Research recommendations for selected IARC-classified agents.

OBJECTIVES: There are some common occupational agents and exposure circumstances where evidence of carcinogenicity is substantial but not yet conclusive for humans. The objectives are to identify research gaps and needs for twenty agents prioritized for review based on evidence of widespread human exposures and potential carcinogenicity in animals or humans. DATA SOURCES: A systematic review was conducted of new data published since the most recent pertinent IARC monograph meeting. DATA EXTRACTION: Reviewers were charged with identifying data gaps and general and specific approaches to address them, focusing on research that would be important in resolving classification uncertainties. An expert meeting brought reviewers together to discuss each agent and the identified data gaps and approaches. DATA SYNTHESIS: Several overarching issues were identified that pertained to multiple agents; these included the importance of recognizing that carcinogenic agents can act through multiple toxicity pathways and mechanisms, including epigenetic mechanisms, oxidative stress and immuno- and hormonal modulation. CONCLUSIONS: Studies in occupational populations provide important opportunities to understand the mechanisms through which exogenous agents cause cancer and intervene to prevent human exposure and/or prevent or detect cancer among those already exposed. Scientific developments are likely to increase the challenges and complexities of carcinogen testing and evaluation in the future, and epidemiologic studies will be particularly critical to inform carcinogen classification and risk assessment processes.[Authors]

Participation of nurses in the execution of clinical research protocol about technological innovation

AbstractOBJECTIVETo report the nurse's experience of inclusion in interdisciplinary clinical study about technological innovation, involving people with spinal cord injury.METHODDescriptive experience report. The empirical support was based on notes about perspectives and practice of clinical research, with a multi-professional nursing, physical education, physiotherapy and engineering staff.RESULTThe qualification includes the elaboration of the document for the Ethics Committee, familiarization among the members of staff and with the studied topic, and also an immersion into English. The nurse's knowledge gave support to the uptake of participants and time adequacy for data collection, preparation and assistance of the participants during the intervention and after collection. Nursing theories and processes have contributed to reveal risky diagnoses and the plan of care. It was the nurse's role to monitor the risk of overlapping methodological strictness to the human aspect. The skills for the clinical research must be the object of learning, including students in multidisciplinary researches.CONCLUSIONTo qualify the nurse for clinical research and to potentialize its caregiver essence, some changes are needed in the educational system, professional behavior, attitude and educational assistance.

Compositional Data in Biomedical Research

Modern methods of compositional data analysis are not well known in biomedical research.Moreover, there appear to be few mathematical and statistical researchersworking on compositional biomedical problems. Like the earth and environmental sciences,biomedicine has many problems in which the relevant scienti c information isencoded in the relative abundance of key species or categories. I introduce three problemsin cancer research in which analysis of compositions plays an important role. Theproblems involve 1) the classi cation of serum proteomic pro les for early detection oflung cancer, 2) inference of the relative amounts of di erent tissue types in a diagnostictumor biopsy, and 3) the subcellular localization of the BRCA1 protein, and it'srole in breast cancer patient prognosis. For each of these problems I outline a partialsolution. However, none of these problems is \solved". I attempt to identify areas inwhich additional statistical development is needed with the hope of encouraging morecompositional data analysts to become involved in biomedical research

PhD Students’ Research Group Social Capital in Two Countries: A Clustering Approach with Duocentred Network Measures

The article examines the structure of the collaboration networks of research groups where Slovenian and Spanish PhD students are pursuing their doctorate. The units of analysis are student-supervisor dyads. We use duocentred networks, a novel network structure appropriate for networks which are centred around a dyad. A cluster analysis reveals three typical clusters of research groups. Those which are large and belong to several institutions are labelled under a bridging social capital label. Those which are small, centred in a single institution but have high cohesion are labelled as bonding social capital. Those which are small and with low cohesion are called weak social capital groups. Academic performance of both PhD students and supervisors are highest in bridging groups and lowest in weak groups. Other variables are also found to differ according to the type of research group. At the end, some recommendations regarding academic and research policy are drawn

Welfare Impacts of Cross-Country Spillovers in Agricultural Research, 2007

The welfare implications of intellectual property protection (IPP) for private sector agricultural research are analyzed, focusing on the realistic cases in which countries provide different IPP levels, technology spills over across countries, and the public sector is involved in research. A model is developed to determine who benefits from, and who should pay for, the associated research. The paper contains some interesting results on the implications of a harmonization of IPP policies through multilateral agreements or via technology that allows research firms to prevent the copying of plants and animals that express traits that have emerged from their research.

Canonical correspondence analysis in social science research

The use of simple and multiple correspondence analysis is well-established in socialscience research for understanding relationships between two or more categorical variables.By contrast, canonical correspondence analysis, which is a correspondence analysis with linearrestrictions on the solution, has become one of the most popular multivariate techniques inecological research. Multivariate ecological data typically consist of frequencies of observedspecies across a set of sampling locations, as well as a set of observed environmental variablesat the same locations. In this context the principal dimensions of the biological variables aresought in a space that is constrained to be related to the environmental variables. Thisrestricted form of correspondence analysis has many uses in social science research as well,as is demonstrated in this paper. We first illustrate the result that canonical correspondenceanalysis of an indicator matrix, restricted to be related an external categorical variable, reducesto a simple correspondence analysis of a set of concatenated (or stacked ) tables. Then weshow how canonical correspondence analysis can be used to focus on, or partial out, aparticular set of response categories in sample survey data. For example, the method can beused to partial out the influence of missing responses, which usually dominate the results of amultiple correspondence analysis.

Need of reduced and harmonized bureaucracy in multi-centre clinical research - a case-report from a Swiss trial

Introduction: We launched an investigator-initiated study (ISRCTN31181395) to evaluate the potential benefit of pharmacokinetic-guided dosage individualization of imatinib for leukaemiapatients followed in public and private sectors. Following approval by the research ethics committee (REC) of the coordinating centre, recruitment throughout Switzerland necessitatedto submit the protocol to 11 cantonal RECs.Materials and Methods: We analysed requirements and evaluation procedures of the 12 RECs with associated costs.Results: 1-18 copies of the dossier, in total 4300 printed pages, were required (printing/posting costs: ~300 CHF) to meet initial requirements. Meeting frequencies of RECs ranged between 2 weeks and 2 months, time from submission to fi rst feedback took 2-75 days. Study approval was obtained from a chairman, a subor the full committee, the evaluation work being invoiced by0-1000 CHF (median: 750 CHF, total: 9200 CHF). While 5 RECs gave immediate approval, the other 6 rose in total 38 queries before study release, mainly related to wording in the patient information, leading to 7 different fi nal versions approved. Submission tasks employed an investigator half-time over about 6 months.Conclusion: While the necessity of clinical research evaluation by independent RECs is undisputed, there is a need of further harmonization and cooperation in evaluation procedures. Current administrative burden is indeed complex, time-consuming and costly. A harmonized electronic application form, preferably compatible with other regulatory bodies and European countries, could increase transparency, improve communication, and encourage academic multi-centre clinical research in Switzerland.

Research News, Summer 2007

Newsletter of the Iowa Department of Transportation's Research and Technology Bureau

State capacity and military conflict

In 1500, Europe was composed of hundreds of statelets and principalities, with weak central authority,no monopoly over the legitimate use of violence, and overlapping jurisdictions. By 1800, only ahandful of powerful, centralized nation states remained. We build a model that explains both the emergenceof capable states and growing divergence between European powers. We argue that the impactof war was crucial for state building, and depended on: i) the financial cost of war, and ii) a country sinitial level of domestic political fragmentation. We emphasize the role of the "Military Revolution",which raised the cost of war. Initially, this caused more cohesive states to invest in state capacity, whilemore divided states rationally dropped out of the competition, causing divergence between Europeanstates. As the cost of war escalated further, all states engaged in a "race to the top" towards greater statebuilding.

The Soil and Water Assessment Tool:Historical Development, Applications, and Future Research Directions, 2007

The Soil and Water Assessment Tool (SWAT) model is a continuation of nearly 30 years of modeling efforts conducted by the U.S. Department of Agriculture (USDA), Agricultural Research Service. SWAT has gained international acceptance as a robust interdisciplinary watershed modeling tool, as evidenced by international SWAT conferences, hundreds of SWAT-related papers presented at numerous scientific meetings, and dozens of articles published in peer-reviewed journals. The model has also been adopted as part of the U.S. Environmental Protection Agency’s BASINS (Better Assessment Science Integrating Point & Nonpoint Sources) software package and is being used by many U.S. federal and state agencies, including the USDA within the Conservation Effects Assessment Project. At present, over 250 peer-reviewed, published articles have been identified that report SWAT applications, reviews of SWAT components, or other research that includes SWAT. Many of these peer-reviewed articles are summarized here according to relevant application categories such as streamflow calibration and related hydrologic analyses, climate change impacts on hydrology, pollutant load assessments, comparisons with other models, and sensitivity analyses and calibration techniques. Strengths and weaknesses of the model are presented, and recommended research needs for SWAT are provided.

Research joint ventures in an international economy

D'Aspremont and Jacquemin's (1988) model is extended to studyalternative configurations of research agreements in a two--country integratedworld economy. Under unambiguous conditions on spillovers we show that:1) Allowing national firms to cooperate in R\&D confers them an advantageover foreign rivals, an effect similar to R\&D subsidies. 2) In a policygame, each government would allow national cooperative agreements. 3) Contraryto other trade policies which lead to a ``prisoners' dilemma'' result,welfare in both countries increases when they both allow R\&D cooperation.4) Welfare is even higher if a generalized (international) coalition isformed.