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PubMedDate not supplied

In vitro, in vivo, in silico: computational systems in tissue engineering and regenerative medicine.

The emergence of computational systems in tissue engineering and regenerative medicine is paralleling the rapid rise of new technology. Developments in software and hardware have allowed access to the huge data streams that are now available. The Human Genome Project led the way and opened many avenues for other branches of science and biology with extensive but contained databanks. The availability of vast amounts of data means nothing without the ability to integrate the information into a useful form. Tissue engineering has always been a practical science in which function and utility are key objectives. This review delineates key areas of this rapidly ascending branch of science and illustrates examples central to the successful integration of computational methods.

Animals↗
PubMed1998

Measuring the unmeasurable: a caring science perspective on patient classification.

AIMS: To give a short historical survey of patient classification and its motives, to analyse patient classification and especially the instrument, The Oulu Patient Classification more closely from a caring science perspective. BACKGROUND: A survey of topical literature and research on patient classification show that economic and administrative justifications predominate and the caring science connection is weak, almost non-existent. ORIGINS OF INFORMATION: Topical literature and research on patient classification and the instrument, The Oulu Patient Classification. DATA ANALYSIS: Topical literature and research were evaluated from a caring science perspective in accordance with Eriksson's theory of caring and the basic concept of man as an entity of body, soul and spirit. KEY ISSUES: Patient classification is used in staff planning and is also justified from the viewpoint of content, that is, as a method of guaranteeing good quality in the care of patients and as an expression of the prevalent caring ideology. The concept of man is reduced in current literature and research on patient classification. The Oulu Patient Classification is based on a humanistic view of man, but man's spiritual and existential needs do not emerge clearly from the manual of the instrument. CONCLUSIONS: It is essential for patient classification to start from a caring perspective. Correctly dimensioned staffing based on patient classification is a prerequisite for good care. This should be combined with a caring culture that considers the whole complexity of man in order to make good care possible.

Activities of Daily Living↗
PubMed1991

The OCLC-SERHOLD connection: an evolution in health sciences union listing.

The OCLC Union List Subsystem (OCLC ULS) provides a standard, high quality, and widely used means of managing union list data. Over the last several years, OCLC ULS tape products have been used by thirteen health sciences libraries or groups to update SERHOLD. These thirteen libraries or groups were surveyed to examine practices in using OCLC to update SERHOLD. The National Library of Medicine's (NLM) processing of OCLC tape products was assessed to determine how OCLC data are handled by SERHOLD. Most important are the assignment of OCLC holdings symbols, OCLC record selection criteria, tape pull cycles, and the processing of exception reports produced by NLM as a result of tape loads.

Databases, Bibliographic↗
PubMed2000

The composition of cigarette smoke: a retrospective, with emphasis on polycyclic components.

The difficulties encountered in extrapolating biological activity from cigarette smoke composition provide generally applicable lessons as they are representative of the problems encountered with other complex mixtures. Researchers attempting to assess risk are faced with attempting to interpret data from a number of areas including: tobacco science; smoke/aerosol chemistry specific to tobacco; sophisticated analytical chemistry applications and techniques for trapping, collecting, separating, and quantifying very specific compounds at nanogram to picogram levels; numerous biological testing methodologies; and animal models of tumors and carcinogenesis. Numerous hypotheses have been developed over the past five decades and tested with the technology of the day in attempts to interpret the biological activity of cigarette smoke in relation to the chemistry of this complex mixture. These hypotheses fall into several categories discussed in this review: mechanisms of pyrogenesis of polycyclic aromatic hydrocarbons (PAHs) in tobacco smoke; levels of PAHs in cigarette mainstream smoke (MS) and its tumorigenicity in mouse skin-painting experiments; control of PAH levels in MS; chemical indicators of cigarette smoke condensate (CSC) tumorigenicity; control of levels of MS components partitioned between the vapor phase and particulate phase of MS; tumorigenic threshold limits of CSC and many of its components; tumorigenic aza-arenes in tobacco smoke; MS components reported to be ciliastatic to smokers' respiratory tract cilia; anticarcinogenic tobacco-smoke components. Of 52 hypotheses reviewed in this paper, 15 have excellent data supporting the hypothesis based on today's technology. The remaining 37 hypotheses, although originally plausible, have since become insupportable in light of new and contradictory data generated over the years. Such data were generated sometimes by the original authors of the hypotheses and sometimes by other investigators. The hypotheses presented today are less likely to be supplanted because they are well conceived and have a strong mechanistic basis. The challenge for the future is the generation and interpretation of data relating the chemistry and biological activity associated with the dynamic and complex mixture of tobacco smoke.

Anticarcinogenic Agents↗
PubMed1999

Combinatorial Materials Science and Catalysis.

After forever changing the drug discovery process in the pharmaceutical industry, combinatorial chemistry methodologies are increasingly being applied to the discovery and optimization of more efficient catalysts and materials (see picture). With the advent of new combinatorial synthesis and screening technologies, coupled with integrated data management systems, the application of these technologies to materials science and catalyst research holds tremendous potential and brings high expectations to this new and exciting field.

Journal Article↗
PubMedDate not supplied

Open computing grid for molecular science and engineering.

Grid is an emerging infrastructure for distributed computing that provides secure and scalable mechanisms for discovering and accessing remote software and data resources. Applications built on this infrastructure have great potential for addressing and solving large scale chemical, pharmaceutical, and material science problems. The article describes the concept behind grid computing and will present the OpenMolGRID system that is an open computing grid for molecular science and engineering. This system provides grid enabled components, such as a data warehouse for chemical data, software for building QSPR/QSAR models, and molecular engineering tools for generating compounds with predefined chemical properties or biological activities. The article also provides an overview about the availability of chemical applications in the grid.

Journal Article↗
PubMed2006

ProteinParser--a community based tool for the generation of a detailed protein consensus and FASTA output.

Comparison of bioinformatic data is a common application in the life sciences and beyond. In this communication, a novel Java based software tool, ProteinParser, is outlined. This software tool calculates a detailed consensus, or most common, amino acid at a given position in an aligned protein set, whilst also generating a full consensus protein FASTA output. A second application of this software tool, computing a consensus amino acid given a tolerance threshold, is also demonstrated. The phytase and the common bacterial beta-lactamase proteins are analysed as 'proof of concept' examples. Consensus proteins, as generated by ProteinParser, are regularly utilised in the selection of residues for protein stabilisation mutagenesis; however, this widely applicable software tool will find many alternative applications in areas such as protein homology modelling.

Amino Acid Sequence↗
PubMed1966

Mechanization in a new medical school library. II. Serials and circulation.

The serials and circulation phases of the data-processing system in use at the University of New Mexico Library of the Medical Sciences are described. The development of the programs is also reported. The serials program uses simple punched card equipment. The circulation program uses the IBM 357 Data Collection System and punched card data-processing equipment.

Electronic Data Processing↗
PubMed2002

Measurement of effective air diffusion coefficients for trichloroethene in undisturbed soil cores.

In this study, we measure effective diffusion coefficients for trichloroethene in undisturbed soil samples taken from Picatinny Arsenal, New Jersey. The measured effective diffusion coefficients ranged from 0.0053 to 0.0609 cm2/s over a range of air-filled porosity of 0.23-0.49. The experimental data were compared to several previously published relations that predict diffusion coefficients as a function of air-filled porosity and porosity. A multiple linear regression analysis was developed to determine if a modification of the exponents in Millington's [Science 130 (1959) 100] relation would better fit the experimental data. The literature relations appeared to generally underpredict the effective diffusion coefficient for the soil cores studied in this work. Inclusion of a particle-size distribution parameter, d10, did not significantly improve the fit of the linear regression equation. The effective diffusion coefficient and porosity data were used to recalculate estimates of diffusive flux through the subsurface made in a previous study performed at the field site. It was determined that the method of calculation used in the previous study resulted in an underprediction of diffusive flux from the subsurface. We conclude that although Millington's [Science 130 (1959) 100] relation works well to predict effective diffusion coefficients in homogeneous soils with relatively uniform particle-size distributions, it may be inaccurate for many natural soils with heterogeneous structure and/or non-uniform particle-size distributions.

Air Pollutants↗
PubMed1990

[Genogeography of human populations: computer mapping of population genetics data].

Genogeography as a field of interdisciplinar investigation was introduced into science in 1928 by Russian geneticist A. S. Serebrovsky an today is well known in human genetics as gene geography. This work was undertaken to introduce a new method of computer cartography of gene frequencies in human and in any other populations. The method is different from known one of P. Menozzi, A. Piazza and L. Cavalli-Sforza. Two key moments of the method are principle of fusion-fission of gene in the homogeneous geographical space equally free-for-all human genes, and principle of local-linear (but not of the high-orders) interpolation of gene frequencies onto spheric surface of geographical space. Such procedure was used for mapping of human AB0-B gene frequencies among native populations of Central Asia.

ABO Blood-Group System↗
PubMed2005

Non-homogeneous Markov processes for biomedical data analysis.

Some time ago, the Markov processes were introduced in biomedical sciences in order to study disease history events. Homogeneous and Non-homogeneous Markov processes are an important field of research into stochastic processes, especially when exact transition times are unknown and interval-censored observations are present in the analysis. Non-homogeneous Markov process should be used when the homogeneous assumption is too strong. However these sorts of models increase the complexity of the analysis and standard software is limited. In this paper, some methods for fitting non-homogeneous Markov models are reviewed and an algorithm is proposed for biomedical data analysis. The method has been applied to analyse breast cancer data. Specific software for this purpose has been implemented.

Algorithms↗
PubMed2026

Effectiveness of artificial intelligence in nursing simulation education: A systematic review, meta-analysis and bibliometric visualization analysis.

OBJECTIVES: To synthesize the roles and core functions of AI in nursing simulation education for nursing students via systematic review, quantitatively evaluate its effects on students' knowledge and skill outcomes through meta-analysis, and map the research landscape and development trends of this field through bibliometric visualization analysis. DESIGN: Systematic review, meta-analysis and bibliometric visualization analysis. DATA SOURCES: Eight electronic databases: PubMed, Web of Science, MEDLINE, ERIC, Academic Search Complete, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Chinese Science and Technology Journal Database (VIP) were employed to search studies from the time of construction to 16 December 2025. REVIEW METHODS: Studies meeting the inclusion criteria were screened. The revised Cochrane Risk of Bias tool (ROB 2) and Joanna Briggs Institute (JBI) critical appraisal checklists were used for quality assessment. Meta-analysis was performed with Review Manager 5.4, and bibliometric visualization analysis was conducted using VOSviewer 1.6.20 and Bibliometrix (based on R4.4.3). RESULTS: A total of 61 studies were included. AI primarily played two roles in nursing simulation education: peer-type new subject (n = 24) and direct mediator (n = 22). Meta-analysis showed that AI interventions significantly improved nursing students' knowledge (SMD = 1.49, 95% CI [0.55,2.43], p = 0.002) and skills (SMD = 0.66, 95% CI [0.02,1.31], p = 0.04). Bibliometric analysis identified that the United States of America and China were the two main contributing countries in this field, and the key motor themes included generative artificial intelligence, virtual patients, and geriatric care. CONCLUSIONS: AI exerts positive effects on nursing students' knowledge acquisition and skill enhancement in simulation education, with peer-type new subject and direct mediator as the dominant roles. Future research should focus on expanding AI applications in multi-specialty simulation scenarios, activating the data-driven value of machine learning, and strengthening international collaboration and standardization construction, so as to promote the sustainable development of AI-integrated nursing simulation education.

Humans↗
PubMed1997

Preschool vision screening.

OBJECTIVES: To undertake a systematic review of the effectiveness of preschool vision screening. To provide evidence on which decisions about the future provision of this service can be made. To indicate areas for further research. STUDY SELECTION: The Centre for Reviews and Dissemination guidelines for systematic reviews were used. The research questions were formulated using the Wilson and Jungner criteria for evaluating screening programmes. They concerned prevalence, natural history, disability, treatment and screening in relation to three target conditions: amblyopia, refractive errors and squints which are not cosmetically obvious. Studies were considered for inclusion according to pre-determined criteria for the age group studied, the outcomes measured and the study design. The following types of study design were considered: cross-sectional studies of prevalence, cohort studies of natural history, any type of study (e.g., cross-sectional surveys, case-series, qualitative studies) of disability attributable to a target condition, controlled trials, observational studies and audits of screening programmes, and prospective controlled trials of treatment. DATA SOURCES: The following electronic databases were searched: Biological Abstracts, CINAHL, Embase, ERIC, IAC Health Periodicals, IAPV, Medline, Psychlit, Science Citation Index, System for Information on Grey Literature in Europe, DHSS-Data, Faculty of Public Health Medicine Database of Dissertations, Index of Scientific and Technical Proceedings, Dissertation Abstracts, Index of Theses, NHS Research Register, Public Health Information Sharing Database. A limited amount of handsearching was undertaken. Reference lists were scanned to identify other relevant studies, and requests for unpublished data were made to people working in the field. DATA EXTRACTION: Data was extracted by the first author and then checked by the second. DATA SYNTHESIS: Quantitative analysis was undertaken where possible. Qualitative analysis was performed where studies were too heterogeneous for the data to be combined, or for research questions that were not suitable for quantitative synthesis. RESEARCH FINDINGS: The electronic search yielded over 5000 references, and over 500 abstracts were downloaded from the databases for further scrutiny. A total of 85 studies were included in the main analysis. PREVALENCE: No studies were found with the primary aim of establishing the prevalence of visual defects in preschool children. Data from studies of screening programmes report a range of yields for all the target conditions combined of 2.4-6.1%. NATURAL HISTORY: No studies designed with the intention of documenting the natural history of the target conditions in children aged 3 or 4 years were found. Other studies that provide some natural history data suggest that mild degrees of amblyopia may resolve spontaneously. In the absence of information about natural history it is impossible to estimate the effect of treatment from studies without a control group that was not treated. DISABILITY: A total of 21 studies exploring disability in relation to the target conditions were included. The literature provides a reasonable basis for generating plausible hypotheses about the ways in which the target conditions might disable people, but is insufficient to draw any firm conclusions about their impact on quality of life. The research to date is not sufficient to determine appropriate outcomes for controlled trials of treatment. TREATMENT: Five randomised controlled trials of treatment and six prospective controlleld trials without randomisation were found. No studies compared treatment with no treatment. Most of the studies were methodologically flawed.(ABSTRACT TRUNCATED)

Child, Preschool↗
PubMed2002

Biological data becomes computer literate: new advances in bioinformatics.

Bioinformatics is an art and science concerned with the use of computing in biological research areas such as genomics, transcriptomics, proteomics, genetics, and evolution. This review paints a broad picture of bioinformatics, drawing examples from genomic sequencing and microarray analysis. I highlight the role of bioinformatics at multiple points along the path from high-tech data generation to biological discovery.

Computational Biology↗
PubMed2002

Arsenic, drinking water, and health: a position paper of the American Council on Science and Health.

The purpose of this American Council on Science and Health report is to review issues and sources of uncertainty affecting assessment of potential health risks related to drinking water in the United States. Some background is included on how these issues arose, as is a review of the 1999 National Research Council report (with references to an updated version), to formulate a position based on the current science concerning how much of a risk of adverse health effects actually exists from arsenic in drinking water in the United States. ACSH concludes that there is clear evidence that chronic exposure to inorganic arsenic at concentrations of at least several hundred micrograms per liter may cause: (1) cancer of skin, bladder, lung (and possibly several other internal organs, including kidney, liver, and prostate), and (2) noncancer effects, including classic cutaneous manifestations that are distinctive and characteristic of chronic arsenic poisoning (diffuse or spotted hyperpigmentation and palmar-plantar hyperkeratoses). Noncancer effects may be multisystemic, with some evidence of peripheral vascular, cardiovascular, and cerebrovascular disease, diabetes, and adverse reproductive outcomes. Further study is needed to know if beneficial effects of arsenic in animal studies apply to humans. ACSH concludes that there is little, if any, evidence of a detrimental health effect in humans from inorganic arsenic in drinking water at the current maximum contaminant level (MCL) of 50 microg/L or below, either in the United States or elsewhere. As noted in the 1999 NRC report, "No human studies of sufficient statistical power or scope have examined whether consumption of arsenic in drinking water at the current MCL results in an increased incidence of cancer or noncancer effects" (NRC, 1999, p. 7). Based on our review, described in this article, ACSH finds that the limitations of the epidemiological data available and the state-of-the-science on the mode-of-action of arsenic toxicity, including can cer, are inadequate to support the conclusion that there are adverse health effects in the United States from arsenic in drinking water at or below the limit of 50 microg/L.

Arsenic↗