Combining multiple tools outperforms individual methods in gene set enrichment analyses.

PubMed

Alhamdoosh, Monther; Ng, Milica; Wilson, Nicholas J; Sheridan, Julie M; Huynh, Huy; Wilson, Michael J; Ritchie, Matthew E

2017-02-01

Gene set enrichment (GSE) analysis allows researchers to efficiently extract biological insight from long lists of differentially expressed genes by interrogating them at a systems level. In recent years, there has been a proliferation of GSE analysis methods and hence it has become increasingly difficult for researchers to select an optimal GSE tool based on their particular dataset. Moreover, the majority of GSE analysis methods do not allow researchers to simultaneously compare gene set level results between multiple experimental conditions. The ensemble of genes set enrichment analyses (EGSEA) is a method developed for RNA-sequencing data that combines results from twelve algorithms and calculates collective gene set scores to improve the biological relevance of the highest ranked gene sets. EGSEA's gene set database contains around 25 000 gene sets from sixteen collections. It has multiple visualization capabilities that allow researchers to view gene sets at various levels of granularity. EGSEA has been tested on simulated data and on a number of human and mouse datasets and, based on biologists' feedback, consistently outperforms the individual tools that have been combined. Our evaluation demonstrates the superiority of the ensemble approach for GSE analysis, and its utility to effectively and efficiently extrapolate biological functions and potential involvement in disease processes from lists of differentially regulated genes. EGSEA is available as an R package at http://www.bioconductor.org/packages/EGSEA/ . The gene sets collections are available in the R package EGSEAdata from http://www.bioconductor.org/packages/EGSEAdata/ . monther.alhamdoosh@csl.com.au mritchie@wehi.edu.au. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

Elites, Bureaucrats, Ostriches, and Pussycats: Managing Research in Policy Settings.

ERIC Educational Resources Information Center

Marshall, Catherine

Female researchers conducting field research in educational politics encounter special problems of access, entry, reciprocity, and ethics. Accordingly, this study focuses first on field research methods in policy settings as a general topic, then on problems specific to women in this area. A researcher must be aware of informal coalitions or…

Setting health research priorities using the CHNRI method: VII. A review of the first 50 applications of the CHNRI method.

PubMed

Rudan, Igor; Yoshida, Sachiyo; Chan, Kit Yee; Sridhar, Devi; Wazny, Kerri; Nair, Harish; Sheikh, Aziz; Tomlinson, Mark; Lawn, Joy E; Bhutta, Zulfiqar A; Bahl, Rajiv; Chopra, Mickey; Campbell, Harry; El Arifeen, Shams; Black, Robert E; Cousens, Simon

2017-06-01

Several recent reviews of the methods used to set research priorities have identified the CHNRI method (acronym derived from the "Child Health and Nutrition Research Initiative") as an approach that clearly became popular and widely used over the past decade. In this paper we review the first 50 examples of application of the CHNRI method, published between 2007 and 2016, and summarize the most important messages that emerged from those experiences. We conducted a literature review to identify the first 50 examples of application of the CHNRI method in chronological order. We searched Google Scholar, PubMed and so-called grey literature. Initially, between 2007 and 2011, the CHNRI method was mainly used for setting research priorities to address global child health issues, although the first cases of application outside this field (eg, mental health, disabilities and zoonoses) were also recorded. Since 2012 the CHNRI method was used more widely, expanding into the topics such as adolescent health, dementia, national health policy and education. The majority of the exercises were focused on issues that were only relevant to low- and middle-income countries, and national-level applications are on the rise. The first CHNRI-based articles adhered to the five recommended priority-setting criteria, but by 2016 more than two-thirds of all conducted exercises departed from recommendations, modifying the CHNRI method to suit each particular exercise. This was done not only by changing the number of criteria used, but also by introducing some entirely new criteria (eg, "low cost", "sustainability", "acceptability", "feasibility", "relevance" and others). The popularity of the CHNRI method in setting health research priorities can be attributed to several key conceptual advances that have addressed common concerns. The method is systematic in nature, offering an acceptable framework for handling many research questions. It is also transparent and replicable, because it clearly defines the context and priority-setting criteria. It is democratic, as it relies on "crowd-sourcing". It is inclusive, fostering "ownership" of the results by ensuring that various groups invest in the process. It is very flexible and adjustable to many different contexts and needs. Finally, it is simple and relatively inexpensive to conduct, which we believe is one of the main reasons for its uptake by many groups globally, particularly those in low- and middle-income countries.

Research in Special Education: Scientific Methods and Evidence-Based Practices

ERIC Educational Resources Information Center

Odom, Samuel L.; Brantlinger, Ellen; Gersten, Russell; Horner, Robert H.; Thompson, Bruce; Harris, Karen R.

2005-01-01

This article sets the context for the development of research quality indicators and guidelines for evidence of effective practices provided by different methodologies. The current conceptualization of scientific research in education and the complexity of conducting research in special education settings underlie the development of quality…

Critical Debates in Teaching Research Methods in the Social Sciences

ERIC Educational Resources Information Center

Gunn, Andrew

2017-01-01

This paper explores some of the critical debates in social science research methods education and is set out in three parts. The first section introduces the importance and relevance of research methods to the social sciences. It then outlines the problems and challenges experienced in the teaching and learning of research methods, which are…

Assessing data quality and the variability of source data verification auditing methods in clinical research settings.

PubMed

Houston, Lauren; Probst, Yasmine; Martin, Allison

2018-05-18

Data audits within clinical settings are extensively used as a major strategy to identify errors, monitor study operations and ensure high-quality data. However, clinical trial guidelines are non-specific in regards to recommended frequency, timing and nature of data audits. The absence of a well-defined data quality definition and method to measure error undermines the reliability of data quality assessment. This review aimed to assess the variability of source data verification (SDV) auditing methods to monitor data quality in a clinical research setting. The scientific databases MEDLINE, Scopus and Science Direct were searched for English language publications, with no date limits applied. Studies were considered if they included data from a clinical trial or clinical research setting and measured and/or reported data quality using a SDV auditing method. In total 15 publications were included. The nature and extent of SDV audit methods in the articles varied widely, depending upon the complexity of the source document, type of study, variables measured (primary or secondary), data audit proportion (3-100%) and collection frequency (6-24 months). Methods for coding, classifying and calculating error were also inconsistent. Transcription errors and inexperienced personnel were the main source of reported error. Repeated SDV audits using the same dataset demonstrated ∼40% improvement in data accuracy and completeness over time. No description was given in regards to what determines poor data quality in clinical trials. A wide range of SDV auditing methods are reported in the published literature though no uniform SDV auditing method could be determined for "best practice" in clinical trials. Published audit methodology articles are warranted for the development of a standardised SDV auditing method to monitor data quality in clinical research settings. Copyright © 2018. Published by Elsevier Inc.

Estimates of Dietary Sodium Consumption in Patients With Chronic Heart Failure.

PubMed

Colin-Ramirez, Eloisa; Arcand, JoAnne; Ezekowitz, Justin A

2015-12-01

Estimating dietary sodium intake is a key component of dietary assessment in the clinical setting of HF to effectively implement appropriate dietary interventions for sodium reduction and monitor adherence to the dietary treatment. In a research setting, assessment of sodium intake is crucial to an essential methodology to evaluate outcomes after a dietary or behavioral intervention. Current available sodium intake assessment methods include 24-hour urine collection, spot urine collections, multiple day food records, food recalls, and food frequency questionnaires. However, these methods have inherent limitations that make assessment of sodium intake challenging, and the utility of traditional methods may be questionable for estimating sodium intake in patients with HF. Thus, there are remaining questions about how to best assess dietary sodium intake in this patient population, and there is a need to identify a reliable method to assess and monitor sodium intake in the research and clinical setting of HF. This paper provides a comprehensive review of the current methods for sodium intake assessment, addresses the challenges for its accurate evaluation, and highlights the relevance of applying the highest-quality measurement methods in the research setting to minimize the risk of biased data. Copyright © 2015 Elsevier Inc. All rights reserved.

CB4-03: An Eye on the Future: A Review of Data Virtualization Techniques to Improve Research Analytics

PubMed Central

Richter, Jack; McFarland, Lela; Bredfeldt, Christine

2012-01-01

Background/Aims Integrating data across systems can be a daunting process. The traditional method of moving data to a common location, mapping fields with different formats and meanings, and performing data cleaning activities to ensure valid and reliable integration across systems can be both expensive and extremely time consuming. As the scope of needed research data increases, the traditional methodology may not be sustainable. Data Virtualization provides an alternative to traditional methods that may reduce the effort required to integrate data across disparate systems. Objective Our goal was to survey new methods in data integration, cloud computing, enterprise data management and virtual data management for opportunities to increase the efficiency of producing VDW and similar data sets. Methods Kaiser Permanente Information Technology (KPIT), in collaboration with the Mid-Atlantic Permanente Research Institute (MAPRI) reviewed methodologies in the burgeoning field of Data Virtualization. We identified potential strengths and weaknesses of new approaches to data integration. For each method, we evaluated its potential application for producing effective research data sets. Results Data Virtualization provides opportunities to reduce the amount of data movement required to integrate data sources on different platforms in order to produce research data sets. Additionally, Data Virtualization also includes methods for managing “fuzzy” matching used to match fields known to have poor reliability such as names, addresses and social security numbers. These methods could improve the efficiency of integrating state and federal data such as patient race, death, and tumors with internal electronic health record data. Discussion The emerging field of Data Virtualization has considerable potential for increasing the efficiency of producing research data sets. An important next step will be to develop a proof of concept project that will help us understand to benefits and drawbacks of these techniques.

Setting health research priorities using the CHNRI method: VII. A review of the first 50 applications of the CHNRI method

PubMed Central

Rudan, Igor; Yoshida, Sachiyo; Chan, Kit Yee; Sridhar, Devi; Wazny, Kerri; Nair, Harish; Sheikh, Aziz; Tomlinson, Mark; Lawn, Joy E; Bhutta, Zulfiqar A; Bahl, Rajiv; Chopra, Mickey; Campbell, Harry; El Arifeen, Shams; Black, Robert E; Cousens, Simon

2017-01-01

Background Several recent reviews of the methods used to set research priorities have identified the CHNRI method (acronym derived from the “Child Health and Nutrition Research Initiative”) as an approach that clearly became popular and widely used over the past decade. In this paper we review the first 50 examples of application of the CHNRI method, published between 2007 and 2016, and summarize the most important messages that emerged from those experiences. Methods We conducted a literature review to identify the first 50 examples of application of the CHNRI method in chronological order. We searched Google Scholar, PubMed and so–called grey literature. Results Initially, between 2007 and 2011, the CHNRI method was mainly used for setting research priorities to address global child health issues, although the first cases of application outside this field (eg, mental health, disabilities and zoonoses) were also recorded. Since 2012 the CHNRI method was used more widely, expanding into the topics such as adolescent health, dementia, national health policy and education. The majority of the exercises were focused on issues that were only relevant to low– and middle–income countries, and national–level applications are on the rise. The first CHNRI–based articles adhered to the five recommended priority–setting criteria, but by 2016 more than two–thirds of all conducted exercises departed from recommendations, modifying the CHNRI method to suit each particular exercise. This was done not only by changing the number of criteria used, but also by introducing some entirely new criteria (eg, “low cost”, “sustainability”, “acceptability”, “feasibility”, “relevance” and others). Conclusions The popularity of the CHNRI method in setting health research priorities can be attributed to several key conceptual advances that have addressed common concerns. The method is systematic in nature, offering an acceptable framework for handling many research questions. It is also transparent and replicable, because it clearly defines the context and priority–setting criteria. It is democratic, as it relies on “crowd–sourcing”. It is inclusive, fostering “ownership” of the results by ensuring that various groups invest in the process. It is very flexible and adjustable to many different contexts and needs. Finally, it is simple and relatively inexpensive to conduct, which we believe is one of the main reasons for its uptake by many groups globally, particularly those in low– and middle–income countries. PMID:28685049

Comparison of national health research priority-setting methods and characteristics in Latin America and the Caribbean, 2002-2012.

PubMed

Reveiz, Ludovic; Elias, Vanessa; Terry, Robert F; Alger, Jackeline; Becerra-Posada, Francisco

2013-07-01

To compare health research priority-setting methods and characteristics among countries in Latin America and the Caribbean during 2002 - 2012. This was a systematic review that identified national health research policies and priority agendas through a search of ministry and government databases related to health care institutions. PubMed, LILACS, the Health Research Web, and others were searched for the period from January 2002 - February 2012. The study excluded research organized by governmental institutions and specific national strategies on particular disease areas. Priority-setting methods were compared to the "nine common themes for good practice in health research priorities." National health research priorities were compared to those of the World Health Organization's Millennium Development Goals (MDG). Of the 18 Latin American countries assessed, 13 had documents that established national health research priorities; plus the Caribbean Health Research Council had a research agenda for its 19 constituents. These 14 total reports varied widely in terms of objectives, content, dissemination, and implementation; most provided a list of strategic areas, suggestions, and/or sub-priorities for each country; however, few proposed specific research topics and questions. Future reports could be improved by including more details on the comprehensive approach employed to identify priorities, on the information gathering process, and on practices to be undertaken after priorities are set. There is a need for improving the quality of the methodologies utilized and coordinating Regional efforts as countries strive to meet the MDG.

Action Research in a Non-Profit Agency School Setting: Analyzing the Adoption of an Innovation after Initial Training and Coaching

ERIC Educational Resources Information Center

Sandoval-Lucero, Elena; Maes, Johanna B.; Pappas, Georgia

2013-01-01

Action research is a method of organizational development and improvement often used in educational settings. This study implemented an action research process in an alternative school that serves students with significant special needs. The action research process was implemented by classroom teams who developed a research question, collected and…

Mixed Methods in Intervention Research: Theory to Adaptation

ERIC Educational Resources Information Center

Nastasi, Bonnie K.; Hitchcock, John; Sarkar, Sreeroopa; Burkholder, Gary; Varjas, Kristen; Jayasena, Asoka

2007-01-01

The purpose of this article is to demonstrate the application of mixed methods research designs to multiyear programmatic research and development projects whose goals include integration of cultural specificity when generating or translating evidence-based practices. The authors propose a set of five mixed methods designs related to different…

Conducting Field Research in a Primary School Setting: Methodological Considerations for Maximizing Response Rates, Data Quality and Quantity

ERIC Educational Resources Information Center

Trapp, Georgina; Giles-Corti, Billie; Martin, Karen; Timperio, Anna; Villanueva, Karen

2012-01-01

Background: Schools are an ideal setting in which to involve children in research. Yet for investigators wishing to work in these settings, there are few method papers providing insights into working efficiently in this setting. Objective: The aim of this paper is to describe the five strategies used to increase response rates, data quality and…

Comment on "Beyond the SCS-CN method: A theoretical framework for spatially lumped rainfall-runoff response" by M. S. Bartlett et al.

NASA Astrophysics Data System (ADS)

Ogden, Fred L.; Hawkins, Richard Pete; Walter, M. Todd; Goodrich, David C.

2017-07-01

Bartlett et al. (2016) performed a re-interpretation and modification of the space-time lumped USDA NRCS (formerly SCS) Curve Number (CN) method to extend its applicability to forested watersheds. We believe that the well documented limitations of the CN method severely constrains the applicability of the modifications proposed by Bartlett et al. (2016). This forward-looking comment urges the research communities in hydrologic science and engineering to consider the CN method as a stepping stone that has outlived its usefulness in research. The CN method fills a narrow niche in certain settings as a parsimonious method having utility as an empirical equation to estimate runoff from a given amount of rainfall, which originated as a static functional form that fits rainfall-runoff data sets. Sixty five years of use and multiple reinterpretations have not resulted in improved hydrological predictability using the method. We suggest that the research community should move forward by (1) identifying appropriate dynamic hydrological model formulations for different hydro-geographic settings, (2) specifying needed model capabilities for solving different classes of problems (e.g., flooding, erosion/sedimentation, nutrient transport, water management, etc.) in different hydro-geographic settings, and (3) expanding data collection and research programs to help ameliorate the so-called "overparameterization" problem in contemporary modeling. Many decades of advances in geo-spatial data and processing, computation, and understanding are being squandered on continued focus on the static CN regression method. It is time to truly "move beyond" the Curve Number method.

Case Study Research Methodology in Nursing Research.

PubMed

Cope, Diane G

2015-11-01

Through data collection methods using a holistic approach that focuses on variables in a natural setting, qualitative research methods seek to understand participants' perceptions and interpretations. Common qualitative research methods include ethnography, phenomenology, grounded theory, and historic research. Another type of methodology that has a similar qualitative approach is case study research, which seeks to understand a phenomenon or case from multiple perspectives within a given real-world context.

Inventory on the dietary assessment tools available and needed in africa: a prerequisite for setting up a common methodological research infrastructure for nutritional surveillance, research, and prevention of diet-related non-communicable diseases.

PubMed

Pisa, Pedro T; Landais, Edwige; Margetts, Barrie; Vorster, Hester H; Friedenreich, Christine M; Huybrechts, Inge; Martin-Prevel, Yves; Branca, Francesco; Lee, Warren T K; Leclercq, Catherine; Jerling, Johann; Zotor, Francis; Amuna, Paul; Al Jawaldeh, Ayoub; Aderibigbe, Olaide Ruth; Amoussa, Waliou Hounkpatin; Anderson, Cheryl A M; Aounallah-Skhiri, Hajer; Atek, Madjid; Benhura, Chakare; Chifamba, Jephat; Covic, Namukolo; Dary, Omar; Delisle, Hélène; El Ati, Jalila; El Hamdouchi, Asmaa; El Rhazi, Karima; Faber, Mieke; Kalimbira, Alexander; Korkalo, Liisa; Kruger, Annamarie; Ledo, James; Machiweni, Tatenda; Mahachi, Carol; Mathe, Nonsikelelo; Mokori, Alex; Mouquet-Rivier, Claire; Mutie, Catherine; Nashandi, Hilde Liisa; Norris, Shane A; Onabanjo, Oluseye Olusegun; Rambeloson, Zo; Saha, Foudjo Brice U; Ubaoji, Kingsley Ikechukwu; Zaghloul, Sahar; Slimani, Nadia

2018-01-02

To carry out an inventory on the availability, challenges, and needs of dietary assessment (DA) methods in Africa as a pre-requisite to provide evidence, and set directions (strategies) for implementing common dietary methods and support web-research infrastructure across countries. The inventory was performed within the framework of the "Africa's Study on Physical Activity and Dietary Assessment Methods" (AS-PADAM) project. It involves international institutional and African networks. An inventory questionnaire was developed and disseminated through the networks. Eighteen countries responded to the dietary inventory questionnaire. Various DA tools were reported in Africa; 24-Hour Dietary Recall and Food Frequency Questionnaire were the most commonly used tools. Few tools were validated and tested for reliability. Face-to-face interview was the common method of administration. No computerized software or other new (web) technologies were reported. No tools were standardized across countries. The lack of comparable DA methods across represented countries is a major obstacle to implement comprehensive and joint nutrition-related programmes for surveillance, programme evaluation, research, and prevention. There is a need to develop new or adapt existing DA methods across countries by employing related research infrastructure that has been validated and standardized in other settings, with the view to standardizing methods for wider use.

Setting Priorities for Gerontological Social Work Research: A National Delphi Study

ERIC Educational Resources Information Center

Burnette, Denise; Morrow-Howell, Nancy; Chen, Li-Mei

2003-01-01

Purpose: An increasingly important task for all disciplines involved in aging research is to identify and prioritize areas for investigation. This article reports the results of a national Delphi study on setting research priorities for gerontological social work. Design and Methods: Delphi methodology, a structured process for eliciting and…

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

PubMed

Korotcov, Alexandru; Tkachenko, Valery; Russo, Daniel P; Ekins, Sean

2017-12-04

Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of this approach for a diverse array of end points relevant to drug discovery. Deep learning is the latest machine learning algorithm attracting attention for many of pharmaceutical applications from docking to virtual screening. Deep learning is based on an artificial neural network with multiple hidden layers and has found considerable traction for many artificial intelligence applications. We have previously suggested the need for a comparison of different machine learning methods with deep learning across an array of varying data sets that is applicable to pharmaceutical research. End points relevant to pharmaceutical research include absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties, as well as activity against pathogens and drug discovery data sets. In this study, we have used data sets for solubility, probe-likeness, hERG, KCNQ1, bubonic plague, Chagas, tuberculosis, and malaria to compare different machine learning methods using FCFP6 fingerprints. These data sets represent whole cell screens, individual proteins, physicochemical properties as well as a data set with a complex end point. Our aim was to assess whether deep learning offered any improvement in testing when assessed using an array of metrics including AUC, F1 score, Cohen's kappa, Matthews correlation coefficient and others. Based on ranked normalized scores for the metrics or data sets Deep Neural Networks (DNN) ranked higher than SVM, which in turn was ranked higher than all the other machine learning methods. Visualizing these properties for training and test sets using radar type plots indicates when models are inferior or perhaps over trained. These results also suggest the need for assessing deep learning further using multiple metrics with much larger scale comparisons, prospective testing as well as assessment of different fingerprints and DNN architectures beyond those used.

Tapping into Graduate Students' Collaborative Technology Experience in a Research Methods Class: Insights on Teaching Research Methods in a Malaysian and American Setting

ERIC Educational Resources Information Center

Vasquez-Colina, Maria D.; Maslin-Ostrowski, Pat; Baba, Suria

2017-01-01

This case study used qualitative and quantitative methods to investigate challenges of learning and teaching research methods by examining graduate students' use of collaborative technology (i.e., digital tools that enable collaboration and information seeking such as software and social media) and students' computer self-efficacy. We conducted…

A Preliminary Rubric Design to Evaluate Mixed Methods Research

ERIC Educational Resources Information Center

Burrows, Timothy J.

2013-01-01

With the increase in frequency of the use of mixed methods, both in research publications and in externally funded grants there are increasing calls for a set of standards to assess the quality of mixed methods research. The purpose of this mixed methods study was to conduct a multi-phase analysis to create a preliminary rubric to evaluate mixed…

"Comments on Howe": Toward a More Inclusive "Scientific Research in Education"

ERIC Educational Resources Information Center

Johnson, R. Burke

2009-01-01

In response to Howe (2009), the author argues that educational research needs multiple thoughtful perspectives. The author's standpoint is that of a mixed methods research methodologist. Mixed methods research provides an antidualistic and syncretic philosophy and set of approaches or possibilities for merging insights from diverse perspectives;…

Instruments for Gathering Data

ERIC Educational Resources Information Center

Canals, Laia

2017-01-01

This chapter sets out various methods for gathering important data on the language uses of participants in a research project. These methods imply interaction between students, teachers and researchers. They are used in the design of research projects based on action research, ethnography or conversational analysis, this being the case with the…

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.

PubMed

Luo, Wei; Phung, Dinh; Tran, Truyen; Gupta, Sunil; Rana, Santu; Karmakar, Chandan; Shilton, Alistair; Yearwood, John; Dimitrova, Nevenka; Ho, Tu Bao; Venkatesh, Svetha; Berk, Michael

2016-12-16

As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data analysis, are mentioned more often in biomedical journals. However, owing to the inherent complexity of machine learning methods, they are prone to misuse. Because of the flexibility in specifying machine learning models, the results are often insufficiently reported in research articles, hindering reliable assessment of model validity and consistent interpretation of model outputs. To attain a set of guidelines on the use of machine learning predictive models within clinical settings to make sure the models are correctly applied and sufficiently reported so that true discoveries can be distinguished from random coincidence. A multidisciplinary panel of machine learning experts, clinicians, and traditional statisticians were interviewed, using an iterative process in accordance with the Delphi method. The process produced a set of guidelines that consists of (1) a list of reporting items to be included in a research article and (2) a set of practical sequential steps for developing predictive models. A set of guidelines was generated to enable correct application of machine learning models and consistent reporting of model specifications and results in biomedical research. We believe that such guidelines will accelerate the adoption of big data analysis, particularly with machine learning methods, in the biomedical research community. ©Wei Luo, Dinh Phung, Truyen Tran, Sunil Gupta, Santu Rana, Chandan Karmakar, Alistair Shilton, John Yearwood, Nevenka Dimitrova, Tu Bao Ho, Svetha Venkatesh, Michael Berk. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.12.2016.

Approaches, tools and methods used for setting priorities in health research in the 21st century

PubMed Central

Yoshida, Sachiyo

2016-01-01

Background Health research is difficult to prioritize, because the number of possible competing ideas for research is large, the outcome of research is inherently uncertain, and the impact of research is difficult to predict and measure. A systematic and transparent process to assist policy makers and research funding agencies in making investment decisions is a permanent need. Methods To obtain a better understanding of the landscape of approaches, tools and methods used to prioritize health research, I conducted a methodical review using the PubMed database for the period 2001–2014. Results A total of 165 relevant studies were identified, in which health research prioritization was conducted. They most frequently used the CHNRI method (26%), followed by the Delphi method (24%), James Lind Alliance method (8%), the Combined Approach Matrix (CAM) method (2%) and the Essential National Health Research method (<1%). About 3% of studies reported no clear process and provided very little information on how priorities were set. A further 19% used a combination of expert panel interview and focus group discussion (“consultation process”) but provided few details, while a further 2% used approaches that were clearly described, but not established as a replicable method. Online surveys that were not accompanied by face–to–face meetings were used in 8% of studies, while 9% used a combination of literature review and questionnaire to scrutinise the research options for prioritization among the participating experts. Conclusion The number of priority setting exercises in health research published in PubMed–indexed journals is increasing, especially since 2010. These exercises are being conducted at a variety of levels, ranging from the global level to the level of an individual hospital. With the development of new tools and methods which have a well–defined structure – such as the CHNRI method, James Lind Alliance Method and Combined Approach Matrix – it is likely that the Delphi method and non–replicable consultation processes will gradually be replaced by these emerging tools, which offer more transparency and replicability. It is too early to say whether any single method can address the needs of most exercises conducted at different levels, or if better results may perhaps be achieved through combination of components of several methods. PMID:26401271

A checklist for health research priority setting: nine common themes of good practice.

PubMed

Viergever, Roderik F; Olifson, Sylvie; Ghaffar, Abdul; Terry, Robert F

2010-12-15

Health research priority setting processes assist researchers and policymakers in effectively targeting research that has the greatest potential public health benefit. Many different approaches to health research prioritization exist, but there is no agreement on what might constitute best practice. Moreover, because of the many different contexts for which priorities can be set, attempting to produce one best practice is in fact not appropriate, as the optimal approach varies per exercise. Therefore, following a literature review and an analysis of health research priority setting exercises that were organized or coordinated by the World Health Organization since 2005, we propose a checklist for health research priority setting that allows for informed choices on different approaches and outlines nine common themes of good practice. It is intended to provide generic assistance for planning health research prioritization processes. The checklist explains what needs to be clarified in order to establish the context for which priorities are set; it reviews available approaches to health research priority setting; it offers discussions on stakeholder participation and information gathering; it sets out options for use of criteria and different methods for deciding upon priorities; and it emphasizes the importance of well-planned implementation, evaluation and transparency.

Approaches, tools and methods used for setting priorities in health research in the 21(st) century.

PubMed

Yoshida, Sachiyo

2016-06-01

Health research is difficult to prioritize, because the number of possible competing ideas for research is large, the outcome of research is inherently uncertain, and the impact of research is difficult to predict and measure. A systematic and transparent process to assist policy makers and research funding agencies in making investment decisions is a permanent need. To obtain a better understanding of the landscape of approaches, tools and methods used to prioritize health research, I conducted a methodical review using the PubMed database for the period 2001-2014. A total of 165 relevant studies were identified, in which health research prioritization was conducted. They most frequently used the CHNRI method (26%), followed by the Delphi method (24%), James Lind Alliance method (8%), the Combined Approach Matrix (CAM) method (2%) and the Essential National Health Research method (<1%). About 3% of studies reported no clear process and provided very little information on how priorities were set. A further 19% used a combination of expert panel interview and focus group discussion ("consultation process") but provided few details, while a further 2% used approaches that were clearly described, but not established as a replicable method. Online surveys that were not accompanied by face-to-face meetings were used in 8% of studies, while 9% used a combination of literature review and questionnaire to scrutinise the research options for prioritization among the participating experts. The number of priority setting exercises in health research published in PubMed-indexed journals is increasing, especially since 2010. These exercises are being conducted at a variety of levels, ranging from the global level to the level of an individual hospital. With the development of new tools and methods which have a well-defined structure - such as the CHNRI method, James Lind Alliance Method and Combined Approach Matrix - it is likely that the Delphi method and non-replicable consultation processes will gradually be replaced by these emerging tools, which offer more transparency and replicability. It is too early to say whether any single method can address the needs of most exercises conducted at different levels, or if better results may perhaps be achieved through combination of components of several methods.

The STAR Data Reporting Guidelines for Clinical High Altitude Research.

PubMed

Brodmann Maeder, Monika; Brugger, Hermann; Pun, Matiram; Strapazzon, Giacomo; Dal Cappello, Tomas; Maggiorini, Marco; Hackett, Peter; Bärtsch, Peter; Swenson, Erik R; Zafren, Ken

2018-03-01

Brodmann Maeder, Monika, Hermann Brugger, Matiram Pun, Giacomo Strapazzon, Tomas Dal Cappello, Marco Maggiorini, Peter Hackett, Peter Baärtsch, Erik R. Swenson, Ken Zafren (STAR Core Group), and the STAR Delphi Expert Group. The STARdata reporting guidelines for clinical high altitude research. High AltMedBiol. 19:7-14, 2018. The goal of the STAR (STrengthening Altitude Research) initiative was to produce a uniform set of key elements for research and reporting in clinical high-altitude (HA) medicine. The STAR initiative was inspired by research on treatment of cardiac arrest, in which the establishment of the Utstein Style, a uniform data reporting protocol, substantially contributed to improving data reporting and subsequently the quality of scientific evidence. The STAR core group used the Delphi method, in which a group of experts reaches a consensus over multiple rounds using a formal method. We selected experts in the field of clinical HA medicine based on their scientific credentials and identified an initial set of parameters for evaluation by the experts. Of 51 experts in HA research who were identified initially, 21 experts completed both rounds. The experts identified 42 key parameters in 5 categories (setting, individual factors, acute mountain sickness and HA cerebral edema, HA pulmonary edema, and treatment) that were considered essential for research and reporting in clinical HA research. An additional 47 supplemental parameters were identified that should be reported depending on the nature of the research. The STAR initiative, using the Delphi method, identified a set of key parameters essential for research and reporting in clinical HA medicine.

Estimating the Effects of Radio Frequency Identification (RFID) Tagging Technologies on the Army’s War-Time Logistics Network

DTIC Science & Technology

2004-07-01

five qualitative methods , each a potential candidate for conducting this study . Of the five methods listed, the grounded theory method fit this study ...Strauss and Corbin define the grounded theory approach as a qualitative research method that uses a systematic set of procedures to develop and... research question may also be used” (Leedy and Ormrod, 2001). The primary research method

A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets.

PubMed

Carrig, Madeline M; Manrique-Vallier, Daniel; Ranby, Krista W; Reiter, Jerome P; Hoyle, Rick H

2015-01-01

Complex research questions often cannot be addressed adequately with a single data set. One sensible alternative to the high cost and effort associated with the creation of large new data sets is to combine existing data sets containing variables related to the constructs of interest. The goal of the present research was to develop a flexible, broadly applicable approach to the integration of disparate data sets that is based on nonparametric multiple imputation and the collection of data from a convenient, de novo calibration sample. We demonstrate proof of concept for the approach by integrating three existing data sets containing items related to the extent of problematic alcohol use and associations with deviant peers. We discuss both necessary conditions for the approach to work well and potential strengths and weaknesses of the method compared to other data set integration approaches.

A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets

PubMed Central

Carrig, Madeline M.; Manrique-Vallier, Daniel; Ranby, Krista W.; Reiter, Jerome P.; Hoyle, Rick H.

2015-01-01

Complex research questions often cannot be addressed adequately with a single data set. One sensible alternative to the high cost and effort associated with the creation of large new data sets is to combine existing data sets containing variables related to the constructs of interest. The goal of the present research was to develop a flexible, broadly applicable approach to the integration of disparate data sets that is based on nonparametric multiple imputation and the collection of data from a convenient, de novo calibration sample. We demonstrate proof of concept for the approach by integrating three existing data sets containing items related to the extent of problematic alcohol use and associations with deviant peers. We discuss both necessary conditions for the approach to work well and potential strengths and weaknesses of the method compared to other data set integration approaches. PMID:26257437

The Virtual Research Lab: Research Outcome Expectations, Research Knowledge, and the Graduate Student Experience

ERIC Educational Resources Information Center

Stadtlander, Lee; Giles, Martha; Sickel, Amy

2013-01-01

This paper examines the complexities of working with student researchers in a virtual lab setting, logistics, and methods to resolve issues. To demonstrate the feasibility of a virtual lab, a mixed-methods study consisting of quantitative surveys and qualitative data examined changes in doctoral students' confidence as measured by research outcome…

Identifying research priorities for health care priority setting: a collaborative effort between managers and researchers

PubMed Central

Smith, Neale; Mitton, Craig; Peacock, Stuart; Cornelissen, Evelyn; MacLeod, Stuart

2009-01-01

Background To date there has been relatively little published about how research priorities are set, and even less about methods by which decision-makers can be engaged in defining a relevant and appropriate research agenda. We report on a recent effort in British Columbia to have researchers and decision-makers jointly establish an agenda for future research into questions of resource allocation. Methods The researchers enlisted decision-maker partners from each of British Columbia's six health authorities. Three forums were held, at which researchers and decision-makers from various levels in the health authorities considered possible research areas related to three key focus areas: (1) generation and use of decision criteria and measurement of 'benefit' against such criteria; (2) identification of so-called 'disinvestment' opportunities; and (3) evaluation of the effectiveness of priority setting procedures. Detailed notes were taken from each forum and synthesized into a set of qualitative themes. Results Forum participants suggested that future research into healthcare priority setting would benefit from studies that were longitudinal, comparative, and/or interdisciplinary. As well, participants identified two broad theme areas in which specific research projects were deemed desirable. First, future research might usefully consider how formal priority setting and resource allocation projects are situated within a larger organizational and political context. Second, additional research efforts should be devoted to better understanding and improving the actual implementation of priority setting frameworks, particularly with respect to issues of change management and the resolution of impediments to action on recommendations for resource allocation. Conclusion We were able to validate the importance of initial areas posed to the group and observed emergence of additional concerns and directions of critical importance to these decision-makers at this time. It is likely that the results are broadly applicable to other healthcare contexts. The implementation of this research agenda in British Columbia will depend upon the ability of the researchers and decision-makers to develop particular projects that fit within the constraints of existing funding opportunities. The process of engagement itself had benefits in terms of connecting decision-makers with their peers and sparking increased interest in the use and refinement of priority setting frameworks. PMID:19754969

Importance of mixed methods in pragmatic trials and dissemination and implementation research.

PubMed

Albright, Karen; Gechter, Katherine; Kempe, Allison

2013-01-01

With increased attention to the importance of translating research to clinical practice and policy, recent years have seen a proliferation of particular types of research, including pragmatic trials and dissemination and implementation research. Such research seeks to understand how and why interventions function in real-world settings, as opposed to highly controlled settings involving conditions not likely to be repeated outside the research study. Because understanding the context in which interventions are implemented is imperative for effective pragmatic trials and dissemination and implementation research, the use of mixed methods is critical to understanding trial results and the success or failure of implementation efforts. This article discusses a number of dimensions of mixed methods research, utilizing at least one qualitative method and at least one quantitative method, that may be helpful when designing projects or preparing grant proposals. Although the strengths and emphases of qualitative and quantitative approaches differ substantially, methods may be combined in a variety of ways to achieve a deeper level of understanding than can be achieved by one method alone. However, researchers must understand when and how to integrate the data as well as the appropriate order, priority, and purpose of each method. The ability to demonstrate an understanding of the rationale for and benefits of mixed methods research is increasingly important in today's competitive funding environment, and many funding agencies now expect applicants to include mixed methods in proposals. The increasing demand for mixed methods research necessitates broader methodological training and deepened collaboration between medical, clinical, and social scientists. Although a number of challenges to conducting and disseminating mixed methods research remain, the potential for insight generated by such work is substantial. Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Studying learning in the healthcare setting: the potential of quantitative diary methods.

PubMed

Ciere, Yvette; Jaarsma, Debbie; Visser, Annemieke; Sanderman, Robbert; Snippe, Evelien; Fleer, Joke

2015-08-01

Quantitative diary methods are longitudinal approaches that involve the repeated measurement of aspects of peoples' experience of daily life. In this article, we outline the main characteristics and applications of quantitative diary methods and discuss how their use may further research in the field of medical education. Quantitative diary methods offer several methodological advantages, such as measuring aspects of learning with great detail, accuracy and authenticity. Moreover, they enable researchers to study how and under which conditions learning in the health care setting occurs and in which way learning can be promoted. Hence, quantitative diary methods may contribute to theory development and the optimization of teaching methods in medical education.

The Application of Marketing Science to Educational Settings: A Bibliography.

ERIC Educational Resources Information Center

Stetz, Frank P.

This bibliography, based on searches of "Educational Index,""Resources in Education," and "Psychological Abstracts," lists articles, reports, and dissertations detailing the application of marketing science to educational settings. Entries are organized in five sections: research methods in marketing; marketing research; applications of marketing…

Appraising the reliability of visual impact assessment methods

Treesearch

Nickolaus R. Feimer; Kenneth H. Craik; Richard C. Smardon; Stephen R.J. Sheppard

1979-01-01

This paper presents the research approach and selected results of an empirical investigation aimed at the evaluation of selected observer-based visual impact assessment (VIA) methods. The VIA methods under examination were chosen to cover a range of VIA methods currently in use in both applied and research settings. Variation in three facets of VIA methods were...

Integrating Cross-Case Analyses and Process Tracing in Set-Theoretic Research: Strategies and Parameters of Debate

ERIC Educational Resources Information Center

Beach, Derek; Rohlfing, Ingo

2018-01-01

In recent years, there has been increasing interest in the combination of two methods on the basis of set theory. In our introduction and this special issue, we focus on two variants of cross-case set-theoretic methods--"qualitative comparative analysis" (QCA) and typological theory (TT)--and their combination with process tracing (PT).…

RANKED SET SAMPLING FOR ECOLOGICAL RESEARCH: ACCOUNTING FOR THE TOTAL COSTS OF SAMPLING

EPA Science Inventory

Researchers aim to design environmental studies that optimize precision and allow for generalization of results, while keeping the costs of associated field and laboratory work at a reasonable level. Ranked set sampling is one method to potentially increase precision and reduce ...

Participatory mapping in low-resource settings: Three novel methods used to engage Kenyan youth and other community members in community-based HIV prevention research

PubMed Central

Green, Eric P.; Warren, Virginia Rieck; Broverman, Sherryl; Ogwang, Benson; Puffer, Eve S.

2017-01-01

Understanding the link between health and place can strengthen the design of health interventions, particularly in the context of HIV prevention. Individuals who might one day participate in such interventions—including youth—may further improve the design if engaged in a meaningful way in the formative research process. Increasingly, participatory mapping methods are being used to achieve both aims. We describe the development of three innovative mapping methods for engaging youth in formative community-based research: ‘dot map’ focus groups, geocaching games, and satellite imagery assisted daily activity logs. We demonstrate that these methods are feasible and acceptable in a low-resource, rural African setting. The discussion outlines the merits of each method and considers possible limitations. PMID:27064073

A Systematic Review of Conceptual Models and Methods Used in Research on Educational Leadership and Management in Arab Societies

ERIC Educational Resources Information Center

Hammad, Waheed; Hallinger, Philip

2017-01-01

This review of research analyzed topics, conceptual models and research methods employed in 62 EDLM studies from Arab societies published between 2000 and 2016. Systematic review methods were used to identify relevant studies published in nine core international EDLM journals. Quantitative analyses identified patterns within this set of Arab…

Aerostructural Level Set Topology Optimization for a Common Research Model Wing

NASA Technical Reports Server (NTRS)

Dunning, Peter D.; Stanford, Bret K.; Kim, H. Alicia

2014-01-01

The purpose of this work is to use level set topology optimization to improve the design of a representative wing box structure for the NASA common research model. The objective is to minimize the total compliance of the structure under aerodynamic and body force loading, where the aerodynamic loading is coupled to the structural deformation. A taxi bump case was also considered, where only body force loads were applied. The trim condition that aerodynamic lift must balance the total weight of the aircraft is enforced by allowing the root angle of attack to change. The level set optimization method is implemented on an unstructured three-dimensional grid, so that the method can optimize a wing box with arbitrary geometry. Fast matching and upwind schemes are developed for an unstructured grid, which make the level set method robust and efficient. The adjoint method is used to obtain the coupled shape sensitivities required to perform aerostructural optimization of the wing box structure.

Moving Beyond a Deficit Perspective with Qualitative Research Methods.

ERIC Educational Resources Information Center

Anzul, Margaret; Evans, Judith F.; King, Rita; Tellier-Robinson, Dora

2001-01-01

Four researchers argue the merits of qualitative methodology and its particular relevance to those in special education who seek to move beyond a deficit perspective. Unconstrained by defined variables and decontextualized settings, qualitative methods allowed the researchers to extend the scope of their studies beyond originally stated research…

Research design: qualitative, quantitative and mixed methods approaches Research design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 £29 0761924426 0761924426 [Formula: see text].

PubMed

2004-09-01

The second edition of Creswell's book has been significantly revised and updated. The author clearly sets out three approaches to research: quantitative, qualitative and mixed methods. As someone who has used mixed methods in my research, it is refreshing to read a textbook that addresses this. The differences between the approaches are clearly identified and a rationale for using each methodological stance provided.

A method to evaluate performance reliability of individual subjects in laboratory research applied to work settings.

DOT National Transportation Integrated Search

1978-10-01

This report presents a method that may be used to evaluate the reliability of performance of individual subjects, particularly in applied laboratory research. The method is based on analysis of variance of a tasks-by-subjects data matrix, with all sc...

Development, implementation and evaluation of a clinical research engagement and leadership capacity building program in a large Australian health care service.

PubMed

Misso, Marie L; Ilic, Dragan; Haines, Terry P; Hutchinson, Alison M; East, Christine E; Teede, Helena J

2016-01-14

Health professionals need to be integrated more effectively in clinical research to ensure that research addresses clinical needs and provides practical solutions at the coal face of care. In light of limited evidence on how best to achieve this, evaluation of strategies to introduce, adapt and sustain evidence-based practices across different populations and settings is required. This project aims to address this gap through the co-design, development, implementation, evaluation, refinement and ultimately scale-up of a clinical research engagement and leadership capacity building program in a clinical setting with little to no co-ordinated approach to clinical research engagement and education. The protocol is based on principles of research capacity building and on a six-step framework, which have previously led to successful implementation and long-term sustainability. A mixed methods study design will be used. Methods will include: (1) a review of the literature about strategies that engage health professionals in research through capacity building and/or education in research methods; (2) a review of existing local research education and support elements; (3) a needs assessment in the local clinical setting, including an online cross-sectional survey and semi-structured interviews; (4) co-design and development of an educational and support program; (5) implementation of the program in the clinical environment; and (6) pre- and post-implementation evaluation and ultimately program scale-up. The evaluation focuses on research activity and knowledge, attitudes and preferences about clinical research, evidence-based practice and leadership and post implementation, about their satisfaction with the program. The investigators will evaluate the feasibility and effect of the program according to capacity building measures and will revise where appropriate prior to scale-up. It is anticipated that this clinical research engagement and leadership capacity building program will enable and enhance clinically relevant research to be led and conducted by health professionals in the health setting. This approach will also encourage identification of areas of clinical uncertainty and need that can be addressed through clinical research within the health setting.

Structured Feedback Training for Time-Out: Efficacy and Efficiency in Comparison to a Didactic Method.

PubMed

Jensen, Scott A; Blumberg, Sean; Browning, Megan

2017-09-01

Although time-out has been demonstrated to be effective across multiple settings, little research exists on effective methods for training others to implement time-out. The present set of studies is an exploratory analysis of a structured feedback method for training time-out using repeated role-plays. The three studies examined (a) a between-subjects comparison to more a traditional didactic/video modeling method of time-out training, (b) a within-subjects comparison to traditional didactic/video modeling training for another skill, and (c) the impact of structured feedback training on in-home time-out implementation. Though findings are only preliminary and more research is needed, the structured feedback method appears across studies to be an efficient, effective method that demonstrates good maintenance of skill up to 3 months post training. Findings suggest, though do not confirm, a benefit of the structured feedback method over a more traditional didactic/video training model. Implications and further research on the method are discussed.

A collaborative comparison of objective structured clinical examination (OSCE) standard setting methods at Australian medical schools.

PubMed

Malau-Aduli, Bunmi Sherifat; Teague, Peta-Ann; D'Souza, Karen; Heal, Clare; Turner, Richard; Garne, David L; van der Vleuten, Cees

2017-12-01

A key issue underpinning the usefulness of the OSCE assessment to medical education is standard setting, but the majority of standard-setting methods remain challenging for performance assessment because they produce varying passing marks. Several studies have compared standard-setting methods; however, most of these studies are limited by their experimental scope, or use data on examinee performance at a single OSCE station or from a single medical school. This collaborative study between 10 Australian medical schools investigated the effect of standard-setting methods on OSCE cut scores and failure rates. This research used 5256 examinee scores from seven shared OSCE stations to calculate cut scores and failure rates using two different compromise standard-setting methods, namely the Borderline Regression and Cohen's methods. The results of this study indicate that Cohen's method yields similar outcomes to the Borderline Regression method, particularly for large examinee cohort sizes. However, with lower examinee numbers on a station, the Borderline Regression method resulted in higher cut scores and larger difference margins in the failure rates. Cohen's method yields similar outcomes as the Borderline Regression method and its application for benchmarking purposes and in resource-limited settings is justifiable, particularly with large examinee numbers.

Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems

NASA Astrophysics Data System (ADS)

Peng, Juan-juan; Wang, Jian-qiang; Wang, Jing; Zhang, Hong-yu; Chen, Xiao-hong

2016-07-01

As a variation of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed to represent uncertain, imprecise, incomplete and inconsistent information that exists in the real world. Simplified neutrosophic sets (SNSs) have been proposed for the main purpose of addressing issues with a set of specific numbers. However, there are certain problems regarding the existing operations of SNSs, as well as their aggregation operators and the comparison methods. Therefore, this paper defines the novel operations of simplified neutrosophic numbers (SNNs) and develops a comparison method based on the related research of intuitionistic fuzzy numbers. On the basis of these operations and the comparison method, some SNN aggregation operators are proposed. Additionally, an approach for multi-criteria group decision-making (MCGDM) problems is explored by applying these aggregation operators. Finally, an example to illustrate the applicability of the proposed method is provided and a comparison with some other methods is made.

Visual Tools for Eliciting Connections and Cohesiveness in Mixed Methods Research

ERIC Educational Resources Information Center

Murawska, Jaclyn M.; Walker, David A.

2017-01-01

In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…

Reliability and Validity of 10 Different Standard Setting Procedures.

ERIC Educational Resources Information Center

Halpin, Glennelle; Halpin, Gerald

Research indicating that different cut-off points result from the use of different standard-setting techniques leaves decision makers with a disturbing dilemma: Which standard-setting method is best? This investigation of the reliability and validity of 10 different standard-setting approaches was designed to provide information that might help…

Educational Research with Real-World Data: Reducing Selection Bias with Propensity Scores

ERIC Educational Resources Information Center

Adelson, Jill L.

2013-01-01

Often it is infeasible or unethical to use random assignment in educational settings to study important constructs and questions. Hence, educational research often uses observational data, such as large-scale secondary data sets and state and school district data, and quasi-experimental designs. One method of reducing selection bias in estimations…

Applications of propensity score methods in observational comparative effectiveness and safety research: where have we come and where should we go?

PubMed

Borah, Bijan J; Moriarty, James P; Crown, William H; Doshi, Jalpa A

2014-01-01

Propensity score (PS) methods have proliferated in recent years in observational studies in general and in observational comparative effectiveness research (CER) in particular. PS methods are an important set of tools for estimating treatment effects in observational studies, enabling adjustment for measured confounders in an easy-to-understand and transparent way. This article demonstrates how PS methods have been used to address specific CER questions from 2001 through to 2012 by identifying six impactful studies from this period. This article also discusses areas for improvement, including data infrastructure, and a unified set of guidelines in terms of PS implementation and reporting, which will boost confidence in evidence generated through observational CER using PS methods.

Analysis to Inform CA Grid Integration Rules for PV: Final Report on Inverter Settings for Transmission and Distribution System Performance

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

Smith, Jeff; Rylander, Matthew; Boemer, Jens

The fourth solicitation of the California Solar Initiative (CSI) Research, Development, Demonstration and Deployment (RD&D) Program established by the California Public Utilities Commission (CPUC) supported the Electric Power Research Institute (EPRI), National Renewable Energy Laboratory (NREL), and Sandia National Laboratories (SNL) with data provided from Pacific Gas and Electric (PG&E), Southern California Edison (SCE), and San Diego Gas and Electric (SDG&E) conducted research to determine optimal default settings for distributed energy resource advanced inverter controls. The inverter functions studied are aligned with those developed by the California Smart Inverter Working Group (SIWG) and those being considered by the IEEE 1547more » Working Group. The advanced inverter controls examined to improve the distribution system response included power factor, volt-var, and volt-watt. The advanced inverter controls examined to improve the transmission system response included frequency and voltage ride-through as well as Dynamic Voltage Support. This CSI RD&D project accomplished the task of developing methods to derive distribution focused advanced inverter control settings, selecting a diverse set of feeders to evaluate the methods through detailed analysis, and evaluating the effectiveness of each method developed. Inverter settings focused on the transmission system performance were also evaluated and verified. Based on the findings of this work, the suggested advanced inverter settings and methods to determine settings can be used to improve the accommodation of distributed energy resources (PV specifically). The voltage impact from PV can be mitigated using power factor, volt-var, or volt-watt control, while the bulk system impact can be improved with frequency/voltage ride-through.« less

The robust design for improving crude palm oil quality in Indonesian Mill

NASA Astrophysics Data System (ADS)

Maretia Benu, Siti; Sinulingga, Sukaria; Matondang, Nazaruddin; Budiman, Irwan

2018-04-01

This research was conducted in palm oil mill in Sumatra Utara Province, Indonesia. Currently, the main product of this mill is Crude Palm Oil (CPO) and hasn’t met the expected standard quality. CPO is the raw material for many fat derivative products. The generally stipulated quality criteria are dirt count, free fatty acid, and moisture of CPO. The aim of this study is to obtain the optimal setting for factor’s affect the quality of CPO. The optimal setting will result in an improvement of product’s quality. In this research, Experimental Design with Taguchi Method is used. Steps of this method are identified influence factors, select the orthogonal array, processed data using ANOVA test and signal to noise ratio, and confirmed the research using Quality Loss Function. The result of this study using Taguchi Method is to suggest to set fruit maturity at 75.4-86.9%, digester temperature at 95°C and press at 21 Ampere to reduce quality deviation until 42.42%.

Opening up the black box: an introduction to qualitative research methods in anaesthesia.

PubMed

Shelton, C L; Smith, A F; Mort, M

2014-03-01

Qualitative research methods are a group of techniques designed to allow the researcher to understand phenomena in their natural setting. A wide range is used, including focus groups, interviews, observation, and discourse analysis techniques, which may be used within research approaches such as grounded theory or ethnography. Qualitative studies in the anaesthetic setting have been used to define excellence in anaesthesia, explore the reasons behind drug errors, investigate the acquisition of expertise and examine incentives for hand-hygiene in the operating theatre. Understanding how and why people act the way they do is essential for the advancement of anaesthetic practice, and rigorous, well-designed qualitative research can generate useful data and important insights. Meticulous social scientific methods, transparency, reproducibility and reflexivity are markers of quality in qualitative research. Tools such as the consolidated criteria for reporting qualitative research checklist and the critical appraisal skills programme are available to help authors, reviewers and readers unfamiliar with qualitative research assess its merits. © 2013 The Association of Anaesthetists of Great Britain and Ireland.

Systematic Review of Methods in Low-Consensus Fields: Supporting Commensuration through `Construct-Centered Methods Aggregation' in the Case of Climate Change Vulnerability Research.

PubMed

Delaney, Aogán; Tamás, Peter A; Crane, Todd A; Chesterman, Sabrina

2016-01-01

There is increasing interest in using systematic review to synthesize evidence on the social and environmental effects of and adaptations to climate change. Use of systematic review for evidence in this field is complicated by the heterogeneity of methods used and by uneven reporting. In order to facilitate synthesis of results and design of subsequent research a method, construct-centered methods aggregation, was designed to 1) provide a transparent, valid and reliable description of research methods, 2) support comparability of primary studies and 3) contribute to a shared empirical basis for improving research practice. Rather than taking research reports at face value, research designs are reviewed through inductive analysis. This involves bottom-up identification of constructs, definitions and operationalizations; assessment of concepts' commensurability through comparison of definitions; identification of theoretical frameworks through patterns of construct use; and integration of transparently reported and valid operationalizations into ideal-type research frameworks. Through the integration of reliable bottom-up inductive coding from operationalizations and top-down coding driven from stated theory with expert interpretation, construct-centered methods aggregation enabled both resolution of heterogeneity within identically named constructs and merging of differently labeled but identical constructs. These two processes allowed transparent, rigorous and contextually sensitive synthesis of the research presented in an uneven set of reports undertaken in a heterogenous field. If adopted more broadly, construct-centered methods aggregation may contribute to the emergence of a valid, empirically-grounded description of methods used in primary research. These descriptions may function as a set of expectations that improves the transparency of reporting and as an evolving comprehensive framework that supports both interpretation of existing and design of future research.

Systematic Review of Methods in Low-Consensus Fields: Supporting Commensuration through `Construct-Centered Methods Aggregation’ in the Case of Climate Change Vulnerability Research

PubMed Central

Crane, Todd A.; Chesterman, Sabrina

2016-01-01

There is increasing interest in using systematic review to synthesize evidence on the social and environmental effects of and adaptations to climate change. Use of systematic review for evidence in this field is complicated by the heterogeneity of methods used and by uneven reporting. In order to facilitate synthesis of results and design of subsequent research a method, construct-centered methods aggregation, was designed to 1) provide a transparent, valid and reliable description of research methods, 2) support comparability of primary studies and 3) contribute to a shared empirical basis for improving research practice. Rather than taking research reports at face value, research designs are reviewed through inductive analysis. This involves bottom-up identification of constructs, definitions and operationalizations; assessment of concepts’ commensurability through comparison of definitions; identification of theoretical frameworks through patterns of construct use; and integration of transparently reported and valid operationalizations into ideal-type research frameworks. Through the integration of reliable bottom-up inductive coding from operationalizations and top-down coding driven from stated theory with expert interpretation, construct-centered methods aggregation enabled both resolution of heterogeneity within identically named constructs and merging of differently labeled but identical constructs. These two processes allowed transparent, rigorous and contextually sensitive synthesis of the research presented in an uneven set of reports undertaken in a heterogenous field. If adopted more broadly, construct-centered methods aggregation may contribute to the emergence of a valid, empirically-grounded description of methods used in primary research. These descriptions may function as a set of expectations that improves the transparency of reporting and as an evolving comprehensive framework that supports both interpretation of existing and design of future research. PMID:26901409

Comparison of image segmentation of lungs using methods: connected threshold, neighborhood connected, and threshold level set segmentation

NASA Astrophysics Data System (ADS)

Amanda, A. R.; Widita, R.

2016-03-01

The aim of this research is to compare some image segmentation methods for lungs based on performance evaluation parameter (Mean Square Error (MSE) and Peak Signal Noise to Ratio (PSNR)). In this study, the methods compared were connected threshold, neighborhood connected, and the threshold level set segmentation on the image of the lungs. These three methods require one important parameter, i.e the threshold. The threshold interval was obtained from the histogram of the original image. The software used to segment the image here was InsightToolkit-4.7.0 (ITK). This research used 5 lung images to be analyzed. Then, the results were compared using the performance evaluation parameter determined by using MATLAB. The segmentation method is said to have a good quality if it has the smallest MSE value and the highest PSNR. The results show that four sample images match the criteria of connected threshold, while one sample refers to the threshold level set segmentation. Therefore, it can be concluded that connected threshold method is better than the other two methods for these cases.

Crisp Sets and Boolean Algebra: A Research Strategy for Student Affairs

ERIC Educational Resources Information Center

Banning, James; Eversole, Barbara; Most, David; Kuk, Linda

2008-01-01

A review of student affairs journals clearly points out that most, if not all, research strategies within the field fall within traditional approaches based on quantitative methods and, more recently, qualitative methods. The purpose of this article is not to discourage use of these time honored research strategies, but to suggest the inclusion of…

USE OF FOCUS GROUPS FOR THE ENVIRONMENTAL HEALTH RESEARCHER

EPA Science Inventory

Qualitative research techniques are often under-utilized by the environmental health researcher. Focus groups, one such qualitative method, can provide rich data sets for study planning and implementation, risk perception, program and policy research, and exploration into future...

Examining organizational change in primary care practices: experiences from using ethnographic methods.

PubMed

Russell, Grant; Advocat, Jenny; Geneau, Robert; Farrell, Barbara; Thille, Patricia; Ward, Natalie; Evans, Samantha

2012-08-01

Qualitative methods are an important part of the primary care researcher's toolkit providing a nuanced view of the complexity in primary care reform and delivery. Ethnographic research is a comprehensive approach to qualitative data collection, including observation, in-depth interviews and document analysis. Few studies have been published outlining methodological issues related to ethnography in this setting. This paper examines some of the challenges of conducting an ethnographic study in primary care setting in Canada, where there recently have been major reforms to traditional methods of organizing primary care services. This paper is based on an ethnographic study set in primary care practices in Ontario, Canada, designed to investigate changes to organizational and clinical routines in practices undergoing transition to new, interdisciplinary Family Health Teams (FHTs). The study was set in six new FHTs in Ontario. This paper is a reflexive examination of some of the challenges encountered while conducting an ethnographic study in a primary care setting. Our experiences in this study highlight some potential benefits of and difficulties in conducting an ethnographic study in family practice. Our study design gave us an opportunity to highlight the changes in routines within an organization in transition. A study with a clinical perspective requires training, support, a mixture of backgrounds and perspectives and ongoing communication. Despite some of the difficulties, the richness of this method has allowed the exploration of a number of additional research questions that emerged during data analysis.

DNA Everywhere. A Guide for Simplified Environmental Genomic DNA Extraction Suitable for Use in Remote Areas

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

Gabrielle N. Pecora; Francine C. Reid; Lauren M. Tom

2016-05-01

Collecting field samples from remote or geographically distant areas can be a financially and logistically challenging. With participation of a local organization where the samples are originated from, gDNA samples can be extracted from the field and shipped to a research institution for further processing and analysis. The ability to set up gDNA extraction capabilities in the field can drastically reduce cost and time when running long-term microbial studies with a large sample set. The method outlined here has developed a compact and affordable method for setting up a “laboratory” and extracting and shipping gDNA samples from anywhere in themore » world. This white paper explains the process of setting up the “laboratory”, choosing and training individuals with no prior scientific experience how to perform gDNA extractions and safe methods for shipping extracts to any research institution. All methods have been validated by the Andersen group at Lawrence Berkeley National Laboratory using the Berkeley Lab PhyloChip.« less

Is There a Consensus on Consensus Methodology? Descriptions and Recommendations for Future Consensus Research.

PubMed

Waggoner, Jane; Carline, Jan D; Durning, Steven J

2016-05-01

The authors of this article reviewed the methodology of three common consensus methods: nominal group process, consensus development panels, and the Delphi technique. The authors set out to determine how a majority of researchers are conducting these studies, how they are analyzing results, and subsequently the manner in which they are reporting their findings. The authors conclude with a set of guidelines and suggestions designed to aid researchers who choose to use the consensus methodology in their work.Overall, researchers need to describe their inclusion criteria. In addition to this, on the basis of the current literature the authors found that a panel size of 5 to 11 members was most beneficial across all consensus methods described. Lastly, the authors agreed that the statistical analyses done in consensus method studies should be as rigorous as possible and that the predetermined definition of consensus must be included in the ultimate manuscript. More specific recommendations are given for each of the three consensus methods described in the article.

Voluntary authority set up.

PubMed

Clarke, M

The British Medical Research Council (MRC), in association with the Royal College of Obstetricians and Gynaecologists, has responded to the Warnock report on human fertilization and embryology by setting up a voluntary authority to license such research. MRC also seeks to define the term "embryo" and to include as research "new and untried treatment." Possible lines of investigation include studies on infertility, genetic and congenital diseases, and contraceptive methods. However, if Enoch Powell's Parliamentary bill should become law, all research on human embryos would be illegal.

Cross-cultural dataset for the evolution of religion and morality project.

PubMed

Purzycki, Benjamin Grant; Apicella, Coren; Atkinson, Quentin D; Cohen, Emma; McNamara, Rita Anne; Willard, Aiyana K; Xygalatas, Dimitris; Norenzayan, Ara; Henrich, Joseph

2016-11-08

A considerable body of research cross-culturally examines the evolution of religious traditions, beliefs and behaviors. The bulk of this research, however, draws from coded qualitative ethnographies rather than from standardized methods specifically designed to measure religious beliefs and behaviors. Psychological data sets that examine religious thought and behavior in controlled conditions tend to be disproportionately sampled from student populations. Some cross-national databases employ standardized methods at the individual level, but are primarily focused on fully market integrated, state-level societies. The Evolution of Religion and Morality Project sought to generate a data set that systematically probed individual level measures sampling across a wider range of human populations. The set includes data from behavioral economic experiments and detailed surveys of demographics, religious beliefs and practices, material security, and intergroup perceptions. This paper describes the methods and variables, briefly introduces the sites and sampling techniques, notes inconsistencies across sites, and provides some basic reporting for the data set.

Cross-cultural dataset for the evolution of religion and morality project

PubMed Central

Purzycki, Benjamin Grant; Apicella, Coren; Atkinson, Quentin D.; Cohen, Emma; McNamara, Rita Anne; Willard, Aiyana K.; Xygalatas, Dimitris; Norenzayan, Ara; Henrich, Joseph

2016-01-01

A considerable body of research cross-culturally examines the evolution of religious traditions, beliefs and behaviors. The bulk of this research, however, draws from coded qualitative ethnographies rather than from standardized methods specifically designed to measure religious beliefs and behaviors. Psychological data sets that examine religious thought and behavior in controlled conditions tend to be disproportionately sampled from student populations. Some cross-national databases employ standardized methods at the individual level, but are primarily focused on fully market integrated, state-level societies. The Evolution of Religion and Morality Project sought to generate a data set that systematically probed individual level measures sampling across a wider range of human populations. The set includes data from behavioral economic experiments and detailed surveys of demographics, religious beliefs and practices, material security, and intergroup perceptions. This paper describes the methods and variables, briefly introduces the sites and sampling techniques, notes inconsistencies across sites, and provides some basic reporting for the data set. PMID:27824332

GeneTopics - interpretation of gene sets via literature-driven topic models

PubMed Central

2013-01-01

Background Annotation of a set of genes is often accomplished through comparison to a library of labelled gene sets such as biological processes or canonical pathways. However, this approach might fail if the employed libraries are not up to date with the latest research, don't capture relevant biological themes or are curated at a different level of granularity than is required to appropriately analyze the input gene set. At the same time, the vast biomedical literature offers an unstructured repository of the latest research findings that can be tapped to provide thematic sub-groupings for any input gene set. Methods Our proposed method relies on a gene-specific text corpus and extracts commonalities between documents in an unsupervised manner using a topic model approach. We automatically determine the number of topics summarizing the corpus and calculate a gene relevancy score for each topic allowing us to eliminate non-specific topics. As a result we obtain a set of literature topics in which each topic is associated with a subset of the input genes providing directly interpretable keywords and corresponding documents for literature research. Results We validate our method based on labelled gene sets from the KEGG metabolic pathway collection and the genetic association database (GAD) and show that the approach is able to detect topics consistent with the labelled annotation. Furthermore, we discuss the results on three different types of experimentally derived gene sets, (1) differentially expressed genes from a cardiac hypertrophy experiment in mice, (2) altered transcript abundance in human pancreatic beta cells, and (3) genes implicated by GWA studies to be associated with metabolite levels in a healthy population. In all three cases, we are able to replicate findings from the original papers in a quick and semi-automated manner. Conclusions Our approach provides a novel way of automatically generating meaningful annotations for gene sets that are directly tied to relevant articles in the literature. Extending a general topic model method, the approach introduced here establishes a workflow for the interpretation of gene sets generated from diverse experimental scenarios that can complement the classical approach of comparison to reference gene sets. PMID:24564875

The legacy of the Child Health and Nutrition Research Initiative (CHNRI).

PubMed

Black, Robert E

2016-06-01

Under the Global Forum for Health Research, the Child Health and Nutrition Research Initiative (CHNRI) began its operations in 1999 and became a Swiss foundation in 2006. The vision of CHNRI was to improve child health and nutrition of all children in low- and middle-income countries (LMIC) through research that informs health policy and practice. Specific objectives included expanding global knowledge on childhood disease burden and cost-effectiveness of interventions, promoting priority setting in research, ensuring inclusion of institutions and scientists in LMIC in setting priorities, promoting capacity development in LMIC and stimulating donors and countries to increase resources for research. CHNRI created a knowledge network, funded research through multiple rounds of a global competitive process and published research papers and policy briefs. A signature effort was to develop a systematic methodology for prioritizing health and nutrition research investments. The "CHNRI method" has been extensively applied to global health problems and is now the most commonly used method for prioritizing health research questions.

Using Experimental Methods in Higher Education Research

ERIC Educational Resources Information Center

Ross, Steven M.; Morrison, Gary R.; Lowther, Deborah L.

2005-01-01

Experimental methods have been used extensively for many years to conduct research in education and psychology. However, applications of experiments to investigate technology and other instructional innovations in higher education settings have been relatively limited. The present paper examines ways in which experiments can be used productively…

Genetic network inference as a series of discrimination tasks.

PubMed

Kimura, Shuhei; Nakayama, Satoshi; Hatakeyama, Mariko

2009-04-01

Genetic network inference methods based on sets of differential equations generally require a great deal of time, as the equations must be solved many times. To reduce the computational cost, researchers have proposed other methods for inferring genetic networks by solving sets of differential equations only a few times, or even without solving them at all. When we try to obtain reasonable network models using these methods, however, we must estimate the time derivatives of the gene expression levels with great precision. In this study, we propose a new method to overcome the drawbacks of inference methods based on sets of differential equations. Our method infers genetic networks by obtaining classifiers capable of predicting the signs of the derivatives of the gene expression levels. For this purpose, we defined a genetic network inference problem as a series of discrimination tasks, then solved the defined series of discrimination tasks with a linear programming machine. Our experimental results demonstrated that the proposed method is capable of correctly inferring genetic networks, and doing so more than 500 times faster than the other inference methods based on sets of differential equations. Next, we applied our method to actual expression data of the bacterial SOS DNA repair system. And finally, we demonstrated that our approach relates to the inference method based on the S-system model. Though our method provides no estimation of the kinetic parameters, it should be useful for researchers interested only in the network structure of a target system. Supplementary data are available at Bioinformatics online.

The CONSENSUS study: protocol for a mixed methods study to establish which outcomes should be included in a core outcome set for oropharyngeal cancer

PubMed Central

2014-01-01

Background The incidence of oropharyngeal cancer is increasing in the developed world. This has led to a large rise in research activity and clinical trials in this area, yet there is no consensus on which outcomes should be measured. As a result, the outcomes measured often differ between trials of comparable interventions, making the combination or comparison of results between trials impossible. Outcomes may also be ‘cherry-picked’, such that favourable results are reported, and less favourable results withheld. The development of a minimum outcome reporting standard, known as a core outcome set, goes some way to addressing these problems. Core outcome sets are ideally developed using a patient-centred approach so that the outcomes measured are relevant to patients and clinical practice. Core outcome sets drive up the quality and relevance of research by ensuring that the right outcomes are consistently measured and reported in trials in specific areas of health or healthcare. Methods/Design This is a mixed methods study involving three phases to develop a core outcome set for oropharyngeal cancer clinical trials. Firstly, a systematic review will establish which outcomes are measured in published oropharyngeal cancer randomised controlled trials (RCTs). Secondly, qualitative interviews with patients and carers in the UK and the USA will aim to establish which outcomes are important to these stakeholders. Data from these first two stages will be used to develop a comprehensive list of outcomes to be considered for inclusion in the core outcome set. In the third stage, patients and clinicians will participate in an iterative consensus exercise known as a Delphi study to refine the contents of the core outcome set. This protocol lays out the methodology to be implemented in the CONSENSUS study. Discussion A core outcome set defines a minimum outcome reporting standard for clinical trials in a particular area of health or healthcare. Its consistent implementation in oropharyngeal cancer clinical trials will improve the quality and relevance of research. Trials and registration This study is registered at the National Institute for Health Research (NIHR) Clinical Research Network (CRN) portfolio, ID 13823 (17 January 2013). PMID:24885068

Advancing the research agenda for diagnostic error reduction.

PubMed

Zwaan, Laura; Schiff, Gordon D; Singh, Hardeep

2013-10-01

Diagnostic errors remain an underemphasised and understudied area of patient safety research. We briefly summarise the methods that have been used to conduct research on epidemiology, contributing factors and interventions related to diagnostic error and outline directions for future research. Research methods that have studied epidemiology of diagnostic error provide some estimate on diagnostic error rates. However, there appears to be a large variability in the reported rates due to the heterogeneity of definitions and study methods used. Thus, future methods should focus on obtaining more precise estimates in different settings of care. This would lay the foundation for measuring error rates over time to evaluate improvements. Research methods have studied contributing factors for diagnostic error in both naturalistic and experimental settings. Both approaches have revealed important and complementary information. Newer conceptual models from outside healthcare are needed to advance the depth and rigour of analysis of systems and cognitive insights of causes of error. While the literature has suggested many potentially fruitful interventions for reducing diagnostic errors, most have not been systematically evaluated and/or widely implemented in practice. Research is needed to study promising intervention areas such as enhanced patient involvement in diagnosis, improving diagnosis through the use of electronic tools and identification and reduction of specific diagnostic process 'pitfalls' (eg, failure to conduct appropriate diagnostic evaluation of a breast lump after a 'normal' mammogram). The last decade of research on diagnostic error has made promising steps and laid a foundation for more rigorous methods to advance the field.

Methods Matter: Improving Causal Inference in Educational and Social Science Research: A Review Article

ERIC Educational Resources Information Center

Eide, Eric R.; Showalter, Mark H.

2012-01-01

Professors Richard J. Murnane and John B. Willett set out to capitalize on recent developments in education data and methodology by attempting to answer the following questions: How can new methods and data be applied most effectively in educational and social science research? What kinds of research designs are most appropriate? What kinds of…

Longitudinal Reliability of Self-Reported Age at Menarche in Adolescent Girls: Variability across Time and Setting

ERIC Educational Resources Information Center

Dorn, Lorah D.; Sontag-Padilla, Lisa M.; Pabst, Stephanie; Tissot, Abbigail; Susman, Elizabeth J.

2013-01-01

Age at menarche is critical in research and clinical settings, yet there is a dearth of studies examining its reliability in adolescents. We examined age at menarche during adolescence, specifically, (a) average method reliability across 3 years, (b) test-retest reliability between time points and methods, (c) intraindividual variability of…

Maximum speed limits. Volume 4, An implementation method for setting a speed limit based on the 85th percentile speed

DOT National Transportation Integrated Search

1970-10-01

This volume contains an explanation of a method for setting a speed limit which was developed as a part of the project conducted by the Institute for Research in Public Safety under Contract No. FH-11-7275, "A Study for the Selection of Maximum Speed...

English semantic word-pair norms and a searchable Web portal for experimental stimulus creation.

PubMed

Buchanan, Erin M; Holmes, Jessica L; Teasley, Marilee L; Hutchison, Keith A

2013-09-01

As researchers explore the complexity of memory and language hierarchies, the need to expand normed stimulus databases is growing. Therefore, we present 1,808 words, paired with their features and concept-concept information, that were collected using previously established norming methods (McRae, Cree, Seidenberg, & McNorgan Behavior Research Methods 37:547-559, 2005). This database supplements existing stimuli and complements the Semantic Priming Project (Hutchison, Balota, Cortese, Neely, Niemeyer, Bengson, & Cohen-Shikora 2010). The data set includes many types of words (including nouns, verbs, adjectives, etc.), expanding on previous collections of nouns and verbs (Vinson & Vigliocco Journal of Neurolinguistics 15:317-351, 2008). We describe the relation between our and other semantic norms, as well as giving a short review of word-pair norms. The stimuli are provided in conjunction with a searchable Web portal that allows researchers to create a set of experimental stimuli without prior programming knowledge. When researchers use this new database in tandem with previous norming efforts, precise stimuli sets can be created for future research endeavors.

Drilling Students’ Communication Skill through Science, Environment, Technology, and Society (SETS)-Based Learning

NASA Astrophysics Data System (ADS)

Al-Farisi, B. L.; Tjandrakirana; Agustini, R.

2018-01-01

Student’s communication skill paid less attention in learning activity at school, even though communication skill is needed by students in the 21st century based on the demands of new curriculum in Indonesia (K13). This study focuses on drilling students’ communication skill through science, environment, technology, and society (SETS)-based learning. The research is a pre-experimental design with a one-shot case study model involving 10 students of ninth-grader of SMPN 2 Manyar, Gresik. The research data were collected through observation method using communication observation sheet. The data were analyzed using the descriptive qualitative method. The result showed that students’ communication skill reached the completeness of skills decided both individually and classically in the curriculum. The fundamental result of this research that SETS-based learning can be used to drill students’ communication skill in K13 context.

Quantum Physics Principles and Communication in the Acute Healthcare Setting: A Pilot Study.

PubMed

Helgeson, Heidi L; Peyerl, Colleen Kraft; Solheim-Witt, Marit

This pilot study explores whether clinician awareness of quantum physics principles could facilitate open communication between patients and providers. In the spirit of action research, this study was conceptualized with a holistic view of human health, using a mixed method design of grounded theory as an emergent method. Instrumentation includes surveys and a focus group discussion with twelve registered nurses working in an acute care hospital setting. Findings document that the preliminary core phenomenon, energy as information, influences communication in the healthcare environment. Key emergent themes include awareness, language, validation, open communication, strategies, coherence, incoherence and power. Research participants indicate that quantum physics principles provide a language and conceptual framework for improving their awareness of communication and interactions in the healthcare environment. Implications of this pilot study support the feasibility of future research and education on awareness of quantum physics principles in other clinical settings. Copyright © 2016 Elsevier Inc. All rights reserved.

Sentiment Analysis of Health Care Tweets: Review of the Methods Used.

PubMed

Gohil, Sunir; Vuik, Sabine; Darzi, Ara

2018-04-23

Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area for health care research. Sentiment is a metric commonly used to investigate the positive or negative opinion within these messages. Exploring the methods used for sentiment analysis in Twitter health care research may allow us to better understand the options available for future research in this growing field. The first objective of this study was to understand which tools would be available for sentiment analysis of Twitter health care research, by reviewing existing studies in this area and the methods they used. The second objective was to determine which method would work best in the health care settings, by analyzing how the methods were used to answer specific health care questions, their production, and how their accuracy was analyzed. A review of the literature was conducted pertaining to Twitter and health care research, which used a quantitative method of sentiment analysis for the free-text messages (tweets). The study compared the types of tools used in each case and examined methods for tool production, tool training, and analysis of accuracy. A total of 12 papers studying the quantitative measurement of sentiment in the health care setting were found. More than half of these studies produced tools specifically for their research, 4 used open source tools available freely, and 2 used commercially available software. Moreover, 4 out of the 12 tools were trained using a smaller sample of the study's final data. The sentiment method was trained against, on an average, 0.45% (2816/627,024) of the total sample data. One of the 12 papers commented on the analysis of accuracy of the tool used. Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations to more complex and expensive commercial software. The open source and commercial methods are developed on product reviews and generic social media messages. None of these methods have been extensively tested against a corpus of health care messages to check their accuracy. This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting-specific corpus of manually annotated tweets first. ©Sunir Gohil, Sabine Vuik, Ara Darzi. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 23.04.2018.

Retrieving atmospheric turbulence information from regular commercial aircraft using Mode-S and ADS-B

NASA Astrophysics Data System (ADS)

Kopeć, Jacek M.; Kwiatkowski, Kamil; de Haan, Siebren; Malinowski, Szymon P.

2016-05-01

Navigational information broadcast by commercial aircraft in the form of Mode-S EHS (Mode-S Enhanced Surveillance) and ADS-B (Automatic Dependent Surveillance-Broadcast) messages can be considered a new source of upper tropospheric and lower stratospheric turbulence estimates. A set of three processing methods is proposed and analysed using a quality record of turbulence encounters made by a research aircraft.The proposed methods are based on processing the vertical acceleration or the background wind into the eddy dissipation rate. Turbulence intensity can be estimated using the standard content of the Mode-S EHS/ADS-B.The results are based on a Mode-S EHS/ADS-B data set generated synthetically based on the transmissions from the research aircraft. This data set was validated using the overlapping record of the Mode-S EHS/ADS-B received from the same research aircraft. The turbulence intensity, meaning the eddy dissipation rate, obtained from the proposed methods based on the Mode-S EHS/ADS-B is compared with the value obtained using on-board accelerometer. The results of the comparison indicate the potential of the methods. The advantages and limitation of the presented approaches are discussed.

Assessing Health Promotion Interventions: Limitations of Traditional Research Methods in Community-Based Studies.

PubMed

Dressel, Anne; Schneider, Robert; DeNomie, Melissa; Kusch, Jennifer; Welch, Whitney; Sosa, Mirtha; Yeldell, Sally; Maida, Tatiana; Wineberg, Jessica; Holt, Keith; Bernstein, Rebecca

2017-09-01

Most low-income Americans fail to meet physical activity recommendations. Inactivity and poor diet contribute to obesity, a risk factor for multiple chronic diseases. Health promotion activities have the potential to improve health outcomes for low-income populations. Measuring the effectiveness of these activities, however, can be challenging in community settings. A "Biking for Health" study tested the impact of a bicycling intervention on overweight or obese low-income Latino and African American adults to reduce barriers to cycling and increase physical activity and fitness. A randomized controlled trial was conducted in Milwaukee, Wisconsin, in summer 2015. A 12-week bicycling intervention was implemented at two sites with low-income, overweight, or obese Latino and African American adults. We found that randomized controlled trial methodology was suboptimal for use in this small pilot study and that it negatively affected participation. More discussion is needed about the effectiveness of using traditional research methods in community settings to assess the effectiveness of health promotion interventions. Modifications or alternative methods may yield better results. The aim of this article is to discuss the effectiveness and feasibility of using traditional research methods to assess health promotion interventions in community-based settings.

Barriers to Healthier Eating in a Disadvantaged Community

ERIC Educational Resources Information Center

O'Neill, Martin; Rebane, Deanne; Lester, Carolyn

2004-01-01

Objective: The research objective was to identify how healthy eating was understood in a disadvantaged community and how barriers to healthy eating might be overcome. Design: Participatory action research. Setting: Communities in Gurnos, Merthyr Tydfil, one of the most deprived areas in the UK. Method: Trainees on a participative methods course…

Regionalisation of statistical model outputs creating gridded data sets for Germany

NASA Astrophysics Data System (ADS)

Höpp, Simona Andrea; Rauthe, Monika; Deutschländer, Thomas

2016-04-01

The goal of the German research program ReKliEs-De (regional climate projection ensembles for Germany, http://.reklies.hlug.de) is to distribute robust information about the range and the extremes of future climate for Germany and its neighbouring river catchment areas. This joint research project is supported by the German Federal Ministry of Education and Research (BMBF) and was initiated by the German Federal States. The Project results are meant to support the development of adaptation strategies to mitigate the impacts of future climate change. The aim of our part of the project is to adapt and transfer the regionalisation methods of the gridded hydrological data set (HYRAS) from daily station data to the station based statistical regional climate model output of WETTREG (regionalisation method based on weather patterns). The WETTREG model output covers the period of 1951 to 2100 with a daily temporal resolution. For this, we generate a gridded data set of the WETTREG output for precipitation, air temperature and relative humidity with a spatial resolution of 12.5 km x 12.5 km, which is common for regional climate models. Thus, this regionalisation allows comparing statistical to dynamical climate model outputs. The HYRAS data set was developed by the German Meteorological Service within the German research program KLIWAS (www.kliwas.de) and consists of daily gridded data for Germany and its neighbouring river catchment areas. It has a spatial resolution of 5 km x 5 km for the entire domain for the hydro-meteorological elements precipitation, air temperature and relative humidity and covers the period of 1951 to 2006. After conservative remapping the HYRAS data set is also convenient for the validation of climate models. The presentation will consist of two parts to present the actual state of the adaptation of the HYRAS regionalisation methods to the statistical regional climate model WETTREG: First, an overview of the HYRAS data set and the regionalisation methods for precipitation (REGNIE method based on a combination of multiple linear regression with 5 predictors and inverse distance weighting), air temperature and relative humidity (optimal interpolation) will be given. Finally, results of the regionalisation of WETTREG model output will be shown.

The Use of Discourse Markers as an Interactive Feature in Science Lecture Discourse in L2 Setting

ERIC Educational Resources Information Center

Rido, Akhyar

2010-01-01

The objective of this research is to investigate the function of discourse markers as an interpersonal-interactive feature in a science lecture in second language (L2) setting in Malaysia. This research employs qualitative method while the data are gathered through non-participant observation and video recording. From the findings, there are…

Interlaboratory Collaborations in the Undergraduate Setting

ERIC Educational Resources Information Center

Megehee, Elise G.; Hyslop, Alison G.; Rosso, Richard J.

2005-01-01

A novel approach to cross-disciplinary and group learning, known as interlaboratory collaborations, was developed. The method mimics an industrial or research setting, fosters teamwork, and emphasizes the importance of good communication skills in the sciences.

Combining qualitative and quantitative operational research methods to inform quality improvement in pathways that span multiple settings

PubMed Central

Crowe, Sonya; Brown, Katherine; Tregay, Jenifer; Wray, Jo; Knowles, Rachel; Ridout, Deborah A; Bull, Catherine; Utley, Martin

2017-01-01

Background Improving integration and continuity of care across sectors within resource constraints is a priority in many health systems. Qualitative operational research methods of problem structuring have been used to address quality improvement in services involving multiple sectors but not in combination with quantitative operational research methods that enable targeting of interventions according to patient risk. We aimed to combine these methods to augment and inform an improvement initiative concerning infants with congenital heart disease (CHD) whose complex care pathway spans multiple sectors. Methods Soft systems methodology was used to consider systematically changes to services from the perspectives of community, primary, secondary and tertiary care professionals and a patient group, incorporating relevant evidence. Classification and regression tree (CART) analysis of national audit datasets was conducted along with data visualisation designed to inform service improvement within the context of limited resources. Results A ‘Rich Picture’ was developed capturing the main features of services for infants with CHD pertinent to service improvement. This was used, along with a graphical summary of the CART analysis, to guide discussions about targeting interventions at specific patient risk groups. Agreement was reached across representatives of relevant health professions and patients on a coherent set of targeted recommendations for quality improvement. These fed into national decisions about service provision and commissioning. Conclusions When tackling complex problems in service provision across multiple settings, it is important to acknowledge and work with multiple perspectives systematically and to consider targeting service improvements in response to confined resources. Our research demonstrates that applying a combination of qualitative and quantitative operational research methods is one approach to doing so that warrants further consideration. PMID:28062603

Evaluation of the Structural Performance of CTS Rapid Set Concrete Mix

DTIC Science & Technology

2016-08-01

June 2015, research was conducted at the U.S. Army Engineer Research and Development Center (ERDC) in Vicksburg, MS, to develop pavement design curves...using the Department of Defense’s (DoD) rigid pavement design method. Results indicate that the DoD’s rigid pavement design criteria are conservative...1.2 Objective and scope The objective of the research presented in this report was to develop pavement design curves relating CTS Rapid Set

Bridging informatics and implementation science: evaluating a framework to assess electronic health record implementations in community settings.

PubMed

Richardson, Joshua E; Abramson, Erika L; Pfoh, Elizabeth R; Kaushal, Rainu

2012-01-01

Effective electronic health record (EHR) implementations in community settings are critical to promoting safe and reliable EHR use as well as mitigating provider dissatisfaction that often results. The implementation challenge is compounded given the scale and scope of EHR installations that are occurring and will continue to occur over the next five years. However, when compared to EHR evaluations relatively few biomedical informatics researchers have published on evaluating EHR implementations. Fewer still have evaluated EHR implementations in community settings. We report on the methods we used to achieve a novel application of an implementation science framework in informatics to qualitatively evaluate community-based EHR implementations. We briefly provide an overview of the implementation science framework, our methods for adapting it to informatics, the effects the framework had on our qualitative methods of inquiry and analysis, and discuss its potential value for informatics research.

The UK-SEA-ME Psychosocial-Cultural Cancer Research Network: setting the stage for applied qualitative research on cancer health behaviour in southeast Asia and the Middle East.

PubMed

Lim, Jennifer N W

2011-01-01

Psychosocial and cultural factors influencing cancer health behaviour have not been systematically investigated outside the western culture, and qualitative research is the best approach for this type of social research. The research methods employed to study health problems in Asia predominantly are quantitative techniques. The set up of the first psychosocial cancer research network in Asia marks the beginning of a collaboration to promote and spearhead applied qualitative healthcare research in cancer in the UK, Southeast Asia and the Middle East. This paper sets out the rationale, objectives and mission for the UK-SEA-ME Psychosocial-Cultural Cancer Research Network. The UK-SEA-ME network is made up of collaborators from the University of Leeds (UK), the University of Malaya (Malaysia), the National University of Singapore (Singapore) and the University of United Arab Emirates (UAE). The network promotes applied qualitative research to investigate the psychosocial and cultural factors influencing delayed and late presentation and diagnosis for cancer (breast cancer) in partner countries, as well as advocating the use of the mixed-methods research approach. The network also offers knowledge transfer for capacity building within network universities. The mission of the network is to improve public awareness about the importance of early management and prevention of cancer through research in Asia.

Research on Standard and Automatic Judgment of Press-fit Curve of Locomotive Wheel-set Based on AAR Standard

NASA Astrophysics Data System (ADS)

Lu, Jun; Xiao, Jun; Gao, Dong Jun; Zong, Shu Yu; Li, Zhu

2018-03-01

In the production of the Association of American Railroads (AAR) locomotive wheel-set, the press-fit curve is the most important basis for the reliability of wheel-set assembly. In the past, Most of production enterprises mainly use artificial detection methods to determine the quality of assembly. There are cases of miscarriage of justice appear. For this reason, the research on the standard is carried out. And the automatic judgment of press-fit curve is analysed and designed, so as to provide guidance for the locomotive wheel-set production based on AAR standard.

Ethics and equity in research priority-setting: stakeholder engagement and the needs of disadvantaged groups.

PubMed

Bhaumik, Soumyadeep; Rana, Sangeeta; Karimkhani, Chante; Welch, Vivian; Armstrong, Rebecca; Pottie, Kevin; Dellavalle, Robert; Dhakal, Purushottam; Oliver, Sandy; Francis, Damian K; Nasser, Mona; Crowe, Sally; Aksut, Baran; Amico, Roberto D

2015-01-01

A transparent and evidence-based priority-setting process promotes the optimal use of resources to improve health outcomes. Decision-makers and funders have begun to increasingly engage representatives of patients and healthcare consumers to ensure that research becomes more relevant. However, disadvantaged groups and their needs may not be integrated into the priority-setting process since they do not have a "political voice" or are unable to organise into interest groups. Equitable priority-setting methods need to balance patient needs, values, experiences with population-level issues and issues related to the health system.

Positive-unlabeled learning for disease gene identification

PubMed Central

Yang, Peng; Li, Xiao-Li; Mei, Jian-Ping; Kwoh, Chee-Keong; Ng, See-Kiong

2012-01-01

Background: Identifying disease genes from human genome is an important but challenging task in biomedical research. Machine learning methods can be applied to discover new disease genes based on the known ones. Existing machine learning methods typically use the known disease genes as the positive training set P and the unknown genes as the negative training set N (non-disease gene set does not exist) to build classifiers to identify new disease genes from the unknown genes. However, such kind of classifiers is actually built from a noisy negative set N as there can be unknown disease genes in N itself. As a result, the classifiers do not perform as well as they could be. Result: Instead of treating the unknown genes as negative examples in N, we treat them as an unlabeled set U. We design a novel positive-unlabeled (PU) learning algorithm PUDI (PU learning for disease gene identification) to build a classifier using P and U. We first partition U into four sets, namely, reliable negative set RN, likely positive set LP, likely negative set LN and weak negative set WN. The weighted support vector machines are then used to build a multi-level classifier based on the four training sets and positive training set P to identify disease genes. Our experimental results demonstrate that our proposed PUDI algorithm outperformed the existing methods significantly. Conclusion: The proposed PUDI algorithm is able to identify disease genes more accurately by treating the unknown data more appropriately as unlabeled set U instead of negative set N. Given that many machine learning problems in biomedical research do involve positive and unlabeled data instead of negative data, it is possible that the machine learning methods for these problems can be further improved by adopting PU learning methods, as we have done here for disease gene identification. Availability and implementation: The executable program and data are available at http://www1.i2r.a-star.edu.sg/∼xlli/PUDI/PUDI.html. Contact: xlli@i2r.a-star.edu.sg or yang0293@e.ntu.edu.sg Supplementary information: Supplementary Data are available at Bioinformatics online. PMID:22923290

Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems

PubMed Central

Zhang, Hong-yu; Wang, Jian-qiang; Chen, Xiao-hong

2014-01-01

As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed to represent uncertain, imprecise, incomplete, and inconsistent information existing in the real world. And interval neutrosophic sets (INSs) have been proposed exactly to address issues with a set of numbers in the real unit interval, not just a specific number. However, there are fewer reliable operations for INSs, as well as the INS aggregation operators and decision making method. For this purpose, the operations for INSs are defined and a comparison approach is put forward based on the related research of interval valued intuitionistic fuzzy sets (IVIFSs) in this paper. On the basis of the operations and comparison approach, two interval neutrosophic number aggregation operators are developed. Then, a method for multicriteria decision making problems is explored applying the aggregation operators. In addition, an example is provided to illustrate the application of the proposed method. PMID:24695916

Interval neutrosophic sets and their application in multicriteria decision making problems.

PubMed

Zhang, Hong-yu; Wang, Jian-qiang; Chen, Xiao-hong

2014-01-01

As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed to represent uncertain, imprecise, incomplete, and inconsistent information existing in the real world. And interval neutrosophic sets (INSs) have been proposed exactly to address issues with a set of numbers in the real unit interval, not just a specific number. However, there are fewer reliable operations for INSs, as well as the INS aggregation operators and decision making method. For this purpose, the operations for INSs are defined and a comparison approach is put forward based on the related research of interval valued intuitionistic fuzzy sets (IVIFSs) in this paper. On the basis of the operations and comparison approach, two interval neutrosophic number aggregation operators are developed. Then, a method for multicriteria decision making problems is explored applying the aggregation operators. In addition, an example is provided to illustrate the application of the proposed method.

Incorporating current research into formal higher education settings using Astrobites

NASA Astrophysics Data System (ADS)

Sanders, Nathan E.; Kohler, Susanna; Faesi, Chris; Villar, Ashley; Zevin, Michael

2017-10-01

A primary goal of many undergraduate- and graduate-level courses in the physical sciences is to prepare students to engage in scientific research or to prepare students for careers that leverage skillsets similar to those used by research scientists. Even for students who may not intend to pursue a career with these characteristics, exposure to the context of applications in modern research can be a valuable tool for teaching and learning. However, a persistent barrier to student participation in research is familiarity with the technical language, format, and context that academic researchers use to communicate research methods and findings with each other: the literature of the field. Astrobites, an online web resource authored by graduate students, has published brief and accessible summaries of more than 1300 articles from the astrophysical literature since its founding in 2010. This article presents three methods for introducing students at all levels within the formal higher education setting to approaches and results from modern research. For each method, we provide a sample lesson plan that integrates content and principles from Astrobites, including step-by-step instructions for instructors, suggestions for adapting the lesson to different class levels across the undergraduate and graduate spectrum, sample student handouts, and a grading rubric.

Research priority setting in childhood chronic disease: a systematic review.

PubMed

Odgers, Harrison Lindsay; Tong, Allison; Lopez-Vargas, Pamela; Davidson, Andrew; Jaffe, Adam; McKenzie, Anne; Pinkerton, Ross; Wake, Melissa; Richmond, Peter; Crowe, Sally; Caldwell, Patrina Ha Yuen; Hill, Sophie; Couper, Jennifer; Haddad, Suzy; Kassai, Behrouz; Craig, Jonathan C

2018-04-11

To evaluate research priority setting approaches in childhood chronic diseases and to describe the priorities of stakeholders including patients, caregivers/families and health professionals. We conducted a systematic review of MEDLINE, Embase, PsycINFO and CINAHL from inception to 16 October 2016. Studies that elicited stakeholder priorities for paediatric chronic disease research were eligible for inclusion. Data on the prioritisation process were extracted using an appraisal checklist. Generated priorities were collated into common topic areas. We identified 83 studies (n=15 722). Twenty (24%) studies involved parents/caregivers and four (5%) children. The top three health areas were cancer (11%), neurology (8%) and endocrine/metabolism (8%). Priority topic areas were treatment (78%), disease trajectory (48%), quality of life/psychosocial impact (48%), disease onset/prevention (43%), knowledge/self-management (33%), prevalence (30%), diagnostic methods (28%), access to healthcare (25%) and transition to adulthood (12%). The methods included workshops, Delphi techniques, surveys and focus groups/interviews. Specific methods for collecting and prioritising research topics were described in only 60% of studies. Most reviewed studies were conducted in high-income nations. Research priority setting activities in paediatric chronic disease cover many discipline areas and have elicited a broad range of topics. However, child/caregiver involvement is uncommon, and the methods often lack clarity. A systematic and explicit process that involves patients and families in partnership may help to inform a more patient and family-relevant research agenda in paediatric chronic disease. © 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.

Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets

PubMed Central

Belter, Christopher W.

2014-01-01

Evaluation of scientific research is becoming increasingly reliant on publication-based bibliometric indicators, which may result in the devaluation of other scientific activities - such as data curation – that do not necessarily result in the production of scientific publications. This issue may undermine the movement to openly share and cite data sets in scientific publications because researchers are unlikely to devote the effort necessary to curate their research data if they are unlikely to receive credit for doing so. This analysis attempts to demonstrate the bibliometric impact of properly curated and openly accessible data sets by attempting to generate citation counts for three data sets archived at the National Oceanographic Data Center. My findings suggest that all three data sets are highly cited, with estimated citation counts in most cases higher than 99% of all the journal articles published in Oceanography during the same years. I also find that methods of citing and referring to these data sets in scientific publications are highly inconsistent, despite the fact that a formal citation format is suggested for each data set. These findings have important implications for developing a data citation format, encouraging researchers to properly curate their research data, and evaluating the bibliometric impact of individuals and institutions. PMID:24671177

Measuring the value of research data: a citation analysis of oceanographic data sets.

PubMed

Belter, Christopher W

2014-01-01

Evaluation of scientific research is becoming increasingly reliant on publication-based bibliometric indicators, which may result in the devaluation of other scientific activities--such as data curation--that do not necessarily result in the production of scientific publications. This issue may undermine the movement to openly share and cite data sets in scientific publications because researchers are unlikely to devote the effort necessary to curate their research data if they are unlikely to receive credit for doing so. This analysis attempts to demonstrate the bibliometric impact of properly curated and openly accessible data sets by attempting to generate citation counts for three data sets archived at the National Oceanographic Data Center. My findings suggest that all three data sets are highly cited, with estimated citation counts in most cases higher than 99% of all the journal articles published in Oceanography during the same years. I also find that methods of citing and referring to these data sets in scientific publications are highly inconsistent, despite the fact that a formal citation format is suggested for each data set. These findings have important implications for developing a data citation format, encouraging researchers to properly curate their research data, and evaluating the bibliometric impact of individuals and institutions.

The imagework method in health and social science research.

PubMed

Edgar, I R

1999-03-01

Existing alongside the traditional forms of qualitative social science research, there is a set of potential research methods that derive from experiential groupwork and the humanistic human potential movement and are only slightly used by researchers. Social science research has barely begun to use these powerful strategies that were developed originally for personal and group change but that are potentially applicable to the research domain. This article will locate these methods within the qualitative research domain and propose a novel view of their value. The study of the actual and potential use of one of these methods, imagework, will be the particular focus of this article. References to the use of artwork, sculpting, psychodrama, gestalt, and dreamwork will also be made. The hypothesis underpinning the author's approach is that experiential research methods such as imagework can elicit implicit knowledge and self-identifies of respondents in a way that other methods cannot.

Using Inquiry-Based Instruction to Teach Research Methods to 4th-Grade Students in an Urban Setting

ERIC Educational Resources Information Center

Hamm, Ellen M.; Cullen, Rebecca; Ciaravino, Melissa

2013-01-01

When a college professor who teaches research methods to graduate education students was approached by a local public urban elementary school to help them teach research skills to 4th-graders, it was thought that the process would be simple--take what we did at the college level and differentiate it for the childhood classroom. This article will…

Feature Selection and Classifier Development for Radio Frequency Device Identification

DTIC Science & Technology

2015-12-01

adds important background knowledge for this research . 41 Four leading RF-based device identification methods have been proposed: Radio...appropriate level of dimensionality. Both qualitative and quantitative DRA dimensionality assessment methods are possible. Prior RF-DNA DRA research , e.g...Employing experimental designs to find optimal algorithm settings has been seen in hyperspectral anomaly detection research , c.f. [513–520], but not

Small Private Online Research: A Proposal for A Numerical Methods Course Based on Technology Use and Blended Learning

ERIC Educational Resources Information Center

Cepeda, Francisco Javier Delgado

2017-01-01

This work presents a proposed model in blended learning for a numerical methods course evolved from traditional teaching into a research lab in scientific visualization. The blended learning approach sets a differentiated and flexible scheme based on a mobile setup and face to face sessions centered on a net of research challenges. Model is…

Knowledge mining from clinical datasets using rough sets and backpropagation neural network.

PubMed

Nahato, Kindie Biredagn; Harichandran, Khanna Nehemiah; Arputharaj, Kannan

2015-01-01

The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN) is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI) machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets.

Preparing a prescription drug monitoring program data set for research purposes.

PubMed

O'Kane, Nicole; Hallvik, Sara E; Marino, Miguel; Van Otterloo, Joshua; Hildebran, Christi; Leichtling, Gillian; Deyo, Richard A

2016-09-01

To develop a complete and consistent prescription drug monitoring program (PDMP) data set for use by drug safety researchers in evaluating patterns of high-risk use and potential abuse of scheduled drugs. Using publically available data references from the US Food and Drug Administration and the Centers for Disease Control and Prevention, we developed a strategic methodology to assign drug categories based on pharmaceutical class for the majority of prescriptions in the PDMP data set. We augmented data elements required to calculate morphine milligram equivalents and assigned duration of action (short-acting or long acting) properties for a majority of opioids in the data set. About 10% of prescriptions in the PDMP data set did not have a vendor-assigned drug category, and 20% of opioid prescriptions were missing data needed to calculate risk metrics. Using inclusive methods, 19 133 167 (>99.9%) of prescriptions in the PDMP data set were assigned a drug category. For the opioid category, augmenting data elements resulted in 10 760 669 (99.8%) having required values to calculate morphine milligram equivalents and evaluate duration of action properties. Drug safety researchers who require a complete and consistent PDMP data set can use the methods described here to ensure that prescriptions of interest are assigned consistent drug categories and complete opioid risk variable values. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

A fuzzy linguistic model for the prediction of carpal tunnel syndrome risks in an occupational environment.

PubMed

Bell, P M; Crumpton, L

1997-08-01

This research presents the development and evaluation of a fuzzy linguistic model designated to predict the risk of carpal tunnel syndrome (CTS) in an occupational setting. CTS has become one of the largest problems facing ergonomists and the medical community because it is developing in epidemic proportions within the occupational environment. In addition, practitioners are interested in identifying accurate methods for evaluating the risk of CTS in an occupational setting. It is hypothesized that many factors impact an individual's likelihood of developing CTS and the eventual development of CTS. This disparity in the occurrence of CTS for workers with similar backgrounds and work activities has confused researchers and has been a stumbling block in the development of a model for widespread use in evaluating the development of CTS. Thus this research is an attempt to develop a method that can be used to predict the likelihood of CTS risk in a variety of environments. The intent is that this model will be applied eventually in an occupational setting, thus model development was focused on a method that provided a usable interface and the desired system inputs can also be obtained without the benefit of a medical practitioner. The methodology involves knowledge acquisition to identify and categorize a holistic set of risk factors that include task-related, personal, and organizational categories. The determination of relative factor importance was accomplished using analytic hierarchy processing (AHP) analysis. Finally a mathematical representation of the CTS risk was accomplished by utilizing fuzzy set theory in order to quantify linguistic input parameters. An evaluation of the model including determination of sensitivity and specificity is conducted and the results of the model indicate that the results are fairly accurate and this method has the potential for widespread use. A significant aspect of this research is the comparison of this technique to other methods for assessing presence of CTS. The results of this evaluation technique are compared with more traditional methods for assessing the presence of CTS.

Freely available compound data sets and software tools for chemoinformatics and computational medicinal chemistry applications

PubMed Central

Bajorath, Jurgen

2012-01-01

We have generated a number of  compound data sets and programs for different types of applications in pharmaceutical research. These data sets and programs were originally designed for our research projects and are made publicly available. Without consulting original literature sources, it is difficult to understand specific features of data sets and software tools, basic ideas underlying their design, and applicability domains. Currently, 30 different entries are available for download from our website. In this data article, we provide an overview of the data and tools we make available and designate the areas of research for which they should be useful. For selected data sets and methods/programs, detailed descriptions are given. This article should help interested readers to select data and tools for specific computational investigations. PMID:24358818

Examining Construct Congruence for Psychometric Tests: A Note on an Extension to Binary Items and Nesting Effects.

PubMed

Raykov, Tenko; Marcoulides, George A; Dimitrov, Dimiter M; Li, Tatyana

2018-02-01

This article extends the procedure outlined in the article by Raykov, Marcoulides, and Tong for testing congruence of latent constructs to the setting of binary items and clustering effects. In this widely used setting in contemporary educational and psychological research, the method can be used to examine if two or more homogeneous multicomponent instruments with distinct components measure the same construct. The approach is useful in scale construction and development research as well as in construct validation investigations. The discussed method is illustrated with data from a scholastic aptitude assessment study.

The Use of Linear Instrumental Variables Methods in Health Services Research and Health Economics: A Cautionary Note

PubMed Central

Terza, Joseph V; Bradford, W David; Dismuke, Clara E

2008-01-01

Objective To investigate potential bias in the use of the conventional linear instrumental variables (IV) method for the estimation of causal effects in inherently nonlinear regression settings. Data Sources Smoking Supplement to the 1979 National Health Interview Survey, National Longitudinal Alcohol Epidemiologic Survey, and simulated data. Study Design Potential bias from the use of the linear IV method in nonlinear models is assessed via simulation studies and real world data analyses in two commonly encountered regression setting: (1) models with a nonnegative outcome (e.g., a count) and a continuous endogenous regressor; and (2) models with a binary outcome and a binary endogenous regressor. Principle Findings The simulation analyses show that substantial bias in the estimation of causal effects can result from applying the conventional IV method in inherently nonlinear regression settings. Moreover, the bias is not attenuated as the sample size increases. This point is further illustrated in the survey data analyses in which IV-based estimates of the relevant causal effects diverge substantially from those obtained with appropriate nonlinear estimation methods. Conclusions We offer this research as a cautionary note to those who would opt for the use of linear specifications in inherently nonlinear settings involving endogeneity. PMID:18546544

Soft computing in design and manufacturing of advanced materials

NASA Technical Reports Server (NTRS)

Cios, Krzysztof J.; Baaklini, George Y; Vary, Alex

1993-01-01

The potential of fuzzy sets and neural networks, often referred to as soft computing, for aiding in all aspects of manufacturing of advanced materials like ceramics is addressed. In design and manufacturing of advanced materials, it is desirable to find which of the many processing variables contribute most to the desired properties of the material. There is also interest in real time quality control of parameters that govern material properties during processing stages. The concepts of fuzzy sets and neural networks are briefly introduced and it is shown how they can be used in the design and manufacturing processes. These two computational methods are alternatives to other methods such as the Taguchi method. The two methods are demonstrated by using data collected at NASA Lewis Research Center. Future research directions are also discussed.

Of Mice and Meth: A New Media-Based Neuropsychopharmacology Lab to Teach Research Methods

ERIC Educational Resources Information Center

Hatch, Daniel L.; Zschau, Tony; Hays, Arthur; McAllister, Kristin; Harrison, Michelle; Cate, Kelly L.; Shanks, Ryan A.; Lloyd, Steven A.

2014-01-01

This article describes an innovative neuropsychopharmacology laboratory that can be incorporated into any research methods class. The lab consists of a set of interconnected modules centered on observations of methamphetamine-induced behavioral changes in mice and is designed to provide students with an opportunity to acquire basic skills…

'CHEATS': a generic information communication technology (ICT) evaluation framework.

PubMed

Shaw, Nicola T

2002-05-01

This paper describes a generic framework for the evaluation of information communication technologies. This framework, CHEATS, utilises both qualitative and quantitative research methods and has proved appropriate in multiple clinical settings including telepsychiatry, teledermatology and teleeducation. The paper demonstrates how a multidisciplinary approach is essential when evaluating new and emerging technologies, particularly when such systems are implemented in real service as opposed to a research setting.

Cluster detection methods applied to the Upper Cape Cod cancer data.

PubMed

Ozonoff, Al; Webster, Thomas; Vieira, Veronica; Weinberg, Janice; Ozonoff, David; Aschengrau, Ann

2005-09-15

A variety of statistical methods have been suggested to assess the degree and/or the location of spatial clustering of disease cases. However, there is relatively little in the literature devoted to comparison and critique of different methods. Most of the available comparative studies rely on simulated data rather than real data sets. We have chosen three methods currently used for examining spatial disease patterns: the M-statistic of Bonetti and Pagano; the Generalized Additive Model (GAM) method as applied by Webster; and Kulldorff's spatial scan statistic. We apply these statistics to analyze breast cancer data from the Upper Cape Cancer Incidence Study using three different latency assumptions. The three different latency assumptions produced three different spatial patterns of cases and controls. For 20 year latency, all three methods generally concur. However, for 15 year latency and no latency assumptions, the methods produce different results when testing for global clustering. The comparative analyses of real data sets by different statistical methods provides insight into directions for further research. We suggest a research program designed around examining real data sets to guide focused investigation of relevant features using simulated data, for the purpose of understanding how to interpret statistical methods applied to epidemiological data with a spatial component.

David W. Templeton | NREL

Science.gov Websites

and algal biomass analysis methods and applications of these methods to different processes. Templeton , internally funded research project to develop microalgal compositional analysis methods that included setting methods Closing mass and component balances around pretreatment, saccharification, and fermentation unit

Hybrid Implementation Model of Community-Partnered Early Intervention for Toddlers with Autism: A Randomized Trial

ERIC Educational Resources Information Center

Shire, Stephanie Y.; Chang, Ya-Chih; Shih, Wendy; Bracaglia, Suzanne; Kodjoe, Maria; Kasari, Connie

2017-01-01

Background: Interventions found to be effective in research settings are often not as effective when implemented in community settings. Considering children with autism, studies have rarely examined the efficacy of laboratory-tested interventions on child outcomes in community settings using randomized controlled designs. Methods: One hundred and…

OARSI Clinical Trials Recommendations: Design and conduct of clinical trials of lifestyle diet and exercise interventions for osteoarthritis.

PubMed

Messier, S P; Callahan, L F; Golightly, Y M; Keefe, F J

2015-05-01

The objective was to develop a set of "best practices" for use as a primer for those interested in entering the clinical trials field for lifestyle diet and/or exercise interventions in osteoarthritis (OA), and as a set of recommendations for experienced clinical trials investigators. A subcommittee of the non-pharmacologic therapies committee of the OARSI Clinical Trials Working Group was selected by the Steering Committee to develop a set of recommended principles for non-pharmacologic diet/exercise OA randomized clinical trials. Topics were identified for inclusion by co-authors and reviewed by the subcommittee. Resources included authors' expert opinions, traditional search methods including MEDLINE (via PubMed), and previously published guidelines. Suggested steps and considerations for study methods (e.g., recruitment and enrollment of participants, study design, intervention and assessment methods) were recommended. The recommendations set forth in this paper provide a guide from which a research group can design a lifestyle diet/exercise randomized clinical trial in patients with OA. Copyright © 2015 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

On-going collaborative priority-setting for research activity: a method of capacity building to reduce the research-practice translational gap.

PubMed

Cooke, Jo; Ariss, Steven; Smith, Christine; Read, Jennifer

2015-05-07

International policy suggests that collaborative priority setting (CPS) between researchers and end users of research should shape the research agenda, and can increase capacity to address the research-practice translational gap. There is limited research evidence to guide how this should be done to meet the needs of dynamic healthcare systems. One-off priority setting events and time-lag between decision and action prove problematic. This study illustrates the use of CPS in a UK research collaboration called Collaboration and Leadership in Applied Health Research and Care (CLAHRC). Data were collected from a north of England CLAHRC through semi-structured interviews with 28 interviewees and a workshop of key stakeholders (n = 21) including academics, NHS clinicians, and managers. Documentary analysis of internal reports and CLAHRC annual reports for the first two and half years was also undertaken. These data were thematically coded. Methods of CPS linked to the developmental phase of the CLAHRC. Early methods included pre-existing historical partnerships with on-going dialogue. Later, new platforms for on-going discussions were formed. Consensus techniques with staged project development were also used. All methods demonstrated actual or potential change in practice and services. Impact was enabled through the flexibility of research and implementation work streams; 'matched' funding arrangements to support alignment of priorities in partner organisations; the size of the collaboration offering a resource to meet project needs; and the length of the programme providing stability and long term relationships. Difficulties included tensions between being responsive to priorities and the possibility of 'drift' within project work, between academics and practice, and between service providers and commissioners in the health services. Providing protected 'matched' time proved difficult for some NHS managers, which put increasing work pressure on them. CPS is more time consuming than traditional approaches to project development. CPS can produce needs-led projects that are bedded in services using a variety of methods. Contributing factors for effective CPS include flexibility in use and type of available resources, flexible work plans, and responsive leadership. The CLAHRC model provides a translational infrastructure that enables CPS that can impact on healthcare systems.

Verification of Bayesian Clustering in Travel Behaviour Research – First Step to Macroanalysis of Travel Behaviour

NASA Astrophysics Data System (ADS)

Satra, P.; Carsky, J.

2018-04-01

Our research is looking at the travel behaviour from a macroscopic view, taking one municipality as a basic unit. The travel behaviour of one municipality as a whole is becoming one piece of a data in the research of travel behaviour of a larger area, perhaps a country. A data pre-processing is used to cluster the municipalities in groups, which show similarities in their travel behaviour. Such groups can be then researched for reasons of their prevailing pattern of travel behaviour without any distortion caused by municipalities with a different pattern. This paper deals with actual settings of the clustering process, which is based on Bayesian statistics, particularly the mixture model. An optimization of the settings parameters based on correlation of pointer model parameters and relative number of data in clusters is helpful, however not fully reliable method. Thus, method for graphic representation of clusters needs to be developed in order to check their quality. A training of the setting parameters in 2D has proven to be a beneficial method, because it allows visual control of the produced clusters. The clustering better be applied on separate groups of municipalities, where competition of only identical transport modes can be found.

shinyGISPA: A web application for characterizing phenotype by gene sets using multiple omics data combinations.

PubMed

Dwivedi, Bhakti; Kowalski, Jeanne

2018-01-01

While many methods exist for integrating multi-omics data or defining gene sets, there is no one single tool that defines gene sets based on merging of multiple omics data sets. We present shinyGISPA, an open-source application with a user-friendly web-based interface to define genes according to their similarity in several molecular changes that are driving a disease phenotype. This tool was developed to help facilitate the usability of a previously published method, Gene Integrated Set Profile Analysis (GISPA), among researchers with limited computer-programming skills. The GISPA method allows the identification of multiple gene sets that may play a role in the characterization, clinical application, or functional relevance of a disease phenotype. The tool provides an automated workflow that is highly scalable and adaptable to applications that go beyond genomic data merging analysis. It is available at http://shinygispa.winship.emory.edu/shinyGISPA/.

shinyGISPA: A web application for characterizing phenotype by gene sets using multiple omics data combinations

PubMed Central

Dwivedi, Bhakti

2018-01-01

While many methods exist for integrating multi-omics data or defining gene sets, there is no one single tool that defines gene sets based on merging of multiple omics data sets. We present shinyGISPA, an open-source application with a user-friendly web-based interface to define genes according to their similarity in several molecular changes that are driving a disease phenotype. This tool was developed to help facilitate the usability of a previously published method, Gene Integrated Set Profile Analysis (GISPA), among researchers with limited computer-programming skills. The GISPA method allows the identification of multiple gene sets that may play a role in the characterization, clinical application, or functional relevance of a disease phenotype. The tool provides an automated workflow that is highly scalable and adaptable to applications that go beyond genomic data merging analysis. It is available at http://shinygispa.winship.emory.edu/shinyGISPA/. PMID:29415010

Qualitative methods to ensure acceptability of behavioral and social interventions to the target population

PubMed Central

Ayala, Guadalupe X.; Elder, John P.

2013-01-01

This paper introduces qualitative methods for assessing the acceptability of an intervention. Acceptability refers to determining how well an intervention will be received by the target population and the extent to which the new intervention or its components might meet the needs of the target population and organizational setting. In this paper, we focus on two common qualitative methods for conducting acceptability research and their advantages and disadvantages: focus groups and interviews. We provide examples from our own research and other studies to demonstrate the use of these methods for conducting acceptability research and how one might adapt this approach for oral health research. Finally, we present emerging methods for conducting acceptability research, including the use of community-based participatory research, as well as the utility of conducting acceptability research for assessing the appropriateness of measures in intervention research. PMID:21656958

Introduction and Effectiveness of New Methods of Instruction Using Literature in a Japanese High School Setting

ERIC Educational Resources Information Center

Richings, Vicky Ann; Nishimuro, Masateru

2017-01-01

This paper reports on findings from a classroom study on the introduction and effectiveness of new methods of instruction using English literature in a Japanese high school setting. It is based on data compiled during a two-year research project. In this paper, we will detail the investigation and findings from an analysis of student questionnaire…

Pervasive healthcare as a scientific discipline.

PubMed

Bardram, J E

2008-01-01

The OECD countries are facing a set of core challenges; an increasing elderly population; increasing number of chronic and lifestyle-related diseases; expanding scope of what medicine can do; and increasing lack of medical professionals. Pervasive healthcare asks how pervasive computing technology can be designed to meet these challenges. The objective of this paper is to discuss 'pervasive healthcare' as a research field and tries to establish how novel and distinct it is, compared to related work within biomedical engineering, medical informatics, and ubiquitous computing. The paper presents the research questions, approach, technologies, and methods of pervasive healthcare and discusses these in comparison to those of other related scientific disciplines. A set of central research themes are presented; monitoring and body sensor networks; pervasive assistive technologies; pervasive computing for hospitals; and preventive and persuasive technologies. Two projects illustrate the kind of research being done in pervasive healthcare. The first project is targeted at home-based monitoring of hypertension; the second project is designing context-aware technologies for hospitals. Both projects approach the healthcare challenges in a new way, apply a new type of research method, and come up with new kinds of technological solutions. 'Clinical proof-of-concept' is recommended as a new method for pervasive healthcare research; the method helps design and test pervasive healthcare technologies, and in ascertaining their clinical potential before large-scale clinical tests are needed. The paper concludes that pervasive healthcare as a research field and agenda is novel; it is addressing new emerging research questions, represents a novel approach, designs new types of technologies, and applies a new kind of research method.

A Profiling Float System for the North Arabian Sea

DTIC Science & Technology

2017-11-29

purpose of this Defense University Research Instrumentation Program grant was to purchase a set of profiling floats to form an upper ocean observing ...purchase a set of profiling floats to form an upper ocean observing system for the Northern Arabian Sea Circulation - autonomous research (NASCar...resolution numerical simulations. To achieve these goals the DRI will utilize new observational methods that do not rely on a traditional ship-based

Interdisciplinary research on patient-provider communication: a cross-method comparison.

PubMed

Chou, Wen-Ying Sylvia; Han, Paul; Pilsner, Alison; Coa, Kisha; Greenberg, Larrie; Blatt, Benjamin

2011-01-01

Patient-provider communication, a key aspect of healthcare delivery, has been assessed through multiple methods for purposes of research, education, and quality control. Common techniques include satisfaction ratings and quantitatively- and qualitatively-oriented direct observations. Identifying the strengths and weaknesses of different approaches is critically important in determining the appropriate assessment method for a specific research or practical goal. Analyzing ten videotaped simulated encounters between medical students and Standardized Patients (SPs), this study compared three existing assessment methods through the same data set. Methods included: (1) dichotomized SP ratings on students' communication skills; (2) Roter Interaction Analysis System (RIAS) analysis; and (3) inductive discourse analysis informed by sociolinguistic theories. The large dichotomous contrast between good and poor ratings in (1) was not evidenced in any of the other methods. Following a discussion of strengths and weaknesses of each approach, we pilot-tested a combined assessment done by coders blinded to results of (1)-(3). This type of integrative approach has the potential of adding a quantifiable dimension to qualitative, discourse-based observations. Subjecting the same data set to separate analytic methods provides an excellent opportunity for methodological comparisons with the goal of informing future assessment of clinical encounters.

Common method biases in behavioral research: a critical review of the literature and recommended remedies.

PubMed

Podsakoff, Philip M; MacKenzie, Scott B; Lee, Jeong-Yeon; Podsakoff, Nathan P

2003-10-01

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System

PubMed Central

Xu, Fang; Wallace, Robyn C.; Garvin, William; Greenlund, Kurt J.; Bartoli, William; Ford, Derek; Eke, Paul; Town, G. Machell

2016-01-01

Public health researchers have used a class of statistical methods to calculate prevalence estimates for small geographic areas with few direct observations. Many researchers have used Behavioral Risk Factor Surveillance System (BRFSS) data as a basis for their models. The aims of this study were to 1) describe a new BRFSS small area estimation (SAE) method and 2) investigate the internal and external validity of the BRFSS SAEs it produced. The BRFSS SAE method uses 4 data sets (the BRFSS, the American Community Survey Public Use Microdata Sample, Nielsen Claritas population totals, and the Missouri Census Geographic Equivalency File) to build a single weighted data set. Our findings indicate that internal and external validity tests were successful across many estimates. The BRFSS SAE method is one of several methods that can be used to produce reliable prevalence estimates in small geographic areas. PMID:27418213

Data collection challenges in community settings: Insights from two field studies of patients with chronic disease

PubMed Central

Holden, Richard J.; McDougald Scott, Amanda M.; Hoonakker, Peter L.T.; Hundt, Ann S.; Carayon, Pascale

2014-01-01

Purpose Collecting information about health and disease directly from patients can be fruitfully accomplished using contextual approaches, ones that combine more and less structured methods in home and community settings. This paper's purpose is to describe and illustrate a framework of the challenges of contextual data collection. Methods A framework is presented based on prior work in community-based participatory research and organizational science, comprised of ten types of challenges across four broader categories. Illustrations of challenges and suggestions for addressing them are drawn from two mixed-method, contextual studies of patients with chronic disease in two regions of the US. Results The first major category of challenges was concerned with the researcher-participant partnership, for example, the initial lack of mutual trust and understanding between researchers, patients, and family members. The second category concerned patient characteristics such as cognitive limitations and a busy personal schedule that created barriers to successful data collection. The third concerned research logistics and procedures such as recruitment, travel distances, and compensation. The fourth concerned scientific quality and interpretation, including issues of validity, reliability, and combining data from multiple sources. The two illustrative studies faced both common and diverse research challenges and used many different strategies to address them. Conclusion Collecting less structured data from patients and others in the community is potentially very productive but requires the anticipation, avoidance, or negotiation of various challenges. Future work is necessary to better understand these challenges across different methods and settings, as well as to test and identify strategies to address them. PMID:25154464

Effect of Child Centred Methods on Teaching and Learning of Science Activities in Pre-Schools in Kenya

ERIC Educational Resources Information Center

Andiema, Nelly C.

2016-01-01

Despite many research studies showing the effectiveness of teacher application of child-centered learning in different educational settings, few studies have focused on teaching and learning activities in Pre-Schools. This research investigates the effect of child centered methods on teaching and learning of science activities in preschools in…

Formative Research on the Simplifying Conditions Method (SCM) for Task Analysis and Sequencing.

ERIC Educational Resources Information Center

Kim, YoungHwan; Reigluth, Charles M.

The Simplifying Conditions Method (SCM) is a set of guidelines for task analysis and sequencing of instructional content under the Elaboration Theory (ET). This article introduces the fundamentals of SCM and presents the findings from a formative research study on SCM. It was conducted in two distinct phases: design and instruction. In the first…

Getting Medieval on American History Research: A Method to Help Students Think Historically

ERIC Educational Resources Information Center

Burkholder, Peter

2010-01-01

In an attempt to increase college history majors' ability to analyze primary sources, the author set up a unique research project designed to tap into his students' personal interests, and which would utilize a specific method requiring them to grapple with primary source materials in an unfamiliar, though hopefully more profitable fashion. The…

Mixed-methods research in pharmacy practice: basics and beyond (part 1).

PubMed

Hadi, Muhammad Abdul; Alldred, David Phillip; Closs, S José; Briggs, Michelle

2013-10-01

This is the first of two papers which explore the use of mixed-methods research in pharmacy practice. In an era of evidence-based medicine and policy, high-quality research evidence is essential for the development of effective pharmacist-led services. Over the past decade, the use of mixed-methods research has become increasingly common in healthcare, although to date its use has been relatively limited in pharmacy practice research. In this article, the basic concepts of mixed-methods research including its definition, typologies and advantages in relation to pharmacy practice research are discussed. Mixed-methods research brings together qualitative and quantitative methodologies within a single study to answer or understand a research problem. There are a number of mixed-methods designs available, but the selection of an appropriate design must always be dictated by the research question. Importantly, mixed-methods research should not be seen as a 'tool' to collect qualitative and quantitative data, rather there should be some degree of 'integration' between the two data sets. If conducted appropriately, mixed-methods research has the potential to generate quality research evidence by combining strengths and overcoming the respective limitations of qualitative and quantitative methodologies. © 2012 Royal Pharmaceutical Society.

Integration of Educational Methods and Physical Settings: Design Guidelines for High/Scope Methodology in Pre-Schools

ERIC Educational Resources Information Center

Izadpanah, Shirin; Günçe, Kaðan

2014-01-01

Quality design and appropriate space organization in preschool settings can support preschool children's educational activities. Although the relationship between the well-being and development of children and physical settings has been emphasized by many early childhood researchers, there is still a need for theoretical design guidelines that are…

The prefabricated building risk decision research of DM technology on the basis of Rough Set

NASA Astrophysics Data System (ADS)

Guo, Z. L.; Zhang, W. B.; Ma, L. H.

2017-08-01

With the resources crises and more serious pollution, the green building has been strongly advocated by most countries and become a new building style in the construction field. Compared with traditional building, the prefabricated building has its own irreplaceable advantages but is influenced by many uncertainties. So far, a majority of scholars have been studying based on qualitative researches from all of the word. This paper profoundly expounds its significance about the prefabricated building. On the premise of the existing research methods, combined with rough set theory, this paper redefines the factors which affect the prefabricated building risk. Moreover, it quantifies risk factors and establish an expert knowledge base through assessing. And then reduced risk factors about the redundant attributes and attribute values, finally form the simplest decision rule. This simplest decision rule, which is based on the DM technology of rough set theory, provides prefabricated building with a controllable new decision-making method.

The youth sports club as a health-promoting setting: An integrative review of research

PubMed Central

Quennerstedt, Mikael; Eriksson, Charli

2013-01-01

Aims: The aims of this review is to compile and identify key issues in international research about youth sports clubs as health-promoting settings, and then discuss the results of the review in terms of a framework for the youth sports club as a health-promoting setting. Methods: The framework guiding this review of research is the health-promoting settings approach introduced by the World Health Organization (WHO). The method used is the integrated review. Inclusion criteria were, first, that the studies concerned sports clubs for young people, not professional clubs; second, that it be a question of voluntary participation in some sort of ongoing organized athletics outside of the regular school curricula; third, that the studies consider issues about youth sports clubs in terms of health-promoting settings as described by WHO. The final sample for the review consists of 44 publications. Results: The review shows that youth sports clubs have plentiful opportunities to be or become health-promoting settings; however this is not something that happens automatically. To do so, the club needs to include an emphasis on certain important elements in its strategies and daily practices. The youth sports club needs to be a supportive and healthy environment with activities designed for and adapted to the specific age-group or stage of development of the youth. Conclusions: To become a health-promoting setting, a youth sports club needs to take a comprehensive approach to its activities, aims, and purposes. PMID:23349167

Coloc-stats: a unified web interface to perform colocalization analysis of genomic features.

PubMed

Simovski, Boris; Kanduri, Chakravarthi; Gundersen, Sveinung; Titov, Dmytro; Domanska, Diana; Bock, Christoph; Bossini-Castillo, Lara; Chikina, Maria; Favorov, Alexander; Layer, Ryan M; Mironov, Andrey A; Quinlan, Aaron R; Sheffield, Nathan C; Trynka, Gosia; Sandve, Geir K

2018-06-05

Functional genomics assays produce sets of genomic regions as one of their main outputs. To biologically interpret such region-sets, researchers often use colocalization analysis, where the statistical significance of colocalization (overlap, spatial proximity) between two or more region-sets is tested. Existing colocalization analysis tools vary in the statistical methodology and analysis approaches, thus potentially providing different conclusions for the same research question. As the findings of colocalization analysis are often the basis for follow-up experiments, it is helpful to use several tools in parallel and to compare the results. We developed the Coloc-stats web service to facilitate such analyses. Coloc-stats provides a unified interface to perform colocalization analysis across various analytical methods and method-specific options (e.g. colocalization measures, resolution, null models). Coloc-stats helps the user to find a method that supports their experimental requirements and allows for a straightforward comparison across methods. Coloc-stats is implemented as a web server with a graphical user interface that assists users with configuring their colocalization analyses. Coloc-stats is freely available at https://hyperbrowser.uio.no/coloc-stats/.

Statistical Methods for Generalized Linear Models with Covariates Subject to Detection Limits.

PubMed

Bernhardt, Paul W; Wang, Huixia J; Zhang, Daowen

2015-05-01

Censored observations are a common occurrence in biomedical data sets. Although a large amount of research has been devoted to estimation and inference for data with censored responses, very little research has focused on proper statistical procedures when predictors are censored. In this paper, we consider statistical methods for dealing with multiple predictors subject to detection limits within the context of generalized linear models. We investigate and adapt several conventional methods and develop a new multiple imputation approach for analyzing data sets with predictors censored due to detection limits. We establish the consistency and asymptotic normality of the proposed multiple imputation estimator and suggest a computationally simple and consistent variance estimator. We also demonstrate that the conditional mean imputation method often leads to inconsistent estimates in generalized linear models, while several other methods are either computationally intensive or lead to parameter estimates that are biased or more variable compared to the proposed multiple imputation estimator. In an extensive simulation study, we assess the bias and variability of different approaches within the context of a logistic regression model and compare variance estimation methods for the proposed multiple imputation estimator. Lastly, we apply several methods to analyze the data set from a recently-conducted GenIMS study.

The National Occupational Research Agenda: a model of broad stakeholder input into priority setting.

PubMed Central

Rosenstock, L; Olenec, C; Wagner, G R

1998-01-01

OBJECTIVES: No single organization has the resources necessary to conduct occupational safety and health research to adequately serve the needs of workers in the United States. The National Institute for Occupational Safety and Health (NIOSH) undertook the task of setting research priorities in response to a broadly perceived need to systematically address those topics most pressing and most likely to yield gains to workers and to the nation. METHODS: NIOSH and its public and private partners used a consensus-building process to set priorities for the next decade for occupational safety and health research--the National Occupational Research Agenda. RESULTS: The process resulted in the identification of 21 research priorities grouped into 3 categories: disease and injury, work environment and workforce, and research tools and approaches. CONCLUSIONS: Although the field of occupational safety and health is often contentious and adversarial, these research priorities reflect a remarkable degree of concurrence among a broad range of stakeholders who provided input into a clearly defined and open process. PMID:9518963

Patient and public engagement in priority setting: A systematic rapid review of the literature.

PubMed

Manafò, Elizabeth; Petermann, Lisa; Vandall-Walker, Virginia; Mason-Lai, Ping

2018-01-01

Current research suggests that while patients are becoming more engaged across the health delivery spectrum, this involvement occurs most often at the pre-preparation stage to identify 'high-level' priorities in health ecosystem priority setting, and at the preparation phase for health research. The purpose of this systematic rapid review of the literature is to describe the evidence that does exist in relation to patient and public engagement priority setting in both health ecosystem and health research. HealthStar (via OVID); CINAHL; Proquest Databases; and Scholar's Portal. i) published in English; ii) published within the timeframe of 2007-Current (10 years) unless the report/article was formative in synthesizing key considerations of patient engagement in health ecosystem and health research priority setting; iii) conducted in Canada, the US, Europe, UK, Australia/New Zealand, or Scandinavian countries. i) Is the research valid, sound, and applicable?; ii) what outcomes can we potentially expect if we implement the findings from this research?; iii) will the target population (i.e., health researchers and practitioners) be able to use this research?. A summary of findings from each of the respective processes was synthesized to highlight key information that would support decision-making for researchers when determining the best priority setting process to apply for their specific patient-oriented research. Seventy articles from the UK, US, Canada, Netherlands and Australia were selected for review. Results were organized into two tiers of public and patient engagement in prioritization: Tier 1-Deliberative and Tier 2-Consultative. Highly structured patient and public engagement planning activities include the James Lind Alliance Priority Setting Partnerships (UK), Dialogue Method (Netherlands), Global Evidence Mapping (Australia), and the Deep Inclusion Method/CHoosing All Together (US). The critical study limitations include challenges in comprehensively identifying the patient engagement literature for review, bias in article selection due to the identified scope, missed information due to a more limited use of exhaustive search strategies (e.g., in-depth hand searching), and the heterogeneity of reported study findings. The four public and patient engagement priority setting processes identified were successful in setting priorities that are inclusive and objectively based, specific to the priorities of stakeholders engaged in the process. The processes were robust, strategic and aimed to promote equity in patient voices. Key limitations identified a lack of evaluation data on the success and extent in which patients were engaged. Issues pertaining to feasibility of stakeholder engagement, coordination, communication and limited resources were also considered.

Down-weighting overlapping genes improves gene set analysis

PubMed Central

2012-01-01

Background The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equally, regardless how specific they are to a given gene set. Results In this work we propose a new gene set analysis method that computes a gene set score as the mean of absolute values of weighted moderated gene t-scores. The gene weights are designed to emphasize the genes appearing in few gene sets, versus genes that appear in many gene sets. We demonstrate the usefulness of the method when analyzing gene sets that correspond to the KEGG pathways, and hence we called our method Pathway Analysis with Down-weighting of Overlapping Genes (PADOG). Unlike most gene set analysis methods which are validated through the analysis of 2-3 data sets followed by a human interpretation of the results, the validation employed here uses 24 different data sets and a completely objective assessment scheme that makes minimal assumptions and eliminates the need for possibly biased human assessments of the analysis results. Conclusions PADOG significantly improves gene set ranking and boosts sensitivity of analysis using information already available in the gene expression profiles and the collection of gene sets to be analyzed. The advantages of PADOG over other existing approaches are shown to be stable to changes in the database of gene sets to be analyzed. PADOG was implemented as an R package available at: http://bioinformaticsprb.med.wayne.edu/PADOG/or http://www.bioconductor.org. PMID:22713124

Recommendations for evaluation of computational methods

NASA Astrophysics Data System (ADS)

Jain, Ajay N.; Nicholls, Anthony

2008-03-01

The field of computational chemistry, particularly as applied to drug design, has become increasingly important in terms of the practical application of predictive modeling to pharmaceutical research and development. Tools for exploiting protein structures or sets of ligands known to bind particular targets can be used for binding-mode prediction, virtual screening, and prediction of activity. A serious weakness within the field is a lack of standards with respect to quantitative evaluation of methods, data set preparation, and data set sharing. Our goal should be to report new methods or comparative evaluations of methods in a manner that supports decision making for practical applications. Here we propose a modest beginning, with recommendations for requirements on statistical reporting, requirements for data sharing, and best practices for benchmark preparation and usage.

Enhancing Undergraduate Teaching and Research with a "Drosophila" Virginizing System

ERIC Educational Resources Information Center

Venema, Dennis R.

2006-01-01

Laboratory exercises using "Drosophila" crosses are an effective pedagogical method to complement traditional lecture and textbook presentations of genetics. Undergraduate thesis research is another common setting for using "Drosophila." A significant barrier to using "Drosophila" for undergraduate teaching or research is the time and skill…

Coding and Commonality Analysis: Non-ANOVA Methods for Analyzing Data from Experiments.

ERIC Educational Resources Information Center

Thompson, Bruce

The advantages and disadvantages of three analytic methods used to analyze experimental data in educational research are discussed. The same hypothetical data set is used with all methods for a direct comparison. The Analysis of Variance (ANOVA) method and its several analogs are collectively labeled OVA methods and are evaluated. Regression…

Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10

ERIC Educational Resources Information Center

Hao, Jiangang; Smith, Lawrence; Mislevy, Robert; von Davier, Alina; Bauer, Malcolm

2016-01-01

Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…

A method of hidden Markov model optimization for use with geophysical data sets

NASA Technical Reports Server (NTRS)

Granat, R. A.

2003-01-01

Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements: it should be consistent, require minimal parameter tuning, and produce scientifically meaningful results in reasonable time. We introduce a hidden Markov model (HMM)-based method for analysis of geophysical data sets that attempts to address these issues.

The Function Biomedical Informatics Research Network Data Repository.

PubMed

Keator, David B; van Erp, Theo G M; Turner, Jessica A; Glover, Gary H; Mueller, Bryon A; Liu, Thomas T; Voyvodic, James T; Rasmussen, Jerod; Calhoun, Vince D; Lee, Hyo Jong; Toga, Arthur W; McEwen, Sarah; Ford, Judith M; Mathalon, Daniel H; Diaz, Michele; O'Leary, Daniel S; Jeremy Bockholt, H; Gadde, Syam; Preda, Adrian; Wible, Cynthia G; Stern, Hal S; Belger, Aysenil; McCarthy, Gregory; Ozyurt, Burak; Potkin, Steven G

2016-01-01

The Function Biomedical Informatics Research Network (FBIRN) developed methods and tools for conducting multi-scanner functional magnetic resonance imaging (fMRI) studies. Method and tool development were based on two major goals: 1) to assess the major sources of variation in fMRI studies conducted across scanners, including instrumentation, acquisition protocols, challenge tasks, and analysis methods, and 2) to provide a distributed network infrastructure and an associated federated database to host and query large, multi-site, fMRI and clinical data sets. In the process of achieving these goals the FBIRN test bed generated several multi-scanner brain imaging data sets to be shared with the wider scientific community via the BIRN Data Repository (BDR). The FBIRN Phase 1 data set consists of a traveling subject study of 5 healthy subjects, each scanned on 10 different 1.5 to 4 T scanners. The FBIRN Phase 2 and Phase 3 data sets consist of subjects with schizophrenia or schizoaffective disorder along with healthy comparison subjects scanned at multiple sites. In this paper, we provide concise descriptions of FBIRN's multi-scanner brain imaging data sets and details about the BIRN Data Repository instance of the Human Imaging Database (HID) used to publicly share the data. Copyright © 2015 Elsevier Inc. All rights reserved.

Ethnographies of pain: culture, context and complexity

PubMed Central

2015-01-01

This article briefly introduces and discusses the value of ethnographic research, particularly research hailing from the discipline of social and cultural anthropology. After an introduction to ethnography in general, key ethnographic studies of pain are described. These show that ethnography provides a set of techniques for data collection and analysis, as well as a way of thinking about pain as socially and culturally embedded. Modern ethnographic writing is far removed from the literature of the past that sometimes described stereotypes rather than process and complexity. Ethnography provides the chance to describe the complexity and nuance of culture, which serves to counter stereotypes. The article concludes with an example from pain research conducted in a clinical setting. Through the use of ethnographic techniques, the research study provided greater insight than other methods alone might have achieved. The article includes references for further reading should readers be interested in developing their engagement with ethnographic method and interpretation. PMID:26516554

Enhancing predictive accuracy and reproducibility in clinical evaluation research: Commentary on the special section of the Journal of Evaluation in Clinical Practice.

PubMed

Bryant, Fred B

2016-12-01

This paper introduces a special section of the current issue of the Journal of Evaluation in Clinical Practice that includes a set of 6 empirical articles showcasing a versatile, new machine-learning statistical method, known as optimal data (or discriminant) analysis (ODA), specifically designed to produce statistical models that maximize predictive accuracy. As this set of papers clearly illustrates, ODA offers numerous important advantages over traditional statistical methods-advantages that enhance the validity and reproducibility of statistical conclusions in empirical research. This issue of the journal also includes a review of a recently published book that provides a comprehensive introduction to the logic, theory, and application of ODA in empirical research. It is argued that researchers have much to gain by using ODA to analyze their data. © 2016 John Wiley & Sons, Ltd.

Psychotherapy and despair in the prison setting.

PubMed

Gee, Joanna; Loewenthal, Del; Cayne, Julia

2015-01-01

The purpose of this paper is to outline research which aimed to explore psychotherapists' experience of working with despair, in the UK prison setting, through a qualitative phenomenological approach. Within the forensic psychological literature, despair is considered a pathology, associated with suicide and self-harm, resulting from the prisoners histories and the coercive prison setting. In turn, therapeutic writings outline the importance of therapy in the prison setting with despair in providing coping skills, containment and learning opportunities for the prisoners involved. Within the study, ten psychotherapists were interviewed as to their experience of working with clients in despair in the prison setting. The data were analysed via the phenomenological research method Empirical Phenomenological Analysis (EPA), and a secondary analysis through reverie. Through the analysis by EPA, despair emerged in the prison setting as a destabilising phenomenon to which there was no protocol for working with it. Participants also described the prisoners' despair and the despairing prison setting, touching on their own sense of vulnerability and despair. However, drawing on the secondary analysis by reverie, the researcher also became aware of how the phenomenon of despair emerged not simply through the said, but also through the intersubjective. It was therefore through the secondary analysis by reverie that the importance of the attendance to aspects of intersubjectivity in prison research emerged. This paper contributes to the therapeutic writings on despair in the prison setting, alongside holding implications for qualitative research in the prison setting.

Core outcome sets for research and clinical practice.

PubMed

Chiarotto, Alessandro; Ostelo, Raymond W; Turk, Dennis C; Buchbinder, Rachelle; Boers, Maarten

This masterclass introduces the topic of core outcome sets, describing rationale and methods for developing them, and providing some examples that are relevant for clinical research and practice. A core outcome set is a minimum consensus-based set of outcomes that should be measured and reported in all clinical trials for a specific health condition and/or intervention. Issues surrounding outcome assessment, such as selective reporting and inconsistency across studies, can be addressed by the development of a core set. As suggested by key initiatives in this field (i.e. OMERACT and COMET), the development requires achieving consensus on: (1) core outcome domains and (2) core outcome measurement instruments. Different methods can be used to reach consensus, including: literature systematic reviews to inform the process, qualitative research with clinicians and patients, group discussions (e.g. nominal group technique), and structured surveys (e.g. Delphi technique). Various stakeholders should be involved in the process, with particular attention to patients. Several COSs have been developed for musculoskeletal conditions including a longstanding one for low back pain, IMMPACT recommendations on outcomes for chronic pain, and OMERACT COSs for hip, knee and hand osteoarthritis. There is a lack of COSs for neurological, geriatric, cardio-respiratory and pediatric conditions, therefore, future research could determine the value of developing COSs for these conditions. Copyright © 2017 Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia. Publicado por Elsevier Editora Ltda. All rights reserved.

Fuel Cell Manufacturing Research and Development | Hydrogen and Fuel Cells

Science.gov Websites

methods to meet volume and cost targets for transportation and other applications. Fortunately, much can set Develop predictive models to help industry design better manufacturing processes and methods

"Theory Becoming Alive": The Learning Transition Process of Newly Graduated Nurses in Canada.

PubMed

Nour, Violet; Williams, Anne M

2018-01-01

Background Newly graduated nurses often encounter a gap between theory and practice in clinical settings. Although this has been the focus of considerable research, little is known about the learning transition process. Purpose The purpose of this study was to explore the experiences of newly graduated nurses in acute healthcare settings within Canada. This study was conducted to gain a greater understanding of the experiences and challenges faced by graduates. Methods Grounded theory method was utilized with a sample of 14 registered nurses who were employed in acute-care settings. Data were collected using in-depth interviews. Constant comparative analysis was used to analyze data. Results Findings revealed a core category, "Theory Becoming Alive," and four supporting categories: Entry into Practice, Immersion, Committing, and Evolving. Theory Becoming Alive described the process of new graduate nurses' clinical learning experiences as well as the challenges that they encountered in clinical settings after graduating. Conclusions This research provides a greater understanding of learning process of new graduate nurses in Canada. It highlights the importance of providing supportive environments to assist new graduate nurses to develop confidence as independent registered nurses in clinical areas. Future research directions as well as supportive educational strategies are described.

The accountability for reasonableness approach to guide priority setting in health systems within limited resources – findings from action research at district level in Kenya, Tanzania, and Zambia

PubMed Central

2014-01-01

Background Priority-setting decisions are based on an important, but not sufficient set of values and thus lead to disagreement on priorities. Accountability for Reasonableness (AFR) is an ethics-based approach to a legitimate and fair priority-setting process that builds upon four conditions: relevance, publicity, appeals, and enforcement, which facilitate agreement on priority-setting decisions and gain support for their implementation. This paper focuses on the assessment of AFR within the project REsponse to ACcountable priority setting for Trust in health systems (REACT). Methods This intervention study applied an action research methodology to assess implementation of AFR in one district in Kenya, Tanzania, and Zambia, respectively. The assessments focused on selected disease, program, and managerial areas. An implementing action research team of core health team members and supporting researchers was formed to implement, and continually assess and improve the application of the four conditions. Researchers evaluated the intervention using qualitative and quantitative data collection and analysis methods. Results The values underlying the AFR approach were in all three districts well-aligned with general values expressed by both service providers and community representatives. There was some variation in the interpretations and actual use of the AFR in the decision-making processes in the three districts, and its effect ranged from an increase in awareness of the importance of fairness to a broadened engagement of health team members and other stakeholders in priority setting and other decision-making processes. Conclusions District stakeholders were able to take greater charge of closing the gap between nationally set planning and the local realities and demands of the served communities within the limited resources at hand. This study thus indicates that the operationalization of the four broadly defined and linked conditions is both possible and seems to be responding to an actual demand. This provides arguments for the continued application and further assessment of the potential of AFR in supporting priority-setting and other decision-making processes in health systems to achieve better agreed and more sustainable health improvements linked to a mutual democratic learning with potential wider implications. PMID:25142148

Developing longitudinal qualitative designs: lessons learned and recommendations for health services research.

PubMed

Calman, Lynn; Brunton, Lisa; Molassiotis, Alex

2013-02-06

Longitudinal qualitative methods are becoming increasingly used in the health service research, but the method and challenges particular to health care settings are not well described in the literature.We reflect on the strategies used in a longitudinal qualitative study to explore the experience of symptoms in cancer patients and their carers, following participants from diagnosis for twelve months; we highlight ethical, practical, theoretical and methodological issues that need to be considered and addressed from the outset of a longitudinal qualitative study. Key considerations in undertaking longitudinal qualitative projects in health research, include the use of theory, utilizing multiple methods of analysis and giving consideration to the practical and ethical issues at an early stage. These can include issues of time and timing; data collection processes; changing the topic guide over time; recruitment considerations; retention of staff; issues around confidentiality; effects of project on staff and patients, and analyzing data within and across time. As longitudinal qualitative methods are becoming increasingly used in health services research, the methodological and practical challenges particular to health care settings need more robust approaches and conceptual improvement. We provide recommendations for the use of such designs. We have a particular focus on cancer patients, so this paper will have particular relevance for researchers interested in chronic and life limiting conditions.

How Do High School Students Solve Probability Problems? A Mixed Methods Study on Probabilistic Reasoning

ERIC Educational Resources Information Center

Heyvaert, Mieke; Deleye, Maarten; Saenen, Lore; Van Dooren, Wim; Onghena, Patrick

2018-01-01

When studying a complex research phenomenon, a mixed methods design allows to answer a broader set of research questions and to tap into different aspects of this phenomenon, compared to a monomethod design. This paper reports on how a sequential equal status design (QUAN ? QUAL) was used to examine students' reasoning processes when solving…

Reducing Information Overload in Large Seismic Data Sets

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

HAMPTON,JEFFERY W.; YOUNG,CHRISTOPHER J.; MERCHANT,BION J.

2000-08-02

Event catalogs for seismic data can become very large. Furthermore, as researchers collect multiple catalogs and reconcile them into a single catalog that is stored in a relational database, the reconciled set becomes even larger. The sheer number of these events makes searching for relevant events to compare with events of interest problematic. Information overload in this form can lead to the data sets being under-utilized and/or used incorrectly or inconsistently. Thus, efforts have been initiated to research techniques and strategies for helping researchers to make better use of large data sets. In this paper, the authors present their effortsmore » to do so in two ways: (1) the Event Search Engine, which is a waveform correlation tool and (2) some content analysis tools, which area combination of custom-built and commercial off-the-shelf tools for accessing, managing, and querying seismic data stored in a relational database. The current Event Search Engine is based on a hierarchical clustering tool known as the dendrogram tool, which is written as a MatSeis graphical user interface. The dendrogram tool allows the user to build dendrogram diagrams for a set of waveforms by controlling phase windowing, down-sampling, filtering, enveloping, and the clustering method (e.g. single linkage, complete linkage, flexible method). It also allows the clustering to be based on two or more stations simultaneously, which is important to bridge gaps in the sparsely recorded event sets anticipated in such a large reconciled event set. Current efforts are focusing on tools to help the researcher winnow the clusters defined using the dendrogram tool down to the minimum optimal identification set. This will become critical as the number of reference events in the reconciled event set continually grows. The dendrogram tool is part of the MatSeis analysis package, which is available on the Nuclear Explosion Monitoring Research and Engineering Program Web Site. As part of the research into how to winnow the reference events in these large reconciled event sets, additional database query approaches have been developed to provide windows into these datasets. These custom built content analysis tools help identify dataset characteristics that can potentially aid in providing a basis for comparing similar reference events in these large reconciled event sets. Once these characteristics can be identified, algorithms can be developed to create and add to the reduced set of events used by the Event Search Engine. These content analysis tools have already been useful in providing information on station coverage of the referenced events and basic statistical, information on events in the research datasets. The tools can also provide researchers with a quick way to find interesting and useful events within the research datasets. The tools could also be used as a means to review reference event datasets as part of a dataset delivery verification process. There has also been an effort to explore the usefulness of commercially available web-based software to help with this problem. The advantages of using off-the-shelf software applications, such as Oracle's WebDB, to manipulate, customize and manage research data are being investigated. These types of applications are being examined to provide access to large integrated data sets for regional seismic research in Asia. All of these software tools would provide the researcher with unprecedented power without having to learn the intricacies and complexities of relational database systems.« less

Effects on Vocabulary Acquisition of Presenting New Words in Semantic Sets versus Semantically Unrelated Sets

ERIC Educational Resources Information Center

Erten, Ismail Hakki; Tekin, Mustafa

2008-01-01

This paper reports on a study which investigated the effect on vocabulary recall of introducing new words via two different methods. A one-group quasi-experimental research design with alternating time series measures was employed. A group of 60 fourth graders were taught 80 carefully selected words either in semantically related sets or…

An Accurate Fire-Spread Algorithm in the Weather Research and Forecasting Model Using the Level-Set Method

NASA Astrophysics Data System (ADS)

Muñoz-Esparza, Domingo; Kosović, Branko; Jiménez, Pedro A.; Coen, Janice L.

2018-04-01

The level-set method is typically used to track and propagate the fire perimeter in wildland fire models. Herein, a high-order level-set method using fifth-order WENO scheme for the discretization of spatial derivatives and third-order explicit Runge-Kutta temporal integration is implemented within the Weather Research and Forecasting model wildland fire physics package, WRF-Fire. The algorithm includes solution of an additional partial differential equation for level-set reinitialization. The accuracy of the fire-front shape and rate of spread in uncoupled simulations is systematically analyzed. It is demonstrated that the common implementation used by level-set-based wildfire models yields to rate-of-spread errors in the range 10-35% for typical grid sizes (Δ = 12.5-100 m) and considerably underestimates fire area. Moreover, the amplitude of fire-front gradients in the presence of explicitly resolved turbulence features is systematically underestimated. In contrast, the new WRF-Fire algorithm results in rate-of-spread errors that are lower than 1% and that become nearly grid independent. Also, the underestimation of fire area at the sharp transition between the fire front and the lateral flanks is found to be reduced by a factor of ≈7. A hybrid-order level-set method with locally reduced artificial viscosity is proposed, which substantially alleviates the computational cost associated with high-order discretizations while preserving accuracy. Simulations of the Last Chance wildfire demonstrate additional benefits of high-order accurate level-set algorithms when dealing with complex fuel heterogeneities, enabling propagation across narrow fuel gaps and more accurate fire backing over the lee side of no fuel clusters.

De/signing Research in Education: Patchwork(ing) Methodologies with Theory

ERIC Educational Resources Information Center

Higgins, Marc; Madden, Brooke; Berard, Marie-France; Lenz Kothe, Elsa; Nordstrom, Susan

2017-01-01

Four education scholars extend the methodological space inspired by Jackson and Mazzei's "Thinking with Theory" through focusing on research design. The notion of de/sign is presented and employed to counter prescriptive method/ology that often sutures over pedagogical possibilities in research and educational settings. Key…

Biodiversity research sets sail: showcasing the diversity of marine life.

PubMed

Webb, Thomas J

2009-04-23

The World Congress on Marine Biodiversity was held in the City of Arts and Sciences, Valencia, from 10 to 15 November 2008, showcasing research on all aspects of marine biodiversity from basic taxonomic exploration to innovative conservation strategies and methods to integrate research into environmental policy.

Pedagogical System of Future Teachers' Professional Thinking Culture Formation

ERIC Educational Resources Information Center

Abildina, Saltanat K.; Sarsekeyeva, Zhanar Y.; Aidarbekova, Kulzhan A.; Asetova, Zhannur B.; Adanov, Kuanysbek B.

2016-01-01

Research objective is to theoretically justify and to develop a pedagogical system of development of future teachers' professional thinking culture. In the research there are used a set of theoretical methods: systematic analysis of the philosophical, psychological and pedagogical literature on the researched topic; compilation and classification…

Research on Cleaning Up in San Diego.

ERIC Educational Resources Information Center

Middleman, Stanley

1983-01-01

Discusses the evolution of a set of research programs (dealing with the removal of liquid contaminants from surfaces) used to introduce graduate students to methods of design, evaluation, and modification within the context of a larger research program. Stresses the simultaneity and interaction of theoretical and experimental studies. (JM)

Strengthening expertise for health technology assessment and priority-setting in Africa

PubMed Central

Doherty, Jane E; Wilkinson, Thomas; Edoka, Ijeoma; Hofman, Karen

2017-01-01

ABSTRACT Background: Achieving sustainable universal health coverage depends partly on fair priority-setting processes that ensure countries spend scarce resources wisely. While general health economics capacity-strengthening initiatives exist in Africa, less attention has been paid to developing the capacity of individuals, institutions and networks to apply economic evaluation in support of health technology assessment and effective priority-setting. Objective: On the basis of international  lessons, to identify how research organisations and partnerships could contribute to capacity strengthening for health technology assessment and priority-setting in Africa. Methods: A rapid scan was conducted of international formal and grey literature and lessons extracted from the deliberations of two international and regional workshops relating to capacity-building for health technology assessment. ‘Capacity’ was defined in broad terms, including a conducive political environment, strong public institutional capacity to drive priority-setting, effective networking between experts, strong research organisations and skilled researchers. Results: Effective priority-setting requires more than high quality economic research. Researchers have to engage with an array of stakeholders, network closely other research organisations, build partnerships with different levels of government and train the future generation of researchers and policy-makers. In low- and middle-income countries where there are seldom government units or agencies dedicated to health technology assessment, they also have to support the development of an effective priority-setting process that is sensitive to societal and government needs and priorities. Conclusions: Research organisations have an important role to play in contributing to the development of health technology assessment and priority-setting capacity. In Africa, where there are resource and capacity challenges, effective partnerships between local and international researchers, and with key government stakeholders, can leverage existing skills and knowledge to generate a critical mass of individuals and institutions. These would help to meet the priority-setting needs of African countries and contribute to sustainable universal health coverage. PMID:29035166

Traversing the many paths of workflow research: developing a conceptual framework of workflow terminology through a systematic literature review

PubMed Central

Novak, Laurie L; Johnson, Kevin B; Lorenzi, Nancy M

2010-01-01

The objective of this review was to describe methods used to study and model workflow. The authors included studies set in a variety of industries using qualitative, quantitative and mixed methods. Of the 6221 matching abstracts, 127 articles were included in the final corpus. The authors collected data from each article on researcher perspective, study type, methods type, specific methods, approaches to evaluating quality of results, definition of workflow and dependent variables. Ethnographic observation and interviews were the most frequently used methods. Long study durations revealed the large time commitment required for descriptive workflow research. The most frequently discussed technique for evaluating quality of study results was triangulation. The definition of the term “workflow” and choice of methods for studying workflow varied widely across research areas and researcher perspectives. The authors developed a conceptual framework of workflow-related terminology for use in future research and present this model for use by other researchers. PMID:20442143

Sources of method bias in social science research and recommendations on how to control it.

PubMed

Podsakoff, Philip M; MacKenzie, Scott B; Podsakoff, Nathan P

2012-01-01

Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.

The Legacy of Florence Nightingale's Environmental Theory: Nursing Research Focusing on the Impact of Healthcare Environments.

PubMed

Zborowsky, Terri

2014-01-01

The purpose of this paper is to explore nursing research that is focused on the impact of healthcare environments and that has resonance with the aspects of Florence Nightingale's environmental theory. Nurses have a unique ability to apply their observational skills to understand the role of the designed environment to enable healing in their patients. This affords nurses the opportunity to engage in research studies that have immediate impact on the act of nursing. Descriptive statistics were performed on 67 healthcare design-related research articles from 25 nursing journals to discover the topical areas of interest of nursing research today. Data were also analyzed to reveal the research designs, research methods, and research settings. These data are part of an ongoing study. Descriptive statistics reveal that topics and settings most frequently cited are in keeping with the current healthcare foci of patient care quality and safety in acute and intensive care environments. Research designs and methods most frequently cited are in keeping with the early progression of a knowledge area. A few assertions can be made as a result of this study. First, education is important to continue the knowledge development in this area. Second, multiple method research studies should continue to be considered as important to healthcare research. Finally, bedside nurses are in the best position possible to begin to help us all, through research, understand how the design environment impacts patients during the act of nursing. Evidence-based design, literature review, nursing.

Application of economic principles in healthcare priority setting.

PubMed

Bate, Angela; Mitton, Craig

2006-06-01

In healthcare, resources are often insufficient to meet all claims on them. In this respect, resources are considered scarce and have to be managed by prioritizing between competing claims. Economics as a discipline explicitly addresses this reality by acknowledging resource scarcity. However, the extent to which economics actually influences such prioritizing decisions in healthcare is unclear. The purpose of this paper is to review the use of economics in priority setting decision making. We outline the key principles of economics as they apply to priority setting and review the methods reported in the literature with respect to these. We find that these methods, even economic methods (e.g., those typically used in conducting economic evaluations such as cost-effectiveness analyses) do not tend to explicitly incorporate economic principles. We argue therefore that these methods, when applied to the context of priority setting, are not sufficient and that what is required is a broader framework that can incorporate the output from economic methods yet also be pragmatically applicable. We then go on to present an alternative approach - namely program budgeting and marginal analysis. Finally, we put forward our case for using program budgeting and marginal analysis in priority setting practice and set out some future research challenges.

[Impact factor, its variants and its influence in academic promotion].

PubMed

Puche, Rodolfo C

2011-01-01

Bibliometrics is a set of methods used to study or measure texts and information. While bibliometric methods are most often used in the field of library and information science, bibliometrics variables have wide applications in other areas. One popular bibliometric variable is Garfield's Impact Factor (IF). IF is used to explore the impact of a given field, the impact of a set of researchers, or the impact of a particular paper. This variable is used to assess academic output and it is believed to affect adversely the traditional approach and assessment of scientific research. In our country, the members of the evaluation committees of intensive research institutions, e.g. the National Scientific and Technical Research Council (CONICET) use IF to assess the quality of research. This article revises the exponential growth of bibliometrics and attempts to expose the overall dissatisfaction with the analytical quality of IF. Such dissatisfaction is expressed in the number of investigations attempting to obtain a better variable of improved analytical quality.

Understanding facilitators and barriers to reengineering the clinical research enterprise in community-based practice settings.

PubMed

Kukafka, Rita; Allegrante, John P; Khan, Sharib; Bigger, J Thomas; Johnson, Stephen B

2013-09-01

Solutions are employed to support clinical research trial tasks in community-based practice settings. Using the IT Implementation Framework (ITIF), an integrative framework intended to guide the synthesis of theoretical perspectives for planning multi-level interventions to enhance IT use, we sought to understand the barriers and facilitators to clinical research in community-based practice settings preliminary to implementing new informatics solutions for improving clinical research infrastructure. The studies were conducted in practices within the Columbia University Clinical Trials Network. A mixed-method approach, including surveys, interviews, time-motion studies, and observations was used. The data collected, which incorporates predisposing, enabling, and reinforcing factors in IT use, were analyzed according to each phase of ITIF. Themes identified in the first phase of ITIF were 1) processes and tools to support clinical trial research and 2) clinical research peripheral to patient care processes. Not all of the problems under these themes were found to be amenable to IT solutions. Using the multi-level orientation of the ITIF, we set forth strategies beyond IT solutions that can have an impact on reengineering clinical research tasks in practice-based settings. Developing strategies to target enabling and reinforcing factors, which focus on organizational factors, and the motivation of the practice at large to use IT solutions to integrate clinical research tasks with patient care processes, is most challenging. The ITIF should be used to consider both IT and non-IT solutions concurrently for reengineering of clinical research in community-based practice settings. © 2013.

Exploring the challenge of health research priority setting in partnership: reflections on the methodology used by the James Lind Alliance Pressure Ulcer Priority Setting Partnership.

PubMed

Madden, Mary; Morley, Richard

2016-01-01

The James Lind Alliance (JLA) brings patients, carers and clinicians together in Priority Setting Partnerships (PSPs) to identify and prioritise shared uncertainties about the effects of treatment. The JLA emerged from the evidence-informed healthcare movement to address a concern that the research being carried out on treatment effectiveness is not that of most importance to patients and health professionals. In the JLA PSPs, 'hard' evidence-informed ideals meet 'soft' participatory practices. This article explores the challenges of putting co-production methods into practice by reflecting on the methods used by the JLA Pressure Ulcer PSP (JLAPUP). The JLA principles are transparency, inclusivity and avoiding waste in research. This means paying the same close critical attention to how PSPs are designed and run, as is desired in the health research which the JLA seeks to influence. JLAPUP showed that it was possible to work in partnership in a field where patients are often elderly, immobile, unrepresented and particularly unwell, many of whom are living with more than one long term condition. However, for those unfamiliar with it, 'uncertainty' was a difficult term to get to grips with. Also, it was harder for some people than others to take part and to have their voices heard and understood. In keeping with other PSPs, JLAPUP found that the nature and quality of research into pressure ulcer prevention and treatment did not reflect the priorities of those who took part. ᅟ. Studies identifying a mismatch between the priorities of academics and clinicians and those of people with direct experience of a health condition pose a challenge to the assumption that professional researchers can represent the interests of patients and the public in setting priorities for health research. The James Lind Alliance (JLA) brings patients, carers and clinicians together in Priority Setting Partnerships (PSPs) to identify and prioritise shared uncertainties about the effects of treatment. There is no formal evaluation yet to examine the different approaches used by individual PSPs and the impact these methods have on the quality of the partnership and subsequent outputs. There is no gold standard method for health research topic identification and priority setting and reporting on public involvement in this area is predominantly descriptive rather than evaluative. The JLA Pressure Ulcer PSP (JLAPUP) was developed and worked between 2009 and 2013 to identify and prioritise the top 10 'uncertainties' , or 'unanswered questions', about the effects of pressure ulcer interventions. JLAPUP identified a mismatch between the nature and quality of RCTs in pressure ulcer prevention and treatment and the kind of research evidence desired by patients or service users, carers and health professionals. Results and methods have been reported fully elsewhere. The consultative and deliberative methods used to establish health research priorities in PSPs are fundamentally interpretive. PSPs are therefore an arena in which 'hard' evidence-informed ideals meet 'soft' participatory practices. This article provides an account of the challenges faced in one particular PSP. We explain the rationale for the approaches taken, difficulties faced and the limitations at each stage, because these aspects are particularly under-reported. The JLAPUP case is used to identify possible areas for evaluation and reporting across PSPs. Engaging people with very different health and life experiences in the complexities of health science based discussions of uncertainty is challenging. This is particularly the case when engaging groups routinely excluded from participating in health research, for example, older people with multiple comorbidities. The JLA principles of transparency, inclusivity and avoiding waste in research require paying close critical attention to PSP methodology, including full evaluation and reporting of PSP processes and outcomes. Assessing the impact of PSPs is contingent on the decision making processes of commissioners and funders.

Evolution of Self-Reporting Methods for Identifying Discrete Emotions in Science Classrooms

ERIC Educational Resources Information Center

Ritchie, Stephen M.; Hudson, Peter; Bellocchi, Alberto; Henderson, Senka; King, Donna; Tobin, Kenneth

2016-01-01

Emotion researchers have grappled with challenging methodological issues in capturing emotions of participants in naturalistic settings such as school or university classrooms. Self-reporting methods have been used frequently, yet these methods are inadequate when used alone. We argue that the self-reporting methods of emotion diaries and…

Developing students’ learning achievement and experimental skills on buoyancy and the involvement of Newton’s third law through experimental sets

NASA Astrophysics Data System (ADS)

Chokchai, Jaewijarn; Khanti, Toedtanya; Sura, Wuttiprom

2017-09-01

The purposes of this research were: to construct packages of operations on buoyancy and the involvement of Newton’s third law, to enhance achievement score of students on buoyancy and the involvement of Newton’s third law, to enhance experimental skills on buoyancy and the involvement of Newton’s third law and to evaluate students’ attitude towards the packages of operations on buoyancy and the involvement of Newton’s third law using inquiry method. The samples were 42 grade 11 students in academic year 2016 at Hatyaiwittayalai School, Hatyai, Songkhla. The research method was one group pretest-posttest design. The research tools consisted of experimental set on buoyancy and the involvement of Newton’s third law, the learning achievement test on buoyancy and the involvement of Newton’s third law and the students’ attitude questionnaires. The experimental skills of most students was in a good level . The satisfaction of most students was in a good level. The research showed the learning achievement after instruction higher than that before instruction using experimental set at the significant level of 0.05 and the class average normalized gain is in the medium gain

The MIXED framework: A novel approach to evaluating mixed-methods rigor.

PubMed

Eckhardt, Ann L; DeVon, Holli A

2017-10-01

Evaluation of rigor in mixed-methods (MM) research is a persistent challenge due to the combination of inconsistent philosophical paradigms, the use of multiple research methods which require different skill sets, and the need to combine research at different points in the research process. Researchers have proposed a variety of ways to thoroughly evaluate MM research, but each method fails to provide a framework that is useful for the consumer of research. In contrast, the MIXED framework is meant to bridge the gap between an academic exercise and practical assessment of a published work. The MIXED framework (methods, inference, expertise, evaluation, and design) borrows from previously published frameworks to create a useful tool for the evaluation of a published study. The MIXED framework uses an experimental eight-item scale that allows for comprehensive integrated assessment of MM rigor in published manuscripts. Mixed methods are becoming increasingly prevalent in nursing and healthcare research requiring researchers and consumers to address issues unique to MM such as evaluation of rigor. © 2017 John Wiley & Sons Ltd.

10 best resources on ... mixed methods research in health systems.

PubMed

Ozawa, Sachiko; Pongpirul, Krit

2014-05-01

Mixed methods research has become increasingly popular in health systems. Qualitative approaches are often used to explain quantitative results and help to develop interventions or survey instruments. Mixed methods research is especially important in low- and middle-income country (LMIC) settings, where understanding social, economic and cultural contexts are essential to assess health systems performance. To provide researchers and programme managers with a guide to mixed methods research in health systems, we review the best resources with a focus on LMICs. We selected 10 best resources (eight peer-reviewed articles and two textbooks) based on their importance and frequency of use (number of citations), comprehensiveness of content, usefulness to readers and relevance to health systems research in resource-limited contexts. We start with an overview on mixed methods research and discuss resources that are useful for a better understanding of the design and conduct of mixed methods research. To illustrate its practical applications, we provide examples from various countries (China, Vietnam, Kenya, Tanzania, Zambia and India) across different health topics (tuberculosis, malaria, HIV testing and healthcare costs). We conclude with some toolkits which suggest what to do when mixed methods findings conflict and provide guidelines for evaluating the quality of mixed methods research.

Research-based active-learning instruction in physics

NASA Astrophysics Data System (ADS)

Meltzer, David E.; Thornton, Ronald K.

2013-04-01

The development of research-based active-learning instructional methods in physics has significantly altered the landscape of U.S. physics education during the past 20 years. Based on a recent review [D.E. Meltzer and R.K. Thornton, Am. J. Phys. 80, 478 (2012)], we define these methods as those (1) explicitly based on research in the learning and teaching of physics, (2) that incorporate classroom and/or laboratory activities that require students to express their thinking through speaking, writing, or other actions that go beyond listening and the copying of notes, or execution of prescribed procedures, and (3) that have been tested repeatedly in actual classroom settings and have yielded objective evidence of improved student learning. We describe some key features common to methods in current use. These features focus on (a) recognizing and addressing students' physics ideas, and (b) guiding students to solve problems in realistic physical settings, in novel and diverse contexts, and to justify or explain the reasoning they have used.

Research on Daily Objects Detection Based on Deep Neural Network

NASA Astrophysics Data System (ADS)

Ding, Sheng; Zhao, Kun

2018-03-01

With the rapid development of deep learning, great breakthroughs have been made in the field of object detection. In this article, the deep learning algorithm is applied to the detection of daily objects, and some progress has been made in this direction. Compared with traditional object detection methods, the daily objects detection method based on deep learning is faster and more accurate. The main research work of this article: 1. collect a small data set of daily objects; 2. in the TensorFlow framework to build different models of object detection, and use this data set training model; 3. the training process and effect of the model are improved by fine-tuning the model parameters.

Clinical code set engineering for reusing EHR data for research: A review.

PubMed

Williams, Richard; Kontopantelis, Evangelos; Buchan, Iain; Peek, Niels

2017-06-01

The construction of reliable, reusable clinical code sets is essential when re-using Electronic Health Record (EHR) data for research. Yet code set definitions are rarely transparent and their sharing is almost non-existent. There is a lack of methodological standards for the management (construction, sharing, revision and reuse) of clinical code sets which needs to be addressed to ensure the reliability and credibility of studies which use code sets. To review methodological literature on the management of sets of clinical codes used in research on clinical databases and to provide a list of best practice recommendations for future studies and software tools. We performed an exhaustive search for methodological papers about clinical code set engineering for re-using EHR data in research. This was supplemented with papers identified by snowball sampling. In addition, a list of e-phenotyping systems was constructed by merging references from several systematic reviews on this topic, and the processes adopted by those systems for code set management was reviewed. Thirty methodological papers were reviewed. Common approaches included: creating an initial list of synonyms for the condition of interest (n=20); making use of the hierarchical nature of coding terminologies during searching (n=23); reviewing sets with clinician input (n=20); and reusing and updating an existing code set (n=20). Several open source software tools (n=3) were discovered. There is a need for software tools that enable users to easily and quickly create, revise, extend, review and share code sets and we provide a list of recommendations for their design and implementation. Research re-using EHR data could be improved through the further development, more widespread use and routine reporting of the methods by which clinical codes were selected. Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

The CONSENSUS study: protocol for a mixed methods study to establish which outcomes should be included in a core outcome set for oropharyngeal cancer.

PubMed

Waters, Aoife Mi; Tudur Smith, Catrin; Young, Bridget; Jones, Terry M

2014-05-13

The incidence of oropharyngeal cancer is increasing in the developed world. This has led to a large rise in research activity and clinical trials in this area, yet there is no consensus on which outcomes should be measured. As a result, the outcomes measured often differ between trials of comparable interventions, making the combination or comparison of results between trials impossible. Outcomes may also be 'cherry-picked', such that favourable results are reported, and less favourable results withheld. The development of a minimum outcome reporting standard, known as a core outcome set, goes some way to addressing these problems. Core outcome sets are ideally developed using a patient-centred approach so that the outcomes measured are relevant to patients and clinical practice. Core outcome sets drive up the quality and relevance of research by ensuring that the right outcomes are consistently measured and reported in trials in specific areas of health or healthcare. This is a mixed methods study involving three phases to develop a core outcome set for oropharyngeal cancer clinical trials. Firstly, a systematic review will establish which outcomes are measured in published oropharyngeal cancer randomised controlled trials (RCTs). Secondly, qualitative interviews with patients and carers in the UK and the USA will aim to establish which outcomes are important to these stakeholders. Data from these first two stages will be used to develop a comprehensive list of outcomes to be considered for inclusion in the core outcome set. In the third stage, patients and clinicians will participate in an iterative consensus exercise known as a Delphi study to refine the contents of the core outcome set. This protocol lays out the methodology to be implemented in the CONSENSUS study. A core outcome set defines a minimum outcome reporting standard for clinical trials in a particular area of health or healthcare. Its consistent implementation in oropharyngeal cancer clinical trials will improve the quality and relevance of research. This study is registered at the National Institute for Health Research (NIHR) Clinical Research Network (CRN) portfolio, ID 13823 (17 January 2013).

Priority setting: what constitutes success? A conceptual framework for successful priority setting

PubMed Central

Sibbald, Shannon L; Singer, Peter A; Upshur, Ross; Martin, Douglas K

2009-01-01

Background The sustainability of healthcare systems worldwide is threatened by a growing demand for services and expensive innovative technologies. Decision makers struggle in this environment to set priorities appropriately, particularly because they lack consensus about which values should guide their decisions. One way to approach this problem is to determine what all relevant stakeholders understand successful priority setting to mean. The goal of this research was to develop a conceptual framework for successful priority setting. Methods Three separate empirical studies were completed using qualitative data collection methods (one-on-one interviews with healthcare decision makers from across Canada; focus groups with representation of patients, caregivers and policy makers; and Delphi study including scholars and decision makers from five countries). Results This paper synthesizes the findings from three studies into a framework of ten separate but interconnected elements germane to successful priority setting: stakeholder understanding, shifted priorities/reallocation of resources, decision making quality, stakeholder acceptance and satisfaction, positive externalities, stakeholder engagement, use of explicit process, information management, consideration of values and context, and revision or appeals mechanism. Conclusion The ten elements specify both quantitative and qualitative dimensions of priority setting and relate to both process and outcome components. To our knowledge, this is the first framework that describes successful priority setting. The ten elements identified in this research provide guidance for decision makers and a common language to discuss priority setting success and work toward improving priority setting efforts. PMID:19265518

Perceptions of pharmacogenetic research to guide tobacco cessation by patients, providers and leaders in a tribal healthcare setting

PubMed Central

Avey, Jaedon P; Hiratsuka, Vanessa Y; Beans, Julie A; Trinidad, Susan Brown; Tyndale, Rachel F; Robinson, Renee F

2016-01-01

Aim: Describe patients,’ providers’ and healthcare system leaders’ perceptions of pharmacogenetic research to guide tobacco cessation treatment in an American Indian/Alaska Native primary care setting. Materials & methods: This qualitative study used semistructured interviews with 20 American Indian/Alaska Native current or former tobacco users, 12 healthcare providers and nine healthcare system leaders. Results: Participants supported pharmacogenetic research to guide tobacco cessation treatment provided that a community-based participatory research approach be employed, research closely coordinate with existing tobacco cessation services and access to pharmacogenetic test results be restricted to providers involved in tobacco cessation. Conclusion: Despite a history of mistrust toward genetic research in tribal communities, participants expressed willingness to support pharmacogenetic research to guide tobacco cessation treatment. PMID:26871371

IMPLICATIONS OF USING ROBUST BAYESIAN ANALYSIS TO REPRESENT DIVERSE SOURCES OF UNCERTAINTY IN INTEGRATED ASSESSMENT

EPA Science Inventory

In our previous research, we showed that robust Bayesian methods can be used in environmental modeling to define a set of probability distributions for key parameters that captures the effects of expert disagreement, ambiguity, or ignorance. This entire set can then be update...

Straussian Grounded-Theory Method: An Illustration

ERIC Educational Resources Information Center

Thai, Mai Thi Thanh; Chong, Li Choy; Agrawal, Narendra M.

2012-01-01

This paper demonstrates the benefits and application of Straussian Grounded Theory method in conducting research in complex settings where parameters are poorly defined. It provides a detailed illustration on how this method can be used to build an internationalization theory. To be specific, this paper exposes readers to the behind-the-scene work…

Methodological Note: Analyzing Signs for Recognition & Feature Salience.

ERIC Educational Resources Information Center

Shyan, Melissa R.

1985-01-01

Presents a method to determine how signs in American Sign Language are recognized by signers. The method uses natural settings and avoids common artificialities found in prior work. A pilot study is described involving language research with Atlantic Bottlenose Dolphins in which the method was successfully used. (SED)

A hybrid approach of gene sets and single genes for the prediction of survival risks with gene expression data.

PubMed

Seok, Junhee; Davis, Ronald W; Xiao, Wenzhong

2015-01-01

Accumulated biological knowledge is often encoded as gene sets, collections of genes associated with similar biological functions or pathways. The use of gene sets in the analyses of high-throughput gene expression data has been intensively studied and applied in clinical research. However, the main interest remains in finding modules of biological knowledge, or corresponding gene sets, significantly associated with disease conditions. Risk prediction from censored survival times using gene sets hasn't been well studied. In this work, we propose a hybrid method that uses both single gene and gene set information together to predict patient survival risks from gene expression profiles. In the proposed method, gene sets provide context-level information that is poorly reflected by single genes. Complementarily, single genes help to supplement incomplete information of gene sets due to our imperfect biomedical knowledge. Through the tests over multiple data sets of cancer and trauma injury, the proposed method showed robust and improved performance compared with the conventional approaches with only single genes or gene sets solely. Additionally, we examined the prediction result in the trauma injury data, and showed that the modules of biological knowledge used in the prediction by the proposed method were highly interpretable in biology. A wide range of survival prediction problems in clinical genomics is expected to benefit from the use of biological knowledge.

A Hybrid Approach of Gene Sets and Single Genes for the Prediction of Survival Risks with Gene Expression Data

PubMed Central

Seok, Junhee; Davis, Ronald W.; Xiao, Wenzhong

2015-01-01

Accumulated biological knowledge is often encoded as gene sets, collections of genes associated with similar biological functions or pathways. The use of gene sets in the analyses of high-throughput gene expression data has been intensively studied and applied in clinical research. However, the main interest remains in finding modules of biological knowledge, or corresponding gene sets, significantly associated with disease conditions. Risk prediction from censored survival times using gene sets hasn’t been well studied. In this work, we propose a hybrid method that uses both single gene and gene set information together to predict patient survival risks from gene expression profiles. In the proposed method, gene sets provide context-level information that is poorly reflected by single genes. Complementarily, single genes help to supplement incomplete information of gene sets due to our imperfect biomedical knowledge. Through the tests over multiple data sets of cancer and trauma injury, the proposed method showed robust and improved performance compared with the conventional approaches with only single genes or gene sets solely. Additionally, we examined the prediction result in the trauma injury data, and showed that the modules of biological knowledge used in the prediction by the proposed method were highly interpretable in biology. A wide range of survival prediction problems in clinical genomics is expected to benefit from the use of biological knowledge. PMID:25933378

Inside the Black Box: Revealing the Process in Applying a Grounded Theory Analysis

ERIC Educational Resources Information Center

Rich, Peter

2012-01-01

Qualitative research methods have long set an example of rich description, in which data and researchers' hermeneutics work together to inform readers of findings in specific contexts. Among published works, insight into the analytical process is most often represented in the form of methodological propositions or research results. This paper…

THE LECTURE, AN ANALYSIS AND REVIEW OF RESEARCH.

ERIC Educational Resources Information Center

DICKENSON, GARY; VERNER, COOLIE

RESEARCH ON THE LECTURE TECHNIQUE CONDUCTED WITH ADULT GROUPS HAS BEEN FAR MORE VARIED THAN PREADULT RESEARCH, WHICH HAS BEEN DONE WITHIN THE LIMITATIONS OF THE CLASSROOM METHOD IN AN INSTITUTIONAL SETTING. STUDIES HAVE BEEN MADE OF IMMEDIATE OR DELAYED RECALL OF FACTUAL INFORMATION, OF MODIFICATION OF ATTITUDES OR BEHAVIOR, OF DELIVERY OVER RADIO…

Assessing Subjective Preferences for Future Fire Research

Treesearch

James B. Davis

1987-01-01

Methods are described for making comparative valuations of future fire (or any other) research efforts when the benefits that result from some of the efforts cannot be described in dollars. The process helps research managers and scientists set priorities by using the values and beliefs of skilled fire specialists. The objective is to insure coherent decisions...

Internationalizing Educational Leadership: How a University Department Jumps the Curve from Local to International

ERIC Educational Resources Information Center

Bogotch, Ira; Maslin-Ostrowski, Patricia

2010-01-01

Purpose: This study describes how an educational leadership department transformed its regional identity and localized practices over a ten-year period (1997-2007) to become internationalized in terms of research, teaching, and service. Research Methods/Approach (e.g., Setting, Participants, Research Design, Data Collection and Analysis): A basic…

Accessing Multicultural Issues through Critical Thinking, Critical Inquiry, and the Student Research Process

ERIC Educational Resources Information Center

Hawkins, Judith

2006-01-01

This qualitative study describes and evaluates a pedagogical procedure that allows multicultural college freshmen to devise and research topics indigenous to their communal backgrounds. The researcher wishes to ascertain whether a method delineated by an academic procedure and limited to a classroom setting can have extended social implications…

Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.

PubMed

Palinkas, Lawrence A; Horwitz, Sarah M; Green, Carla A; Wisdom, Jennifer P; Duan, Naihua; Hoagwood, Kimberly

2015-09-01

Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research. However, combining sampling strategies may be more appropriate to the aims of implementation research and more consistent with recent developments in quantitative methods. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation research.

Reporting Qualitative Research: Standards, Challenges, and Implications for Health Design.

PubMed

Peditto, Kathryn

2018-04-01

This Methods column describes the existing reporting standards for qualitative research, their application to health design research, and the challenges to implementation. Intended for both researchers and practitioners, this article provides multiple perspectives on both reporting and evaluating high-quality qualitative research. Two popular reporting standards exist for reporting qualitative research-the Consolidated Criteria for Reporting Qualitative Research (COREQ) and the Standards for Reporting Qualitative Research (SRQR). Though compiled using similar procedures, they differ in their criteria and the methods to which they apply. Creating and applying reporting criteria is inherently difficult due to the undefined and fluctuating nature of qualitative research when compared to quantitative studies. Qualitative research is expansive and occasionally controversial, spanning many different methods of inquiry and epistemological approaches. A "one-size-fits-all" standard for reporting qualitative research can be restrictive, but COREQ and SRQR both serve as valuable tools for developing responsible qualitative research proposals, effectively communicating research decisions, and evaluating submissions. Ultimately, tailoring a set of standards specific to health design research and its frequently used methods would ensure quality research and aid reviewers in their evaluations.

Patient and public engagement in priority setting: A systematic rapid review of the literature

PubMed Central

Vandall-Walker, Virginia; Mason-Lai, Ping

2018-01-01

Background Current research suggests that while patients are becoming more engaged across the health delivery spectrum, this involvement occurs most often at the pre-preparation stage to identify ‘high-level’ priorities in health ecosystem priority setting, and at the preparation phase for health research. Objective The purpose of this systematic rapid review of the literature is to describe the evidence that does exist in relation to patient and public engagement priority setting in both health ecosystem and health research. Data sources HealthStar (via OVID); CINAHL; Proquest Databases; and Scholar’s Portal. Study eligibility criteria i) published in English; ii) published within the timeframe of 2007—Current (10 years) unless the report/article was formative in synthesizing key considerations of patient engagement in health ecosystem and health research priority setting; iii) conducted in Canada, the US, Europe, UK, Australia/New Zealand, or Scandinavian countries. Study appraisal and synthesis i) Is the research valid, sound, and applicable?; ii) what outcomes can we potentially expect if we implement the findings from this research?; iii) will the target population (i.e., health researchers and practitioners) be able to use this research?. A summary of findings from each of the respective processes was synthesized to highlight key information that would support decision-making for researchers when determining the best priority setting process to apply for their specific patient-oriented research. Results Seventy articles from the UK, US, Canada, Netherlands and Australia were selected for review. Results were organized into two tiers of public and patient engagement in prioritization: Tier 1—Deliberative and Tier 2—Consultative. Highly structured patient and public engagement planning activities include the James Lind Alliance Priority Setting Partnerships (UK), Dialogue Method (Netherlands), Global Evidence Mapping (Australia), and the Deep Inclusion Method/CHoosing All Together (US). Limitations The critical study limitations include challenges in comprehensively identifying the patient engagement literature for review, bias in article selection due to the identified scope, missed information due to a more limited use of exhaustive search strategies (e.g., in-depth hand searching), and the heterogeneity of reported study findings. Conclusion The four public and patient engagement priority setting processes identified were successful in setting priorities that are inclusive and objectively based, specific to the priorities of stakeholders engaged in the process. The processes were robust, strategic and aimed to promote equity in patient voices. Key limitations identified a lack of evaluation data on the success and extent in which patients were engaged. Issues pertaining to feasibility of stakeholder engagement, coordination, communication and limited resources were also considered. PMID:29499043

Challenges in combining different data sets during analysis when using grounded theory.

PubMed

Rintala, Tuula-Maria; Paavilainen, Eija; Astedt-Kurki, Päivi

2014-05-01

To describe the challenges in combining two data sets during grounded theory analysis. The use of grounded theory in nursing research is common. It is a suitable method for studying human action and interaction. It is recommended that many alternative sources of data are collected to create as rich a dataset as possible. Data from interviews with people with diabetes (n=19) and their family members (n=19). Combining two data sets. When using grounded theory, there are numerous challenges in collecting and managing data, especially for the novice researcher. One challenge is to combine different data sets during the analysis. There are many methodological textbooks about grounded theory but there is little written in the literature about combining different data sets. Discussion is needed on the management of data and the challenges of grounded theory. This article provides a means for combining different data sets in the grounded theory analysis process.

Material Compatibility for Historic Items Decontaminated with ...

EPA Pesticide Factsheets

Report This project continued research of the effects of decontamination methods for biological agents on materials identified as representative of types of irreplaceable objects or works of art found in museums and/or archive settings. In the previous research, surrogate materials were checked for compatibility with four decontamination methods: chlorine dioxide, hydrogen peroxide vapor, methyl bromide, and ethylene oxide gas. This project investigated the effects of gamma irradiation, which has also been shown to be an effective decontamination method for biological agents, on the surrogate test materials.

Combining qualitative and quantitative operational research methods to inform quality improvement in pathways that span multiple settings.

PubMed

Crowe, Sonya; Brown, Katherine; Tregay, Jenifer; Wray, Jo; Knowles, Rachel; Ridout, Deborah A; Bull, Catherine; Utley, Martin

2017-08-01

Improving integration and continuity of care across sectors within resource constraints is a priority in many health systems. Qualitative operational research methods of problem structuring have been used to address quality improvement in services involving multiple sectors but not in combination with quantitative operational research methods that enable targeting of interventions according to patient risk. We aimed to combine these methods to augment and inform an improvement initiative concerning infants with congenital heart disease (CHD) whose complex care pathway spans multiple sectors. Soft systems methodology was used to consider systematically changes to services from the perspectives of community, primary, secondary and tertiary care professionals and a patient group, incorporating relevant evidence. Classification and regression tree (CART) analysis of national audit datasets was conducted along with data visualisation designed to inform service improvement within the context of limited resources. A 'Rich Picture' was developed capturing the main features of services for infants with CHD pertinent to service improvement. This was used, along with a graphical summary of the CART analysis, to guide discussions about targeting interventions at specific patient risk groups. Agreement was reached across representatives of relevant health professions and patients on a coherent set of targeted recommendations for quality improvement. These fed into national decisions about service provision and commissioning. When tackling complex problems in service provision across multiple settings, it is important to acknowledge and work with multiple perspectives systematically and to consider targeting service improvements in response to confined resources. Our research demonstrates that applying a combination of qualitative and quantitative operational research methods is one approach to doing so that warrants further consideration. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

A social ecological approach to investigating relationships between housing and adaptive functioning for persons with serious mental illness.

PubMed

Kloos, Bret; Shah, Seema

2009-12-01

This paper seeks to advance mental health-housing research regarding which factors of housing and neighborhood environments are critical for adaptive functioning, health, and recovery for persons with serious mental illness (SMI). Housing and neighborhood environments are particularly important for persons with SMI because of the prevalence of poor housing conditions among this population. Most mental health-housing research has been limited by a focus on problems in environments and functioning. The paper seeks to expand the mental health-housing research agenda to consider protective factors that promote community integration and adaptive functioning. We provide an account of how social ecology theory transformed a research program, from examining individual risk factors to investigating the functioning of persons in the contexts of their housing and neighborhood experiences. The resulting housing environment framework-physical aspects of housing and neighborhoods, social environment of neighborhoods, and interpersonal relationships tied to housing-allows for identification of opportunities for health promotion and facilitation of participation in community-based settings. This program of research draws upon several methods to understand the social experience of persons with SMI living in community settings-survey research, qualitative interviews, Geographic Information Systems, participatory research, and visual ethnography. In this paper, we present how social ecology theory was instrumental in the development of new housing environment measures, the selection of appropriate research methods, and framing research questions that are building a new empirical base of knowledge about promoting adaptive functioning, health, and recovery for persons with SMI living in community settings.

Doing Interdisciplinary Mixed Methods Health Care Research: Working the Boundaries, Tensions, and Synergistic Potential of Team-Based Research.

PubMed

Hesse-Biber, Sharlene

2016-04-01

Current trends in health care research point to a shift from disciplinary models to interdisciplinary team-based mixed methods inquiry designs. This keynote address discusses the problems and prospects of creating vibrant mixed methods health care interdisciplinary research teams that can harness their potential synergy that holds the promise of addressing complex health care issues. We examine the range of factors and issues these types of research teams need to consider to facilitate efficient interdisciplinary mixed methods team-based research. It is argued that concepts such as disciplinary comfort zones, a lack of attention to team dynamics, and low levels of reflexivity among interdisciplinary team members can inhibit the effectiveness of a research team. This keynote suggests a set of effective strategies to address the issues that emanate from the new field of research inquiry known as team science as well as lessons learned from tapping into research on organizational dynamics. © The Author(s) 2016.

Future methods in pharmacy practice research.

PubMed

Almarsdottir, A B; Babar, Z U D

2016-06-01

This article describes the current and future practice of pharmacy scenario underpinning and guiding this research and then suggests future directions and strategies for such research. First, it sets the scene by discussing the key drivers which could influence the change in pharmacy practice research. These are demographics, technology and professional standards. Second, deriving from this, it seeks to predict and forecast the future shifts in use of methodologies. Third, new research areas and availability of data impacting on future methods are discussed. These include the impact of aging information technology users on healthcare, understanding and responding to cultural and social disparities, implementing multidisciplinary initiatives to improve health care, medicines optimization and predictive risk analysis, and pharmacy as business and health care institution. Finally, implications of the trends for pharmacy practice research methods are discussed.

Contextual Exploration of a New Family Caregiver Support Concept for Geriatric Settings Using a Participatory Health Research Strategy.

PubMed

Dorant, Elisabeth; Krieger, Theresia

2017-11-28

Family caregivers are the backbone of the long-term care support system within the home environment. Comprehensive caregiver support programs require collaboration and coordination within the system. A new public health concept, Vade Mecum, aims to harmonize and professionalize family caregiver support initiatives in geriatric care settings in the Euregion Maas-Rhine. Exploration of the new concept recently started in Germany to gain in-depth insight into current support and the needs of the geriatric care team and family caregivers. Within the context of an exploratory qualitative study, a participatory health research (PHR) strategy was applied to make optimal use of experience and knowledge from the system. Care professionals, engaged as co-researchers, were responsible for decisions about the research question, data collection methods and procedures of engaging family caregivers. A research team representing all professions within the geriatric department was formed. Research objectives were formulated and an appropriate mix of qualitative data collection methods consisting of interviews, focus groups and story-telling was chosen. Needs and expectations of the new concept, and practical solutions for involving family caregivers were discussed. A PHR strategy resulted in initiating a qualitative study in a geriatric care setting carried out by care professionals from the department. Knowledge was generated in a co-creative manner, and co-researchers were empowered. A comprehensive understanding of the system serves as a starting point for advancement of the new family caregiver concept.

Development and Implementation of Culturally Tailored Offline Mobile Health Surveys.

PubMed

McIntosh, Scott; Pérez-Ramos, José; Demment, Margaret M; Vélez Vega, Carmen; Avendaño, Esteban; Ossip, Deborah J; Dye, Timothy D

2016-06-02

In low and middle income countries (LMICs), and other areas with low resources and unreliable access to the Internet, understanding the emerging best practices for the implementation of new mobile health (mHealth) technologies is needed for efficient and secure data management and for informing public health researchers. Innovations in mHealth technology can improve on previous methods, and dissemination of project development details and lessons learned during implementation are needed to provide lessons learned to stakeholders in both the United States and LMIC settings. The aims of this paper are to share implementation strategies and lessons learned from the development and implementation stages of two survey research projects using offline mobile technology, and to inform and prepare public health researchers and practitioners to implement new mobile technologies in survey research projects in LMICs. In 2015, two survey research projects were developed and piloted in Puerto Rico and pre-tested in Costa Rica to collect face-to-face data, get formative evaluation feedback, and to test the feasibility of an offline mobile data collection process. Fieldwork in each setting involved survey development, back translation with cultural tailoring, ethical review and approvals, data collector training, and piloting survey implementation on mobile tablets. Critical processes and workflows for survey research projects in low resource settings were identified and implemented. This included developing a secure mobile data platform tailored to each survey, establishing user accessibility, and training and eliciting feedback from data collectors and on-site LMIC project partners. Formative and process evaluation strategies are necessary and useful for the development and implementation of survey research projects using emerging mHealth technologies in LMICs and other low resource settings. Lessons learned include: (1) plan institutional review board (IRB) approvals in multiple countries carefully to allow for development, implementation, and feedback, (2) in addition to testing the content of survey instruments, allow time and consideration for testing the use of novel mHealth technology (hardware and software), (3) incorporate training for and feedback from project staff, LMIC partner staff, and research participants, and (4) change methods accordingly, including content, as mHealth technology usage influences and is influenced by the content and structure of the survey instrument. Lessons learned from early phases of LMIC research projects using emerging mHealth technologies are critical for informing subsequent research methods and study designs.

Setting research priorities to improve global newborn health and prevent stillbirths by 2025

PubMed Central

Yoshida, Sachiyo; Martines, José; Lawn, Joy E; Wall, Stephen; Souza, Joăo Paulo; Rudan, Igor; Cousens, Simon; Aaby, Peter; Adam, Ishag; Adhikari, Ramesh Kant; Ambalavanan, Namasivayam; Arifeen, Shams EI; Aryal, Dhana Raj; Asiruddin, Sk; Baqui, Abdullah; Barros, Aluisio JD; Benn, Christine S; Bhandari, Vineet; Bhatnagar, Shinjini; Bhattacharya, Sohinee; Bhutta, Zulfiqar A; Black, Robert E; Blencowe, Hannah; Bose, Carl; Brown, Justin; Bührer, Christoph; Carlo, Wally; Cecatti, Jose Guilherme; Cheung, Po–Yin; Clark, Robert; Colbourn, Tim; Conde–Agudelo, Agustin; Corbett, Erica; Czeizel, Andrew E; Das, Abhik; Day, Louise Tina; Deal, Carolyn; Deorari, Ashok; Dilmen, Uğur; English, Mike; Engmann, Cyril; Esamai, Fabian; Fall, Caroline; Ferriero, Donna M; Gisore, Peter; Hazir, Tabish; Higgins, Rosemary D; Homer, Caroline SE; Hoque, DE; Irgens, Lorentz; Islam, MT; de Graft–Johnson, Joseph; Joshua, Martias Alice; Keenan, William; Khatoon, Soofia; Kieler, Helle; Kramer, Michael S; Lackritz, Eve M; Lavender, Tina; Lawintono, Laurensia; Luhanga, Richard; Marsh, David; McMillan, Douglas; McNamara, Patrick J; Mol, Ben Willem J; Molyneux, Elizabeth; Mukasa, G. K; Mutabazi, Miriam; Nacul, Luis Carlos; Nakakeeto, Margaret; Narayanan, Indira; Olusanya, Bolajoko; Osrin, David; Paul, Vinod; Poets, Christian; Reddy, Uma M; Santosham, Mathuram; Sayed, Rubayet; Schlabritz–Loutsevitch, Natalia E; Singhal, Nalini; Smith, Mary Alice; Smith, Peter G; Soofi, Sajid; Spong, Catherine Y; Sultana, Shahin; Tshefu, Antoinette; van Bel, Frank; Gray, Lauren Vestewig; Waiswa, Peter; Wang, Wei; Williams, Sarah LA; Wright, Linda; Zaidi, Anita; Zhang, Yanfeng; Zhong, Nanbert; Zuniga, Isabel; Bahl, Rajiv

2016-01-01

Background In 2013, an estimated 2.8 million newborns died and 2.7 million were stillborn. A much greater number suffer from long term impairment associated with preterm birth, intrauterine growth restriction, congenital anomalies, and perinatal or infectious causes. With the approaching deadline for the achievement of the Millennium Development Goals (MDGs) in 2015, there was a need to set the new research priorities on newborns and stillbirth with a focus not only on survival but also on health, growth and development. We therefore carried out a systematic exercise to set newborn health research priorities for 2013–2025. Methods We used adapted Child Health and Nutrition Research Initiative (CHNRI) methods for this prioritization exercise. We identified and approached the 200 most productive researchers and 400 program experts, and 132 of them submitted research questions online. These were collated into a set of 205 research questions, sent for scoring to the 600 identified experts, and were assessed and scored by 91 experts. Results Nine out of top ten identified priorities were in the domain of research on improving delivery of known interventions, with simplified neonatal resuscitation program and clinical algorithms and improved skills of community health workers leading the list. The top 10 priorities in the domain of development were led by ideas on improved Kangaroo Mother Care at community level, how to improve the accuracy of diagnosis by community health workers, and perinatal audits. The 10 leading priorities for discovery research focused on stable surfactant with novel modes of administration for preterm babies, ability to diagnose fetal distress and novel tocolytic agents to delay or stop preterm labour. Conclusion These findings will assist both donors and researchers in supporting and conducting research to close the knowledge gaps for reducing neonatal mortality, morbidity and long term impairment. WHO, SNL and other partners will work to generate interest among key national stakeholders, governments, NGOs, and research institutes in these priorities, while encouraging research funders to support them. We will track research funding, relevant requests for proposals and trial registers to monitor if the priorities identified by this exercise are being addressed. PMID:26401272

Setting research priorities to improve the health of children and young people with neurodisability: a British Academy of Childhood Disability-James Lind Alliance Research Priority Setting Partnership

PubMed Central

Morris, Christopher; Simkiss, Doug; Busk, Mary; Morris, Maureen; Allard, Amanda; Denness, Jacob; Janssens, Astrid; Stimson, Anna; Coghill, Joanna; Robinson, Kelly; Fenton, Mark; Cowan, Katherine

2015-01-01

Objectives To engage young people, parent carers and clinicians in a systematic process to identify and prioritise research questions regarding ways to improve the health and well-being of children and young people with neurodisability. Design British Academy of Childhood Disability (BACD)-James Lind Alliance research priority setting partnership bringing together patients, carers and clinicians as equal stakeholders. Setting UK health service and community. Methods The BACD Strategic Research Group formed the partnership. A Steering Group was established; charity and professional partner organisations were recruited. Suggestions were gathered in an open survey and from research recommendations for statutory guidance. Items were aggregated to formulate indicative research questions and verified as uncertainties from research evidence. An interim survey was used to rank the questions to shortlist topics. A mixed group of stakeholders discussed the top 25 questions at the final priority setting workshop agreeing a final rank order and the top 10 research priorities. Participants Partner organisations were 13 charities and 8 professional societies. 369 people submitted suggestions (40% non-clinicians). 76 people participated in the interim prioritisation (26 parents, 1 young person, 10 charity representatives, 39 clinicians); 22 took part in the final workshop (3 young people, 7 parents, 3 charity representatives, 9 professionals). Results The top three research priorities related to (1) establishing the optimal frequency and intensity (dose) for mainstream therapies, (2) means for selecting and encouraging use of communication strategies and (3) ways to improve children's attitudes towards disability. The top 10 included evaluating interventions to promote mobility, self-efficacy, mental health, continence, physical fitness, educational inclusion and reduce impacts of sleep disturbance. Conclusions The methodology provided a systematic and transparent process to identify research priorities that included stakeholders that have typically not contributed to setting the research agenda. The top 10 and other topics identified provide a resource for researchers and agencies that fund research PMID:25631309

Application of mixed-methods design in community-engaged research: Lessons learned from an evidence-based intervention for Latinos with chronic illness and minor depression.

PubMed

Aguado Loi, Claudia X; Alfonso, Moya L; Chan, Isabella; Anderson, Kelsey; Tyson, Dinorah Dina Martinez; Gonzales, Junius; Corvin, Jaime

2017-08-01

The purpose of this paper is to share lessons learned from a collaborative, community-informed mixed-methods approach to adapting an evidence-based intervention to meet the needs of Latinos with chronic disease and minor depression and their family members. Mixed-methods informed by community-based participatory research (CBPR) were employed to triangulate multiple stakeholders' perceptions of facilitators and barriers of implementing the adapted intervention in community settings. Community partners provided an insider perspective to overcome methodological challenges. The study's community informed mixed-methods: research approach offered advantages to a single research methodology by expanding or confirming research findings and engaging multiple stakeholders in data collection. This approach also allowed community partners to collaborate with academic partners in key research decisions. Copyright © 2016 Elsevier Ltd. All rights reserved.

A scalable kernel-based semisupervised metric learning algorithm with out-of-sample generalization ability.

PubMed

Yeung, Dit-Yan; Chang, Hong; Dai, Guang

2008-11-01

In recent years, metric learning in the semisupervised setting has aroused a lot of research interest. One type of semisupervised metric learning utilizes supervisory information in the form of pairwise similarity or dissimilarity constraints. However, most methods proposed so far are either limited to linear metric learning or unable to scale well with the data set size. In this letter, we propose a nonlinear metric learning method based on the kernel approach. By applying low-rank approximation to the kernel matrix, our method can handle significantly larger data sets. Moreover, our low-rank approximation scheme can naturally lead to out-of-sample generalization. Experiments performed on both artificial and real-world data show very promising results.

An extensible and successful method of identifying collaborators for National Library of Medicine informationist projects

PubMed Central

Williams, Jeff D.; Rambo, Neil H.

2015-01-01

Question/Purpose The New York University (NYU) Health Sciences Library used a new method to arrange in-depth discussions with basic science researchers. The objective was to identify collaborators for a new National Library of Medicine administrative supplement. Setting The research took place at the NYU Health Sciences Library. Methods Using the National Institutes of Health (NIH) RePORTER, forty-four researchers were identified and later contacted through individualized emails. Results Nine researchers responded to the email followed by six in-person or phone discussions. At the conclusion of this process, two researchers submitted applications for supplemental funding, and both of these applications were successful. Conclusions This method confirmed these users could benefit from the skills and knowledge of health sciences librarians, but they are largely unaware of this. PMID:26213507

Setting Priorities in Global Child Health Research Investments: Addressing Values of Stakeholders

PubMed Central

Kapiriri, Lydia; Tomlinson, Mark; Gibson, Jennifer; Chopra, Mickey; El Arifeen, Shams; Black, Robert E.; Rudan, Igor

2007-01-01

Aim To identify main groups of stakeholders in the process of health research priority setting and propose strategies for addressing their systems of values. Methods In three separate exercises that took place between March and June 2006 we interviewed three different groups of stakeholders: 1) members of the global research priority setting network; 2) a diverse group of national-level stakeholders from South Africa; and 3) participants at the conference related to international child health held in Washington, DC, USA. Each of the groups was administered different version of the questionnaire in which they were asked to set weights to criteria (and also minimum required thresholds, where applicable) that were a priori defined as relevant to health research priority setting by the consultants of the Child Health and Nutrition Research initiative (CHNRI). Results At the global level, the wide and diverse group of respondents placed the greatest importance (weight) to the criterion of maximum potential for disease burden reduction, while the most stringent threshold was placed on the criterion of answerability in an ethical way. Among the stakeholders’ representatives attending the international conference, the criterion of deliverability, answerability, and sustainability of health research results was proposed as the most important one. At the national level in South Africa, the greatest weight was placed on the criterion addressing the predicted impact on equity of the proposed health research. Conclusions Involving a large group of stakeholders when setting priorities in health research investments is important because the criteria of relevance to scientists and technical experts, whose knowledge and technical expertise is usually central to the process, may not be appropriate to specific contexts and in accordance with the views and values of those who invest in health research, those who benefit from it, or wider society as a whole. PMID:17948948

Implementing the CASPiE course-based research experience at the United States Military Academy: Affective responses and effects on critical thinking

NASA Astrophysics Data System (ADS)

Chase, Anthony Michael

The Center for Authentic Science Practices in Education (CASPiE) pioneered a course-based research experience approach to teaching chemistry laboratory courses. The method had previously been studied in a variety of institutional settings. Recently, the United States Military Academy at West Point decided to develop CASPiE-style modules for the introductory honors chemistry course. This research setting presents clean experimental-control comparisons and a group of faculty who were completely new to the method. Equipping students with authentic research experiences early in their education is important regardless of the institution. However, cadets at a military academy must make decisions relatively early (the outset of their second year) as to what their career trajectory will be as eventual officers. In the new CASPiE-based experience, cadets are given the opportunity to select from one of three different modules (analytical chemistry, toxicology, and chemical engineering) in which to participate during the course. These three modules represent subsections of an overall Army waste-to-energy research project. Cadets generate unique hypotheses, real data, and research posters towards the advancement of the project. Posters are then presented in a session. that includes an audience of project stakeholders, course instructors, and other academy faculty and staff. Here, I will present my research methods, evaluative procedures, and findings in the affective domain, critical thinking, and laboratory content comprehension.

The Capability Approach: A Critical Review of Its Application in Health Economics.

PubMed

Karimi, Milad; Brazier, John; Basarir, Hasan

The capability approach is an approach to assessing well-being developed by Amartya Sen. Interest in this approach has resulted in several attempts to develop questionnaires to measure and value capability at an individual level in health economics. This commentary critically reviews the ability of these questionnaires to measure and value capability. It is argued that the method used in the questionnaires to measure capability will result in a capability set that is an inaccurate description of the individual's true capability set. The measured capability set will either represent only one combination and ignore the value of choice in the capability set, or represent one combination that is not actually achievable by the individual. In addition, existing methods of valuing capability may be inadequate because they do not consider that capability is a set. It may be practically more feasible to measure and value capability approximately rather than directly. Suggestions are made on how to measure and value an approximation to capability, but further research is required to implement the suggestions. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Straightening the Hierarchical Staircase for Basis Set Extrapolations: A Low-Cost Approach to High-Accuracy Computational Chemistry

NASA Astrophysics Data System (ADS)

Varandas, António J. C.

2018-04-01

Because the one-electron basis set limit is difficult to reach in correlated post-Hartree-Fock ab initio calculations, the low-cost route of using methods that extrapolate to the estimated basis set limit attracts immediate interest. The situation is somewhat more satisfactory at the Hartree-Fock level because numerical calculation of the energy is often affordable at nearly converged basis set levels. Still, extrapolation schemes for the Hartree-Fock energy are addressed here, although the focus is on the more slowly convergent and computationally demanding correlation energy. Because they are frequently based on the gold-standard coupled-cluster theory with single, double, and perturbative triple excitations [CCSD(T)], correlated calculations are often affordable only with the smallest basis sets, and hence single-level extrapolations from one raw energy could attain maximum usefulness. This possibility is examined. Whenever possible, this review uses raw data from second-order Møller-Plesset perturbation theory, as well as CCSD, CCSD(T), and multireference configuration interaction methods. Inescapably, the emphasis is on work done by the author's research group. Certain issues in need of further research or review are pinpointed.

Overcoming the Challenges Inherent in Conducting Design Research in Mental Health Settings: Lessons from St. Joseph's Healthcare, Hamilton's Pre and Post-Occupancy Evaluation.

PubMed

Ahern, Catherine; McKinnon, Margaret C; Bieling, Peter J; McNeely, Heather; Langstaff, Karen

2016-01-01

Conducting high-quality design research in a mental health setting presents significant challenges, limiting the availability of high-quality evidence to support design decisions for built environments. Here, we outline key approaches to overcoming these challenges. In conducting a rigorous post-occupancy evaluation of a newly built mental health and addictions facility, St. Joseph's Healthcare, Hamilton, we identified a number of systematic barriers associated with conducting design research in mental health settings. Our approach to overcoming these barriers relied heavily upon (i) selecting established measures and methods with demonstrated efficacy in a mental health context, (ii) navigating institutional protocols designed to protect vulnerable members of this population, and (iii) designing innovative data collection strategies to increase participation in research by individuals with mental illness. Each of these approaches drew heavily on the expert knowledge of mental health settings and the experiences with mental health, facilities management, and research of a research team that was well integrated within the parent institution. Engaging multiple stakeholders (e.g., care providers, patients, ethics board, and hospital administrators) contributed their trust and support of the research. Traditionally, post-occupancy evaluation researchers are independent of the facilities they research, yet this is not an effective approach in mental health settings. We found that, in working toward solutions to the three obstacles we described, having team members who were well "networked" within the parent institution was necessary. This approach can turn "gatekeepers" into champions for patients' engagement in the research, which is essential in generating high-quality evidence. © The Author(s) 2015.

Setting priorities for space research: An experiment in methodology

NASA Technical Reports Server (NTRS)

1995-01-01

In 1989, the Space Studies Board created the Task Group on Priorities in Space Research to determine whether scientists should take a role in recommending priorities for long-term space research initiatives and, if so, to analyze the priority-setting problem in this context and develop a method by which such priorities could be established. After answering the first question in the affirmative in a previous report, the task group set out to accomplish the second task. The basic assumption in developing a priority-setting process is that a reasoned and structured approach for ordering competing initiatives will yield better results than other ways of proceeding. The task group proceeded from the principle that the central criterion for evaluating a research initiative must be its scientific merit -- the value of the initiative to the proposing discipline and to science generally. The group developed a two-stage methodology for priority setting and constructed a procedure and format to support the methodology. The first of two instruments developed was a standard format for structuring proposals for space research initiatives. The second instrument was a formal, semiquantitative appraisal procedure for evaluating competing proposals. This report makes available complete templates for the methodology, including the advocacy statement and evaluation forms, as well as an 11-step schema for a priority-setting process. From the beginning of its work, the task group was mindful that the issue of priority setting increasingly pervades all of federally supported science and that its work would have implications extending beyond space research. Thus, although the present report makes no recommendations for action by NASA or other government agencies, it provides the results of the task group's work for the use of others who may study priority-setting procedures or take up the challenge of implementing them in the future.

Effect of missing data on multitask prediction methods.

PubMed

de la Vega de León, Antonio; Chen, Beining; Gillet, Valerie J

2018-05-22

There has been a growing interest in multitask prediction in chemoinformatics, helped by the increasing use of deep neural networks in this field. This technique is applied to multitarget data sets, where compounds have been tested against different targets, with the aim of developing models to predict a profile of biological activities for a given compound. However, multitarget data sets tend to be sparse; i.e., not all compound-target combinations have experimental values. There has been little research on the effect of missing data on the performance of multitask methods. We have used two complete data sets to simulate sparseness by removing data from the training set. Different models to remove the data were compared. These sparse sets were used to train two different multitask methods, deep neural networks and Macau, which is a Bayesian probabilistic matrix factorization technique. Results from both methods were remarkably similar and showed that the performance decrease because of missing data is at first small before accelerating after large amounts of data are removed. This work provides a first approximation to assess how much data is required to produce good performance in multitask prediction exercises.

Bias-Free Chemically Diverse Test Sets from Machine Learning.

PubMed

Swann, Ellen T; Fernandez, Michael; Coote, Michelle L; Barnard, Amanda S

2017-08-14

Current benchmarking methods in quantum chemistry rely on databases that are built using a chemist's intuition. It is not fully understood how diverse or representative these databases truly are. Multivariate statistical techniques like archetypal analysis and K-means clustering have previously been used to summarize large sets of nanoparticles however molecules are more diverse and not as easily characterized by descriptors. In this work, we compare three sets of descriptors based on the one-, two-, and three-dimensional structure of a molecule. Using data from the NIST Computational Chemistry Comparison and Benchmark Database and machine learning techniques, we demonstrate the functional relationship between these structural descriptors and the electronic energy of molecules. Archetypes and prototypes found with topological or Coulomb matrix descriptors can be used to identify smaller, statistically significant test sets that better capture the diversity of chemical space. We apply this same method to find a diverse subset of organic molecules to demonstrate how the methods can easily be reapplied to individual research projects. Finally, we use our bias-free test sets to assess the performance of density functional theory and quantum Monte Carlo methods.

Visualizing the deep end of sound: plotting multi-parameter results from infrasound data analysis

NASA Astrophysics Data System (ADS)

Perttu, A. B.; Taisne, B.

2016-12-01

Infrasound is sound below the threshold of human hearing: approximately 20 Hz. The field of infrasound research, like other waveform based fields relies on several standard processing methods and data visualizations, including waveform plots and spectrograms. The installation of the International Monitoring System (IMS) global network of infrasound arrays, contributed to the resurgence of infrasound research. Array processing is an important method used in infrasound research, however, this method produces data sets with a large number of parameters, and requires innovative plotting techniques. The goal in designing new figures is to be able to present easily comprehendible, and information-rich plots by careful selection of data density and plotting methods.

Situating methodology within qualitative research.

PubMed

Kramer-Kile, Marnie L

2012-01-01

Qualitative nurse researchers are required to make deliberate and sometimes complex methodological decisions about their work. Methodology in qualitative research is a comprehensive approach in which theory (ideas) and method (doing) are brought into close alignment. It can be difficult, at times, to understand the concept of methodology. The purpose of this research column is to: (1) define qualitative methodology; (2) illuminate the relationship between epistemology, ontology and methodology; (3) explicate the connection between theory and method in qualitative research design; and 4) highlight relevant examples of methodological decisions made within cardiovascular nursing research. Although there is no "one set way" to do qualitative research, all qualitative researchers should account for the choices they make throughout the research process and articulate their methodological decision-making along the way.

Transdisciplinary Research on Cancer-Healing Systems Between Biomedicine and the Maya of Guatemala: A Tool for Reciprocal Reflexivity in a Multi-Epistemological Setting.

PubMed

Berger-González, Mónica; Stauffacher, Michael; Zinsstag, Jakob; Edwards, Peter; Krütli, Pius

2016-01-01

Transdisciplinarity (TD) is a participatory research approach in which actors from science and society work closely together. It offers means for promoting knowledge integration and finding solutions to complex societal problems, and can be applied within a multiplicity of epistemic systems. We conducted a TD process from 2011 to 2014 between indigenous Mayan medical specialists from Guatemala and Western biomedical physicians and scientists to study cancer. Given the immense cultural gap between the partners, it was necessary to develop new methods to overcome biases induced by ethnocentric behaviors and power differentials. This article describes this intercultural cooperation and presents a method of reciprocal reflexivity (Bidirectional Emic-Etic tool) developed to overcome them. As a result of application, researchers observed successful knowledge integration at the epistemic level, the social-organizational level, and the communicative level throughout the study. This approach may prove beneficial to others engaged in facilitating participatory health research in complex intercultural settings. © The Author(s) 2015.

Developing, implementing and disseminating a core outcome set for neonatal medicine.

PubMed

Webbe, James; Brunton, Ginny; Ali, Shohaib; Duffy, James Mn; Modi, Neena; Gale, Chris

2017-01-01

In high resource settings, 1 in 10 newborn babies require admission to a neonatal unit. Research evaluating neonatal care involves recording and reporting many different outcomes and outcome measures. Such variation limits the usefulness of research as studies cannot be compared or combined. To address these limitations, we aim to develop, disseminate and implement a core outcome set for neonatal medicine. A steering group that includes parents and former patients, healthcare professionals and researchers has been formed to guide the development of the core outcome set. We will review neonatal trials systematically to identify previously reported outcomes. Additionally, we will specifically identify outcomes of importance to parents, former patients and healthcare professionals through a systematic review of qualitative studies. Outcomes identified will be entered into an international, multi-perspective eDelphi survey. All key stakeholders will be invited to participate. The Delphi method will encourage individual and group stakeholder consensus to identify a core outcome set. The core outcome set will be mapped to existing, routinely recorded data where these exist. Use of a core set will ensure outcomes of importance to key stakeholders, including former patients and parents, are recorded and reported in a standard fashion in future research. Embedding the core outcome set within future clinical studies will extend the usefulness of research to inform practice, enhance patient care and ultimately improve outcomes. Using routinely recorded electronic data will facilitate implementation with minimal addition burden. Core Outcome Measures in Effectiveness Trials (COMET) database: 842 (www.comet-initiative.org/studies/details/842).

Possibilities of the Integration of the Method of the Ecologically Oriented Independent Scientific Research in the Study Process

NASA Astrophysics Data System (ADS)

Grizans, Jurijs; Vanags, Janis

2010-01-01

The aim of this paper is to analyse possibilities of the integration of the method of the ecologically oriented independent scientific research in the study process. In order to achieve the set aim, the following scientific research methods were used: analysis of the conceptual guidelines for the development of environmentally oriented entrepreneurship, interpretation of the experts' evaluation of the ecologically oriented management, analysis of the results of the students' ecologically oriented independent scientific research, as well as monographic and logically constructive methods. The results of the study give an opportunity to make conclusions and to develop conceptual recommendations on how to introduce future economics and business professionals with the theoretical and practical aspects of ecologically oriented management during the study process.

Integrating Primary Sources, Artifacts, and Museum Visits into the Primary Years Program Inquiry Curriculum in an International Baccalaureate Elementary Setting

ERIC Educational Resources Information Center

Coppersmith, Sarah A.; Song, Kim H.

2017-01-01

Questions remain about inquiry instruction, while research confirms that using primary sources can aid students' inquiry learning processes. This study questioned: "How do second-grade teachers at an International Baccalaureate Organization/IBO language immersion setting incorporate inquiry methods in instructional practices?"; "How…

Child Emotional Aggression and Abuse: Definitions and Prevalence

ERIC Educational Resources Information Center

Slep, Amy M. Smith; Heyman, Richard E.; Snarr, Jeffery D.

2011-01-01

Objective: Research on and intervention for child emotional abuse and emotional aggression toward children have been severely hampered because there have been no agreed-upon, clinically usable definitions. Methods: We have (a) proposed and field-tested a set of criteria to operationally define child emotional abuse for clinical settings and (b)…

Aggregation Bias and the Analysis of Necessary and Sufficient Conditions in fsQCA

ERIC Educational Resources Information Center

Braumoeller, Bear F.

2017-01-01

Fuzzy-set qualitative comparative analysis (fsQCA) has become one of the most prominent methods in the social sciences for capturing causal complexity, especially for scholars with small- and medium-"N" data sets. This research note explores two key assumptions in fsQCA's methodology for testing for necessary and sufficient…

A Tale of 2 Teachers: A Preschool Physical Activity Intervention Case Study

ERIC Educational Resources Information Center

Howie, Erin K.; Brewer, Alisa E.; Dowda, Marsha; McIver, Kerry L.; Saunders, Ruth P.; Pate, Russell R.

2016-01-01

Background: Preschool settings vary greatly, and research has shown that interventions are more successful when they can be adapted to individual settings. This is a descriptive case study of how 2 teachers successfully adapted and implemented a preschool physical activity intervention. Methods: The Study of Health and Activity in Preschool…

A Mixed-Methods Study Examining the Role of the Instructional Coach within a Professional Learning Community

ERIC Educational Resources Information Center

Jorgensen, Christie L.

2016-01-01

Although instructional coaching and professional learning communities provide ongoing, job-embedded support and professional learning, little is known about what role the instructional coach serves within the setting of the professional learning community or what coaching skills teachers find most helpful within this setting. Research examining…

Use of simulated data sets to evaluate the fidelity of metagenomic processing methods

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

Mavromatis, K; Ivanova, N; Barry, Kerrie

2007-01-01

Metagenomics is a rapidly emerging field of research for studying microbial communities. To evaluate methods presently used to process metagenomic sequences, we constructed three simulated data sets of varying complexity by combining sequencing reads randomly selected from 113 isolate genomes. These data sets were designed to model real metagenomes in terms of complexity and phylogenetic composition. We assembled sampled reads using three commonly used genome assemblers (Phrap, Arachne and JAZZ), and predicted genes using two popular gene-finding pipelines (fgenesb and CRITICA/GLIMMER). The phylogenetic origins of the assembled contigs were predicted using one sequence similarity-based ( blast hit distribution) and twomore » sequence composition-based (PhyloPythia, oligonucleotide frequencies) binning methods. We explored the effects of the simulated community structure and method combinations on the fidelity of each processing step by comparison to the corresponding isolate genomes. The simulated data sets are available online to facilitate standardized benchmarking of tools for metagenomic analysis.« less

Use of simulated data sets to evaluate the fidelity of Metagenomicprocessing methods

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

Mavromatis, Konstantinos; Ivanova, Natalia; Barry, Kerri

2006-12-01

Metagenomics is a rapidly emerging field of research for studying microbial communities. To evaluate methods presently used to process metagenomic sequences, we constructed three simulated data sets of varying complexity by combining sequencing reads randomly selected from 113 isolate genomes. These data sets were designed to model real metagenomes in terms of complexity and phylogenetic composition. We assembled sampled reads using three commonly used genome assemblers (Phrap, Arachne and JAZZ), and predicted genes using two popular gene finding pipelines (fgenesb and CRITICA/GLIMMER). The phylogenetic origins of the assembled contigs were predicted using one sequence similarity--based (blast hit distribution) and twomore » sequence composition--based (PhyloPythia, oligonucleotide frequencies) binning methods. We explored the effects of the simulated community structure and method combinations on the fidelity of each processing step by comparison to the corresponding isolate genomes. The simulated data sets are available online to facilitate standardized benchmarking of tools for metagenomic analysis.« less

Design and implementation of fuzzy logic controllers. Thesis Final Report, 27 Jul. 1992 - 1 Jan. 1993

NASA Technical Reports Server (NTRS)

Abihana, Osama A.; Gonzalez, Oscar R.

1993-01-01

The main objectives of our research are to present a self-contained overview of fuzzy sets and fuzzy logic, develop a methodology for control system design using fuzzy logic controllers, and to design and implement a fuzzy logic controller for a real system. We first present the fundamental concepts of fuzzy sets and fuzzy logic. Fuzzy sets and basic fuzzy operations are defined. In addition, for control systems, it is important to understand the concepts of linguistic values, term sets, fuzzy rule base, inference methods, and defuzzification methods. Second, we introduce a four-step fuzzy logic control system design procedure. The design procedure is illustrated via four examples, showing the capabilities and robustness of fuzzy logic control systems. This is followed by a tuning procedure that we developed from our design experience. Third, we present two Lyapunov based techniques for stability analysis. Finally, we present our design and implementation of a fuzzy logic controller for a linear actuator to be used to control the direction of the Free Flight Rotorcraft Research Vehicle at LaRC.

Considering Actionability at the Participant's Research Setting Level for Anticipatable Incidental Findings from Clinical Research.

PubMed

Ortiz-Osorno, Alberto Betto; Ehler, Linda A; Brooks, Judith

2015-01-01

Determining what constitutes an anticipatable incidental finding (IF) from clinical research and defining whether, and when, this IF should be returned to the participant have been topics of discussion in the field of human subject protections for the last 10 years. It has been debated that implementing a comprehensive IF-approach that addresses both the responsibility of researchers to return IFs and the expectation of participants to receive them can be logistically challenging. IFs have been debated at different levels, such as the ethical reasoning for considering their disclosure or the need for planning for them during the development of the research study. Some authors have discussed the methods for re-contacting participants for disclosing IFs, as well as the relevance of considering the clinical importance of the IFs. Similarly, other authors have debated about when IFs should be disclosed to participants. However, no author has addressed how the "actionability" of the IFs should be considered, evaluated, or characterized at the participant's research setting level. This paper defines the concept of "Actionability at the Participant's Research Setting Level" (APRSL) for anticipatable IFs from clinical research, discusses some related ethical concepts to justify the APRSL concept, proposes a strategy to incorporate APRSL into the planning and management of IFs, and suggests a strategy for integrating APRSL at each local research setting. © 2015 American Society of Law, Medicine & Ethics, Inc.

Analyzing Empirical Evaluations of Non-Experimental Methods in Field Settings

ERIC Educational Resources Information Center

Steiner, Peter M.; Wong, Vivian

2016-01-01

Despite recent emphasis on the use of randomized control trials (RCTs) for evaluating education interventions, in most areas of education research, observational methods remain the dominant approach for assessing program effects. Over the last three decades, the within-study comparison (WSC) design has emerged as a method for evaluating the…

A Methodological Review of Statistical Methods for Handling Multilevel Non-Nested Longitudinal Data in Educational Research

ERIC Educational Resources Information Center

Sun, Shuyan; Pan, Wei

2014-01-01

As applications of multilevel modelling in educational research increase, researchers realize that multilevel data collected in many educational settings are often not purely nested. The most common multilevel non-nested data structure is one that involves student mobility in longitudinal studies. This article provides a methodological review of…

Integrated but Not Included: Exploring Quiet Disaffection in Mainstream Schools in China and India

ERIC Educational Resources Information Center

Yan, Feng; Jament, Johnson

2008-01-01

This paper quotes the qualitative data from one author's recent research (Feng, 2006, 2007) in China and the other author's ongoing PhD research in India. Both studies used multi-methods of data collection in mainstream school settings. This paper discusses the relatively under-researched topic of "quiet disaffection" of pupils with…

Parental Choice of Infant Feeding Behaviours in South West Sydney: A Preliminary Investigation

ERIC Educational Resources Information Center

Arora, A.; Gay, M.; Thirukumar, D.

2012-01-01

Objective: The purpose of this study was to test a research instrument that could possibly be used for longitudinal research on infant feeding and to report on the preliminary results from the data collected. Design: Mixed methods approach--cross-sectional survey and qualitative research. Setting: Mother-infant dyads in South West Sydney,…

Grounding Leadership Theory and Research: Issues, Perspectives, and Methods. Leadership Horizons Series.

ERIC Educational Resources Information Center

Parry, Ken W., Ed.; Meindl, James R., Ed.

This book is a collection of 11 essays about research into the phenomena of leadership and other social processes of influence in organizations. After a context-setting introduction by Ken W. Perry and James R. Meindl, the main text includes the following essays: (1) "Salient Bias in Discussion and Research on Leadership" (Micha Popper);…

77 FR 41755 - Takes of Marine Mammals Incidental to Specified Activities; Three Marine Geophysical Surveys in...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-16

... subsistence uses (where relevant). The authorization must set forth the permissible methods of taking; other...,'' prepared by LGL Limited Environmental Research Associates, on behalf of the Foundation. We also issued a..., with research funding from the Foundation, plans to conduct three research studies on the Juan de Fuca...

A Procedure for the Analysis of Time-Series Designs

ERIC Educational Resources Information Center

Algina, James; Swaminathan, Hariharan

1977-01-01

One of the most frequently encountered problems in educational research and evaluation is that of evaluating the effect of a treatment in settings over which the researcher or evaluator has little control. A strong plea is made for use of quasi-experimental designs in these situations and this research provides a method of testing the hypothesis…

An Open Source Agenda for Research Linking Text and Image Content Features.

ERIC Educational Resources Information Center

Goodrum, Abby A.; Rorvig, Mark E.; Jeong, Ki-Tai; Suresh, Chitturi

2001-01-01

Proposes methods to utilize image primitives to support term assignment for image classification. Proposes to release code for image analysis in a common tool set for other researchers to use. Of particular focus is the expansion of work by researchers in image indexing to include image content-based feature extraction capabilities in their work.…

Futures research: A neglected dimension in environmental policy and planning

Treesearch

David N. Bengston

2012-01-01

The need for strategic foresight in an increasingly complex and rapidly changing world poses a formidable challenge to environmental planners and policy makers. Th is paper introduces futures research as an under used but fruitful set of approaches to addressing this challenge. Futures research is a transdisciplinary social science that uses a wide range of methods to...

Research Priorities for Mental Health Counseling with Youth: Implications for Counselor Preparation, Professional Development, and Research

ERIC Educational Resources Information Center

Mellin, Elizabeth A.; Pertuit, Terry L.

2009-01-01

Counselors encounter the needs of youth (3-17 years) in a variety of settings; however, outside of school counseling, the profession faces a lack of preparation, professional development, and research focused on mental health practice with youth. Using the Delphi method, 12 counselor educators and 15 practicing counselors were polled regarding…

An ontology-based method for secondary use of electronic dental record data.

PubMed

Schleyer, Titus Kl; Ruttenberg, Alan; Duncan, William; Haendel, Melissa; Torniai, Carlo; Acharya, Amit; Song, Mei; Thyvalikakath, Thankam P; Liu, Kaihong; Hernandez, Pedro

2013-01-01

A key question for healthcare is how to operationalize the vision of the Learning Healthcare System, in which electronic health record data become a continuous information source for quality assurance and research. This project presents an initial, ontology-based, method for secondary use of electronic dental record (EDR) data. We defined a set of dental clinical research questions; constructed the Oral Health and Disease Ontology (OHD); analyzed data from a commercial EDR database; and created a knowledge base, with the OHD used to represent clinical data about 4,500 patients from a single dental practice. Currently, the OHD includes 213 classes and reuses 1,658 classes from other ontologies. We have developed an initial set of SPARQL queries to allow extraction of data about patients, teeth, surfaces, restorations and findings. Further work will establish a complete, open and reproducible workflow for extracting and aggregating data from a variety of EDRs for research and quality assurance.

State-of-the-Science on Postacute Rehabilitation: Setting a Research Agenda and Developing an Evidence Base for Practice and Public Policy. An Introduction

PubMed Central

Heinemann, Allen W

2007-01-01

The Rehabilitation Research and Training Center on Measuring Rehabilitation Outcomes and Effectiveness, along with academic, professional, provider, accreditor, and other organizations, sponsored a 2-day State-of-the-Science of Postacute Rehabilitation Symposium in February 2007. The aim of this symposium was to serve as a catalyst for expanded research on postacute care (PAC) rehabilitation so that health policy is founded on a solid evidence base. The goals were to (a) describe the state of our knowledge regarding utilization, organization, and outcomes of postacute rehabilitation settings, (b) identify methodologic and measurement challenges to conducting research, (c) foster the exchange of ideas among researchers, policy makers, industry representatives, funding agency staff, consumers, and advocacy groups, and (d) identify critical questions related to setting, delivery, payment, and effectiveness of rehabilitation services. Plenary presentation and state-of-the-science summaries were organized around 4 themes: (a) the need for improved measurement of key rehabilitation variables and methods to collect and analyze this information, (b) factors that influence access to postacute rehabilitation care, (c) similarities and differences in quality and quantity of services across PAC settings, and (d) effectiveness of postacute rehabilitation services. The full set of symposium articles, including recommendations for future research, appear in Archives of Physical Medicine and Rehabilitation. PMID:18092560

Fully convolutional network with cluster for semantic segmentation

NASA Astrophysics Data System (ADS)

Ma, Xiao; Chen, Zhongbi; Zhang, Jianlin

2018-04-01

At present, image semantic segmentation technology has been an active research topic for scientists in the field of computer vision and artificial intelligence. Especially, the extensive research of deep neural network in image recognition greatly promotes the development of semantic segmentation. This paper puts forward a method based on fully convolutional network, by cluster algorithm k-means. The cluster algorithm using the image's low-level features and initializing the cluster centers by the super-pixel segmentation is proposed to correct the set of points with low reliability, which are mistakenly classified in great probability, by the set of points with high reliability in each clustering regions. This method refines the segmentation of the target contour and improves the accuracy of the image segmentation.

Specialized Finite Set Statistics (FISST)-Based Estimation Methods to Enhance Space Situational Awareness in Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO)

DTIC Science & Technology

2016-08-17

Research Laboratory AFRL /RVSV Space Vehicles Directorate 3550 Aberdeen Ave, SE 11. SPONSOR/MONITOR’S REPORT Kirtland AFB, NM 87117-5776 NUMBER(S) AFRL -RV...1 cy AFRL /RVIL Kirtland AFB, NM 87117-5776 2 cys Official Record Copy AFRL /RVSV/Richard S. Erwin 1 cy... AFRL -RV-PS- AFRL -RV-PS- TR-2016-0114 TR-2016-0114 SPECIALIZED FINITE SET STATISTICS (FISST)- BASED ESTIMATION METHODS TO ENHANCE SPACE SITUATIONAL

Improving the spectral measurement accuracy based on temperature distribution and spectra-temperature relationship

NASA Astrophysics Data System (ADS)

Li, Zhe; Feng, Jinchao; Liu, Pengyu; Sun, Zhonghua; Li, Gang; Jia, Kebin

2018-05-01

Temperature is usually considered as a fluctuation in near-infrared spectral measurement. Chemometric methods were extensively studied to correct the effect of temperature variations. However, temperature can be considered as a constructive parameter that provides detailed chemical information when systematically changed during the measurement. Our group has researched the relationship between temperature-induced spectral variation (TSVC) and normalized squared temperature. In this study, we focused on the influence of temperature distribution in calibration set. Multi-temperature calibration set selection (MTCS) method was proposed to improve the prediction accuracy by considering the temperature distribution of calibration samples. Furthermore, double-temperature calibration set selection (DTCS) method was proposed based on MTCS method and the relationship between TSVC and normalized squared temperature. We compare the prediction performance of PLS models based on random sampling method and proposed methods. The results from experimental studies showed that the prediction performance was improved by using proposed methods. Therefore, MTCS method and DTCS method will be the alternative methods to improve prediction accuracy in near-infrared spectral measurement.

Development of a core outcome set for medication review in older patients with multimorbidity and polypharmacy: a study protocol.

PubMed

Beuscart, Jean-Baptiste; Dalleur, Olivia; Boland, Benoit; Thevelin, Stefanie; Knol, Wilma; Cullinan, Shane; Schneider, Claudio; O'Mahony, Denis; Rodondi, Nicolas; Spinewine, Anne

2017-01-01

Medication review has been advocated to address the challenge of polypharmacy in older patients, yet there is no consensus on how best to evaluate its efficacy. Heterogeneity of outcomes reported in clinical trials can hinder the comparison of clinical trial findings in systematic reviews. Moreover, the outcomes that matter most to older patients might be under-reported or disregarded altogether. A core outcome set can address this issue as it defines a minimum set of outcomes that should be reported in all clinical trials in any particular field of research. As part of the European Commission-funded project, called OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly, this paper describes the methods used to develop a core outcome set for clinical trials of medication review in older patients with multimorbidity. The study was designed in several steps. First, a systematic review established which outcomes were measured in published and ongoing clinical trials of medication review in older patients. Second, we undertook semistructured interviews with older patients and carers aimed at identifying additional relevant outcomes. Then, a multilanguage European Delphi survey adapted to older patients was designed. The international Delphi survey was conducted with older patients, health care professionals, researchers, and clinical experts in geriatric pharmacotherapy to validate outcomes to be included in the core outcome set. Consensus meetings were conducted to validate the results. We present the method for developing a core outcome set for medication review in older patients with multimorbidity. This study protocol could be used as a basis to develop core outcome sets in other fields of geriatric research.

The trials methodological research agenda: results from a priority setting exercise

PubMed Central

2014-01-01

Background Research into the methods used in the design, conduct, analysis, and reporting of clinical trials is essential to ensure that effective methods are available and that clinical decisions made using results from trials are based on the best available evidence, which is reliable and robust. Methods An on-line Delphi survey of 48 UK Clinical Research Collaboration registered Clinical Trials Units (CTUs) was undertaken. During round one, CTU Directors were asked to identify important topics that require methodological research. During round two, their opinion about the level of importance of each topic was recorded, and during round three, they were asked to review the group’s average opinion and revise their previous opinion if appropriate. Direct reminders were sent to maximise the number of responses at each round. Results are summarised using descriptive methods. Results Forty one (85%) CTU Directors responded to at least one round of the Delphi process: 25 (52%) responded in round one, 32 (67%) responded in round two, 24 (50%) responded in round three. There were only 12 (25%) who responded to all three rounds and 18 (38%) who responded to both rounds two and three. Consensus was achieved amongst CTU Directors that the top three priorities for trials methodological research were ‘Research into methods to boost recruitment in trials’ (considered the highest priority), ‘Methods to minimise attrition’ and ‘Choosing appropriate outcomes to measure’. Fifty other topics were included in the list of priorities and consensus was reached that two topics, ‘Radiotherapy study designs’ and ‘Low carbon trials’, were not priorities. Conclusions This priority setting exercise has identified the research topics felt to be most important to the key stakeholder group of Directors of UKCRC registered CTUs. The use of robust methodology to identify these priorities will help ensure that this work informs the trials methodological research agenda, with a focus on topics that will have most impact and relevance. PMID:24456928

A Comparison of Fuzzy Models in Similarity Assessment of Misregistered Area Class Maps

NASA Astrophysics Data System (ADS)

Brown, Scott

Spatial uncertainty refers to unknown error and vagueness in geographic data. It is relevant to land change and urban growth modelers, soil and biome scientists, geological surveyors and others, who must assess thematic maps for similarity, or categorical agreement. In this paper I build upon prior map comparison research, testing the effectiveness of similarity measures on misregistered data. Though several methods compare uncertain thematic maps, few methods have been tested on misregistration. My objective is to test five map comparison methods for sensitivity to misregistration, including sub-pixel errors in both position and rotation. Methods included four fuzzy categorical models: fuzzy kappa's model, fuzzy inference, cell aggregation, and the epsilon band. The fifth method used conventional crisp classification. I applied these methods to a case study map and simulated data in two sets: a test set with misregistration error, and a control set with equivalent uniform random error. For all five methods, I used raw accuracy or the kappa statistic to measure similarity. Rough-set epsilon bands report the most similarity increase in test maps relative to control data. Conversely, the fuzzy inference model reports a decrease in test map similarity.

Public views on the donation and use of human biological samples in biomedical research: a mixed methods study

PubMed Central

Lewis, Celine; Clotworthy, Margaret; Hilton, Shona; Magee, Caroline; Robertson, Mark J; Stubbins, Lesley J; Corfield, Julie

2013-01-01

Objective A mixed methods study exploring the UK general public's willingness to donate human biosamples (HBSs) for biomedical research. Setting Cross-sectional focus groups followed by an online survey. Participants Twelve focus groups (81 participants) selectively sampled to reflect a range of demographic groups; 1110 survey responders recruited through a stratified sampling method with quotas set on sex, age, geographical location, socioeconomic group and ethnicity. Main outcome measures (1) Identify participants’ willingness to donate HBSs for biomedical research, (2) explore acceptability towards donating different types of HBSs in various settings and (3) explore preferences regarding use and access to HBSs. Results 87% of survey participants thought donation of HBSs was important and 75% wanted to be asked to donate in general. Responders who self-reported having some or good knowledge of the medical research process were significantly more likely to want to donate (p<0.001). Reasons why focus group participants saw donation as important included: it was a good way of reciprocating for the medical treatment received; it was an important way of developing drugs and treatments; residual tissue would otherwise go to waste and they or their family members might benefit. The most controversial types of HBSs to donate included: brain post mortem (29% would donate), eyes post mortem (35%), embryos (44%), spare eggs (48%) and sperm (58%). Regarding the use of samples, there were concerns over animal research (34%), research conducted outside the UK (35%), and research conducted by pharmaceutical companies (56%), although education and discussion were found to alleviate such concerns. Conclusions There is a high level of public support and willingness to donate HBSs for biomedical research. Underlying concerns exist regarding the use of certain types of HBSs and conditions under which they are used. Improved education and more controlled forms of consent for sensitive samples may mitigate such concerns. PMID:23929915

Patient engagement in research: a systematic review.

PubMed

Domecq, Juan Pablo; Prutsky, Gabriela; Elraiyah, Tarig; Wang, Zhen; Nabhan, Mohammed; Shippee, Nathan; Brito, Juan Pablo; Boehmer, Kasey; Hasan, Rim; Firwana, Belal; Erwin, Patricia; Eton, David; Sloan, Jeff; Montori, Victor; Asi, Noor; Dabrh, Abd Moain Abu; Murad, Mohammad Hassan

2014-02-26

A compelling ethical rationale supports patient engagement in healthcare research. It is also assumed that patient engagement will lead to research findings that are more pertinent to patients' concerns and dilemmas. However; it is unclear how to best conduct this process. In this systematic review we aimed to answer 4 key questions: what are the best ways to identify patient representatives? How to engage them in designing and conducting research? What are the observed benefits of patient engagement? What are the harms and barriers of patient engagement? We searched MEDLINE, EMBASE, PsycInfo, Cochrane, EBSCO, CINAHL, SCOPUS, Web of Science, Business Search Premier, Academic Search Premier and Google Scholar. Included studies were published in English, of any size or design that described engaging patients or their surrogates in research design. We conducted an environmental scan of the grey literature and consulted with experts and patients. Data were analyzed using a non-quantitative, meta-narrative approach. We included 142 studies that described a spectrum of engagement. In general, engagement was feasible in most settings and most commonly done in the beginning of research (agenda setting and protocol development) and less commonly during the execution and translation of research. We found no comparative analytic studies to recommend a particular method. Patient engagement increased study enrollment rates and aided researchers in securing funding, designing study protocols and choosing relevant outcomes. The most commonly cited challenges were related to logistics (extra time and funding needed for engagement) and to an overarching worry of a tokenistic engagement. Patient engagement in healthcare research is likely feasible in many settings. However, this engagement comes at a cost and can become tokenistic. Research dedicated to identifying the best methods to achieve engagement is lacking and clearly needed.

Setting research priorities for maternal, newborn, child health and nutrition in India by engaging experts from 256 indigenous institutions contributing over 4000 research ideas: a CHNRI exercise by ICMR and INCLEN

PubMed Central

Arora, Narendra K; Mohapatra, Archisman; Gopalan, Hema S; Wazny, Kerri; Thavaraj, Vasantha; Rasaily, Reeta; Das, Manoj K; Maheshwari, Meenu; Bahl, Rajiv; Qazi, Shamim A; Black, Robert E; Rudan, Igor

2017-01-01

Background Health research in low– and middle– income countries (LMICs) is often driven by donor priorities rather than by the needs of the countries where the research takes place. This lack of alignment of donor’s priorities with local research need may be one of the reasons why countries fail to achieve set goals for population health and nutrition. India has a high burden of morbidity and mortality in women, children and infants. In order to look forward toward the Sustainable Development Goals, the Indian Council of Medical Research (ICMR) and the INCLEN Trust International (INCLEN) employed the Child Health and Nutrition Research Initiative’s (CHNRI) research priority setting method for maternal, neonatal, child health and nutrition with the timeline of 2016–2025. The exercise was the largest to–date use of the CHNRI methodology, both in terms of participants and ideas generated and also expanded on the methodology. Methods CHNRI is a crowdsourcing–based exercise that involves using the collective intelligence of a group of stakeholders, usually researchers, to generate and score research options against a set of criteria. This paper reports on a large umbrella CHNRI that was divided into four theme–specific CHNRIs (maternal, newborn, child health and nutrition). A National Steering Group oversaw the exercise and four theme–specific Research Sub–Committees technically supported finalizing the scoring criteria and refinement of research ideas for the respective thematic areas. The exercise engaged participants from 256 institutions across India – 4003 research ideas were generated from 498 experts which were consolidated into 373 research options (maternal health: 122; newborn health: 56; child health: 101; nutrition: 94); 893 experts scored these against five criteria (answerability, relevance, equity, innovation and out–of–box thinking, investment on research). Relative weights to the criteria were assigned by 79 members from the Larger Reference Group. Given India’s diversity, priorities were identified at national and three regional levels: (i) the Empowered Action Group (EAG) and North–Eastern States; (ii) States and Union territories in Northern India (including West Bengal); and (iii) States and Union territories in Southern and Western parts of India. Conclusions The exercise leveraged the inherent flexibility of the CHNRI method in multiple ways. It expanded on the CHNRI methodology enabling analyses for identification of research priorities at national and regional levels. However, prioritization of research options are only valuable if they are put to use, and we hope that donors will take advantage of this prioritized list of research options. PMID:28686749

Science of learning is learning of science: why we need a dialectical approach to science education research

NASA Astrophysics Data System (ADS)

Roth, Wolff-Michael

2012-06-01

Research on learning science in informal settings and the formal (sometimes experimental) study of learning in classrooms or psychological laboratories tend to be separate domains, even drawing on different theories and methods. These differences make it difficult to compare knowing and learning observed in one paradigm/context with those observed in the other. Even more interestingly, the scientists studying science learning rarely consider their own learning in relation to the phenomena they study. A dialectical, reflexive approach to learning, however, would theorize the movement of an educational science (its learning and development) as a special and general case—subject matter and method—of the phenomenon of learning (in/of) science. In the dialectical approach to the study of science learning, therefore, subject matter, method, and theory fall together. This allows for a perspective in which not only disparate fields of study—school science learning and learning in everyday life—are integrated but also where the progress in the science of science learning coincides with its topic. Following the articulation of a contradictory situation on comparing learning in different settings, I describe the dialectical approach. As a way of providing a concrete example, I then trace the historical movement of my own research group as it simultaneously and alternately studied science learning in formal and informal settings. I conclude by recommending cultural-historical, dialectical approaches to learning and interaction analysis as a context for fruitful interdisciplinary research on science learning within and across different settings.

The False Security of Blind Dates

PubMed Central

Cimino, J.J.

2012-01-01

Background The reuse of clinical data for research purposes requires methods for the protection of personal privacy. One general approach is the removal of personal identifiers from the data. A frequent part of this anonymization process is the removal of times and dates, which we refer to as “chrononymization.” While this step can make the association with identified data (such as public information or a small sample of patient information) more difficult, it comes at a cost to the usefulness of the data for research. Objectives We sought to determine whether removal of dates from common laboratory test panels offers any advantage in protecting such data from re-identification. Methods We obtained a set of results for 5.9 million laboratory panels from the National Institutes of Health’s (NIH) Biomedical Translational Research Information System (BTRIS), selected a random set of 20,000 panels from the larger source sets, and then identified all matches between the sets. Results We found that while removal of dates could hinder the re-identification of a single test result, such removal had almost no effect when entire panels were used. Conclusions Our results suggest that reliance on chrononymization provides a false sense of security for the protection of laboratory test results. As a result of this study, the NIH has chosen to rely on policy solutions, such as strong data use agreements, rather than removal of dates when reusing clinical data for research purposes. PMID:23646086

Extensions of algebraic image operators: An approach to model-based vision

NASA Technical Reports Server (NTRS)

Lerner, Bao-Ting; Morelli, Michael V.

1990-01-01

Researchers extend their previous research on a highly structured and compact algebraic representation of grey-level images which can be viewed as fuzzy sets. Addition and multiplication are defined for the set of all grey-level images, which can then be described as polynomials of two variables. Utilizing this new algebraic structure, researchers devised an innovative, efficient edge detection scheme. An accurate method for deriving gradient component information from this edge detector is presented. Based upon this new edge detection system researchers developed a robust method for linear feature extraction by combining the techniques of a Hough transform and a line follower. The major advantage of this feature extractor is its general, object-independent nature. Target attributes, such as line segment lengths, intersections, angles of intersection, and endpoints are derived by the feature extraction algorithm and employed during model matching. The algebraic operators are global operations which are easily reconfigured to operate on any size or shape region. This provides a natural platform from which to pursue dynamic scene analysis. A method for optimizing the linear feature extractor which capitalizes on the spatially reconfiguration nature of the edge detector/gradient component operator is discussed.

Indigenous Ways of Knowing: Implications for Participatory Research and Community

PubMed Central

Cochran, Patricia A. L.; Marshall, Catherine A.; Garcia-Downing, Carmen; Kendall, Elizabeth; Cook, Doris; McCubbin, Laurie; Gover, Reva Mariah S.

2008-01-01

Researchers have a responsibility to cause no harm, but research has been a source of distress for indigenous people because of inappropriate methods and practices. The way researchers acquire knowledge in indigenous communities may be as critical for eliminating health disparities as the actual knowledge that is gained about a particular health problem. Researchers working with indigenous communities must continue to resolve conflict between the values of the academic setting and those of the community. It is important to consider the ways of knowing that exist in indigenous communities when developing research methods. Challenges to research partnerships include how to distribute the benefits of the research findings when academic or external needs contrast with the need to protect indigenous knowledge. PMID:18048800

Evaluations of Sexual Assault Prevention Programs in Military Settings: A Synthesis of the Research Literature.

PubMed

Orchowski, Lindsay M; Berry-Cabán, Cristóbal S; Prisock, Kara; Borsari, Brian; Kazemi, Donna M

2018-03-01

The prevention of sexual assault (SA) in the U.S. military is a significant priority. This study applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to a literature search that identified research evaluating SA prevention programs conducted within military settings. Only six studies published between 2005 and 2016 met criteria for inclusion in the review. Studies demonstrated high heterogeneity in the: (1) conceptual framework of the prevention approach; (2) target population and timing of administration; (3) study recruitment methods; (4) methodological design; (5) method of delivery, program dosage and theory of change; and (6) outcome administration and efficacy. Scientific rigor according to the Oxford Center for Evidence-based Medicine was also variable. Several gaps in the research base were identified. Specifically, research evaluating SA prevention programs have only been conducted among U.S. Army and U.S. Navy samples. Most studies did not examine whether program participation was associated with reductions in rates of sexual violence. Studies also lacked utilization of a long-term follow-up period. Additionally, studies did not reflect the types of SA prevention programs currently being implemented in military settings. Taken together, further research is needed to enhance the evidence base for SA prevention in the military, and to evaluate the effectiveness of the approaches currently being conducted with service members.

Innovative methods in soil phosphorus research: A review

PubMed Central

Kruse, Jens; Abraham, Marion; Amelung, Wulf; Baum, Christel; Bol, Roland; Kühn, Oliver; Lewandowski, Hans; Niederberger, Jörg; Oelmann, Yvonne; Rüger, Christopher; Santner, Jakob; Siebers, Meike; Siebers, Nina; Spohn, Marie; Vestergren, Johan; Vogts, Angela; Leinweber, Peter

2015-01-01

Phosphorus (P) is an indispensable element for all life on Earth and, during the past decade, concerns about the future of its global supply have stimulated much research on soil P and method development. This review provides an overview of advanced state-of-the-art methods currently used in soil P research. These involve bulk and spatially resolved spectroscopic and spectrometric P speciation methods (1 and 2D NMR, IR, Raman, Q-TOF MS/MS, high resolution-MS, NanoSIMS, XRF, XPS, (µ)XAS) as well as methods for assessing soil P reactions (sorption isotherms, quantum-chemical modeling, microbial biomass P, enzymes activity, DGT, 33P isotopic exchange, 18O isotope ratios). Required experimental set-ups and the potentials and limitations of individual methods present a guide for the selection of most suitable methods or combinations. PMID:26167132

Opinions of sports clinical practice chiropractors, with sports specialty training and those without, about chiropractic research priorities in sports health care: a centering resonance analysis

PubMed Central

Lee, Alexander D; Szabo, Kaitlyn; McDowell, Kirstie; Granger, Sydney

2016-01-01

Introduction: A Canadian sports chiropractic research agenda has yet to be defined. The Delphi method can be utilized to achieve this purpose; however, the sample of experts who participate can influence the results. To better inform sample selection for future research agenda development, we set out to determine if differences in opinions about research priorities exist between chiropractors who have their sports specialty designation and those who do not. Methods: Fifteen sports clinical practice chiropractors who have their sports fellowship designation and fifteen without, were interviewed with a set of standardized questions about sports chiropractic research priorities. A centering resonance analysis and cluster analysis were conducted on the interview responses. Results: The two practitioner groups differed in their opinions about the type of research that they would like to see conducted, the research that would impact their clinical practice the most, and where they believed research was lacking. However, both groups were similar in their opinions about research collaborations. Conclusion: Sports clinical practice chiropractors, with their sports specialty designation and those without, differed in their opinions about sports chiropractic research priorities; however, they had similar opinions about research collaborations. These results suggest that it may be important to sample from both practitioner groups in future studies aimed at developing research agendas for chiropractic research in sport. PMID:28065995

[Qualitative research in health services research - discussion paper, Part 1: What is the idea?].

PubMed

Meyer, T; Karbach, U; Holmberg, C; Güthlin, C; Patzelt, C; Stamer, M

2012-08-01

In this first part of a 3-part discussion paper the working group "Qualitative Methods" in the German Network of Health Services Research (DNVF) identifies the potentials and opportunities qualitative research methods provide for health services research. Many research questions relevant for health services research require the use of qualitative methods. However, the potential of and need for qualitative research in health services research has not yet received sufficient attention from funding bodies. We discuss the applicability and importance of qualitative research for the field of health services research. We then move on to describe the key characteristics of qualitative research that need to be taken into account in health services research. We discuss characteristics such as open-ended (qualitative) data, interpretation of meanings, the search for contradictions, closeness to everyday life, openness towards change or modification of the research question and processes in the context of health services research. To ensure a high-quality approach in qualitative methods for the health services research, sufficient competency in methods and appropriate settings that account for the peculiarities of qualitative methods need to be developed. These include an appropriate time frame and sufficient and qualified personnel to conduct qualitative research. Qualitative research is not a research paradigm in itself rather it comprises of many different and diverging approaches. The goal of this paper is to show the diversity of qualitative research methods, its importance for health services research, and to open up the discussion on strategies for integrating qualitative methods into health services research. © Georg Thieme Verlag KG Stuttgart · New York.

Automatic telangiectasia analysis in dermoscopy images using adaptive critic design.

PubMed

Cheng, B; Stanley, R J; Stoecker, W V; Hinton, K

2012-11-01

Telangiectasia, tiny skin vessels, are important dermoscopy structures used to discriminate basal cell carcinoma (BCC) from benign skin lesions. This research builds off of previously developed image analysis techniques to identify vessels automatically to discriminate benign lesions from BCCs. A biologically inspired reinforcement learning approach is investigated in an adaptive critic design framework to apply action-dependent heuristic dynamic programming (ADHDP) for discrimination based on computed features using different skin lesion contrast variations to promote the discrimination process. Lesion discrimination results for ADHDP are compared with multilayer perception backpropagation artificial neural networks. This study uses a data set of 498 dermoscopy skin lesion images of 263 BCCs and 226 competitive benign images as the input sets. This data set is extended from previous research [Cheng et al., Skin Research and Technology, 2011, 17: 278]. Experimental results yielded a diagnostic accuracy as high as 84.6% using the ADHDP approach, providing an 8.03% improvement over a standard multilayer perception method. We have chosen BCC detection rather than vessel detection as the endpoint. Although vessel detection is inherently easier, BCC detection has potential direct clinical applications. Small BCCs are detectable early by dermoscopy and potentially detectable by the automated methods described in this research. © 2011 John Wiley & Sons A/S.

Purposeful sampling for qualitative data collection and analysis in mixed method implementation research

PubMed Central

Palinkas, Lawrence A.; Horwitz, Sarah M.; Green, Carla A.; Wisdom, Jennifer P.; Duan, Naihua; Hoagwood, Kimberly

2013-01-01

Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research. However, combining sampling strategies may be more appropriate to the aims of implementation research and more consistent with recent developments in quantitative methods. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation research. PMID:24193818

Positive Exercise Experience Facilitates Behavior Change via Self-Efficacy

ERIC Educational Resources Information Center

Parschau, Linda; Fleig, Lena; Warner, Lisa Marie; Pomp, Sarah; Barz, Milena; Knoll, Nina; Schwarzer, Ralf; Lippke, Sonia

2014-01-01

Purpose: Motivational processes can be set in motion when positive consequences of physical exercise are experienced. However, relationships between positive exercise experience and determinants of the motivational and the volitional phases of exercise change have attracted only sparse attention in research. Method: This research examines direct…

76 FR 20325 - Takes of Marine Mammals Incidental to Specified Activities; Marine Geophysical Survey in the...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-12

... stock(s) for subsistence uses (where relevant). The authorization must set forth the permissible methods..., with research funding from the U.S. National Science Foundation (NSF), plans to conduct the seismic... Seismic Research Funded by the [[Page 20327

Setting research priorities to reduce global mortality from preterm birth and low birth weight by 2015.

PubMed

Bahl, Rajiv; Martines, Jose; Bhandari, Nita; Biloglav, Zrinka; Edmond, Karen; Iyengar, Sharad; Kramer, Michael; Lawn, Joy E; Manandhar, D S; Mori, Rintaro; Rasmussen, Kathleen M; Sachdev, H P S; Singhal, Nalini; Tomlinson, Mark; Victora, Cesar; Williams, Anthony F; Chan, Kit Yee; Rudan, Igor

2012-06-01

This paper aims to identify health research priorities that could improve the rate of progress in reducing global neonatal mortality from preterm birth and low birth weight (PB/LBW), as set out in the UN's Millennium Development Goal 4. We applied the Child Health and Nutrition Research Initiative (CHNRI) methodology for setting priorities in health research investments. In the process coordinated by the World Health Organization in 2007-2008, 21 researchers with interest in child, maternal and newborn health suggested 82 research ideas that spanned across the broad spectrum of epidemiological research, health policy and systems research, improvement of existing interventions and development of new interventions. The 82 research questions were then assessed for answerability, effectiveness, deliverability, maximum potential for mortality reduction and the effect on equity using the CHNRI method. The top 10 identified research priorities were dominated by health systems and policy research questions (eg, identification of LBW infants born at home within 24-48 hours of birth for additional care; approaches to improve quality of care of LBW infants in health facilities; identification of barriers to optimal home care practices including care seeking; and approaches to increase the use of antenatal corticosteriods in preterm labor and to improve access to hospital care for LBW infants). These were followed by priorities for improvement of the existing interventions (eg, early initiation of breastfeeding, including feeding mode and techniques for those unable to suckle directly from the breast; improved cord care, such as chlorhexidine application; and alternative methods to Kangaroo Mother Care (KMC) to keep LBW infants warm in community settings). The highest-ranked epidemiological question suggested improving criteria for identifying LBW infants who need to be cared for in a hospital. Among the new interventions, the greatest support was shown for the development of new simple and effective interventions for providing thermal care to LBW infants, if KMC is not acceptable to the mother. The context for this exercise was set within the MDG4, requiring an urgent and rapid progress in mortality reduction from low birth weight, rather than identifying long-term strategic solutions of the greatest potential. In a short-term context, the health policy and systems research to improve access and coverage by the existing interventions, coupled with further research to improve effectiveness, deliverability and acceptance of existing interventions, and epidemiological research to address the key gaps in knowledge, were all highlighted as research priorities.

Some strategies to address the challenges of collecting observational data in a busy clinical environment.

PubMed

Jackson, Debra; McDonald, Glenda; Luck, Lauretta; Waine, Melissa; Wilkes, Lesley

2016-01-01

Studies drawing on observational methods can provide vital data to enhance healthcare. However, collecting observational data in clinical settings is replete with challenges, particularly where multiple data-collecting observers are used. Observers collecting data require shared understanding and training to ensure data quality, and particularly, to confirm accurate and consistent identification, discrimination and recording of data. The aim of this paper is to describe strategies for preparing and supporting multiple researchers tasked with collecting observational data in a busy, and often unpredictable, hospital environment. We hope our insights might assist future researchers undertaking research in similar settings.

Determination of lateral effects of borrow pits on hydrology of adjacent wetlands.

DOT National Transportation Integrated Search

2007-09-28

A three year research project was conducted to develop and test a method to predict the distance borrow pits should : be set back from adjacent wetlands to avoid detrimental impacts on wetland hydrology. The method is based on the : Boussinesq equati...

Research priorities for adolescent health in low- and middle-income countries: A mixed-methods synthesis of two separate exercises

PubMed Central

Nagata, Jason M; Hathi, Sejal; Ferguson, B Jane; Hindin, Michele J; Yoshida, Sachiyo; Ross, David A

2018-01-01

Background In order to clarify priorities and stimulate research in adolescent health in low- and middle-income countries (LMICs), the World Health Organization (WHO) conducted two priority-setting exercises based on the Child Health and Nutrition Research Initiative (CHNRI) methodology related to 1) adolescent sexual and reproductive health and 2) eight areas of adolescent health including communicable diseases prevention and management, injuries and violence, mental health, non-communicable diseases management, nutrition, physical activity, substance use, and health policy. Although the CHNRI methodology has been utilized in over 50 separate research priority setting exercises, none have qualitatively synthesized the ultimate findings across studies. The purpose of this study was to conduct a mixed-method synthesis of two research priority-setting exercises for adolescent health in LMICs based on the CHNRI methodology and to situate the priority questions within the current global health agenda. Methods All of the 116 top-ranked questions presented in each exercise were analyzed by two independent reviewers. Word clouds were generated based on keywords from the top-ranked questions. Questions were coded and content analysis was conducted based on type of delivery platform, vulnerable populations, and the Survive, Thrive, and Transform framework from the United Nations Global Strategy for Women’s, Children’s, and Adolescents’ Health, 2016-2030. Findings Within the 53 top-ranked intervention-related questions that specified a delivery platform, the platforms specified were schools (n = 17), primary care (n = 12), community (n = 11), parenting (n = 6), virtual media (n = 5), and peers (n = 2). Twenty questions specifically focused on vulnerable adolescents, including those living with HIV, tuberculosis, mental illness, or neurodevelopmental disorders; victims of gender-based violence; refugees; young persons who inject drugs; sex workers; slum dwellers; out-of-school youth; and youth in armed conflict. A majority of the top-ranked questions (108/116) aligned with one or a combination of the Survive (n = 39), Thrive (n = 67), and Transform (n = 28) agendas. Conclusions This study advances the CHNRI methodology by conducting the first mixed-methods synthesis of multiple research priority-setting exercises by analyzing keywords (using word clouds) and themes (using content analysis). PMID:29497507

Assessing the Sensitivity of Treatment Effect Estimates to Differential Follow-Up Rates: Implications for Translational Research

PubMed Central

McCaffrey, Daniel; Ramchand, Rajeev; Hunter, Sarah B.; Suttorp, Marika

2012-01-01

We develop a new tool for assessing the sensitivity of findings on treatment effectiveness to differential follow-up rates in the two treatment conditions being compared. The method censors the group with the higher response rate to create a synthetic respondent group that is then compared with the observed cases in the other condition to estimate a treatment effect. Censoring is done under various assumptions about the strength of the relationship between follow-up and outcomes to determine how informative differential dropout can alter inferences relative to estimates from models that assume the data are missing at random. The method provides an intuitive measure for understanding the strength of the association between outcomes and dropout that would be required to alter inferences about treatment effects. Our approach is motivated by translational research in which treatments found to be effective under experimental conditions are tested in standard treatment conditions. In such applications, follow-up rates in the experimental setting are likely to be substantially higher than in the standard setting, especially when observational data are used in the evaluation. We test the method on a case study evaluation of the effectiveness of an evidence-supported adolescent substance abuse treatment program (Motivational Enhancement Therapy/Cognitive Behavioral Therapy-5 [MET/CBT-5]) delivered by community-based treatment providers relative to its performance in a controlled research trial. In this case study, follow-up rates in the community based settings were extremely low (54%) compared to the experimental setting (95%) giving raise to concerns about non-ignorable drop-out. PMID:22956890

A novel approach to generating CER hypotheses based on mining clinical data.

PubMed

Zhang, Shuo; Li, Lin; Yu, Yiqin; Sun, Xingzhi; Xu, Linhao; Zhao, Wei; Teng, Xiaofei; Pan, Yue

2013-01-01

Comparative effectiveness research (CER) is a scientific method of investigating the effectiveness of alternative intervention methods. In a CER study, clinical researchers typically start with a CER hypothesis, and aim to evaluate it by applying a series of medical statistical methods. Traditionally, the CER hypotheses are defined manually by clinical researchers. This makes the task of hypothesis generation very time-consuming and the quality of hypothesis heavily dependent on the researchers' skills. Recently, with more electronic medical data being collected, it is highly promising to apply the computerized method for discovering CER hypotheses from clinical data sets. In this poster, we proposes a novel approach to automatically generating CER hypotheses based on mining clinical data, and presents a case study showing that the approach can facilitate clinical researchers to identify potentially valuable hypotheses and eventually define high quality CER studies.

The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry.

PubMed

Anguera, M Teresa; Camerino, Oleguer; Castañer, Marta; Sánchez-Algarra, Pedro; Onwuegbuzie, Anthony J

2017-01-01

Mixed methods studies are been increasingly applied to a diversity of fields. In this paper, we discuss the growing use-and enormous potential-of mixed methods research in the field of sport and physical activity. A second aim is to contribute to strengthening the characteristics of mixed methods research by showing how systematic observation offers rigor within a flexible framework that can be applied to a wide range of situations. Observational methodology is characterized by high scientific rigor and flexibility throughout its different stages and allows the objective study of spontaneous behavior in natural settings, with no external influence. Mixed methods researchers need to take bold yet thoughtful decisions regarding both substantive and procedural issues. We present three fundamental and complementary ideas to guide researchers in this respect: we show why studies of sport and physical activity that use a mixed methods research approach should be included in the field of mixed methods research, we highlight the numerous possibilities offered by observational methodology in this field through the transformation of descriptive data into quantifiable code matrices, and we discuss possible solutions for achieving true integration of qualitative and quantitative findings.

[Courses in basic research methodology a valuable asset for clinicians. Twelve years' experiences in southern Sweden].

PubMed

Håkansson, Anders; Lindberg, Eva Pettersson; Henriksson, Karin

2002-03-07

At the Department of Community Medicine at Lund University we have given courses in basic research methodology since 1989. The course has yielded 20 points of university credit, the equivalent of one full-time semester of studies, and it has been run part-time, covering one and a half years. Our aim has been to provide a large number of physicians with basic training in research methods, and to stimulate the engagement of new scientific students from the whole Southern Health Care Region. During the first ten years, 138 general practitioners (20% of the GPs of the region) and 202 specialists completed our courses. Up till now, 19 GPs (14%) and 19 specialists (9%) have begun PhD studies. During the last two years, another 100 physicians from southern Sweden have attended our courses, as well as GPs from Zealand in Denmark. We have been developing our course in basic research methods during a twelve-year period, and it is now well established in our health care region. We feel that we have succeeded in reaching the two goals we had set up: to give a large number of physicians a fundamental knowledge of research methods and to recruit and increase the number of PhD students. We believe that medical research and development must flourish also outside the traditional university settings.

Research on teaching methods.

PubMed

Oermann, M H

1990-01-01

Research on teaching methods in nursing education was categorized into studies on media, CAI, and other nontraditional instructional strategies. While the research differed, some generalizations may be made from the findings. Multimedia, whether it is used for individual or group instruction, is at least as effective as traditional instruction (lecture and lecture-discussion) in promoting cognitive learning, retention of knowledge, and performance. Further study is needed to identify variables that may influence learning and retention. While learner attitudes toward mediated instruction tended to be positive, investigators failed to control for the effect of novelty. Control over intervening variables was lacking in the majority of studies as well. Research indicated that CAI is as effective as other teaching methods in terms of knowledge gain and retention. Attitudes toward CAI tended to be favorable, with similar problems in measurement as those evidenced in studies of media. Chang (1986) also recommends that future research examine the impact of computer-video interactive instruction on students, faculty, and settings. Research is needed on experimental teaching methods, strategies for teaching problem solving and clinical judgment, and ways of improving the traditional lecture and discussion. Limited research in these areas makes generalizations impossible. There is a particular need for research on how to teach students the diagnostic reasoning process and encourage critical thinking, both in terms of appropriate teaching methods and the way in which those strategies should be used. It is interesting that few researchers studied lecture and lecture-discussion except as comparable teaching methods for research on other strategies. Additional research questions may be generated on lecture and discussion in relation to promoting concept learning, an understanding of nursing and other theories, transfer of knowledge, and development of cognitive skills. Few studies attempted to identify variables that may influence learning, particularly characteristics of the learner. Only six investigators addressed learning styles and their interactions with the teaching method and outcomes (Gillies, 1984; Goldsmith, 1984; Kirchhoff & Holzemer, 1979; Kissinger & Munjas, 1981; Norris, 1986; Stein et al., 1972). Research in the future needs to focus on the relationship of different learner characteristics, attributes of the teaching method, and learning outcomes. In addition, initial learning, retention, transfer to practice, and instructional time should be studied. Characteristics of the teacher and setting and relationship to the methodologies used and outcomes of instruction need investigation. Research should attempt to identify optimal conditions for learning and ways in which methods should be used for particular students, subject matter, and points in the nursing curriculum...

Trial by Fire: On the terminology and methods used in pyrogenic organic carbon research

NASA Astrophysics Data System (ADS)

Zimmerman, Andrew R.; Mitra, Siddhartha

2017-11-01

Our understanding of the cycling of fire-derived, i.e. pyrogenic organic matter (pyOM), as well as the goals of the community of researchers who study it, may be inhibited by the many terms and methods currently used in its quantification and characterization. Terms currently used for pyOM have evolved by convention, but are often poorly defined. Further, each of the different methods now used to quantify solid and dissolved pyrogenic carbon (pyC) comes with its own biases and artifacts. That is, each detects only a fraction of the total pyrogenic products produced by fire, while, at the same time, include some fraction of non-pyrogenic OM. This may be evident in the commonly observed correlations between pyC and total organic C reported for both soils and dissolved OM in many different systems. We suggest that our research area can be placed on a stronger footing by: 1) agreement upon a common set of terms tied to the method used for detection (e.g. of the form pyCmethod), 2) implementation of another ‘ring trial’ study with a wider set of natural soil and water samples that cross-compare more recently developed methods, and 3) further investigation of the processes which preserve/degrade/transport pyOM in the environment.

Case Study Observational Research: A Framework for Conducting Case Study Research Where Observation Data Are the Focus.

PubMed

Morgan, Sonya J; Pullon, Susan R H; Macdonald, Lindsay M; McKinlay, Eileen M; Gray, Ben V

2017-06-01

Case study research is a comprehensive method that incorporates multiple sources of data to provide detailed accounts of complex research phenomena in real-life contexts. However, current models of case study research do not particularly distinguish the unique contribution observation data can make. Observation methods have the potential to reach beyond other methods that rely largely or solely on self-report. This article describes the distinctive characteristics of case study observational research, a modified form of Yin's 2014 model of case study research the authors used in a study exploring interprofessional collaboration in primary care. In this approach, observation data are positioned as the central component of the research design. Case study observational research offers a promising approach for researchers in a wide range of health care settings seeking more complete understandings of complex topics, where contextual influences are of primary concern. Future research is needed to refine and evaluate the approach.

Computer-assisted qualitative data analysis software.

PubMed

Cope, Diane G

2014-05-01

Advances in technology have provided new approaches for data collection methods and analysis for researchers. Data collection is no longer limited to paper-and-pencil format, and numerous methods are now available through Internet and electronic resources. With these techniques, researchers are not burdened with entering data manually and data analysis is facilitated by software programs. Quantitative research is supported by the use of computer software and provides ease in the management of large data sets and rapid analysis of numeric statistical methods. New technologies are emerging to support qualitative research with the availability of computer-assisted qualitative data analysis software (CAQDAS).CAQDAS will be presented with a discussion of advantages, limitations, controversial issues, and recommendations for this type of software use.

Quality in applied science

NASA Astrophysics Data System (ADS)

Sten, T.

1993-12-01

Science is in many senses a special kind of craft and only skilled craftsmen are able to distinguish good work from bad. Due to the variation in approaches, methods and even philosophical basis, it is nearly impossible to derive a general set of quality criteria for scientific work outside specific research traditions. Applied science introduces a new set of quality criteria having to do with the application of results in practical situations and policy making. A scientist doing basic research relates mainly to the scientific community of which he is a member, while in applied contract research the scientist has to consider the impact of his results both for the immediate users and upon interest groups possibly being affected. Application thus raises a whole new set of requirements having to do with business ethics, policy consequences and societal ethics in general.

Troubling objectivity: the promises and pitfalls of training Haitian clinicians in qualitative research methods.H.

PubMed

Minn, Pierre

2015-01-01

Building research capacity is a central component of many contemporary global health programs and partnerships. While medical anthropologists have been conducting qualitative research in resource-poor settings for decades, they are increasingly called on to train "local" clinicians, researchers, and students in qualitative research methods. In this article, I describe the process of teaching introductory courses in qualitative research methods to Haitian clinicians, hospital staff, and medical students, who rarely encounter qualitative research in their training or practice. These trainings allow participants to identify and begin to address challenges related to health services delivery, quality of care, and provider-patient relations. However, they also run the risk of perpetuating colonial legacies of objectification and reinforcing hierarchies of knowledge and knowledge production. As these trainings increase in number and scope, they offer the opportunity to reflect critically on new forms of transnational interventions that aim to reduce health disparities.

So you want to do research? 3. An introduction to qualitative methods.

PubMed

Meadows, Keith A

2003-10-01

This article describes some of the key issues in the use of qualitative research methods. Starting with a description of what qualitative research is and outlining some of the distinguishing features between quantitative and qualitative research, examples of the type of setting where qualitative research can be applied are provided. Methods of collecting information through in-depth interviews and group discussions are discussed in some detail, including issues around sampling and recruitment, the use of topic guides and techniques to encourage participants to talk openly. An overview on the analysis of qualitative data discusses aspects on data reduction, display and drawing conclusions from the data. Approaches to ensuring rigour in the collection, analysis and reporting of qualitative research are discussed and the concepts of credibility, transferability, dependability and confirmability are described. Finally, guidelines for the reporting of qualitative research are outlined and the need to write for a particular audience is discussed.

Immersive Virtual Environment Technology to Supplement Environmental Perception, Preference and Behavior Research: A Review with Applications

PubMed Central

Smith, Jordan W.

2015-01-01

Immersive virtual environment (IVE) technology offers a wide range of potential benefits to research focused on understanding how individuals perceive and respond to built and natural environments. In an effort to broaden awareness and use of IVE technology in perception, preference and behavior research, this review paper describes how IVE technology can be used to complement more traditional methods commonly applied in public health research. The paper also describes a relatively simple workflow for creating and displaying 360° virtual environments of built and natural settings and presents two freely-available and customizable applications that scientists from a variety of disciplines, including public health, can use to advance their research into human preferences, perceptions and behaviors related to built and natural settings. PMID:26378565

Immersive Virtual Environment Technology to Supplement Environmental Perception, Preference and Behavior Research: A Review with Applications.

PubMed

Smith, Jordan W

2015-09-11

Immersive virtual environment (IVE) technology offers a wide range of potential benefits to research focused on understanding how individuals perceive and respond to built and natural environments. In an effort to broaden awareness and use of IVE technology in perception, preference and behavior research, this review paper describes how IVE technology can be used to complement more traditional methods commonly applied in public health research. The paper also describes a relatively simple workflow for creating and displaying 360° virtual environments of built and natural settings and presents two freely-available and customizable applications that scientists from a variety of disciplines, including public health, can use to advance their research into human preferences, perceptions and behaviors related to built and natural settings.

Toward Psychoinformatics: Computer Science Meets Psychology

PubMed Central

Duke, Éilish; Markowetz, Alexander

2016-01-01

The present paper provides insight into an emerging research discipline called Psychoinformatics. In the context of Psychoinformatics, we emphasize the cooperation between the disciplines of psychology and computer science in handling large data sets derived from heavily used devices, such as smartphones or online social network sites, in order to shed light on a large number of psychological traits, including personality and mood. New challenges await psychologists in light of the resulting “Big Data” sets, because classic psychological methods will only in part be able to analyze this data derived from ubiquitous mobile devices, as well as other everyday technologies. As a consequence, psychologists must enrich their scientific methods through the inclusion of methods from informatics. The paper provides a brief review of one area of this research field, dealing mainly with social networks and smartphones. Moreover, we highlight how data derived from Psychoinformatics can be combined in a meaningful way with data from human neuroscience. We close the paper with some observations of areas for future research and problems that require consideration within this new discipline. PMID:27403204

Rationale, design, and methods for process evaluation in the Childhood Obesity Research Demonstration project

USDA-ARS?s Scientific Manuscript database

The cross-site process evaluation plan for the Childhood Obesity Research Demonstration (CORD) project is described here. The CORD project comprises 3 unique demonstration projects designed to integrate multi-level, multi-setting health care and public health interventions over a 4-year funding peri...

Research Notes - Openness and Evolvability - Documentation Quality Assessment

DTIC Science & Technology

2016-08-01

UNCLASSIFIED UNCLASSIFIED Notes – Openness and Evolvability – Documentation Quality Assessment Michael Haddy* and Adam Sbrana...Methods and Processes. This set of Research Notes focusses on Documentation Quality Assessment. This work was undertaken from the late 1990s to 2007...1 2. DOCUMENTATION QUALITY ASSESSMENT ......................................................... 1 2.1 Documentation Quality Assessment

Information Sharing in the Field of Design Research

ERIC Educational Resources Information Center

Pilerot, Ola

2015-01-01

Introduction: This paper reports on an extensive research project which aimed at exploring information sharing activities in a scholarly context. The paper presents and synthesises findings from a literature review and three qualitative case studies. The empirical setting is a geographically distributed Nordic network of design scholars. Method:…

Middle School Educators' Perceptions of Online Professional Development

ERIC Educational Resources Information Center

Theodocion, Kelley E.

2012-01-01

Numerous researchers have investigated distance education in postsecondary settings, but there is a paucity of research regarding the design and delivery of online professional development for K-12 educators. The goal of this mixed methods sequential exploratory study was to examine attitudes of middle grades educators toward an online…

Scaffolding the Science: Problem Based Strategies for Teaching Interdisciplinary Undergraduate Research Methods

ERIC Educational Resources Information Center

Keebaugh, Alaine; Darrow, Lyndsey; Tan, David; Jamerson, Heather

2009-01-01

Previous research has highlighted the effectiveness of Problem-Based Learning (PBL) in multiple disciplinary settings, including medicine, teacher education, business, allied health, and the social sciences. Yet interdisciplinary educators have very little information about how to implement PBL in classrooms where multiple disciplines are…

Development of the Prosodic Features of Infants' Vocalizing.

ERIC Educational Resources Information Center

Lane, Harlan; Sheppard, William

Traditional research methods of recording infant verbal behavior, namely, descriptions by a single observer transcribing the utterances of a single infant in a naturalistic setting, have been inadequate to provide data necessary for modern linguistic analyses. The Center for Research on Language and Language Behavior has undertaken to correct this…

76 FR 12979 - Submission for OMB Review: Comment Request; Questionnaire Cognitive Interviewing and Pretesting...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-09

... cognitive interviews, focus groups, Pilot household interviews, and experimental research in laboratory and field settings, both for applied questionnaire evaluation and more basic research on response errors in surveys. The most common evaluation method is the cognitive interview, in which a questionnaire design...

Cluster Analysis of Minnesota School Districts. A Research Report.

ERIC Educational Resources Information Center

Cleary, James

The term "cluster analysis" refers to a set of statistical methods that classify entities with similar profiles of scores on a number of measured dimensions, in order to create empirically based typologies. A 1980 Minnesota House Research Report employed cluster analysis to categorize school districts according to their relative mixtures…

Differential Outcomes in Agency-Based Mental Health Care between Minority and Majority Youth

ERIC Educational Resources Information Center

Patterson, David A.; Dulmus, Catherine N.; Maguin, Eugene; Perkins, Jacob

2016-01-01

Background: Childhood mental health problems represent a significant public health concern globally. There is a converging discussion among researchers and practitioners alike that the research results of effectiveness studies are not fully generalizable and applicable to ethnoracial minority groups in real-world practice settings. Methods:…

The Effect of Interactive Technology on Informal Learning and Performance in a Social Setting

ERIC Educational Resources Information Center

Boileau, Timothy

2011-01-01

This study is based on a qualitative multiple case study research design using a mixed methods approach to provide insight into the effect of interactive technology on informal learning and performance in a social business setting inhabited by knowledge workers. The central phenomenon examined is the variance in behavioral intention towards…

Research Ethics in Emerging Forms of Online Learning: Issues Arising from a Hypothetical Study on a MOOC

ERIC Educational Resources Information Center

Esposito, Antonella

2012-01-01

This paper is concerned with how research ethics is evolving along with emerging online research methods and settings. In particular, it focuses on ethics issues implied in a hypothetical virtual ethnography study aiming to gain insights on participants' experience in an emergent context of networked learning, namely a MOOC--Massive Online Open…

Planning & Priority Setting for Basic Research

DTIC Science & Technology

2010-05-05

Integrated into numerous commercial codes in aerospace, automotive , semiconductor, and chemical industries Fast Multipole Methods (ONR 31) Applications... Use knowledge (even failures) to reduce risk in acquisition Provide the basis for future Navy and arine Corps syste s Ensure research...relevancy to Naval S&T strategy Transition pro ising Basic Research to applications Use kno ledge (even failures) to reduce risk in acquisition Maintain

Looking for trees in the forest: summary tree from posterior samples

PubMed Central

2013-01-01

Background Bayesian phylogenetic analysis generates a set of trees which are often condensed into a single tree representing the whole set. Many methods exist for selecting a representative topology for a set of unrooted trees, few exist for assigning branch lengths to a fixed topology, and even fewer for simultaneously setting the topology and branch lengths. However, there is very little research into locating a good representative for a set of rooted time trees like the ones obtained from a BEAST analysis. Results We empirically compare new and known methods for generating a summary tree. Some new methods are motivated by mathematical constructions such as tree metrics, while the rest employ tree concepts which work well in practice. These use more of the posterior than existing methods, which discard information not directly mapped to the chosen topology. Using results from a large number of simulations we assess the quality of a summary tree, measuring (a) how well it explains the sequence data under the model and (b) how close it is to the “truth”, i.e to the tree used to generate the sequences. Conclusions Our simulations indicate that no single method is “best”. Methods producing good divergence time estimates have poor branch lengths and lower model fit, and vice versa. Using the results presented here, a user can choose the appropriate method based on the purpose of the summary tree. PMID:24093883

Looking for trees in the forest: summary tree from posterior samples.

PubMed

Heled, Joseph; Bouckaert, Remco R

2013-10-04

Bayesian phylogenetic analysis generates a set of trees which are often condensed into a single tree representing the whole set. Many methods exist for selecting a representative topology for a set of unrooted trees, few exist for assigning branch lengths to a fixed topology, and even fewer for simultaneously setting the topology and branch lengths. However, there is very little research into locating a good representative for a set of rooted time trees like the ones obtained from a BEAST analysis. We empirically compare new and known methods for generating a summary tree. Some new methods are motivated by mathematical constructions such as tree metrics, while the rest employ tree concepts which work well in practice. These use more of the posterior than existing methods, which discard information not directly mapped to the chosen topology. Using results from a large number of simulations we assess the quality of a summary tree, measuring (a) how well it explains the sequence data under the model and (b) how close it is to the "truth", i.e to the tree used to generate the sequences. Our simulations indicate that no single method is "best". Methods producing good divergence time estimates have poor branch lengths and lower model fit, and vice versa. Using the results presented here, a user can choose the appropriate method based on the purpose of the summary tree.

Stakeholders understanding of the concept of benefit sharing in health research in Kenya: a qualitative study

PubMed Central

2011-01-01

Background The concept of benefit sharing to enhance the social value of global health research in resource poor settings is now a key strategy for addressing moral issues of relevance to individuals, communities and host countries in resource poor settings when they participate in international collaborative health research. The influence of benefit sharing framework on the conduct of collaborative health research is for instance evidenced by the number of publications and research ethics guidelines that require prior engagement between stakeholders to determine the social value of research to the host communities. While such efforts as the production of international guidance on how to promote the social value of research through such strategies as benefit sharing have been made, the extent to which these ideas and guidelines have been absorbed by those engaged in global health research especially in resource poor settings remains unclear. We examine this awareness among stakeholders involved in health related research in Kenya. Methods We conducted in-depth interviews with key informants drawn from within the broader health research system in Kenya including researchers from the mainstream health research institutions, networks and universities, teaching hospitals, policy makers, institutional review boards, civil society organisations and community representative groups. Results Our study suggests that although people have a sense of justice and the moral aspects of research, this was not articulated in terms used in the literature and the guidelines on the ethics of global health research. Conclusion This study demonstrates that while in theory several efforts can be made to address the moral issues of concern to research participants and their communities in resource poor settings, quick fixes such as benefit sharing are not going to be straightforward. We suggest a need to pay closer attention to the processes through which ethical principles are enacted in practice and distil lessons on how best to involve individuals and communities in promoting ethical conduct of global health research in resource poor settings. PMID:21961798

Multiscale Exploration of Mouse Brain Microstructures Using the Knife-Edge Scanning Microscope Brain Atlas

PubMed Central

Chung, Ji Ryang; Sung, Chul; Mayerich, David; Kwon, Jaerock; Miller, Daniel E.; Huffman, Todd; Keyser, John; Abbott, Louise C.; Choe, Yoonsuck

2011-01-01

Connectomics is the study of the full connection matrix of the brain. Recent advances in high-throughput, high-resolution 3D microscopy methods have enabled the imaging of whole small animal brains at a sub-micrometer resolution, potentially opening the road to full-blown connectomics research. One of the first such instruments to achieve whole-brain-scale imaging at sub-micrometer resolution is the Knife-Edge Scanning Microscope (KESM). KESM whole-brain data sets now include Golgi (neuronal circuits), Nissl (soma distribution), and India ink (vascular networks). KESM data can contribute greatly to connectomics research, since they fill the gap between lower resolution, large volume imaging methods (such as diffusion MRI) and higher resolution, small volume methods (e.g., serial sectioning electron microscopy). Furthermore, KESM data are by their nature multiscale, ranging from the subcellular to the whole organ scale. Due to this, visualization alone is a huge challenge, before we even start worrying about quantitative connectivity analysis. To solve this issue, we developed a web-based neuroinformatics framework for efficient visualization and analysis of the multiscale KESM data sets. In this paper, we will first provide an overview of KESM, then discuss in detail the KESM data sets and the web-based neuroinformatics framework, which is called the KESM brain atlas (KESMBA). Finally, we will discuss the relevance of the KESMBA to connectomics research, and identify challenges and future directions. PMID:22275895

Proceedings of the First International Research Workshop for Process Improvement in Small Settings, 2005

DTIC Science & Technology

2006-01-01

at TrialStat Corporation, a software company that develops applications for clinical research and drug development, and a senior consultant with...Research.” Proceedings of the conference on Designing interactive systems: processes, practices, methods, and techniques. New York, NY: ACM Press, 2000...Rogers 97] Rogers, Yvonne & Victoria. Bellotti. "Grounding Blue-Sky Research: How can Ethnography Help." ACM Interactions Magazine (May-June 1997

Research priorities for adolescent health in low- and middle-income countries: A mixed-methods synthesis of two separate exercises.

PubMed

Nagata, Jason M; Hathi, Sejal; Ferguson, B Jane; Hindin, Michele J; Yoshida, Sachiyo; Ross, David A

2018-06-01

In order to clarify priorities and stimulate research in adolescent health in low- and middle-income countries (LMICs), the World Health Organization (WHO) conducted two priority-setting exercises based on the Child Health and Nutrition Research Initiative (CHNRI) methodology related to 1) adolescent sexual and reproductive health and 2) eight areas of adolescent health including communicable diseases prevention and management, injuries and violence, mental health, non-communicable diseases management, nutrition, physical activity, substance use, and health policy. Although the CHNRI methodology has been utilized in over 50 separate research priority setting exercises, none have qualitatively synthesized the ultimate findings across studies. The purpose of this study was to conduct a mixed-method synthesis of two research priority-setting exercises for adolescent health in LMICs based on the CHNRI methodology and to situate the priority questions within the current global health agenda. All of the 116 top-ranked questions presented in each exercise were analyzed by two independent reviewers. Word clouds were generated based on keywords from the top-ranked questions. Questions were coded and content analysis was conducted based on type of delivery platform, vulnerable populations, and the Survive, Thrive, and Transform framework from the United Nations Global Strategy for Women's, Children's, and Adolescents' Health, 2016-2030. Within the 53 top-ranked intervention-related questions that specified a delivery platform, the platforms specified were schools (n = 17), primary care (n = 12), community (n = 11), parenting (n = 6), virtual media (n = 5), and peers (n = 2). Twenty questions specifically focused on vulnerable adolescents, including those living with HIV, tuberculosis, mental illness, or neurodevelopmental disorders; victims of gender-based violence; refugees; young persons who inject drugs; sex workers; slum dwellers; out-of-school youth; and youth in armed conflict. A majority of the top-ranked questions (108/116) aligned with one or a combination of the Survive (n = 39), Thrive (n = 67), and Transform (n = 28) agendas. This study advances the CHNRI methodology by conducting the first mixed-methods synthesis of multiple research priority-setting exercises by analyzing keywords (using word clouds) and themes (using content analysis).

Action Research Using Entomological Research to Promote Hands-On Science Inquiry in a High-Poverty, Midwest Urban High School

NASA Astrophysics Data System (ADS)

Stockmann, Dustin

The purpose of this mixed-methods action research study was to examine to what extent entomological research can promote students' hands-on learning in a high-poverty, urban, secondary setting. In reviewing the literature, the researcher was not able to find a specific study that investigated how entomological research could promote the hands-on learning of students. The researcher did find evidence that research on learning in a secondary setting was important to student growth. It should also be noted that support was established for the implementation of hands-on science inquiry in the classroom setting. The study's purpose was to aid educators in their instruction by combining research-based strategies and hands-on science inquiry. The surveys asked 30 students to rate their understanding of three basic ideas. These core ideas were entomological research, hands-on science inquiry, and urban studies. These core ideas provided the foundation for the study. The questionnaires were based on follow-up ideas from the surveys. Two interview sessions were used to facilitate this one-on-one focus. Because the study included only 30 student participants, its findings may not be totally replicable. Further study investigating the links between entomological research and hands-on science learning in an urban environment is needed.

Supporting research sites in resource-limited settings: Challenges in implementing IT infrastructure

PubMed Central

Whalen, Christopher; Donnell, Deborah; Tartakovsky, Michael

2014-01-01

As Information and Communication Technology infrastructure becomes more reliable, new methods of Electronic Data Capture (EDC), datamarts/Data warehouses, and mobile computing provide platforms for rapid coordination of international research projects and multisite studies. However, despite the increasing availability of internet connectivity and communication systems in remote regions of the world, there are still significant obstacles. Sites with poor infrastructure face serious challenges participating in modern clinical and basic research, particularly that relying on EDC and internet communication technologies. This report discusses our experiences in supporting research in resource-limited settings (RLS). We describe examples of the practical and ethical/regulatory challenges raised by use of these newer technologies for data collection in multisite clinical studies. PMID:24321986

Supporting research sites in resource-limited settings: challenges in implementing information technology infrastructure.

PubMed

Whalen, Christopher J; Donnell, Deborah; Tartakovsky, Michael

2014-01-01

As information and communication technology infrastructure becomes more reliable, new methods of electronic data capture, data marts/data warehouses, and mobile computing provide platforms for rapid coordination of international research projects and multisite studies. However, despite the increasing availability of Internet connectivity and communication systems in remote regions of the world, there are still significant obstacles. Sites with poor infrastructure face serious challenges participating in modern clinical and basic research, particularly that relying on electronic data capture and Internet communication technologies. This report discusses our experiences in supporting research in resource-limited settings. We describe examples of the practical and ethical/regulatory challenges raised by the use of these newer technologies for data collection in multisite clinical studies.

Benchmarking of London Dispersion-Accounting Density Functional Theory Methods on Very Large Molecular Complexes.

PubMed

Risthaus, Tobias; Grimme, Stefan

2013-03-12

A new test set (S12L) containing 12 supramolecular noncovalently bound complexes is presented and used to evaluate seven different methods to account for dispersion in DFT (DFT-D3, DFT-D2, DFT-NL, XDM, dDsC, TS-vdW, M06-L) at different basis set levels against experimental, back-corrected reference energies. This allows conclusions about the performance of each method in an explorative research setting on "real-life" problems. Most DFT methods show satisfactory performance but, due to the largeness of the complexes, almost always require an explicit correction for the nonadditive Axilrod-Teller-Muto three-body dispersion interaction to get accurate results. The necessity of using a method capable of accounting for dispersion is clearly demonstrated in that the two-body dispersion contributions are on the order of 20-150% of the total interaction energy. MP2 and some variants thereof are shown to be insufficient for this while a few tested D3-corrected semiempirical MO methods perform reasonably well. Overall, we suggest the use of this benchmark set as a "sanity check" against overfitting to too small molecular cases.

Speech emotion recognition methods: A literature review

NASA Astrophysics Data System (ADS)

Basharirad, Babak; Moradhaseli, Mohammadreza

2017-10-01

Recently, attention of the emotional speech signals research has been boosted in human machine interfaces due to availability of high computation capability. There are many systems proposed in the literature to identify the emotional state through speech. Selection of suitable feature sets, design of a proper classifications methods and prepare an appropriate dataset are the main key issues of speech emotion recognition systems. This paper critically analyzed the current available approaches of speech emotion recognition methods based on the three evaluating parameters (feature set, classification of features, accurately usage). In addition, this paper also evaluates the performance and limitations of available methods. Furthermore, it highlights the current promising direction for improvement of speech emotion recognition systems.

Prognostic score–based balance measures for propensity score methods in comparative effectiveness research

PubMed Central

Stuart, Elizabeth A.; Lee, Brian K.; Leacy, Finbarr P.

2013-01-01

Objective Examining covariate balance is the prescribed method for determining when propensity score methods are successful at reducing bias. This study assessed the performance of various balance measures, including a proposed balance measure based on the prognostic score (also known as the disease-risk score), to determine which balance measures best correlate with bias in the treatment effect estimate. Study Design and Setting The correlations of multiple common balance measures with bias in the treatment effect estimate produced by weighting by the odds, subclassification on the propensity score, and full matching on the propensity score were calculated. Simulated data were used, based on realistic data settings. Settings included both continuous and binary covariates and continuous covariates only. Results The standardized mean difference in prognostic scores, the mean standardized mean difference, and the mean t-statistic all had high correlations with bias in the effect estimate. Overall, prognostic scores displayed the highest correlations of all the balance measures considered. Prognostic score measure performance was generally not affected by model misspecification and performed well under a variety of scenarios. Conclusion Researchers should consider using prognostic score–based balance measures for assessing the performance of propensity score methods for reducing bias in non-experimental studies. PMID:23849158

The use of qualitative methods to inform Delphi surveys in core outcome set development.

PubMed

Keeley, T; Williamson, P; Callery, P; Jones, L L; Mathers, J; Jones, J; Young, B; Calvert, M

2016-05-04

Core outcome sets (COS) help to minimise bias in trials and facilitate evidence synthesis. Delphi surveys are increasingly being used as part of a wider process to reach consensus about what outcomes should be included in a COS. Qualitative research can be used to inform the development of Delphi surveys. This is an advance in the field of COS development and one which is potentially valuable; however, little guidance exists for COS developers on how best to use qualitative methods and what the challenges are. This paper aims to provide early guidance on the potential role and contribution of qualitative research in this area. We hope the ideas we present will be challenged, critiqued and built upon by others exploring the role of qualitative research in COS development. This paper draws upon the experiences of using qualitative methods in the pre-Delphi stage of the development of three different COS. Using these studies as examples, we identify some of the ways that qualitative research might contribute to COS development, the challenges in using such methods and areas where future research is required. Qualitative research can help to identify what outcomes are important to stakeholders; facilitate understanding of why some outcomes may be more important than others, determine the scope of outcomes; identify appropriate language for use in the Delphi survey and inform comparisons between stakeholder data and other sources, such as systematic reviews. Developers need to consider a number of methodological points when using qualitative research: specifically, which stakeholders to involve, how to sample participants, which data collection methods are most appropriate, how to consider outcomes with stakeholders and how to analyse these data. A number of areas for future research are identified. Qualitative research has the potential to increase the research community's confidence in COS, although this will be dependent upon using rigorous and appropriate methodology. We have begun to identify some issues for COS developers to consider in using qualitative methods to inform the development of Delphi surveys in this article.

How to test validity in orthodontic research: a mixed dentition analysis example.

PubMed

Donatelli, Richard E; Lee, Shin-Jae

2015-02-01

The data used to test the validity of a prediction method should be different from the data used to generate the prediction model. In this study, we explored whether an independent data set is mandatory for testing the validity of a new prediction method and how validity can be tested without independent new data. Several validation methods were compared in an example using the data from a mixed dentition analysis with a regression model. The validation errors of real mixed dentition analysis data and simulation data were analyzed for increasingly large data sets. The validation results of both the real and the simulation studies demonstrated that the leave-1-out cross-validation method had the smallest errors. The largest errors occurred in the traditional simple validation method. The differences between the validation methods diminished as the sample size increased. The leave-1-out cross-validation method seems to be an optimal validation method for improving the prediction accuracy in a data set with limited sample sizes. Copyright © 2015 American Association of Orthodontists. Published by Elsevier Inc. All rights reserved.

The Study of Imperfection in Rough Set on the Field of Engineering and Education

NASA Astrophysics Data System (ADS)

Sheu, Tian-Wei; Liang, Jung-Chin; You, Mei-Li; Wen, Kun-Li

Based on the characteristic of rough set, rough set theory overlaps with many other theories, especially with fuzzy set theory, evidence theory and Boolean reasoning methods. And the rough set methodology has found many real-life applications, such as medical data analysis, finance, banking, engineering, voice recognition, image processing and others. Till now, there is rare research associating to this issue in the imperfection of rough set. Hence, the main purpose of this paper is to study the imperfection of rough set in the field of engineering and education. First of all, we preview the mathematics model of rough set, and a given two examples to enhance our approach, which one is the weighting of influence factor in muzzle noise suppressor, and the other is the weighting of evaluation factor in English learning. Third, we also apply Matlab to develop a complete human-machine interface type of toolbox in order to support the complex calculation and verification the huge data. Finally, some further suggestions are indicated for the research in the future.

Norms for 10,491 Spanish words for five discrete emotions: Happiness, disgust, anger, fear, and sadness.

PubMed

Stadthagen-González, Hans; Ferré, Pilar; Pérez-Sánchez, Miguel A; Imbault, Constance; Hinojosa, José Antonio

2017-09-18

The discrete emotion theory proposes that affective experiences can be reduced to a limited set of universal "basic" emotions, most commonly identified as happiness, sadness, anger, fear, and disgust. Here we present norms for 10,491 Spanish words for those five discrete emotions collected from a total of 2,010 native speakers, making it the largest set of norms for discrete emotions in any language to date. When used in conjunction with the norms from Hinojosa, Martínez-García et al. (Behavior Research Methods, 48, 272-284, 2016) and Ferré, Guasch, Martínez-García, Fraga, & Hinojosa (Behavior Research Methods, 49, 1082-1094, 2017), researchers now have access to ratings of discrete emotions for 13,633 Spanish words. Our norms show a high degree of inter-rater reliability and correlate highly with those from Ferré et al. (2017). Our exploration of the relationship between the five discrete emotions and relevant lexical and emotional variables confirmed findings of previous studies conducted with smaller datasets. The availability of such large set of norms will greatly facilitate the study of emotion, language and related fields. The norms are available as supplementary materials to this article.

Evolution of self-reporting methods for identifying discrete emotions in science classrooms

NASA Astrophysics Data System (ADS)

Ritchie, Stephen M.; Hudson, Peter; Bellocchi, Alberto; Henderson, Senka; King, Donna; Tobin, Kenneth

2016-09-01

Emotion researchers have grappled with challenging methodological issues in capturing emotions of participants in naturalistic settings such as school or university classrooms. Self-reporting methods have been used frequently, yet these methods are inadequate when used alone. We argue that the self-reporting methods of emotion diaries and cogenerative dialogues can be helpful in identifying in-the-moment emotions when used in conjunction with the microanalysis of video recordings of classroom events. We trace the evolution of our use of innovative self-reporting methods through three cases from our research projects, and propose new directions for our ongoing development and application of these methods in both school and university classrooms.

Research for better health: the Panamanian priority-setting experience and the need for a new process

PubMed Central

2014-01-01

Background Panama is, economically, the fastest growing country in Central America and is making efforts to improve management mechanisms for research and innovation. However, due to contextual factors, the Panamanian Health Research System is not well developed and is poorly coordinated with the Health System. Likewise, despite recent efforts to define a National Health Research Agenda, implementing this agenda and aligning it with Panamanians’ health needs remains difficult. This articles aims to review Panama’s experience in health research priority setting by analyzing the fairness of previous prioritization processes in order to promote an agreed-upon national agenda aligned with public health needs. Methods The three health research prioritization processes performed in Panama between 2006 and 2011 were analyzed based on the guidelines established by the four “Accountability for Reasonableness” principles, namely “relevance”, “publicity”, “revision”, and “enforcement”, which provide a framework for evaluating priority-setting fairness. Results The three health research priority-setting events performed in Panama during the reference period demonstrated a heterogeneous pattern of decision-making strategies, stakeholder group composition, and prioritization outcomes. None of the three analyzed events featured an open discussion process with the scientific community, health care providers, or civil society in order to reach consensus. Conclusions This investigation makes evident the lack of a strategy to encourage open discussion by the multiple stakeholders and interest groups that should be involved during the priority-setting process. The analysis reveals the need for a new priority-setting exercise that validates the National Agenda, promotes its implementation by the National Secretariat for Science, Technology and Innovation in conjunction with the Ministry of Health, and empowers multiple stakeholders; such an exercise would, in turn, favor the implementation of the agenda. PMID:25117661

Research Results Ultra-fast Energy Transfer from Monomer to Dimer within a Trimeric Molecule New Progress in Heterogeneous Catalysis Research Key Progress in Research on Terrestrial Carbon Cycle in China A New Progress in Research on the Mechanism of Bio-Invasion New Findings in Anti-viral infection and Control of Inflammation Major Headway in Avian Origin Research New Progress in Gold-Nanoparticle-Based Biochips Topological Insulator Research Made Important Progress Major Progress in Biodiversity Achieved New Developments of Direct Methods in Protein Crystallography Major Progress in China-UK Collaboration on the Causal Relationship between Volcanic Activity and Biological Distinction News in Brief: NSFC set up "Research Fund for Young Foreign Scholars" How Often Does Human DNA Mutate? Research Progress on Colossal Anisotropic Magneto Resistive Effect

NASA Astrophysics Data System (ADS)

2009-01-01

Ultra-fast Energy Transfer from Monomer to Dimer within a Trimeric Molecule New Progress in Heterogeneous Catalysis Research Key Progress in Research on Terrestrial Carbon Cycle in China A New Progress in Research on the Mechanism of Bio-Invasion New Findings in Anti-viral infection and Control of Inflammation Major Headway in Avian Origin Research New Progress in Gold-Nanoparticle-Based Biochips Topological Insulator Research Made Important Progress Major Progress in Biodiversity Achieved New Developments of Direct Methods in Protein Crystallography Major Progress in China-UK Collaboration on the Causal Relationship between Volcanic Activity and Biological Distinction News in Brief: NSFC set up "Research Fund for Young Foreign Scholars" How Often Does Human DNA Mutate? Research Progress on Colossal Anisotropic Magneto Resistive Effect

[Noninvasive total hemoglobin monitoring based on multiwave spectrophotometry in obstetrics and gynecology].

PubMed

Pyregov, A V; Ovechkin, A Iu; Petrov, S V

2012-01-01

Results of prospective randomized comparative research of 2 total hemoglobin estimation methods are presented. There were laboratory tests and continuous noninvasive technique with multiwave spectrophotometry on the Masimo Rainbow SET. Research was carried out in two stages. At the 1st stage (gynecology)--67 patients were included and in second stage (obstetrics)--44 patients during and after Cesarean section. The standard deviation of noninvasive total hemoglobin estimation from absolute values (invasive) was 7.2 and 4.1%, an standard deviation in a sample--5.2 and 2.7 % in gynecologic operations and surgical delivery respectively, that confirms lack of reliable indicators differences. The method of continuous noninvasive total hemoglobin estimation with multiwave spectrophotometry on the Masimo Rainbow SET technology can be recommended for use in obstetrics and gynecology.

An integrated methods study of the experiences of youth with severe disabilities in leisure activity settings: the importance of belonging, fun, and control and choice.

PubMed

King, Gillian; Gibson, Barbara E; Mistry, Bhavnita; Pinto, Madhu; Goh, Freda; Teachman, Gail; Thompson, Laura

2014-01-01

The aim was to examine the leisure activity setting experiences of two groups of youth with severe disabilities - those with complex continuing care (CCC) needs and those who have little functional speech and communicate using augmentative and alternative communication (AAC). Twelve youth took part in a mixed methods study, in which their experiences were ascertained using qualitative methods (observations, photo elicitation and interviews) and the measure of Self-Reported Experiences of Activity Settings (SEAS). Data integration occurred using a "following a thread" technique and case-by-case analysis. The analysis revealed several highly valued aspects of leisure activity setting experiences for youth, including engagement with others, enjoying the moment, and control and choice in selection and participation in activity settings. The findings provide preliminary insights into the nature of optimal activity settings for youth with severe disabilities, and the mediators of these experiences. Compared to other youth, the data illustrate both the commonalities of experiences and differences in the ways in which these experiences are attained. Implications for research concern the utility of mixed methods approaches in understanding the complex nature of participation experiences. Implications for clinical practice concern the importance of not assuming the nature of youths' experiences.

Identifying nurse staffing research in Medline: development and testing of empirically derived search strategies with the PubMed interface

PubMed Central

2010-01-01

Background The identification of health services research in databases such as PubMed/Medline is a cumbersome task. This task becomes even more difficult if the field of interest involves the use of diverse methods and data sources, as is the case with nurse staffing research. This type of research investigates the association between nurse staffing parameters and nursing and patient outcomes. A comprehensively developed search strategy may help identify nurse staffing research in PubMed/Medline. Methods A set of relevant references in PubMed/Medline was identified by means of three systematic reviews. This development set was used to detect candidate free-text and MeSH terms. The frequency of these terms was compared to a random sample from PubMed/Medline in order to identify terms specific to nurse staffing research, which were then used to develop a sensitive, precise and balanced search strategy. To determine their precision, the newly developed search strategies were tested against a) the pool of relevant references extracted from the systematic reviews, b) a reference set identified from an electronic journal screening, and c) a sample from PubMed/Medline. Finally, all newly developed strategies were compared to PubMed's Health Services Research Queries (PubMed's HSR Queries). Results The sensitivities of the newly developed search strategies were almost 100% in all of the three test sets applied; precision ranged from 6.1% to 32.0%. PubMed's HSR queries were less sensitive (83.3% to 88.2%) than the new search strategies. Only minor differences in precision were found (5.0% to 32.0%). Conclusions As with other literature on health services research, nurse staffing studies are difficult to identify in PubMed/Medline. Depending on the purpose of the search, researchers can choose between high sensitivity and retrieval of a large number of references or high precision, i.e. and an increased risk of missing relevant references, respectively. More standardized terminology (e.g. by consistent use of the term "nurse staffing") could improve the precision of future searches in this field. Empirically selected search terms can help to develop effective search strategies. The high consistency between all test sets confirmed the validity of our approach. PMID:20731858

Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease.

PubMed

Azuaje, Francisco; Zheng, Huiru; Camargo, Anyela; Wang, Haiying

2011-08-01

The discovery of novel disease biomarkers is a crucial challenge for translational bioinformatics. Demonstration of both their classification power and reproducibility across independent datasets are essential requirements to assess their potential clinical relevance. Small datasets and multiplicity of putative biomarker sets may explain lack of predictive reproducibility. Studies based on pathway-driven discovery approaches have suggested that, despite such discrepancies, the resulting putative biomarkers tend to be implicated in common biological processes. Investigations of this problem have been mainly focused on datasets derived from cancer research. We investigated the predictive and functional concordance of five methods for discovering putative biomarkers in four independently-generated datasets from the cardiovascular disease domain. A diversity of biosignatures was identified by the different methods. However, we found strong biological process concordance between them, especially in the case of methods based on gene set analysis. With a few exceptions, we observed lack of classification reproducibility using independent datasets. Partial overlaps between our putative sets of biomarkers and the primary studies exist. Despite the observed limitations, pathway-driven or gene set analysis can predict potentially novel biomarkers and can jointly point to biomedically-relevant underlying molecular mechanisms. Copyright © 2011 Elsevier Inc. All rights reserved.

A comparative research of different ensemble surrogate models based on set pair analysis for the DNAPL-contaminated aquifer remediation strategy optimization.

PubMed

Hou, Zeyu; Lu, Wenxi; Xue, Haibo; Lin, Jin

2017-08-01

Surrogate-based simulation-optimization technique is an effective approach for optimizing the surfactant enhanced aquifer remediation (SEAR) strategy for clearing DNAPLs. The performance of the surrogate model, which is used to replace the simulation model for the aim of reducing computation burden, is the key of corresponding researches. However, previous researches are generally based on a stand-alone surrogate model, and rarely make efforts to improve the approximation accuracy of the surrogate model to the simulation model sufficiently by combining various methods. In this regard, we present set pair analysis (SPA) as a new method to build ensemble surrogate (ES) model, and conducted a comparative research to select a better ES modeling pattern for the SEAR strategy optimization problems. Surrogate models were developed using radial basis function artificial neural network (RBFANN), support vector regression (SVR), and Kriging. One ES model is assembling RBFANN model, SVR model, and Kriging model using set pair weights according their performance, and the other is assembling several Kriging (the best surrogate modeling method of three) models built with different training sample datasets. Finally, an optimization model, in which the ES model was embedded, was established to obtain the optimal remediation strategy. The results showed the residuals of the outputs between the best ES model and simulation model for 100 testing samples were lower than 1.5%. Using an ES model instead of the simulation model was critical for considerably reducing the computation time of simulation-optimization process and maintaining high computation accuracy simultaneously. Copyright © 2017 Elsevier B.V. All rights reserved.

Qualitative psychotherapy research: the journey so far and future directions.

PubMed

Levitt, Heidi M

2015-03-01

This article documents the evolution of qualitative psychotherapy research over the past 3 decades. Clients' and therapists' accounts of their experiences in psychotherapy provide a window into the psychotherapy relationship and its mechanisms of change. A sizable body of literature has been generated that uses qualitative methods to collect and analyze these accounts and to shed light on the psychotherapy process. It notes changes in the field such as growing numbers of dissertations and publications using qualitative methods as well as a strengthening emphasis on qualitative research within graduate education and research funding bodies. Future recommendations include developing principles for practice from qualitative methods and conducting qualitative meta-analyses. Other recommendations include forming journal review policies that support the publication of qualitative research and that focus on coherence in adapting methods to meet research goals, in light of a study's characteristics and epistemological framework, rather than focusing on sets of procedures. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Art and science in health care research: pushing at open doors or locked in institutions?

PubMed

Freshwater, Dawn; Cahill, Jane; Walsh, Elizabeth; Muncey, Tessa; Esterhuizen, Philip

2012-09-01

Research methods are usually dictated and driven by the research question. In the context of research in "closed" systems--for example, offender health settings--it is imperative that the research question takes into consideration the context in which the research is located. Conducting research that has action, transformation, and creativity at its heart is a significant challenge in closed cultures, for both the researcher and the researched. Using two exemplars, we question whether researchers should adopt a safe approach to researching these closed cultures and to what extent they should engage in methodological tensions and ethical dilemmas that provoke and support reflection on change. By reflecting on our previous research studies, we aim not so much to provide a definitive answer to this question but to suggest that researchers give careful consideration to the methods appropriate to both the context of the research and its purpose.

Brain imaging in the study of Alzheimer's disease.

PubMed

Reiman, Eric M; Jagust, William J

2012-06-01

Over the last 20 years, there has been extraordinary progress in brain imaging research and its application to the study of Alzheimer's disease (AD). Brain imaging researchers have contributed to the scientific understanding, early detection and tracking of AD. They have set the stage for imaging techniques to play growing roles in the clinical setting, the evaluation of disease-modifying treatments, and the identification of demonstrably effective prevention therapies. They have developed ground-breaking methods, including positron emission tomography (PET) ligands to measure fibrillar amyloid-β (Aβ) deposition, new magnetic resonance imaging (MRI) pulse sequences, and powerful image analysis techniques, to help in these endeavors. Additional work is needed to develop even more powerful imaging methods, to further clarify the relationship and time course of Aβ and other disease processes in the predisposition to AD, to establish the role of brain imaging methods in the clinical setting, and to provide the scientific means and regulatory approval pathway needed to evaluate the range of promising disease-modifying and prevention therapies as quickly as possible. Twenty years from now, AD may not yet be a distant memory, but the best is yet to come. Copyright © 2011 Elsevier Inc. All rights reserved.

BRAIN IMAGING IN THE STUDY OF ALZHEIMER'S DISEASE

PubMed Central

Reiman, Eric M.; Jagust, William J.

2012-01-01

Over the last 20 years, there has been extraordinary progress in brain imaging research and its application to the study of Alzheimer's disease (AD). Brain imaging researchers have contributed to the scientific understanding, early detection and tracking of AD. They have set the stage for imaging techniques to play growing roles in the clinical setting, the evaluation of disease-modifying treatments, and the identification of demonstrably effective prevention therapies. They have developed ground-breaking methods, including positron emission tomography (PET) ligands to measure fibrillar amyloid-β (Aβ) deposition, new magnetic resonance imaging (MRI) pulse sequences, and powerful image analysis techniques, to help in these endeavors. Additional work is needed to develop even more powerful imaging methods, to further clarify the relationship and time course of Aβ and other disease processes in the predisposition to AD, to establish the role of brain imaging methods in the clinical setting, and to provide the scientific means and regulatory approval pathway needed to evaluate the range of promising disease-modifying and prevention therapies as quickly as possible. Twenty years from now, AD may not yet be a distant memory, but the best is yet to come. PMID:22173295

The trials methodological research agenda: results from a priority setting exercise.

PubMed

Tudur Smith, Catrin; Hickey, Helen; Clarke, Mike; Blazeby, Jane; Williamson, Paula

2014-01-23

Research into the methods used in the design, conduct, analysis, and reporting of clinical trials is essential to ensure that effective methods are available and that clinical decisions made using results from trials are based on the best available evidence, which is reliable and robust. An on-line Delphi survey of 48 UK Clinical Research Collaboration registered Clinical Trials Units (CTUs) was undertaken. During round one, CTU Directors were asked to identify important topics that require methodological research. During round two, their opinion about the level of importance of each topic was recorded, and during round three, they were asked to review the group's average opinion and revise their previous opinion if appropriate. Direct reminders were sent to maximise the number of responses at each round. Results are summarised using descriptive methods. Forty one (85%) CTU Directors responded to at least one round of the Delphi process: 25 (52%) responded in round one, 32 (67%) responded in round two, 24 (50%) responded in round three. There were only 12 (25%) who responded to all three rounds and 18 (38%) who responded to both rounds two and three. Consensus was achieved amongst CTU Directors that the top three priorities for trials methodological research were 'Research into methods to boost recruitment in trials' (considered the highest priority), 'Methods to minimise attrition' and 'Choosing appropriate outcomes to measure'. Fifty other topics were included in the list of priorities and consensus was reached that two topics, 'Radiotherapy study designs' and 'Low carbon trials', were not priorities. This priority setting exercise has identified the research topics felt to be most important to the key stakeholder group of Directors of UKCRC registered CTUs. The use of robust methodology to identify these priorities will help ensure that this work informs the trials methodological research agenda, with a focus on topics that will have most impact and relevance.

A Comparison of Approaches for Setting Proficiency Standards.

ERIC Educational Resources Information Center

Koffler, Stephen L.

This research compared the cut-off scores estimated from an empirical procedure (Contrasting group method) to those determined from a more theoretical process (Nedelsky method). A methodological and statistical framework was also provided for analysis of the data to obtain the most appropriate standard using the empirical procedure. Data were…

On the Need for Practical Formal Methods

DTIC Science & Technology

1998-01-01

additional research and engineering that is needed to make the current set of formal methods more practical. To illustrate the ideas, I present several exam ...either a good violin or a highly talented violinist. Light-weight techniques o er software developers good violins . A user need not be a talented

Setting stroke research priorities: The consumer perspective.

PubMed

Sangvatanakul, Pukkaporn; Hillege, Sharon; Lalor, Erin; Levi, Christopher; Hill, Kelvin; Middleton, Sandy

2010-12-01

To test a method of engaging consumers in research priority-setting using a quantitative approach and to determine consumer views on stroke research priorities for clinical practice recommendations with lower levels of evidence (Level III and Level IV) and expert consensus opinion as published in the Australian stroke clinical practice guidelines. Survey Urban community Eighteen stroke survivors (n = 12) and carers (n = 6) who were members of the "Working Aged Group - Stroke" (WAGS) consumer support group. Phase I: Participants were asked whether recommendations were "worth" researching ("yes" or "no"); and, if researched, what potential impact they likely would have on patient outcomes. Phase II: Participants were asked to rank recommendations rated by more than 75% of participants in Phase I as "worth" researching and "highly likely" or "likely" to generate research with a significant effect on patient outcomes (n = 13) in order of priority for future stroke research. All recommendations were rated by at least half (n = 9, 50%) of participants as "worth" researching. The majority (67% to 100%) rated all recommendations as "highly likely" or "likely" that research would have a significant effect on patient outcomes. Thirteen out of 20 recommendations were ranked for their research priorities. Recommendations under the topic heading Getting to hospital were ranked highest and Organization of care and Living with stroke were ranked as a lower priority for research. This study provided an example of how to involve consumers in research priority setting successfully using a quantitative approach. Stroke research priorities from the consumer perspective were different from those of health professionals, as published in the literature; thus, consumer opinion should be considered when setting research priorities. Copyright © 2010 Society for Vascular Nursing, Inc. Published by Mosby, Inc. All rights reserved.

Methods for measuring utilization of mental health services in two epidemiologic studies

PubMed Central

NOVINS, DOUGLAS K.; BEALS, JANETTE; CROY, CALVIN; MANSON, SPERO M.

2015-01-01

Objectives of Study Psychiatric epidemiologic studies often include two or more sets of questions regarding service utilization, but the agreement across these different questions and the factors associated with their endorsement have not been examined. The objectives of this study were to describe the agreement of different sets of mental health service utilization questions that were included in the American Indian Service Utilization Psychiatric Epidemiology Risk and Protective Factors Project (AI-SUPERPFP), and compare the results to similar questions included in the baseline National Comorbidity Survey (NCS). Methods Responses to service utilization questions by 2878 AI-SUPERPFP and 5877 NCS participants were examined by calculating estimates of service use and agreement (κ) across the different sets of questions. Logistic regression models were developed to identify factors associated with endorsement of specific sets of questions. Results In both studies, estimates of mental health service utilization varied across the different sets of questions. Agreement across the different question sets was marginal to good (κ = 0.27–0.69). Characteristics of identified service users varied across the question sets. Limitations Neither survey included data to examine the validity of participant responses to service utilization questions. Recommendations for Further Research Question wording and placement appear to impact estimates of service utilization in psychiatric epidemiologic studies. Given the importance of these estimates for policy-making, further research into the validity of survey responses as well as impacts of question wording and context on rates of service utilization is warranted. PMID:18767205

The Human Microbiome and Understanding the 16S rRNA Gene in Translational Nursing Science.

PubMed

Ames, Nancy J; Ranucci, Alexandra; Moriyama, Brad; Wallen, Gwenyth R

As more is understood regarding the human microbiome, it is increasingly important for nurse scientists and healthcare practitioners to analyze these microbial communities and their role in health and disease. 16S rRNA sequencing is a key methodology in identifying these bacterial populations that has recently transitioned from use primarily in research to having increased utility in clinical settings. The objectives of this review are to (a) describe 16S rRNA sequencing and its role in answering research questions important to nursing science; (b) provide an overview of the oral, lung, and gut microbiomes and relevant research; and (c) identify future implications for microbiome research and 16S sequencing in translational nursing science. Sequencing using the 16S rRNA gene has revolutionized research and allowed scientists to easily and reliably characterize complex bacterial communities. This type of research has recently entered the clinical setting, one of the best examples involving the use of 16S sequencing to identify resistant pathogens, thereby improving the accuracy of bacterial identification in infection control. Clinical microbiota research and related requisite methods are of particular relevance to nurse scientists-individuals uniquely positioned to utilize these techniques in future studies in clinical settings.

Automatic analysis of nuclear-magnetic-resonance-spectroscopy clinical research data

NASA Astrophysics Data System (ADS)

Scott, Katherine N.; Wilson, David C.; Bruner, Angela P.; Lyles, Teresa A.; Underhill, Brandon; Geiser, Edward A.; Ballinger, J. Ray; Scott, James D.; Stopka, Christine B.

1998-03-01

A major problem of P-31 nuclear magnetic spectroscopy (MRS) in vivo applications is that when large data sets are acquired, the time invested in data reduction and analysis with currently available technologies may totally overshadow the time required for data acquisition. An example is out MRS monitoring of exercise therapy for patients with peripheral vascular disease. In these, the spectral acquisition requires 90 minutes per patient study, whereas data analysis and reduction requires 6-8 hours. Our laboratory currently uses the proprietary software SA/GE developed by General Electric. However, other software packages have similar limitations. When data analysis takes this long, the researcher does not have the rapid feedback required to ascertain the quality of data acquired nor the result of the study. This highly undesirable even in a research environment, but becomes intolerable in the clinical setting. The purpose of this report is to outline progress towards the development of an automated method for eliminating the spectral analysis burden on the researcher working in the clinical setting.

A Bayesian Method for Evaluating and Discovering Disease Loci Associations

PubMed Central

Jiang, Xia; Barmada, M. Michael; Cooper, Gregory F.; Becich, Michael J.

2011-01-01

Background A genome-wide association study (GWAS) typically involves examining representative SNPs in individuals from some population. A GWAS data set can concern a million SNPs and may soon concern billions. Researchers investigate the association of each SNP individually with a disease, and it is becoming increasingly commonplace to also analyze multi-SNP associations. Techniques for handling so many hypotheses include the Bonferroni correction and recently developed Bayesian methods. These methods can encounter problems. Most importantly, they are not applicable to a complex multi-locus hypothesis which has several competing hypotheses rather than only a null hypothesis. A method that computes the posterior probability of complex hypotheses is a pressing need. Methodology/Findings We introduce the Bayesian network posterior probability (BNPP) method which addresses the difficulties. The method represents the relationship between a disease and SNPs using a directed acyclic graph (DAG) model, and computes the likelihood of such models using a Bayesian network scoring criterion. The posterior probability of a hypothesis is computed based on the likelihoods of all competing hypotheses. The BNPP can not only be used to evaluate a hypothesis that has previously been discovered or suspected, but also to discover new disease loci associations. The results of experiments using simulated and real data sets are presented. Our results concerning simulated data sets indicate that the BNPP exhibits both better evaluation and discovery performance than does a p-value based method. For the real data sets, previous findings in the literature are confirmed and additional findings are found. Conclusions/Significance We conclude that the BNPP resolves a pressing problem by providing a way to compute the posterior probability of complex multi-locus hypotheses. A researcher can use the BNPP to determine the expected utility of investigating a hypothesis further. Furthermore, we conclude that the BNPP is a promising method for discovering disease loci associations. PMID:21853025

What Are the Top 10 Research Questions in the Treatment of Inflammatory Bowel Disease? A Priority Setting Partnership with the James Lind Alliance.

PubMed

Hart, Ailsa L; Lomer, Miranda; Verjee, Azmina; Kemp, Karen; Faiz, Omar; Daly, Ann; Solomon, Julie; McLaughlin, John

2017-02-01

Many uncertainties remain regarding optimal therapies and strategies for the treatment of inflammatory bowel disease. Setting research priorities addressing therapies requires a partnership between health care professionals, patients and organisations supporting patients. We aimed to use the structure of the James Lind Alliance Priority Setting Partnership, which has been used in other disease areas, to identify and prioritise unanswered questions about treatments for inflammatory bowel disease. The James Lind Priority Setting Partnership uses methods agreed and adopted in other disease areas to work with patients and clinicians: to identify uncertainties about treatments; to agree by consensus a prioritised list of uncertainties for research; then to translate these uncertainties into research questions which are amenable to hypothesis testing; and finally to take results to research commissioning bodies to be considered for funding. A total of 1636 uncertainties were collected in the initial survey from 531 respondents, which included 22% health care professionals and 78% patients and carers. Using the rigorously applied processes of the priority setting partnership, this list was distilled down to the top 10 research priorities for inflammatory bowel disease. The top priorities were: identifying treatment strategies to optimise efficacy, safety and cost-effectiveness; and stratifying patients with regard to their disease course and treatment response. Diet and symptom control [pain, incontinence and fatigue] were also topics which were prioritised. A partnership involving multidisciplinary clinicians, patients and organisations supporting patients has identified the top 10 research priorities in the treatment of patients with inflammatory bowel disease. © European Crohn’s and Colitis Organisation 2016.

Evaluative Criteria for Qualitative Research in Health Care: Controversies and Recommendations

PubMed Central

Cohen, Deborah J.; Crabtree, Benjamin F.

2008-01-01

PURPOSE We wanted to review and synthesize published criteria for good qualitative research and develop a cogent set of evaluative criteria. METHODS We identified published journal articles discussing criteria for rigorous research using standard search strategies then examined reference sections of relevant journal articles to identify books and book chapters on this topic. A cross-publication content analysis allowed us to identify criteria and understand the beliefs that shape them. RESULTS Seven criteria for good qualitative research emerged: (1) carrying out ethical research; (2) importance of the research; (3) clarity and coherence of the research report; (4) use of appropriate and rigorous methods; (5) importance of reflexivity or attending to researcher bias; (6) importance of establishing validity or credibility; and (7) importance of verification or reliability. General agreement was observed across publications on the first 4 quality dimensions. On the last 3, important divergent perspectives were observed in how these criteria should be applied to qualitative research, with differences based on the paradigm embraced by the authors. CONCLUSION Qualitative research is not a unified field. Most manuscript and grant reviewers are not qualitative experts and are likely to embrace a generic set of criteria rather than those relevant to the particular qualitative approach proposed or reported. Reviewers and researchers need to be aware of this tendency and educate health care researchers about the criteria appropriate for evaluating qualitative research from within the theoretical and methodological framework from which it emerges. PMID:18626033

Priority setting partnership to identify the top 10 research priorities for the management of Parkinson's disease

PubMed Central

Deane, Katherine H O; Flaherty, Helen; Daley, David J; Pascoe, Roland; Penhale, Bridget; Clarke, Carl E; Sackley, Catherine; Storey, Stacey

2014-01-01

Objectives This priority setting partnership was commissioned by Parkinson's UK to encourage people with direct and personal experience of the condition to work together to identify and prioritise the top 10 evidential uncertainties that impact on everyday clinical practice for the management of Parkinson's disease (PD). Setting The UK. Participants Anyone with experience of PD including: people with Parkinson's (PwP), carers, family and friends, healthcare and social care professionals. Non-clinical researchers and employees of pharmaceutical or medical devices companies were excluded. 1000 participants (60% PwP) provided ideas on research uncertainties, 475 (72% PwP) initially prioritised them and 27 (37% PwP) stakeholders agreed a final top 10. Methods Using a modified nominal group technique, participants were surveyed to identify what issues for the management of PD needed research. Unique research questions unanswered by current evidence were identified and participants were asked to identify their top 10 research priorities from this list. The top 26 uncertainties were presented to a consensus meeting with key stakeholders to agree the top 10 research priorities. Results 1000 participants provided 4100 responses, which contained 94 unique unanswered research questions that were initially prioritised by 475 participants. A consensus meeting with 27 stakeholders agreed the top 10 research priorities. The overarching research aspiration was an effective cure for PD. The top 10 research priorities for PD management included the need to address motor symptoms (balance and falls, and fine motor control), non-motor symptoms (sleep and urinary dysfunction), mental health issues (stress and anxiety, dementia and mild cognitive impairments), side effects of medications (dyskinesia) and the need to develop interventions specific to the phenotypes of PD and better monitoring methods. Conclusions These research priorities identify crucial gaps in the existing evidence to address everyday practicalities in the management of the complexities of PD. PMID:25500772

One-to-One Technology in K-12 Classrooms: A Review of the Literature from 2004 through 2014

ERIC Educational Resources Information Center

Harper, Ben; Milman, Natalie B.

2016-01-01

This literature review examined empirical research conducted between 2004 and 2014 regarding 1:1 technologies in K-12 educational settings. Our overarching research question was: What does research tell us about 1:1 technology in K-12 classrooms? We used the constant-comparative method to analyze, code, and induce themes from 46 relevant articles.…

How Do Preservice Teachers Understand the Use of Research to Inform Practice? Foundational Knowledge for Bridging the Gap

ERIC Educational Resources Information Center

van Ingen, Sarah; Alvarez McHatton, Patricia; Vomvoridi-Ivanovic, Eugenia

2016-01-01

Despite widespread discourse about the need for teachers to utilize education research, little is known about how teachers learn to engage in this practice. How do preservice teachers understand the use of research to inform their teaching? Set within the context of a mathematics methods course, this study provides a detailed analysis of the…

A CTSA Agenda to Advance Methods for Comparative Effectiveness Research

PubMed Central

Helfand, Mark; Tunis, Sean; Whitlock, Evelyn P.; Pauker, Stephen G.; Basu, Anirban; Chilingerian, Jon; Harrell Jr., Frank E.; Meltzer, David O.; Montori, Victor M.; Shepard, Donald S.; Kent, David M.

2011-01-01

Abstract Clinical research needs to be more useful to patients, clinicians, and other decision makers. To meet this need, more research should focus on patient‐centered outcomes, compare viable alternatives, and be responsive to individual patients’ preferences, needs, pathobiology, settings, and values. These features, which make comparative effectiveness research (CER) fundamentally patient‐centered, challenge researchers to adopt or develop methods that improve the timeliness, relevance, and practical application of clinical studies. In this paper, we describe 10 priority areas that address 3 critical needs for research on patient‐centered outcomes (PCOR): (1) developing and testing trustworthy methods to identify and prioritize important questions for research; (2) improving the design, conduct, and analysis of clinical research studies; and (3) linking the process and outcomes of actual practice to priorities for research on patient‐centered outcomes. We argue that the National Institutes of Health, through its clinical and translational research program, should accelerate the development and refinement of methods for CER by linking a program of methods research to the broader portfolio of large, prospective clinical and health system studies it supports. Insights generated by this work should be of enormous value to PCORI and to the broad range of organizations that will be funding and implementing CER. Clin Trans Sci 2011; Volume 4: 188–198 PMID:21707950

Application of multivariate statistical techniques in microbial ecology.

PubMed

Paliy, O; Shankar, V

2016-03-01

Recent advances in high-throughput methods of molecular analyses have led to an explosion of studies generating large-scale ecological data sets. In particular, noticeable effect has been attained in the field of microbial ecology, where new experimental approaches provided in-depth assessments of the composition, functions and dynamic changes of complex microbial communities. Because even a single high-throughput experiment produces large amount of data, powerful statistical techniques of multivariate analysis are well suited to analyse and interpret these data sets. Many different multivariate techniques are available, and often it is not clear which method should be applied to a particular data set. In this review, we describe and compare the most widely used multivariate statistical techniques including exploratory, interpretive and discriminatory procedures. We consider several important limitations and assumptions of these methods, and we present examples of how these approaches have been utilized in recent studies to provide insight into the ecology of the microbial world. Finally, we offer suggestions for the selection of appropriate methods based on the research question and data set structure. © 2016 John Wiley & Sons Ltd.

A component modes projection and assembly model reduction methodology for articulated, multi-flexible body structures

NASA Technical Reports Server (NTRS)

Lee, Allan Y.; Tsuha, Walter S.

1993-01-01

A two-stage model reduction methodology, combining the classical Component Mode Synthesis (CMS) method and the newly developed Enhanced Projection and Assembly (EP&A) method, is proposed in this research. The first stage of this methodology, called the COmponent Modes Projection and Assembly model REduction (COMPARE) method, involves the generation of CMS mode sets, such as the MacNeal-Rubin mode sets. These mode sets are then used to reduce the order of each component model in the Rayleigh-Ritz sense. The resultant component models are then combined to generate reduced-order system models at various system configurations. A composite mode set which retains important system modes at all system configurations is then selected from these reduced-order system models. In the second stage, the EP&A model reduction method is employed to reduce further the order of the system model generated in the first stage. The effectiveness of the COMPARE methodology has been successfully demonstrated on a high-order, finite-element model of the cruise-configured Galileo spacecraft.

Examining Construct Congruence for Psychometric Tests: A Note on an Extension to Binary Items and Nesting Effects

ERIC Educational Resources Information Center

Raykov, Tenko; Marcoulides, George A.; Dimitrov, Dimiter M.; Li, Tatyana

2018-01-01

This article extends the procedure outlined in the article by Raykov, Marcoulides, and Tong for testing congruence of latent constructs to the setting of binary items and clustering effects. In this widely used setting in contemporary educational and psychological research, the method can be used to examine if two or more homogeneous…

Detecting Intrajudge Inconsistency in Standard Setting Using Test Items with a Selected-Response Format. Research Report.

ERIC Educational Resources Information Center

van der Linden, Wim J.; Vos, Hans J.; Chang, Lei

In judgmental standard setting experiments, it may be difficult to specify subjective probabilities that adequately take the properties of the items into account. As a result, these probabilities are not consistent with each other in the sense that they do not refer to the same borderline level of performance. Methods to check standard setting…

Long-Term Outcomes of Services for Two Persons with Significant Disabilities with Differing Educational Experiences: A Qualitative Consideration of the Impact of Educational Experiences

ERIC Educational Resources Information Center

Ryndak, Diane Lea; Ward, Terri; Alper, Sandra; Montgomery, Jennifer Wilson; Storch, Jill F.

2010-01-01

Though research exists related to effective services in inclusive general education settings for students with significant disabilities, there are no longitudinal investigations of adult outcomes for persons with significant disabilities who received services in inclusive general education settings. This study uses qualitative methods to describe…

A Descriptive Examination of the Types of Relationships Formed between Children with Developmental Disability and Their Closest Peers in Inclusive School Settings

ERIC Educational Resources Information Center

Webster, Amanda A.; Carter, Mark

2013-01-01

Background: One of the most commonly cited rationales for inclusive education is to enable the development of quality relationships with typically developing peers. Relatively few researchers have examined the features of the range of relationships that children with developmental disability form in inclusive school settings. Method: Interviews…

The Finnish healthcare services lean management.

PubMed

Hihnala, Susanna; Kettunen, Lilja; Suhonen, Marjo; Tiirinki, Hanna

2018-02-05

Purpose The purpose of this paper is to discuss health services managers' experiences of management in a special health-care unit and development efforts from the point of view of the Lean method. Additionally, the aim is to deepen the knowledge of the managers' work and nature of the Lean method development processes in the workplace. The research focuses on those aspects and results of Lean method that are currently being used in health-care environments. Design/methodology/approach These data were collected through a number of thematic interviews. The participants were nurse managers ( n = 7) and medical managers ( n = 7) who applied Lean management in their work at the University Hospital in the Northern Ostrobothnia Health Care District. The data were analysed with a qualitative content analysis. Findings A common set of values in specialized health-care services, development of activities and challenges for management in the use of the Lean manager development model to improve personal management skills. Practical implications Managers in specialized health-care services can develop and systematically manage with the help of the Lean method. This emphasizes assumptions, from the point of view of management, about systems development when the organization uses the Lean method. The research outcomes originate from specialized health-care settings in Finland in which the Lean method and its associated management principles have been implemented and applied to the delivery of health care. Originality/value The study shows that the research results and in-depth knowledge on Lean method principles can be applied to health-care management and development processes. The research also describes health services managers' experiences of using the Lean method. In the future, these results can be used to improve Lean management skills, identify personal professional competencies and develop skills required in development processes. Also, the research findings can be used in the training of health services managers in the health-care industry worldwide and to help them survive the pressure to change repeatedly.

Predicting "Hot" and "Warm" Spots for Fragment Binding.

PubMed

Rathi, Prakash Chandra; Ludlow, R Frederick; Hall, Richard J; Murray, Christopher W; Mortenson, Paul N; Verdonk, Marcel L

2017-05-11

Computational fragment mapping methods aim to predict hotspots on protein surfaces where small fragments will bind. Such methods are popular for druggability assessment as well as structure-based design. However, to date researchers developing or using such tools have had no clear way of assessing the performance of these methods. Here, we introduce the first diverse, high quality validation set for computational fragment mapping. The set contains 52 diverse examples of fragment binding "hot" and "warm" spots from the Protein Data Bank (PDB). Additionally, we describe PLImap, a novel protocol for fragment mapping based on the Protein-Ligand Informatics force field (PLIff). We evaluate PLImap against the new fragment mapping test set, and compare its performance to that of simple shape-based algorithms and fragment docking using GOLD. PLImap is made publicly available from https://bitbucket.org/AstexUK/pli .

Application of Bayesian methods to habitat selection modeling of the northern spotted owl in California: new statistical methods for wildlife research

Treesearch

Howard B. Stauffer; Cynthia J. Zabel; Jeffrey R. Dunk

2005-01-01

We compared a set of competing logistic regression habitat selection models for Northern Spotted Owls (Strix occidentalis caurina) in California. The habitat selection models were estimated, compared, evaluated, and tested using multiple sample datasets collected on federal forestlands in northern California. We used Bayesian methods in interpreting...

Reader's Block: A Systematic Review of Barriers to Adoption, Access and Use in E-Book User Studies

ERIC Educational Resources Information Center

Girard, Adam

2014-01-01

Introduction: This review of barriers to e-book use systematically identifies obstacles to engaging reading experiences. Through the use of an analytical framework, the users being studied, study setting, and methods used in previous work are described in order to identify promising areas for future research. Method: The method used is a…

Research-IQ: Development and Evaluation of an Ontology-anchored Integrative Query Tool

PubMed Central

Borlawsky, Tara B.; Lele, Omkar; Payne, Philip R. O.

2011-01-01

Investigators in the translational research and systems medicine domains require highly usable, efficient and integrative tools and methods that allow for the navigation of and reasoning over emerging large-scale data sets. Such resources must cover a spectrum of granularity from bio-molecules to population phenotypes. Given such information needs, we report upon the initial design and evaluation of an ontology-anchored integrative query tool, Research-IQ, which employs a combination of conceptual knowledge engineering and information retrieval techniques to enable the intuitive and rapid construction of queries, in terms of semi-structured textual propositions, that can subsequently be applied to integrative data sets. Our initial results, based upon both quantitative and qualitative evaluations of the efficacy and usability of Research-IQ, demonstrate its potential to increase clinical and translational research throughput. PMID:21821150

Evaluating the Real-World Effectiveness of Cognitive-Behavior Therapy Efficacy Research on Eating Disorders: A Case Study from a Community-based Clinical Setting

PubMed Central

Lowe, Michael R.; Bunnell, Douglas W.; Neeren, Amy M.; Chernyak, Yelena; Greberman, Laurel

2009-01-01

Objective There is a growing consensus that there is a need to test the real-world effectiveness of eating disorder therapies that show promise in efficacy research. The current paper provides a narrative account of an NIMH-funded study that attempted to apply efficacy findings from CBT research to an Intensive Outpatient Program (IOP) at the largest community-based eating disorder program in the United States. Method We describe the study as originally envisioned as well as the various challenges that the researchers and the IOP staff encountered in implementing this study. Results The different training, assumptions, and “ways of knowing” of the research team and the treatment staff in regard to the nature of eating disorders and their treatment created multiple challenges for both groups during the study period. We describe valuable lessons learned about how to - and how not to -implement effectiveness designs in clinical settings that are relatively unfamiliar with empirically-based research findings. Discussion It is hoped that our experience in attempting to apply efficacy-based research findings on eating disorders treatment in a community-based clinical setting will prove helpful to other researchers and service providers engaging in such translational research. PMID:20063375

Quick-Change Ceramic Flame Holder for High-Output Torches

NASA Technical Reports Server (NTRS)

Haskin, Henry

2010-01-01

Researchers at NASA's Langley Research Center have developed a new ceramic design flame holder with a service temperature of 4,000 F (2,204 C). The combination of high strength and high temperature capability, as well as a twist-lock mounting method to the steel burner, sets this flame holder apart from existing technology.

Laying the Foundations for Scientometric Research: A Data Science Approach

ERIC Educational Resources Information Center

Perron, Brian E.; Victor, Bryan G.; Hodge, David R.; Salas-Wright, Christopher P.; Vaughn, Michael G.; Taylor, Robert Joseph

2017-01-01

Objective: Scientometric studies of social work have stagnated due to problems with the organization and structure of the disciplinary literature. This study utilized data science to produce a set of research tools to overcome these methodological challenges. Method: We constructed a comprehensive list of social work journals for a 25-year time…

Building Capacity through Action Research Curricula Reviews

ERIC Educational Resources Information Center

Lee, Vanessa; Coombe, Leanne; Robinson, Priscilla

2015-01-01

In Australia, graduates of Master of Public Health (MPH) programmes are expected to achieve a set of core competencies, including a subset that is specifically related to Indigenous health. This paper reports on the methods utilised in a project which was designed using action research to strengthen Indigenous public health curricula within MPH…

Barriers to the Uptake of Eye Care Services in Developing Countries: A Systematic Review of Interventions

ERIC Educational Resources Information Center

Abdullah, Khadija Nowaira; Al-Sharqi, Omar Zayan; Abdullah, Muhammad Tanweer

2013-01-01

Objective: This research identifies effective and ineffective interventions for reducing barriers to the uptake of eye care services in developing countries. Design: Systematic literature review. Setting: Only research studies done in developing countries were included. Method: The review is restricted to English-language articles published…

A Qualitative Study of Juvenile Offenders, Student Engagement, and Interpersonal Relationships: Implications for Research Directions and Preventionist Approaches

ERIC Educational Resources Information Center

Sander, Janay B.; Sharkey, Jill D.; Olivarri, Roger; Tanigawa, Diane A.; Mauseth, Tory

2010-01-01

Background factors that correlate with juvenile delinquency are consistent across the interdisciplinary literature base. Yet, information about the process of how risks relate to outcomes, especially within school settings, is limited. Researchers used qualitative methods to examine school and interpersonal experiences from the perspective of…

Construct Maps for the Road Ahead

ERIC Educational Resources Information Center

Bunch, Michael B.

2013-01-01

In this issue of "Measurement: Interdisciplinary Research and Perspectives," Adam E. Wyse provides a thorough review of research to date on the use of construct maps in standard setting. He juxtaposes concepts and methods in ways that make their connections to one another clearer and more obvious than they might otherwise have been. In…

Data Sharing and Reuse within the Academic Pathways Study

ERIC Educational Resources Information Center

Toye, George; Sheppard, Sheri; Chen, Helen L.

2016-01-01

The Academic Pathway Study (APS) research program within National Science Foundation (NSF) Center for Advancement of Engineering Education (CAEE) ran from 2003-2010. It amassed a collection of longitudinal as well as cross-sectional data sets, of varying research method types and formats, from four different primary cohorts that included over…

School Wellness Policy Implementation: Attitudes of School Professionals and Parents in Elementary Schools

ERIC Educational Resources Information Center

Molaison, Elaine Fontenot; Carr, Deborah H.; Federico, Holly A.

2008-01-01

Purpose/Objectives: The purpose of this research was to explore the attitudes and barriers related to the implementation of the local wellness policy (LWP) in the elementary school setting. Methods: Researchers used a two-phase approach. Phase I included focus group interviews with school nutrition directors, principals, teachers, parents, and…

78 FR 22239 - Takes of Marine Mammals Incidental to Specified Activities; Marine Geophysical Survey on the Mid...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-15

... authorization must set forth the permissible methods of taking; other means of effecting the least practicable... Authorization to the Observatory. The Observatory, with research funding from the Foundation, plans to conduct... Environmental Impact Statement/ Overseas Environmental Impact Statement for Marine Seismic Research Funded by...

Improving Instruction in the Mathematics Methods Classroom through Action Research

ERIC Educational Resources Information Center

Mostofo, Jameel; Zambo, Ron

2015-01-01

There is a continuing emphasis in the United States on improving students' mathematical abilities, and one approach is to better prepare teachers. To investigate the potential usefulness of Lesson Study to better prepare teachers, one author set out to conduct action research on his classroom practice. Specifically, he sought to determine whether…

Design and Validation of a Questionnaire to Measure Research Skills: Experience with Engineering Students

ERIC Educational Resources Information Center

Cobos Alvarado, Fabián; Peñaherrera León, Mónica; Ortiz Colon, Ana María

2016-01-01

Universities in Latin American countries are undergoing major changes in its institutional and academic settings. One strategy for continuous improvement of teaching and learning process is the incorporation of methods and teaching aids seeking to develop scientific research skills in students from their undergraduate studies. The aim of this…

Developing and Testing Rational Models of Message Design.

ERIC Educational Resources Information Center

O'Keefe, Barbara J.

1992-01-01

Responds to an article in the same issue regarding research methods for conversational cognition. Argues for a noncognitive view of rational models in communication research. Sets out an analysis of the kinds of claims made by rational models of message design. Discusses the implications of this analysis for studies of the cognitive processes…

An Empirical Comparison of Variable Standardization Methods in Cluster Analysis.

ERIC Educational Resources Information Center

Schaffer, Catherine M.; Green, Paul E.

1996-01-01

The common marketing research practice of standardizing the columns of a persons-by-variables data matrix prior to clustering the entities corresponding to the rows was evaluated with 10 large-scale data sets. Results indicate that the column standardization practice may be problematic for some kinds of data that marketing researchers used for…

A masterclass to teach public health professionals to conduct practice-based research to promote evidence-based practice: a case study from The Netherlands.

PubMed

Jansen, Maria W J; Hoeijmakers, Marjan

2013-01-01

Public health professionals have a pivotal position in efforts to obtain more practice-based evidence about what people need and what works in real circumstances. Close collaboration with researchers should enable public health professionals to design and conduct research in practical settings to address today's complex public health problems and increase the external validity of results. This requires expanding the research competencies of public health professionals. We developed and implemented a masterclass for public health professionals, modeled on an existing scientific training course for general practitioners and rehabilitation physicians. The masterclass was evaluated using a multiple method design, involving quantitative and qualitative methods. Evaluation took place during, at the end of, and 9 months after the masterclass. Twenty-one candidates (mean age, 41 y) started the program, 66% of whom completed it. Teaching materials, lectures, organization, and facilities were favorably evaluated. At the end of the masterclass, participants were able to design and implement a research proposal in their daily work setting, write a draft article, and critically appraise scientific research for practice and policy purposes. Participants had become more confident about their research competence. Management support from their employer proved crucial. Results obtained with the different methods were consistent. The masterclass appeared to be an effective instrument to increase the practice-based research skills of public health professionals, provided the research is implemented in a supportive organization with management backing and supervision by senior university researchers. We recommend using masterclasses to contribute to the improvement of practice-based evidence for projects addressing current and future public health problems.

What a drop can do: dried blood spots as a minimally invasive method for integrating biomarkers into population-based research.

PubMed

McDade, Thomas W; Williams, Sharon; Snodgrass, J Josh

2007-11-01

Logistical constraints associated with the collection and analysis of biological samples in community-based settings have been a significant impediment to integrative, multilevel bio-demographic and biobehavioral research. However recent methodological developments have overcome many of these constraints and have also expanded the options for incorporating biomarkers into population-based health research in international as well as domestic contexts. In particular using dried blood spot (DBS) samples-drops of whole blood collected on filter paper from a simple finger prick-provides a minimally invasive method for collecting blood samples in nonclinical settings. After a brief discussion of biomarkers more generally, we review procedures for collecting, handling, and analyzing DBS samples. Advantages of using DBS samples-compared with venipuncture include the relative ease and low cost of sample collection, transport, and storage. Disadvantages include requirements for assay development and validation as well as the relatively small volumes of sample. We present the results of a comprehensive literature review of published protocols for analysis of DBS samples, and we provide more detailed analysis of protocols for 45 analytes likely to be of particular relevance to population-level health research. Our objective is to provide investigators with the information they need to make informed decisions regarding the appropriateness of blood spot methods for their research interests.

A profile of sports science research (1983-2003).

PubMed

Williams, Stephen John; Kendall, Lawrence R

2007-08-01

A majority of sports science research is undertaken in universities and dedicated research centres, such as institutes of sport. Reviews of literature analysing and categorising research have been carried out, but categories identified have been limited to research design and data gathering techniques. Hence there is a need to include categories such as discipline, subjects and targeted sport. A study was conducted using document analysis method to gather data that described and categorised performance-based sports science research projects in Australian universities and institutes of sport. An instrument was designed that could be used by researchers to analyse and profile research in the area of sports science. The instrument contained six categories: targeted sport, primary study area, participant type, research setting, methodology and data gathering techniques. Research documents analysed consisted of 725 original unpublished research reports/theses. Results showed that over two-thirds of research projects were targeted to specific sports and, of this group, nearly half involved four sports: cycling, rowing, athletics and swimming. Overall, physiology was the most researched scientific discipline. The most frequently used research method was experimental design, and the most frequently used data gathering technique was physiological (performance) measures. Two-thirds of research was conducted in laboratory settings, and nearly half of the research was conducted with elite or sub-elite athletes as participants/subjects. The findings of this study provide an overall synopsis of performance-based sports science research conducted in Australia over the last 20 years, and should be of considerable importance in the ongoing development of sports science research policy in Australia.

Barriers in implementing evidence-informed health decisions in rural rehabilitation settings: a mixed methods pilot study.

PubMed

Prakash, V; Hariohm, K; Balaganapathy, M

2014-08-01

Literature on the barriers to implementing research findings into physiotherapy practice are often urban centric, using self report based on the hypothetical patient scenario. The objective of this study was to investigate the occurrence of barriers, encountered by evidence informed practice-trained physiotherapists in the management of "real world" patients in rural rehabilitation settings. A mixed-methods research design was used. Physiotherapists working in rural outpatient rehabilitation settings participated in the study. In the first phase, we asked all participants (N = 5) to maintain a log book for a 4-week period to record questions that arose during their routine clinical encounters and asked them also to follow first four of the five steps of evidence-informed practice (ask, access, appraise and apply). In the second phase (after 4 weeks), we conducted a semistructured, direct interviews with the participants exploring their experiences involved in the process of implementing evidence-informed clinical decisions made during the study period. At the end of 4 weeks, 30 questions were recorded. For 17 questions, the participants found evidence but applied that evidence into their practice only in 9 instances. Being generalist practitioners, lack of outcomes specific to the patients were reported as barriers more so than time constraints in implementing evidence-informed practice. Practice setting, lack of patient-centered research and evidence-informed practice competency of physiotherapists can be significant barriers to implementing evidence-informed health decisions in rural rehabilitation setting. © 2014 Chinese Cochrane Center, West China Hospital of Sichuan University and Wiley Publishing Asia Pty Ltd.

The KIT Motion-Language Dataset.

PubMed

Plappert, Matthias; Mandery, Christian; Asfour, Tamim

2016-12-01

Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities based on natural language input. However, although there have been years of research in this area, no standardized and openly available data set exists to support the development and evaluation of such systems. We, therefore, propose the Karlsruhe Institute of Technology (KIT) Motion-Language Dataset, which is large, open, and extensible. We aggregate data from multiple motion capture databases and include them in our data set using a unified representation that is independent of the capture system or marker set, making it easy to work with the data regardless of its origin. To obtain motion annotations in natural language, we apply a crowd-sourcing approach and a web-based tool that was specifically build for this purpose, the Motion Annotation Tool. We thoroughly document the annotation process itself and discuss gamification methods that we used to keep annotators motivated. We further propose a novel method, perplexity-based selection, which systematically selects motions for further annotation that are either under-represented in our data set or that have erroneous annotations. We show that our method mitigates the two aforementioned problems and ensures a systematic annotation process. We provide an in-depth analysis of the structure and contents of our resulting data set, which, as of October 10, 2016, contains 3911 motions with a total duration of 11.23 hours and 6278 annotations in natural language that contain 52,903 words. We believe this makes our data set an excellent choice that enables more transparent and comparable research in this important area.

A comparison of three methods of setting prescribing budgets, using data derived from defined daily dose analyses of historic patterns of use.

PubMed Central

Maxwell, M; Howie, J G; Pryde, C J

1998-01-01

BACKGROUND: Prescribing matters (particularly budget setting and research into prescribing variation between doctors) have been handicapped by the absence of credible measures of the volume of drugs prescribed. AIM: To use the defined daily dose (DDD) method to study variation in the volume and cost of drugs prescribed across the seven main British National Formulary (BNF) chapters with a view to comparing different methods of setting prescribing budgets. METHOD: Study of one year of prescribing statistics from all 129 general practices in Lothian, covering 808,059 patients: analyses of prescribing statistics for 1995 to define volume and cost/volume of prescribing for one year for 10 groups of practices defined by the age and deprivation status of their patients, for seven BNF chapters; creation of prescribing budgets for 1996 for each individual practice based on the use of target volume and cost statistics; comparison of 1996 DDD-based budgets with those set using the conventional historical approach; and comparison of DDD-based budgets with budgets set using a capitation-based formula derived from local cost/patient information. RESULTS: The volume of drugs prescribed was affected by the age structure of the practices in BNF Chapters 1 (gastrointestinal), 2 (cardiovascular), and 6 (endocrine), and by deprivation structure for BNF Chapters 3 (respiratory) and 4 (central nervous system). Costs per DDD in the major BNF chapters were largely independent of age, deprivation structure, or fundholding status. Capitation and DDD-based budgets were similar to each other, but both differed substantially from historic budgets. One practice in seven gained or lost more than 100,000 Pounds per annum using DDD or capitation budgets compared with historic budgets. The DDD-based budget, but not the capitation-based budget, can be used to set volume-specific prescribing targets. CONCLUSIONS: DDD-based and capitation-based prescribing budgets can be set using a simple explanatory model and generalizable methods. In this study, both differed substantially from historic budgets. DDD budgets could be created to accommodate new prescribing strategies and raised or lowered to reflect local intentions to alter overall prescribing volume or cost targets. We recommend that future work on setting budgets and researching prescribing variations should be based on DDD statistics. PMID:10024703

Shared research priorities for pessary use in women with prolapse: results from a James Lind Alliance Priority Setting Partnership

PubMed Central

Hagen, Suzanne; McClurg, Doreen; Pollock, Alex

2018-01-01

Objectives To identify the shared priorities for future research of women affected by and clinicians involved with pessary use for the management of prolapse. Design A priority setting project using a consensus method. Setting A James Lind Alliance Pessary use for prolapse Priority Setting Partnership (JLA Pessary PSP) conducted from May 2016 to September 2017 in the UK. Participants The PSP was run by a Steering Group of three women with experience of pessary use, three experienced clinicians involved with management of prolapse, two researchers with relevant experience, a JLA adviser and a PSP leader. Two surveys were conducted in 2016 and 2017. The first gathered questions about pessaries, and the second asked respondents to prioritise a list of questions. A final workshop was held on 8 September 2017 involving 10 women and 13 clinician representatives with prolapse and pessary experience. Results A top 10 list of priorities for future research in pessary use for prolapse was agreed by consensus. Conclusions Women with experience of pessary use and clinicians involved with prolapse management have worked together to determine shared priorities for future research. Aligning the top 10 results with existing research findings will highlight the gaps in current evidence and signpost future research to areas of priority. Effective dissemination of the results will enable research funding bodies to focus on gathering the evidence to answer the questions that matter most to those who will be affected. PMID:29705767

Paradigms, pragmatism and possibilities: mixed-methods research in speech and language therapy.

PubMed

Glogowska, Margaret

2011-01-01

After the decades of the so-called 'paradigm wars' in social science research methodology and the controversy about the relative place and value of quantitative and qualitative research methodologies, 'paradigm peace' appears to have now been declared. This has come about as many researchers have begun to take a 'pragmatic' approach in the selection of research methodology, choosing the methodology best suited to answering the research question rather than conforming to a methodological orthodoxy. With the differences in the philosophical underpinnings of the two traditions set to one side, an increasing awareness, and valuing, of the 'mixed-methods' approach to research is now present in the fields of social, educational and health research. To explore what is meant by mixed-methods research and the ways in which quantitative and qualitative methodologies and methods can be combined and integrated, particularly in the broad field of health services research and the narrower one of speech and language therapy. The paper discusses the ways in which methodological approaches have already been combined and integrated in health services research and speech and language therapy, highlighting the suitability of mixed-methods research for answering the typically multifaceted questions arising from the provision of complex interventions. The challenges of combining and integrating quantitative and qualitative methods and the barriers to the adoption of mixed-methods approaches are also considered. The questions about healthcare, as it is being provided in the 21st century, calls for a range of methodological approaches. This is particularly the case for human communication and its disorders, where mixed-methods research offers a wealth of possibilities. In turn, speech and language therapy research should be able to contribute substantively to the future development of mixed-methods research. © 2010 Royal College of Speech & Language Therapists.

Numerical Modelling of Three-Fluid Flow Using The Level-set Method

NASA Astrophysics Data System (ADS)

Li, Hongying; Lou, Jing; Shang, Zhi

2014-11-01

This work presents a numerical model for simulation of three-fluid flow involving two different moving interfaces. These interfaces are captured using the level-set method via two different level-set functions. A combined formulation with only one set of conservation equations for the whole physical domain, consisting of the three different immiscible fluids, is employed. Numerical solution is performed on a fixed mesh using the finite volume method. Surface tension effect is incorporated using the Continuum Surface Force model. Validation of the present model is made against available results for stratified flow and rising bubble in a container with a free surface. Applications of the present model are demonstrated by a variety of three-fluid flow systems including (1) three-fluid stratified flow, (2) two-fluid stratified flow carrying the third fluid in the form of drops and (3) simultaneous rising and settling of two drops in a stationary third fluid. The work is supported by a Thematic and Strategic Research from A*STAR, Singapore (Ref. #: 1021640075).

The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry

PubMed Central

Anguera, M. Teresa; Camerino, Oleguer; Castañer, Marta; Sánchez-Algarra, Pedro; Onwuegbuzie, Anthony J.

2017-01-01

Mixed methods studies are been increasingly applied to a diversity of fields. In this paper, we discuss the growing use—and enormous potential—of mixed methods research in the field of sport and physical activity. A second aim is to contribute to strengthening the characteristics of mixed methods research by showing how systematic observation offers rigor within a flexible framework that can be applied to a wide range of situations. Observational methodology is characterized by high scientific rigor and flexibility throughout its different stages and allows the objective study of spontaneous behavior in natural settings, with no external influence. Mixed methods researchers need to take bold yet thoughtful decisions regarding both substantive and procedural issues. We present three fundamental and complementary ideas to guide researchers in this respect: we show why studies of sport and physical activity that use a mixed methods research approach should be included in the field of mixed methods research, we highlight the numerous possibilities offered by observational methodology in this field through the transformation of descriptive data into quantifiable code matrices, and we discuss possible solutions for achieving true integration of qualitative and quantitative findings. PMID:29312061

Internet Cancer Support Groups

PubMed Central

Chee, Wonshik; Tsai, Hsiu-Min; Lin, Li-Chen; Cheng, Ching-Yu

2006-01-01

Internet Cancer Support Groups (ICSGs) are an emerging form of support group on Internet specifically for cancer patients. Previous studies have indicated the effectiveness of ICSGs as a research setting or a data-collection method. Yet recent studies have also indicated that ICSGs tend to serve highly educated, high-income White males who tend to be at an early stage of cancer. In this article, a total of 317 general ICSGs and 229 ethnic-specific ICSGs searched through Google.com, Yahoo.com, http://Msn.com, AOL.com, and ACOR.org are analyzed from a feminist perspective. The written records of group discussions and written memos by the research staff members were also analyzed using content analysis. The idea categories that emerged about these groups include (a) authenticity issues; (b) ethnicity and gender issues; (c) intersubjectivity issues; and (d) potential ethical issues. The findings suggest that (a) researchers adopt multiple recruitment strategies through various Internet sites and/or real settings; (b) researchers raise their own awareness of the potential influences of the health-related resources provided by ICSGs and regularly update their knowledge related to the federal and state standards and/or policies related to ICSGs; and (c) researchers consider adopting a quota-sampling method. PMID:15681976

Research in the perianesthesia setting: the basics of getting started.

PubMed

Myers, Gina; Kosinski, Michele

2005-02-01

Research can be defined as a process that systematically investigates a situation with the objective of expanding the existing knowledge of a profession. Research asks the question "Does what we do as nurses help or hinder?" The purpose of this article is to provide a brief history of nursing research and to review basic research methods. In addition, examples of potential research projects focused in the perianesthesia practice arena will be explored. Practical steps will be outlined to guide novice nurse researchers in their early endeavors.

Optimization Strategies for Sensor and Actuator Placement

NASA Technical Reports Server (NTRS)

Padula, Sharon L.; Kincaid, Rex K.

1999-01-01

This paper provides a survey of actuator and sensor placement problems from a wide range of engineering disciplines and a variety of applications. Combinatorial optimization methods are recommended as a means for identifying sets of actuators and sensors that maximize performance. Several sample applications from NASA Langley Research Center, such as active structural acoustic control, are covered in detail. Laboratory and flight tests of these applications indicate that actuator and sensor placement methods are effective and important. Lessons learned in solving these optimization problems can guide future research.

Pilot climate data system: A state-of-the-art capability in scientific data management

NASA Technical Reports Server (NTRS)

Smith, P. H.; Treinish, L. A.; Novak, L. V.

1983-01-01

The Pilot Climate Data System (PCDS) was developed by the Information Management Branch of NASA's Goddard Space Flight Center to manage a large collection of climate-related data of interest to the research community. The PCDS now provides uniform data catalogs, inventories, access methods, graphical displays and statistical calculations for selected NASA and non-NASA data sets. Data manipulation capabilities were developed to permit researchers to easily combine or compare data. The current capabilities of the PCDS include many tools for the statistical survey of climate data. A climate researcher can examine any data set of interest via flexible utilities to create a variety of two- and three-dimensional displays, including vector plots, scatter diagrams, histograms, contour plots, surface diagrams and pseudo-color images. The graphics and statistics subsystems employ an intermediate data storage format which is data-set independent. Outside of the graphics system there exist other utilities to select, filter, list, compress, and calculate time-averages and variances for any data of interest. The PCDS now fully supports approximately twenty different data sets and is being used on a trial basis by several different in-house research grounds.

An ontology-based method for secondary use of electronic dental record data

PubMed Central

Schleyer, Titus KL; Ruttenberg, Alan; Duncan, William; Haendel, Melissa; Torniai, Carlo; Acharya, Amit; Song, Mei; Thyvalikakath, Thankam P.; Liu, Kaihong; Hernandez, Pedro

A key question for healthcare is how to operationalize the vision of the Learning Healthcare System, in which electronic health record data become a continuous information source for quality assurance and research. This project presents an initial, ontology-based, method for secondary use of electronic dental record (EDR) data. We defined a set of dental clinical research questions; constructed the Oral Health and Disease Ontology (OHD); analyzed data from a commercial EDR database; and created a knowledge base, with the OHD used to represent clinical data about 4,500 patients from a single dental practice. Currently, the OHD includes 213 classes and reuses 1,658 classes from other ontologies. We have developed an initial set of SPARQL queries to allow extraction of data about patients, teeth, surfaces, restorations and findings. Further work will establish a complete, open and reproducible workflow for extracting and aggregating data from a variety of EDRs for research and quality assurance. PMID:24303273

Using ethnography to investigate life scientists' information needs.

PubMed Central

Forsythe, D E

1998-01-01

Designing information resources that actually meet the information needs of individuals requires detailed knowledge of these needs. This poses a challenge for developers. Because the meaning of particular terms can vary by field, professional knowledge differs to some extent in different disciplines, and the questions that people ask assume a certain amount of unarticulated background knowledge, understanding the information needs of life scientists is not a trivial undertaking. One source of help in meeting this challenge is ethnography, a set of research methods and an associated conceptual stance developed and used by anthropologists for investigating uncontrolled real-world settings. Drawing on the author's experience in using ethnographic techniques to study clinicians' information needs, this paper describes why such research is necessary, why it requires particular research methods, what an ethnographic perspective has added to the study of information needs, and what this broader approach has revealed about the types of information sought by clinicians in the course of their daily practice. PMID:9681177

A user-oriented web crawler for selectively acquiring online content in e-health research.

PubMed

Xu, Songhua; Yoon, Hong-Jun; Tourassi, Georgia

2014-01-01

Life stories of diseased and healthy individuals are abundantly available on the Internet. Collecting and mining such online content can offer many valuable insights into patients' physical and emotional states throughout the pre-diagnosis, diagnosis, treatment and post-treatment stages of the disease compared with those of healthy subjects. However, such content is widely dispersed across the web. Using traditional query-based search engines to manually collect relevant materials is rather labor intensive and often incomplete due to resource constraints in terms of human query composition and result parsing efforts. The alternative option, blindly crawling the whole web, has proven inefficient and unaffordable for e-health researchers. We propose a user-oriented web crawler that adaptively acquires user-desired content on the Internet to meet the specific online data source acquisition needs of e-health researchers. Experimental results on two cancer-related case studies show that the new crawler can substantially accelerate the acquisition of highly relevant online content compared with the existing state-of-the-art adaptive web crawling technology. For the breast cancer case study using the full training set, the new method achieves a cumulative precision between 74.7 and 79.4% after 5 h of execution till the end of the 20-h long crawling session as compared with the cumulative precision between 32.8 and 37.0% using the peer method for the same time period. For the lung cancer case study using the full training set, the new method achieves a cumulative precision between 56.7 and 61.2% after 5 h of execution till the end of the 20-h long crawling session as compared with the cumulative precision between 29.3 and 32.4% using the peer method. Using the reduced training set in the breast cancer case study, the cumulative precision of our method is between 44.6 and 54.9%, whereas the cumulative precision of the peer method is between 24.3 and 26.3%; for the lung cancer case study using the reduced training set, the cumulative precisions of our method and the peer method are, respectively, between 35.7 and 46.7% versus between 24.1 and 29.6%. These numbers clearly show a consistently superior accuracy of our method in discovering and acquiring user-desired online content for e-health research. The implementation of our user-oriented web crawler is freely available to non-commercial users via the following Web site: http://bsec.ornl.gov/AdaptiveCrawler.shtml. The Web site provides a step-by-step guide on how to execute the web crawler implementation. In addition, the Web site provides the two study datasets including manually labeled ground truth, initial seeds and the crawling results reported in this article.

Zephyr: Open-source Parallel Seismic Waveform Inversion in an Integrated Python-based Framework

NASA Astrophysics Data System (ADS)

Smithyman, B. R.; Pratt, R. G.; Hadden, S. M.

2015-12-01

Seismic Full-Waveform Inversion (FWI) is an advanced method to reconstruct wave properties of materials in the Earth from a series of seismic measurements. These methods have been developed by researchers since the late 1980s, and now see significant interest from the seismic exploration industry. As researchers move towards implementing advanced numerical modelling (e.g., 3D, multi-component, anisotropic and visco-elastic physics), it is desirable to make use of a modular approach, minimizing the effort developing a new set of tools for each new numerical problem. SimPEG (http://simpeg.xyz) is an open source project aimed at constructing a general framework to enable geophysical inversion in various domains. In this abstract we describe Zephyr (https://github.com/bsmithyman/zephyr), which is a coupled research project focused on parallel FWI in the seismic context. The software is built on top of Python, Numpy and IPython, which enables very flexible testing and implementation of new features. Zephyr is an open source project, and is released freely to enable reproducible research. We currently implement a parallel, distributed seismic forward modelling approach that solves the 2.5D (two-and-one-half dimensional) viscoacoustic Helmholtz equation at a range modelling frequencies, generating forward solutions for a given source behaviour, and gradient solutions for a given set of observed data. Solutions are computed in a distributed manner on a set of heterogeneous workers. The researcher's frontend computer may be separated from the worker cluster by a network link to enable full support for computation on remote clusters from individual workstations or laptops. The present codebase introduces a numerical discretization equivalent to that used by FULLWV, a well-known seismic FWI research codebase. This makes it straightforward to compare results from Zephyr directly with FULLWV. The flexibility introduced by the use of a Python programming environment makes extension of the codebase with new methods much more straightforward. This enables comparison and integration of new efforts with existing results.

Application of virtual reality methods to obesity prevention and management research.

PubMed

Persky, Susan

2011-03-01

There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention. © 2011 Diabetes Technology Society.

Application of Virtual Reality Methods to Obesity Prevention and Management Research

PubMed Central

Persky, Susan

2011-01-01

There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention. PMID:21527102

Evaluating Common De-Identification Heuristics for Personal Health Information

PubMed Central

Jabbouri, Sam; Sams, Scott; Drouet, Youenn; Power, Michael

2006-01-01

Background With the growing adoption of electronic medical records, there are increasing demands for the use of this electronic clinical data in observational research. A frequent ethics board requirement for such secondary use of personal health information in observational research is that the data be de-identified. De-identification heuristics are provided in the Health Insurance Portability and Accountability Act Privacy Rule, funding agency and professional association privacy guidelines, and common practice. Objective The aim of the study was to evaluate whether the re-identification risks due to record linkage are sufficiently low when following common de-identification heuristics and whether the risk is stable across sample sizes and data sets. Methods Two methods were followed to construct identification data sets. Re-identification attacks were simulated on these. For each data set we varied the sample size down to 30 individuals, and for each sample size evaluated the risk of re-identification for all combinations of quasi-identifiers. The combinations of quasi-identifiers that were low risk more than 50% of the time were considered stable. Results The identification data sets we were able to construct were the list of all physicians and the list of all lawyers registered in Ontario, using 1% sampling fractions. The quasi-identifiers of region, gender, and year of birth were found to be low risk more than 50% of the time across both data sets. The combination of gender and region was also found to be low risk more than 50% of the time. We were not able to create an identification data set for the whole population. Conclusions Existing Canadian federal and provincial privacy laws help explain why it is difficult to create an identification data set for the whole population. That such examples of high re-identification risk exist for mainstream professions makes a strong case for not disclosing the high-risk variables and their combinations identified here. For professional subpopulations with published membership lists, many variables often needed by researchers would have to be excluded or generalized to ensure consistently low re-identification risk. Data custodians and researchers need to consider other statistical disclosure techniques for protecting privacy. PMID:17213047

Secondary data analysis of large data sets in urology: successes and errors to avoid.

PubMed

Schlomer, Bruce J; Copp, Hillary L

2014-03-01

Secondary data analysis is the use of data collected for research by someone other than the investigator. In the last several years there has been a dramatic increase in the number of these studies being published in urological journals and presented at urological meetings, especially involving secondary data analysis of large administrative data sets. Along with this expansion, skepticism for secondary data analysis studies has increased for many urologists. In this narrative review we discuss the types of large data sets that are commonly used for secondary data analysis in urology, and discuss the advantages and disadvantages of secondary data analysis. A literature search was performed to identify urological secondary data analysis studies published since 2008 using commonly used large data sets, and examples of high quality studies published in high impact journals are given. We outline an approach for performing a successful hypothesis or goal driven secondary data analysis study and highlight common errors to avoid. More than 350 secondary data analysis studies using large data sets have been published on urological topics since 2008 with likely many more studies presented at meetings but never published. Nonhypothesis or goal driven studies have likely constituted some of these studies and have probably contributed to the increased skepticism of this type of research. However, many high quality, hypothesis driven studies addressing research questions that would have been difficult to conduct with other methods have been performed in the last few years. Secondary data analysis is a powerful tool that can address questions which could not be adequately studied by another method. Knowledge of the limitations of secondary data analysis and of the data sets used is critical for a successful study. There are also important errors to avoid when planning and performing a secondary data analysis study. Investigators and the urological community need to strive to use secondary data analysis of large data sets appropriately to produce high quality studies that hopefully lead to improved patient outcomes. Copyright © 2014 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Using Dialogic Methods as a Participatory Knowledge Translation Approach to Promote Integration of Nurse Practitioners in Primary Healthcare Settings.

PubMed

Oelke, Nelly D; Plamondon, Katrina M; Mendel, Donna

2016-01-01

Background: Nurse practitioners (NPs) were introduced in British Columbia (BC) in 2005 as a new category of health provider. Given the newness of NPs in our health system, it is not unexpected that continued work is required to better integrate NPs in healthcare in BC. Aim: This paper will focus on a research study using dialogic methods as a participatory knowledge translation approach to facilitate integration of NPs in primary healthcare (PHC) settings. Methods: Deliberative dialogue (DD) is a useful knowledge translation tool in health services delivery. Through facilitated conversations with stakeholders, invited to consider research evidence in the context of their experience and tacit knowledge, collective data are generated. DD is a powerful tool to engage stakeholders in the development and implementation of evidence-informed policies and services through discussion of issues, consideration of priorities and development of concrete actions that can be implemented by policy makers and decision-makers. Two DD sessions were held with stakeholders involved in supporting NP integration in a health authority in southern interior BC. Stakeholders were provided syntheses of a literature review and interview results. The first session resulted in the collective development of 10 actions to promote NP integration in PHC settings. The second session was conducted six months later to discuss progress and revisions to actions. Discussion: The use of the dialogic methods used in studying NP integration in PHC settings proved useful in promoting real conversation about the implications of research evidence in living contexts, enabling diverse stakeholders to co-create collaborative actions for further NP integration. The conversations and actions were used to support further NP integration during the study and beyond. Conclusion: DD is a useful approach for transforming health services policy and delivery. It has the potential to move change forward with co-created solutions by the stakeholders involved.

Setting research priorities for maternal, newborn, child health and nutrition in India by engaging experts from 256 indigenous institutions contributing over 4000 research ideas: a CHNRI exercise by ICMR and INCLEN.

PubMed

Arora, Narendra K; Mohapatra, Archisman; Gopalan, Hema S; Wazny, Kerri; Thavaraj, Vasantha; Rasaily, Reeta; Das, Manoj K; Maheshwari, Meenu; Bahl, Rajiv; Qazi, Shamim A; Black, Robert E; Rudan, Igor

2017-06-01

Health research in low- and middle- income countries (LMICs) is often driven by donor priorities rather than by the needs of the countries where the research takes place. This lack of alignment of donor's priorities with local research need may be one of the reasons why countries fail to achieve set goals for population health and nutrition. India has a high burden of morbidity and mortality in women, children and infants. In order to look forward toward the Sustainable Development Goals, the Indian Council of Medical Research (ICMR) and the INCLEN Trust International (INCLEN) employed the Child Health and Nutrition Research Initiative's (CHNRI) research priority setting method for maternal, neonatal, child health and nutrition with the timeline of 2016-2025. The exercise was the largest to-date use of the CHNRI methodology, both in terms of participants and ideas generated and also expanded on the methodology. CHNRI is a crowdsourcing-based exercise that involves using the collective intelligence of a group of stakeholders, usually researchers, to generate and score research options against a set of criteria. This paper reports on a large umbrella CHNRI that was divided into four theme-specific CHNRIs (maternal, newborn, child health and nutrition). A National Steering Group oversaw the exercise and four theme-specific Research Sub-Committees technically supported finalizing the scoring criteria and refinement of research ideas for the respective thematic areas. The exercise engaged participants from 256 institutions across India - 4003 research ideas were generated from 498 experts which were consolidated into 373 research options (maternal health: 122; newborn health: 56; child health: 101; nutrition: 94); 893 experts scored these against five criteria (answerability, relevance, equity, innovation and out-of-box thinking, investment on research). Relative weights to the criteria were assigned by 79 members from the Larger Reference Group. Given India's diversity, priorities were identified at national and three regional levels: (i) the Empowered Action Group (EAG) and North-Eastern States; (ii) States and Union territories in Northern India (including West Bengal); and (iii) States and Union territories in Southern and Western parts of India. The exercise leveraged the inherent flexibility of the CHNRI method in multiple ways. It expanded on the CHNRI methodology enabling analyses for identification of research priorities at national and regional levels. However, prioritization of research options are only valuable if they are put to use, and we hope that donors will take advantage of this prioritized list of research options.

Test method research on weakening interface strength of steel - concrete under cyclic loading

NASA Astrophysics Data System (ADS)

Liu, Ming-wei; Zhang, Fang-hua; Su, Guang-quan

2018-02-01

The mechanical properties of steel - concrete interface under cyclic loading are the key factors affecting the rule of horizontal load transfer, the calculation of bearing capacity and cumulative horizontal deformation. Cyclic shear test is an effective method to study the strength reduction of steel - concrete interface. A test system composed of large repeated direct shear test instrument, hydraulic servo system, data acquisition system, test control software system and so on is independently designed, and a set of test method, including the specimen preparation, the instrument preparation, the loading method and so on, is put forward. By listing a set of test results, the validity of the test method is verified. The test system and the test method based on it provide a reference for the experimental study on mechanical properties of steel - concrete interface.

Applied nursing informatics research - state-of-the-art methodologies using electronic health record data.

PubMed

Park, Jung In; Pruinelli, Lisiane; Westra, Bonnie L; Delaney, Connie W

2014-01-01

With the pervasive implementation of electronic health records (EHR), new opportunities arise for nursing research through use of EHR data. Increasingly, comparative effectiveness research within and across health systems is conducted to identify the impact of nursing for improving health, health care, and lowering costs of care. Use of EHR data for this type of research requires use of national and internationally recognized nursing terminologies to normalize data. Research methods are evolving as large data sets become available through EHRs. Little is known about the types of research and analytic methods for applied to nursing research using EHR data normalized with nursing terminologies. The purpose of this paper is to report on a subset of a systematic review of peer reviewed studies related to applied nursing informatics research involving EHR data using standardized nursing terminologies.

Top 10 research priorities relating to stroke nursing: a rigorous approach to establish a national nurse-led research agenda.

PubMed

Rowat, Anne; Pollock, Alex; St George, Bridget; Cowey, Eileen; Booth, Joanne; Lawrence, Maggie

2016-11-01

To determine the top 10 research priorities specific to stroke nursing. It is important that stroke nurses build their research capability and capacity. This project built on a previous James Lind Alliance prioritization project, which established the shared stroke research priorities of stroke survivors, carers and health professionals. Research priority setting project using James Lind Alliance methods; a survey for interim prioritization and a consensus meeting for final priority setting. Between September - November 2014, stroke nurses were invited to select their top 10 priorities from a previously established list of 226 unique unanswered questions. These data were used to generate a list of shared research priorities (interim priority setting stage). A purposefully selected group of stroke nurses attended a final consensus meeting (April 2015) to determine the top 10 research priorities. During the interim prioritization stage, 97 stroke nurses identified 28 shared priority treatment uncertainties. At the final consensus meeting, 27 stroke nurses reached agreement on the top 10 stroke nursing research priorities. Five of the top 10 questions relate to stroke-specific impairments and five relate to rehabilitation and long-term consequences of stroke. The research agenda for stroke nursing has now been clearly defined, facilitating nurses to undertake research, which is of importance to stroke survivors and carers and central to supporting optimal recovery and quality of life after stroke. © 2016 John Wiley & Sons Ltd.

Implementation of genomics research in Africa: challenges and recommendations

PubMed Central

Adebamowo, Sally N.; Francis, Veronica; Tambo, Ernest; Diallo, Seybou H.; Landouré, Guida; Nembaware, Victoria; Dareng, Eileen; Muhamed, Babu; Odutola, Michael; Akeredolu, Teniola; Nerima, Barbara; Ozumba, Petronilla J.; Mbhele, Slee; Ghanash, Anita; Wachinou, Ablo P.; Ngomi, Nicholas

2018-01-01

ABSTRACT Background: There is exponential growth in the interest and implementation of genomics research in Africa. This growth has been facilitated by the Human Hereditary and Health in Africa (H3Africa) initiative, which aims to promote a contemporary research approach to the study of genomics and environmental determinants of common diseases in African populations. Objective: The purpose of this article is to describe important challenges affecting genomics research implementation in Africa. Methods: The observations, challenges and recommendations presented in this article were obtained through discussions by African scientists at teleconferences and face-to-face meetings, seminars at consortium conferences and in-depth individual discussions. Results: Challenges affecting genomics research implementation in Africa, which are related to limited resources include ill-equipped facilities, poor accessibility to research centers, lack of expertise and an enabling environment for research activities in local hospitals. Challenges related to the research study include delayed funding, extensive procedures and interventions requiring multiple visits, delays setting up research teams and insufficient staff training, language barriers and an underappreciation of cultural norms. While many African countries are struggling to initiate genomics projects, others have set up genomics research facilities that meet international standards. Conclusions: The lessons learned in implementing successful genomics projects in Africa are recommended as strategies to overcome these challenges. These recommendations may guide the development and application of new research programs in low-resource settings. PMID:29336236

Lazy collaborative filtering for data sets with missing values.

PubMed

Ren, Yongli; Li, Gang; Zhang, Jun; Zhou, Wanlei

2013-12-01

As one of the biggest challenges in research on recommender systems, the data sparsity issue is mainly caused by the fact that users tend to rate a small proportion of items from the huge number of available items. This issue becomes even more problematic for the neighborhood-based collaborative filtering (CF) methods, as there are even lower numbers of ratings available in the neighborhood of the query item. In this paper, we aim to address the data sparsity issue in the context of neighborhood-based CF. For a given query (user, item), a set of key ratings is first identified by taking the historical information of both the user and the item into account. Then, an auto-adaptive imputation (AutAI) method is proposed to impute the missing values in the set of key ratings. We present a theoretical analysis to show that the proposed imputation method effectively improves the performance of the conventional neighborhood-based CF methods. The experimental results show that our new method of CF with AutAI outperforms six existing recommendation methods in terms of accuracy.

The Harmonizing Outcome Measures for Eczema (HOME) roadmap: a methodological framework to develop core sets of outcome measurements in dermatology.

PubMed

Schmitt, Jochen; Apfelbacher, Christian; Spuls, Phyllis I; Thomas, Kim S; Simpson, Eric L; Furue, Masutaka; Chalmers, Joanne; Williams, Hywel C

2015-01-01

Core outcome sets (COSs) are consensus-derived minimum sets of outcomes to be assessed in a specific situation. COSs are being increasingly developed to limit outcome-reporting bias, allow comparisons across trials, and strengthen clinical decision making. Despite the increasing interest in outcomes research, methods to develop COSs have not yet been standardized. The aim of this paper is to present the Harmonizing Outcomes Measures for Eczema (HOME) roadmap for the development and implementation of COSs, which was developed on the basis of our experience in the standardization of outcome measurements for atopic eczema. Following the establishment of a panel representing all relevant stakeholders and a research team experienced in outcomes research, the scope and setting of the core set should be defined. The next steps are the definition of a core set of outcome domains such as symptoms or quality of life, followed by the identification or development and validation of appropriate outcome measurement instruments to measure these core domains. Finally, the consented COS needs to be disseminated, implemented, and reviewed. We believe that the HOME roadmap is a useful methodological framework to develop COSs in dermatology, with the ultimate goal of better decision making and promoting patient-centered health care.

76 FR 38621 - Takes of Marine Mammals Incidental to Specified Activities; Marine Geophysical Survey in the...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-01

... by LGL Ltd., Environmental Research Associates (LGL), on behalf of NSF and L-DEO. The NMFS Biological... must set forth the permissible methods of taking, other means of effecting the least practicable... scientific information and estimation methodology. The alternative method of conducting site-specific...

La pronunciacion espanola y los metodos de investigacion. (Spanish Pronunciation and Methods of Investigation.)

ERIC Educational Resources Information Center

Torreblanca, Maximo

1988-01-01

Discusses the validity of studies of Spanish pronunciation in terms of research methods employed. Topics include data collection in the laboratory vs. in a natural setting; recorded vs. non-recorded data; quality of the recording; aural analysis vs. spectrographic analysis; and transcriber reliability. Suggestions for improving data collection are…

Improving Sampling and Response Rates in Children's Health Research through Participatory Methods

ERIC Educational Resources Information Center

Claudio, Luz; Stingone, Jeanette A.

2008-01-01

Background: Children's health is an important indicator of community health because children are especially vulnerable to disease. The school setting is ideal for assessing these vulnerabilities and prevalence of disease, yet the methods that produce high participation among students and their families are not usually described or evaluated. This…

Corridor incident management (CIM)

DOT National Transportation Integrated Search

2007-09-01

The objective of the Corridor Incident Management (CIM) research project was to develop and demonstrate a set of multi-purpose methods, tools and databases to improve corridor incident management in Tennessee, relying primarily on resources already a...

Evaluation of health promotion in schools: a realistic evaluation approach using mixed methods

PubMed Central

2010-01-01

Background Schools are key settings for health promotion (HP) but the development of suitable approaches for evaluating HP in schools is still a major topic of discussion. This article presents a research protocol of a program developed to evaluate HP. After reviewing HP evaluation issues, the various possible approaches are analyzed and the importance of a realistic evaluation framework and a mixed methods (MM) design are demonstrated. Methods/Design The design is based on a systemic approach to evaluation, taking into account the mechanisms, context and outcomes, as defined in realistic evaluation, adjusted to our own French context using an MM approach. The characteristics of the design are illustrated through the evaluation of a nationwide HP program in French primary schools designed to enhance children's social, emotional and physical health by improving teachers' HP practices and promoting a healthy school environment. An embedded MM design is used in which a qualitative data set plays a supportive, secondary role in a study based primarily on a different quantitative data set. The way the qualitative and quantitative approaches are combined through the entire evaluation framework is detailed. Discussion This study is a contribution towards the development of suitable approaches for evaluating HP programs in schools. The systemic approach of the evaluation carried out in this research is appropriate since it takes account of the limitations of traditional evaluation approaches and considers suggestions made by the HP research community. PMID:20109202

Research on common methods for evaluating the operation effect of integrated wastewater treatment facilities of iron and steel enterprises

NASA Astrophysics Data System (ADS)

Bingsheng, Xu

2017-04-01

Considering the large quantities of wastewater generated from iron and steel enterprises in China, this paper is aimed to research the common methods applied for evaluating the integrated wastewater treatment effect of iron and steel enterprises. Based on survey results on environmental protection performance, technological economy, resource & energy consumption, services and management, an indicator system for evaluating the operation effect of integrated wastewater treatment facilities is set up. By discussing the standards and industrial policies in and out of China, 27 key secondary indicators are further defined on the basis of investigation on main equipment and key processes for wastewater treatment, so as to determine the method for setting key quantitative and qualitative indicators for evaluation indicator system. It is also expected to satisfy the basic requirements of reasonable resource allocation, environmental protection and sustainable economic development, further improve the integrated wastewater treatment effect of iron and steel enterprises, and reduce the emission of hazardous substances and environmental impact.

Production of long-term global water vapor and liquid water data set using ultra-fast methods to assimilate multi-satellite and radiosonde observations

NASA Technical Reports Server (NTRS)

Vonderhaar, Thomas H.; Randel, David L.; Reinke, Donald L.; Stephens, Graeme L.; Ringerud, Mark A.; Combs, Cynthia L.; Greenwald, Thomas J.; Wittmeyer, Ian L.

1994-01-01

In recent years climate research scientists have recognized the need for increased time and space resolution precipitable and liquid water data sets. This project is designed to meet those needs. Specifically, NASA is funding STC-METSAT to develop a total integrated column and layered precipitable water data set. This is complemented by a total column liquid water data set. These data are global in extent, 1 deg x 1 deg in resolution, with daily grids produced. Precipitable water is measured by a combination of in situ radiosonde observations and satellite derived infrared and microwave retrievals from four satellites. This project combines these data into a coherent merged product for use in global climate research. This report is the Year 2 Annual Report from this NASA-sponsored project and includes progress-to-date on the assigned tasks.

Remedial Learners in a Community College Setting Contribute to Their Own Academic Success: Identifying Effective Teaching and Learning Strategies, Delivery Methods and Instructional Technologies for Remedial Learners

ERIC Educational Resources Information Center

Bollash, Mary C.

2013-01-01

The purpose of this research was to expand on previous research surrounding remedial education at the college level. This research was conducted in four phases and identified common traits for a population of remedial learners and then determined how these common elements, when implemented, positively impacted the academic success for learners in…

Pathway Distiller - multisource biological pathway consolidation

PubMed Central

2012-01-01

Background One method to understand and evaluate an experiment that produces a large set of genes, such as a gene expression microarray analysis, is to identify overrepresentation or enrichment for biological pathways. Because pathways are able to functionally describe the set of genes, much effort has been made to collect curated biological pathways into publicly accessible databases. When combining disparate databases, highly related or redundant pathways exist, making their consolidation into pathway concepts essential. This will facilitate unbiased, comprehensive yet streamlined analysis of experiments that result in large gene sets. Methods After gene set enrichment finds representative pathways for large gene sets, pathways are consolidated into representative pathway concepts. Three complementary, but different methods of pathway consolidation are explored. Enrichment Consolidation combines the set of the pathways enriched for the signature gene list through iterative combining of enriched pathways with other pathways with similar signature gene sets; Weighted Consolidation utilizes a Protein-Protein Interaction network based gene-weighting approach that finds clusters of both enriched and non-enriched pathways limited to the experiments' resultant gene list; and finally the de novo Consolidation method uses several measurements of pathway similarity, that finds static pathway clusters independent of any given experiment. Results We demonstrate that the three consolidation methods provide unified yet different functional insights of a resultant gene set derived from a genome-wide profiling experiment. Results from the methods are presented, demonstrating their applications in biological studies and comparing with a pathway web-based framework that also combines several pathway databases. Additionally a web-based consolidation framework that encompasses all three methods discussed in this paper, Pathway Distiller (http://cbbiweb.uthscsa.edu/PathwayDistiller), is established to allow researchers access to the methods and example microarray data described in this manuscript, and the ability to analyze their own gene list by using our unique consolidation methods. Conclusions By combining several pathway systems, implementing different, but complementary pathway consolidation methods, and providing a user-friendly web-accessible tool, we have enabled users the ability to extract functional explanations of their genome wide experiments. PMID:23134636

On the use of cartographic projections in visualizing phylo-genetic tree space

PubMed Central

2010-01-01

Phylogenetic analysis is becoming an increasingly important tool for biological research. Applications include epidemiological studies, drug development, and evolutionary analysis. Phylogenetic search is a known NP-Hard problem. The size of the data sets which can be analyzed is limited by the exponential growth in the number of trees that must be considered as the problem size increases. A better understanding of the problem space could lead to better methods, which in turn could lead to the feasible analysis of more data sets. We present a definition of phylogenetic tree space and a visualization of this space that shows significant exploitable structure. This structure can be used to develop search methods capable of handling much larger data sets. PMID:20529355

Role of Logic and Mentality as the Basics of Wittgenstein's Picture Theory of Language and Extracting Educational Principles and Methods According to This Theory

ERIC Educational Resources Information Center

Heshi, Kamal Nosrati; Nasrabadi, Hassanali Bakhtiyar

2016-01-01

The present paper attempts to recognize principles and methods of education based on Wittgenstein's picture theory of language. This qualitative research utilized inferential analytical approach to review the related literature and extracted a set of principles and methods from his theory on picture language. Findings revealed that Wittgenstein…

Usability testing of a Falls Prevention Tool Kit for an inpatient acute care setting.

PubMed

Goldsmith, Denise; Zuyev, Lyubov; Benoit, Angie; Chang, Frank Y; Horsky, Jan; Dykes, Patricia

2009-01-01

Efforts to prevent falls in the hospital setting involves identifying patients at risk of falling and implementing fall prevention strategies. This poster describes the method and results of Performance Usability Testing on a web-based Fall Prevention Tool Kit (FPTK) developed as part of a research study, (Falls TIPS-Tailoring Interventions for Patient Safety) funded by The Robert Wood Johnson Foundation.

Scaling Tennis Racquets during PE in Primary School to Enhance Motor Skill Acquisition

ERIC Educational Resources Information Center

Buszard, Tim; Reid, Machar; Masters, Rich S. W.; Farrow, Damian

2016-01-01

Purpose: Research supporting the skill acquisition benefits of scaling sports equipment for children in a real-world setting where child-to-coach ratios are high is scarce. Thus, the aim of this study was to examine the influence of scaling the tennis racquet on children's skill acquisition in a primary school setting. Method: Children aged 6 to 7…

Developing a framework for community-based sexual health interventions for youth in the rural setting: protocol for a participatory action research study

PubMed Central

Heslop, Carl William; Burns, Sharyn; Lobo, Roanna; McConigley, Ruth

2017-01-01

Introduction There is limited research examining community-based or multilevel interventions that address the sexual health of young people in the rural Australian context. This paper describes the Participatory Action Research (PAR) project that will develop and validate a framework that is effective for planning, implementing and evaluating multilevel community-based sexual health interventions for young people aged 16–24 years in the Australian rural setting. Methods and analysis To develop a framework for sexual health interventions with stakeholders, PAR will be used. Three PAR cycles will be conducted, using semistructured one-on-one interviews, focus groups, community mapping and photovoice to inform the development of a draft framework. Cycle 2 and Cycle 3 will use targeted Delphi studies to gather evaluation and feedback on the developed draft framework. All data collected will be reviewed and analysed in detail and coded as concepts become apparent at each stage of the process. Ethics and dissemination This protocol describes a supervised doctoral research project. This project seeks to contribute to the literature regarding PAR in the rural setting and the use of the Delphi technique within PAR projects. The developed framework as a result of the project will provide a foundation for further research testing the application of the framework in other settings and health areas. This research has received ethics approval from the Curtin University Human Research and Ethics Committee (HR96/2015). PMID:28559453

Emerging Topics and Innovative Methodologies in Cannabis Research

PubMed Central

Albright, Victoria A; Johnson, Eric Otto

2018-01-01

Aims And Scope: Cannabis use is ascendant in our society, affecting the health of our citizens, our social norms and social structures, and our economies. This special issue brings together a diverse set of research manuscripts that push the borders of our understanding of burgeoning cannabis use and displays innovative methods developed to study these phenomena. PMID:29795983

Art Integration Fosters Empathy in the Middle School Classroom

ERIC Educational Resources Information Center

Bradshaw, R. Darden

2016-01-01

In this article, I highlight findings from a nine-day unit embedded within a larger, four-month long qualitative action research study set in a public middle school. My goal in conducting this research was examination of relationships between visual culture and art integration as a method of fostering students to find voice while taking risks. A…

The Visibility of Information Science and Library Science Research in Bibliometric Mapping of the LIS Field

ERIC Educational Resources Information Center

Astrom, Fredrik

2010-01-01

The relation between information science and library science has been debated for decades, and even attempts at utilizing methods generally acknowledged as robust for the purpose of mapping research fields have yielded results with large variations. Therefore, a set of citation analyses was performed, comparing the results of analyses on…

Confronting Analytical Dilemmas for Understanding Complex Human Interactions in Design-Based Research from a Cultural-Historical Activity Theory (CHAT) Framework

ERIC Educational Resources Information Center

Yamagata-Lynch, Lisa C.

2007-01-01

Understanding human activity in real-world situations often involves complicated data collection, analysis, and presentation methods. This article discusses how Cultural-Historical Activity Theory (CHAT) can inform design-based research practices that focus on understanding activity in real-world situations. I provide a sample data set with…

The Delaware Geography-Health Initiative: Lessons Learned in Designing a GIS-Based Curriculum

ERIC Educational Resources Information Center

Rees, Peter W.; Silberman, Jordan A.

2010-01-01

The Delaware Geography-Health Initiative is a Web- and GIS-based set of lesson units for teaching geographic concepts and research methods within the context of the state's high school geography standards. Each unit follows a research-based, inquiry-centered model addressing questions of health because of Delaware's high incidence of cancer,…

Culture Change in Long-Term Care: Participatory Action Research and the Role of the Resident

ERIC Educational Resources Information Center

Shura, Robin; Siders, Rebecca A.; Dannefer, Dale

2011-01-01

Purpose: This study's purpose was to advance the process of culture change within long-term care (LTC) and assisted living settings by using participatory action research (PAR) to promote residents' competence and nourish the culture change process with the active engagement and leadership of residents. Design and Methods: Seven unit-specific PAR…

The Faculty's Perception of Web-Based Instruction Application in Iran's Higher Education

ERIC Educational Resources Information Center

Gholami, Khalil; Sayadi, Yaser

2012-01-01

This paper addresses the faculty perception on web-based instruction in order to explain the nature of learning and instruction in this setting. Using a mixed method approach, the research studied a sample of 132 University Faculty (lecturers and professors) in University of Kurdistan. The research tools were interview and questionnaire. The…

Case Study Methodology: Flexibility, Rigour, and Ethical Considerations for the Scholarship of Teaching and Learning

ERIC Educational Resources Information Center

Pearson, Marion L.; Albon, Simon P.; Hubball, Harry

2015-01-01

Individuals and teams engaging in the scholarship of teaching and learning (SoTL) in multidisciplinary higher education settings must make decisions regarding choice of research methodology and methods. These decisions are guided by the research context and the goals of the inquiry. With reference to our own recent experiences investigating…

78 FR 33369 - Takes of Marine Mammals Incidental to Specified Activities; Low-Energy Marine Geophysical Survey...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-04

... authorization must set forth the permissible methods of taking, other means of effecting the least practicable...-May 2013,'' prepared by LGL Ltd., Environmental Research Associates, on behalf of USGS, which is also... Hydrates Project also researches the impact of climate change on natural gas hydrates and the impact of...

Science of Learning Is Learning of Science: Why We Need a Dialectical Approach to Science Education Research

ERIC Educational Resources Information Center

Roth, Wolff-Michael

2012-01-01

Research on learning science in informal settings and the formal (sometimes experimental) study of learning in classrooms or psychological laboratories tend to be separate domains, even drawing on different theories and methods. These differences make it difficult to compare knowing and learning observed in one paradigm/context with those observed…

SSD for R: A Comprehensive Statistical Package to Analyze Single-System Data

ERIC Educational Resources Information Center

Auerbach, Charles; Schudrich, Wendy Zeitlin

2013-01-01

The need for statistical analysis in single-subject designs presents a challenge, as analytical methods that are applied to group comparison studies are often not appropriate in single-subject research. "SSD for R" is a robust set of statistical functions with wide applicability to single-subject research. It is a comprehensive package…

Measuring the Quality of Life of University Students. Research Monograph Series. Volume 1.

ERIC Educational Resources Information Center

Roberts, Lance W.; Clifton, Rodney A.

This study sought to develop a valid set of scales in the cognitive and affective domains for measuring the quality of life of university students. In addition the study attempted to illustrate the usefulness of Thomas Piazza's procedures for constructing valid scales in educational research. Piazza's method involves a multi-step construction of…

75 FR 19938 - Magnuson-Stevens Act Provisions; General Provisions for Domestic Fisheries; Application for...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-16

... provisions of the Monkfish Research Set-Aside (RSA) Program, would grant exemptions from the monkfish days-at... following methods: Email: [email protected] . Include in the subject line ``Comments on Monkfish RSA Harvest... Maine Research Institute on February 16, 2010, for a project selected under the New England and Mid...

Physical Activity, Dietary Practices, and Other Health Behaviors of At-Risk Youth Attending Alternative High Schools

ERIC Educational Resources Information Center

Kubik, Martha Y.; Lytle, Leslie; Fulkerson, Jayne A.

2004-01-01

This study assessed the interest of alternative high school staff in intervention research on students' eating and physical activity habits and the feasibility of conducting such research in alternative school settings. A two-phase descriptive design incorporated both quantitative and qualitative methods. In fall/winter 2001-2002, alternative high…

Using Response Ratios for Meta-Analyzing Single-Case Designs with Behavioral Outcomes

ERIC Educational Resources Information Center

Pustejovsky, James E.

2018-01-01

Methods for meta-analyzing single-case designs (SCDs) are needed to inform evidence-based practice in clinical and school settings and to draw broader and more defensible generalizations in areas where SCDs comprise a large part of the research base. The most widely used outcomes in single-case research are measures of behavior collected using…

Fifteen Challenges in Establishing a Multidisciplinary Research Program on eHealth Research in a University Setting: A Case Study

PubMed Central

Johansson, Birgitta; Held, Claes; Sjöström, Jonas; Lindahl Norberg, Annika; Hovén, Emma; Sanderman, Robbert; van Achterberg, Theo; von Essen, Louise

2017-01-01

Background U-CARE is a multidisciplinary eHealth research program that involves the disciplines of caring science, clinical psychology, health economics, information systems, and medical science. It was set up from scratch in a university setting in 2010, funded by a governmental initiative. While establishing the research program, many challenges were faced. Systematic documentation of experiences from establishing new research environments is scarce. Objective The aim of this paper was to describe the challenges of establishing a publicly funded multidisciplinary eHealth research environment. Methods Researchers involved in developing the research program U-CARE identified challenges in the formal documentation and by reflecting on their experience of developing the program. The authors discussed the content and organization of challenges into themes until consensus was reached. Results The authors identified 15 major challenges, some general to establishing a new research environment and some specific for multidisciplinary eHealth programs. The challenges were organized into 6 themes: Organization, Communication, Implementation, Legislation, Software development, and Multidisciplinarity. Conclusions Several challenges were faced during the development of the program and several accomplishments were made. By sharing our experience, we hope to help other research groups embarking on a similar journey to be prepared for some of the challenges they are likely to face on their way. PMID:28536090

An improved method to detect correct protein folds using partial clustering.

PubMed

Zhou, Jianjun; Wishart, David S

2013-01-16

Structure-based clustering is commonly used to identify correct protein folds among candidate folds (also called decoys) generated by protein structure prediction programs. However, traditional clustering methods exhibit a poor runtime performance on large decoy sets. We hypothesized that a more efficient "partial" clustering approach in combination with an improved scoring scheme could significantly improve both the speed and performance of existing candidate selection methods. We propose a new scheme that performs rapid but incomplete clustering on protein decoys. Our method detects structurally similar decoys (measured using either C(α) RMSD or GDT-TS score) and extracts representatives from them without assigning every decoy to a cluster. We integrated our new clustering strategy with several different scoring functions to assess both the performance and speed in identifying correct or near-correct folds. Experimental results on 35 Rosetta decoy sets and 40 I-TASSER decoy sets show that our method can improve the correct fold detection rate as assessed by two different quality criteria. This improvement is significantly better than two recently published clustering methods, Durandal and Calibur-lite. Speed and efficiency testing shows that our method can handle much larger decoy sets and is up to 22 times faster than Durandal and Calibur-lite. The new method, named HS-Forest, avoids the computationally expensive task of clustering every decoy, yet still allows superior correct-fold selection. Its improved speed, efficiency and decoy-selection performance should enable structure prediction researchers to work with larger decoy sets and significantly improve their ab initio structure prediction performance.

An improved method to detect correct protein folds using partial clustering

PubMed Central

2013-01-01

Background Structure-based clustering is commonly used to identify correct protein folds among candidate folds (also called decoys) generated by protein structure prediction programs. However, traditional clustering methods exhibit a poor runtime performance on large decoy sets. We hypothesized that a more efficient “partial“ clustering approach in combination with an improved scoring scheme could significantly improve both the speed and performance of existing candidate selection methods. Results We propose a new scheme that performs rapid but incomplete clustering on protein decoys. Our method detects structurally similar decoys (measured using either Cα RMSD or GDT-TS score) and extracts representatives from them without assigning every decoy to a cluster. We integrated our new clustering strategy with several different scoring functions to assess both the performance and speed in identifying correct or near-correct folds. Experimental results on 35 Rosetta decoy sets and 40 I-TASSER decoy sets show that our method can improve the correct fold detection rate as assessed by two different quality criteria. This improvement is significantly better than two recently published clustering methods, Durandal and Calibur-lite. Speed and efficiency testing shows that our method can handle much larger decoy sets and is up to 22 times faster than Durandal and Calibur-lite. Conclusions The new method, named HS-Forest, avoids the computationally expensive task of clustering every decoy, yet still allows superior correct-fold selection. Its improved speed, efficiency and decoy-selection performance should enable structure prediction researchers to work with larger decoy sets and significantly improve their ab initio structure prediction performance. PMID:23323835

Health systems research training enhances workplace research skills: a qualitative evaluation.

PubMed

Adams, Jolene; Schaffer, Angela; Lewin, Simon; Zwarenstein, Merrick; van der Walt, Hester

2003-01-01

In-service education is a widely used means of enhancing the skills of health service providers, for example, in undertaking research. However, the transfer of skills acquired during an education course to the workplace is seldom evaluated. The objectives of this study were to assess learner, teacher, and health service manager perceptions of the usefulness, in the work setting, of skills taught on a health systems research education course in South Africa and to assess the extent to which the course stimulated awareness and development of health systems research in the work setting. The education course was evaluated using a qualitative approach. Respondents were selected for interview using purposive sampling. Interviews were conducted with 39 respondents, including all of the major stakeholders. The interviews lasted between 20 and 60 minutes and were conducted either face to face or over the telephone. Thematic analysis was applied to the data, and key themes were identified. The course demystified health systems research and stimulated interest in reading and applying research findings. The course also changed participants' attitudes to routine data collection and was reported to have facilitated the application of informal research or problem-solving methods to everyday work situations. However, inadequate support within the workplace was a significant obstacle to applying the skills learned. A 2-week intensive, experiential course in health systems research methods can provide a mechanism for introducing basic research skills to a wide range of learners. Qualitative evaluation is a useful approach for assessing the impacts of education courses.

A New Monte Carlo Filtering Method for the Diagnosis of Mission-Critical Failures

NASA Technical Reports Server (NTRS)

Gay, Gregory; Menzies, Tim; Davies, Misty; Gundy-Burlet, Karen

2009-01-01

Testing large-scale systems is expensive in terms of both time and money. Running simulations early in the process is a proven method of finding the design faults likely to lead to critical system failures, but determining the exact cause of those errors is still time-consuming and requires access to a limited number of domain experts. It is desirable to find an automated method that explores the large number of combinations and is able to isolate likely fault points. Treatment learning is a subset of minimal contrast-set learning that, rather than classifying data into distinct categories, focuses on finding the unique factors that lead to a particular classification. That is, they find the smallest change to the data that causes the largest change in the class distribution. These treatments, when imposed, are able to identify the settings most likely to cause a mission-critical failure. This research benchmarks two treatment learning methods against standard optimization techniques across three complex systems, including two projects from the Robust Software Engineering (RSE) group within the National Aeronautics and Space Administration (NASA) Ames Research Center. It is shown that these treatment learners are both faster than traditional methods and show demonstrably better results.

Comparing biomarkers as principal surrogate endpoints.

PubMed

Huang, Ying; Gilbert, Peter B

2011-12-01

Recently a new definition of surrogate endpoint, the "principal surrogate," was proposed based on causal associations between treatment effects on the biomarker and on the clinical endpoint. Despite its appealing interpretation, limited research has been conducted to evaluate principal surrogates, and existing methods focus on risk models that consider a single biomarker. How to compare principal surrogate value of biomarkers or general risk models that consider multiple biomarkers remains an open research question. We propose to characterize a marker or risk model's principal surrogate value based on the distribution of risk difference between interventions. In addition, we propose a novel summary measure (the standardized total gain) that can be used to compare markers and to assess the incremental value of a new marker. We develop a semiparametric estimated-likelihood method to estimate the joint surrogate value of multiple biomarkers. This method accommodates two-phase sampling of biomarkers and is more widely applicable than existing nonparametric methods by incorporating continuous baseline covariates to predict the biomarker(s), and is more robust than existing parametric methods by leaving the error distribution of markers unspecified. The methodology is illustrated using a simulated example set and a real data set in the context of HIV vaccine trials. © 2011, The International Biometric Society.

iTemplate: A template-based eye movement data analysis approach.

PubMed

Xiao, Naiqi G; Lee, Kang

2018-02-08

Current eye movement data analysis methods rely on defining areas of interest (AOIs). Due to the fact that AOIs are created and modified manually, variances in their size, shape, and location are unavoidable. These variances affect not only the consistency of the AOI definitions, but also the validity of the eye movement analyses based on the AOIs. To reduce the variances in AOI creation and modification and achieve a procedure to process eye movement data with high precision and efficiency, we propose a template-based eye movement data analysis method. Using a linear transformation algorithm, this method registers the eye movement data from each individual stimulus to a template. Thus, users only need to create one set of AOIs for the template in order to analyze eye movement data, rather than creating a unique set of AOIs for all individual stimuli. This change greatly reduces the error caused by the variance from manually created AOIs and boosts the efficiency of the data analysis. Furthermore, this method can help researchers prepare eye movement data for some advanced analysis approaches, such as iMap. We have developed software (iTemplate) with a graphic user interface to make this analysis method available to researchers.

From Controlled Trial to Community Adoption: The Multisite Translational Community Trial

PubMed Central

Murimi, Mary; Gonzalez, Anjelica; Njike, Valentine; Green, Lawrence W.

2011-01-01

Methods for translating the findings of controlled trials, such as the Diabetes Prevention Program, into real-world community application have not been clearly defined. A standardized research methodology for making and evaluating such a transition is needed. We introduce the multisite translational community trial (mTCT) as the research analog to the multisite randomized controlled trial. The mTCT is adapted to incorporate the principles and practices of community-based participatory research and the increased relevance and generalizability gained from diverse community settings. The mTCT is a tool designed to bridge the gap between what a clinical trial demonstrates can work in principle and what is needed to make it workable and effective in real-world settings. Its utility could be put to the test, in particular with practice-based research networks such as the Prevention Research Centers. PMID:21680935

An epistemology of patient safety research: a framework for study design and interpretation. Part 1. Conceptualising and developing interventions.

PubMed

Brown, C; Hofer, T; Johal, A; Thomson, R; Nicholl, J; Franklin, B D; Lilford, R J

2008-06-01

This is the first of a four-part series of articles examining the epistemology of patient safety research. Parts 2 and 3 will describe different study designs and methods of measuring outcomes in the evaluation of patient safety interventions, before Part 4 suggests that "one size does not fit all". Part 1 sets the scene by defining patient safety research as a challenging form of service delivery and organisational research that has to deal (although not exclusively) with some very rare events. It then considers two inter-related ideas: a causal chain that can be used to identify where in an organisation's structure and/or processes an intervention may impact; and the need for preimplementation evaluation of proposed interventions. Finally, the paper outlines the authors' pragmatist ontological stance to patient safety research, which sets the philosophical basis for the remaining three articles.

[Research on spectra recognition method for cabbages and weeds based on PCA and SIMCA].

PubMed

Zu, Qin; Deng, Wei; Wang, Xiu; Zhao, Chun-Jiang

2013-10-01

In order to improve the accuracy and efficiency of weed identification, the difference of spectral reflectance was employed to distinguish between crops and weeds. Firstly, the different combinations of Savitzky-Golay (SG) convolutional derivation and multiplicative scattering correction (MSC) method were applied to preprocess the raw spectral data. Then the clustering analysis of various types of plants was completed by using principal component analysis (PCA) method, and the feature wavelengths which were sensitive for classifying various types of plants were extracted according to the corresponding loading plots of the optimal principal components in PCA results. Finally, setting the feature wavelengths as the input variables, the soft independent modeling of class analogy (SIMCA) classification method was used to identify the various types of plants. The experimental results of classifying cabbages and weeds showed that on the basis of the optimal pretreatment by a synthetic application of MSC and SG convolutional derivation with SG's parameters set as 1rd order derivation, 3th degree polynomial and 51 smoothing points, 23 feature wavelengths were extracted in accordance with the top three principal components in PCA results. When SIMCA method was used for classification while the previously selected 23 feature wavelengths were set as the input variables, the classification rates of the modeling set and the prediction set were respectively up to 98.6% and 100%.

Efficient discovery of risk patterns in medical data.

PubMed

Li, Jiuyong; Fu, Ada Wai-chee; Fahey, Paul

2009-01-01

This paper studies a problem of efficiently discovering risk patterns in medical data. Risk patterns are defined by a statistical metric, relative risk, which has been widely used in epidemiological research. To avoid fruitless search in the complete exploration of risk patterns, we define optimal risk pattern set to exclude superfluous patterns, i.e. complicated patterns with lower relative risk than their corresponding simpler form patterns. We prove that mining optimal risk pattern sets conforms an anti-monotone property that supports an efficient mining algorithm. We propose an efficient algorithm for mining optimal risk pattern sets based on this property. We also propose a hierarchical structure to present discovered patterns for the easy perusal by domain experts. The proposed approach is compared with two well-known rule discovery methods, decision tree and association rule mining approaches on benchmark data sets and applied to a real world application. The proposed method discovers more and better quality risk patterns than a decision tree approach. The decision tree method is not designed for such applications and is inadequate for pattern exploring. The proposed method does not discover a large number of uninteresting superfluous patterns as an association mining approach does. The proposed method is more efficient than an association rule mining method. A real world case study shows that the method reveals some interesting risk patterns to medical practitioners. The proposed method is an efficient approach to explore risk patterns. It quickly identifies cohorts of patients that are vulnerable to a risk outcome from a large data set. The proposed method is useful for exploratory study on large medical data to generate and refine hypotheses. The method is also useful for designing medical surveillance systems.

Highly undersampled MR image reconstruction using an improved dual-dictionary learning method with self-adaptive dictionaries.

PubMed

Li, Jiansen; Song, Ying; Zhu, Zhen; Zhao, Jun

2017-05-01

Dual-dictionary learning (Dual-DL) method utilizes both a low-resolution dictionary and a high-resolution dictionary, which are co-trained for sparse coding and image updating, respectively. It can effectively exploit a priori knowledge regarding the typical structures, specific features, and local details of training sets images. The prior knowledge helps to improve the reconstruction quality greatly. This method has been successfully applied in magnetic resonance (MR) image reconstruction. However, it relies heavily on the training sets, and dictionaries are fixed and nonadaptive. In this research, we improve Dual-DL by using self-adaptive dictionaries. The low- and high-resolution dictionaries are updated correspondingly along with the image updating stage to ensure their self-adaptivity. The updated dictionaries incorporate both the prior information of the training sets and the test image directly. Both dictionaries feature improved adaptability. Experimental results demonstrate that the proposed method can efficiently and significantly improve the quality and robustness of MR image reconstruction.

Sustainability in Health care by Allocating Resources Effectively (SHARE) 2: identifying opportunities for disinvestment in a local healthcare setting.

PubMed

Harris, Claire; Allen, Kelly; King, Richard; Ramsey, Wayne; Kelly, Cate; Thiagarajan, Malar

2017-05-05

This is the second in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. Rising healthcare costs, continuing advances in health technologies and recognition of ineffective practices and systematic waste are driving disinvestment of health technologies and clinical practices that offer little or no benefit in order to maximise outcomes from existing resources. However there is little information to guide regional health services or individual facilities in how they might approach disinvestment locally. This paper outlines the investigation of potential settings and methods for decision-making about disinvestment in the context of an Australian health service. Methods include a literature review on the concepts and terminology relating to disinvestment, a survey of national and international researchers, and interviews and workshops with local informants. A conceptual framework was drafted and refined with stakeholder feedback. There is a lack of common terminology regarding definitions and concepts related to disinvestment and no guidance for an organisation-wide systematic approach to disinvestment in a local healthcare service. A summary of issues from the literature and respondents highlight the lack of theoretical knowledge and practical experience and provide a guide to the information required to develop future models or methods for disinvestment in the local context. A conceptual framework was developed. Three mechanisms that provide opportunities to introduce disinvestment decisions into health service systems and processes were identified. Presented in order of complexity, time to achieve outcomes and resources required they include 1) Explicit consideration of potential disinvestment in routine decision-making, 2) Proactive decision-making about disinvestment driven by available evidence from published research and local data, and 3) Specific exercises in priority setting and system redesign. This framework identifies potential opportunities to initiate disinvestment activities in a systematic integrated approach that can be applied across a whole organisation using transparent, evidence-based methods. Incorporating considerations for disinvestment into existing decision-making systems and processes might be achieved quickly with minimal cost; however establishment of new systems requires research into appropriate methods and provision of appropriate skills and resources to deliver them.

Supervisory needs of research doctoral students in a university teaching hospital setting.

PubMed

Caldwell, Patrina Hy; Oldmeadow, Wendy; Jones, Cheryl A

2012-10-01

Teaching hospitals affiliated with universities are now common sites for research higher degree supervision. We hypothesised that the hospital environment poses unique challenges to supervision compared with the traditional university research institute setting. This study aimed to identify and rank important supervision issues in a clinical setting from the students' perspective. Using the Delphi method to explore issues and facilitate consensus, small group discussions were conducted with 10 research doctoral students from a tertiary teaching hospital. We identified supervision issues that are unique to the hospital-based context. These include the demands placed on supervisors combining clinical and supervisory roles, the challenges of academic medical/scientific writing and career issues for students who are already established in their professions. Other issues identified, common to all doctoral students, include differing expectations between students and supervisors (with students wanting support for their career plans, training in research skills and increasing autonomy and responsibility), supervisor access, quality and frequency of meetings, lack of training in writing and dealing with conflicts. Our research identified that postgraduate students of supervisors who combine clinical and supervisory roles report significant issues with supervision, some of which are unique to the clinical setting. Clinician researchers who supervise postgraduate students need to balance clinical and supervisory responsibilities, identify and negotiate student expectations early in candidature and provide career counselling to students who are already highly experienced. Furthermore, clinician supervisors should undertake postgraduate supervisor training programme tailored to the hospital setting to better support their students. © 2012 The Authors. Journal of Paediatrics and Child Health © 2012 Paediatrics and Child Health Division (Royal Australasian College of Physicians).

Detecting discordance enrichment among a series of two-sample genome-wide expression data sets.

PubMed

Lai, Yinglei; Zhang, Fanni; Nayak, Tapan K; Modarres, Reza; Lee, Norman H; McCaffrey, Timothy A

2017-01-25

With the current microarray and RNA-seq technologies, two-sample genome-wide expression data have been widely collected in biological and medical studies. The related differential expression analysis and gene set enrichment analysis have been frequently conducted. Integrative analysis can be conducted when multiple data sets are available. In practice, discordant molecular behaviors among a series of data sets can be of biological and clinical interest. In this study, a statistical method is proposed for detecting discordance gene set enrichment. Our method is based on a two-level multivariate normal mixture model. It is statistically efficient with linearly increased parameter space when the number of data sets is increased. The model-based probability of discordance enrichment can be calculated for gene set detection. We apply our method to a microarray expression data set collected from forty-five matched tumor/non-tumor pairs of tissues for studying pancreatic cancer. We divided the data set into a series of non-overlapping subsets according to the tumor/non-tumor paired expression ratio of gene PNLIP (pancreatic lipase, recently shown it association with pancreatic cancer). The log-ratio ranges from a negative value (e.g. more expressed in non-tumor tissue) to a positive value (e.g. more expressed in tumor tissue). Our purpose is to understand whether any gene sets are enriched in discordant behaviors among these subsets (when the log-ratio is increased from negative to positive). We focus on KEGG pathways. The detected pathways will be useful for our further understanding of the role of gene PNLIP in pancreatic cancer research. Among the top list of detected pathways, the neuroactive ligand receptor interaction and olfactory transduction pathways are the most significant two. Then, we consider gene TP53 that is well-known for its role as tumor suppressor in cancer research. The log-ratio also ranges from a negative value (e.g. more expressed in non-tumor tissue) to a positive value (e.g. more expressed in tumor tissue). We divided the microarray data set again according to the expression ratio of gene TP53. After the discordance enrichment analysis, we observed overall similar results and the above two pathways are still the most significant detections. More interestingly, only these two pathways have been identified for their association with pancreatic cancer in a pathway analysis of genome-wide association study (GWAS) data. This study illustrates that some disease-related pathways can be enriched in discordant molecular behaviors when an important disease-related gene changes its expression. Our proposed statistical method is useful in the detection of these pathways. Furthermore, our method can also be applied to genome-wide expression data collected by the recent RNA-seq technology.

Qualitative research methods: key features and insights gained from use in infection prevention research.

PubMed

Forman, Jane; Creswell, John W; Damschroder, Laura; Kowalski, Christine P; Krein, Sarah L

2008-12-01

Infection control professionals and hospital epidemiologists are accustomed to using quantitative research. Although quantitative studies are extremely important in the field of infection control and prevention, often they cannot help us explain why certain factors affect the use of infection control practices and identify the underlying mechanisms through which they do so. Qualitative research methods, which use open-ended techniques, such as interviews, to collect data and nonstatistical techniques to analyze it, provide detailed, diverse insights of individuals, useful quotes that bring a realism to applied research, and information about how different health care settings operate. Qualitative research can illuminate the processes underlying statistical correlations, inform the development of interventions, and show how interventions work to produce observed outcomes. This article describes the key features of qualitative research and the advantages that such features add to existing quantitative research approaches in the study of infection control. We address the goal of qualitative research, the nature of the research process, sampling, data collection and analysis, validity, generalizability of findings, and presentation of findings. Health services researchers are increasingly using qualitative methods to address practical problems by uncovering interacting influences in complex health care environments. Qualitative research methods, applied with expertise and rigor, can contribute important insights to infection prevention efforts.

Estimating genome-wide regulatory activity from multi-omics data sets using mathematical optimization.

PubMed

Trescher, Saskia; Münchmeyer, Jannes; Leser, Ulf

2017-03-27

Gene regulation is one of the most important cellular processes, indispensable for the adaptability of organisms and closely interlinked with several classes of pathogenesis and their progression. Elucidation of regulatory mechanisms can be approached by a multitude of experimental methods, yet integration of the resulting heterogeneous, large, and noisy data sets into comprehensive and tissue or disease-specific cellular models requires rigorous computational methods. Recently, several algorithms have been proposed which model genome-wide gene regulation as sets of (linear) equations over the activity and relationships of transcription factors, genes and other factors. Subsequent optimization finds those parameters that minimize the divergence of predicted and measured expression intensities. In various settings, these methods produced promising results in terms of estimating transcription factor activity and identifying key biomarkers for specific phenotypes. However, despite their common root in mathematical optimization, they vastly differ in the types of experimental data being integrated, the background knowledge necessary for their application, the granularity of their regulatory model, the concrete paradigm used for solving the optimization problem and the data sets used for evaluation. Here, we review five recent methods of this class in detail and compare them with respect to several key properties. Furthermore, we quantitatively compare the results of four of the presented methods based on publicly available data sets. The results show that all methods seem to find biologically relevant information. However, we also observe that the mutual result overlaps are very low, which contradicts biological intuition. Our aim is to raise further awareness of the power of these methods, yet also to identify common shortcomings and necessary extensions enabling focused research on the critical points.

Multiple triangulation and collaborative research using qualitative methods to explore decision making in pre-hospital emergency care.

PubMed

Johnson, Maxine; O'Hara, Rachel; Hirst, Enid; Weyman, Andrew; Turner, Janette; Mason, Suzanne; Quinn, Tom; Shewan, Jane; Siriwardena, A Niroshan

2017-01-24

Paramedics make important and increasingly complex decisions at scene about patient care. Patient safety implications of influences on decision making in the pre-hospital setting were previously under-researched. Cutting edge perspectives advocate exploring the whole system rather than individual influences on patient safety. Ethnography (the study of people and cultures) has been acknowledged as a suitable method for identifying health care issues as they occur within the natural context. In this paper we compare multiple methods used in a multi-site, qualitative study that aimed to identify system influences on decision making. The study was conducted in three NHS Ambulance Trusts in England and involved researchers from each Trust working alongside academic researchers. Exploratory interviews with key informants e.g. managers (n = 16) and document review provided contextual information. Between October 2012 and July 2013 researchers observed 34 paramedic shifts and ten paramedics provided additional accounts via audio-recorded 'digital diaries' (155 events). Three staff focus groups (total n = 21) and three service user focus groups (total n = 23) explored a range of experiences and perceptions. Data collection and analysis was carried out by academic and ambulance service researchers as well as service users. Workshops were held at each site to elicit feedback on the findings and facilitate prioritisation of issues identified. The use of a multi-method qualitative approach allowed cross-validation of important issues for ambulance service staff and service users. A key factor in successful implementation of the study was establishing good working relationships with academic and ambulance service teams. Enrolling at least one research lead at each site facilitated the recruitment process as well as study progress. Active involvement with the study allowed ambulance service researchers and service users to gain a better understanding of the research process. Feedback workshops allowed stakeholders to discuss and prioritise findings as well as identify new research areas. Combining multiple qualitative methods with a collaborative research approach can facilitate exploration of system influences on patient safety in under-researched settings. The paper highlights empirical issues, strengths and limitations for this approach. Feedback workshops were effective for verifying findings and prioritising areas for future intervention and research.

Ethnographic research in immigrant-specific drug abuse recovery houses.

PubMed

Pagano, Anna; Lee, Juliet P; García, Victor; Recarte, Carlos

2018-01-01

Access to study populations is a major concern for drug use and treatment researchers. Spaces related to drug use and treatment have varying levels of researcher accessibility based on several issues, including legality, public versus private settings, and insider/outsider status. Ethnographic research methods are indispensable for gaining and maintaining access to hidden or "hard-to-reach" populations. Here, we discuss our long-term ethnographic research on drug abuse recovery houses created by and for Latino migrants and immigrants in Northern California. We take our field work experiences as a case study to examine the problem of researcher access and how ethnographic strategies can be successfully applied to address it, focusing especially on issues of entrée, building rapport, and navigating field-specific challenges related to legality, public/private settings, and insider/outsider status. We conclude that continued funding support for ethnography is essential for promoting health disparities research focused on diverse populations in recovery from substance use disorders.

Goal-setting to Promote a Healthier Lifestyle in Later Life: Qualitative Evaluation of the AgeWell Trial

PubMed Central

Nelis, Sharon M.; Thom, Jeanette M.; Jones, Ian Rees; Hindle, John V.

2018-01-01

ABSTRACT Objective: We report a mixed method evaluation of the feasibility and implementation of the AgeWell goal-setting intervention to promote healthy ageing later life. Method: Researcher field notes, goal-setting interview content, and semi-structured interviews with participants were content analysed to review trial implementation and participants’ perspective on the goal-setting and mentoring intervention. Results: 75 people were recruited: 21 in the goal-setting and 22 in the goal-setting with mentoring arms of the intervention. Goal-setting was feasible in the main domains of interest. Adherence to the protocol was good and the mentoring schedule was adhered to. Participants reported satisfaction with their goal attainment, but barriers for non-achievement were also identified. Recommendations for small changes to the intervention included reducing the number of goals. Conclusions: Participants understood the goal-setting process, and were able to set realistic and achievable lifestyle goals. The intervention and the procedures were acceptable but changes in how goal-setting is both introduced and monitored are needed for wider implementation. Clinical Implications: Goal-setting can be a useful process to help people alter their lifestyle to allow them to age more successfully and reduce risk factors associated with dementia. PMID:29308992

Using Non-experimental Data to Estimate Treatment Effects

PubMed Central

Stuart, Elizabeth A.; Marcus, Sue M.; Horvitz-Lennon, Marcela V.; Gibbons, Robert D.; Normand, Sharon-Lise T.

2009-01-01

While much psychiatric research is based on randomized controlled trials (RCTs), where patients are randomly assigned to treatments, sometimes RCTs are not feasible. This paper describes propensity score approaches, which are increasingly used for estimating treatment effects in non-experimental settings. The primary goal of propensity score methods is to create sets of treated and comparison subjects who look as similar as possible, in essence replicating a randomized experiment, at least with respect to observed patient characteristics. A study to estimate the metabolic effects of antipsychotic medication in a sample of Florida Medicaid beneficiaries with schizophrenia illustrates methods. PMID:20563313

Methylation Integration (Mint) | Informatics Technology for Cancer Research (ITCR)

Cancer.gov

A comprehensive software pipeline and set of Galaxy tools/workflows for integrative analysis of genome-wide DNA methylation and hydroxymethylation data. Data types can be either bisulfite sequencing and/or pull-down methods.

The medline UK filter: development and validation of a geographic search filter to retrieve research about the UK from OVID medline.

PubMed

Ayiku, Lynda; Levay, Paul; Hudson, Tom; Craven, Jenny; Barrett, Elizabeth; Finnegan, Amy; Adams, Rachel

2017-07-13

A validated geographic search filter for the retrieval of research about the United Kingdom (UK) from bibliographic databases had not previously been published. To develop and validate a geographic search filter to retrieve research about the UK from OVID medline with high recall and precision. Three gold standard sets of references were generated using the relative recall method. The sets contained references to studies about the UK which had informed National Institute for Health and Care Excellence (NICE) guidance. The first and second sets were used to develop and refine the medline UK filter. The third set was used to validate the filter. Recall, precision and number-needed-to-read (NNR) were calculated using a case study. The validated medline UK filter demonstrated 87.6% relative recall against the third gold standard set. In the case study, the medline UK filter demonstrated 100% recall, 11.4% precision and a NNR of nine. A validated geographic search filter to retrieve research about the UK with high recall and precision has been developed. The medline UK filter can be applied to systematic literature searches in OVID medline for topics with a UK focus. © 2017 Crown copyright. Health Information and Libraries Journal © 2017 Health Libraries GroupThis article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.

Decision Support Methods and Tools

NASA Technical Reports Server (NTRS)

Green, Lawrence L.; Alexandrov, Natalia M.; Brown, Sherilyn A.; Cerro, Jeffrey A.; Gumbert, Clyde r.; Sorokach, Michael R.; Burg, Cecile M.

2006-01-01

This paper is one of a set of papers, developed simultaneously and presented within a single conference session, that are intended to highlight systems analysis and design capabilities within the Systems Analysis and Concepts Directorate (SACD) of the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC). This paper focuses on the specific capabilities of uncertainty/risk analysis, quantification, propagation, decomposition, and management, robust/reliability design methods, and extensions of these capabilities into decision analysis methods within SACD. These disciplines are discussed together herein under the name of Decision Support Methods and Tools. Several examples are discussed which highlight the application of these methods within current or recent aerospace research at the NASA LaRC. Where applicable, commercially available, or government developed software tools are also discussed

Improving record linkage performance in the presence of missing linkage data.

PubMed

Ong, Toan C; Mannino, Michael V; Schilling, Lisa M; Kahn, Michael G

2014-12-01

Existing record linkage methods do not handle missing linking field values in an efficient and effective manner. The objective of this study is to investigate three novel methods for improving the accuracy and efficiency of record linkage when record linkage fields have missing values. By extending the Fellegi-Sunter scoring implementations available in the open-source Fine-grained Record Linkage (FRIL) software system we developed three novel methods to solve the missing data problem in record linkage, which we refer to as: Weight Redistribution, Distance Imputation, and Linkage Expansion. Weight Redistribution removes fields with missing data from the set of quasi-identifiers and redistributes the weight from the missing attribute based on relative proportions across the remaining available linkage fields. Distance Imputation imputes the distance between the missing data fields rather than imputing the missing data value. Linkage Expansion adds previously considered non-linkage fields to the linkage field set to compensate for the missing information in a linkage field. We tested the linkage methods using simulated data sets with varying field value corruption rates. The methods developed had sensitivity ranging from .895 to .992 and positive predictive values (PPV) ranging from .865 to 1 in data sets with low corruption rates. Increased corruption rates lead to decreased sensitivity for all methods. These new record linkage algorithms show promise in terms of accuracy and efficiency and may be valuable for combining large data sets at the patient level to support biomedical and clinical research. Copyright © 2014 Elsevier Inc. All rights reserved.

The Human Microbiome and Understanding the 16S rRNA Gene in Translational Nursing Science

PubMed Central

Ames, Nancy J.; Ranucci, Alexandra; Moriyama, Brad; Wallen, Gwenyth R.

2017-01-01

Background As more is understood regarding the human microbiome, it is increasingly important for nurse scientists and health care practitioners to analyze these microbial communities and their role in health and disease.16S rRNA sequencing is a key methodology in identifying these bacterial populations that has recently transitioned from use primarily in research to having increased utility in clinical settings. Objectives The objectives of this review are to: (a) describe 16S rRNA sequencing and its role in answering research questions important to nursing science; (b) provide an overview of the oral, lung and gut microbiomes and relevant research; and (c) identify future implications for microbiome research and 16S sequencing in translational nursing science. Discussion Sequencing using the 16S rRNA gene has revolutionized research and allowed scientists to easily and reliably characterize complex bacterial communities. This type of research has recently entered the clinical setting, one of the best examples involving the use of 16S sequencing to identify resistant pathogens, thereby improving the accuracy of bacterial identification in infection control. Clinical microbiota research and related requisite methods are of particular relevance to nurse scientists—individuals uniquely positioned to utilize these techniques in future studies in clinical settings. PMID:28252578

Setting global research priorities for developmental disabilities, including intellectual disabilities and autism

PubMed Central

Tomlinson, Mark; Yasamy, M. Taghi; Emerson, Eric; Officer, Alana; Richler, Diane; Saxena, Shekhar

2015-01-01

Objectives The prevalence of intellectual disabilities (ID) has been estimated at 10.4/1000 worldwide with higher rates among children and adolescents in lower income countries. The objective of this paper is to address research priorities for development disabilities, notably intellectual disabilities and autism, at the global level and to propose the more rational use of scarce funds in addressing this under-investigated area. Methods An expert group was identified and invited to systematically list and score research questions. They applied the priority setting methodology of the Child Health and Nutrition Research Initiative (CHNRI) to generate research questions and to evaluate them using a set of five criteria: answerability, feasibility, applicability and impact, support within the context and equity. Findings The results of this process clearly indicated that the important priorities for future research related to the need for effective and efficient approaches to early intervention, empowerment of families supporting a person with developmental disability and to address preventable causes of poor health in people with ID and autism. Conclusions For the public health and other systems to become more effective in delivering appropriate support to persons with developmental disabilities, greater (and more targeted) investment in research is required to produce evidence of what works consistent with international human rights standards. PMID:24397279

Pathway Distiller - multisource biological pathway consolidation.

PubMed

Doderer, Mark S; Anguiano, Zachry; Suresh, Uthra; Dashnamoorthy, Ravi; Bishop, Alexander J R; Chen, Yidong

2012-01-01

One method to understand and evaluate an experiment that produces a large set of genes, such as a gene expression microarray analysis, is to identify overrepresentation or enrichment for biological pathways. Because pathways are able to functionally describe the set of genes, much effort has been made to collect curated biological pathways into publicly accessible databases. When combining disparate databases, highly related or redundant pathways exist, making their consolidation into pathway concepts essential. This will facilitate unbiased, comprehensive yet streamlined analysis of experiments that result in large gene sets. After gene set enrichment finds representative pathways for large gene sets, pathways are consolidated into representative pathway concepts. Three complementary, but different methods of pathway consolidation are explored. Enrichment Consolidation combines the set of the pathways enriched for the signature gene list through iterative combining of enriched pathways with other pathways with similar signature gene sets; Weighted Consolidation utilizes a Protein-Protein Interaction network based gene-weighting approach that finds clusters of both enriched and non-enriched pathways limited to the experiments' resultant gene list; and finally the de novo Consolidation method uses several measurements of pathway similarity, that finds static pathway clusters independent of any given experiment. We demonstrate that the three consolidation methods provide unified yet different functional insights of a resultant gene set derived from a genome-wide profiling experiment. Results from the methods are presented, demonstrating their applications in biological studies and comparing with a pathway web-based framework that also combines several pathway databases. Additionally a web-based consolidation framework that encompasses all three methods discussed in this paper, Pathway Distiller (http://cbbiweb.uthscsa.edu/PathwayDistiller), is established to allow researchers access to the methods and example microarray data described in this manuscript, and the ability to analyze their own gene list by using our unique consolidation methods. By combining several pathway systems, implementing different, but complementary pathway consolidation methods, and providing a user-friendly web-accessible tool, we have enabled users the ability to extract functional explanations of their genome wide experiments.

Executive function treatment and intervention in schools.

PubMed

Otero, Tulio M; Barker, Lauren A; Naglieri, Jack A

2014-01-01

This selective review article examines treatment and intervention strategies for executive function (EF) deficits within the school environment. We begin by providing a broad definition of EF. We then examine the scope of EF deficits within the school setting and identify profiles of special populations of students who present with such deficits. A focus is placed on the developmental trajectory that both EF and the frontal lobes follow and how this drives the selection and effectiveness of treatments and interventions at particular "critical periods" throughout a child's academic career. Direct and indirect school-based diagnostic assessment methods to identify EF deficits in students will be briefly reviewed. Against that background, various treatment methods and intervention strategies to remediate both cognitive and affective EF deficits within the confines of the school setting will be presented. Individual and group intervention strategies will be presented as will their current acceptance within the scientific community and applicability to the educational arena. The importance of incorporating school-based neuropsychological assessment methods that aid in the differential diagnosis of academic and behavioral difficulties directly related to EF will also be discussed, as the accurate identification of these impairments is necessary to facilitate data-based decision making when selecting the most appropriate interventions following a developmental model in educational settings. Topics addressing EF treatment modalities and research-based interventions for clinical and school-based practitioners to consider within educational settings will also be presented as suggestions for future research with pediatric populations.

Are mind wandering rates an artifact of the probe-caught method? Using self-caught mind wandering in the classroom to test, and reject, this possibility.

PubMed

Varao-Sousa, Trish L; Kingstone, Alan

2018-06-26

Mind wandering (MW) reports often rely on individuals responding to specific external thought probes. Researchers have used this probe-caught method almost exclusively, due to its reliability across a wide range of testing situations. However, it remains an open question whether the probe-caught MW rates in more complex settings converge with those for simpler tasks, because of the rather artificial and controlled nature of the probe-caught methodology itself, which is shared across the different settings. To address this issue, we measured MW in a real-world lecture, during which students indicated whether they were mind wandering by simply catching themselves (as one would normally do in real life) or by catching themselves and responding to thought probes. Across three separate lectures, self-caught MW reports were stable and unaffected by the inclusion of MW probes. That the probe rates were similar to those found in prior classroom research and did not affect the self-caught MW rates strongly suggests that the past consistency of probe-caught MW rates across a range of different settings is not an artifact of the thought-probe method. Our study also indicates that the self-caught MW methodology is a reliable way to acquire MW data. The extension of measurement techniques to include students' self-caught reports provides valuable information about how to successfully and naturalistically monitor MW in lecture settings, outside the laboratory.

The Second Life Researcher Toolkit - An Exploration of Inworld Tools, Methods and Approaches for Researching Educational Projects in Second Life

NASA Astrophysics Data System (ADS)

Moschini, Elena

Academics are beginning to explore the educational potential of Second LifeTM (SL) by setting up inworld educational activities and projects. Given the relative novelty of the use of virtual world environments in higher education many such projects are still at pilot stage. However the initial pilot and experimentation stage will have to be followed by a rigorous evaluation process as for more traditional teaching projects. The chapter addresses issues about SL research tools and research methods. It introduces a "researcher toolkit" that includes: the various stages in the evaluation of SL educational projects and the theoretical framework that can inform such projects; an outline of the inworld tools that can be utilised or customised for academic research purposes; a review of methods for collecting feedback from participants and of the main ethical issues involved in researching virtual world environments; a discussion on the technical skills required to operate a research project in SL. The chapter also offers an indication of the inworld opportunities for the dissemination of SL research findings.

Advancing Pre-Health Humanities as Intensive Research Practice: Principles and Recommendations from a Cross-Divisional Baccalaureate Setting.

PubMed

Singer, Sarah Ann; Weed, Kym; Edwell, Jennifer; Jack, Jordynn; Thrailkill, Jane F

2017-12-01

This essay argues that pre-health humanities programs should focus on intensive research practice for baccalaureate students and provides three guiding principles for implementing it. Although the interdisciplinary nature of health humanities permits baccalaureate students to use research methods from the natural sciences, social sciences, and humanities, pre-health humanities coursework tends to force students to adopt only one of many disciplinary identities. Alternatively, an intensive research approach invites students to critically select and combine methods from multiple (and seemingly opposing) disciplines to ask and answer questions about health problems more innovatively. Using the authors' experiences with implementing health humanities baccalaureate research initiatives at The University of North Carolina at Chapel Hill, the authors contend that pre-health humanities programs should teach and study multiple disciplinary research methods and their values; examine how health humanities research might transfer across disciplines; and focus on mentoring opportunities for funding, presenting, and publishing research. These recommendations have the potential to create unprecedented research experiences for baccalaureate students as they prepare to enter careers within and beyond the allied health professions.

Psychology is not primarily Empirical Science: A Comparison of Cultures in the Lexical Hypothesis Tradition as a Failure of Introspection.

PubMed

Linkov, Václav

2017-06-01

A large part of psychology has become an empirical science that assumes that there might exist one set of research methods suitable for psychological research in all human cultures. Research questions, methods, and theories formulated from one cultural perspective are not thoroughly introspectively examined when being used in another cultural environment. This leads to research that answers questions that are not meaningful in such environments. Research coming from the lexical hypothesis tradition is given as an example. The original research in English language decided that the lexicon was enough to represent language structures for the purpose of examining how language reflects personality; however, some languages might use specific grammatical structures to reflect personality, so the lexicon is not enough to adequately represent these languages. Despite this, researchers still follow the research method developed for the English language. The Czech and Korean languages are examples of this approach. A solution to this problem is the thorough use of introspection during the formulation of research questions.

Building research infrastructure in community health centers: a Community Health Applied Research Network (CHARN) report.

PubMed

Likumahuwa, Sonja; Song, Hui; Singal, Robbie; Weir, Rosy Chang; Crane, Heidi; Muench, John; Sim, Shao-Chee; DeVoe, Jennifer E

2013-01-01

This article introduces the Community Health Applied Research Network (CHARN), a practice-based research network of community health centers (CHCs). Established by the Health Resources and Services Administration in 2010, CHARN is a network of 4 community research nodes, each with multiple affiliated CHCs and an academic center. The four nodes (18 individual CHCs and 4 academic partners in 9 states) are supported by a data coordinating center. Here we provide case studies detailing how CHARN is building research infrastructure and capacity in CHCs, with a particular focus on how community practice-academic partnerships were facilitated by the CHARN structure. The examples provided by the CHARN nodes include many of the building blocks of research capacity: communication capacity and "matchmaking" between providers and researchers; technology transfer; research methods tailored to community practice settings; and community institutional review board infrastructure to enable community oversight. We draw lessons learned from these case studies that we hope will serve as examples for other networks, with special relevance for community-based networks seeking to build research infrastructure in primary care settings.

Building Research Infrastructure in Community Health Centers: A Community Health Applied Research Network (CHARN) Report

PubMed Central

Likumahuwa, Sonja; Song, Hui; Singal, Robbie; Weir, Rosy Chang; Crane, Heidi; Muench, John; Sim, Shao-Chee; DeVoe, Jennifer E.

2015-01-01

This article introduces the Community Health Applied Research Network (CHARN), a practice-based research network of community health centers (CHCs). Established by the Health Resources and Services Administration in 2010, CHARN is a network of 4 community research nodes, each with multiple affiliated CHCs and an academic center. The four nodes (18 individual CHCs and 4 academic partners in 9 states) are supported by a data coordinating center. Here we provide case studies detailing how CHARN is building research infrastructure and capacity in CHCs, with a particular focus on how community practice-academic partnerships were facilitated by the CHARN structure. The examples provided by the CHARN nodes include many of the building blocks of research capacity: communication capacity and “matchmaking” between providers and researchers; technology transfer; research methods tailored to community practice settings; and community institutional review board infrastructure to enable community oversight. We draw lessons learned from these case studies that we hope will serve as examples for other networks, with special relevance for community-based networks seeking to build research infrastructure in primary care settings. PMID:24004710

Chapter 1: Introduction. The Uniform Methods Project: Methods for Determining Energy-Efficiency Savings for Specific Measures

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

Li, Michael; Haeri, Hossein; Reynolds, Arlis

This chapter provides a set of model protocols for determining energy and demand savings that result from specific energy efficiency measures implemented through state and utility efficiency programs. The methods described here are approaches that are or are among the most commonly used and accepted in the energy efficiency industry for certain measures or programs. As such, they draw from the existing body of research and best practices for energy efficiency program evaluation, measurement, and verification (EM&V). These protocols were developed as part of the Uniform Methods Project (UMP), funded by the U.S. Department of Energy (DOE). The principal objectivemore » for the project was to establish easy-to-follow protocols based on commonly accepted methods for a core set of widely deployed energy efficiency measures.« less

A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets.

PubMed

Li, Der-Chiang; Liu, Chiao-Wen; Hu, Susan C

2011-05-01

Medical data sets are usually small and have very high dimensionality. Too many attributes will make the analysis less efficient and will not necessarily increase accuracy, while too few data will decrease the modeling stability. Consequently, the main objective of this study is to extract the optimal subset of features to increase analytical performance when the data set is small. This paper proposes a fuzzy-based non-linear transformation method to extend classification related information from the original data attribute values for a small data set. Based on the new transformed data set, this study applies principal component analysis (PCA) to extract the optimal subset of features. Finally, we use the transformed data with these optimal features as the input data for a learning tool, a support vector machine (SVM). Six medical data sets: Pima Indians' diabetes, Wisconsin diagnostic breast cancer, Parkinson disease, echocardiogram, BUPA liver disorders dataset, and bladder cancer cases in Taiwan, are employed to illustrate the approach presented in this paper. This research uses the t-test to evaluate the classification accuracy for a single data set; and uses the Friedman test to show the proposed method is better than other methods over the multiple data sets. The experiment results indicate that the proposed method has better classification performance than either PCA or kernel principal component analysis (KPCA) when the data set is small, and suggest creating new purpose-related information to improve the analysis performance. This paper has shown that feature extraction is important as a function of feature selection for efficient data analysis. When the data set is small, using the fuzzy-based transformation method presented in this work to increase the information available produces better results than the PCA and KPCA approaches. Copyright © 2011 Elsevier B.V. All rights reserved.

Research in disaster settings: a systematic qualitative review of ethical guidelines.

PubMed

Mezinska, Signe; Kakuk, Péter; Mijaljica, Goran; Waligóra, Marcin; O'Mathúna, Dónal P

2016-10-21

Conducting research during or in the aftermath of disasters poses many specific practical and ethical challenges. This is particularly the case with research involving human subjects. The extraordinary circumstances of research conducted in disaster settings require appropriate regulations to ensure the protection of human participants. The goal of this study is to systematically and qualitatively review the existing ethical guidelines for disaster research by using the constant comparative method (CCM). We performed a systematic qualitative review of disaster research ethics guidelines to collect and compare existing regulations. Guidelines were identified by a three-tiered search strategy: 1) searching databases (PubMed and Google Scholar), 2) an Internet search (Google), and 3) a search of the references in the included documents from the first two searches. We used the constant comparative method (CCM) for analysis of included guidelines. Fourteen full text guidelines were included for analysis. The included guidelines covered the period 2000-2014. Qualitative analysis of the included guidelines revealed two core themes: vulnerability and research ethics committee review. Within each of the two core themes, various categories and subcategories were identified. Some concepts and terms identified in analyzed guidelines are used in an inconsistent manner and applied in different contexts. Conceptual clarity is needed in this area as well as empirical evidence to support the statements and requirements included in analyzed guidelines.

Generating quality word sense disambiguation test sets based on MeSH indexing.

PubMed

Fan, Jung-Wei; Friedman, Carol

2009-11-14

Word sense disambiguation (WSD) determines the correct meaning of a word that has more than one meaning, and is a critical step in biomedical natural language processing, as interpretation of information in text can be correct only if the meanings of their component terms are correctly identified first. Quality evaluation sets are important to WSD because they can be used as representative samples for developing automatic programs and as referees for comparing different WSD programs. To help create quality test sets for WSD, we developed a MeSH-based automatic sense-tagging method that preferentially annotates terms being topical of the text. Preliminary results were promising and revealed important issues to be addressed in biomedical WSD research. We also suggest that, by cross-validating with 2 or 3 annotators, the method should be able to efficiently generate quality WSD test sets. Online supplement is available at: http://www.dbmi.columbia.edu/~juf7002/AMIA09.

The FORBIO Climate data set for climate analyses

NASA Astrophysics Data System (ADS)

Delvaux, C.; Journée, M.; Bertrand, C.

2015-06-01

In the framework of the interdisciplinary FORBIO Climate research project, the Royal Meteorological Institute of Belgium is in charge of providing high resolution gridded past climate data (i.e. temperature and precipitation). This climate data set will be linked to the measurements on seedlings, saplings and mature trees to assess the effects of climate variation on tree performance. This paper explains how the gridded daily temperature (minimum and maximum) data set was generated from a consistent station network between 1980 and 2013. After station selection, data quality control procedures were developed and applied to the station records to ensure that only valid measurements will be involved in the gridding process. Thereafter, the set of unevenly distributed validated temperature data was interpolated on a 4 km × 4 km regular grid over Belgium. The performance of different interpolation methods has been assessed. The method of kriging with external drift using correlation between temperature and altitude gave the most relevant results.

The citation merit of scientific publications.

PubMed

Crespo, Juan A; Ortuño-Ortín, Ignacio; Ruiz-Castillo, Javier

2012-01-01

We propose a new method to assess the merit of any set of scientific papers in a given field based on the citations they receive. Given a field and a citation impact indicator, such as the mean citation or the [Formula: see text]-index, the merit of a given set of [Formula: see text] articles is identified with the probability that a randomly drawn set of [Formula: see text] articles from a given pool of articles in that field has a lower citation impact according to the indicator in question. The method allows for comparisons between sets of articles of different sizes and fields. Using a dataset acquired from Thomson Scientific that contains the articles published in the periodical literature in the period 1998-2007, we show that the novel approach yields rankings of research units different from those obtained by a direct application of the mean citation or the [Formula: see text]-index.

Nurse practitioner preferences for distance education methods related to learning style, course content, and achievement.

PubMed

Andrusyszyn, M A; Cragg, C E; Humbert, J

2001-04-01

The relationships among multiple distance delivery methods, preferred learning style, content, and achievement was sought for primary care nurse practitioner students. A researcher-designed questionnaire was completed by 86 (71%) participants, while 6 engaged in follow-up interviews. The results of the study included: participants preferred learning by "considering the big picture"; "setting own learning plans"; and "focusing on concrete examples." Several positive associations were found: learning on own with learning by reading, and setting own learning plans; small group with learning through discussion; large group with learning new things through hearing and with having learning plans set by others. The most preferred method was print-based material and the least preferred method was audio tape. The most suited method for content included video teleconferencing for counseling, political action, and transcultural issues; and video tape for physical assessment. Convenience, self-direction, and timing of learning were more important than delivery method or learning style. Preferred order of learning was reading, discussing, observing, doing, and reflecting. Recommended considerations when designing distance courses include a mix of delivery methods, specific content, outcomes, learner characteristics, and state of technology.

Evaluation of Alternative Altitude Scaling Methods for Thermal Ice Protection System in NASA Icing Research Tunnel

NASA Technical Reports Server (NTRS)

Lee, Sam; Addy, Harold; Broeren, Andy P.; Orchard, David M.

2017-01-01

A test was conducted at NASA Icing Research Tunnel to evaluate altitude scaling methods for thermal ice protection system. Two scaling methods based on Weber number were compared against a method based on the Reynolds number. The results generally agreed with the previous set of tests conducted in NRCC Altitude Icing Wind Tunnel. The Weber number based scaling methods resulted in smaller runback ice mass than the Reynolds number based scaling method. The ice accretions from the Weber number based scaling method also formed farther upstream. However there were large differences in the accreted ice mass between the two Weber number based scaling methods. The difference became greater when the speed was increased. This indicated that there may be some Reynolds number effects that isnt fully accounted for and warrants further study.

Wind and solar resource data sets: Wind and solar resource data sets

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

Clifton, Andrew; Hodge, Bri-Mathias; Draxl, Caroline

The range of resource data sets spans from static cartography showing the mean annual wind speed or solar irradiance across a region to high temporal and high spatial resolution products that provide detailed information at a potential wind or solar energy facility. These data sets are used to support continental-scale, national, or regional renewable energy development; facilitate prospecting by developers; and enable grid integration studies. This review first provides an introduction to the wind and solar resource data sets, then provides an overview of the common methods used for their creation and validation. A brief history of wind and solarmore » resource data sets is then presented, followed by areas for future research.« less

A computational approach to compare regression modelling strategies in prediction research.

PubMed

Pajouheshnia, Romin; Pestman, Wiebe R; Teerenstra, Steven; Groenwold, Rolf H H

2016-08-25

It is often unclear which approach to fit, assess and adjust a model will yield the most accurate prediction model. We present an extension of an approach for comparing modelling strategies in linear regression to the setting of logistic regression and demonstrate its application in clinical prediction research. A framework for comparing logistic regression modelling strategies by their likelihoods was formulated using a wrapper approach. Five different strategies for modelling, including simple shrinkage methods, were compared in four empirical data sets to illustrate the concept of a priori strategy comparison. Simulations were performed in both randomly generated data and empirical data to investigate the influence of data characteristics on strategy performance. We applied the comparison framework in a case study setting. Optimal strategies were selected based on the results of a priori comparisons in a clinical data set and the performance of models built according to each strategy was assessed using the Brier score and calibration plots. The performance of modelling strategies was highly dependent on the characteristics of the development data in both linear and logistic regression settings. A priori comparisons in four empirical data sets found that no strategy consistently outperformed the others. The percentage of times that a model adjustment strategy outperformed a logistic model ranged from 3.9 to 94.9 %, depending on the strategy and data set. However, in our case study setting the a priori selection of optimal methods did not result in detectable improvement in model performance when assessed in an external data set. The performance of prediction modelling strategies is a data-dependent process and can be highly variable between data sets within the same clinical domain. A priori strategy comparison can be used to determine an optimal logistic regression modelling strategy for a given data set before selecting a final modelling approach.

Online Reading Comprehension among Seventh Grade Students with High Incidence Disabilities in Inclusive Settings: A Mixed Methods Study

ERIC Educational Resources Information Center

Robbins, Katherine R.

2010-01-01

Because research exploring how students with disabilities read and comprehend on the Internet is scarce, a mixed methods study was implemented to determine if Internet Reciprocal Teaching (IRT) is an effective intervention for improving online reading comprehension among seventh grade students with high-incidence disabilities in inclusive…

Older Adults' Perspectives on Home Exercise after Falls Rehabilitation: Understanding the Importance of Promoting Healthy, Active Ageing

ERIC Educational Resources Information Center

Hawley, Helen

2009-01-01

Objective To explore what might encourage older people to exercise at home after falls rehabilitation. Design: Qualitative research methods were used based on a grounded theory approach, to provide insights into older adults' experiences following a fall, of both rehabilitation and home exercise. Setting: Community dwellings. Method: Nine…

Attitudes toward Using Social Networking Sites in Educational Settings with Underperforming Latino Youth: A Mixed Methods Study

ERIC Educational Resources Information Center

Howard, Keith E.; Curwen, Margie Sauceda; Howard, Nicol R.; Colón-Muñiz, Anaida

2015-01-01

The researchers examined the online social networking attitudes of underperforming Latino high school students in an alternative education program that uses technology as the prime venue for learning. A sequential explanatory mixed methods study was used to cross-check multiple sources of data explaining students' levels of comfort with utilizing…

Methodology for Planning Technical Education: With a Case Study of Polytechnics in Bangladesh.

ERIC Educational Resources Information Center

Ritzen, Jozef M.; Balderston, Judith B.

A product of research first begun by one of the authors in Bangladesh, this book develops a comprehensive set of methods for planning technical education. Wherever possible, the authors draw on existing tools, fitting them to the specific context of technical education. When faced with planning problems for which existing methods are ill suited…

Reflecting on the Think-Aloud Method for Evaluating E-Learning

ERIC Educational Resources Information Center

Cotton, Deborah; Gresty, Karen

2006-01-01

E-learning is increasingly being used in higher education settings, yet research examining how students use e-resources is frequently limited. Some previous studies have used the think-aloud method (an approach with origins in cognitive psychology) as an alternative to the more usual questionnaire or focus groups, but there is little discussion in…

A guide to multi-objective optimization for ecological problems with an application to cackling goose management

USGS Publications Warehouse

Williams, Perry J.; Kendall, William L.

2017-01-01

Choices in ecological research and management are the result of balancing multiple, often competing, objectives. Multi-objective optimization (MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.A large class of methods for solving MOO problems can be separated into two strategies: modelling preferences pre-optimization (the a priori strategy), or modelling preferences post-optimization (the a posteriori strategy). The a priori strategy requires describing preferences among objectives without knowledge of how preferences affect the resulting decision. In the a posteriori strategy, the decision maker simultaneously considers a set of solutions (the Pareto optimal set) and makes a choice based on the trade-offs observed in the set. We describe several methods for modelling preferences pre-optimization, including: the bounded objective function method, the lexicographic method, and the weighted-sum method. We discuss modelling preferences post-optimization through examination of the Pareto optimal set. We applied each MOO strategy to the natural resource management problem of selecting a population target for cackling goose (Branta hutchinsii minima) abundance. Cackling geese provide food security to Native Alaskan subsistence hunters in the goose's nesting area, but depredate crops on private agricultural fields in wintering areas. We developed objective functions to represent the competing objectives related to the cackling goose population target and identified an optimal solution first using the a priori strategy, and then by examining trade-offs in the Pareto set using the a posteriori strategy. We used four approaches for selecting a final solution within the a posteriori strategy; the most common optimal solution, the most robust optimal solution, and two solutions based on maximizing a restricted portion of the Pareto set. We discuss MOO with respect to natural resource management, but MOO is sufficiently general to cover any ecological problem that contains multiple competing objectives that can be quantified using objective functions.

Weighted mining of massive collections of [Formula: see text]-values by convex optimization.

PubMed

Dobriban, Edgar

2018-06-01

Researchers in data-rich disciplines-think of computational genomics and observational cosmology-often wish to mine large bodies of [Formula: see text]-values looking for significant effects, while controlling the false discovery rate or family-wise error rate. Increasingly, researchers also wish to prioritize certain hypotheses, for example, those thought to have larger effect sizes, by upweighting, and to impose constraints on the underlying mining, such as monotonicity along a certain sequence. We introduce Princessp , a principled method for performing weighted multiple testing by constrained convex optimization. Our method elegantly allows one to prioritize certain hypotheses through upweighting and to discount others through downweighting, while constraining the underlying weights involved in the mining process. When the [Formula: see text]-values derive from monotone likelihood ratio families such as the Gaussian means model, the new method allows exact solution of an important optimal weighting problem previously thought to be non-convex and computationally infeasible. Our method scales to massive data set sizes. We illustrate the applications of Princessp on a series of standard genomics data sets and offer comparisons with several previous 'standard' methods. Princessp offers both ease of operation and the ability to scale to extremely large problem sizes. The method is available as open-source software from github.com/dobriban/pvalue_weighting_matlab (accessed 11 October 2017).

Challenges and Strategies for Research in Prisons

PubMed Central

Apa, Zoltán L.; Bai, Ruo Yu; Mukherejee, Dhritiman V.; Herzig, Carolyn T. A.; Koenigsmann, Carl; Lowy, Franklin D.; Larson, Elaine L.

2013-01-01

In this article, we discuss some of the challenges encountered while conducting research in two maximum security prisons and approaches we found helpful to facilitate the research process through the development of collaborative relationships, the establishment of prison contacts, and the implementation of rigorous research methods. As a result of our experiences, we have been successful at maintaining a high rate of inmate participation (>80%) and a well-functioning multidisciplinary team. The approaches described may be useful to other investigators planning to conduct research in a challenging setting such as prisons. PMID:22924569

Computational gestalts and perception thresholds.

PubMed

Desolneux, Agnès; Moisan, Lionel; Morel, Jean-Michel

2003-01-01

In 1923, Max Wertheimer proposed a research programme and method in visual perception. He conjectured the existence of a small set of geometric grouping laws governing the perceptual synthesis of phenomenal objects, or "gestalt" from the atomic retina input. In this paper, we review this set of geometric grouping laws, using the works of Metzger, Kanizsa and their schools. In continuation, we explain why the Gestalt theory research programme can be translated into a Computer Vision programme. This translation is not straightforward, since Gestalt theory never addressed two fundamental matters: image sampling and image information measurements. Using these advances, we shall show that gestalt grouping laws can be translated into quantitative laws allowing the automatic computation of gestalts in digital images. From the psychophysical viewpoint, a main issue is raised: the computer vision gestalt detection methods deliver predictable perception thresholds. Thus, we are set in a position where we can build artificial images and check whether some kind of agreement can be found between the computationally predicted thresholds and the psychophysical ones. We describe and discuss two preliminary sets of experiments, where we compared the gestalt detection performance of several subjects with the predictable detection curve. In our opinion, the results of this experimental comparison support the idea of a much more systematic interaction between computational predictions in Computer Vision and psychophysical experiments.

Mixed method evaluation of a community-based physical activity program using the RE-AIM framework: practical application in a real-world setting.

PubMed

Koorts, Harriet; Gillison, Fiona

2015-11-06

Communities are a pivotal setting in which to promote increases in child and adolescent physical activity behaviours. Interventions implemented in these settings require effective evaluation to facilitate translation of findings to wider settings. The aims of this paper are to i) present findings from a RE-AIM evaluation of a community-based physical activity program, and ii) review the methodological challenges faced when applying RE-AIM in practice. A single mixed-methods case study was conducted based on a concurrent triangulation design. Five sources of data were collected via interviews, questionnaires, archival records, documentation and field notes. Evidence was triangulated within RE-AIM to assess individual and organisational-level program outcomes. Inconsistent availability of data and a lack of robust reporting challenged assessment of all five dimensions. Reach, Implementation and setting-level Adoption were less successful, Effectiveness and Maintenance at an individual and organisational level were moderately successful. Only community-level Adoption was highly successful, reflecting the key program goal to provide community-wide participation in sport and physical activity. This research highlighted important methodological constraints associated with the use of RE-AIM in practice settings. Future evaluators wishing to use RE-AIM may benefit from a mixed-method triangulation approach to offset challenges with data availability and reliability.

Development of a new model to engage patients and clinicians in setting research priorities.

PubMed

Pollock, Alex; St George, Bridget; Fenton, Mark; Crowe, Sally; Firkins, Lester

2014-01-01

Equitable involvement of patients and clinicians in setting research and funding priorities is ethically desirable and can improve the quality, relevance and implementation of research. Survey methods used in previous priority setting projects to gather treatment uncertainties may not be sufficient to facilitate responses from patients and their lay carers for some health care topics. We aimed to develop a new model to engage patients and clinicians in setting research priorities relating to life after stroke, and to explore the use of this model within a James Lind Alliance (JLA) priority setting project. We developed a model to facilitate involvement through targeted engagement and assisted involvement (FREE TEA model). We implemented both standard surveys and the FREE TEA model to gather research priorities (treatment uncertainties) from people affected by stroke living in Scotland. We explored and configured the number of treatment uncertainties elicited from different groups by the two approaches. We gathered 516 treatment uncertainties from stroke survivors, carers and health professionals. We achieved approximately equal numbers of contributions; 281 (54%) from stroke survivors/carers; 235 (46%) from health professionals. For stroke survivors and carers, 98 (35%) treatment uncertainties were elicited from the standard survey and 183 (65%) at FREE TEA face-to-face visits. This contrasted with the health professionals for whom 198 (84%) were elicited from the standard survey and only 37 (16%) from FREE TEA visits. The FREE TEA model has implications for future priority setting projects and user-involvement relating to populations of people with complex health needs. Our results imply that reliance on standard surveys may result in poor and unrepresentative involvement of patients, thereby favouring the views of health professionals.

First Grade Math Skills Set Foundation for Later Math Ability

MedlinePlus

... cognitive skills as memory, attention span, and general intelligence. The researchers found that by seventh grade, children ... between the two groups were not related to intelligence, language skills or the method students used to ...

Evaluation results for intelligent transportation systems

DOT National Transportation Integrated Search

2000-11-09

This presentation covers the methods of evaluation set out for EC-funded ITS research and demonstration projects, known as the CONVERGE validation quality process and the lessons learned from that approach. The new approach to appraisal, which is bei...

Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector Machine.

PubMed

Li, Hang; Wang, Maolin; Gong, Ya-Nan; Yan, Aixia

2016-01-01

β-secretase (BACE1) is an aspartyl protease, which is considered as a novel vital target in Alzheimer`s disease therapy. We collected a data set of 294 BACE1 inhibitors, and built six classification models to discriminate active and weakly active inhibitors using Kohonen's Self-Organizing Map (SOM) method and Support Vector Machine (SVM) method. Each molecular descriptor was calculated using the program ADRIANA.Code. We adopted two different methods: random method and Self-Organizing Map method, for training/test set split. The descriptors were selected by F-score and stepwise linear regression analysis. The best SVM model Model2C has a good prediction performance on test set with prediction accuracy, sensitivity (SE), specificity (SP) and Matthews correlation coefficient (MCC) of 89.02%, 90%, 88%, 0.78, respectively. Model 1A is the best SOM model, whose accuracy and MCC of the test set were 94.57% and 0.98, respectively. The lone pair electronegativity and polarizability related descriptors importantly contributed to bioactivity of BACE1 inhibitor. The Extended-Connectivity Finger-Prints_4 (ECFP_4) analysis found some vitally key substructural features, which could be helpful for further drug design research. The SOM and SVM models built in this study can be obtained from the authors by email or other contacts.

Consultation and participation with children in healthy schools: choice, conflict and context.

PubMed

Duckett, Paul; Kagan, Carolyn; Sixsmith, Judith

2010-09-01

In this paper we report on our use of a participatory research methodology to consult with children in the UK on how to improve pupil well-being in secondary schools, framed within the wider social policy context of healthy schools. We worked with children on the selection of our research methods and sought to voice the views of children to a local education authority to improve the design of school environments. The consultation process ultimately failed not because the children were unforthcoming with their views on either methods or on well-being in schools, but because of difficulties in how their views were received by adults. We show how the socio-economic, cultural and political context in which those difficulties were set might have led to the eventual break down of the consultation process, and we draw out a number of possible implications for consultative and participatory work with children in school settings.

A review on the multivariate statistical methods for dimensional reduction studies

NASA Astrophysics Data System (ADS)

Aik, Lim Eng; Kiang, Lam Chee; Mohamed, Zulkifley Bin; Hong, Tan Wei

2017-05-01

In this research study we have discussed multivariate statistical methods for dimensional reduction, which has been done by various researchers. The reduction of dimensionality is valuable to accelerate algorithm progression, as well as really may offer assistance with the last grouping/clustering precision. A lot of boisterous or even flawed info information regularly prompts a not exactly alluring algorithm progression. Expelling un-useful or dis-instructive information segments may for sure help the algorithm discover more broad grouping locales and principles and generally speaking accomplish better exhibitions on new data set.

Development and pilot test of a process to identify research needs from a systematic review.

PubMed

Saldanha, Ian J; Wilson, Lisa M; Bennett, Wendy L; Nicholson, Wanda K; Robinson, Karen A

2013-05-01

To ensure appropriate allocation of research funds, we need methods for identifying high-priority research needs. We developed and pilot tested a process to identify needs for primary clinical research using a systematic review in gestational diabetes mellitus. We conducted eight steps: abstract research gaps from a systematic review using the Population, Intervention, Comparison, Outcomes, and Settings (PICOS) framework; solicit feedback from the review authors; translate gaps into researchable questions using the PICOS framework; solicit feedback from multidisciplinary stakeholders at our institution; establish consensus among multidisciplinary external stakeholders on the importance of the research questions using the Delphi method; prioritize outcomes; develop conceptual models to highlight research needs; and evaluate the process. We identified 19 research questions. During the Delphi method, external stakeholders established consensus for 16 of these 19 questions (15 with "high" and 1 with "medium" clinical benefit/importance). We pilot tested an eight-step process to identify clinically important research needs. Before wider application of this process, it should be tested using systematic reviews of other diseases. Further evaluation should include assessment of the usefulness of the research needs generated using this process for primary researchers and funders. Copyright © 2013 Elsevier Inc. All rights reserved.

A complementary graphical method for reducing and analyzing large data sets. Case studies demonstrating thresholds setting and selection.

PubMed

Jing, X; Cimino, J J

2014-01-01

Graphical displays can make data more understandable; however, large graphs can challenge human comprehension. We have previously described a filtering method to provide high-level summary views of large data sets. In this paper we demonstrate our method for setting and selecting thresholds to limit graph size while retaining important information by applying it to large single and paired data sets, taken from patient and bibliographic databases. Four case studies are used to illustrate our method. The data are either patient discharge diagnoses (coded using the International Classification of Diseases, Clinical Modifications [ICD9-CM]) or Medline citations (coded using the Medical Subject Headings [MeSH]). We use combinations of different thresholds to obtain filtered graphs for detailed analysis. The thresholds setting and selection, such as thresholds for node counts, class counts, ratio values, p values (for diff data sets), and percentiles of selected class count thresholds, are demonstrated with details in case studies. The main steps include: data preparation, data manipulation, computation, and threshold selection and visualization. We also describe the data models for different types of thresholds and the considerations for thresholds selection. The filtered graphs are 1%-3% of the size of the original graphs. For our case studies, the graphs provide 1) the most heavily used ICD9-CM codes, 2) the codes with most patients in a research hospital in 2011, 3) a profile of publications on "heavily represented topics" in MEDLINE in 2011, and 4) validated knowledge about adverse effects of the medication of rosiglitazone and new interesting areas in the ICD9-CM hierarchy associated with patients taking the medication of pioglitazone. Our filtering method reduces large graphs to a manageable size by removing relatively unimportant nodes. The graphical method provides summary views based on computation of usage frequency and semantic context of hierarchical terminology. The method is applicable to large data sets (such as a hundred thousand records or more) and can be used to generate new hypotheses from data sets coded with hierarchical terminologies.

Efficacy of Webinar Training for Continuing Professional Education: Applications for School Personnel in K-12 Settings

ERIC Educational Resources Information Center

Covington, Julie Anne

2012-01-01

The purpose of the researcher was to evaluate the effectiveness of webinar training for K-12 school personnel in childhood obesity prevention tools and resources provided by the North Carolina Prevention Partners (NCPP). A mixed method sequential research design was used to evaluate the training across the first three levels of the Kirkpatrick…