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Clinical networks for nursing research.

As a central feature of national research and development strategies, clinical effectiveness emphasizes the importance of rigorous experimental research in nursing. It is naïve to assume that over-worked practitioners, with little research training and supervision, can undertake this type of research. Traditional approaches to research support rely on the practitioner registering for a higher degree and academic supervision. This assumes that the responsibility for research lies with practice, with higher education adopting a reactive stance in supporting research and development in nursing. The literature demonstrates a growing number of innovative models for facilitating nursing research. These, however, tend to focus on single appointments with limited and predefined access to clinical areas and patient populations. This article details a new initiative from the Clinical Nursing Practice Research Unit (CNPRU) that aims to support programmatic research in nursing practice through Clinical Networks for Nursing Research. Our research strategy is to contribute to the development of nursing science by facilitating effective collaboration between clinicians and higher education in core clinical specialties, including stroke rehabilitation, diabetes, mental health and community nursing. Each researcher has developed networks with a number of clinical areas, locally, regionally or nationally, through seminars, conferences or newsletters, to link practitioners and generate answerable research questions. Network communications also rely heavily on the establishment of interactive websites. This strategy has resulted in a number of collaborative, evaluative studies including clinical trials in rehabilitation, diabetic nursing and primary care.

Clinical Nursing Research↗

[Use of information technology in the 21st century in the medical sciences].

Development of health-care system depends of using modern IT. The world is already prepared for global Large Seale Networking. Existing PC-Based DCS could be able to achieve higher intelligence, integrity, speed, memory capacity. Currently in this climate IT will develop and demonstrate revolutionary applications in basic science, medicine, environment protection, etc. Totally specific principle and approach to system philosophy needs to be used for next generations at QC with HECC. DCS are helping and it will do in future to overcome limitations of traditional technology to make better environment. In same time IT allow to gain high speed access to scientific and medicine instruments, surgical and other therapeutic interventions and better organisation of primary health care what Bosnian people have to do!

Bosnia and Herzegovina↗

[The Internet as a communication medium in veterinary medicine].

Medicine is based on expert experience and expert knowledge. One of the newest means to exchange up-to-date information is the Internet, the so-called information highway. Among academic institutions in Germany, transferring information over this world-wide communication network has become increasingly important, particularly concerning national and international cooperations in science and education. The acceptance has improved with new user-friendly graphical computer applications. The internet is regarded as a milestone on the way to the information society. In this report, we will present an overview of resources and services relevant to veterinary medicine available in the international data-network free of charge.

Animals↗

Identification of large-scale networks in the brain using fMRI.

Cognition is thought to result from interactions within large-scale networks of brain regions. Here, we propose a method to identify these large-scale networks using functional magnetic resonance imaging (fMRI). Regions belonging to such networks are defined as sets of strongly interacting regions, each of which showing a homogeneous temporal activity. Our method of large-scale network identification (LSNI) proceeds by first detecting functionally homogeneous regions. The networks of functional interconnections are then found by comparing the correlations among these regions against a model of the correlations in the noise. To test the LSNI method, we first evaluated its specificity and sensitivity on synthetic data sets. Then, the method was applied to four real data sets with a block-designed motor task. The LSNI method correctly recovered the regions whose temporal activity was locked to the stimulus. In addition, it detected two other main networks highly reproducible across subjects, whose activity was dominated by slow fluctuations (0-0.1 Hz). One was located in medial and dorsal regions, and mostly overlapped the "default" network of the brain at rest [Greicius, M.D., Krasnow, B., Reiss, A.L., Menon, V., 2003. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences of the U.S.A. 100, 253-258]; the other was composed of lateral frontal and posterior parietal regions. The LSNI method we propose allows to detect in an exploratory and systematic way all the regions and large-scale networks activated in the working brain.

Adult↗

Clinical practice should reflect clinical science.

The Cochrane Collaboration was set up in 1992 as a world-wide network for creating and disseminating systematic reviews of randomised controlled trials (RCTs) in healthcare. Systematic reviewing of RCTs is an essential stage, prior to the creation and dissemination of clinical guidelines, in the practice of evidence-based medicine. This paper is intended to provide the health telematics community with an introduction to the motives, aims and activities of the Cochrane Collaboration.

Computer Communication Networks↗

Anatomical informatics: Millennial perspectives on a newer frontier.

One of the most ancient of sciences, anatomy has evolved over many centuries. Its methods have progressively encompassed dissection instruments, manual illustration, stains, microscopes, cameras and photography, and digital imaging systems. Like many other more modern scientific disciplines in the late 20th century, anatomy has also benefited from the revolutionary development of digital computers and their automated information management and analytical capabilities. By using newer methods of computer and information sciences, anatomists have made outstanding contributions to science, medicine, and education. In that regard, there is a strong rationale for recognizing anatomical informatics as a proper subdiscipline of anatomy. A high-level survey of the field reveals important anatomical applications of computer sciences methods in imaging, image processing and visualization, virtual reality, modeling and simulation, structural database processing, networking, and artificial intelligence. Within this framework, computational anatomy is a developing field focusing on data-driven mathematical models of bodily structures. Mastering such computer sciences and informatics methods is crucial for new anatomists, who will shape the future in research, clinical knowledge, and teaching.

Anatomy↗

Health, 'small-worlds', fractals and complex networks: an emerging field.

The importance of 'small-worlds', fractals and complex networks to medicine are discussed. The interrelationship between the concepts is highlighted. 'Small-worlds'--where large populations are linked at the level of the individual have considerable importance for understanding disease transmission. Complex networks where linkages are based on the concept 'the rich get richer' are fundamental in the medical sciences--from enzymatic interactions at the subcellular level to social interactions such as sexual liaisons. Mathematically 'the rich get richer' can be modeled as a power law. Fractal architecture and time sequences can also be modeled by power laws and are ubiquitous in nature with many important examples in medicine. The potential of fractal life support--the return of physiological time sequences to devices such as mechanical ventilators and cardiopulmonary bypass pumps--is presented in the context of a failing complex network. Experimental work suggests that using fractal time sequences improves support of failing organs. Medicine, as a science has much to gain by embracing the interrelated concepts of 'small-worlds', fractals and complex networks. By so doing, medicine will move from the historical reductionist approach toward a more holistic one.

Fractals↗

Quo vadis basic and clinical chronobiology: promise for health maintenance.

Chronobiology is the eminently interdisciplinary science of interactions in time among metabolic, hormonal, and neuronal networks. It involves anatomy, biochemistry, microbiology, physiology, and pharmacology, at the molecular, intracellular, intercellular, and still higher levels of organization. The compounds coordinating a time structure--proteins, steroids, and amino-acid derivatives--provide for the scheduling of interactions among membrane, cytoplasmic, and nuclear events in a network involving rhythmic enzyme reactions and other intracellular mechanisms. The integrated temporal features of the processes of induction, repression, transcription, and translation of gene expression remain to be mapped in relation to the available framework, consisting of the sequences of phospholipid and RNA labeling, DNA formation, and mitosis, to delineate a circadian cell cycle upon which further hormonal and neural coordination acts (Halberg et al., 1959a,b, 1979a). There is a need for communication over temporal as well as spatial distances among different specialized structures devoted, in individuals, to metabolism, growth, reproduction, and the ability to adjust, and, in species, to the capacity to adapt. For a better understanding at all levels of behavior in its broader sense of organization in time, chronobiology requires familiarity with temporal aspects of metabolism, hormones, and neurons. In other words, broadly trained, full-time "general practitioners" of a chronobiology in its own right are needed.

Adrenal Cortex↗

Urologic oncology in the twenty-first century.

The perspective of urologic oncology in the twenty-first century is presented regarding detection, treatment, and prevention of cancer. There is increasing importance of a cancer information network. Biotechnology and medical engineering based on advances in computer science will be the two key technologies related to such advancement. Ethical, legal, social, and economic issues provoked by the technologic advances will increase in gravity at the same time. Balancing humans in terms of scientific technologic developments and state of mind will be a serious issue.

Humans↗

Kinetics of insulin adsorption at the oil-water interface and diffusion properties of adsorbed layers monitored using fluorescence correlation spectroscopy.

The adsorption of insulin at an oil-water interface was studied with fluorescence correlation spectroscopy (FCS). FCS is able to measure diffusion properties of insulin at nanomolar concentrations, making it possible to detect the very early steps in the adsorption process. Below 20 nM bulk insulin concentration, the insulin molecules adsorbed to the surface diffuse freely at all times during the experiment (a few hours). At higher concentrations, a surprisingly abrupt transition to a slow diffusion phase is observed. Based on the information about both diffusion times and molecular brightness derived from the FCS experiments, we suggest that the transition represents the formation of a fractal network. FCS may be a valuable tool in pharmaceutical formulation science, because it provides information about concentration buildup and phase changes at interfaces formed in drug delivery systems.

Adsorption↗

Dynamics of a Winner-Take-All Neural Network.

This paper describes a neural network with lateral inhibition, which exhibits dynamic winner-take-all (WTA) behavior. The equations of this network model a current input MOSFET WTA circuit, which motivates the discussion. A very general sufficient condition for the network to have a WTA equilibrium point is obtained and sufficient conditions for the network to converge to the WTA point are presented. This gives explicit expressions for the resolution and lower bound of the input currents. We also show that whenever the network gets into the WTA region, it will stay in that region and settle down exponentially fast to the WTA point. This provides a speed up procedure for the decision making: as soon as it gets into the region, the winner can be picked up. Finally, we show that this WTA neural network has a self-resetting property. Copyright 1996 Elsevier Science Ltd

Journal Article↗

Uniform Approximation and Gamma Networks.

We briefly describe recent results concerning the approximation of nonlinear input-output maps, and show that for any single-variable shift-invariant casual uniformly-fading-memory map G there is a focused gamma network that approximates G uniformly arbitrarily well. Copyright 1997 Elsevier Science Ltd.

Journal Article↗

The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode.

We present a study on the stability of the generalized Hopfield network in randomly asynchronous mode. First, the stability is investigated from the state space of the network. We introduce a concept of hole and define two kinds of stability in randomly asynchronous mode. By mathematical inductive method, we have proved that a generalized Hopfield network with non negative weights is strictly stable, that is, the network evolves to a simple hole-stable state with probability one when it starts at any initial state. For the general case, we made the simulation experiments on the networks with the number of neurons from 5 to 10. The empirical results have shown that almost any generalized Hopfield network with simple holes is strictly stable. Copyright 1997 Elsevier Science Ltd.

Journal Article↗

Epigenesis and dynamic similarity in two regulatory networks in Pseudomonas aeruginosa.

Mucoidy and cytotoxicity arise from two independent modifications of the phenotype of the bacterium Pseudomonas aeruginosa that contribute to the mortality and morbidity of cystic fibrosis. We show that, even though the transcriptional regulatory networks controlling both processes are quite different from a molecular or mechanistic point of view, they may be identical from a dynamic point of view: epigenesis may in both cases be the cause of the acquisition of these new phenotypes. This was highlighted by the identity of formal graphs modelling these networks. A mathematical framework based on formal methods from computer science was defined and implemented with a software environment. It allows an easy and rigorous validation and certification of these models and of the experimental methods that can be proposed to falsify or validate the underlying hypothesis.

Epigenesis, Genetic↗

Public health impact of community-based nutrition and lifestyle interventions.

Community-based interventions have increasingly received attention since researchers and public health professionals have come to acknowledge the importance of an environment that makes the healthy choice the easy choice. All stakeholders including the target community are involved to achieve changes in legislation, in people's social and physical context, and in individual characteristics that support healthy diets and other lifestyles. Some early large-scale community-based heart health interventions showed promising results. The Stanford Five City Project, for example, showed net improvements in knowledge of coronary heart disease risk factors of approximately 12%. Net declines in smoking prevalence (14%), cholesterol (2%), and systolic (3%) and diastolic (5%) blood pressure were also observed. Most later studies did not replicate these findings and it was therefore suggested that community-based interventions, which require substantial commitment and resources, may be less effective than approaches targeting high-risk groups. We present the rationale and theories for community-based interventions, and then elaborate on the methodological challenges in the design and the outcome and process evaluation of community-based interventions. We provide an overview of some of the evidence on the effectiveness of community-based heart health interventions and conclude with the perspectives for community-based interventions in future research and practice.

Community Networks↗

Raman spectroscopy of fullerenes and fullerene-nanotube composites.

The discovery of fullerenes in 1985 opened a completely new field of materials research. Together with the single-wall carbon nanotubes (SWCNTs) discovered later, these curved carbon networks are a playground for pure as well as applied science. We present a review of Raman spectroscopy of fullerenes, SWCNTs and composite materials. Beginning with pristine C(60), we discuss intercalated C(60) compounds and polymerized C(60), as well as higher and endohedral fullerenes. Concerning SWCNTs, we show how the diameter distribution can be obtained from the Raman spectra and how doping modifies the spectra. Finally, the Raman response of C(60) encapsulated into SWCNTs (C(60) peapods) is discussed.

Carbon↗