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At least 289 records · Page 16Linked to original sources
PubMed2026

Acupoint Selection Patterns and Potential Mechanisms of Acupuncture in Knee Osteoarthritis: A Combined Data Mining and Network Pharmacology Study.

OBJECTIVE: To identify the core acupoint prescription and Kellgren-Lawrence (K-L) grade-dependent compatibility patterns of acupuncture for KOA through complex network analysis, and to predict the potential molecular mechanisms underlying the core prescription via network pharmacology. METHODS: Literature was retrieved from PubMed, EMbase, Cochrane Library, Web of Science, CNKI, Wanfang, VIP, and SinoMed (inception to September 3, 2025). Frequency, association rule, complex network, and K-L grade subgroup analyses were applied. Potential targets of the core prescription were identified via network pharmacology and intersected with disease targets from OMIM, Therapeutic Target, GeneCards, and DrugBank. A protein-protein interaction (PPI) network was constructed, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to explore the potential molecular mechanisms. RESULTS: We included 522 studies, yielding 582 prescriptions involving 123 acupoints. The core prescription comprised 24 acupoints, including Dubi (ST35), Neixiyan (EX-LE4), Liangqiu (ST34), Xuehai (SP10), Zusanli (ST36), Yanglingquan (GB34), Yinlingquan (SP9), among others. K-L subgroup analysis revealed ST35, GB34, SP9, and SP10 as universal core acupoints. The mild-to-moderate subgroup mainly used local acupoints, while the moderate-to-severe subgroup centered on ST35, with increased distal acupoint usage and higher degree values. Network pharmacology analysis identified 77 overlapping targets. Core targets included tumor necrosis factor (TNF), interleukin 6 (IL6), interleukin 1 beta (IL1B), tumor protein p53 (TP53), matrix metallopeptidase 9 (MMP9), signal transducer and activator of transcription 3 (STAT3), transforming growth factor beta 1 (TGFB1), caspase 3 (CASP3), and B-cell lymphoma 2 (BCL2), which were enriched in inflammation and immunity, cartilage metabolism, and tissue repair pathways. CONCLUSION: The core acupoint prescription for KOA features local acupoints combined with distal ones, exhibiting distinct patterns across K-L grades. Our computational findings suggest that core acupoints may potentially delay knee joint degeneration by synergistically regulating inflammation, cartilage metabolism, apoptosis, and tissue repair, although these predictions require experimental validation. These findings provide preliminary evidence and a theoretical basis for standardized clinical point selection and further mechanistic research.

KOA↗
PubMed2005

Synthesis, processing and properties of conjugated polymer networks.

Despite the diverse research activities focused on the chemistry, materials science and physics of conjugated polymers, the feature of conjugated cross-links, which can provide electronic communication between chains, has received little attention. This situation may be a direct consequence of the challenge to introduce such links while retaining adequate processability. Focusing on recent studies of materials for which charge transport or electrical conductivity data are available, this feature article attempts to present an overview of the synthesis, processing and electronic properties of conjugated polymer networks. For the purpose of this discussion, two distinctly separate architectures-featuring covalent cross-links on the one hand and non-covalent organometallic bridges on the other-are treated in separate sections. The available data indicate that cross-linking can have significant benefits for intermolecular charge transfer if the polymers are carefully designed.

Journal Article↗
PubMed1995

Network thermodynamics revisited.

Modeling provides a bridge between the natural sciences (physics, chemistry, biology, and the like) and the axiomatic sciences (mathematics and statistics). Inductively-derived descriptive models map observations of physical processes into mathematical descriptions that can be treated as axioms (e.g., the various laws of physics). A synthetic model combines descriptive models of several physical processes with a structural model (representing the interactions of those processes) for the purpose of deducing or predicting the consequences of interactions. When applied together with elementary thermodynamic principles, circuit theory provides an excellent framework for synthetic modeling.

Electronics↗
PubMed2001

Bronchoscopy. Year 2001 and beyond.

The current revolution in technology, imaging, and information processing will be of major influence on bronchoscopy within the next two decades. Clinicians will be able to visualize structures in vivo that up to now only the pathologist could see. Clinicians will reach anatomic structures that are inaccessible by the bronchoscope, yet treat diseases that are still the domain of surgeons, medical oncologists, and radiotherapists. Clinicians will be able to communicate online worldwide, improving standards of patient care, teaching, and finally even perform interventional procedures by way of networks. Because of the exponential growth of sciences like nanotechnology and biotechnology, these changes will come very rapidly. The new quality of these intelligent instruments will demand a new ideological and ethical discourse on the future of science in general.

Bronchoscopes↗
PubMed1997

Efficient Training of Recurrent Neural Network with Time Delays.

Training recurrent neural networks to perform certain tasks is known to be difficult. The possibility of adding synaptic delays to the network properties makes the training task more difficult. However, the disadvantage of tough training procedure is diminished by the improved network performance. During our research of training neural networks with time delays we encountered a robust method for accomplishing the training task. The method is based on adaptive simulated annealing algorithm (ASA) which was found to be superior to other training algorithms. It requires no tuning and is fast enough to enable training to be held on low end platforms such as personal computers. The implementation of the algorithm is presented over a set of typical benchmark tests of training recurrent neural networks with time delays. Copyright 1996 Elsevier Science Ltd.

Journal Article↗
PubMed2003

Post-war smoking policy in the UK and the redefinition of public health.

Current analyses of UK smoking policy within two frameworks--the 'heroes and villains' view of journalist accounts and a political science emphasis on rival 'producer' and 'issue' networks in policy making. It is often assumed that the US experience provides a universal historical model. This paper sees smoking policy in the UK as a case study in the relationship between 'scientific fact creation' and policy, which has also been emblematic of wider changes in public health ideology. The issue of smoking and lung cancer symbolized the post-war shift from infectious to chronic disease and the rise of a new 'lifestyle'-oriented public health. In the 1980s passive smoking brought a revival of environmentalism; in the 1990s the rediscovered concept of addiction symbolized developments in public health in which curative and preventive initiatives were entwined. Despite the rise of a militant 'healthism' within both anti-smoking and public health since the 1970s, British policy retained a dual focus, an emphasis on risk reduction as well as risk elimination in which policy networks were entwined rather than distinct. Some public health scientists worked in policy milieux, notably the expert committee, which crossed this apparent divide and which linked with industry. Connections between government and industry changed as public health 'treatment' brought the pharmaceutical industry into the picture.

Health Policy↗
PubMed2004

Preferential exchange: strengthening connections in complex networks.

Many social, technological, and biological interactions involve network relationships whose outcome intimately depends on the structure of the network and on the strengths of the connections. Yet, although much information is now available concerning the structure of many networks, the strengths are more difficult to measure. Here we show that, for one particular social network, notably the e-mail network, a suitable measure of the strength of the connections can be available. We also propose a simple mechanism, based on positive feedback and reciprocity, that can explain the observed behavior and that hints toward specific dynamics of formation and reinforcement of network connections. Network data from contexts different from social sciences indicate that power-law, and generally broad, distributions of the connection strength are ubiquitous, and the proposed mechanism has a wide range of applicability.

Journal Article↗
PubMed2005

Statistical-mechanical iterative algorithms on complex networks.

The Ising models have been applied for various problems on information sciences, social sciences, and so on. In many cases, solving these problems corresponds to minimizing the Bethe free energy. To minimize the Bethe free energy, a statistical-mechanical iterative algorithm is often used. We study the statistical-mechanical iterative algorithm on complex networks. To investigate effects of heterogeneous structures on the iterative algorithm, we introduce an iterative algorithm based on information of heterogeneity of complex networks, in which higher-degree nodes are likely to be updated more frequently than lower-degree ones. Numerical experiments clarified that the usage of the information of heterogeneity affects the algorithm in Barabási and Albert networks, but does not influence that in Erdös and Rényi networks. It is revealed that information of the whole system propagates rapidly through such high-degree nodes in the case of Barabási-Albert's scale-free networks.

Journal Article↗
PubMed2005

Embracing complexity, inching closer to reality.

Drugs designed against targets in presumably simple linear signaling pathways found to be associated with disease are often less effective than predicted. One reason for this is the overly simplistic view of the molecular mechanisms underlying common human diseases. This viewpoint is a consequence of biological reductionism, brought about by the need to form a basic understanding of the fundamental attributes of biological systems and by limitations in the set of tools available for analysis of biological systems. However, complex biological systems are best modeled as highly modular, fluid systems exhibiting a plasticity that allows them to adapt to a vast array of conditions. Historically, this viewpoint has long represented the ideal, but the tools needed to examine and describe this complexity were often lacking. Here we argue that the tools of biological science now allow for a more network-oriented view of biological systems and for explaining the underlying causes of disease, as well as the best ways to target disease. Ultimately, this will help to ensure that the right drug is administered to the right patient at the right time. Focusing on well-studied signaling pathways, refining the definition of disease, and identifying disease subtypes, we demonstrate a more holistic approach to elucidating common human diseases, with the potential to revolutionize treatment of these diseases.

Animals↗
PubMed1996

The role of mentors for women in animal science: perspectives from government.

The purpose of a mentor is to empower individuals to succeed in a professional career in animal science. Effective mentorship programs in animal agriculture will guarantee that more qualified women are retained in our profession, and thereby contribute to workforce diversity. Good mentors are the single most significant contributor to building a successful career. Mentorship programs can be informal or formal. Effective informal mentoring depends on selection of a mentor with a positive attitude that can be a trusted advisor and good listener. The Beltsville Area of USDA, ARS, offers a Mentor Program in which employees voluntarily participate as mentors or protégés. The participants are paired according to individual objectives with the overall goal to enhance their career development. The program has approximately 35% of mentors and 88% of protégés that are women. A key to its success has been improving the supervisor's understanding of mentoring as it relates to employee productivity. There are many other programs within the Equal Employment Opportunity (EEO) Program that affect women in science as government employees, including a special emphasis program called the Federal Women's Program, as well as annual evaluation for performance in Civil Rights, supervisory training, and flexible work schedules. Improving our mentorship of women in animal science will benefit animal agriculture. Behind successful women in animal science there has been encouragement from a network of mentors.

Agriculture↗
PubMed1982

Hospital association libraries: an overview.

Results of a survey conducted by the Library of the American Hospital Association to gather data about library and information services provided by other hospital associations are reported. Topics covered include staffing, funding, collection size, users, and services. The interface of these libraries with other health sciences libraries and the national Biomedical Communications Network (BCN) is discussed.

American Hospital Association↗
PubMed1991

Neural networks as a tool for utilizing laboratory information: comparison with linear discriminant analysis and with classification and regression trees.

Successful applications of neural network architecture have been described in various fields of science and technology. We have applied one such technique, error back-propagation, to a medical classification problem stemming from clinical chemistry, and we have compared the performance of two different neural networks with results obtained by conventional linear discriminant analysis or by the technique of classification and regression trees. The results obtained by the various models were tested for robustness by jackknife validation ("leave n out" method). Compared with the two other techniques, neural networks show a unique ability to detect features hidden in the input data which are not explicitly formulated as input. Thus, neural network techniques appear promising in the field of clinical chemistry, and their application, particularly in situations with complex data structures, should be investigated with more emphasis.

Alanine Transaminase↗
PubMed1986

The National Library of Medicine: from MEDLARS to the sesquicentennial and beyond.

The two decades since the introduction of MEDLARS and the passage of the Medical Library Assistance Act have been especially eventful in the history of the National Library of Medicine. The library's collections and services have grown to keep pace with the expanding health sciences literature and the needs of health professionals. Networking has emerged as an invaluable method for disseminating biomedical information. NLM has assumed new responsibilities for information services in toxicology, pharmacology, and environmental health, and for research and development in biomedical communications. Research now being carried out by NLM has the potential for enhancing the library's archival programs and for improving information dissemination in support of health sciences research, education, and practice.

Forecasting↗
PubMed1994

HUBNET: Wide Area Network utilization of Local Area Network medical reference and communication resources.

The State University of New York at Buffalo School of Medicine and Biomedical Sciences and its associated teaching sites have developed and partially implemented a regional Wide Area Network (WAN) in Buffalo and Western New York. The school wishes to use this WAN to deliver reference and communication resources to students, residents and faculty. The richest pool of easy to use reference and communication resources are PC software programs that are intended for individual workstations or at best, client-server, Local Area Network (LAN) implementation. HUBNET (Hospitals and University at Buffalo Library Resource Network), a project of the School of Medicine and the Library Consortium of Health Institutions in Buffalo offers integrated presentation of many such LAN resources over this regional WAN. The system crosses many institutional boundaries and reaches physically remote sites in a complex mix of information systems environments with few issues related to performance. The system design provides a level of ease of use that has brought many new users into active computer use while addressing integration into diverse information systems settings and networking environments.

Computer Communication Networks↗
PubMed1994

Neural networks as a new method for EEG analysis. A basic introduction.

This paper discusses the general usability of artificial neural networks for the analysis of EEG data. The advantages and drawbacks of this new technology are compared, especially from the perspective of medical computer science. Furthermore this text clarifies the fundamental principles of neural networks, the relations to the biological model and how they compare to classical evaluation methods.

Electroencephalography↗
PubMedDate not supplied

MatrixExplorer: a dual-representation system to explore social networks.

MatrixExplorer is a network visualization system that uses two representations: node-link diagrams and matrices. Its design comes from a list of requirements formalized after several interviews and a participatory design session conducted with social science researchers. Although matrices are commonly used in social networks analysis, very few systems support the matrix-based representations to visualize and analyze networks. MatrixExplorer provides several novel features to support the exploration of social networks with a matrix-based representation, in addition to the standard interactive filtering and clustering functions. It provides tools to reorder (layout) matrices, to annotate and compare findings across different layouts and find consensus among several clusterings. MatrixExplorer also supports Node-link diagram views which are familiar to most users and remain a convenient way to publish or communicate exploration results. Matrix and node-link representations are kept synchronized at all stages of the exploration process.

Algorithms↗
PubMed1999

An integrated dialysis delivery network in Ontario.

In August 1995, the Ontario Ministry of Health (MOH) issued a request for proposal (RFP) for the establishment of new and expanded dialysis services. London Health Sciences Centre (LHSC) was successful in expanding its integrated dialysis delivery network with satellites in Stratford, Woodstock and Owen Sound. This achievement required collaboration of LHSC and host hospital staff to meet the challenging RFP requirements. With final approval received in January 1997, efforts were required to establish an operational model supporting self-care and full-care patients, to train satellite staff and patients, and to manage the resulting clinical impact. A balanced scorecard (Kaplan & Norton, 1992) evaluation model was developed. Initial outcome data indicate that full-care patients in satellites require more fallback support to London units, experience more hypotensive episodes during dialysis and, in some cases, demonstrate lower levels of dialysis adequacy and nutritional status when compared to satellite self-care patients. Findings from these data will assist in revising patient inclusion criteria and processes to optimize community-based dialysis.

Ambulatory Care↗
PubMed2006

VANTED: a system for advanced data analysis and visualization in the context of biological networks.

BACKGROUND: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisticated bioinformatics tools are essential to deduct biologically meaningful interpretations from the large amount of experimental data, and help to understand biological processes. RESULTS: We present VANTED, a tool for the visualization and analysis of networks with related experimental data. Data from large-scale biochemical experiments is uploaded into the software via a Microsoft Excel-based form. Then it can be mapped on a network that is either drawn with the tool itself, downloaded from the KEGG Pathway database, or imported using standard network exchange formats. Transcript, enzyme, and metabolite data can be presented in the context of their underlying networks, e. g. metabolic pathways or classification hierarchies. Visualization and navigation methods support the visual exploration of the data-enriched networks. Statistical methods allow analysis and comparison of multiple data sets such as different developmental stages or genetically different lines. Correlation networks can be automatically generated from the data and substances can be clustered according to similar behavior over time. As examples, metabolite profiling and enzyme activity data sets have been visualized in different metabolic maps, correlation networks have been generated and similar time patterns detected. Some relationships between different metabolites were discovered which are in close accordance with the literature. CONCLUSION: VANTED greatly helps researchers in the analysis and interpretation of biochemical data, and thus is a useful tool for modern biological research. VANTED as a Java Web Start Application including a user guide and example data sets is available free of charge at http://vanted.ipk-gatersleben.de.

Algorithms↗