DRUMMOND HILL

Advertisement Journals Books Search Menu Menu Navbar Search Filter Social Work Research and AbstractsThis issueNASW Family Social WorkBooksJournalsOxford Academic Mobile Microsite Search Term Search Sign In Issues About About Social Work Research and Abstracts About the National Association of Social Workers About the National Association of Social Workers Press Journals Career Network Journals on Oxford Academic Books on Oxford Academic NASW Family Issues About About Social Work Research and Abstracts About the National Association of Social Workers About the National Association of Social Workers Press Journals Career Network Close Navbar Search Filter Social Work Research and AbstractsThis issueNASW Family Social WorkBooksJournalsOxford Academic Microsite Search Term Search Advanced Search Search Menu Article Navigation Close mobile search navigation Article Navigation Volume 16 Issue 2 Summer 1980 Next > Article Navigation Article Navigation Journal Article Does social work research have a future? A book review Get access William E. Gordon, Ph.D. William E. Gordon, Ph.D. Professor Emeritus George Warren Brown School of Social Work, Washington University, St. Louis, Missouri Search for other works by this author on: Oxford Academic Google Scholar Social Work Research and Abstracts, Volume 16, Issue 2, Summer 1980, Pages 3–4, https://doi.org/10.1093/swra/16.2.3 Published: 01 July 1980 Views Article contents Figures & tables Video Audio Supplementary Data Cite Cite William E. Gordon, Ph.D., Does social work research have a future? A book review, Social Work Research and Abstracts, Volume 16, Issue 2, Summer 1980, Pages 3–4, https://doi.org/10.1093/swra/16.2.3 Select Format Select format .ris (Mendeley, Papers, Zotero) .enw (EndNote) .bibtex (BibTex) .txt (Medlars, RefWorks) Download citation Close Permissions Icon Permissions Share Email Twitter Facebook More Navbar Search Filter Social Work Research and AbstractsThis issueNASW Family Social WorkBooksJournalsOxford Academic Mobile Microsite Search Term Search Sign In Close Navbar Search Filter Social Work Research and AbstractsThis issueNASW Family Social WorkBooksJournalsOxford Academic Microsite Search Term Search Advanced Search Search Menu Article PDF first page preview Close This content is only available as a PDF. Copyright © 1980 by the National Association of Social WorkersCopyright © 1980 by the National Association of Social Workers Issue Section: Research You do not currently have access to this article. 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Family and Child Welfare

Fractional Brownian Motions, Fractional Noises and Applications

Two higher-order compact finite difference approaches, the Hermitian and the Lax-Wendroff are examined by applying them to the viscous Burgers' equation. The difference equations obtained by the two methods were integrated in time through the third-order Strong-Stability-Preserving Runge-Kutta scheme. Absolute errors are computed by using an exact solution. The results are also compared with a second order central difference scheme. The Hermitian approach is far easier to implement. On uniform grids the Lax-Wendroff scheme produces smaller errors during the initial stages, but both methods are equally good for larger durations of integration. The convergence rate of the Hermitian scheme is slightly higher than the Lax-Wendroff scheme although both are of fourth order. Both schemes are unstable beyond a certain step size in time and space. When numerical boundary conditions are imposed, second-order conditions produce the best results whereas linear extrapolation proved to be the worst. It was also observed that large domains were required to implement the numerical boundary conditions properly. There was no detrimental effect on the accuracy of the results obtained through either of the two schemes when the size of the domain was greatly increased. Both schemes showed remarkable improvement in accuracy when clustered grids were employed. However much smaller time steps are required for stable solutions.

Caribbean Cricket: The Role of Sport in Emerging Small-nation Politics

Book ReviewsBook ReviewPublished Online:December 20, 2006https://doi.org/10.1027/1016-9040.11.3.244PDFView Full Text ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInReddit SectionsMoreReferences Allen, I. , Olkin, I. (1999). Estimating time to conduct a meta-analysis from number of citations retrieved. Journal of the American Medical Association, 282, 634– 635 Crossref, Google Scholar Button, K. , Kerr, J. (1996). The effectiveness of traffic restrain policies: A simple meta-regression analysis. International Journal of Transport Economics, 23, 213– 225 Google Scholar Cooper, H. (1989). Integrating research: A guide for literature reviews . Newbury Park: Sage Google Scholar Cooper, H. , Hedges, L.V. Eds. (1994). The handbook of research synthesis . New York: Russell Sage Foundation Google Scholar Lipsey, M.W. , Wilson, D.B. (2001). Practical meta-analysis . Thousand Oakes: Sage Google Scholar Lösel, F. , Beelmann, A. (2003). Effects of child skills training in preventing antisocial behavior: A systematic review of randomized evaluations. Annals of the American Academy of Political and Social Science, 587, 84– 109 Crossref, Google Scholar Smith, M.L. , Glass, G.V. (1977). Meta-analysis of psychotherapy outcome studies. American Psychologist, 32, 752– 760 Crossref, Google ScholarFiguresReferencesRelatedDetailsCited byUnderstanding and Promoting Industrial Sustainability in Africa Through the Triple Helix Approach: a Conceptual Model and Research Propositions15 May 2020 | Journal of the Knowledge Economy, Vol. 12, No. 3A Systematic Literature Review on RAMS analysis for critical infrastructures protectionInternational Journal of Critical Infrastructure Protection, Vol. 33Business Management and Strategy in Cybersecurity for Digital TransformationHow ideas matter in public policy: a review of concepts, mechanisms, and methodsInternational Review of Public Policy, Vol. 2, No. 3Firm–civil society organizational collaborations in the context of corporate social responsibility (CSR) initiatives; development of collaboration typologyWorld Journal of Entrepreneurship, Management and Sustainable Development, Vol. 16, No. 4Risk Factors of Supply Chain in Biopharmaceutical Companies in Iran15 November 2020 | Pharmaceutical Sciences, Vol. 27, No. 3Determinants of low-carbon transport mode adoption: systematic review of reviews21 September 2020 | Environmental Research Letters, Vol. 15, No. 10Production and supply-chain as the basis for SMEs’ environmental management development: a systematic literature reviewJournal of Cleaner ProductionContext awareness in healthcare: a systematic literature review2 July 2019 | Universal Access in the Information Society, Vol. 19, No. 2Patient and physician preferences for type 2 diabetes medications: a systematic review11 November 2019 | Journal of Diabetes & Metabolic Disorders, Vol. 18, No. 2Performance measurement for supply chain management and quality management integrationBenchmarking: An International Journal, Vol. 27, No. 7System Dynamics in Tourism Planning and Development21 February 2018 | Tourism Planning & Development, Vol. 16, No. 3Use of VR Headsets in Education: A Systematic Review Study31 January 2019 | Journal of Educational Technology and Online LearningTapping into the wearable device revolution in the work environment: a systematic reviewInformation Technology & People, Vol. 31, No. 3Systematic Literature Reviews in Social Sciences and HumanitiesJournal of Information Technology Research, Vol. 11, No. 1Performance measurement in airport settings: a systematic literature reviewBenchmarking: An International Journal, Vol. 23, No. 4Meta-analysis of influential factors on crop yield estimation by remote sensing5 March 2014 | International Journal of Remote Sensing, Vol. 35, No. 6Software fault prediction metrics: A systematic literature reviewInformation and Software Technology, Vol. 55, No. 8Family Support in Prevention Programs for Children at Risk for Emotional/Behavioral Problems12 November 2011 | Clinical Child and Family Psychology Review, Vol. 14, No. 4 Volume 11Issue 3September 2006ISSN: 1016-9040eISSN: 1878-531X InformationEuropean Psychologist (2006), 11, pp. 244-245 https://doi.org/10.1027/1016-9040.11.3.244.© 2006Hogrefe & Huber PublishersAcknowledgments:PDF download

Associations Between Key Language-Related Measures in Typically Developing School-Age Children

On Issues of Validity and Especially on the Misery of Convergent Validity

The increase in hospitalizations of patients with noncommunicable diseases remains a key challenge for healthcare systems. A significant portion of these hospitalizations is potentially preventable with timely outpatient monitoring and effective primary care. Predictive models based on data from health information systems (HIS) and electronic health records (EHRs) make it possible to identify patients at increased risk of hospitalization and improve their management strategies. The article systematizes and summarizes international experience in using hospitalization risk prognostic models, developed on the basis of HIS and EHR data. We made a systematic review of publications presented in Russian and foreign databases (Scopus, PubMed, BMC Health Services Research, BMJ Research, Google Scholar, Elibrary, Oxford Academic, Wiley Online Library) for the period 1993-2023. The analysis included studies that used EHR and HIS data to develop and/or validate prognostic models of hospitalization risk. The information is systematized by following predictor categories: diseases and comorbidities, prescriptions, interaction with healthcare organizations, sociodemographic and laboratory parameters. The final analysis included 14 studies describing 28 models for predicting the hospitalization risk. Most studies used logistic regression. Machine learning methods (gradient boosting, random forest, and Bayesian ensemble models) were used in some studies. The categories with the highest prognostic value were "diseases and comorbidities" (42,3%), "medication prescriptions" (23,6%), and "interaction with health organizations" (19,8%). Including temporal characteristics (frequency and recency of hospitalizations, visits to primary care facilities, and laboratory tests) increased the model accuracy. Predictive models based on EHR and HIS data demonstrate high discriminatory power and enable the assessment of hospitalization risk at the primary care level. Machine learning methods in some studies demonstrated the possibility of a more in-depth analysis of the relationships between predictors and improved prediction accuracy. A promising area of research is the further development, external validation, and adaptation of models using expanded EHR and HIS data sets for its use in outpatient monitoring and preventing noncommunicable diseases.

Generations X, Y, and Z

Ethics in orthodontics. A proud tradition of ethics in a proud specialty.

Obesity-induced liver inflammation can drive insulin resistance. HDL has anti-inflammatory properties, so we hypothesized that low levels of HDL would perpetuate inflammatory responses in the liver and that HDL treatment would suppress liver inflammation and insulin resistance. The aim of this study was to investigate the effects of lipid-free apoAI on hepatic inflammation and insulin resistance in mice. We also investigated apoAI as a component of reconstituted HDLs (rHDLs) in hepatocytes to confirm results we observed in vivo. To test our hypothesis, C57BL/6 mice were fed a high-fat diet (HFD) for 16 weeks and administered either saline or lipid-free apoAI. Injections of lipid-free apoAI twice a week for 2 or 4 weeks with lipid-free apoAI resulted in: i) improved insulin sensitivity associated with decreased systemic and hepatic inflammation; ii) suppression of hepatic mRNA expression for key transcriptional regulators of lipogenic gene expression; and iii) suppression of nuclear factor κB (NF-κB) activation. Human hepatoma HuH-7 cells exposed to rHDLs showed suppressed TNFα-induced NF-κB activation, correlating with decreased NF-κB target gene expression. We conclude that apoAI suppresses liver inflammation in HFD mice and improves insulin resistance via a mechanism that involves a downregulation of NF-κB activation.

In Reply to Wang and Shi

The Numerical Solution of Integral Equations on the Half-Line