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Cyberspace offers chance to do 'virtually' real science.
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Managing information in the medical sciences.
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Microvascular networks: fractal structure, hemodynamic properties and physiological functions. A satellite symposium of the XXXI International Congress of Physiological Sciences. July 16-19, 1989. Abstracts.
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Electronic publishing in the health sciences.
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Biological networks and analysis of experimental data in drug discovery.
Cellular life can be represented and studied as the 'interactome'--a dynamic network of biochemical reactions and signaling interactions between active proteins. Systemic networks analysis can be used for the integration and functional interpretation of high-throughput experimental data, which are abundant in drug discovery but currently poorly utilized. The composition and topology of complex networks are closely associated with vital cellular functions, which have important implications for life science research. Here we outline recent advances in the field, available tools and applications of network analysis in drug discovery.
[Venezuelan Virology Network].
In November 2004, sponsored by the World Bank, the Venezuelan Foundation of Science, Technology and Innovation (Fonacit) and the Venezuelan Institute of Scientific Research (IVIC), delegates from the different virology research groups of the country, met in Caracas-Venezuela, with the aim to establish the "Venezuelan Virology Network". The symposium entitled "Molecular biology applied to virus of health importance in Venezuela", was divided into three areas, including human and animals viruses related to public health: 1) Dengue, others arboviruses and Hemorrhagic Fevers; 2) diarrhea-related and others veterinary viruses and 3) Hepatitis, HIV and others sexually transmitted viruses. This symposium allowed the delegates to evaluate the current strengths, weaknesses and needs of the different laboratories, becoming evident the necessity of developing collaborative work between the groups that share the same interests or lines of research; and also their need to exchange technical resources, human and bibliographical material and consequently, avoiding the duplication of efforts and the unnecessary cost of resources. One of the main strengths of Venezuelan virology is the presence, in most laboratories, of researchers with studies of fourth level and multidisciplinary teams of work. We aspire to achieve the raised objectives in the event, to the benefit of our virology and even more important, of our people.
[The first system of image transmission and neurosurgical telecommunication in Poland].
OBJECTIVE: The goal was to develop a fast and efficient neurosurgical teleconsulting network to improve acute neurosurgical patient care, to reduce transport costs and unnecessary occupation of neurosurgical beds. METHODS: Modems with 56 kilobits/s data transmission speed are used. CT images are transmitted straight from CT scanner via modem/telephone lines to receiving personal computer in Department of Neurosurgery. Receiving PC runs with Microsoft Windows operating system and the network software MultiView (EMED, Inc.). Network connects Department of Neurosurgery Polish Academy of Sciences in Warsaw with transmitting hospitals in Ciechanów and Ostrołeka. RESULTS: The system is fast, one study consisting 18 images is transmitted in about 5 minutes and it is simple to use, to date more than 1000 CT images have been transmitted. Operator acceptance has been very high. The system has improved acute neurosurgical patient care. Transfer of appropriate patients has been accelerated and unnecessary transfer is almost eliminated. CONCLUSION: Applied Neurosurgical Teleconsulting System has significantly improved acute neurosurgical patient care and has reduced transport expenses. Better availability of neurosurgical consultation has been achieved. The network is simple to use and has gained physician acceptance. It has to be emphasized that the creation and using of the system is relatively not expensive.
Gene networks controlling early cerebral cortex arealization.
Early thalamus-independent steps in the process of cortical arealization take place on the basis of information intrinsic to the cortical primordium, as proposed by Rakic in his classical protomap hypothesis [Rakic, P. (1988)Science, 241, 170-176]. These steps depend on a dense network of molecular interactions, involving genes encoding for diffusible ligands which are released around the borders of the cortical field, and transcription factor genes which are expressed in graded ways throughout this field. In recent years, several labs worldwide have put considerable effort into identifying members of this network and disentangling its topology. In this respect, a considerable amount of knowledge has accumulated and a first, provisional description of the network can be delineated. The aim of this review is to provide an organic synthesis of our current knowledge of molecular genetics of early cortical arealization, i.e. to summarise the mechanisms by which secreted ligands and graded transcription factor genes elaborate positional information and trigger the activation of distinctive area-specific morphogenetic programs.
CPMCnet: an integrated information and internet resource.
The Network and Computer Systems department of the Health Sciences Library developed CPMCnet, an UNIX-based information and Internet server at Columbia-Presbyterian Medical Center. The project linked Gopher and World-Wide Web protocols as well as clients into an integrated application, providing the advantages of both. Development and use of CPMCnet has opened new channels of communication among information providers and end-users.
A strategy for promoting improved pharmaceutical use: the International Network for Rational Use of Drugs.
Over the last decade, pharmaceutical selection, procurement, distribution, and financing have improved as a result of essential drugs programs. However, despite improved availability, pharmaceuticals are frequently used irrationally. The International Network for the Rational Use of Drugs (INRUD) has been established to help address this problem. The Network joins core groups of researchers from four African and three Asian countries with support groups in Boston, Sweden, WHO, and Australia. The activities of the Network are supported by multilateral, bilateral, foundation donors and by Management Sciences for Health. INRUD functions as a participatory organization in which members are involved in decision-making. The primary objective of the Network is to identify through a coordinated set of country-based research projects a set of effective interventions to recommend as policy options for the promotion of rational drug use. In developing these research projects, INRUD stresses the importance of a multi-disciplinary perspective for adequately understanding the reasons underlying inappropriate use of drugs. To better enable country groups to utilize strong research methodologies and to blend the strengths of multiple disciplines effectively, a major activity of the Network thus far has been the building of local research capacity.
Women and health research: working for change.
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Detection of functional modules from protein interaction networks.
Complex cellular processes are modular and are accomplished by the concerted action of functional modules (Ravasz et al., Science 2002;297:1551-1555; Hartwell et al., Nature 1999;402:C47-52). These modules encompass groups of genes or proteins involved in common elementary biological functions. One important and largely unsolved goal of functional genomics is the identification of functional modules from genomewide information, such as transcription profiles or protein interactions. To cope with the ever-increasing volume and complexity of protein interaction data (Bader et al., Nucleic Acids Res 2001;29:242-245; Xenarios et al., Nucleic Acids Res 2002;30:303-305), new automated approaches for pattern discovery in these densely connected interaction networks are required (Ravasz et al., Science 2002;297:1551-1555; Bader and Hogue, Nat Biotechnol 2002;20:991-997; Snel et al., Proc Natl Acad Sci USA 2002;99:5890-5895). In this study, we successfully isolate 1046 functional modules from the known protein interaction network of Saccharomyces cerevisiae involving 8046 individual pair-wise interactions by using an entirely automated and unsupervised graph clustering algorithm. This systems biology approach is able to detect many well-known protein complexes or biological processes, without reference to any additional information. We use an extensive statistical validation procedure to establish the biological significance of the detected modules and explore this complex, hierarchical network of modular interactions from which pathways can be inferred.
The use of self-organising maps for anomalous behaviour detection in a digital investigation.
The dramatic increase in crime relating to the Internet and computers has caused a growing need for digital forensics. Digital forensic tools have been developed to assist investigators in conducting a proper investigation into digital crimes. In general, the bulk of the digital forensic tools available on the market permit investigators to analyse data that has been gathered from a computer system. However, current state-of-the-art digital forensic tools simply cannot handle large volumes of data in an efficient manner. With the advent of the Internet, many employees have been given access to new and more interesting possibilities via their desktop. Consequently, excessive Internet usage for non-job purposes and even blatant misuse of the Internet have become a problem in many organisations. Since storage media are steadily growing in size, the process of analysing multiple computer systems during a digital investigation can easily consume an enormous amount of time. Identifying a single suspicious computer from a set of candidates can therefore reduce human processing time and monetary costs involved in gathering evidence. The focus of this paper is to demonstrate how, in a digital investigation, digital forensic tools and the self-organising map (SOM)--an unsupervised neural network model--can aid investigators to determine anomalous behaviours (or activities) among employees (or computer systems) in a far more efficient manner. By analysing the different SOMs (one for each computer system), anomalous behaviours are identified and investigators are assisted to conduct the analysis more efficiently. The paper will demonstrate how the easy visualisation of the SOM enhances the ability of the investigators to interpret and explore the data generated by digital forensic tools so as to determine anomalous behaviours.
T(h)-Symmetric Nanoporous Network Built of Hexameric Metallamacrocycles with Disparate Cavities for Guest Inclusion This work is supported by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province and Hong Kong Research Grants Council Earmarked Grant CUHK 4206/99P.
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Introduction of a new laboratory test: an econometric approach with the use of neural network analysis.
We designed a simulation model for the assessment of the financial risks involved when a new diagnostic test is introduced in the laboratory. The model is based on a neural network consisting of ten neurons and assumes that input entities can have assigned appropriate uncertainty. Simulations are done on a 1-day interval basis. Risk analysis completes the model and the financial effects are evaluated for a selected time period. The basic output of the simulation consists of total expenses and income during the simulation time, net present value of the project at the end of simulation, total number of control samples during simulation, total number of patients evaluated and total number of used kits.
Centralized automated cataloging of health science materials in the MLC/SUNY/OCLC shared cataloging service.
Since February 1976, The Medical Library Center of New York, with the assistance of the SUNY/OCLC Network, has offered, on a subscription basis, a centralized automated cataloging service to health science libraries in the greater metropolitan New York area. By using workforms and prints of OCLC record (amended by the subscribing participants), technical services personnel at the center have fed cataloging data, via a CRT terminal, into the OCLC system, which provides (1) catalog cards, received in computer filing order; (2) book card, spine, and pocket labels; (3) accessions lists; and (4) data for eventual production of book catalogs and union catalogs. The experience of the center in the development, implementation, operation, and budgeting of its shared cataloging service is discussed.
The realness of risk: gene technology in Germany.
This paper examines the material relations of risk within a dispute about the hazards of manufacturing human insulin using gene technology, and the rôle played by the referent 'real risk' in the technical performance of risk in that dispute. It draws on recent work in science and technology studies that extends actor-network theory to examine the performance of reality in scientific practice. The multiplicity of risks in the dispute, and the links made and unmade between them, are examined. I argue that in the dispute, risks were contingently linked and separated around a referent 'real risk' that emerged within the recombinant DNA debate of the late 1970s. I contrast my account of risk with realist and relativist accounts, each of which values risk as an abstract entity. In my account, risk's value is contingent upon sets of material relations that link hazards and procedures for their minimization. Risk's realness emerges as some risks are linked and others separated, working a multiple/singular relation in an ontological politics of risk.