1,936 research outputs found

    Species- and organ-specificity of secretory proteins derived from human prostate and seminal vesicles

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    Polyclonal antibodies against semenogelin (SG) isolated from human seminal vesicle secretion and acid phosphatase (PAP), β‐microseminoprotein (β‐MSP), and Prostate‐Specific Antigen (PSA) derived from human prostatic fluid, as well as a monoclonal antibody against β‐MSP were used for immunocytochemical detection of the respective antigens in different organs from different species. SG immunoreactivity was detected in the epithelium of the pubertal and adult human and in monkey seminal vesicle, ampulla of the vas deferens, and ejaculatory duct. PAP, β‐MSP, and PSA immunoreactivities were detected in the pubertal and adult human prostate and the cranial and caudal monkey prostate. With the exception of a weak PSA immunoreactivity in the proximal portions of the ejaculatory duct, none of the latter antisera reacted with seminal vesicle, ampullary, and ejaculatory duct epithelium. Among the non‐primate species studied (dog, bull, rat, guinea pig) only the canine prostatic epithelium displayed a definite immunoreactivity with the PAP antibody and a moderate reaction with the PSA antibody. No immunoreaction was seen in bull and rat seminal vesicle and canine ampulla of the vas deferens with the SG antibody. The same was true for the (ventral) prostate of rat, bull, and dog for β‐MSP. The epithelium of the rat dorsal prostate showed a slight cross‐reactivity with the monoclonal antibody against β‐MSP and one polyclonal antibody against PSA. The findings indicate a rather strict species‐dependent expression of human seminal proteins which show some similarities in primates, but only marginal relationship to species with different physiology of seminal fluid

    Rethinking impact: Understanding the complexity of poverty and change - overview

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    The international workshop 'Rethinking Impact: Understanding the Complexity of Poverty and Change' (Cali, Colombia, 26-28 March 2008) explored the challenges inherent in evaluating agricultural research-for-development efforts, identifying lessons and approaches for sustainably improving livelihoods. Use-oriented research which links knowledge with action has greater welfare and development impacts. Researchers must help to link diverse stakeholders in order to create and share knowledge for effective, sustainable action. The legitimacy of such boundary-spanning work needs to be recognised and rewarded, and sufficient resources dedicated to it. Traditional economic-impact assessment does little justice to complex poverty-related activities, which require a diversity of methods and enhanced capacity

    Architectural support for probabilistic branches

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    A plethora of research efforts have focused on fine-tuning branch predictors to increasingly higher levels of accuracy. However, several important optimization, financial, and statistical data analysis algorithms rely on probabilistic computation. These applications draw random values from a distribution and steer control flow based on those values. Such probabilistic branches are challenging to predict because of their inherent probabilistic nature. As a result, probabilistic codes significantly suffer from branch mispredictions. This paper proposes Probabilistic Branch Support (PBS), a hardware/software cooperative technique that leverages the observation that the outcome of probabilistic branches needs to be correct only in a statistical sense. PBS stores the outcome and the probabilistic values that lead to the outcome of the current execution to direct the next execution of the probabilistic branch, thereby completely removing the penalty for mispredicted probabilistic branches. PBS relies on marking probabilistic branches in software for hardware to exploit. Our evaluation shows that PBS improves MPKI by 45% on average (and up to 99%) and IPC by 6.7% (up to 17%) over the TAGE-SC-L predictor. PBS requires 193 bytes of hardware overhead and introduces statistically negligible algorithmic inaccuracy

    Rethinking impact: understanding the complexity of poverty and change

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    This paper presents six key issues from the Rethinking Impact: Understanding the complexity of poverty and change Workshop (RIW) held in Cali, Colombia, March 28, 2008. The workshop discussed how agricultural and natural-resources research can be more effective in generating solutions for poverty alleviation and improving gender, social inclusion and equity, and how such research can be brought into the mainstream and how its impact can be assessed. A diverse group of over 60 participants (42% women) from 33 organizations (54% CGIAR and 46% non-CGIAR) attended the meeting. In this paper, we do not purport to represent a consensus of opinion among this diverse group, but rather our perspectives as the meeting organizers. These â take home messages were informed by an active dialogue before, during and after the meeting. We are associated most closely with the CGIAR and much of the discussion at the meeting was focused on the CGIAR. Therefore, the key issues are primarily oriented toward the CGIAR, but they would certainly be relevant to other organizations with similar goals and challenges

    Highlighting broad-scale morphometric diversity of the seabed using geomorphons

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    Morphometric diversity is an important component of overall seabed geodiversity. Automated methods for classification of morphometric features (ridges, peaks, valleys etc.) provide a convenient way of classifying large volumes of data in a consistent and repeatable way and a basis for assessing morphometric diversity. Here, we apply ‘geomorphons’, a pattern recognition approach to morphometric feature classification, to 100 m resolution multibeam bathymetry data in the Barents and Norwegian Seas, Norway. The study area spans depths from a few metres to nearly 6000 m across several geological settings. Ten unique morphometric features are delineated by the geomorphon analysis. From these results, we compute the variety of features per 10 km2. This simple ‘geomorphon richness’ measure highlights broad-scale morphometric diversity across the study area. We compare the richness results with terrain attributes and across physiographic regions. Our results provide new regional insights, which together with more detailed information will help guide follow-up surveys as well as identifying diversity hotspots, which may require special management

    CD8+ cell somatic mutations in multiple sclerosis patients and controls-Enrichment of mutations in STAT3 and other genes implicated in hematological malignancies

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    Funding Information: This study has been financially supported by research grants from the Helsinki University Hospital, University of Helsinki, the Multiple Sclerosis Foundation of Finland, the Finnish Cultural Foundation, Biogen Finland, Sanofi- Genzyme, Roche and Novartis. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: Š 2021 Valori et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Somatic mutations have a central role in cancer but their role in other diseases such as common autoimmune disorders is not clear. Previously we and others have demonstrated that especially CD8+ T cells in blood can harbor persistent somatic mutations in some patients with multiple sclerosis (MS) and rheumatoid arthritis. Here we concentrated on CD8+ cells in more detail and tested (i) how commonly somatic mutations are detectable, (ii) does the overall mutation load differ between MS patients and controls, and (iii) do the somatic mutations accumulate non-randomly in certain genes? We separated peripheral blood CD8+ cells from newly diagnosed relapsing MS patients (n = 21) as well as matched controls (n = 21) and performed next-generation sequencing of the CD8+ cells' DNA, limiting our search to a custom panel of 2524 immunity and cancer related genes, which enabled us to obtain a median sequencing depth of over 2000x. We discovered nonsynonymous somatic mutations in all MS patients' and controls' CD8+ cell DNA samples, with no significant difference in number between the groups (p = 0.60), at a median allelic fraction of 0.5% (range 0.2- 8.6%). The mutations showed statistically significant clustering especially to the STAT3 gene, and also enrichment to the SMARCA2, DNMT3A, SOCS1 and PPP3CA genes. Known activating STAT3 mutations were found both in MS patients and controls and overall 1/5 of the mutations were previously described cancer mutations. The detected clustering suggests a selection advantage of the mutated CD8+ clones and calls for further research on possible phenotypic effects.Peer reviewe

    Delivering seabed geodiversity information through multidisciplinary mapping initiatives: experiences from Norway

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    Geology is a core component of two major multidisciplinary seabed-mapping initiatives in Norway (MAREANO, Marine Base Maps for the Coastal Zone). Helped by Norway’s Nature Diversity Act, which acknowledges geological and landscape diversity alongside biodiversity, geological information has gained recognition nationally as part of an essential foundation for knowledge-based management, both in the coastal zone and offshore. Recently, international focus on the United Nations Sustainable Development Goals has led to the proposal of Essential Geodiversity Variables, a framework for geological (geodiversity) information, intended to stand alongside Essential Variables already defined for climate, biodiversity and oceans (limited to ocean physics, biochemistry, biology, and ecosystems). Here we examine to what extent map products from the Geological Survey of Norway generated under these multidisciplinary mapping initiatives fit within this framework of Essential Geodiversity Variables and how well it is suited to information on marine geodiversity. Although we conclude that the framework is generally a good fit for the marine-relevant Essential Geodiversity Variable classes (geology and geomorphology), we examine opportunities for further highlighting quantitative geodiversity information. We present preliminary examples of substrate diversity and morphological diversity and discuss our experience of geological mapping as part of multidisciplinary initiatives. We highlight many benefits, which far outweigh any perceived or real compromises of this approach in monetary, practical and scientific terms

    Impact of participatory natural resource management research in cassava-based cropping systems in Vietnam and Thailand

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    In South-east Asia, many of the poorest farmers live in areas with limited potential for crop production. Cassava (Manihot esculenta Crantz) is an important crop on these soils, because it is easy to grow, requires few external inputs and its roots and leaves can be used as human or animal feed. Cassava is also planted as an industrial crop for the production of animal feed and starch where market conditions are developed. The wide variety of end uses makes it a popular crop and an effective vehicle for improving the livelihood of poor upland farmers

    Human capital accumulation and productivity improvements in Asian cassava systems: are participatory research approaches beneficial?

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    Recently, discussion had reemerged over the value of integrated pest and crop management training, through intensive approaches such as farmer field schools or participatory training, as a development approach (Feder et al, 2004). This paper develops a model of human capital accumulation through participatory research and tests several hypotheses on the effectiveness of this approach to increase the adoption of soil conservation and fertility management innovations and improve farm productivity in southeast Asia. Bivariate Probit models with treatment effects are estimated using full information maximum likelihood (Evans and Schwab, 1995: Trost and Lee, 1984) and covariates related to changes in land allocation and productivity, measured before project and after project intervention, are investigates. We follow Greene (1998) to control for simultaneity between adoption and impact by using the predicted adoption decision from the second set of regressions to calculate productivity differentials. Overall, we find that treatment affects associated with the participatory research activities are significant and positive in explaining the differential adoption rates of intercropping, hedgerows, contour ridging, the usage of farm yard manure and chemical fertilizer. The positive relationship between the adoption of soil conservation and fertility management techniques and participation, given very limited productivity impact, may indicated the "value" of the participatory approach to illustrate the social costs of land degradation, sensitize participants towards internalizing these costs, and demonstrate the importance of long-run strategies to preserve land productivity, or both. Secondly, we find that there are additional benefits to participatory research activities that are not embodied in the adoption of soil conservation or fertility management techniques

    SPIA review of: Impact of participatory natural resource management research in cassava-based cropping systems in Vietnam and Thailand

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    Between 1994 and 2003, the International Centre for Tropical Agriculture (CIAT), in collaboration with national agricultural research partners in Thailand and Vietnam implemented a Nippon Foundation funded project titled “Improving the Sustainability of Cassava-based Cropping Systems in Asia.” The purpose of the project was to address the problem of the observed widespread non-adoption of soil conservation and fertility management technologies in cassava production in Asia. Aside from conservation technologies such as contour lines, hedgerows and management technologies including inter cropping, use of manure and mineral fertilizer also genetic improvement technologies, i.e. improved cassava varieties were included in the project. Hence, the nature of the NRM research was that of an applied, adaptive research for already existing NRM technologies and principles but where adoption by farmers was low. Together with NARS researchers and extension agents CIAT was working with farmers in selected project villages. The “farmer participatory research” (FPR) methodology included the joint conduct of on-farm experiments to identify, test and adjust promising natural resource conservation and productivity enhancement cassava technologies. The project therefore encompassed a broader research paradigm that falls under the category of INRM as described in chapter 1.2
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