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The Budapest Meeting 2005 intensified networking on ethics of science: the case of reproductive cloning, germline gene therapy and human dignity.

This paper reports on the meeting of the Sounding Board of the EU Reprogenetics Project that was held in Budapest, Hungary, 6-9 November 2005. The Reprogenetics Project runs from 2004 until 2007 and has a brief to study the ethical aspects of human reproductive cloning and germline gene therapy. Discussions during The Budapest Meeting are reported in depth in this paper as well as the initiatives to involve the participating groups and others in ongoing collaborations with the goal of forming an integrated network of European resources in the fields of ethics of science.

Cloning, Organism↗

Extraction of biological interaction networks from scientific literature.

Biology can be regarded as a science of networks: interactions between various biological entities (eg genes, proteins, metabolites) on different levels (eg gene regulation, cell signalling) can be represented as graphs and, thus, analysis of such networks might shed new light on the function of biological systems. Such biological networks can be obtained from different sources. The extraction of networks from text is an important technique that requires the integration of several different computational disciplines. This paper summarises the most important steps in network extraction and reviews common approaches and solutions for the extraction of biological networks from scientific literature.

Abstracting and Indexing↗

Public and private science at home and abroad: networks among chemists, physicians and industrialists in the 1780s.

The tensions between public and private science, so familiar to us today, were alive in the science of the industrial revolution. These tensions confronted the members of a society of chemists and natural philosophers, physicians, industrialists and instrument makers who met in London from 1780 to 1787. Their meetings, held in private rooms in coffee houses, provided an ideal forum for their blend of public and private science, reinforced by a vital international network of scientific intelligence. The records of those meetings tell us a good deal about communication among natural philosophers in the 1780s, and show that some, at least in Britain, were well-informed about the latest foreign developments.

Communication↗

The creation and early implementation of a high speed fiber optic network for a university health sciences center.

In late 1989 the University of Missouri Health Sciences Center began the process of creating an extensive fiber optic network throughout its facilities, with the intent to provide networked computer access to anyone in the Center desiring such access, regardless of geographic location or organizational affiliation. A committee representing all disciplines within the Center produced and, in conjunction with independent consultants, approved a comprehensive design for the network. Installation of network backbone components commenced in the second half of 1990 and was completed in early 1991. As the network entered its initial phases of operation, the first realities of this important new resource began to manifest themselves as enhanced functional capacity in the Health Sciences Center. This paper describes the development of the network, with emphasis on its design criteria, installation, early operation, and management. Also included are discussions on its organizational impact and its evolving significance as a medical community resource.

Academic Medical Centers↗

Universal scaling of distances in complex networks.

Universal scaling of distances between vertices of Erdos-Rényi random graphs, scale-free Barabási-Albert models, science collaboration networks, biological networks, Internet Autonomous Systems and public transport networks are observed. A mean distance between two nodes of degrees k(i) and k(j) equals to (l(ij)) = A - B log(k(i)k(j)). The scaling is valid over several decades. A simple theory for the appearance of this scaling is presented. Parameters A and B depend on the mean value of a node degree (k)nn calculated for the nearest neighbors and on network clustering coefficients.

Journal Article↗

Of pride and prejudice: the role of sociology and social networks in integrating the health sciences.

Calls have been issued for understanding the "contexts" or "environment" shaping the causes and consequences of health and health care. Existing efforts raise concerns about how a panorama of influences can be considered simultaneously. Sociology's view of contexts as social network structures that shape and are shaped in social interaction offers one key to resolving this dilemma. Because social networks have become central in the social, natural, and physical sciences, this perspective provides a common platform for bringing in sociology's rich theoretical and methodological insights. Yet, to do this well, three conditions must shape our response. First, all levels relevant to health and health care must be considered, separated out, and linked by network mechanisms. The genetic-biological level, perhaps the most foreign level to sociologists, represents the greatest need and best prospect for advancing a sociologically based solution. Second, room must be made to tailor models to populations, whether defined socially or medically. Third, sociologists must find a voice within "big science " to address problems from social construction to social causation that contribute to basic social processes as well as health. I trace developments in the Network-Episode Model as one theoretical starting point.

Humans↗

A local network for sharing resources and technical support: BACS/PHILNET.

Within the framework of large regional and national networks, local libraries can benefit by working together. We report the establishment of an online health sciences library network to share resources and technical support in the greater St. Louis area. BACS/PHILNET has evolved beyond a local automated interlibrary loan network to pilot off-site integrated library and information management systems in hospitals.

Computer Communication Networks↗

Reflections from organization science on the development of primary health care research networks.

In the UK, policy changes in primary health care research and development have led to the establishment of primary care research networks. These organizations aim to increase research culture, capacity and evidence base in primary care. As publicly funded bodies, these networks need to be accountable. Organizational science has studied network organizations including why and how they develop and how they function most effectively. This paper draws on organizational science to reflect on why primary care research networks appear to be appropriate for primary care research and how their structures and processes can best enable the achievement of their aims.

Communication↗

Remote access to electronic library services through a campus network.

The Health Science Library at University of Tennessee (UT), Memphis has taken advantage of a campuswide network for the purpose of providing enhanced access to library services. With a terminal or microcomputer, members of the UT Memphis community can use an electronic menu system to complete photocopy, interlibrary loan, and computer literature search request forms; leave messages or sign up for library workshops; use electronic mail to receive citations and abstracts from computer literature searches; use an electronic bulletin board to scan the library's new acquisitions lists, library hours, services, and policies; and use bibliographic retrieval software to search the library's locally mounted databases. Remote access to library services and electronic resources, which is available twenty-four hours a day, could potentially save users time and the institution money. Remote access, however, is intended to supplement, not to supplant or discourage, in-house library use.

Computer Communication Networks↗

[Twisting and turning; the development of the Dutch science shops].

The concept of science shops (Wetenschapswinkels) originates from the Netherlands. Science shops were based on the idea that universities had to play a more prominent role in the solution of social problems - an outcome of the discussion, initiated by students, on the democratisation of universities in the early 1970s. Starting as voluntary student organisations supported by individual staff members from the universities, they were devoted to give oppressed minority groups and the financially weak access to scientific research. Slowly, acknowledgement came. Science shops began to receive financial support from university boards. Support also came from the Dutch government. By now science shops have professionalized and most of them are well embedded in their universities. Many developments within society and the universities influenced the work and structure of the science shops. Positive developments were professionalization, growth, becoming embedded, and the introduction of new research themes. There were also negative developments, such as budget cuts and the fact that 'service to society' ceased to be a government objective for the universities. These led to recurring struggles for survival, which were not always won. Interest in the science shop concept has grown in other countries over the last years. In the 1980s, the system spread within Western Europe. Similar activities, based on the Dutch model, have started in North America and Eastern Europe in the 1990s. The activities on the international level led to an E.U. financial project to prepare an international network of science shops, which commenced in 1999. With information exchange and international cooperation as its major goals, the network will create new opportunties for the future.

Curriculum↗

Holder of record: A cooperative health sciences journal system in a hospital library network.

The cooperative acquisition and retention of health sciences journals by a group of small and medium-sized Veterans Administration hospital libraries is described. The "holder of record" system emphasizes a contractual agreement that has freed resources for expansion of the group's journal holdings and distributed responsibility for interlibrary loan among the libraries involved.

Interlibrary Loans↗

Modularity and community structure in networks.

Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and characterizing this community structure is one of the outstanding issues in the study of networked systems. One highly effective approach is the optimization of the quality function known as "modularity" over the possible divisions of a network. Here I show that the modularity can be expressed in terms of the eigenvectors of a characteristic matrix for the network, which I call the modularity matrix, and that this expression leads to a spectral algorithm for community detection that returns results of demonstrably higher quality than competing methods in shorter running times. I illustrate the method with applications to several published network data sets.

Journal Article↗

Performance of a neural network trained to make third-molar treatment-planning decisions.

The authors developed and tested 12 neural networks of different architectures to make lower-third-molar treatment-planning decisions, using a software-based neural network (Neudesk 1.2, Neural Computer Sciences, Southampton, UK). Network training was undertaken using clinical histories from 119 patients (with 238 lower third molars) referred for treatment planning (79 females and 40 males, mean age 25 years) together with output data consisting of actual treatments planned by a senior oral surgeon. Both the input clinical data and the consultant decisions were treated on a tooth-wise basis and were coded to numerical values. Binary data (e.g., present/absent) were coded to 1 and 0, while quantitative data (e.g., age) were scaled to fall between 0 and 1. A network based on the optimal architecture was trained and then interrogated with test data derived from a further 174 patients (119 females and 55 males, mean age 26 years) with 348 lower third molars. Network decisions were dichotomized with a threshold of 0.8. With no knowledge of the network decisions, the senior oral surgeon indicated his preferred treatments. The teeth were then assigned to "gold-standard" categories of indications present or absent based on National Institutes of Health consensus criteria. Against this, the network achieved a sensitivity of 0.78, which was slightly inferior to that of the oral surgeon (0.88), although this difference was not significant, and a specificity of 0.98, compared with 0.99 for the oral surgeon (p = NS). Agreement between the oral surgeon and network decisions was very high (kappa = 0.850). This study demonstrates that it is possible to train a neural network to provide reliable decision support for lower-third-molar treatment planning.

Adult↗

Republican Scientific-Medical Library, The Republic of Armenia: progress and programs.

In 1990, the Republican Scientific-Medical Library (RSML) of the Ministry of Health of Armenia in collaboration with the Fund for Armenian Relief created a vision of a national library network supported by information technology. This vision incorporated four goals: (1) to develop a national resource collection of biomedical literature accessible to all health professionals, (2) to develop a national network for access to bibliographic information, (3) to develop a systematic mechanism for sharing resources, and (4) to develop a national network of health sciences libraries. During the last decade, the RSML has achieved significant progress toward all four goals and has realized its vision of becoming a fully functional national library. The RSML now provides access to the literature of the health sciences including access to the Armenian medical literature, provides education and training to health professionals and health sciences librarians, and manages a national network of libraries of the major health care institutions in Armenia. The RSML is now able to provide rapid access to the biomedical literature and train health professionals and health sciences librarians in Armenia in information system use. This paper describes the evolution of the RSML and how it was accomplished.

Armenia↗