Space science. Bumpy ride for data-driven NASA chief.
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News↗
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Results for “Data Science”
Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.
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Developing evidence-based clinical practice guidelines: lessons learned by the US Preventive Services Task Force.
The US Preventive Services Task Force is an expert panel established by the federal government in 1984 to develop evidence-based practice guidelines on screening tests and other preventive services. Its recommendations are published elsewhere. This article explores the lessons learned in the process of developing and disseminating the recommendations. Topics include project organization (analytic philosophy, project sponsorship, panel composition, topic selection); the review of evidence (selecting outcome measures for judging effectiveness, constructing "causal pathways," searching the literature, rating the evidence, synthesizing the results); crafting recommendations (extrapolation, assessing magnitude, balancing risks and benefits, addressing costs, dealing with insufficient data, separating science from policy); peer review; collaboration with other groups; evaluating impact on clinicians' knowledge, attitudes, and behavior; updating recommendations; and defining a research agenda. The lessons learned suggest potential refinements in the future work of the task force and other groups engaged in guideline development.
Diffusion of Innovation↗
Predictors of success in undergraduate human physiology.
This study tested the hypothesis that measurable attributes in students' backgrounds are related to their successful completion of an undergraduate human physiology course. Demographic, general academic performance, and science achievement data were obtained from student records for students enrolled during the 1995-1996 academic year, and additional demographic data were obtained from students enrolled during the 1996-1998 academic years. A hierarchical logistic regression analysis explored the relationship fo these variables to the percentage of students passing the human physiology course. Predicted passing versus failing showed a sensitivity of 85.5% and specificity of 69.7%. Two independent validations of the logistical regression equation correctly predicted the performance of subsequent groups of students 75.9% and 77.6% of the time.
Adult↗
H.M. revisited: relations between language comprehension, memory, and the hippocampal system.
Three studies tested the claim that H.M. exhibits a "pure memory deficit" that has left his ability to comprehend language unimpaired relative to memory-normal controls. In Study 1, H.M. and memory-normal controls of comparable intelligence, education, and age indicated whether sentences were ambiguous or unambiguous, and H. M. detected ambiguities significantly less often than controls. In Study 2, participants identified the two meanings of visually presented sentences that they knew were ambiguous, and relative to controls, H.M. rarely discovered the ambiguities without help and had difficulty understanding the first meanings, experimenter requests, and his own output. Study 3 replicated these results and showed that they were not due to brain damage per se or to cohort effects: Unlike H.M., a patient with bilateral frontal lobe damage detected the ambiguities as readily as young and same-cohort older controls. These results bear on two general classes of theories in use within a wide range of neurosciences and cognitive sciences: The data favor "distributed-memory theories" that ascribe H.M.'s deficit to semantic-level binding processes that are inherent to both language comprehension and memory, over "stages-of-processing theories," where H.M.'s defective storage processes have no effect on language comprehension.
Adult↗
Preretirement planning of female registered nurses.
Knowledge of preretirement planning among women has not been a major focal point for researchers. The purpose of this study was to test a model for understanding preretirement planning among working women and to describe and explain preretirement health and financial plans. A multivariate method of analysis was used with a sample of 145 working female registered nurses, 40 years of age or older, from a major health sciences institution. Data were collected with a mailed questionnaire that measured knowledge, beliefs, and attitudes of women regarding health and financial preretirement planning. The results of this study indicated that formal and informal methods of planning for retirement were limited. Knowledge of health maintenance issues and economic issues were found to be helpful in making plans for the retirement years. This study identifies strengths and weaknesses in the preretirement planning process of working women and contributes to the expansion of knowledge to reduce problems during retirement.
Adult↗
Behavioral science foundations of the Rorschach test: research and clinical applications.
Never without its critics, the Rorschach Test continues to be widely used in clinical settings. The test continues to be criticized vigorously. Rorschach critics appear to fall into two broad groups: those leveling valid methodological concerns about the test s behavioral science foundations and method critics who appear to deny the validity of the test on strictly a priori or theoretical considerations. Many critics do not appear to be acquainted with the extensive Rorschach research literature. The current paper provides an overview of several domains of applied and laboratory Rorschach behavioral science, including statistical power analysis, interobserver agreement and interrater reliability, Rorschach assessment of thought disorder, and emerging research linking Rorschach variables with diagnostic criteria from the DSM-IV, as a means of educating both adherents and detractors alike concerning the test s scientific track record and applicability to clinical assessment.
Behavioral Sciences↗
Efficient application of Internet databases for new signal processing methods.
This paper highlights the ways in which Internet databases may be efficiently used to foster the application of progress in biomedical sciences via data sharing and new algorithms. Employing the Internet to accelerate the pace of interdisciplinary research has significant potential, yet as with all new technologies, the first applications often cause more disappointment than positive outcomes. We discuss examples of solutions to the basic issues: (1) finding the relevant datasets (in portals connected via the Inter-neuro infrastructure), (2) reading the particular format in which the data was stored (using the SignalML language for metadescription of time series), (3) choosing the right method for the data analysis (we provide a brief review of the methods used for the analysis of EEGs, and discuss two of them in detail: Directed Transfer Function and Matching Pursuit), and (4) sharing the software for chosen methods of analysis (via repositories such as the eeg.pl thematic portal).
Algorithms↗
Analysis of gene expression by microarrays: cell biologist's gold mine or minefield?
The development of DNA microarrays to study simultaneously the level of mRNA expressed from thousands of genes offers great promise to cell biologists. Microarrays can be used to gain detailed information about transcriptional changes involved in a specific pathway, potentially leading to the identification of novel components of the signalling system. They can also be used to obtain a fingerprint of the transcriptional status of the cell under a given condition, which may be useful for characterising the pathways used in response to novel stimuli. The use of microarrays will generate huge amounts of expression data, contributing to the transformation of biology from a data-poor to a data-rich science. Whether this leads to real advances in the understanding of cell biological problems will depend on the development of methodologies, both in experimental biology and in bioinformatics, that allow meaningful knowledge to be extracted from all this information.
Eukaryotic Cells↗
Scalable, open-access and multidisciplinary data integration pipeline for climate-sensitive diseases.
Climate-sensitive infectious diseases pose an important challenge for human, animal and environmental health and it has been estimated that over half of known human pathogenic diseases can be aggravated by climate change. While climatic and weather conditions are important drivers of transmission of vector-borne diseases, socio-economic, behavioural, and land-use factors as well as the interactions among them impact transmission dynamics. Analysis of drivers of climate-sensitive diseases require rapid integration of interdisciplinary data to be jointly analysed with epidemiological (including genomic and clinical) data. Current tools for the integration of multiple data sources are often limited to one data type or rely on proprietary data and software. To address this gap, we develop a scalable and open-access pipeline for the integration of multiple spatio-temporal datasets that requires only the declaration of the country and temporal range and resolution of the study. The tool is locally deployable and can easily be integrated into existing climate-disease-modelling applications. We demonstrate the utility of the tool for dengue modelling in Vietnam where epidemiological data are legally required to remain local. We include a pipeline for bias correction of climate data to enhance their quality for downstream modelling tasks. The Dengue Advanced Readiness Tools-Pipeline empowers users by simplifying complex download, correction, and aggregation steps, fostering data-driven discovery of relationships between infectious diseases and their drivers in space and time, and enhancing reproducibility in research. Additional modules and datasets can be added to the existing ones to make the pipeline extendable to use cases other than the ones presented here.
automated workflows↗
HIFF: health instruments file database.
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Behavioral Sciences↗
Management protocol for abacavir-related hypersensitivity reaction.
OBJECTIVE: To develop an abacavir hypersensitivity reaction management protocol for the University of Oklahoma Health Sciences Center. DATA SYNTHESIS: Conference abstracts, published literature, and manufacturer-provided materials were reviewed to define the syndrome and manifestations and to recommend steps to take when a patient develops abacavir-related reactions. RESULTS: Initial education, formalized contact and response mechanism, and intervention levels were incorporated into a protocol for clinicians. CONCLUSIONS: Abacavir, a newly approved agent for the treatment of HIV, has been associated with a fatal hypersensitivity reaction. Our protocol provides a mechanism to minimize progression of abacavir hypersensitivity reaction by providing a formalized management procedure.
Anti-HIV Agents↗
The biocurator: connecting and enhancing scientific data.
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Abstracting and Indexing↗
Contending with complexity: developing and using a scaled world in applied cognitive research.
Scaled worlds preserve certain functional relationships of a complex task environment while paring away others. The functional relationships preserved are defined by the questions of interest to the researcher. Different scaled worlds of the same task may preserve and pare away different functional relationships. In this paper we use the example of Ned to discuss the use of scaled worlds in applied cognitive research. Ned is based on a detailed cognitive task analysis of submarine approach officers as they attempt to localize an enemy submarine hiding in deep water. For Ned we attempted to preserve the functional relationships inherent in the approach officer's information environment while paring away other aspects of his task environment. Scaled worlds attempt to maintain the realism inherent in the preserved functional relationship while being tractable for the researcher and engaging to the participant.
Cognitive Science↗
Parent-based intervention strategies to reduce adolescent alcohol-impaired driving.
OBJECTIVE: To review selected issues to consider when designing parent-based interventions for reducing alcohol-impaired driving in adolescent populations and to present a theoretical framework for analyzing such behavior. METHOD: The existing literature on alcohol-impaired driving and parent influences is considered based on a literature review of contemporary social science journals. Data also are presented from a survey of junior and senior high school students in the Capitol District of New York. CONCLUSIONS: Parent-based approaches are promising and represent an additional tool in the armament of strategies to reduce alcohol-impaired driving. Programs should focus on variables that are amenable to change (cognitions and attitudes), conduct preliminary studies to isolate relevant attitudes and cognitions for the target population of interest, formulate strategies that recognize the numerous demands in a parent's life and take into account existing theoretical frameworks on alcohol-impaired driving in adolescents.
Adolescent↗
Tripodal mandibular subperiosteal implant: basic sciences, operational procedures, and clinical data.
A tripodal mandibular subperiosteal dental implant is a three piece cast metal framework that fits on the residual ridge beneath the periosteum and provides support for a dental prosthesis by means of posts or other mechanisms protruding through the oral mucosa. This implant is indicated in patients with advanced atrophy of the mandible where the unstable alveolar bone has completely disappeared, leaving in place the more stable basal bone with specific anatomical contours. The authors present their experience of 317 cases carried out in three different centers related to this implant modality and underline the importance of the basic anatomic, physiologic, and medical knowledge required to optimize the results.
Adult↗
Impact of recombinant DNA technology and protein engineering on structure-based drug design: case studies of HIV-1 and HCMV proteases.
Structure-based drug design is an organized, multidisciplinary endeavor undertaken by scientists from many different scientific fields. The success of structure-based drug design was only made possible by advances in structure biology that provides the three-dimensional structure of the drug design target with which small molecular chemical ligands interact. Visualization of the conformation and interactions of a small molecule ligand bound to the protein target in the co-crystal structure of the protein:ligand complex enables the design of new chemical compounds with improved binding affinity and specificity. With the advances in molecular biology, lab automation, and computational science, genomic data have now become available for the human genome, as well as various other organisms. The pharmaceutical industry is currently putting forth tremendous effort in the area of functional genomics and structural genomics in attempts to decipher functions and structures of protein encoded by genes, with the ultimate goal of identifying novel targets for drug discovery and development. This chapter discusses the significant impact made by recombinant DNA technology and protein engineering on structural biology and, more specifically, on structure-based drug design.
Biotechnology↗
Multinomial processing tree models: an implementation.
Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psychology. This paper introduces MBT.EXE, a computer program that makes MPT easy to use for researchers. MBT.EXE implements the statistical theory developed by Hu and Batchelder (1994). This user-friendly software can be used to construct MPT models and conduct statistical inferences, including point and interval estimation, hypothesis testing, and goodness of fit. Furthermore, this program can be used to examine the robustness of MPT models. Algorithms for parameter estimation, hypothesis testing, and Monte Carlo simulation are presented.
Algorithms↗
METASTATS: behavioral science statistics for Microsoft Windows and the HP49G programmable calculator.
METASTATS is an organized suite of approximately 150 programs designed for meta-analysis, power, effect sizes and their confidence intervals, significance test conversions, and other general statistics. This freeware works either on the HP49G calculator or preinstalled on a PC emulator under Windows. Many of the programs address gaps in commercially available software. The suite has a user-friendly interface: the screen prompts for input, and labels all output. Extensive documentation includes step-by-step examples, a fully annotated catalogue of the programs, and academic references for the formulas. Both versions of the programs (calculator and PC), documentation, and installation instructions are freely available from the author's Web site, http://www.netaxs.com/-efoster/.
Behavioral Sciences↗