbett, Cynthia

2013-10-01

Facilitated family presence at resuscitation is endorsed by multiple nursing and specialty practice organizations. Implementation of this practice is not universal so there is a need to increase familiarity and competence with facilitated family presence at resuscitation during this significant life event. One strategy to promote this practice is to use a nursing student toolkit for pre-licensure and graduate nursing students. The toolkit includes short video simulations of facilitated family presence at resuscitation, a PowerPoint presentation of evidence-based practice, and questions to facilitate guided discussion. This study tested the effectiveness of this toolkit in increasing nursing students' knowledge, perceptions, and confidence in facilitated family presence at resuscitation. Nursing students from five universities in the United States completed the Family Presence Risk-Benefit Scale, Family Presence Self-Confidence Scale, and a knowledge test before and after the intervention. Implementing the facilitated family presence at resuscitation toolkit significantly increased nursing students' knowledge, perceptions, and confidence related to facilitated family presence at resuscitation (p<.001). The effect size was large for knowledge (d=.90) and perceptions (d=1.04) and moderate for confidence (d=.51). The facilitated family presence at resuscitation toolkit used in this study had a positive impact on students' knowledge, perception of benefits and risks, and self-confidence in facilitated family presence at resuscitation. The toolkit provides students a structured opportunity to consider the presence of family members at resuscitation prior to encountering this situation in clinical practice. Copyright © 2012 Elsevier Ltd. All rights reserved.

Behavioral Genetic Toolkits: Toward the Evolutionary Origins of Complex Phenotypes.

PubMed

Rittschof, C C; Robinson, G E

2016-01-01

The discovery of toolkit genes, which are highly conserved genes that consistently regulate the development of similar morphological phenotypes across diverse species, is one of the most well-known observations in the field of evolutionary developmental biology. Surprisingly, this phenomenon is also relevant for a wide array of behavioral phenotypes, despite the fact that these phenotypes are highly complex and regulated by many genes operating in diverse tissues. In this chapter, we review the use of the toolkit concept in the context of behavior, noting the challenges of comparing behaviors and genes across diverse species, but emphasizing the successes in identifying genetic toolkits for behavior; these successes are largely attributable to the creative research approaches fueled by advances in behavioral genomics. We have two general goals: (1) to acknowledge the groundbreaking progress in this field, which offers new approaches to the difficult but exciting challenge of understanding the evolutionary genetic basis of behaviors, some of the most complex phenotypes known, and (2) to provide a theoretical framework that encompasses the scope of behavioral genetic toolkit studies in order to clearly articulate the research questions relevant to the toolkit concept. We emphasize areas for growth and highlight the emerging approaches that are being used to drive the field forward. Behavioral genetic toolkit research has elevated the use of integrative and comparative approaches in the study of behavior, with potentially broad implications for evolutionary biologists and behavioral ecologists alike. © 2016 Elsevier Inc. All rights reserved.

Wind Integration National Dataset (WIND) Toolkit; NREL (National Renewable Energy Laboratory)

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

Draxl, Caroline; Hodge, Bri-Mathias

A webinar about the Wind Integration National Dataset (WIND) Toolkit was presented by Bri-Mathias Hodge and Caroline Draxl on July 14, 2015. It was hosted by the Southern Alliance for Clean Energy. The toolkit is a grid integration data set that contains meteorological and power data at a 5-minute resolution across the continental United States for 7 years and hourly power forecasts.

Toolkit of Resources for Engaging Families and the Community as Partners in Education: Part 2: Building a Cultural Bridge. REL 2016-151

ERIC Educational Resources Information Center

Garcia, Maria Elena; Frunzi, Kay; Dean, Ceri B.; Flores, Nieves; Miller, Kirsten B.

2016-01-01

The Toolkit of Resources for Engaging Families and the Community as Partners in Education is a four-part resource that brings together research, promising practices, and useful tools and resources to guide educators in strengthening partnerships with families and community members to support student learning. The toolkit defines family and…

Semantic Web Technologies for Mobile Context-Aware Services

DTIC Science & Technology

2006-03-01

for Context-Aware Service Provisioning 6 Communication toolkit (http, e-mail, IM, etc.) User interaction manager Platform manager White & yellow ...NAICS] North American Industry Classification System , http://www.census.gov/epcd/www/naics.html [OS00] Opermann, R., and Specht , M., A Context...toolkit (http, e-mail, IM, etc.) User interaction manager Platform manager White & yellow pages MAS administration toolkit N ET W O R K knowledge

Toolkit of Resources for Engaging Parents and Community as Partners in Education. Part 3: Building Trusting Relationships with Families & Community through Effective Communication

ERIC Educational Resources Information Center

Regional Educational Laboratory Pacific, 2015

2015-01-01

This toolkit is designed to guide school staff in strengthening partnerships with families and community members to support student learning. This toolkit offers an integrated approach to family and community engagement, bringing together research, promising practices, and a wide range of useful tools and resources with explanations and directions…

The Bio-Community Perl toolkit for microbial ecology.

PubMed

Angly, Florent E; Fields, Christopher J; Tyson, Gene W

2014-07-01

The development of bioinformatic solutions for microbial ecology in Perl is limited by the lack of modules to represent and manipulate microbial community profiles from amplicon and meta-omics studies. Here we introduce Bio-Community, an open-source, collaborative toolkit that extends BioPerl. Bio-Community interfaces with commonly used programs using various file formats, including BIOM, and provides operations such as rarefaction and taxonomic summaries. Bio-Community will help bioinformaticians to quickly piece together custom analysis pipelines and develop novel software. Availability an implementation: Bio-Community is cross-platform Perl code available from http://search.cpan.org/dist/Bio-Community under the Perl license. A readme file describes software installation and how to contribute. © The Author 2014. Published by Oxford University Press.

Technical Note: DIRART – A software suite for deformable image registration and adaptive radiotherapy research

PubMed Central

Yang, Deshan; Brame, Scott; El Naqa, Issam; Aditya, Apte; Wu, Yu; Murty Goddu, S.; Mutic, Sasa; Deasy, Joseph O.; Low, Daniel A.

2011-01-01

Purpose: Recent years have witnessed tremendous progress in image guide radiotherapy technology and a growing interest in the possibilities for adapting treatment planning and delivery over the course of treatment. One obstacle faced by the research community has been the lack of a comprehensive open-source software toolkit dedicated for adaptive radiotherapy (ART). To address this need, the authors have developed a software suite called the Deformable Image Registration and Adaptive Radiotherapy Toolkit (DIRART). Methods:DIRART is an open-source toolkit developed in MATLAB. It is designed in an object-oriented style with focus on user-friendliness, features, and flexibility. It contains four classes of DIR algorithms, including the newer inverse consistency algorithms to provide consistent displacement vector field in both directions. It also contains common ART functions, an integrated graphical user interface, a variety of visualization and image-processing features, dose metric analysis functions, and interface routines. These interface routines make DIRART a powerful complement to the Computational Environment for Radiotherapy Research (CERR) and popular image-processing toolkits such as ITK. Results: DIRART provides a set of image processing∕registration algorithms and postprocessing functions to facilitate the development and testing of DIR algorithms. It also offers a good amount of options for DIR results visualization, evaluation, and validation. Conclusions: By exchanging data with treatment planning systems via DICOM-RT files and CERR, and by bringing image registration algorithms closer to radiotherapy applications, DIRART is potentially a convenient and flexible platform that may facilitate ART and DIR research. PMID:21361176

Reconsidering the culture and violence connection: strategies of action in the rural South.

PubMed

Lee, Matthew R; Ousey, Graham C

2011-03-01

Crime scholars have long conceptualized culture as a set of values that violence is used to defend or reinforce (i.e., honor). This analysis moves beyond this framework by conceptualizing culture as a toolkit providing strategies of action that individuals use to negotiate social situations. Qualitative data obtained from participant responses to vignettes describing potential conflict situations are analyzed to explore the merit of the cultural toolkit framework as it pertains to the "southern culture of violence" thesis. Contrary to the traditional culture as values model, these data indicate that interpersonal violence is a situationally viable response for diverse groups of people, including males and females, Blacks and Whites, the young and the older. The interplay between culture and social structure is also apparent. Although culture provides individuals with a toolkit, structural factors provide situations in which individuals must decide which cultural tools are most appropriately used. Violence is most viable when individuals feel that the police cannot be relied on and when they perceive that there is an imminent or potentially recurring threat to their family or themselves. Rarely is violent action justified to achieve overarching values, although values are clearly part of the toolkit that informs social action. Participants also frequently report that some segments of their community would consider violence to be an appropriate response even when they personally disagree with that assessment. This highlights the role of agency, where individual lines of action may be constructed independently from perceived community expectations, another major point of departure from the values model.

An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.

PubMed

Chen, Yi-An; Tripathi, Lokesh P; Mizuguchi, Kenji

2016-01-01

Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org. © The Author(s) 2016. Published by Oxford University Press.

An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework

PubMed Central

Chen, Yi-An; Tripathi, Lokesh P.; Mizuguchi, Kenji

2016-01-01

Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org PMID:26989145

Introducing GHOST: The Geospace/Heliosphere Observation & Simulation Tool-kit

NASA Astrophysics Data System (ADS)

Murphy, J. J.; Elkington, S. R.; Schmitt, P.; Wiltberger, M. J.; Baker, D. N.

2013-12-01

Simulation models of the heliospheric and geospace environments can provide key insights into the geoeffective potential of solar disturbances such as Coronal Mass Ejections and High Speed Solar Wind Streams. Advanced post processing of the results of these simulations greatly enhances the utility of these models for scientists and other researchers. Currently, no supported centralized tool exists for performing these processing tasks. With GHOST, we introduce a toolkit for the ParaView visualization environment that provides a centralized suite of tools suited for Space Physics post processing. Building on the work from the Center For Integrated Space Weather Modeling (CISM) Knowledge Transfer group, GHOST is an open-source tool suite for ParaView. The tool-kit plugin currently provides tools for reading LFM and Enlil data sets, and provides automated tools for data comparison with NASA's CDAweb database. As work progresses, many additional tools will be added and through open-source collaboration, we hope to add readers for additional model types, as well as any additional tools deemed necessary by the scientific public. The ultimate end goal of this work is to provide a complete Sun-to-Earth model analysis toolset.

PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R

PubMed Central

Huang, Ying; Li, Cao; Liu, Linhai; Jia, Xianbo; Lai, Song-Jia

2016-01-01

Although various computer tools have been elaborately developed to calculate a series of statistics in molecular population genetics for both small- and large-scale DNA data, there is no efficient and easy-to-use toolkit available yet for exclusively focusing on the steps of mathematical calculation. Here, we present PopSc, a bioinformatic toolkit for calculating 45 basic statistics in molecular population genetics, which could be categorized into three classes, including (i) genetic diversity of DNA sequences, (ii) statistical tests for neutral evolution, and (iii) measures of genetic differentiation among populations. In contrast to the existing computer tools, PopSc was designed to directly accept the intermediate metadata, such as allele frequencies, rather than the raw DNA sequences or genotyping results. PopSc is first implemented as the web-based calculator with user-friendly interface, which greatly facilitates the teaching of population genetics in class and also promotes the convenient and straightforward calculation of statistics in research. Additionally, we also provide the Python library and R package of PopSc, which can be flexibly integrated into other advanced bioinformatic packages of population genetics analysis. PMID:27792763

Developing a middleware to support HDF data access in ArcGIS

NASA Astrophysics Data System (ADS)

Sun, M.; Jiang, Y.; Yang, C. P.

2014-12-01

Hierarchical Data Format (HDF) is the standard data format for the NASA Earth Observing System (EOS) data products, like the MODIS level-3 data. These data have been widely used in long-term study of the land surface, biosphere, atmosphere, and oceans of the Earth. Several toolkits have been developed to access HDF data, such as the HDF viewer and Geospatial Data Abstraction Library (GDAL), etc. ArcGIS integrated the GDAL providing data user a Graphical User Interface (GUI) to read HDF data. However, there are still some problems when using the toolkits:for example, 1) the projection information is not recognized correctly, 2) the image is dispalyed inverted, and 3) the tool lacks of capability to read the third dimension information stored in the data subsets, etc. Accordingly, in this study we attempt to improve the current HDF toolkits to address the aformentioned issues. Considering the wide-usage of ArcGIS, we develop a middleware for ArcGIS based on GDAL to solve the particular data access problems happening in ArcGIS, so that data users can access HDF data successfully and perform further data analysis with the ArcGIS geoprocessing tools.

PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R.

PubMed

Chen, Shi-Yi; Deng, Feilong; Huang, Ying; Li, Cao; Liu, Linhai; Jia, Xianbo; Lai, Song-Jia

2016-01-01

Although various computer tools have been elaborately developed to calculate a series of statistics in molecular population genetics for both small- and large-scale DNA data, there is no efficient and easy-to-use toolkit available yet for exclusively focusing on the steps of mathematical calculation. Here, we present PopSc, a bioinformatic toolkit for calculating 45 basic statistics in molecular population genetics, which could be categorized into three classes, including (i) genetic diversity of DNA sequences, (ii) statistical tests for neutral evolution, and (iii) measures of genetic differentiation among populations. In contrast to the existing computer tools, PopSc was designed to directly accept the intermediate metadata, such as allele frequencies, rather than the raw DNA sequences or genotyping results. PopSc is first implemented as the web-based calculator with user-friendly interface, which greatly facilitates the teaching of population genetics in class and also promotes the convenient and straightforward calculation of statistics in research. Additionally, we also provide the Python library and R package of PopSc, which can be flexibly integrated into other advanced bioinformatic packages of population genetics analysis.

Toolkit of Available EPA Green Infrastructure Modeling ...

EPA Pesticide Factsheets

This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementation decisions. It can also be used for low impact development design competitions. Models and tools included: Green Infrastructure Wizard (GIWiz), Watershed Management Optimization Support Tool (WMOST), Visualizing Ecosystem Land Management Assessments (VELMA) Model, Storm Water Management Model (SWMM), and the National Stormwater Calculator (SWC). This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementation decisions. It can also be used for low impact development design competitions. Models and tools included: Green Infrastructure Wizard (GIWiz), Watershed Management Optimization Support Tool (WMOST), Visualizing Ecosystem Land Management Assessments (VELMA) Model, Storm Water Management Model (SWMM), and the National Stormwater Calculator (SWC).

Measures of Success for Earth System Science Education: The DLESE Evaluation Services and the Evaluation Toolkit Collection

NASA Astrophysics Data System (ADS)

McCaffrey, M. S.; Buhr, S. M.; Lynds, S.

2005-12-01

Increased agency emphasis upon the integration of research and education coupled with the ability to provide students with access to digital background materials, learning activities and primary data sources has begun to revolutionize Earth science education in formal and informal settings. The DLESE Evaluation Services team and the related Evaluation Toolkit collection (http://www.dlese.org/cms/evalservices/ ) provides services and tools for education project leads and educators. Through the Evaluation Toolkit, educators may access high-quality digital materials to assess students' cognitive gains, examples of alternative assessments, and case studies and exemplars of authentic research. The DLESE Evaluation Services team provides support for those who are developing evaluation plans on an as-requested basis. In addition, the Toolkit provides authoritative peer reviewed articlesabout evaluation research techniques and strategies of particular importance to geoscience education. This paper will provide an overview of the DLESE Evaluation Toolkit and discuss challenges and best practices for assessing student learning and evaluating Earth system sciences education in a digital world.

Respiratory Protection Toolkit: Providing Guidance Without Changing Requirements-Can We Make an Impact?

PubMed

Bien, Elizabeth Ann; Gillespie, Gordon Lee; Betcher, Cynthia Ann; Thrasher, Terri L; Mingerink, Donna R

2016-12-01

International travel and infectious respiratory illnesses worldwide place health care workers (HCWs) at increasing risk of respiratory exposures. To ensure the highest quality safety initiatives, one health care system used a quality improvement model of Plan-Do-Study-Act and guidance from Occupational Safety and Health Administration's (OSHA) May 2015 Hospital Respiratory Protection Program (RPP) Toolkit to assess a current program. The toolkit aided in identification of opportunities for improvement within their well-designed RPP. One opportunity was requiring respirator use during aerosol-generating procedures for specific infectious illnesses. Observation data demonstrated opportunities to mitigate controllable risks including strap placement, user seal check, and reuse of disposable N95 filtering facepiece respirators. Subsequent interdisciplinary collaboration resulted in other ideas to decrease risks and increase protection from potentially infectious respiratory illnesses. The toolkit's comprehensive document to evaluate the program showed that while the OSHA standards have not changed, the addition of the toolkit can better protect HCWs. © 2016 The Author(s).

Can a workbook work? Examining whether a practitioner evaluation toolkit can promote instrumental use.

PubMed

Campbell, Rebecca; Townsend, Stephanie M; Shaw, Jessica; Karim, Nidal; Markowitz, Jenifer

2015-10-01

In large-scale, multi-site contexts, developing and disseminating practitioner-oriented evaluation toolkits are an increasingly common strategy for building evaluation capacity. Toolkits explain the evaluation process, present evaluation design choices, and offer step-by-step guidance to practitioners. To date, there has been limited research on whether such resources truly foster the successful design, implementation, and use of evaluation findings. In this paper, we describe a multi-site project in which we developed a practitioner evaluation toolkit and then studied the extent to which the toolkit and accompanying technical assistance was effective in promoting successful completion of local-level evaluations and fostering instrumental use of the findings (i.e., whether programs directly used their findings to improve practice, see Patton, 2008). Forensic nurse practitioners from six geographically dispersed service programs completed methodologically rigorous evaluations; furthermore, all six programs used the findings to create programmatic and community-level changes to improve local practice. Implications for evaluation capacity building are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Virtual World of Visualization

NASA Technical Reports Server (NTRS)

1998-01-01

In 1990, Sterling Software, Inc., developed the Flow Analysis Software Toolkit (FAST) for NASA Ames on contract. FAST is a workstation based modular analysis and visualization tool. It is used to visualize and animate grids and grid oriented data, typically generated by finite difference, finite element and other analytical methods. FAST is now available through COSMIC, NASA's software storehouse.

VoroTop: Voronoi cell topology visualization and analysis toolkit

NASA Astrophysics Data System (ADS)

Lazar, Emanuel A.

2018-01-01

This paper introduces a new open-source software program called VoroTop, which uses Voronoi topology to analyze local structure in atomic systems. Strengths of this approach include its abilities to analyze high-temperature systems and to characterize complex structure such as grain boundaries. This approach enables the automated analysis of systems and mechanisms previously not possible.

Crux: Rapid Open Source Protein Tandem Mass Spectrometry Analysis

PubMed Central

2015-01-01

Efficiently and accurately analyzing big protein tandem mass spectrometry data sets requires robust software that incorporates state-of-the-art computational, machine learning, and statistical methods. The Crux mass spectrometry analysis software toolkit (http://cruxtoolkit.sourceforge.net) is an open source project that aims to provide users with a cross-platform suite of analysis tools for interpreting protein mass spectrometry data. PMID:25182276

Automated Neuropsychological Assessment Metrics, Version 4 (ANAM4): Examination of Select Psychometric Properties and Administration Procedures

DTIC Science & Technology

2016-12-01

2017 was approved in August 2016. The supplemental project has 2 primary objectives: • Recommend cognitive assessment tools/approaches ( toolkit ) from...strategies for use in future military-relevant environments The supplemental project has two primary deliverables: • Proposed Toolkit of cognitive...6 Vet Final Report and Cognitive performance recommendations through Steering Committee Task 7 Provide Toolkit Report 16 Months 8-12 Task 8

Toolkit of Resources for Engaging Families and the Community as Partners in Education. Part 1: Building an Understanding of Family and Community Engagement. REL 2016-148

ERIC Educational Resources Information Center

Garcia, Maria Elena; Frunzi, Kay; Dean, Ceri B.; Flores, Nieves; Miller, Kirsten B.

2016-01-01

The Toolkit of Resources for Engaging Families and the Community as Partners in Education is a four-part resource that brings together research, promising practices, and useful tools and resources to guide educators in strengthening partnerships with families and community members to support student learning. The toolkit defines family and…

Toolkit of Resources for Engaging Families and the Community as Partners in Education: Part 3: Building Trusting Relationships with Families and the Community through Effective Communication. REL 2016-152

ERIC Educational Resources Information Center

Garcia, Maria Elena; Frunzi, Kay; Dean, Ceri B.; Flores, Nieves; Miller, Kirsten B.

2016-01-01

The Toolkit of Resources for Engaging Families and the Community as Partners in Education is a four-part resource that brings together research, promising practices, and useful tools and resources to guide educators in strengthening partnerships with families and community members to support student learning. The toolkit defines family and…

BRDF profile of Tyvek and its implementation in the Geant4 simulation toolkit.

PubMed

Nozka, Libor; Pech, Miroslav; Hiklova, Helena; Mandat, Dusan; Hrabovsky, Miroslav; Schovanek, Petr; Palatka, Miroslav

2011-02-28

Diffuse and specular characteristics of the Tyvek 1025-BL material are reported with respect to their implementation in the Geant4 Monte Carlo simulation toolkit. This toolkit incorporates the UNIFIED model. Coefficients defined by the UNIFIED model were calculated from the bidirectional reflectance distribution function (BRDF) profiles measured with a scatterometer for several angles of incidence. Results were amended with profile measurements made by a profilometer.

The development of an artificial organic networks toolkit for LabVIEW.

PubMed

Ponce, Hiram; Ponce, Pedro; Molina, Arturo

2015-03-15

Two of the most challenging problems that scientists and researchers face when they want to experiment with new cutting-edge algorithms are the time-consuming for encoding and the difficulties for linking them with other technologies and devices. In that sense, this article introduces the artificial organic networks toolkit for LabVIEW™ (AON-TL) from the implementation point of view. The toolkit is based on the framework provided by the artificial organic networks technique, giving it the potential to add new algorithms in the future based on this technique. Moreover, the toolkit inherits both the rapid prototyping and the easy-to-use characteristics of the LabVIEW™ software (e.g., graphical programming, transparent usage of other softwares and devices, built-in programming event-driven for user interfaces), to make it simple for the end-user. In fact, the article describes the global architecture of the toolkit, with particular emphasis in the software implementation of the so-called artificial hydrocarbon networks algorithm. Lastly, the article includes two case studies for engineering purposes (i.e., sensor characterization) and chemistry applications (i.e., blood-brain barrier partitioning data model) to show the usage of the toolkit and the potential scalability of the artificial organic networks technique. © 2015 Wiley Periodicals, Inc.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

PubMed Central

Masanz, James J; Ogren, Philip V; Zheng, Jiaping; Sohn, Sunghwan; Kipper-Schuler, Karin C; Chute, Christopher G

2010-01-01

We aim to build and evaluate an open-source natural language processing system for information extraction from electronic medical record clinical free-text. We describe and evaluate our system, the clinical Text Analysis and Knowledge Extraction System (cTAKES), released open-source at http://www.ohnlp.org. The cTAKES builds on existing open-source technologies—the Unstructured Information Management Architecture framework and OpenNLP natural language processing toolkit. Its components, specifically trained for the clinical domain, create rich linguistic and semantic annotations. Performance of individual components: sentence boundary detector accuracy=0.949; tokenizer accuracy=0.949; part-of-speech tagger accuracy=0.936; shallow parser F-score=0.924; named entity recognizer and system-level evaluation F-score=0.715 for exact and 0.824 for overlapping spans, and accuracy for concept mapping, negation, and status attributes for exact and overlapping spans of 0.957, 0.943, 0.859, and 0.580, 0.939, and 0.839, respectively. Overall performance is discussed against five applications. The cTAKES annotations are the foundation for methods and modules for higher-level semantic processing of clinical free-text. PMID:20819853

[From complexity to simplification: contribution of the EPM Research Unit to producing a toolkit for risk assessment and management of biomechanical overload and WMSDs prevention].

PubMed

Occhipinti, E; Colombini, Daniela

2011-01-01

When studying musculoskeletal disorders and their connection with working conditions (WMSDs), several factors of different nature (mechanical, organizational, psychophysical, individual) and their interrelationship have been considered important in general models for epidemiologic surveys and risk assessment and management. Hence the necessity of a "holistic" (that is to say complex, global, multifactorial and interdisciplinary) approach to MSD prevention, especially when establishing technical norms, guidelines and strategic plans of action at national or international level. On the other hand, considering the widespread presence of these factors and WMSDs in many working contexts, there is a great demand by OSH agencies and operators to develop "simple" tools for risk assessment and management, usable also by non-experts in both developed and developing countries. Both these needs are perfectly justified but are also to a certain extent in conflict. How can we address the problem, i.e., simplify complexity? METHODS AND CRITERIA: The proposals are based on two essential criteria: 1) Act on a step-by-step approach using basic tools first and more complex tools only when necessary. 2) Take into account the complexity and the presence of multiple influencing factors at every step (even if with different degrees of in-depth analysis). The proposals are mainly developed within the framework of an IEA-WHO collaboration initiative for a "Toolkit for MSD prevention" but they are also derived from other converging issues (i.e. ISO application document of LSO series 11228 on manual handling). The proposals consider: 1) A Basic Step devoted to preliminary occupational hazard identification and priority check by operative "key enter" questions (at this step all potential hazards--including those influencing WMSDs--should be considered). This step also can be carried out by non-experts with limited training. 2) First Step, focused on WMSDs risk factors, consisting of a "quick assessment" and mainly addressed to identifying 3 possible conditions: acceptable/no consequences; high risk present/redesign urgently needed; a more detailed analysis (via tools proposed in second step) is necessary. This step can also be carried out by non-experts with only limited training. 3) Second Step, where recognized tools (i.e. from international standards or guidelines) for risk (of WMSDs) estimation are used as a consequence of the first step outcome. Examples of such tools are "adaptations" of the Revised NIOSH Lifting Equation, Liberty Mutual Psychophysical Tables, OCRA Checklist, etc. These tools should be able to adequately take account of most of the influencing factors. For some particular working sectors (i.e. agriculture) these tools need to be specifically adapted. For particular working sectors a database could be envisaged where the most common tasks (with their "variants") are "intrinsically" evaluated by experts and could provide non-experts with the relevant knowledge to be applied to the specific work context. This step can be carried out only by persons with some sort of specific training.

Practice Doesn't Always Make Perfect: A Qualitative Study Explaining Why a Trial of an Educational Toolkit Did Not Improve Quality of Care.

PubMed

Parsons, Janet A; Yu, Catherine H Y; Baker, Natalie A; Mamdani, Muhammad M; Bhattacharyya, Onil; Zwarenstein, Merrick; Shah, Baiju R

2016-01-01

Diabetes is a chronic disease commonly managed by family physicians, with the most prevalent complication being cardiovascular disease (CVD). Clinical practice guidelines have been developed to support clinicians in the care of diabetic patients. We conducted a pragmatic cluster randomized controlled trial (RCT) of a printed educational toolkit aimed at improving CVD management in diabetes in primary care, and found no effect, and indeed, the possibility of some harm. We conducted a qualitative evaluation to study the strategy for guideline implementation employed in this trial, and to understand its effects. This paper focuses solely on the qualitative findings, as the RCT's quantitative results have already been reported elsewhere. All family practices in the province of Ontario had been randomized to receive the educational toolkit by mail, in either the summer of 2009 (intervention arm) or the spring of 2010 (control arm).A subset of 80 family physicians (representing approximately 10% of the practices randomized and approached, with records on 1,592 randomly selected patients with diabetes at high risk for CVD) then took part in a chart audit and reflective feedback exercise related to their own practice in comparison to the guideline recommendations. They were asked to complete two forms (one pre- and one post-audit) in order to understand their awareness of the guidelines pre-trial, their expectations regarding their individual performance pre-audit, and their reflections on their audit results. In addition, individual interviews with thirteen other family physicians were conducted. Textual data from interview transcripts and written commentary from the pre- and post-audit forms underwent qualitative descriptive analysis to identify common themes and patterns. Analysis revealed four main themes: impressions of the toolkit, awareness was not the issue, 'it's not me it's my patients', and chart audit as a more effective intervention than the toolkit. Participants saw neither the toolkit content nor its dissemination strategy to be effective, indicating they perceived themselves to be aware of the guidelines pre-trial. However, their accounts also indicated that they may be struggling to prioritize CVD management in the midst of competing demands for their attention. Upon receiving their chart audit results, many participants expressed surprise that they had not performed better. They reported that the audit results would be an important motivator for behaviour change. The qualitative findings outlined in this paper offer important insights into why the intervention was not effective. They also demonstrate that physicians have unperceived needs relative to CVD management and that the chart audit served to identify shortcomings in their practice of which they had been hitherto unaware. The findings also indicate that new methods of intervention development and implementation should be explored. This is important given the high prevalence of diabetes worldwide; appropriate CVD management is critical to addressing the morbidity and mortality associated with the disease.

Kekule.js: An Open Source JavaScript Chemoinformatics Toolkit.

PubMed

Jiang, Chen; Jin, Xi; Dong, Ying; Chen, Ming

2016-06-27

Kekule.js is an open-source, object-oriented JavaScript toolkit for chemoinformatics. It provides methods for many common tasks in molecular informatics, including chemical data input/output (I/O), two- and three-dimensional (2D/3D) rendering of chemical structure, stereo identification, ring perception, structure comparison, and substructure search. Encapsulated widgets to display and edit chemical structures directly in web context are also supplied. Developed with web standards, the toolkit is ideal for building chemoinformatics applications over the Internet. Moreover, it is highly platform-independent and can also be used in desktop or mobile environments. Some initial applications, such as plugins for inputting chemical structures on the web and uses in chemistry education, have been developed based on the toolkit.

bioWidgets: data interaction components for genomics.

PubMed

Fischer, S; Crabtree, J; Brunk, B; Gibson, M; Overton, G C

1999-10-01

The presentation of genomics data in a perspicuous visual format is critical for its rapid interpretation and validation. Relatively few public database developers have the resources to implement sophisticated front-end user interfaces themselves. Accordingly, these developers would benefit from a reusable toolkit of user interface and data visualization components. We have designed the bioWidget toolkit as a set of JavaBean components. It includes a wide array of user interface components and defines an architecture for assembling applications. The toolkit is founded on established software engineering design patterns and principles, including componentry, Model-View-Controller, factored models and schema neutrality. As a proof of concept, we have used the bioWidget toolkit to create three extendible applications: AnnotView, BlastView and AlignView.

SHARP pre-release v1.0 - Current Status and Documentation

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

Mahadevan, Vijay S.; Rahaman, Ronald O.

The NEAMS Reactor Product Line effort aims to develop an integrated multiphysics simulation capability for the design and analysis of future generations of nuclear power plants. The Reactor Product Line code suite’s multi-resolution hierarchy is being designed to ultimately span the full range of length and time scales present in relevant reactor design and safety analyses, as well as scale from desktop to petaflop computing platforms. In this report, building on a several previous report issued in September 2014, we describe our continued efforts to integrate thermal/hydraulics, neutronics, and structural mechanics modeling codes to perform coupled analysis of a representativemore » fast sodium-cooled reactor core in preparation for a unified release of the toolkit. The work reported in the current document covers the software engineering aspects of managing the entire stack of components in the SHARP toolkit and the continuous integration efforts ongoing to prepare a release candidate for interested reactor analysis users. Here we report on the continued integration effort of PROTEUS/Nek5000 and Diablo into the NEAMS framework and the software processes that enable users to utilize the capabilities without losing scientific productivity. Due to the complexity of the individual modules and their necessary/optional dependency library chain, we focus on the configuration and build aspects for the SHARP toolkit, which includes capability to autodownload dependencies and configure/install with optimal flags in an architecture-aware fashion. Such complexity is untenable without strong software engineering processes such as source management, source control, change reviews, unit tests, integration tests and continuous test suites. Details on these processes are provided in the report as a building step for a SHARP user guide that will accompany the first release, expected by Mar 2016.« less

Ten years of maintaining and expanding a microbial genome and metagenome analysis system.

PubMed

Markowitz, Victor M; Chen, I-Min A; Chu, Ken; Pati, Amrita; Ivanova, Natalia N; Kyrpides, Nikos C

2015-11-01

Launched in March 2005, the Integrated Microbial Genomes (IMG) system is a comprehensive data management system that supports multidimensional comparative analysis of genomic data. At the core of the IMG system is a data warehouse that contains genome and metagenome datasets sequenced at the Joint Genome Institute or provided by scientific users, as well as public genome datasets available at the National Center for Biotechnology Information Genbank sequence data archive. Genomes and metagenome datasets are processed using IMG's microbial genome and metagenome sequence data processing pipelines and are integrated into the data warehouse using IMG's data integration toolkits. Microbial genome and metagenome application specific data marts and user interfaces provide access to different subsets of IMG's data and analysis toolkits. This review article revisits IMG's original aims, highlights key milestones reached by the system during the past 10 years, and discusses the main challenges faced by a rapidly expanding system, in particular the complexity of maintaining such a system in an academic setting with limited budgets and computing and data management infrastructure. Copyright © 2015 Elsevier Ltd. All rights reserved.

BCM: toolkit for Bayesian analysis of Computational Models using samplers.

PubMed

Thijssen, Bram; Dijkstra, Tjeerd M H; Heskes, Tom; Wessels, Lodewyk F A

2016-10-21

Computational models in biology are characterized by a large degree of uncertainty. This uncertainty can be analyzed with Bayesian statistics, however, the sampling algorithms that are frequently used for calculating Bayesian statistical estimates are computationally demanding, and each algorithm has unique advantages and disadvantages. It is typically unclear, before starting an analysis, which algorithm will perform well on a given computational model. We present BCM, a toolkit for the Bayesian analysis of Computational Models using samplers. It provides efficient, multithreaded implementations of eleven algorithms for sampling from posterior probability distributions and for calculating marginal likelihoods. BCM includes tools to simplify the process of model specification and scripts for visualizing the results. The flexible architecture allows it to be used on diverse types of biological computational models. In an example inference task using a model of the cell cycle based on ordinary differential equations, BCM is significantly more efficient than existing software packages, allowing more challenging inference problems to be solved. BCM represents an efficient one-stop-shop for computational modelers wishing to use sampler-based Bayesian statistics.

Pyicos: a versatile toolkit for the analysis of high-throughput sequencing data.

PubMed

Althammer, Sonja; González-Vallinas, Juan; Ballaré, Cecilia; Beato, Miguel; Eyras, Eduardo

2011-12-15

High-throughput sequencing (HTS) has revolutionized gene regulation studies and is now fundamental for the detection of protein-DNA and protein-RNA binding, as well as for measuring RNA expression. With increasing variety and sequencing depth of HTS datasets, the need for more flexible and memory-efficient tools to analyse them is growing. We describe Pyicos, a powerful toolkit for the analysis of mapped reads from diverse HTS experiments: ChIP-Seq, either punctuated or broad signals, CLIP-Seq and RNA-Seq. We prove the effectiveness of Pyicos to select for significant signals and show that its accuracy is comparable and sometimes superior to that of methods specifically designed for each particular type of experiment. Pyicos facilitates the analysis of a variety of HTS datatypes through its flexibility and memory efficiency, providing a useful framework for data integration into models of regulatory genomics. Open-source software, with tutorials and protocol files, is available at http://regulatorygenomics.upf.edu/pyicos or as a Galaxy server at http://regulatorygenomics.upf.edu/galaxy eduardo.eyras@upf.edu Supplementary data are available at Bioinformatics online.

Biomechanical ToolKit: Open-source framework to visualize and process biomechanical data.

PubMed

Barre, Arnaud; Armand, Stéphane

2014-04-01

C3D file format is widely used in the biomechanical field by companies and laboratories to store motion capture systems data. However, few software packages can visualize and modify the integrality of the data in the C3D file. Our objective was to develop an open-source and multi-platform framework to read, write, modify and visualize data from any motion analysis systems using standard (C3D) and proprietary file formats (used by many companies producing motion capture systems). The Biomechanical ToolKit (BTK) was developed to provide cost-effective and efficient tools for the biomechanical community to easily deal with motion analysis data. A large panel of operations is available to read, modify and process data through C++ API, bindings for high-level languages (Matlab, Octave, and Python), and standalone application (Mokka). All these tools are open-source and cross-platform and run on all major operating systems (Windows, Linux, MacOS X). Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

BioPig: a Hadoop-based analytic toolkit for large-scale sequence data.

PubMed

Nordberg, Henrik; Bhatia, Karan; Wang, Kai; Wang, Zhong

2013-12-01

The recent revolution in sequencing technologies has led to an exponential growth of sequence data. As a result, most of the current bioinformatics tools become obsolete as they fail to scale with data. To tackle this 'data deluge', here we introduce the BioPig sequence analysis toolkit as one of the solutions that scale to data and computation. We built BioPig on the Apache's Hadoop MapReduce system and the Pig data flow language. Compared with traditional serial and MPI-based algorithms, BioPig has three major advantages: first, BioPig's programmability greatly reduces development time for parallel bioinformatics applications; second, testing BioPig with up to 500 Gb sequences demonstrates that it scales automatically with size of data; and finally, BioPig can be ported without modification on many Hadoop infrastructures, as tested with Magellan system at National Energy Research Scientific Computing Center and the Amazon Elastic Compute Cloud. In summary, BioPig represents a novel program framework with the potential to greatly accelerate data-intensive bioinformatics analysis.

Facilitating interprofessional evidence-based practice in paediatric rehabilitation: development, implementation and evaluation of an online toolkit for health professionals.

PubMed

Glegg, Stephanie M N; Livingstone, Roslyn; Montgomery, Ivonne

2016-01-01

Lack of time, competencies, resources and supports are documented as barriers to evidence-based practice (EBP). This paper introduces a recently developed web-based toolkit designed to assist interprofessional clinicians in implementing EBP within a paediatric rehabilitation setting. EBP theory, models, frameworks and tools were applied or adapted in the development of the online resources, which formed the basis of a larger support strategy incorporating interactive workshops, knowledge broker facilitation and mentoring. The highly accessed toolkit contains flowcharts with embedded information sheets, resources and templates to streamline, quantify and document outcomes throughout the EBP process. Case examples relevance to occupational therapy and physical therapy highlight the utility and application of the toolkit in a clinical paediatric setting. Workshops were highly rated by learners for clinical relevance, presentation level and effectiveness. Eight evidence syntheses have been created and 79 interventions have been evaluated since the strategy's inception in January 2011. The toolkit resources streamlined and supported EBP processes, promoting consistency in quality and presentation of outputs. The online toolkit can be a useful tool to facilitate clinicians' use of EBP in order to meet the needs of the clients and families whom they support. Implications for Rehabilitation A comprehensive online EBP toolkit for interprofessional clinicians is available to streamline the EBP process and to support learning needs regardless of competency level. Multi-method facilitation support, including interactive education, e-learning, clinical librarian services and knowledge brokering, is a valued but cost-restrictive supplement to the implementation of online EBP resources. EBP resources are not one-size-fits-all; targeted appraisal tools, models and frameworks may be integrated to improve their utility for specific sectors, which may limit them for others.

Using stakeholder perspectives to develop an ePrescribing toolkit for NHS Hospitals: a questionnaire study.

PubMed

Lee, Lisa; Cresswell, Kathrin; Slee, Ann; Slight, Sarah P; Coleman, Jamie; Sheikh, Aziz

2014-10-01

To evaluate how an online toolkit may support ePrescribing deployments in National Health Service hospitals, by assessing the type of knowledge-based resources currently sought by key stakeholders. Questionnaire-based survey of attendees at a national ePrescribing symposium. 2013 National ePrescribing Symposium in London, UK. Eighty-four delegates were eligible for inclusion in the survey, of whom 70 completed and returned the questionnaire. Estimate of the usefulness and type of content to be included in an ePrescribing toolkit. Interest in a toolkit designed to support the implementation and use of ePrescribing systems was high (n = 64; 91.4%). As could be expected given the current dearth of such a resource, few respondents (n = 2; 2.9%) had access or used an ePrescribing toolkit at the time of the survey. Anticipated users for the toolkit included implementation (n = 62; 88.6%) and information technology (n = 61; 87.1%) teams, pharmacists (n = 61; 87.1%), doctors (n = 58; 82.9%) and nurses (n = 56; 80.0%). Summary guidance for every stage of the implementation (n = 48; 68.6%), planning and monitoring tools (n = 47; 67.1%) and case studies of hospitals' experiences (n = 45; 64.3%) were considered the most useful types of content. There is a clear need for reliable and up-to-date knowledge to support ePrescribing system deployments and longer term use. The findings highlight how a toolkit may become a useful instrument for the management of knowledge in the field, not least by allowing the exchange of ideas and shared learning.

The PRIDE (Partnership to Improve Diabetes Education) Toolkit: Development and Evaluation of Novel Literacy and Culturally Sensitive Diabetes Education Materials.

PubMed

Wolff, Kathleen; Chambers, Laura; Bumol, Stefan; White, Richard O; Gregory, Becky Pratt; Davis, Dianne; Rothman, Russell L

2016-02-01

Patients with low literacy, low numeracy, and/or linguistic needs can experience challenges understanding diabetes information and applying concepts to their self-management. The authors designed a toolkit of education materials that are sensitive to patients' literacy and numeracy levels, language preferences, and cultural norms and that encourage shared goal setting to improve diabetes self-management and health outcomes. The Partnership to Improve Diabetes Education (PRIDE) toolkit was developed to facilitate diabetes self-management education and support. The PRIDE toolkit includes a comprehensive set of 30 interactive education modules in English and Spanish to support diabetes self-management activities. The toolkit builds upon the authors' previously validated Diabetes Literacy and Numeracy Education Toolkit (DLNET) by adding a focus on shared goal setting, addressing the needs of Spanish-speaking patients, and including a broader range of diabetes management topics. Each PRIDE module was evaluated using the Suitability Assessment of Materials (SAM) instrument to determine the material's cultural appropriateness and its sensitivity to the needs of patients with low literacy and low numeracy. Reading grade level was also assessed using the Automated Readability Index (ARI), Coleman-Liau, Flesch-Kincaid, Fry, and SMOG formulas. The average reading grade level of the materials was 5.3 (SD 1.0), with a mean SAM of 91.2 (SD 5.4). All of the 30 modules received a "superior" score (SAM >70%) when evaluated by 2 independent raters. The PRIDE toolkit modules can be used by all members of a multidisciplinary team to assist patients with low literacy and low numeracy in managing their diabetes. © 2015 The Author(s).

Does the Good Schools Toolkit Reduce Physical, Sexual and Emotional Violence, and Injuries, in Girls and Boys equally? A Cluster-Randomised Controlled Trial.

PubMed

Devries, Karen M; Knight, Louise; Allen, Elizabeth; Parkes, Jenny; Kyegombe, Nambusi; Naker, Dipak

2017-10-01

We aimed to investigate whether the Good School Toolkit reduced emotional violence, severe physical violence, sexual violence and injuries from school staff to students, as well as emotional, physical and sexual violence between peers, in Ugandan primary schools. We performed a two-arm cluster randomised controlled trial with parallel assignment. Forty-two schools in one district were allocated to intervention (n = 21) or wait-list control (n = 21) arms in 2012. We did cross-sectional baseline and endline surveys in 2012 and 2014, and the Good School Toolkit intervention was implemented for 18 months between surveys. Analyses were by intention to treat and are adjusted for clustering within schools and for baseline school-level proportions of outcomes. The Toolkit was associated with an overall reduction in any form of violence from staff and/or peers in the past week towards both male (aOR = 0.34, 95%CI 0.22-0.53) and female students (aOR = 0.55, 95%CI 0.36-0.84). Injuries as a result of violence from school staff were also lower in male (aOR = 0.36, 95%CI 0.20-0.65) and female students (aOR = 0.51, 95%CI 0.29-0.90). Although the Toolkit seems to be effective at reducing violence in both sexes, there is some suggestion that the Toolkit may have stronger effects in boys than girls. The Toolkit is a promising intervention to reduce a wide range of different forms of violence from school staff and between peers in schools, and should be urgently considered for scale-up. Further research is needed to investigate how the intervention could engage more successfully with girls.

Improving the Effectiveness of Medication Review: Guidance from the Health Literacy Universal Precautions Toolkit.

PubMed

Weiss, Barry D; Brega, Angela G; LeBlanc, William G; Mabachi, Natabhona M; Barnard, Juliana; Albright, Karen; Cifuentes, Maribel; Brach, Cindy; West, David R

2016-01-01

Although routine medication reviews in primary care practice are recommended to identify drug therapy problems, it is often difficult to get patients to bring all their medications to office visits. The objective of this study was to determine whether the medication review tool in the Agency for Healthcare Research and Quality Health Literacy Universal Precautions Toolkit can help to improve medication reviews in primary care practices. The toolkit's "Brown Bag Medication Review" was implemented in a rural private practice in Missouri and an urban teaching practice in California. Practices recorded outcomes of medication reviews with 45 patients before toolkit implementation and then changed their medication review processes based on guidance in the toolkit. Six months later we conducted interviews with practice staff to identify changes made as a result of implementing the tool, and practices recorded outcomes of medication reviews with 41 additional patients. Data analyses compared differences in whether all medications were brought to visits, the number of medications reviewed, drug therapy problems identified, and changes in medication regimens before and after implementation. Interviews revealed that practices made the changes recommended in the toolkit to encourage patients to bring medications to office visits. Evaluation before and after implementation revealed a 3-fold increase in the percentage of patients who brought all their prescription medications and a 6-fold increase in the number of prescription medications brought to office visits. The percentage of reviews in which drug therapy problems were identified doubled, as did the percentage of medication regimens revised. Use of the Health Literacy Universal Precautions Toolkit can help to identify drug therapy problems. © Copyright 2016 by the American Board of Family Medicine.

Using stakeholder perspectives to develop an ePrescribing toolkit for NHS Hospitals: a questionnaire study

PubMed Central

Cresswell, Kathrin; Slee, Ann; Slight, Sarah P; Coleman, Jamie; Sheikh, Aziz

2014-01-01

Summary Objective To evaluate how an online toolkit may support ePrescribing deployments in National Health Service hospitals, by assessing the type of knowledge-based resources currently sought by key stakeholders. Design Questionnaire-based survey of attendees at a national ePrescribing symposium. Setting 2013 National ePrescribing Symposium in London, UK. Participants Eighty-four delegates were eligible for inclusion in the survey, of whom 70 completed and returned the questionnaire. Main outcome measures Estimate of the usefulness and type of content to be included in an ePrescribing toolkit. Results Interest in a toolkit designed to support the implementation and use of ePrescribing systems was high (n = 64; 91.4%). As could be expected given the current dearth of such a resource, few respondents (n = 2; 2.9%) had access or used an ePrescribing toolkit at the time of the survey. Anticipated users for the toolkit included implementation (n = 62; 88.6%) and information technology (n = 61; 87.1%) teams, pharmacists (n = 61; 87.1%), doctors (n = 58; 82.9%) and nurses (n = 56; 80.0%). Summary guidance for every stage of the implementation (n = 48; 68.6%), planning and monitoring tools (n = 47; 67.1%) and case studies of hospitals’ experiences (n = 45; 64.3%) were considered the most useful types of content. Conclusions There is a clear need for reliable and up-to-date knowledge to support ePrescribing system deployments and longer term use. The findings highlight how a toolkit may become a useful instrument for the management of knowledge in the field, not least by allowing the exchange of ideas and shared learning. PMID:25383199

Toward a Shared Vocabulary for Visual Analysis: An Analytic Toolkit for Deconstructing the Visual Design of Graphic Novels

ERIC Educational Resources Information Center

Connors, Sean P.

2012-01-01

Literacy educators might advocate using graphic novels to develop students' visual literacy skills, but teachers who lack a vocabulary for engaging in close analysis of visual texts may be reluctant to teach them. Recognizing this, teacher educators should equip preservice teachers with a vocabulary for analyzing visual texts. This article…

Validation and Verification of Operational Land Analysis Activities at the Air Force Weather Agency

NASA Technical Reports Server (NTRS)

Shaw, Michael; Kumar, Sujay V.; Peters-Lidard, Christa D.; Cetola, Jeffrey

2012-01-01

The NASA developed Land Information System (LIS) is the Air Force Weather Agency's (AFWA) operational Land Data Assimilation System (LDAS) combining real time precipitation observations and analyses, global forecast model data, vegetation, terrain, and soil parameters with the community Noah land surface model, along with other hydrology module options, to generate profile analyses of global soil moisture, soil temperature, and other important land surface characteristics. (1) A range of satellite data products and surface observations used to generate the land analysis products (2) Global, 1/4 deg spatial resolution (3) Model analysis generated at 3 hours. AFWA recognizes the importance of operational benchmarking and uncertainty characterization for land surface modeling and is developing standard methods, software, and metrics to verify and/or validate LIS output products. To facilitate this and other needs for land analysis activities at AFWA, the Model Evaluation Toolkit (MET) -- a joint product of the National Center for Atmospheric Research Developmental Testbed Center (NCAR DTC), AFWA, and the user community -- and the Land surface Verification Toolkit (LVT), developed at the Goddard Space Flight Center (GSFC), have been adapted to operational benchmarking needs of AFWA's land characterization activities.

Analyzing microtomography data with Python and the scikit-image library.

PubMed

Gouillart, Emmanuelle; Nunez-Iglesias, Juan; van der Walt, Stéfan

2017-01-01

The exploration and processing of images is a vital aspect of the scientific workflows of many X-ray imaging modalities. Users require tools that combine interactivity, versatility, and performance. scikit-image is an open-source image processing toolkit for the Python language that supports a large variety of file formats and is compatible with 2D and 3D images. The toolkit exposes a simple programming interface, with thematic modules grouping functions according to their purpose, such as image restoration, segmentation, and measurements. scikit-image users benefit from a rich scientific Python ecosystem that contains many powerful libraries for tasks such as visualization or machine learning. scikit-image combines a gentle learning curve, versatile image processing capabilities, and the scalable performance required for the high-throughput analysis of X-ray imaging data.

Atrioventricular junction (AVJ) motion tracking: a software tool with ITK/VTK/Qt.

PubMed

Pengdong Xiao; Shuang Leng; Xiaodan Zhao; Hua Zou; Ru San Tan; Wong, Philip; Liang Zhong

2016-08-01

The quantitative measurement of the Atrioventricular Junction (AVJ) motion is an important index for ventricular functions of one cardiac cycle including systole and diastole. In this paper, a software tool that can conduct AVJ motion tracking from cardiovascular magnetic resonance (CMR) images is presented by using Insight Segmentation and Registration Toolkit (ITK), The Visualization Toolkit (VTK) and Qt. The software tool is written in C++ by using Visual Studio Community 2013 integrated development environment (IDE) containing both an editor and a Microsoft complier. The software package has been successfully implemented. From the software engineering practice, it is concluded that ITK, VTK, and Qt are very handy software systems to implement automatic image analysis functions for CMR images such as quantitative measure of motion by visual tracking.

Pcetk: A pDynamo-based Toolkit for Protonation State Calculations in Proteins.

PubMed

Feliks, Mikolaj; Field, Martin J

2015-10-26

Pcetk (a pDynamo-based continuum electrostatic toolkit) is an open-source, object-oriented toolkit for the calculation of proton binding energetics in proteins. The toolkit is a module of the pDynamo software library, combining the versatility of the Python scripting language and the efficiency of the compiled languages, C and Cython. In the toolkit, we have connected pDynamo to the external Poisson-Boltzmann solver, extended-MEAD. Our goal was to provide a modern and extensible environment for the calculation of protonation states, electrostatic energies, titration curves, and other electrostatic-dependent properties of proteins. Pcetk is freely available under the CeCILL license, which is compatible with the GNU General Public License. The toolkit can be found on the Web at the address http://github.com/mfx9/pcetk. The calculation of protonation states in proteins requires a knowledge of pKa values of protonatable groups in aqueous solution. However, for some groups, such as protonatable ligands bound to protein, the pKa aq values are often difficult to obtain from experiment. As a complement to Pcetk, we revisit an earlier computational method for the estimation of pKa aq values that has an accuracy of ± 0.5 pKa-units or better. Finally, we verify the Pcetk module and the method for estimating pKa aq values with different model cases.

Effect of STOP technique on safety climate in a construction company.

PubMed

Darvishi, Ebrahim; Maleki, Afshin; Dehestaniathar, Saeed; Ebrahemzadih, Mehrzad

2015-01-01

Safety programs are a core part of safety management in workplaces that can reduce incidents and injuries. The aim of this study was to investigate the influence of Safety Training Observation Program (STOP) technique as a behavior modification program on safety climate in a construction company. This cross-sectional study was carried out on workers of the Petrochemical Construction Company, western Iran. In order to improve safety climate, an unsafe behavior modification program entitled STOP was launched among workers of project during 12 months from April 2013 and April 2014. The STOP technique effectiveness in creating a positive safety climate was evaluated using the Safety Climate Assessment Toolkit. 76.78% of total behaviors were unsafe. 54.76% of total unsafe acts/ at-risk behaviors were related to the fall hazard. The most cause of unsafe behaviors was associated with habit and unavailability of safety equipment. After 12 month of continuous implementation the STOP technique, 55.8% of unsafe behaviors reduced among workers. The average score of safety climate evaluated using of the Toolkit, before and after the implementation of the STOP technique was 5.77 and 7.24, respectively. The STOP technique can be considered as effective approach for eliminating at-risk behavior, reinforcing safe work practices, and creating a positive safety climate in order to reduction incidents/injuries.

Data security.

PubMed

2016-09-01

A government-commissioned review of data security across health and care has led to the proposal of new standards for security and options for a consent/opt-out model. Standards include that all staff complete appropriate annual data security training and pass a mandatory test provided through the revised Information Governance Toolkit, that personal confidential data is only accessible to staff who need it for their current role, and that access is removed as soon as it is no longer required. The consent/opt-out model is outlined under 8 statements, and includes certain circumstances where it will not apply, for example, where there is an overriding public interest, or mandatory legal requirement.

DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research

PubMed Central

Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R.

2016-01-01

Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support these tasks in Positron Emission Tomography and Computed Tomography (PET/CT) quantitative imaging (QI) biomarker development applied to head and neck cancer (HNC) treatment response assessment, using the Digital Imaging and Communications in Medicine (DICOM®) international standard and free open-source software. Methods. Quantitative analysis of PET/CT imaging data collected on patients undergoing treatment for HNC was conducted. Processing steps included Standardized Uptake Value (SUV) normalization of the images, segmentation of the tumor using manual and semi-automatic approaches, automatic segmentation of the reference regions, and extraction of the volumetric segmentation-based measurements. Suitable components of the DICOM standard were identified to model the various types of data produced by the analysis. A developer toolkit of conversion routines and an Application Programming Interface (API) were contributed and applied to create a standards-based representation of the data. Results. DICOM Real World Value Mapping, Segmentation and Structured Reporting objects were utilized for standards-compliant representation of the PET/CT QI analysis results and relevant clinical data. A number of correction proposals to the standard were developed. The open-source DICOM toolkit (DCMTK) was improved to simplify the task of DICOM encoding by introducing new API abstractions. Conversion and visualization tools utilizing this toolkit were developed. The encoded objects were validated for consistency and interoperability. The resulting dataset was deposited in the QIN-HEADNECK collection of The Cancer Imaging Archive (TCIA). Supporting tools for data analysis and DICOM conversion were made available as free open-source software. Discussion. We presented a detailed investigation of the development and application of the DICOM model, as well as the supporting open-source tools and toolkits, to accommodate representation of the research data in QI biomarker development. We demonstrated that the DICOM standard can be used to represent the types of data relevant in HNC QI biomarker development, and encode their complex relationships. The resulting annotated objects are amenable to data mining applications, and are interoperable with a variety of systems that support the DICOM standard. PMID:27257542

An approach to improve the care of mid-life women through the implementation of a Women’s Health Assessment Tool/Clinical Decision Support toolkit

PubMed Central

Silvestrin, Terry M; Steenrod, Anna W; Coyne, Karin S; Gross, David E; Esinduy, Canan B; Kodsi, Angela B; Slifka, Gayle J; Abraham, Lucy; Araiza, Anna L; Bushmakin, Andrew G; Luo, Xuemei

2016-01-01

The objectives of this study are to describe the implementation process of the Women’s Health Assessment Tool/Clinical Decision Support toolkit and summarize patients’ and clinicians’ perceptions of the toolkit. The Women’s Health Assessment Tool/Clinical Decision Support toolkit was piloted at three clinical sites over a 4-month period in Washington State to evaluate health outcomes among mid-life women. The implementation involved a multistep process and engagement of multiple stakeholders over 18 months. Two-thirds of patients (n = 76/110) and clinicians (n = 8/12) participating in pilot completed feedback surveys; five clinicians participated in qualitative interviews. Most patients felt more prepared for their annual visit (69.7%) and that quality of care improved (68.4%) while clinicians reported streamlined patient visits and improved communication with patients. The Women’s Health Assessment Tool/Clinical Decision Support toolkit offers a unique approach to introduce and address some of the key health issues that affect mid-life women. PMID:27558508

GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature.

PubMed

Ye, Ning; Yin, Hengfu; Liu, Jingjing; Dai, Xiaogang; Yin, Tongming

2015-01-01

The huge amount of gene expression data generated by microarray and next-generation sequencing technologies present challenges to exploit their biological meanings. When searching for the coexpression genes, the data mining process is largely affected by selection of algorithms. Thus, it is highly desirable to provide multiple options of algorithms in the user-friendly analytical toolkit to explore the gene expression signatures. For this purpose, we developed GESearch, an interactive graphical user interface (GUI) toolkit, which is written in MATLAB and supports a variety of gene expression data files. This analytical toolkit provides four models, including the mean, the regression, the delegate, and the ensemble models, to identify the coexpression genes, and enables the users to filter data and to select gene expression patterns by browsing the display window or by importing knowledge-based genes. Subsequently, the utility of this analytical toolkit is demonstrated by analyzing two sets of real-life microarray datasets from cell-cycle experiments. Overall, we have developed an interactive GUI toolkit that allows for choosing multiple algorithms for analyzing the gene expression signatures.

Enhancing the sustainability and climate resiliency of health care facilities: a comparison of initiatives and toolkits.

PubMed

Balbus, John; Berry, Peter; Brettle, Meagan; Jagnarine-Azan, Shalini; Soares, Agnes; Ugarte, Ciro; Varangu, Linda; Prats, Elena Villalobos

2016-09-01

Extreme weather events have revealed the vulnerability of health care facilities and the extent of devastation to the community when they fail. With climate change anticipated to increase extreme weather and its impacts worldwide-severe droughts, floods, heat waves, and related vector-borne diseases-health care officials need to understand and address the vulnerabilities of their health care systems and take action to improve resiliency in ways that also meet sustainability goals. Generally, the health sector is among a country's largest consumers of energy and a significant source of greenhouse gas emissions. Now it has the opportunity lead climate mitigation, while reducing energy, water, and other costs. This Special Report summarizes several initiatives and compares three toolkits for implementing sustainability and resiliency measures for health care facilities: the Canadian Health Care Facility Climate Change Resiliency Toolkit, the U.S. Sustainable and Climate Resilient Health Care Facilities Toolkit, and the PAHO SMART Hospitals Toolkit of the World Health Organization/Pan American Health Organization. These tools and the lessons learned can provide a critical starting point for any health system in the Americas.

CRISPR-Cas9 Toolkit for Actinomycete Genome Editing.

PubMed

Tong, Yaojun; Robertsen, Helene Lunde; Blin, Kai; Weber, Tilmann; Lee, Sang Yup

2018-01-01

Bacteria of the order Actinomycetales are one of the most important sources of bioactive natural products, which are the source of many drugs. However, many of them still lack efficient genome editing methods, some strains even cannot be manipulated at all. This restricts systematic metabolic engineering approaches for boosting known and discovering novel natural products. In order to facilitate the genome editing for actinomycetes, we developed a CRISPR-Cas9 toolkit with high efficiency for actinomyces genome editing. This basic toolkit includes a software for spacer (sgRNA) identification, a system for in-frame gene/gene cluster knockout, a system for gene loss-of-function study, a system for generating a random size deletion library, and a system for gene knockdown. For the latter, a uracil-specific excision reagent (USER) cloning technology was adapted to simplify the CRISPR vector construction process. The application of this toolkit was successfully demonstrated by perturbation of genomes of Streptomyces coelicolor A3(2) and Streptomyces collinus Tü 365. The CRISPR-Cas9 toolkit and related protocol described here can be widely used for metabolic engineering of actinomycetes.

The MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button.

PubMed

Swertz, Morris A; Dijkstra, Martijn; Adamusiak, Tomasz; van der Velde, Joeri K; Kanterakis, Alexandros; Roos, Erik T; Lops, Joris; Thorisson, Gudmundur A; Arends, Danny; Byelas, George; Muilu, Juha; Brookes, Anthony J; de Brock, Engbert O; Jansen, Ritsert C; Parkinson, Helen

2010-12-21

There is a huge demand on bioinformaticians to provide their biologists with user friendly and scalable software infrastructures to capture, exchange, and exploit the unprecedented amounts of new *omics data. We here present MOLGENIS, a generic, open source, software toolkit to quickly produce the bespoke MOLecular GENetics Information Systems needed. The MOLGENIS toolkit provides bioinformaticians with a simple language to model biological data structures and user interfaces. At the push of a button, MOLGENIS' generator suite automatically translates these models into a feature-rich, ready-to-use web application including database, user interfaces, exchange formats, and scriptable interfaces. Each generator is a template of SQL, JAVA, R, or HTML code that would require much effort to write by hand. This 'model-driven' method ensures reuse of best practices and improves quality because the modeling language and generators are shared between all MOLGENIS applications, so that errors are found quickly and improvements are shared easily by a re-generation. A plug-in mechanism ensures that both the generator suite and generated product can be customized just as much as hand-written software. In recent years we have successfully evaluated the MOLGENIS toolkit for the rapid prototyping of many types of biomedical applications, including next-generation sequencing, GWAS, QTL, proteomics and biobanking. Writing 500 lines of model XML typically replaces 15,000 lines of hand-written programming code, which allows for quick adaptation if the information system is not yet to the biologist's satisfaction. Each application generated with MOLGENIS comes with an optimized database back-end, user interfaces for biologists to manage and exploit their data, programming interfaces for bioinformaticians to script analysis tools in R, Java, SOAP, REST/JSON and RDF, a tab-delimited file format to ease upload and exchange of data, and detailed technical documentation. Existing databases can be quickly enhanced with MOLGENIS generated interfaces using the 'ExtractModel' procedure. The MOLGENIS toolkit provides bioinformaticians with a simple model to quickly generate flexible web platforms for all possible genomic, molecular and phenotypic experiments with a richness of interfaces not provided by other tools. All the software and manuals are available free as LGPLv3 open source at http://www.molgenis.org.

Transportation librarian's toolkit

DOT National Transportation Integrated Search

2007-12-01

The Transportation Librarians Toolkit is a product of the Transportation Library Connectivity pooled fund study, TPF- 5(105), a collaborative, grass-roots effort by transportation libraries to enhance information accessibility and professional expert...

The Python ARM Radar Toolkit (Py-ART), a library for working with weather radar data in the Python programming language

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

Helmus, Jonathan J.; Collis, Scott M.

The Python ARM Radar Toolkit is a package for reading, visualizing, correcting and analysing data from weather radars. Development began to meet the needs of the Atmospheric Radiation Measurement Climate Research Facility and has since expanded to provide a general-purpose framework for working with data from weather radars in the Python programming language. The toolkit is built on top of libraries in the Scientific Python ecosystem including NumPy, SciPy, and matplotlib, and makes use of Cython for interfacing with existing radar libraries written in C and to speed up computationally demanding algorithms. As a result, the source code for themore » toolkit is available on GitHub and is distributed under a BSD license.« less

Integrated Systems Health Management (ISHM) Toolkit

NASA Technical Reports Server (NTRS)

Venkatesh, Meera; Kapadia, Ravi; Walker, Mark; Wilkins, Kim

2013-01-01

A framework of software components has been implemented to facilitate the development of ISHM systems according to a methodology based on Reliability Centered Maintenance (RCM). This framework is collectively referred to as the Toolkit and was developed using General Atomics' Health MAP (TM) technology. The toolkit is intended to provide assistance to software developers of mission-critical system health monitoring applications in the specification, implementation, configuration, and deployment of such applications. In addition to software tools designed to facilitate these objectives, the toolkit also provides direction to software developers in accordance with an ISHM specification and development methodology. The development tools are based on an RCM approach for the development of ISHM systems. This approach focuses on defining, detecting, and predicting the likelihood of system functional failures and their undesirable consequences.

The Python ARM Radar Toolkit (Py-ART), a library for working with weather radar data in the Python programming language

DOE PAGES

Helmus, Jonathan J.; Collis, Scott M.

2016-07-18

The Python ARM Radar Toolkit is a package for reading, visualizing, correcting and analysing data from weather radars. Development began to meet the needs of the Atmospheric Radiation Measurement Climate Research Facility and has since expanded to provide a general-purpose framework for working with data from weather radars in the Python programming language. The toolkit is built on top of libraries in the Scientific Python ecosystem including NumPy, SciPy, and matplotlib, and makes use of Cython for interfacing with existing radar libraries written in C and to speed up computationally demanding algorithms. As a result, the source code for themore » toolkit is available on GitHub and is distributed under a BSD license.« less

The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.

PubMed

Nolden, Marco; Zelzer, Sascha; Seitel, Alexander; Wald, Diana; Müller, Michael; Franz, Alfred M; Maleike, Daniel; Fangerau, Markus; Baumhauer, Matthias; Maier-Hein, Lena; Maier-Hein, Klaus H; Meinzer, Hans-Peter; Wolf, Ivo

2013-07-01

The Medical Imaging Interaction Toolkit (MITK) has been available as open-source software for almost 10 years now. In this period the requirements of software systems in the medical image processing domain have become increasingly complex. The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control. MITK provides modularization and extensibility on different levels. In addition to the original toolkit, a module system, micro services for small, system-wide features, a service-oriented architecture based on the Open Services Gateway initiative (OSGi) standard, and an extensible and configurable application framework allow MITK to be used, extended and deployed as needed. A refined software process was implemented to deliver high-quality software, ease the fulfillment of regulatory requirements, and enable teamwork in mixed-competence teams. MITK has been applied by a worldwide community and integrated into a variety of solutions, either at the toolkit level or as an application framework with custom extensions. The MITK Workbench has been released as a highly extensible and customizable end-user application. Optional support for tool tracking, image-guided therapy, diffusion imaging as well as various external packages (e.g. CTK, DCMTK, OpenCV, SOFA, Python) is available. MITK has also been used in several FDA/CE-certified applications, which demonstrates the high-quality software and rigorous development process. MITK provides a versatile platform with a high degree of modularization and interoperability and is well suited to meet the challenging tasks of today's and tomorrow's clinically motivated research.

The Lean and Environment Toolkit

EPA Pesticide Factsheets

This Lean and Environment Toolkit assembles practical experience collected by the U.S. Environmental Protection Agency (EPA) and partner companies and organizations that have experience with coordinating Lean implementation and environmental management.

User's manual for the two-dimensional transputer graphics toolkit

NASA Technical Reports Server (NTRS)

Ellis, Graham K.

1988-01-01

The user manual for the 2-D graphics toolkit for a transputer based parallel processor is presented. The toolkit consists of a package of 2-D display routines that can be used for the simulation visualizations. It supports multiple windows, double buffered screens for animations, and simple graphics transformations such as translation, rotation, and scaling. The display routines are written in occam to take advantage of the multiprocessing features available on transputers. The package is designed to run on a transputer separate from the graphics board.

A Machine Learning and Optimization Toolkit for the Swarm

DTIC Science & Technology

2014-11-17

Machine   Learning  and  Op0miza0on   Toolkit  for  the  Swarm   Ilge  Akkaya,  Shuhei  Emoto...3. DATES COVERED 00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE A Machine Learning and Optimization Toolkit for the Swarm 5a. CONTRACT NUMBER... machine   learning   methodologies  by  providing  the  right  interfaces  between   machine   learning  tools  and

Food: Too Good to Waste Implementation Guide and Toolkit

EPA Pesticide Factsheets

The Food: Too Good to Waste (FTGTW) Implementation Guide and Toolkit is designed for community organizations, local governments, households and others interested in reducing wasteful household food management practices.

Development of a toolkit and glossary to aid in the adaptation of health technology assessment (HTA) reports for use in different contexts.

PubMed

Chase, D; Rosten, C; Turner, S; Hicks, N; Milne, R

2009-11-01

To develop a health technology assessment (HTA) adaptation toolkit and glossary of adaptation terms for use by HTA agencies within EU member states to support them in adapting HTA reports written for other contexts. The toolkit and glossary were developed by a partnership of 28 HTA agencies and networks across Europe (EUnetHTA work package 5), led by the UK National Coordinating Centre for Health Technology Assessment (NCCHTA). Methods employed for the two resources were literature searching, a survey of adaptation experience, two rounds of a Delphi survey, meetings of the partnership and drawing on the expertise and experience of the partnership, two rounds of review, and two rounds of quality assurance testing. All partners were requested to provide input into each stage of development. The resulting toolkit is a collection of resources, in the form of checklists of questions on relevance, reliability and transferability of data and information, and links to useful websites, that help the user assess whether data and information in existing HTA reports can be adapted for a different setting. The toolkit is designed for the adaptation of evidence synthesis rather than primary research. The accompanying glossary provides descriptions of meanings for HTA adaptation terms from HTA agencies across Europe. It seeks to highlight differences in the use and understanding of each word by HTA agencies. The toolkit and glossary are available for use by all HTA agencies and can be accessed via www.eunethta.net/. These resources have been developed to help HTA agencies make better use of HTA reports produced elsewhere. They can be used by policy-makers and clinicians to aid in understanding HTA reports written for other contexts. The main implication of this work is that there is the potential for the adaptation of HTA reports and, if utilised, this should release resources to enable the development of further HTA reports. Recommendations for the further development of the toolkit include the potential to develop an interactive web-based version and to extend the toolkit to facilitate the adaptation of HTA reports on diagnostic testing and screening.

The Development and Evaluation of an Online Healthcare Toolkit for Autistic Adults and their Primary Care Providers.

PubMed

Nicolaidis, Christina; Raymaker, Dora; McDonald, Katherine; Kapp, Steven; Weiner, Michael; Ashkenazy, Elesia; Gerrity, Martha; Kripke, Clarissa; Platt, Laura; Baggs, Amelia

2016-10-01

The healthcare system is ill-equipped to meet the needs of adults on the autism spectrum. Our goal was to use a community-based participatory research (CBPR) approach to develop and evaluate tools to facilitate the primary healthcare of autistic adults. Toolkit development included cognitive interviewing and test-retest reliability studies. Evaluation consisted of a mixed-methods, single-arm pre/post-intervention comparison. A total of 259 autistic adults and 51 primary care providers (PCPs) residing in the United States. The AASPIRE Healthcare toolkit includes the Autism Healthcare Accommodations Tool (AHAT)-a tool that allows patients to create a personalized accommodations report for their PCP-and general healthcare- and autism-related information, worksheets, checklists, and resources for patients and healthcare providers. Satisfaction with patient-provider communication, healthcare self-efficacy, barriers to healthcare, and satisfaction with the toolkit's usability and utility; responses to open-ended questions. Preliminary testing of the AHAT demonstrated strong content validity and adequate test-retest stability. Almost all patient participants (>94 %) felt that the AHAT and the toolkit were easy to use, important, and useful. In pre/post-intervention comparisons, the mean number of barriers decreased (from 4.07 to 2.82, p < 0.0001), healthcare self-efficacy increased (from 37.9 to 39.4, p = 0.02), and satisfaction with PCP communication improved (from 30.9 to 32.6, p = 0.03). Patients stated that the toolkit helped clarify their needs, enabled them to self-advocate and prepare for visits more effectively, and positively influenced provider behavior. Most of the PCPs surveyed read the AHAT (97 %), rated it as moderately or very useful (82 %), and would recommend it to other patients (87 %). The CBPR process resulted in a reliable healthcare accommodation tool and a highly accessible healthcare toolkit. Patients and providers indicated that the tools positively impacted healthcare interactions. The toolkit has the potential to reduce barriers to healthcare and improve healthcare self-efficacy and patient-provider communication.

A patient and public involvement (PPI) toolkit for meaningful and flexible involvement in clinical trials - a work in progress.

PubMed

Bagley, Heather J; Short, Hannah; Harman, Nicola L; Hickey, Helen R; Gamble, Carrol L; Woolfall, Kerry; Young, Bridget; Williamson, Paula R

2016-01-01

Funders of research are increasingly requiring researchers to involve patients and the public in their research. Patient and public involvement (PPI) in research can potentially help researchers make sure that the design of their research is relevant, that it is participant friendly and ethically sound. Using and sharing PPI resources can benefit those involved in undertaking PPI, but existing PPI resources are not used consistently and this can lead to duplication of effort. This paper describes how we are developing a toolkit to support clinical trials teams in a clinical trials unit. The toolkit will provide a key 'off the shelf' resource to support trial teams with limited resources, in undertaking PPI. Key activities in further developing and maintaining the toolkit are to: ● listen to the views and experience of both research teams and patient and public contributors who use the tools; ● modify the tools based on our experience of using them; ● identify the need for future tools; ● update the toolkit based on any newly identified resources that come to light; ● raise awareness of the toolkit and ● work in collaboration with others to either develop or test out PPI resources in order to reduce duplication of work in PPI. Background Patient and public involvement (PPI) in research is increasingly a funder requirement due to the potential benefits in the design of relevant, participant friendly, ethically sound research. The use and sharing of resources can benefit PPI, but available resources are not consistently used leading to duplication of effort. This paper describes a developing toolkit to support clinical trials teams to undertake effective and meaningful PPI. Methods The first phase in developing the toolkit was to describe which PPI activities should be considered in the pathway of a clinical trial and at what stage these activities should take place. This pathway was informed through review of the type and timing of PPI activities within trials coordinated by the Clinical Trials Research Centre and previously described areas of potential PPI impact in trials. In the second phase, key websites around PPI and identification of resources opportunistically, e.g. in conversation with other trialists or social media, were used to identify resources. Tools were developed where gaps existed. Results A flowchart was developed describing PPI activities that should be considered in the clinical trial pathway and the point at which these activities should happen. Three toolkit domains were identified: planning PPI; supporting PPI; recording and evaluating PPI. Four main activities and corresponding tools were identified under the planning for PPI: developing a plan; identifying patient and public contributors; allocating appropriate costs; and managing expectations. In supporting PPI, tools were developed to review participant information sheets. These tools, which require a summary of potential trial participant characteristics and circumstances help to clarify requirements and expectations of PPI review. For recording and evaluating PPI, the planned PPI interventions should be monitored in terms of impact, and a tool to monitor public contributor experience is in development. Conclusions This toolkit provides a developing 'off the shelf' resource to support trial teams with limited resources in undertaking PPI. Key activities in further developing and maintaining the toolkit are to: listen to the views and experience of both research teams and public contributors using the tools, to identify the need for future tools, to modify tools based on experience of their use; to update the toolkit based on any newly identified resources that come to light; to raise awareness of the toolkit and to work in collaboration with others to both develop and test out PPI resources in order to reduce duplication of work in PPI.

SlicerRT: radiation therapy research toolkit for 3D Slicer.

PubMed

Pinter, Csaba; Lasso, Andras; Wang, An; Jaffray, David; Fichtinger, Gabor

2012-10-01

Interest in adaptive radiation therapy research is constantly growing, but software tools available for researchers are mostly either expensive, closed proprietary applications, or free open-source packages with limited scope, extensibility, reliability, or user support. To address these limitations, we propose SlicerRT, a customizable, free, and open-source radiation therapy research toolkit. SlicerRT aspires to be an open-source toolkit for RT research, providing fast computations, convenient workflows for researchers, and a general image-guided therapy infrastructure to assist clinical translation of experimental therapeutic approaches. It is a medium into which RT researchers can integrate their methods and algorithms, and conduct comparative testing. SlicerRT was implemented as an extension for the widely used 3D Slicer medical image visualization and analysis application platform. SlicerRT provides functionality specifically designed for radiation therapy research, in addition to the powerful tools that 3D Slicer offers for visualization, registration, segmentation, and data management. The feature set of SlicerRT was defined through consensus discussions with a large pool of RT researchers, including both radiation oncologists and medical physicists. The development processes used were similar to those of 3D Slicer to ensure software quality. Standardized mechanisms of 3D Slicer were applied for documentation, distribution, and user support. The testing and validation environment was configured to automatically launch a regression test upon each software change and to perform comparison with ground truth results provided by other RT applications. Modules have been created for importing and loading DICOM-RT data, computing and displaying dose volume histograms, creating accumulated dose volumes, comparing dose volumes, and visualizing isodose lines and surfaces. The effectiveness of using 3D Slicer with the proposed SlicerRT extension for radiation therapy research was demonstrated on multiple use cases. A new open-source software toolkit has been developed for radiation therapy research. SlicerRT can import treatment plans from various sources into 3D Slicer for visualization, analysis, comparison, and processing. The provided algorithms are extensively tested and they are accessible through a convenient graphical user interface as well as a flexible application programming interface.

Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study

NASA Astrophysics Data System (ADS)

Lerendegui-Marco, J.; Cortés-Giraldo, M. A.; Guerrero, C.; Quesada, J. M.; Meo, S. Lo; Massimi, C.; Barbagallo, M.; Colonna, N.; Mancussi, D.; Mingrone, F.; Sabaté-Gilarte, M.; Vannini, G.; Vlachoudis, V.; Aberle, O.; Andrzejewski, J.; Audouin, L.; Bacak, M.; Balibrea, J.; Bečvář, F.; Berthoumieux, E.; Billowes, J.; Bosnar, D.; Brown, A.; Caamaño, M.; Calviño, F.; Calviani, M.; Cano-Ott, D.; Cardella, R.; Casanovas, A.; Cerutti, F.; Chen, Y. H.; Chiaveri, E.; Cortés, G.; Cosentino, L.; Damone, L. A.; Diakaki, M.; Domingo-Pardo, C.; Dressler, R.; Dupont, E.; Durán, I.; Fernández-Domínguez, B.; Ferrari, A.; Ferreira, P.; Finocchiaro, P.; Göbel, K.; Gómez-Hornillos, M. B.; García, A. R.; Gawlik, A.; Gilardoni, S.; Glodariu, T.; Gonçalves, I. F.; González, E.; Griesmayer, E.; Gunsing, F.; Harada, H.; Heinitz, S.; Heyse, J.; Jenkins, D. G.; Jericha, E.; Käppeler, F.; Kadi, Y.; Kalamara, A.; Kavrigin, P.; Kimura, A.; Kivel, N.; Kokkoris, M.; Krtička, M.; Kurtulgil, D.; Leal-Cidoncha, E.; Lederer, C.; Leeb, H.; Lonsdale, S. J.; Macina, D.; Marganiec, J.; Martínez, T.; Masi, A.; Mastinu, P.; Mastromarco, M.; Maugeri, E. A.; Mazzone, A.; Mendoza, E.; Mengoni, A.; Milazzo, P. M.; Musumarra, A.; Negret, A.; Nolte, R.; Oprea, A.; Patronis, N.; Pavlik, A.; Perkowski, J.; Porras, I.; Praena, J.; Radeck, D.; Rauscher, T.; Reifarth, R.; Rout, P. C.; Rubbia, C.; Ryan, J. A.; Saxena, A.; Schillebeeckx, P.; Schumann, D.; Smith, A. G.; Sosnin, N. V.; Stamatopoulos, A.; Tagliente, G.; Tain, J. L.; Tarifeño-Saldivia, A.; Tassan-Got, L.; Valenta, S.; Variale, V.; Vaz, P.; Ventura, A.; Vlastou, R.; Wallner, A.; Warren, S.; Woods, P. J.; Wright, T.; Žugec, P.

2017-09-01

Monte Carlo (MC) simulations are an essential tool to determine fundamental features of a neutron beam, such as the neutron flux or the γ-ray background, that sometimes can not be measured or at least not in every position or energy range. Until recently, the most widely used MC codes in this field had been MCNPX and FLUKA. However, the Geant4 toolkit has also become a competitive code for the transport of neutrons after the development of the native Geant4 format for neutron data libraries, G4NDL. In this context, we present the Geant4 simulations of the neutron spallation target of the n_TOF facility at CERN, done with version 10.1.1 of the toolkit. The first goal was the validation of the intra-nuclear cascade models implemented in the code using, as benchmark, the characteristics of the neutron beam measured at the first experimental area (EAR1), especially the neutron flux and energy distribution, and the time distribution of neutrons of equal kinetic energy, the so-called Resolution Function. The second goal was the development of a Monte Carlo tool aimed to provide useful calculations for both the analysis and planning of the upcoming measurements at the new experimental area (EAR2) of the facility.

Genome and epigenome engineering CRISPR toolkit for in vivo modulation of cis-regulatory interactions and gene expression in the chicken embryo.

PubMed

Williams, Ruth M; Senanayake, Upeka; Artibani, Mara; Taylor, Gunes; Wells, Daniel; Ahmed, Ahmed Ashour; Sauka-Spengler, Tatjana

2018-02-23

CRISPR/Cas9 genome engineering has revolutionised all aspects of biological research, with epigenome engineering transforming gene regulation studies. Here, we present an optimised, adaptable toolkit enabling genome and epigenome engineering in the chicken embryo, and demonstrate its utility by probing gene regulatory interactions mediated by neural crest enhancers. First, we optimise novel efficient guide-RNA mini expression vectors utilising chick U6 promoters, provide a strategy for rapid somatic gene knockout and establish a protocol for evaluation of mutational penetrance by targeted next-generation sequencing. We show that CRISPR/Cas9-mediated disruption of transcription factors causes a reduction in their cognate enhancer-driven reporter activity. Next, we assess endogenous enhancer function using both enhancer deletion and nuclease-deficient Cas9 (dCas9) effector fusions to modulate enhancer chromatin landscape, thus providing the first report of epigenome engineering in a developing embryo. Finally, we use the synergistic activation mediator (SAM) system to activate an endogenous target promoter. The novel genome and epigenome engineering toolkit developed here enables manipulation of endogenous gene expression and enhancer activity in chicken embryos, facilitating high-resolution analysis of gene regulatory interactions in vivo . © 2018. Published by The Company of Biologists Ltd.

Lean and Information Technology Toolkit

EPA Pesticide Factsheets

The Lean and Information Technology Toolkit is a how-to guide which provides resources to environmental agencies to help them use Lean Startup, Lean process improvement, and Agile tools to streamline and automate processes.

Health Information in Kirundi (Rundi)

MedlinePlus

... Abuse Healthy Living Toolkit: Violence In the Home - English PDF Healthy Living Toolkit: Violence In the Home - ... Parents on Talking to Children About the Flu - English PDF Advice for Parents on Talking to Children ...

78 FR 14774 - U.S. Environmental Solutions Toolkit-Universal Waste

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-07

... following list: (a) Mercury Recycling Technology (b) E-Waste Recycling Technology (c) CRT Recycling Technology (d) Lamp Crushing Systems For purposes of participation in the Toolkit, ``United States exporter...

Modeling of a Flooding Induced Station Blackout for a Pressurized Water Reactor Using the RISMC Toolkit

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

Mandelli, Diego; Prescott, Steven R; Smith, Curtis L

2011-07-01

In the Risk Informed Safety Margin Characterization (RISMC) approach we want to understand not just the frequency of an event like core damage, but how close we are (or are not) to key safety-related events and how might we increase our safety margins. The RISMC Pathway uses the probabilistic margin approach to quantify impacts to reliability and safety by coupling both probabilistic (via stochastic simulation) and mechanistic (via physics models) approaches. This coupling takes place through the interchange of physical parameters and operational or accident scenarios. In this paper we apply the RISMC approach to evaluate the impact of amore » power uprate on a pressurized water reactor (PWR) for a tsunami-induced flooding test case. This analysis is performed using the RISMC toolkit: RELAP-7 and RAVEN codes. RELAP-7 is the new generation of system analysis codes that is responsible for simulating the thermal-hydraulic dynamics of PWR and boiling water reactor systems. RAVEN has two capabilities: to act as a controller of the RELAP-7 simulation (e.g., system activation) and to perform statistical analyses (e.g., run multiple RELAP-7 simulations where sequencing/timing of events have been changed according to a set of stochastic distributions). By using the RISMC toolkit, we can evaluate how power uprate affects the system recovery measures needed to avoid core damage after the PWR lost all available AC power by a tsunami induced flooding. The simulation of the actual flooding is performed by using a smooth particle hydrodynamics code: NEUTRINO.« less

Water Quality Trading Toolkit for Permit Writers

EPA Pesticide Factsheets

The Water Quality Trading Toolkit for Permit Writers is EPA’s first “how-to” manual on designing and implementing water quality trading programs. It helps NPDES permitting authorities incorporate trading provisions into permits.

Heart Health for Women

MedlinePlus

... more about how you can participate. Heart Health Social Media Toolkit The FDA Office of Women's Health offers ... informed about heart health. Use the Heart Health Social Media Toolkit to encourage women in your network to ...

Sensitivity Analysis for Multidisciplinary Systems (SAMS)

DTIC Science & Technology

2016-12-01

support both mode-based structural representations and time-dependent, nonlinear finite element structural dynamics. This interim report describes...Adaptation, & Sensitivity Toolkit • Elasticity, heat transfer, & compressible flow • Adjoint solver for sensitivity analysis • High-order finite elements ...PROGRAM ELEMENT NUMBER 62201F 6. AUTHOR(S) Richard D. Snyder 5d. PROJECT NUMBER 2401 5e. TASK NUMBER N/A 5f. WORK UNIT NUMBER Q1FS 7

Working with Evaluation Stakeholders: A Rationale, Step-Wise Approach and Toolkit

ERIC Educational Resources Information Center

Bryson, John M.; Patton, Michael Quinn; Bowman, Ruth A.

2011-01-01

In the broad field of evaluation, the importance of stakeholders is often acknowledged and different categories of stakeholders are identified. Far less frequent is careful attention to analysis of stakeholders' interests, needs, concerns, power, priorities, and perspectives and subsequent application of that knowledge to the design of…

Research Staff | Geothermal Technologies | NREL

Science.gov Websites

Position Email Phone Akar, Sertac Energy Analyst - Geothermal Sertac.Akar@nrel.gov 303-275-3725 Augustine -Geoscience Kate Young joined NREL in 2008. She has worked on analysis of geothermal exploration, drilling ) Toolkit, the Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT), and the

Detecting Runtime Anomalies in AJAX Applications through Trace Analysis

DTIC Science & Technology

2011-08-10

statements by adding the instrumentation to the GWT UI classes, leaving the user code untouched. Some content management frameworks such as Drupal [12...Google web toolkit.” http://code.google.com/webtoolkit/. [12] “Form generation – drupal api.” http://api.drupal.org/api/group/form_api/6. 9

The Model Analyst’s Toolkit: Scientific Model Development, Analysis, and Validation

DTIC Science & Technology

2015-05-20

biased for a variety of reasons, and neurological and physiological data can be corrupted by broken or improperly used sensors. If it were possible...War and Development Policy. Washington, DC: World Bank and Oxford University Press. Collier, P. and Hoeffler, A. (2004). " Greed and Grievances in

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual

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

Adams, Brian M.; Ebeida, Mohamed Salah; Eldred, Michael S

The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a exible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quanti cation with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components requiredmore » for iterative systems analyses, the Dakota toolkit provides a exible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the Dakota software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of Dakota-related research publications in the areas of surrogate-based optimization, uncertainty quanti cation, and optimization under uncertainty that provide the foundation for many of Dakota's iterative analysis capabilities.« less

Acceptability of mental health stigma-reduction training and initial effects on awareness among military personnel.

PubMed

Hurtado, Suzanne L; Simon-Arndt, Cynthia M; McAnany, Jennifer; Crain, Jenny A

2015-01-01

The purpose of this paper is to report on the development of a mental health stigma reduction toolkit and training, and the acceptability and level of stigma awareness following the stigma-reduction training for military personnel. The overall aims of the training were to provide discussion tools highlighting the experiences of Marines seeking help for stress concerns, improve communication between leaders and their Marines around the issue of help seeking, and familiarize Marines with behavioral health treatment. Senior enlisted leaders and officers (N = 52) from a Marine Corps battalion participated in a pretest, 2-h stigma-reduction training and immediate posttest. Acceptability of the training was measured by querying participants about the usefulness and helpfulness of the training among other factors, and stigma awareness was measured with 10 items about mental health stigma. The stigma-reduction training and materials were well accepted by participants. In addition, there was a significant improvement in four of ten stigma-reduction awareness concepts measured before and immediately after the training, which included an increase in agreement that mental health treatments are usually effective in reducing stress reactions [t(51) = -3.35, p = 0.002], and an increase in disagreement that seeking counseling after a deployment will jeopardize future deployments [t(51) = -3.05, p = 0.004]. Level of agreement with several statements including those regarding perceptions of invincibility, and malingering, among others, did not change significantly after the training. The stigma-reduction training containing educational and contact strategies was highly acceptable to the leaders and may have promise for initially dispelling myths associated with seeking help for stress concerns among military service members; however, results indicate that there is clearly more work to be done in combatting stigma.

An evaluation capacity building toolkit for principal investigators of undergraduate research experiences: A demonstration of transforming theory into practice.

PubMed

Rorrer, Audrey S

2016-04-01

This paper describes the approach and process undertaken to develop evaluation capacity among the leaders of a federally funded undergraduate research program. An evaluation toolkit was developed for Computer and Information Sciences and Engineering(1) Research Experiences for Undergraduates(2) (CISE REU) programs to address the ongoing need for evaluation capacity among principal investigators who manage program evaluation. The toolkit was the result of collaboration within the CISE REU community with the purpose being to provide targeted instructional resources and tools for quality program evaluation. Challenges were to balance the desire for standardized assessment with the responsibility to account for individual program contexts. Toolkit contents included instructional materials about evaluation practice, a standardized applicant management tool, and a modulated outcomes measure. Resulting benefits from toolkit deployment were having cost effective, sustainable evaluation tools, a community evaluation forum, and aggregate measurement of key program outcomes for the national program. Lessons learned included the imperative of understanding the evaluation context, engaging stakeholders, and building stakeholder trust. Results from project measures are presented along with a discussion of guidelines for facilitating evaluation capacity building that will serve a variety of contexts. Copyright © 2016. Published by Elsevier Ltd.

Health Care Facilities Resilient to Climate Change Impacts

PubMed Central

Paterson, Jaclyn; Berry, Peter; Ebi, Kristie; Varangu, Linda

2014-01-01

Climate change will increase the frequency and magnitude of extreme weather events and create risks that will impact health care facilities. Health care facilities will need to assess climate change risks and adopt adaptive management strategies to be resilient, but guidance tools are lacking. In this study, a toolkit was developed for health care facility officials to assess the resiliency of their facility to climate change impacts. A mixed methods approach was used to develop climate change resiliency indicators to inform the development of the toolkit. The toolkit consists of a checklist for officials who work in areas of emergency management, facilities management and health care services and supply chain management, a facilitator’s guide for administering the checklist, and a resource guidebook to inform adaptation. Six health care facilities representing three provinces in Canada piloted the checklist. Senior level officials with expertise in the aforementioned areas were invited to review the checklist, provide feedback during qualitative interviews and review the final toolkit at a stakeholder workshop. The toolkit helps health care facility officials identify gaps in climate change preparedness, direct allocation of adaptation resources and inform strategic planning to increase resiliency to climate change. PMID:25522050

Automated MRI Cerebellar Size Measurements Using Active Appearance Modeling

PubMed Central

Price, Mathew; Cardenas, Valerie A.; Fein, George

2014-01-01

Although the human cerebellum has been increasingly identified as an important hub that shows potential for helping in the diagnosis of a large spectrum of disorders, such as alcoholism, autism, and fetal alcohol spectrum disorder, the high costs associated with manual segmentation, and low availability of reliable automated cerebellar segmentation tools, has resulted in a limited focus on cerebellar measurement in human neuroimaging studies. We present here the CATK (Cerebellar Analysis Toolkit), which is based on the Bayesian framework implemented in FMRIB’s FIRST. This approach involves training Active Appearance Models (AAM) using hand-delineated examples. CATK can currently delineate the cerebellar hemispheres and three vermal groups (lobules I–V, VI–VII, and VIII–X). Linear registration with the low-resolution MNI152 template is used to provide initial alignment, and Point Distribution Models (PDM) are parameterized using stellar sampling. The Bayesian approach models the relationship between shape and texture through computation of conditionals in the training set. Our method varies from the FIRST framework in that initial fitting is driven by 1D intensity profile matching, and the conditional likelihood function is subsequently used to refine fitting. The method was developed using T1-weighted images from 63 subjects that were imaged and manually labeled: 43 subjects were scanned once and were used for training models, and 20 subjects were imaged twice (with manual labeling applied to both runs) and used to assess reliability and validity. Intraclass correlation analysis shows that CATK is highly reliable (average test-retest ICCs of 0.96), and offers excellent agreement with the gold standard (average validity ICC of 0.87 against manual labels). Comparisons against an alternative atlas-based approach, SUIT (Spatially Unbiased Infratentorial Template), that registers images with a high-resolution template of the cerebellum, show that our AAM approach offers superior reliability and validity. Extensions of CATK to cerebellar hemisphere parcels is envisioned. PMID:25192657

Current Status of VO Compliant Data Service in Japanese Virtual Observatory

NASA Astrophysics Data System (ADS)

Shirasaki, Y.; Komiya, Y.; Ohishi, M.; Mizumoto, Y.; Ishihara, Y.; Tsutsumi, J.; Hiyama, T.; Nakamoto, H.; Sakamoto, M.

2012-09-01

In these years, standards to build a Virtual Observatory (VO) data service have been established with the efforts in the International Virtual Observatory Alliance (IVOA). We applied these newly established standards (SSAP, TAP) to our VO service toolkit which was developed to implement earlier VO standards SIAP and (deprecated) SkyNode. The toolkit can be easily installed and provides a GUI interface to construct and manage VO service. In this paper, we describes the architecture of our toolkit and how it is used to start hosting VO service.

Python-based geometry preparation and simulation visualization toolkits for STEPS

PubMed Central

Chen, Weiliang; De Schutter, Erik

2014-01-01

STEPS is a stochastic reaction-diffusion simulation engine that implements a spatial extension of Gillespie's Stochastic Simulation Algorithm (SSA) in complex tetrahedral geometries. An extensive Python-based interface is provided to STEPS so that it can interact with the large number of scientific packages in Python. However, a gap existed between the interfaces of these packages and the STEPS user interface, where supporting toolkits could reduce the amount of scripting required for research projects. This paper introduces two new supporting toolkits that support geometry preparation and visualization for STEPS simulations. PMID:24782754

WIND Toolkit Power Data Site Index

DOE Data Explorer

Draxl, Caroline; Mathias-Hodge, Bri

2016-10-19

This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This data was prepared by 3TIER under contract by NREL and is public domain. Authoritative documentation on the creation of the underlying dataset is at: Final Report on the Creation of the Wind Integration National Dataset (WIND) Toolkit and API: http://www.nrel.gov/docs/fy16osti/66189.pdf

Patient-Centered Personal Health Record and Portal Implementation Toolkit for Ambulatory Clinics: A Feasibility Study.

PubMed

Nahm, Eun-Shim; Diblasi, Catherine; Gonzales, Eva; Silver, Kristi; Zhu, Shijun; Sagherian, Knar; Kongs, Katherine

2017-04-01

Personal health records and patient portals have been shown to be effective in managing chronic illnesses. Despite recent nationwide implementation efforts, the personal health record and patient portal adoption rates among patients are low, and the lack of support for patients using the programs remains a critical gap in most implementation processes. In this study, we implemented the Patient-Centered Personal Health Record and Patient Portal Implementation Toolkit in a large diabetes/endocrinology center and assessed its preliminary impact on personal health record and patient portal knowledge, self-efficacy, patient-provider communication, and adherence to treatment plans. Patient-Centered Personal Health Record and Patient Portal Implementation Toolkit is composed of Patient-Centered Personal Health Record and Patient Portal Implementation Toolkit-General, clinic-level resources for clinicians, staff, and patients, and Patient-Centered Personal Health Record and Patient Portal Implementation Toolkit Plus, an optional 4-week online resource program for patients ("MyHealthPortal"). First, Patient-Centered Personal Health Record and Patient Portal Implementation Toolkit-General was implemented, and all clinicians and staff were educated about the center's personal health record and patient portal. Then general patient education was initiated, while a randomized controlled trial was conducted to test the preliminary effects of "MyHealthPortal" using a small sample (n = 74) with three observations (baseline and 4 and 12 weeks). The intervention group showed significantly greater improvement than the control group in patient-provider communication at 4 weeks (t56 = 3.00, P = .004). For other variables, the intervention group tended to show greater improvement; however, the differences were not significant. In this preliminary study, Patient-Centered Personal Health Record and Patient Portal Implementation Toolkit showed potential for filling the gap in the current personal health record and patient portal implementation process. Further studies are needed using larger samples in other settings to ascertain if these results are generalizable to other populations.

The Ames MER microscopic imager toolkit

USGS Publications Warehouse

Sargent, R.; Deans, Matthew; Kunz, C.; Sims, M.; Herkenhoff, K.

2005-01-01

12The Mars Exploration Rovers, Spirit and Opportunity, have spent several successful months on Mars, returning gigabytes of images and spectral data to scientists on Earth. One of the instruments on the MER rovers, the Athena Microscopic Imager (MI), is a fixed focus, megapixel camera providing a ??3mm depth of field and a 31??31mm field of view at a working distance of 63 mm from the lens to the object being imaged. In order to maximize the science return from this instrument, we developed the Ames MI Toolkit and supported its use during the primary mission. The MI Toolkit is a set of programs that operate on collections of MI images, with the goal of making the data more understandable to the scientists on the ground. Because of the limited depth of field of the camera, and the often highly variable topography of the terrain being imaged, MI images of a given rock are often taken as a stack, with the Instrument Deployment Device (IDD) moving along a computed normal vector, pausing every few millimeters for the MI to acquire an image. The MI Toolkit provides image registration and focal section merging, which combine these images to form a single, maximally in-focus image, while compensating for changes in lighting as well as parallax due to the motion of the camera. The MI Toolkit also provides a 3-D reconstruction of the surface being imaged using stereo and can embed 2-D MI images as texture maps into 3-D meshes produced by other imagers on board the rover to provide context. The 2-D images and 3-D meshes output from the Toolkit are easily viewed by scientists using other mission tools, such as Viz or the MI Browser.This paper describes the MI Toolkit in detail, as well as our experience using it with scientists at JPL during the primary MER mission. ?? 2005 IEEE.

The Ames MER Microscopic Imager Toolkit

NASA Technical Reports Server (NTRS)

Sargent, Randy; Deans, Matthew; Kunz, Clayton; Sims, Michael; Herkenhoff, Ken

2005-01-01

The Mars Exploration Rovers, Spirit and Opportunity, have spent several successful months on Mars, returning gigabytes of images and spectral data to scientists on Earth. One of the instruments on the MER rovers, the Athena Microscopic Imager (MI), is a fixed focus, megapixel camera providing a plus or minus mm depth of field and a 3lx31mm field of view at a working distance of 63 mm from the lens to the object being imaged. In order to maximize the science return from this instrument, we developed the Ames MI Toolkit and supported its use during the primary mission. The MI Toolkit is a set of programs that operate on collections of MI images, with the goal of making the data more understandable to the scientists on the ground. Because of the limited depth of field of the camera, and the often highly variable topography of the terrain being imaged, MI images of a given rock are often taken as a stack, with the Instrument Deployment Device (IDD) moving along a computed normal vector, pausing every few millimeters for the MI to acquire an image. The MI Toolkit provides image registration and focal section merging, which combine these images to form a single, maximally in-focus image, while compensating for changes in lighting as well as parallax due to the motion of the camera. The MI Toolkit also provides a 3-D reconstruction of the surface being imaged using stereo and can embed 2-D MI images as texture maps into 3-D meshes produced by other imagers on board the rover to provide context. The 2-D images and 3-D meshes output from the Toolkit are easily viewed by scientists using other mission tools, such as Viz or the MI Browser. This paper describes the MI Toolkit in detail, as well as our experience using it with scientists at JPL during the primary MER mission.

Everware toolkit. Supporting reproducible science and challenge-driven education.

NASA Astrophysics Data System (ADS)

Ustyuzhanin, A.; Head, T.; Babuschkin, I.; Tiunov, A.

2017-10-01

Modern science clearly demands for a higher level of reproducibility and collaboration. To make research fully reproducible one has to take care of several aspects: research protocol description, data access, environment preservation, workflow pipeline, and analysis script preservation. Version control systems like git help with the workflow and analysis scripts part. Virtualization techniques like Docker or Vagrant can help deal with environments. Jupyter notebooks are a powerful platform for conducting research in a collaborative manner. We present project Everware that seamlessly integrates git repository management systems such as Github or Gitlab, Docker and Jupyter helping with a) sharing results of real research and b) boosts education activities. With the help of Everware one can not only share the final artifacts of research but all the depth of the research process. This been shown to be extremely helpful during organization of several data analysis hackathons and machine learning schools. Using Everware participants could start from an existing solution instead of starting from scratch. They could start contributing immediately. Everware allows its users to make use of their own computational resources to run the workflows they are interested in, which leads to higher scalability of the toolkit.

Pyicos: a versatile toolkit for the analysis of high-throughput sequencing data

PubMed Central

Althammer, Sonja; González-Vallinas, Juan; Ballaré, Cecilia; Beato, Miguel; Eyras, Eduardo

2011-01-01

Motivation: High-throughput sequencing (HTS) has revolutionized gene regulation studies and is now fundamental for the detection of protein–DNA and protein–RNA binding, as well as for measuring RNA expression. With increasing variety and sequencing depth of HTS datasets, the need for more flexible and memory-efficient tools to analyse them is growing. Results: We describe Pyicos, a powerful toolkit for the analysis of mapped reads from diverse HTS experiments: ChIP-Seq, either punctuated or broad signals, CLIP-Seq and RNA-Seq. We prove the effectiveness of Pyicos to select for significant signals and show that its accuracy is comparable and sometimes superior to that of methods specifically designed for each particular type of experiment. Pyicos facilitates the analysis of a variety of HTS datatypes through its flexibility and memory efficiency, providing a useful framework for data integration into models of regulatory genomics. Availability: Open-source software, with tutorials and protocol files, is available at http://regulatorygenomics.upf.edu/pyicos or as a Galaxy server at http://regulatorygenomics.upf.edu/galaxy Contact: eduardo.eyras@upf.edu Supplementary Information: Supplementary data are available at Bioinformatics online. PMID:21994224

Energy Savings Performance Contract Energy Sales Agreement Toolkit

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

None

FEMP developed the Energy Savings Performance Contracting Energy Sales Agreement (ESPC ESA) Toolkit to provide federal agency contracting officers and other acquisition team members with information that will facilitate the timely execution of ESPC ESA projects.

Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit.

PubMed

Yoo, Terry S; Ackerman, Michael J; Lorensen, William E; Schroeder, Will; Chalana, Vikram; Aylward, Stephen; Metaxas, Dimitris; Whitaker, Ross

2002-01-01

We present the detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data. This public resource has been developed through the NLM Visible Human Project, and is in beta test as an open-source software offering under cost-free licensing. The toolkit concentrates on 3D medical data segmentation and registration algorithms, multimodal and multiresolution capabilities, and portable platform independent support for Windows, Linux/Unix systems. This toolkit was built using current practices in software engineering. Specifically, we embraced the concept of generic programming during the development of these tools, working extensively with C++ templates and the freedom and flexibility they allow. Software development tools for distributed consortium-based code development have been created and are also publicly available. We discuss our assumptions, design decisions, and some lessons learned.

The Biological Reference Repository (BioR): a rapid and flexible system for genomics annotation.

PubMed

Kocher, Jean-Pierre A; Quest, Daniel J; Duffy, Patrick; Meiners, Michael A; Moore, Raymond M; Rider, David; Hossain, Asif; Hart, Steven N; Dinu, Valentin

2014-07-01

The Biological Reference Repository (BioR) is a toolkit for annotating variants. BioR stores public and user-specific annotation sources in indexed JSON-encoded flat files (catalogs). The BioR toolkit provides the functionality to combine and retrieve annotation from these catalogs via the command-line interface. Several catalogs from commonly used annotation sources and instructions for creating user-specific catalogs are provided. Commands from the toolkit can be combined with other UNIX commands for advanced annotation processing. We also provide instructions for the development of custom annotation pipelines. The package is implemented in Java and makes use of external tools written in Java and Perl. The toolkit can be executed on Mac OS X 10.5 and above or any Linux distribution. The BioR application, quickstart, and user guide documents and many biological examples are available at http://bioinformaticstools.mayo.edu. © The Author 2014. Published by Oxford University Press.

Security Hardened Cyber Components for Nuclear Power Plants: Phase I SBIR Final Technical Report

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

Franusich, Michael D.

SpiralGen, Inc. built a proof-of-concept toolkit for enhancing the cyber security of nuclear power plants and other critical infrastructure with high-assurance instrumentation and control code. The toolkit is based on technology from the DARPA High-Assurance Cyber Military Systems (HACMS) program, which has focused on applying the science of formal methods to the formidable set of problems involved in securing cyber physical systems. The primary challenges beyond HACMS in developing this toolkit were to make the new technology usable by control system engineers and compatible with the regulatory and commercial constraints of the nuclear power industry. The toolkit, packaged as amore » Simulink add-on, allows a system designer to assemble a high-assurance component from formally specified and proven blocks and generate provably correct control and monitor code for that subsystem.« less

Margins of safety provided by COSHH Essentials and the ILO Chemical Control Toolkit.

PubMed

Jones, Rachael M; Nicas, Mark

2006-03-01

COSHH Essentials, developed by the UK Health and Safety Executive, and the Chemical Control Toolkit (Toolkit) proposed by the International Labor Organization, are 'control banding' approaches to workplace risk management intended for use by proprietors of small and medium-sized businesses. Both systems group chemical substances into hazard bands based on toxicological endpoint and potency. COSSH Essentials uses the European Union's Risk-phrases (R-phrases), whereas the Toolkit uses R-phrases and the Globally Harmonized System (GHS) of Classification and Labeling of Chemicals. Each hazard band is associated with a range of airborne concentrations, termed exposure bands, which are to be attained by the implementation of recommended control technologies. Here we analyze the margin of safety afforded by the systems and, for each hazard band, define the minimal margin as the ratio of the minimum airborne concentration that produced the toxicological endpoint of interest in experimental animals to the maximum concentration in workplace air permitted by the exposure band. We found that the minimal margins were always <100, with some ranging to <1, and inversely related to molecular weight. The Toolkit-GHS system generally produced margins equal to or larger than COSHH Essentials, suggesting that the Toolkit-GHS system is more protective of worker health. Although, these systems predict exposures comparable with current occupational exposure limits, we argue that the minimal margins are better indicators of health protection. Further, given the small margins observed, we feel it is important that revisions of these systems provide the exposure bands to users, so as to permit evaluation of control technology capture efficiency.

Innovations and Challenges of Implementing a Glucose Gel Toolkit for Neonatal Hypoglycemia.

PubMed

Hammer, Denise; Pohl, Carla; Jacobs, Peggy J; Kaufman, Susan; Drury, Brenda

2018-05-24

Transient neonatal hypoglycemia occurs most commonly in newborns who are small for gestational age, large for gestational age, infants of diabetic mothers, and late preterm infants. An exact blood glucose value has not been determined for neonatal hypoglycemia, and it is important to note that poor neurologic outcomes can occur if hypoglycemia is left untreated. Interventions that separate mothers and newborns, as well as use of formula to treat hypoglycemia, have the potential to disrupt exclusive breastfeeding. To determine whether implementation of a toolkit designed to support staff in the adaptation of the practice change for management of newborns at risk for hypoglycemia, that includes 40% glucose gel in an obstetric unit with a level 2 nursery will decrease admissions to the Intermediate Care Nursery, and increase exclusive breastfeeding. This descriptive study used a retrospective chart review for pre/postimplementation of the Management of Newborns at Risk for Hypoglycemia Toolkit (Toolkit) using a convenience sample of at-risk newborns in the first 2 days of life to evaluate the proposed outcomes. Following implementation of the Toolkit, at-risk newborns had a clinically but not statistically significant 6.5% increase in exclusive breastfeeding and a clinically but not statistically significant 5% decrease in admissions to the Intermediate Care Nursery. The Toolkit was designed for ease of staff use and to improve outcomes for the at-risk newborn. Future research includes replication at other level 2 and level 1 obstetric centers and investigation into the number of 40% glucose gel doses that can safely be administered.

Improved quality of care for patients infected or colonised with ESBL-producing Enterobacteriaceae in a French teaching hospital: impact of an interventional prospective study and development of specific tools.

PubMed

Mondain, Véronique; Lieutier, Florence; Pulcini, Céline; Degand, Nicolas; Landraud, Luce; Ruimy, Raymond; Fosse, Thierry; Roger, Pierre Marie

2018-05-01

The increasing incidence of ESBL-producing Enterobacteriaceae (ESBL-E) in France prompted the publication of national recommendations in 2010. Based on these, we developed a toolkit and a warning system to optimise management of ESBL-E infected or colonised patients in both community and hospital settings. The impact of this initiative on quality of care was assessed in a teaching hospital. The ESBL toolkit was developed in 2011 during multidisciplinary meetings involving a regional network of hospital, private clinic and laboratory staff in Southeastern France. It includes antibiotic treatment protocols, a check list, mail templates and a patient information sheet focusing on infection control. Upon identification of ESBL-E, the warning system involves alerting the attending physician and the infectious disease (ID) advisor, with immediate, advice-based implementation of the toolkit. The procedure and toolkit were tested in our teaching hospital. Patient management was compared before and after implementation of the toolkit over two 3-month periods (July-October 2010 and 2012). Implementation of the ESBL-E warning system and ESBL-E toolkit was tested for 87 patients in 2010 and 92 patients in 2012, resulting in improved patient management: expert advice sought and followed (16 vs 97%), information provided to the patient's general practitioner (18 vs 63%) and coding of the condition in the patient's medical file (17 vs 59%), respectively. Our multidisciplinary strategy improved quality of care for in-patients infected or colonised with ESBL-E, increasing compliance with national recommendations.

Education - employment partnership for VET in the fashion sector

NASA Astrophysics Data System (ADS)

Ursache, M.; Avădanei, M. L.; Ionesi, D. S.; Loghin, E.

2017-10-01

The paper presents the objectives, the innovative aspects, the planned outputs and the current results of the project entitled “Education - Employment Partnership for VET in the fashion sector”. The project is co-financed by the European Commission under the Erasmus+ Programme, Key Action 2 - Strategic Partnerships in the Field of Education, Training, Youth and Sport. The project aims mainly the at developing a European teaching and training Toolkit for supporting the implementation of Work-Based Learning (WBL) in all stages of vocational education and training (VET) in the fashion sector. Moreover, the project will support the implementation of quality assurance mechanisms for WBL in VET in the fashion sector with a specific focus on feedback loops between iVET and cVET systems. The project consortium is composed by nine partners from four countries (Romania, Bulgaria, Italy and Netherlands) representing two iVET providers, a university a Chamber of Commerce, a Federation of SMEs connected with fashion industries, one research institution, one company in clothing and fashion sector, two consulting companies with experience in education and training policies. The actual research results presented in the paper are based on the survey oriented to the training needs and the impact and benefits of WBL implementation. The data were collected from educational organizations. Also, examples of good practices showing the different challenges and benefits of WBL implementation, were identified.

Resource Toolkit for Working with Education Service Providers

ERIC Educational Resources Information Center

National Association of Charter School Authorizers (NJ1), 2005

2005-01-01

This resource toolkit for working education service providers contains four sections. Section 1, "Roles Responsibilities, and Relationships," contains: (1) "Purchasing Services from an Educational Management Organization," excerpted from "The Charter School Administrative and Governance Guide" (Massachusetts Dept. of…

The Role of Institutional Research in a High Profile Study of Undergraduate Research

ERIC Educational Resources Information Center

Webber, Karen L.

2012-01-01

Armed with a strong toolkit of knowledge and skills, institutional research (IR) professionals often serve as collaborators with campus colleagues who may need assistance with survey design, statistical analysis, program review, and assessment of individual programs or the institution. This paper discusses the role that an IR professional played…

Enriching Higher Education with Social Media: Development and Evaluation of a Social Media Toolkit

ERIC Educational Resources Information Center

Gülbahar, Yasemin; Rapp, Christian; Kilis, Selcan; Sitnikova, Anna

2017-01-01

While ubiquitous in everyday use, in reality, social media usage within higher education teaching has expanded quite slowly. Analysis of social media usage of students and instructors for teaching, learning, and research purposes across four countries (Russia, Turkey, Germany, and Switzerland) showed that many higher education instructors actively…

The Model Analyst’s Toolkit: Scientific Model Development, Analysis, and Validation

DTIC Science & Technology

2014-08-20

many different synthetic series can be generated at once. If the series already exists in the dataset, it is updated to reflect the new values. The...Testing for causality: a personal viewpoint. Journal of Economic Dynamics and Control, 2, 329-352. Manning, C., Raghavan, R., and Schutze , H. (2008

Prostate Cancer Ambassadors

PubMed Central

Vines, Anissa I.; Hunter, Jaimie C.; Carlisle, Veronica A.; Richmond, Alan N.

2016-01-01

African American men bear a higher burden of prostate cancer than Caucasian men, but knowledge about how to make an informed decision about prostate cancer screening is limited. A lay health advisor model was used to train “Prostate Cancer Ambassadors” on prostate cancer risk and symptoms, how to make an informed decision for prostate-specific antigen screening, and how to deliver the information to members of their community. Training consisted of two, 6-hour interactive sessions and was implemented in three predominantly African American communities over an 8-month period between 2013 and 2014. Following training, Ambassadors committed to contacting at least 10 people within 3 months using a toolkit composed of wallet-sized informational cards for distribution, a slide presentation, and a flip chart. Thirty-two Ambassadors were trained, with more than half being females (59%) and half reporting a family history of prostate cancer. Prostate cancer knowledge improved significantly among Ambassadors (p ≤ .0001). Self-efficacy improved significantly for performing outreach tasks (p < .0001), and among women in helping a loved one with making an informed decision (p = .005). There was also an improvement in collective efficacy in team members (p = .0003). Twenty-nine of the Ambassadors fulfilled their commitment to reach at least 10 people (average number of contacts per Ambassador was 11). In total, 355 individuals were reached with the prostate cancer information. The Ambassador training program proved successful in training Ambassadors to reach communities about prostate cancer and how to make an informed decision about screening. PMID:27099348

Improving safety on rural local and tribal roads safety toolkit.

DOT National Transportation Integrated Search

2014-08-01

Rural roadway safety is an important issue for communities throughout the country and presents a challenge for state, local, and Tribal agencies. The Improving Safety on Rural Local and Tribal Roads Safety Toolkit was created to help rural local ...

A methodological toolkit for field assessments of artisanally mined alluvial diamond deposits

USGS Publications Warehouse

Chirico, Peter G.; Malpeli, Katherine C.

2014-01-01

This toolkit provides a standardized checklist of critical issues relevant to artisanal mining-related field research. An integrated sociophysical geographic approach to collecting data at artisanal mine sites is outlined. The implementation and results of a multistakeholder approach to data collection, carried out in the assessment of Guinea’s artisanally mined diamond deposits, also are summarized. This toolkit, based on recent and successful field campaigns in West Africa, has been developed as a reference document to assist other government agencies or organizations in collecting the data necessary for artisanal diamond mining or similar natural resource assessments.

TRSkit: A Simple Digital Library Toolkit

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Esler, Sandra L.

1997-01-01

This paper introduces TRSkit, a simple and effective toolkit for building digital libraries on the World Wide Web. The toolkit was developed for the creation of the Langley Technical Report Server and the NASA Technical Report Server, but is applicable to most simple distribution paradigms. TRSkit contains a handful of freely available software components designed to be run under the UNIX operating system and served via the World Wide Web. The intended customer is the person that must continuously and synchronously distribute anywhere from 100 - 100,000's of information units and does not have extensive resources to devote to the problem.

RAVE—a Detector-independent vertex reconstruction toolkit

NASA Astrophysics Data System (ADS)

Waltenberger, Wolfgang; Mitaroff, Winfried; Moser, Fabian

2007-10-01

A detector-independent toolkit for vertex reconstruction (RAVE ) is being developed, along with a standalone framework (VERTIGO ) for testing, analyzing and debugging. The core algorithms represent state of the art for geometric vertex finding and fitting by both linear (Kalman filter) and robust estimation methods. Main design goals are ease of use, flexibility for embedding into existing software frameworks, extensibility, and openness. The implementation is based on modern object-oriented techniques, is coded in C++ with interfaces for Java and Python, and follows an open-source approach. A beta release is available. VERTIGO = "vertex reconstruction toolkit and interface to generic objects".

Testing Video and Social Media for Engaging Users of the U.S. Climate Resilience Toolkit

NASA Astrophysics Data System (ADS)

Green, C. J.; Gardiner, N.; Niepold, F., III; Esposito, C.

2015-12-01

We developed a custom video production stye and a method for analyzing social media behavior so that we may deliberately build and track audience growth for decision-support tools and case studies within the U.S. Climate Resilience Toolkit. The new style of video focuses quickly on decision processes; its 30s format is well-suited for deployment through social media. We measured both traffic and engagement with video using Google Analytics. Each video included an embedded tag, allowing us to measure viewers' behavior: whether or not they entered the toolkit website; the duration of their session on the website; and the number pages they visited in that session. Results showed that video promotion was more effective on Facebook than Twitter. Facebook links generated twice the number of visits to the toolkit. Videos also increased Facebook interaction overall. Because most Facebook users are return visitors, this campaign did not substantially draw new site visitors. We continue to research and apply these methods in a targeted engagement and outreach campaign that utilizes the theory of social diffusion and social influence strategies to grow our audience of "influential" decision-makers and people within their social networks. Our goal is to increase access and use of the U.S. Climate Resilience Toolkit.

Genetic Engineering of Bee Gut Microbiome Bacteria with a Toolkit for Modular Assembly of Broad-Host-Range Plasmids.

PubMed

Leonard, Sean P; Perutka, Jiri; Powell, J Elijah; Geng, Peng; Richhart, Darby D; Byrom, Michelle; Kar, Shaunak; Davies, Bryan W; Ellington, Andrew D; Moran, Nancy A; Barrick, Jeffrey E

2018-05-18

Engineering the bacteria present in animal microbiomes promises to lead to breakthroughs in medicine and agriculture, but progress is hampered by a dearth of tools for genetically modifying the diverse species that comprise these communities. Here we present a toolkit of genetic parts for the modular construction of broad-host-range plasmids built around the RSF1010 replicon. Golden Gate assembly of parts in this toolkit can be used to rapidly test various antibiotic resistance markers, promoters, fluorescent reporters, and other coding sequences in newly isolated bacteria. We demonstrate the utility of this toolkit in multiple species of Proteobacteria that are native to the gut microbiomes of honey bees ( Apis mellifera) and bumble bees (B ombus sp.). Expressing fluorescent proteins in Snodgrassella alvi, Gilliamella apicola, Bartonella apis, and Serratia strains enables us to visualize how these bacteria colonize the bee gut. We also demonstrate CRISPRi repression in B. apis and use Cas9-facilitated knockout of an S. alvi adhesion gene to show that it is important for colonization of the gut. Beyond characterizing how the gut microbiome influences the health of these prominent pollinators, this bee microbiome toolkit (BTK) will be useful for engineering bacteria found in other natural microbial communities.

Improving the Identification of Neonatal Encephalopathy: Utility of a Web-Based Video Tool.

PubMed

Ivy, Autumn S; Clark, Catherine L; Bahm, Sarah M; Meurs, Krisa P Van; Wusthoff, Courtney J

2017-04-01

Objective  This study tested the effectiveness of a video teaching tool in improving identification and classification of encephalopathy in infants. Study Design  We developed an innovative video teaching tool to help clinicians improve their skills in interpreting the neonatal neurological examination for grading encephalopathy. Pediatric residents were shown 1-minute video clips demonstrating exam findings in normal neonates and neonates with various degrees of encephalopathy. Findings from five domains were demonstrated: spontaneous activity, level of alertness, posture/tone, reflexes, and autonomic responses. After each clip, subjects were asked to identify whether the exam finding was normal or consistent with mild, moderate, or severe abnormality. Subjects were then directed to a web-based teaching toolkit, containing a compilation of videos demonstrating normal and abnormal findings on the neonatal neurological examination. Immediately after training, subjects underwent posttesting, again identifying exam findings as normal, mild, moderate, or severe abnormality. Results  Residents improved in their overall ability to identify and classify neonatal encephalopathy after viewing the teaching tool. In particular, the identification of abnormal spontaneous activity, reflexes, and autonomic responses were most improved. Conclusion  This pretest/posttest evaluation of an educational tool demonstrates that after viewing our toolkit, pediatric residents were able to improve their overall ability to detect neonatal encephalopathy. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

The MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button

PubMed Central

2010-01-01

Background There is a huge demand on bioinformaticians to provide their biologists with user friendly and scalable software infrastructures to capture, exchange, and exploit the unprecedented amounts of new *omics data. We here present MOLGENIS, a generic, open source, software toolkit to quickly produce the bespoke MOLecular GENetics Information Systems needed. Methods The MOLGENIS toolkit provides bioinformaticians with a simple language to model biological data structures and user interfaces. At the push of a button, MOLGENIS’ generator suite automatically translates these models into a feature-rich, ready-to-use web application including database, user interfaces, exchange formats, and scriptable interfaces. Each generator is a template of SQL, JAVA, R, or HTML code that would require much effort to write by hand. This ‘model-driven’ method ensures reuse of best practices and improves quality because the modeling language and generators are shared between all MOLGENIS applications, so that errors are found quickly and improvements are shared easily by a re-generation. A plug-in mechanism ensures that both the generator suite and generated product can be customized just as much as hand-written software. Results In recent years we have successfully evaluated the MOLGENIS toolkit for the rapid prototyping of many types of biomedical applications, including next-generation sequencing, GWAS, QTL, proteomics and biobanking. Writing 500 lines of model XML typically replaces 15,000 lines of hand-written programming code, which allows for quick adaptation if the information system is not yet to the biologist’s satisfaction. Each application generated with MOLGENIS comes with an optimized database back-end, user interfaces for biologists to manage and exploit their data, programming interfaces for bioinformaticians to script analysis tools in R, Java, SOAP, REST/JSON and RDF, a tab-delimited file format to ease upload and exchange of data, and detailed technical documentation. Existing databases can be quickly enhanced with MOLGENIS generated interfaces using the ‘ExtractModel’ procedure. Conclusions The MOLGENIS toolkit provides bioinformaticians with a simple model to quickly generate flexible web platforms for all possible genomic, molecular and phenotypic experiments with a richness of interfaces not provided by other tools. All the software and manuals are available free as LGPLv3 open source at http://www.molgenis.org. PMID:21210979

Assessment of household preparedness through training exercises--two metropolitan counties, Tennessee, 2011.

PubMed

2012-09-14

Public health emergency preparedness involves improving both workforce and household capacity to manage disasters. To improve preparedness at both levels, the Tennessee Department of Health (TDH) formed a Rapid Assessment of Populations Impacted by Disasters (RAPID) team. In 2011, the team used Community Assessment for Public Health Emergency Response (CASPER) two-stage cluster sampling methodology to measure household preparedness for disasters or emergencies in two metropolitan counties. In the two counties, 23% and 31% of households reported being "well-prepared" to handle disasters or emergencies, 43% and 44% reported being "somewhat prepared," and 25% and 20% reported being "not at all prepared." As a result of this experience, RAPID teams were able to improve their methods, streamline processes, and create a better community assessment toolkit. To increase preparedness at both the community and workforce levels, public health departments should assess community preparedness to inform the planning process and provide field training and exercise opportunities for public health workers.

Process analytical technology in the pharmaceutical industry: a toolkit for continuous improvement.

PubMed

Scott, Bradley; Wilcock, Anne

2006-01-01

Process analytical technology (PAT) refers to a series of tools used to ensure that quality is built into products while at the same time improving the understanding of processes, increasing efficiency, and decreasing costs. It has not been widely adopted by the pharmaceutical industry. As the setting for this paper, the current pharmaceutical manufacturing paradigm and PAT guidance to date are discussed prior to the review of PAT principles and tools, benefits, and challenges. The PAT toolkit contains process analyzers, multivariate analysis tools, process control tools, and continuous improvement/knowledge management/information technology systems. The integration and implementation of these tools is complex, and has resulted in uncertainty with respect to both regulation and validation. The paucity of staff knowledgeable in this area may complicate adoption. Studies to quantitate the benefits resulting from the adoption of PAT within the pharmaceutical industry would be a valuable addition to the qualitative studies that are currently available.

PDB@: an offline toolkit for exploration and analysis of PDB files.

PubMed

Mani, Udayakumar; Ravisankar, Sadhana; Ramakrishnan, Sai Mukund

2013-12-01

Protein Data Bank (PDB) is a freely accessible archive of the 3-D structural data of biological molecules. Structure based studies offers a unique vantage point in inferring the properties of a protein molecule from structural data. This is too big a task to be done manually. Moreover, there is no single tool, software or server that comprehensively analyses all structure-based properties. The objective of the present work is to develop an offline computational toolkit, PDB@ containing in-built algorithms that help categorizing the structural properties of a protein molecule. The user has the facility to view and edit the PDB file to his need. Some features of the present work are unique in itself and others are an improvement over existing tools. Also, the representation of protein properties in both graphical and textual formats helps in predicting all the necessary details of a protein molecule on a single platform.

Status Report on NEAMS PROTEUS/ORIGEN Integration

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

Wieselquist, William A

2016-02-18

The US Department of Energy’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program has contributed significantly to the development of the PROTEUS neutron transport code at Argonne National Laboratory and to the Oak Ridge Isotope Generation and Depletion Code (ORIGEN) depletion/decay code at Oak Ridge National Laboratory. PROTEUS’s key capability is the efficient and scalable (up to hundreds of thousands of cores) neutron transport solver on general, unstructured, three-dimensional finite-element-type meshes. The scalability and mesh generality enable the transfer of neutron and power distributions to other codes in the NEAMS toolkit for advanced multiphysics analysis. Recently, ORIGEN has received considerablemore » modernization to provide the high-performance depletion/decay capability within the NEAMS toolkit. This work presents a description of the initial integration of ORIGEN in PROTEUS, mainly performed during FY 2015, with minor updates in FY 2016.« less

The Communities Advancing Resilience Toolkit (CART): an intervention to build community resilience to disasters.

PubMed

Pfefferbaum, Rose L; Pfefferbaum, Betty; Van Horn, Richard L; Klomp, Richard W; Norris, Fran H; Reissman, Dori B

2013-01-01

Community resilience has emerged as a construct to support and foster healthy individual, family, and community adaptation to mass casualty incidents. The Communities Advancing Resilience Toolkit (CART) is a publicly available theory-based and evidence-informed community intervention designed to enhance community resilience by bringing stakeholders together to address community issues in a process that includes assessment, feedback, planning, and action. Tools include a field-tested community resilience survey and other assessment and analytical instruments. The CART process encourages public engagement in problem solving and the development and use of local assets to address community needs. CART recognizes 4 interrelated domains that contribute to community resilience: connection and caring, resources, transformative potential, and disaster management. The primary value of CART is its contribution to community participation, communication, self-awareness, cooperation, and critical reflection and its ability to stimulate analysis, collaboration, skill building, resource sharing, and purposeful action.

Phenomenology as a resource for patients.

PubMed

Carel, Havi

2012-04-01

Patient support tools have drawn on a variety of disciplines, including psychotherapy, social psychology, and social care. One discipline that has not so far been used to support patients is philosophy. This paper proposes that a particular philosophical approach, phenomenology, could prove useful for patients, giving them tools to reflect on and expand their understanding of their illness. I present a framework for a resource that could help patients to philosophically examine their illness, its impact on their life, and its meaning. I explain the need for such a resource, provide philosophical grounding for it, and outline the epistemic and existential gains philosophy offers. Illness often begins as an intrusion on one's life but with time becomes a way of being. I argue that this transition impacts on core human features such as the experience of space and time, human abilities, and adaptability. It therefore requires philosophical analysis and response. The paper uses ideas from Husserl and Merleau-Ponty to present such a response in the form of a phenomenological toolkit for patients. The toolkit includes viewing illness as a form of phenomenological reduction, thematizing illness, and examining illness as altering the ill person's being in the world. I suggest that this toolkit could be offered to patients as a workshop, using phenomenological concepts, texts, and film clips to reflect on illness. I conclude by arguing that examining illness as a limit case of embodied existence deepens our understanding of phenomenology.

Marine Debris and Plastic Source Reduction Toolkit

EPA Pesticide Factsheets

Many plastic food service ware items originate on college and university campuses—in cafeterias, snack rooms, cafés, and eateries with take-out dining options. This Campus Toolkit is a detailed “how to” guide for reducing plastic waste on college campuses.

77 FR 73023 - U.S. Environmental Solutions Toolkit

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-07

... officials and foreign end-users of environmental technologies that will outline U.S. [[Page 73024.... approaches to solving environmental problems and to U.S. companies that can export related technologies. The... DEPARTMENT OF COMMERCE International Trade Administration U.S. Environmental Solutions Toolkit...

Pathology Informatics Essentials for Residents: A Flexible Informatics Curriculum Linked to Accreditation Council for Graduate Medical Education Milestones.

PubMed

Henricks, Walter H; Karcher, Donald S; Harrison, James H; Sinard, John H; Riben, Michael W; Boyer, Philip J; Plath, Sue; Thompson, Arlene; Pantanowitz, Liron

2017-01-01

-Recognition of the importance of informatics to the practice of pathology has surged. Training residents in pathology informatics has been a daunting task for most residency programs in the United States because faculty often lacks experience and training resources. Nevertheless, developing resident competence in informatics is essential for the future of pathology as a specialty. -To develop and deliver a pathology informatics curriculum and instructional framework that guides pathology residency programs in training residents in critical pathology informatics knowledge and skills, and meets Accreditation Council for Graduate Medical Education Informatics Milestones. -The College of American Pathologists, Association of Pathology Chairs, and Association for Pathology Informatics formed a partnership and expert work group to identify critical pathology informatics training outcomes and to create a highly adaptable curriculum and instructional approach, supported by a multiyear change management strategy. -Pathology Informatics Essentials for Residents (PIER) is a rigorous approach for educating all pathology residents in important pathology informatics knowledge and skills. PIER includes an instructional resource guide and toolkit for incorporating informatics training into residency programs that vary in needs, size, settings, and resources. PIER is available at http://www.apcprods.org/PIER (accessed April 6, 2016). -PIER is an important contribution to informatics training in pathology residency programs. PIER introduces pathology trainees to broadly useful informatics concepts and tools that are relevant to practice. PIER provides residency program directors with a means to implement a standardized informatics training curriculum, to adapt the approach to local program needs, and to evaluate resident performance and progress over time.

Prostate Cancer Ambassadors: Process and Outcomes of a Prostate Cancer Informed Decision-Making Training Program.

PubMed

Vines, Anissa I; Hunter, Jaimie C; Carlisle, Veronica A; Richmond, Alan N

2016-04-19

African American men bear a higher burden of prostate cancer than Caucasian men, but knowledge about how to make an informed decision about prostate cancer screening is limited. A lay health advisor model was used to train "Prostate Cancer Ambassadors" on prostate cancer risk and symptoms, how to make an informed decision for prostate-specific antigen screening, and how to deliver the information to members of their community. Training consisted of two, 6-hour interactive sessions and was implemented in three predominantly African American communities over an 8-month period between 2013 and 2014. Following training, Ambassadors committed to contacting at least 10 people within 3 months using a toolkit composed of wallet-sized informational cards for distribution, a slide presentation, and a flip chart. Thirty-two Ambassadors were trained, with more than half being females (59%) and half reporting a family history of prostate cancer. Prostate cancer knowledge improved significantly among Ambassadors (p≤ .0001). Self-efficacy improved significantly for performing outreach tasks (p< .0001), and among women in helping a loved one with making an informed decision (p= .005). There was also an improvement in collective efficacy in team members (p= .0003). Twenty-nine of the Ambassadors fulfilled their commitment to reach at least 10 people (average number of contacts per Ambassador was 11). In total, 355 individuals were reached with the prostate cancer information. The Ambassador training program proved successful in training Ambassadors to reach communities about prostate cancer and how to make an informed decision about screening. © The Author(s) 2016.

Training-of-trainers: A strategy to build country capacity for SLMTA expansion and sustainability

PubMed Central

Yao, Katy; Ndlovu, Nqobile; Moyo, Sikhulile

2014-01-01

Background The Strengthening Laboratory Management Toward Accreditation (SLMTA) programme uses a training-of-trainers (TOT) model to build capacity for programme scale-up. The TOT strategy is designed to maximise utilisation of its graduates whilst minimising inconsistencies and ensuring high programme quality during global expansion. Objectives To describe the SLMTA TOT programme approach. Methods The two-week training, led by carefully selected and trained master trainers, enables effective and authentic implementation of the curriculum by its graduates. The teachback methodology used allows participants to practise teaching the curriculum whilst learning its content. A trainer’s toolkit provides all the materials necessary for teaching and must be followed faithfully during training. Two surveys were conducted to assess the effectiveness of the TOT strategy: one sent to 316 TOT graduates in 25 countries and the other sent to the programme leaders in 10 countries. Results By the end of 2013, 433 SLMTA trainers had been trained who, in turn, taught more than 1900 people to implement SLMTA in 617 laboratories in 47 countries. Ninety-seven percent of the 433 TOT graduates and 87% of the 38 master trainers are based in developing countries. Ninety-two per cent of the graduates have been utilised at least once in programme implementation and, as of August 2013, 87% of them were still actively involved in programme activities. Ninety-seven per cent of the graduates stated that the TOT workshop prepared them well for training or other programme tasks. Conclusion The SLMTA TOT strategy is effective in building local capacity for global programme expansion whilst maintaining programme quality. PMID:26753131

A randomized controlled trial to test the efficacy of the SCI Get Fit Toolkit on leisure-time physical activity behaviour and social-cognitive processes in adults with spinal cord injury.

PubMed

Arbour-Nicitopoulos, Kelly P; Sweet, Shane N; Lamontagne, Marie-Eve; Ginis, Kathleen A Martin; Jeske, Samantha; Routhier, François; Latimer-Cheung, Amy E

2017-01-01

Single blind, two-group randomized controlled trial. To evaluate the efficacy of the SCI Get Fit Toolkit delivered online on theoretical constructs and moderate-to-vigorous physical activity (MVPA) among adults with SCI. Ontario and Quebec, Canada. Inactive, English- and French-speaking Canadian adults with traumatic SCI with Internet access, and no self-reported cognitive or memory impairments. Participants ( N =90 M age =48.12±11.29 years; 79% male) were randomized to view the SCI Get Fit Toolkit or the Physical Activity Guidelines for adults with SCI (PAG-SCI) online. Primary (intentions) and secondary (outcome expectancies, self-efficacy, planning and MVPA behaviour) outcomes were assessed over a 1-month period. Of the 90 participants randomized, 77 were included in the analyses. Participants viewed the experimental stimuli only briefly, reading the 4-page toolkit for approximately 2.5 min longer than the 1-page guideline document. No condition effects were found for intentions, outcome expectancies, self-efficacy, and planning (ΔR 2 ⩽0.03). Individuals in the toolkit condition were more likely to participate in at least one bout of 20 min of MVPA behaviour at 1-week post-intervention compared to individuals in the guidelines condition (OR=3.54, 95% CI=0.95, 13.17). However, no differences were found when examining change in weekly minutes of MVPA or comparing whether participants met the PAG-SCI. No firm conclusions can be made regarding the impact of the SCI Get Fit Toolkit in comparison to the PAG-SCI on social cognitions and MVPA behaviour. The limited online access to this resource may partially explain these null findings.

Development and formative evaluation of the e-Health Implementation Toolkit (e-HIT).

PubMed

Murray, Elizabeth; May, Carl; Mair, Frances

2010-10-18

The use of Information and Communication Technology (ICT) or e-Health is seen as essential for a modern, cost-effective health service. However, there are well documented problems with implementation of e-Health initiatives, despite the existence of a great deal of research into how best to implement e-Health (an example of the gap between research and practice). This paper reports on the development and formative evaluation of an e-Health Implementation Toolkit (e-HIT) which aims to summarise and synthesise new and existing research on implementation of e-Health initiatives, and present it to senior managers in a user-friendly format. The content of the e-HIT was derived by combining data from a systematic review of reviews of barriers and facilitators to implementation of e-Health initiatives with qualitative data derived from interviews of "implementers", that is people who had been charged with implementing an e-Health initiative. These data were summarised, synthesised and combined with the constructs from the Normalisation Process Model. The software for the toolkit was developed by a commercial company (RocketScience). Formative evaluation was undertaken by obtaining user feedback. There are three components to the toolkit--a section on background and instructions for use aimed at novice users; the toolkit itself; and the report generated by completing the toolkit. It is available to download from http://www.ucl.ac.uk/pcph/research/ehealth/documents/e-HIT.xls. The e-HIT shows potential as a tool for enhancing future e-Health implementations. Further work is needed to make it fully web-enabled, and to determine its predictive potential for future implementations.

Development and formative evaluation of the e-Health Implementation Toolkit (e-HIT)

PubMed Central

2010-01-01

Background The use of Information and Communication Technology (ICT) or e-Health is seen as essential for a modern, cost-effective health service. However, there are well documented problems with implementation of e-Health initiatives, despite the existence of a great deal of research into how best to implement e-Health (an example of the gap between research and practice). This paper reports on the development and formative evaluation of an e-Health Implementation Toolkit (e-HIT) which aims to summarise and synthesise new and existing research on implementation of e-Health initiatives, and present it to senior managers in a user-friendly format. Results The content of the e-HIT was derived by combining data from a systematic review of reviews of barriers and facilitators to implementation of e-Health initiatives with qualitative data derived from interviews of "implementers", that is people who had been charged with implementing an e-Health initiative. These data were summarised, synthesised and combined with the constructs from the Normalisation Process Model. The software for the toolkit was developed by a commercial company (RocketScience). Formative evaluation was undertaken by obtaining user feedback. There are three components to the toolkit - a section on background and instructions for use aimed at novice users; the toolkit itself; and the report generated by completing the toolkit. It is available to download from http://www.ucl.ac.uk/pcph/research/ehealth/documents/e-HIT.xls Conclusions The e-HIT shows potential as a tool for enhancing future e-Health implementations. Further work is needed to make it fully web-enabled, and to determine its predictive potential for future implementations. PMID:20955594

Keep It Sacred | National Native Network

Science.gov Websites

Detection Health Care Coverage Get Involved Resources NNN Webinar Archive Newsletter Archive Podcasts Cancer Guide Tribal Public Health Data Toolkits Smoke-Free Policy Toolkit Success Stories Resource Library Colorectal Cancer Diabetes Fact Sheets & Contact General Health Problems & Cancers General State

Literacy Toolkit

ERIC Educational Resources Information Center

Center for Best Practices in Early Childhood Education, 2005

2005-01-01

The toolkit contains print and electronic resources, including (1) "eMERGing Literacy and Technology: Working Together", A 492 page curriculum guide; (2) "LitTECH Interactive Presents: The Beginning of Literacy", a DVD that provides and overview linking technology to the concepts of emerging literacy; (3) "Your Preschool Classroom Computer Center:…

Monitoring Areal Snow Cover Using NASA Satellite Imagery

NASA Technical Reports Server (NTRS)

Harshburger, Brian J.; Blandford, Troy; Moore, Brandon

2011-01-01

The objective of this project is to develop products and tools to assist in the hydrologic modeling process, including tools to help prepare inputs for hydrologic models and improved methods for the visualization of streamflow forecasts. In addition, this project will facilitate the use of NASA satellite imagery (primarily snow cover imagery) by other federal and state agencies with operational streamflow forecasting responsibilities. A GIS software toolkit for monitoring areal snow cover extent and producing streamflow forecasts is being developed. This toolkit will be packaged as multiple extensions for ArcGIS 9.x and an opensource GIS software package. The toolkit will provide users with a means for ingesting NASA EOS satellite imagery (snow cover analysis), preparing hydrologic model inputs, and visualizing streamflow forecasts. Primary products include a software tool for predicting the presence of snow under clouds in satellite images; a software tool for producing gridded temperature and precipitation forecasts; and a suite of tools for visualizing hydrologic model forecasting results. The toolkit will be an expert system designed for operational users that need to generate accurate streamflow forecasts in a timely manner. The Remote Sensing of Snow Cover Toolbar will ingest snow cover imagery from multiple sources, including the MODIS Operational Snowcover Data and convert them to gridded datasets that can be readily used. Statistical techniques will then be applied to the gridded snow cover data to predict the presence of snow under cloud cover. The toolbar has the ability to ingest both binary and fractional snow cover data. Binary mapping techniques use a set of thresholds to determine whether a pixel contains snow or no snow. Fractional mapping techniques provide information regarding the percentage of each pixel that is covered with snow. After the imagery has been ingested, physiographic data is attached to each cell in the snow cover image. This data can be obtained from a digital elevation model (DEM) for the area of interest.

Toolkit for US colleges/schools of pharmacy to prepare learners for careers in academia.

PubMed

Haines, Seena L; Summa, Maria A; Peeters, Michael J; Dy-Boarman, Eliza A; Boyle, Jaclyn A; Clifford, Kalin M; Willson, Megan N

2017-09-01

The objective of this article is to provide an academic toolkit for use by colleges/schools of pharmacy to prepare student pharmacists/residents for academic careers. Through the American Association of Colleges of Pharmac (AACP) Section of Pharmacy Practice, the Student Resident Engagement Task Force (SRETF) collated teaching materials used by colleges/schools of pharmacy from a previously reported national survey. The SRETF developed a toolkit for student pharmacists/residents interested in academic pharmacy. Eighteen institutions provided materials; five provided materials describing didactic coursework; over fifteen provided materials for an academia-focused Advanced Pharmacy Practice Experiences (APPE), while one provided materials for an APPE teaching-research elective. SRETF members created a syllabus template and sample lesson plan by integrating submitted resources. Submissions still needed to complete the toolkit include examples of curricular tracks and certificate programs. Pharmacy faculty vacancies still exist in pharmacy education. Engaging student pharmacists/residents about academia pillars of teaching, scholarship and service is critical for the future success of the academy. Published by Elsevier Inc.

Hydrogen quantitative risk assessment workshop proceedings.

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

Groth, Katrina M.; Harris, Aaron P.

2013-09-01

The Quantitative Risk Assessment (QRA) Toolkit Introduction Workshop was held at Energetics on June 11-12. The workshop was co-hosted by Sandia National Laboratories (Sandia) and HySafe, the International Association for Hydrogen Safety. The objective of the workshop was twofold: (1) Present a hydrogen-specific methodology and toolkit (currently under development) for conducting QRA to support the development of codes and standards and safety assessments of hydrogen-fueled vehicles and fueling stations, and (2) Obtain feedback on the needs of early-stage users (hydrogen as well as potential leveraging for Compressed Natural Gas [CNG], and Liquefied Natural Gas [LNG]) and set priorities for %E2%80%9CVersionmore » 1%E2%80%9D of the toolkit in the context of the commercial evolution of hydrogen fuel cell electric vehicles (FCEV). The workshop consisted of an introduction and three technical sessions: Risk Informed Development and Approach; CNG/LNG Applications; and Introduction of a Hydrogen Specific QRA Toolkit.« less

Assessing Coverage of Population-Based and Targeted Fortification Programs with the Use of the Fortification Assessment Coverage Toolkit (FACT): Background, Toolkit Development, and Supplement Overview.

PubMed

Friesen, Valerie M; Aaron, Grant J; Myatt, Mark; Neufeld, Lynnette M

2017-05-01

Food fortification is a widely used approach to increase micronutrient intake in the diet. High coverage is essential for achieving impact. Data on coverage is limited in many countries, and tools to assess coverage of fortification programs have not been standardized. In 2013, the Global Alliance for Improved Nutrition developed the Fortification Assessment Coverage Toolkit (FACT) to carry out coverage assessments in both population-based (i.e., staple foods and/or condiments) and targeted (e.g., infant and young child) fortification programs. The toolkit was designed to generate evidence on program coverage and the use of fortified foods to provide timely and programmatically relevant information for decision making. This supplement presents results from FACT surveys that assessed the coverage of population-based and targeted food fortification programs across 14 countries. It then discusses the policy and program implications of the findings for the potential for impact and program improvement.

Assessing Underserved Students' Engagement in High-Impact Practices. With an Assessing Equity in High-Impact Practices Toolkit

ERIC Educational Resources Information Center

Finley, Ashley; McNair, Tia

2013-01-01

This publication presents findings from a national study conducted by AAC&U researchers to investigate the impact of engagement in high-impact practices on traditionally underserved populations (defined here as first-generation, minority, transfer, and low-income students).The mixed-method analysis includes student-level data on engaged…

Using Morphological Analysis for Final Project Planning in Multimedia Journalism Courses

ERIC Educational Resources Information Center

Medvedeva, Yulia S.

2016-01-01

Journalistic skills courses often involve the production of a media project such as a multimedia website, which requires students to decide which media in their multimedia toolkit can best convey the story. To make the right match between content and form, students should understand the advantages of each of the available modes of communication.…

Headteacher Autonomy: A Sketch of a Bourdieuian Field Analysis of Position and Practice

ERIC Educational Resources Information Center

Thomson, Pat

2010-01-01

Bourdieu argued that his research was biographical: he sought to reflexively understand the social production of many of his life experiences without resorting to the illusion that they were unique, a-historical and transparent. To this end he systematically developed and applied a methodological toolkit, built around the concepts of field,…

WIND Toolkit Offshore Summary Dataset

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

Draxl, Caroline; Musial, Walt; Scott, George

This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats: GDB - Compressed geodatabases containing statistical summaries aligned with lease blocks (aliquots) stored in a GIS format. These data are partitioned into Pacific, Atlantic, and Gulf resource regions. HDF5 - Statistical summaries of all points in the offshore Pacific, Atlantic, and Gulf offshore regions. These data are located on the original WIND Toolkit grid and have not been reassigned or downsampled to lease blocks. These data were developed under contractmore » by NREL for the Bureau of Oceanic Energy Management (BOEM).« less

An Industrial Physics Toolkit

NASA Astrophysics Data System (ADS)

Cummings, Bill

2004-03-01

Physicists possess many skills highly valued in industrial companies. However, with the exception of a decreasing number of positions in long range research at large companies, job openings in industry rarely say "Physicist Required." One key to a successful industrial career is to know what subset of your physics skills is most highly valued by a given industry and to continue to build these skills while working. This combination of skills from both academic and industrial experience becomes your "Industrial Physics Toolkit" and is a transferable resource when you change positions or companies. This presentation will describe how one builds and sells your own "Industrial Physics Toolkit" using concrete examples from the speaker's industrial experience.

WIRM: An Open Source Toolkit for Building Biomedical Web Applications

PubMed Central

Jakobovits, Rex M.; Rosse, Cornelius; Brinkley, James F.

2002-01-01

This article describes an innovative software toolkit that allows the creation of web applications that facilitate the acquisition, integration, and dissemination of multimedia biomedical data over the web, thereby reducing the cost of knowledge sharing. There is a lack of high-level web application development tools suitable for use by researchers, clinicians, and educators who are not skilled programmers. Our Web Interfacing Repository Manager (WIRM) is a software toolkit that reduces the complexity of building custom biomedical web applications. WIRM’s visual modeling tools enable domain experts to describe the structure of their knowledge, from which WIRM automatically generates full-featured, customizable content management systems. PMID:12386108

RAPID Toolkit Creates Smooth Flow Toward New Projects

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

Levine, Aaron; Young, Katherine

2016-07-01

Uncertainty about the duration and outcome of the permitting process has historically been seen as a deterrent to investment in renewable energy projects, including new hydropower projects. What if the process were clearer, smoother, faster? That's the purpose of the Regulatory and Permitting Information Desktop (RAPID) Toolkit, developed by the National Renewable Energy Laboratory (NREL) with funding from the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy and the Western Governors' Association. Now, the RAPID Toolkit is being expanded to include information about developing and permitting hydropower projects, with initial outreach and information gathering occurring duringmore » 2015.« less

Effects of personal identifier resynthesis on clinical text de-identification.

PubMed

Yeniterzi, Reyyan; Aberdeen, John; Bayer, Samuel; Wellner, Ben; Hirschman, Lynette; Malin, Bradley

2010-01-01

De-identified medical records are critical to biomedical research. Text de-identification software exists, including "resynthesis" components that replace real identifiers with synthetic identifiers. The goal of this research is to evaluate the effectiveness and examine possible bias introduced by resynthesis on de-identification software. We evaluated the open-source MITRE Identification Scrubber Toolkit, which includes a resynthesis capability, with clinical text from Vanderbilt University Medical Center patient records. We investigated four record classes from over 500 patients' files, including laboratory reports, medication orders, discharge summaries and clinical notes. We trained and tested the de-identification tool on real and resynthesized records. We measured performance in terms of precision, recall, F-measure and accuracy for the detection of protected health identifiers as designated by the HIPAA Safe Harbor Rule. The de-identification tool was trained and tested on a collection of real and resynthesized Vanderbilt records. Results for training and testing on the real records were 0.990 accuracy and 0.960 F-measure. The results improved when trained and tested on resynthesized records with 0.998 accuracy and 0.980 F-measure but deteriorated moderately when trained on real records and tested on resynthesized records with 0.989 accuracy 0.862 F-measure. Moreover, the results declined significantly when trained on resynthesized records and tested on real records with 0.942 accuracy and 0.728 F-measure. The de-identification tool achieves high accuracy when training and test sets are homogeneous (ie, both real or resynthesized records). The resynthesis component regularizes the data to make them less "realistic," resulting in loss of performance particularly when training on resynthesized data and testing on real data.

Communication training: Skills and beyond.

PubMed

Deveugele, Myriam

2015-10-01

As communication is a central part of every interpersonal meeting within healthcare and research reveals several benefits of effective communication, we need to teach students and practitioners how to communicate with patients and with colleagues. This paper reflects on what and how to teach. In the previous century two major changes occurred: clinical relationship between doctor and patient became important and patients became partners in care. Clinicians experienced that outcome and especially compliance was influenced by the relational aspect and in particular by the communicative skills of the physician. This paper reflects on teaching and defines problems. It gives some implications for the future. Although communication skills training is reinforced in most curricula all over the word, huge implementation problems arise; most of the time a coherent framework is lacking, training is limited in time, not integrated in the curriculum and scarcely contextualized, often no formal training nor teaching strategies are defined. Moreover evidence on communication skills training is scarce or contradictory. Knowing when, what, how can be seen as an essential part of skills training. But students need to be taught to reflect on every behavior during every medical consultation. Three major implications can be helpful to overcome the problems in communication training. First research and education on healthcare issues need to go hand in hand. Second, students as well as healthcare professionals need a toolkit of basic skills to give them the opportunity not only to tackle basic and serious problems, but to incorporate these skills and to be able to use them in a personal and creative way. Third, personal reflection on own communicative actions and dealing with interdisciplinary topics is a core business of medical communication and training. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

A Toolkit to Implement Graduate Attributes in Geography Curricula

ERIC Educational Resources Information Center

Spronken-Smith, Rachel; McLean, Angela; Smith, Nell; Bond, Carol; Jenkins, Martin; Marshall, Stephen; Frielick, Stanley

2016-01-01

This article uses findings from a project on engagement with graduate outcomes across higher education institutions in New Zealand to produce a toolkit for implementing graduate attributes in geography curricula. Key facets include strong leadership; academic developers to facilitate conversations about graduate attributes and teaching towards…

Developments in Geometric Metadata and Tools at the PDS Ring-Moon Systems Node

NASA Astrophysics Data System (ADS)

Showalter, M. R.; Ballard, L.; French, R. S.; Gordon, M. K.; Tiscareno, M. S.

2018-04-01

Object-Oriented Python/SPICE (OOPS) is an overlay on the SPICE toolkit that vastly simplifies and speeds up geometry calculations for planetary data products. This toolkit is the basis for much of the development at the PDS Ring-Moon Systems Node.

Teacher Quality Toolkit. 2nd Edition

ERIC Educational Resources Information Center

Lauer, Patricia A.; Dean, Ceri B.; Martin-Glenn, Mya L.; Asensio, Margaret L.

2005-01-01

The Teacher Quality Toolkit addresses the continuum of teacher learning by providing tools that can be used to improve both preservice, and inservice teacher education. Each chapter provides self assessment tools that can guide progress toward improved teacher quality and describes resources for designing exemplary programs and practices. Chapters…

WHU at TREC KBA Vital Filtering Track 2014

DTIC Science & Technology

2014-11-01

view the problem as a classification problem and use Stanford NLP Toolkit to extract necessary information. Various kinds of features are leveraged to...profile of an entity. Our approach is to view the problem as a classification problem and use Stanford NLP Toolkit to extract necessary information

Basic Internet Software Toolkit.

ERIC Educational Resources Information Center

Buchanan, Larry

1998-01-01

Once schools are connected to the Internet, the next step is getting network workstations configured for Internet access. This article describes a basic toolkit comprising software currently available on the Internet for free or modest cost. Lists URLs for Web browser, Telnet, FTP, file decompression, portable document format (PDF) reader,…

SatelliteDL: a Toolkit for Analysis of Heterogeneous Satellite Datasets

NASA Astrophysics Data System (ADS)

Galloy, M. D.; Fillmore, D.

2014-12-01

SatelliteDL is an IDL toolkit for the analysis of satellite Earth observations from a diverse set of platforms and sensors. The core function of the toolkit is the spatial and temporal alignment of satellite swath and geostationary data. The design features an abstraction layer that allows for easy inclusion of new datasets in a modular way. Our overarching objective is to create utilities that automate the mundane aspects of satellite data analysis, are extensible and maintainable, and do not place limitations on the analysis itself. IDL has a powerful suite of statistical and visualization tools that can be used in conjunction with SatelliteDL. Toward this end we have constructed SatelliteDL to include (1) HTML and LaTeX API document generation,(2) a unit test framework,(3) automatic message and error logs,(4) HTML and LaTeX plot and table generation, and(5) several real world examples with bundled datasets available for download. For ease of use, datasets, variables and optional workflows may be specified in a flexible format configuration file. Configuration statements may specify, for example, a region and date range, and the creation of images, plots and statistical summary tables for a long list of variables. SatelliteDL enforces data provenance; all data should be traceable and reproducible. The output NetCDF file metadata holds a complete history of the original datasets and their transformations, and a method exists to reconstruct a configuration file from this information. Release 0.1.0 distributes with ingest methods for GOES, MODIS, VIIRS and CERES radiance data (L1) as well as select 2D atmosphere products (L2) such as aerosol and cloud (MODIS and VIIRS) and radiant flux (CERES). Future releases will provide ingest methods for ocean and land surface products, gridded and time averaged datasets (L3 Daily, Monthly and Yearly), and support for 3D products such as temperature and water vapor profiles. Emphasis will be on NPP Sensor, Environmental and Climate Data Records as they become available. To obtain SatelliteDL, please visit the project website at http://www.txcorp.com/SatelliteDL

Field trials of a novel toolkit for evaluating 'intangible' values-related dimensions of projects.

PubMed

Burford, Gemma; Velasco, Ismael; Janoušková, Svatava; Zahradnik, Martin; Hak, Tomas; Podger, Dimity; Piggot, Georgia; Harder, Marie K

2013-02-01

A novel toolkit has been developed, using an original approach to develop its components, for the purpose of evaluating 'soft' outcomes and processes that have previously been generally considered 'intangible': those which are specifically values based. This represents a step-wise, significant, change in provision for the assessment of values-based achievements that are of absolutely key importance to most civil society organisations (CSOs) and values-based businesses, and fills a known gap in evaluation practice. In this paper, we demonstrate the significance and rigour of the toolkit by presenting an evaluation of it in three diverse scenarios where different CSOs use it to co-evaluate locally relevant outcomes and processes to obtain results which are both meaningful to them and potentially comparable across organisations. A key strength of the toolkit is its original use of a prior generated, peer-elicited 'menu' of values-based indicators which provides a framework for user CSOs to localise. Principles of participatory, process-based and utilisation-focused evaluation are embedded in this toolkit and shown to be critical to its success, achieving high face-validity and wide applicability. The emerging contribution of this next-generation evaluation tool to other fields, such as environmental values, development and environmental sustainable development, shared values, business, education and organisational change is outlined. Copyright © 2012 Elsevier Ltd. All rights reserved.

Practical computational toolkits for dendrimers and dendrons structure design.

PubMed

Martinho, Nuno; Silva, Liana C; Florindo, Helena F; Brocchini, Steve; Barata, Teresa; Zloh, Mire

2017-09-01

Dendrimers and dendrons offer an excellent platform for developing novel drug delivery systems and medicines. The rational design and further development of these repetitively branched systems are restricted by difficulties in scalable synthesis and structural determination, which can be overcome by judicious use of molecular modelling and molecular simulations. A major difficulty to utilise in silico studies to design dendrimers lies in the laborious generation of their structures. Current modelling tools utilise automated assembly of simpler dendrimers or the inefficient manual assembly of monomer precursors to generate more complicated dendrimer structures. Herein we describe two novel graphical user interface toolkits written in Python that provide an improved degree of automation for rapid assembly of dendrimers and generation of their 2D and 3D structures. Our first toolkit uses the RDkit library, SMILES nomenclature of monomers and SMARTS reaction nomenclature to generate SMILES and mol files of dendrimers without 3D coordinates. These files are used for simple graphical representations and storing their structures in databases. The second toolkit assembles complex topology dendrimers from monomers to construct 3D dendrimer structures to be used as starting points for simulation using existing and widely available software and force fields. Both tools were validated for ease-of-use to prototype dendrimer structure and the second toolkit was especially relevant for dendrimers of high complexity and size.

Practical computational toolkits for dendrimers and dendrons structure design

NASA Astrophysics Data System (ADS)

Martinho, Nuno; Silva, Liana C.; Florindo, Helena F.; Brocchini, Steve; Barata, Teresa; Zloh, Mire

2017-09-01

Dendrimers and dendrons offer an excellent platform for developing novel drug delivery systems and medicines. The rational design and further development of these repetitively branched systems are restricted by difficulties in scalable synthesis and structural determination, which can be overcome by judicious use of molecular modelling and molecular simulations. A major difficulty to utilise in silico studies to design dendrimers lies in the laborious generation of their structures. Current modelling tools utilise automated assembly of simpler dendrimers or the inefficient manual assembly of monomer precursors to generate more complicated dendrimer structures. Herein we describe two novel graphical user interface toolkits written in Python that provide an improved degree of automation for rapid assembly of dendrimers and generation of their 2D and 3D structures. Our first toolkit uses the RDkit library, SMILES nomenclature of monomers and SMARTS reaction nomenclature to generate SMILES and mol files of dendrimers without 3D coordinates. These files are used for simple graphical representations and storing their structures in databases. The second toolkit assembles complex topology dendrimers from monomers to construct 3D dendrimer structures to be used as starting points for simulation using existing and widely available software and force fields. Both tools were validated for ease-of-use to prototype dendrimer structure and the second toolkit was especially relevant for dendrimers of high complexity and size.

The ProteoRed MIAPE web toolkit: A User-friendly Framework to Connect and Share Proteomics Standards*

PubMed Central

Medina-Aunon, J. Alberto; Martínez-Bartolomé, Salvador; López-García, Miguel A.; Salazar, Emilio; Navajas, Rosana; Jones, Andrew R.; Paradela, Alberto; Albar, Juan P.

2011-01-01

The development of the HUPO-PSI's (Proteomics Standards Initiative) standard data formats and MIAPE (Minimum Information About a Proteomics Experiment) guidelines should improve proteomics data sharing within the scientific community. Proteomics journals have encouraged the use of these standards and guidelines to improve the quality of experimental reporting and ease the evaluation and publication of manuscripts. However, there is an evident lack of bioinformatics tools specifically designed to create and edit standard file formats and reports, or embed them within proteomics workflows. In this article, we describe a new web-based software suite (The ProteoRed MIAPE web toolkit) that performs several complementary roles related to proteomic data standards. First, it can verify that the reports fulfill the minimum information requirements of the corresponding MIAPE modules, highlighting inconsistencies or missing information. Second, the toolkit can convert several XML-based data standards directly into human readable MIAPE reports stored within the ProteoRed MIAPE repository. Finally, it can also perform the reverse operation, allowing users to export from MIAPE reports into XML files for computational processing, data sharing, or public database submission. The toolkit is thus the first application capable of automatically linking the PSI's MIAPE modules with the corresponding XML data exchange standards, enabling bidirectional conversions. This toolkit is freely available at http://www.proteored.org/MIAPE/. PMID:21983993

Organizational Context Matters: A Research Toolkit for Conducting Standardized Case Studies of Integrated Care Initiatives

PubMed Central

Grudniewicz, Agnes; Gray, Carolyn Steele; Wodchis, Walter P.; Carswell, Peter; Baker, G. Ross

2017-01-01

Introduction: The variable success of integrated care initiatives has led experts to recommend tailoring design and implementation to the organizational context. Yet, organizational contexts are rarely described, understood, or measured with sufficient depth and breadth in empirical studies or in practice. We thus lack knowledge of when and specifically how organizational contexts matter. To facilitate the accumulation of evidence, we developed a research toolkit for conducting case studies using standardized measures of the (inter-)organizational context for integrating care. Theory and Methods: We used a multi-method approach to develop the research toolkit: (1) development and validation of the Context and Capabilities for Integrating Care (CCIC) Framework, (2) identification, assessment, and selection of survey instruments, (3) development of document review methods, (4) development of interview guide resources, and (5) pilot testing of the document review guidelines, consolidated survey, and interview guide. Results: The toolkit provides a framework and measurement tools that examine 18 organizational and inter-organizational factors that affect the implementation and success of integrated care initiatives. Discussion and Conclusion: The toolkit can be used to characterize and compare organizational contexts across cases and enable comparison of results across studies. This information can enhance our understanding of the influence of organizational contexts, support the transfer of best practices, and help explain why some integrated care initiatives succeed and some fail. PMID:28970750

Understanding Disabilities in American Indian and Alaska Native Communities. Toolkit Guide.

ERIC Educational Resources Information Center

National Council on Disability, Washington, DC.

This "toolkit" document is intended to provide a culturally appropriate set of resources to address the unique political and legal concerns of people with disabilities in American Indian/Alaska Native (AI/AN) communities. It provides information on education, health, vocational rehabilitation (VR), independent living, model approaches, and…

Object Toolkit Version 4.2 Users Manual

DTIC Science & Technology

2014-10-31

48 Figure 39. Geocentric Orbit Dialog Box...Z Side at (0.44, -0.44, 1.46). ............................................ 114 Figure 133. Geocentric Orbit Dialog Box...building an object for MEM, Object Toolkit has an Orbit menu that allows the user to specify and edit a heliocentric or geocentric orbit. The dialog

Educating Globally Competent Citizens: A Toolkit. Second Edition

ERIC Educational Resources Information Center

Elliott-Gower, Steven; Falk, Dennis R.; Shapiro, Martin

2012-01-01

Educating Globally Competent Citizens, a product of AASCU's American Democracy Project and its Global Engagement Initiative, introduces readers to a set of global challenges facing society based on the Center for Strategic and International Studies' 7 Revolutions. The toolkit is designed to aid faculty in incorporating global challenges into new…

75 FR 53969 - Office of Community Services: Notice To Award an Expansion Supplement

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-02

... related to job creation and new initiatives that target careers in energy efficiency and other...; and (3) collects, develops, and disseminates resources related to job creation and careers related to... through professional consultations and peer assistance sessions; and online toolkit(s). The T/TA CAP will...

The Student Writing Toolkit: Enhancing Undergraduate Teaching of Scientific Writing in the Biological Sciences

ERIC Educational Resources Information Center

Dirrigl, Frank J., Jr.; Noe, Mark

2014-01-01

Teaching scientific writing in biology classes is challenging for both students and instructors. This article offers and reviews several useful "toolkit" items that improve student writing. These include sentence and paper-length templates, funnelling and compartmentalisation, and preparing compendiums of corrections. In addition,…

The Archivists' Toolkit: Another Step toward Streamlined Archival Processing

ERIC Educational Resources Information Center

Westbrook, Bradley D.; Mandell, Lee; Shepherd, Kelcy; Stevens, Brian; Varghese, Jason

2006-01-01

The Archivists' Toolkit is a software application currently in development and designed to support the creation and management of archival information. This article summarizes the development of the application, including some of the problems the application is designed to resolve. Primary emphasis is placed on describing the application's…

Healthy People 2010: Oral Health Toolkit

ERIC Educational Resources Information Center

Isman, Beverly

2007-01-01

The purpose of this Toolkit is to provide guidance, technical tools, and resources to help states, territories, tribes and communities develop and implement successful oral health components of Healthy People 2010 plans as well as other oral health plans. These plans are useful for: (1) promoting, implementing and tracking oral health objectives;…

Using Toolkits to Achieve STEM Enterprise Learning Outcomes

ERIC Educational Resources Information Center

Watts, Carys A.; Wray, Katie

2012-01-01

Purpose: The purpose of this paper is to evaluate the effectiveness of using several commercial tools in science, technology, engineering and maths (STEM) subjects for enterprise education at Newcastle University, UK. Design/methodology/approach: The paper provides an overview of existing toolkit use in higher education, before reviewing where and…

A Toolkit for Teacher Engagement

ERIC Educational Resources Information Center

Grantmakers for Education, 2014

2014-01-01

Teachers are critical to the success of education grantmaking strategies, yet in talking with them we discovered that the world of philanthropy is often a mystery. GFE's Toolkit for Teacher Engagement aims to assist funders in authentically and effectively involving teachers in the education reform and innovation process. Built directly from the…

The Mentoring Toolkit 2.0: Resources for Developing Programs for Incarcerated Youth. Guide

ERIC Educational Resources Information Center

Zaugg, Nathan; Jarjoura, Roger

2017-01-01

"The Mentoring Toolkit 2.0: Resources for Developing Programs for Incarcerated Youth" provides information, program descriptions, and links to important resources that can assist juvenile correctional facilities and other organizations to design effective mentoring programs for neglected and delinquent youth, particularly those who are…

Making Schools the Model for Healthier Environments Toolkit: What It Is

ERIC Educational Resources Information Center

Robert Wood Johnson Foundation, 2012

2012-01-01

Healthy students perform better. Poor nutrition and inadequate physical activity can affect not only academic achievement, but also other factors such as absenteeism, classroom behavior, ability to concentrate, self-esteem, cognitive performance, and test scores. This toolkit provides information to help make schools the model for healthier…

Excellence in Teaching End-of-Life Care. A New Multimedia Toolkit for Nurse Educators.

ERIC Educational Resources Information Center

Wilkie, Diana J.; Judge, Kay M.; Wells, Marjorie J.; Berkley, Ila Meredith

2001-01-01

Describes a multimedia toolkit for teaching palliative care in nursing, which contains modules on end-of-life topics: comfort, connections, ethics, grief, impact, and well-being. Other contents include myths, definitions, pre- and postassessments, teaching materials, case studies, learning activities, and resources. (SK)

Barista: A Framework for Concurrent Speech Processing by USC-SAIL

PubMed Central

Can, Doğan; Gibson, James; Vaz, Colin; Georgiou, Panayiotis G.; Narayanan, Shrikanth S.

2016-01-01

We present Barista, an open-source framework for concurrent speech processing based on the Kaldi speech recognition toolkit and the libcppa actor library. With Barista, we aim to provide an easy-to-use, extensible framework for constructing highly customizable concurrent (and/or distributed) networks for a variety of speech processing tasks. Each Barista network specifies a flow of data between simple actors, concurrent entities communicating by message passing, modeled after Kaldi tools. Leveraging the fast and reliable concurrency and distribution mechanisms provided by libcppa, Barista lets demanding speech processing tasks, such as real-time speech recognizers and complex training workflows, to be scheduled and executed on parallel (and/or distributed) hardware. Barista is released under the Apache License v2.0. PMID:27610047

Florida State University's Institute for Family Violence Studies.

PubMed

Oehme, Karen

2018-01-01

This article outlines the role of the Institute for Family Violence Studies (IFVS) within the Florida State University College of Social Work in navigating issues intersecting social work and the law ( http://familyvio.csw.fsu.edu/ ). By developing comprehensive state and national trainings for unique populations and conducting interdisciplinary research, the IFVS promotes public policy that benefits healthy families and decreases family and intimate partner violence. The crucial role of staff and students, the IFVS's collaborative alliances, and funding sources are highlighted. Projects such as the Clearinghouse on Supervised Visitation, the National Prevention Toolkit on Officer-Involved Domestic Violence, Successful Co-Parenting After Divorce, and the LGBTQ Family Life Project are described. Plans for future projects, as well as other new avenues for research, are summarized.

Barista: A Framework for Concurrent Speech Processing by USC-SAIL.

PubMed

Can, Doğan; Gibson, James; Vaz, Colin; Georgiou, Panayiotis G; Narayanan, Shrikanth S

2014-05-01

We present Barista, an open-source framework for concurrent speech processing based on the Kaldi speech recognition toolkit and the libcppa actor library. With Barista, we aim to provide an easy-to-use, extensible framework for constructing highly customizable concurrent (and/or distributed) networks for a variety of speech processing tasks. Each Barista network specifies a flow of data between simple actors, concurrent entities communicating by message passing, modeled after Kaldi tools. Leveraging the fast and reliable concurrency and distribution mechanisms provided by libcppa, Barista lets demanding speech processing tasks, such as real-time speech recognizers and complex training workflows, to be scheduled and executed on parallel (and/or distributed) hardware. Barista is released under the Apache License v2.0.

WordSeeker: concurrent bioinformatics software for discovering genome-wide patterns and word-based genomic signatures

PubMed Central

2010-01-01

Background An important focus of genomic science is the discovery and characterization of all functional elements within genomes. In silico methods are used in genome studies to discover putative regulatory genomic elements (called words or motifs). Although a number of methods have been developed for motif discovery, most of them lack the scalability needed to analyze large genomic data sets. Methods This manuscript presents WordSeeker, an enumerative motif discovery toolkit that utilizes multi-core and distributed computational platforms to enable scalable analysis of genomic data. A controller task coordinates activities of worker nodes, each of which (1) enumerates a subset of the DNA word space and (2) scores words with a distributed Markov chain model. Results A comprehensive suite of performance tests was conducted to demonstrate the performance, speedup and efficiency of WordSeeker. The scalability of the toolkit enabled the analysis of the entire genome of Arabidopsis thaliana; the results of the analysis were integrated into The Arabidopsis Gene Regulatory Information Server (AGRIS). A public version of WordSeeker was deployed on the Glenn cluster at the Ohio Supercomputer Center. Conclusion WordSeeker effectively utilizes concurrent computing platforms to enable the identification of putative functional elements in genomic data sets. This capability facilitates the analysis of the large quantity of sequenced genomic data. PMID:21210985

Training health and safety committees to use control banding: lessons learned and opportunities for the United States.

PubMed

Bracker, Anne L; Morse, Timothy F; Simcox, Nancy J

2009-05-01

Control banding (CB) is a control-focused risk management model that has received international attention. CB strategies are designed to control workplace chemical exposures after the completion of a qualitative risk assessment. Connecticut was one of the first states to provide training on how to use this control-focused tool. Joint labor/management teams and individuals from 34 workplaces attended a control banding workshop and learned how to use one CB model, the United Kingdom (UK) Health and Safety Executive's Control of Substances Hazardous to Health (COSHH) Essentials Toolkit. After the initial training program the investigators used follow-up workshops, questionnaires, site visit data, and case studies to evaluate the training curriculum and assess the utility and effectiveness of this CB strategy. We found that the model is easily learned, although several areas for improvement were identified. Participants from 10 workplaces used COSHH Essentials to evaluate at least one task. The training curriculum was effective in that the agreement between the exposure variables coded by these workplaces and one of the workshop instructors, a certified industrial hygienist (CIH), were highly concordant. The training curriculum and the model promoted a discussion of risk between workers and managers and resulted in the implementation of improvements in the work environment. The model agreed with both the CIH's and the worksites' qualitative risk assessments 65% of the time, and likely over-controlled for 71% (5/7) of the cases of nonagreement. Feedback from workshop participants benefits the current dialogue on the implications of implementing CB in the United States.

A Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment

PubMed Central

Burton, Brett M; Tate, Jess D; Erem, Burak; Swenson, Darrell J; Wang, Dafang F; Steffen, Michael; Brooks, Dana H; van Dam, Peter M; Macleod, Rob S

2012-01-01

Computational modeling in electrocardiography often requires the examination of cardiac forward and inverse problems in order to non-invasively analyze physiological events that are otherwise inaccessible or unethical to explore. The study of these models can be performed in the open-source SCIRun problem solving environment developed at the Center for Integrative Biomedical Computing (CIBC). A new toolkit within SCIRun provides researchers with essential frameworks for constructing and manipulating electrocardiographic forward and inverse models in a highly efficient and interactive way. The toolkit contains sample networks, tutorials and documentation which direct users through SCIRun-specific approaches in the assembly and execution of these specific problems. PMID:22254301

Knowledge information management toolkit and method

DOEpatents

Hempstead, Antoinette R.; Brown, Kenneth L.

2006-08-15

A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

Institutionalizing Sex Education in Diverse U.S. School Districts.

PubMed

Saul Butler, Rebekah; Sorace, Danene; Hentz Beach, Kathleen

2018-02-01

This paper describes the Working to Institutionalize Sex Education (WISE) Initiative, a privately funded effort to support ready public school districts to advance and sustain comprehensive sexuality programs, and examines the degree to which WISE has been successful in increasing access to sex education, removing barriers, and highlighting best practices. The data for this study come from a set of performance indicators, guidance documents, and tools designed for the WISE Initiative to capture changes in sex education institutionalization at WISE school districts. The evaluation includes the analysis of 186 school districts across 12 states in the U.S. As a result of the WISE Initiative, 788,865 unique students received new or enhanced sex education in school classrooms and 88 school districts reached their sex education institutionalization goals. In addition to these school district successes, WISE codified the WISE Method and toolkit-a practical guide to help schools implement sex education. Barriers to implementing sexuality education can be overcome with administrative support and focused technical assistance and training, resulting in significant student reach in diverse school districts nationwide. Copyright © 2017 The Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Simulating the Impact of Premixed Charge Compression Ignition on Light-Duty Diesel Fuel Economy and Emissions of Particulates and NOx

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

Gao, Zhiming; Daw, C Stuart; Wagner, Robert M

2013-01-01

We utilize the Powertrain Systems Analysis Toolkit (PSAT) combined with transient engine and aftertreatment component models implemented in Matlab/Simulink to simulate the effect of premixed charge compression ignition (PCCI) on the fuel economy and emissions of light-duty diesel-powered conventional and hybrid electric vehicles (HEVs). Our simulated engine is capable of both conventional diesel combustion (CDC) and premixed charge compression ignition (PCCI) over real transient driving cycles. Our simulated aftertreatment train consists of a diesel oxidation catalyst (DOC), lean NOx trap (LNT), and catalyzed diesel particulate filter (DPF). The results demonstrate that, in the simulated conventional vehicle, PCCI can significantly reducemore » fuel consumption and emissions by reducing the need for LNT and DPF regeneration. However, the opportunity for PCCI operation in the simulated HEV is limited because the engine typically experiences higher loads and multiple stop-start transients that are outside the allowable PCCI operating range. Thus developing ways of extending the PCCI operating range combined with improved control strategies for engine and emissions control management will be especially important for realizing the potential benefits of PCCI in HEVs.« less