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The logistic analysis of categorical data from dental and oral experiments.

Logistic analysis methodology is being increasingly used in the analysis of categorical data from the biomedical sciences. We describe how the relationships between a dichotomous outcome variable and several qualitative classificatory or experimental variables can be modeled in a format similar to that used for quantitative data. The technique of weighted least squares is used to estimate the underlying parameters in the model and to perform various tests of statistical significance. The methodology is illustrated using data from a randomized dental anaesthetic study comparing three local anaesthetic solutions under two operative procedures. The similarities between the logistic analysis of dichotomous data and the analysis of variance applied to quantitative data are stressed.

Analysis of Variance

Chemical information science coverage in Chemical Abstracts.

For many years Chemical Abstracts has included in its coverage publications on chemical documentation or chemical information science. Although the bulk of those publications can be found in section 20 of Chemical Abstracts, many relevant articles were found scattered among 39 other sections of CA in 1984-1985. In addition to the scattering of references in CA, the comprehensiveness of Chemical Abstracts as a secondary source for chemical information science is called into question. Data are provided on the journals that contributed the most references on chemical information science and on the languages of publication of relevant articles.

Abstracting and Indexing

Challenges and future directions in AI-driven biomaterials for microbiome-associated oral infectious diseases: A systematic review.

Oral biofilm-induced antimicrobial resistance is the core pathogenic mechanism of microbiome-associated oral infectious diseases (dental caries, periodontitis, peri-implantitis, and endodontic infection). Traditional therapies and biomaterials are limited by poor biofilm penetration, drug resistance induction, single functionality, and inadequate adaptation to dynamic oral microenvironmental changes (e.g., pH fluctuations, salivary rinsing, masticatory stimulation). Artificial intelligence (AI) has transformed the field by integrating materials science, microbiology, and stomatology data. Via machine learning, deep learning, and multi-physics simulation, AI optimizes biomaterial physicochemical properties, decodes microenvironmental signals, constructs precise sensing-response loops, and supports the full chain of material design, performance prediction, and action simulation, advancing treatment from empirical intervention to precision regulation. This systematic review retrieved literature from PubMed, Embase, and Web of Science (January 2016-January 2026) using keywords across three dimensions: AI, biomaterials, and oral microbiome. Following inclusion/exclusion criteria, 99 articles were included. It elaborates on five core mechanisms of AI-driven oral biomaterials (precise oral microbiome analysis, targeted material design/optimization, performance prediction/simulation, targeted delivery/intervention, effect evaluation/dynamic regulation), analyzes their applications in microbiome-targeted biomaterial research and development (R&D) and clinical practice for the four major oral infectious diseases, addresses technical bottlenecks (insufficient targeting specificity and precision of biomaterials, poor stability and durability in complex oral microenvironments, inadequate biofilm disruption capacity, and clinical translation obstacles), and proposes future directions (multimodal design to enhance targeting specificity, structural and component optimization to improve stability/durability, development of multi-mechanism synergistic biofilm disruption strategies, strengthening translational research for clinical application, and deep integration of AI in the full chain of biomaterial R&D). This work provides comprehensive theoretical and practical support for the R&D, optimization, and clinical translation of AI-driven microbiome-targeted oral biomaterials.

Humans

A microcomputer-based system for detailed analysis of rat behavior.

A microcomputer-based system that can measure rotational behavior and moving velocity is described. Infrared photobeams detect the animal behavior. One advantage of this system is that data can be stored on floppy disks and analyzed in arbitrary time intervals. This system may be useful for detailed analysis of rat behavior in physiological or psychopharmacological experiments.

Animals

Clade-dependent antifungal resistance and susceptibility in Candidozyma auris: A global scoping review.

BACKGROUND: Candidozyma auris (formerly Candida auris) is an emerging multidrug-resistant fungal pathogen that has spread globally since its first identification in 2009 and is now classified as a critical-priority pathogen by the World Health Organization. Distinct genetic clades are associated with variations in geographic distribution, antifungal susceptibility, and resistance mechanisms; however, clade-specific evidence remains fragmented. AIMS: To systematically map global evidence on clade diversity, antifungal susceptibility patterns, resistance mechanisms, and clinical implications of C. auris. METHODS: A scoping review was conducted following PRISMA-ScR guidelines. Peer-reviewed primary studies published between 2009 and September 2025 were included if they reported clade attribution and antifungal susceptibility or resistance data. PubMed/MEDLINE, Scopus, and Web of Science were searched. Two reviewers independently screened studies and extracted data using a standardized form. RESULTS: Of 2050 records identified, 105 studies met inclusion criteria, representing 29 countries and diverse study designs. Whole-genome sequencing was the most common typing method. Antifungal susceptibility varied substantially across clades. High fluconazole resistance was consistently reported (MIC 4 to >256μg/mL). Echinocandins generally retained activity, although reduced susceptibility associated with FKS1 mutations was observed. Resistance mechanisms primarily involved mutations in ERG11, FKS1, and efflux-related genes. Studies also reported challenges in healthcare-associated transmission, environmental persistence, and diagnostic misidentification. CONCLUSIONS: C. auris exhibits marked clade-dependent variability in antifungal susceptibility and resistance mechanisms. These findings support the need for clade-informed interpretation of susceptibility data, standardized surveillance, improved diagnostics, and development of novel antifungal therapies.

Antifungal Agents

Health science libraries in the United States: I. Overview of the post-World War II years.

Data from three surveys of health sciences libraries in the United States (1969, 1973, and 1979) were analyzed within the context of scientific, technological, and sociopolitical developments. Findings included decrease in the number of separately administered libraries, growth of some, decline or discontinuation of others, and geographic movement. Overall, the aggregate resources are increasing, as is cooperation among libraries.

Libraries, Medical

[An analysis of the scientific publications of the A. A. Bogomolets Institute of Physiology of the Academy of Sciences of Ukraine].

Scientific publications from three sectors of the Institute have analyzed for the period since 1979 till 1988 inclusive. The analysis is based on data of annual reference books Science Citation Index (SCI) and lists of publications of each researcher of the Institute. It is shown that with almost equal numerical strength of researchers and similar number of publications the sector of molecular physiology contributed 43.6% to cited works 48.2% of these works are included into database of SCI. Such indices for the sectors of neurophysiology and physiology of visceral systems accounted for 33%, 33.4% and 23.4, 18.4% respectively. It is of interest that 47.5% of references to the cited works of the molecular physiology sector were made by foreign scientists and self-citation constituted 17.4%, while for the other sectors such indices had a reverse relationship. The problem on objectification of estimation of research is under discussion.

Academies and Institutes

Management data for collection analysis and development.

Sound management data are needed to evaluate the collections of health sciences libraries. This study reports the utilization of computer data bases to compare the libary collections of The University of Texas Health Science Center at San Antonio. The University of Texas Medical Branch, and the National Library of Medicine's CATLINE data base. The imprint dates of the records of two libraries are compared to measure acquisitions rates. Subject profiles for the Q and W classes demonstrate the similarity of the collections. Reasons for the variances are considered.

Analysis of Variance

International distribution of dental materials publications and patents.

International patterns of research and development in the field of restorative dental materials were examined with data on publications (1981-85) and patents (1979-88). It was found that United States-based authors produced approximately one-half of all dental materials journal articles published worldwide, while US inventors had nearly the same share of the US dental materials patents. During the periods studied, the share of US patents in dental materials awarded to US inventors declined, while the share of US patents awarded to Japanese inventors rose. The role of the United States in research (as measured by journal articles) remained stable. Nations differed in the degree to which their researchers specialized in particular research areas. US-based authors and inventors were relatively over-represented in prosthetic materials and under-represented in dental cements, an area in which the British and the Japanese concentrated more of their activity. There was some, but not complete, agreement in the patterns of national specialization as indexed by patent and publication data. When dental materials data were compared with data for broader fields of science and technology, important differences were found. For publications, US-based authors displayed greater dominance in dental materials than in the fields of dentistry, chemistry, and materials science. US-based inventors' share of US dental materials patents was smaller than their share of all US patents. These analyses demonstrated that it was possible to use indicators derived from publication and patent data files to conduct insightful studies of a discrete specialty of science and technology.

Databases, Bibliographic

Effects of blood flow restriction training combined with resistance training on lower-limb strength and sport-specific performance in athletes: a systematic review and meta-analysis.

BACKGROUND: In contemporary sports science, athletes and coaches continuously explore strategies to reduce training load and injury risk while increasing muscular strength and sport-specific performance. This meta-analysis evaluated the effects of blood flow restriction training (BFRT) combined with resistance training (RT) on lower-limb muscle strength and sport-specific performance in athletes. METHODS: Relevant randomized controlled trials (RCTs) were systematically searched across major databases (e.g. PubMed, Web of Science, Cochrane, CNKI, Wanfang Data, and Embase) from inception until November 2024. Two independent reviewers carefully assessed the studies. Data analysis was carried out using RevMan 5.4 software, which included heterogeneity testing, meta-analysis, subgroup analysis, and assessment of publication bias. RESULTS: Ten RCTs (181 athletes; 91 in the BFRT and RT group, 90 in the control group) were included. Outcomes determined BFRT combined with RT yielded notable enhancements in lower-limb muscle strength (SMD = 1.09, 95% CI [0.52, 1.66], p&#x2009;<&#x2009;0.05) and muscle hypertrophy (MD = 1.09, 95% CI [0.10, 2.09], p&#x2009;<&#x2009;0.05) compared to control training. However, no significant improvement in sport-specific performance was found (SMD = 0.11, 95% CI [-0.18, 0.40], p&#x2009;=&#x2009;0.46). Substantial heterogeneity was observed for strength outcomes (I2 = 75%), whereas low heterogeneity was observed for sport-specific performance and hypertrophy outcomes (I2 = 0%). No evidence of significant publication bias was detected. CONCLUSION: BFRT combined with RT appears to provide effective augmentation of lower-limb muscle strength and hypertrophy in athletes compared to RT or conventional training alone. It may be prudent to integrate this approach systematically into training cycles to optimize physiological muscle stimulation and training outcomes, despite not directly improving sport-specific performance.

Humans

Multicentre European trials: their design, execution and relevance.

Multicentre randomized clinical trials in Europe over the past decade have made a major contribution to the practice of cardiology and will increasingly do so when the Single Europe Act becomes a fact of life in 1992. The arguments for independent scientifically based research organizations and their role in the area of coronary artery disease are outlined. These include cost-benefit considerations, the science of clinical trials, data acquisition techniques and data management requirements. The role of the pharmaceutical industry in relation to the investigator-trialist is discussed. A critique of the current fashion 'Big is beautiful', with arguments against 'simplicity' and 'large size' and the need for 'credibility' is provided. Applicability of data from trials and their economic usefulness and validity in terms of sound pathophysiological hypotheses are also discussed and illustrated by using the CABRI trial as an example.

Angioplasty, Balloon, Coronary

The content of the medical curriculum at McMaster University: graduates' evaluation of their preparation for postgraduate training.

This paper describes McMaster University medical graduates' perceptions of how well their medical curriculum prepared them for postgraduate training. The graduates view their overall preparation for postgraduate work as sound. These perceptions were compared with independent assessments by internship supervisors for one graduated class. The graduates suggest their preparation for postgraduate work differs somewhat from fellow interns. Graduates reported feeling very well prepared compared to fellow postgraduate trainees in independent learning, self-evaluation and problem solving skills. They also judge their preparation in data gathering skills, behavioural science knowledge, ability to deal with social and emotional problems of patients, medical record keeping skills, preventive, follow-up and in-patient care as very good compared to peers. They identified two content areas, pharmacology and the basic medical sciences, as requiring more attention in the curriculum. These findings are discussed and related to the approach to medical education at McMaster University.

Curriculum

An analysis of the relationship of seven selected variables to State Board Test Pool Examination performance of the University of Tennessee, Knoxville, College of Nursing.

The study was designed to determine whether any one of seven selected variables or a combination of the variables is predictive of performance on the State Board Test Pool Examination. The selected variables studied were: high school grade point average (HSGPA), The University of Tennessee, Knoxville, College of Nursing grade point average (GPA), and American College Test Assessment (ACT) standard scores (English, ENG; mathematics, MA; social studies, SS; natural sciences, NSC; composite, COMP). Data utilized were from graduates of the baccalaureate program of The University of Tennessee, Knoxville, College of Nursing from 1974 through 1979. The sample of 322 was selected from a total population of 572. The Statistical Analysis System (SAS) was designed to accomplish analysis of the predictive relationship of each of the seven selected variables to State Board Test Pool Examination performance (result of pass or fail), a stepwise discriminant analysis was designed for determining the predictive relationship of the strongest combination of the independent variables to overall State Board Test Pool Examination performance (result of pass or fail), and stepwise multiple regression analysis was designed to determine the strongest predictive combination of selected variables for each of the five subexams of the State Board Test Pool Examination. The selected variables were each found to be predictive of SBTPE performance (result of pass or fail). The strongest combination for predicting SBTPE performance (result of pass or fail) was found to be GPA, MA, and NSC.

Education, Nursing, Baccalaureate