868 resultados para Project 2004-021-A : Building Research Innovation Technology and Environment


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Responsible Research Data Management (RDM) is a pillar of quality research. In practice good RDM requires the support of a well-functioning Research Data Infrastructure (RDI). One of the challenges the research community is facing is how to fund the management of research data and the required infrastructure. Knowledge Exchange and Science Europe have both defined activities to explore how RDM/RDI are, or can be, funded. Independently they each planned to survey users and providers of data services and on becoming aware of the similar objectives and approaches, the Science Europe Working Group on Research Data and the Knowledge Exchange Research Data expert group joined forces and devised a joint activity to to inform the discussion on the funding of RDM/RDI in Europe.

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This checklist highlights key questions for institutions that are considering their online learning provision and relates to the Jisc Scaling up online learning technology and tools for online learning guide.

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Contemporary research aims to investigate background factors that contribute to successful sport performance. Of these factors the psychological well-being and mental health status should be underlined that have gained a significant role, particularly in the frames of sport psychological counseling. The aim of the present study is to seek for interrelations of psychological variables and sport performance of young athletes, and to reveal what advantages might be utilized in younger ages to strengthen sport performance. No gender differences were found in sport performance; while age showed significant difference. The findings indicated differences of the investigated psychological variables by age and gender. Regression analyses were employed to test how psychological factors predict successful sport performance. The analyses strengthened the role of age and gender specific factors that should be considered during sport psychological counseling. The benefits should be highlighted in young age in order to ensure more successful performance in adulthood.

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The paper describes the latest change in the research on social and economic development of states. This change is characterized mainly by a strong emphasis put on the role of institutions as key instruments of reducing the development gap between countries. It is argued that in the years after 1989 institutions have disappeared from mainstream academia and major intellectual debates because of: (1) the widespread belief in global convergence of capitalism and (2) the modernization theory which prevailed in the social science in the 1990s. The article indicates that institutions were once again brought into focus as a result of (1) a wider debate about the institutional sources of growth and development sparked by Acemoglu and Robinson’s Why Nations Fail, (2) the beginning of the global economic crisis of 2008 triggered by the fall of American investment bank Lehman Brothers (3) diversified consequences of the economic crisis seen all over Europe and the USA which illustrate (4) the institutional varieties of capitalism.

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Paper based on the report for the unit on “Sociology of New Information Technologies” at the MSc Industrial Management and Engineering at the Universidade Nova Lisbon, Faculty of Sciences and Technology, under supervision of Prof. António B. Moniz. The report had the support from the ERASMUS program.

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Background: This paper is a commentary to a debate article entitled: "Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research", by Billieux et al. (2015). Methods and aim: This brief response focused on the necessity to better characterize psychological and related neurocognitive determinants of persistent deleterious actions associated or not with substance utilization. Results: A majority of addicted people could be driven by psychological functional reasons to keep using drugs, gambling or buying despite the growing number of related negative consequences. In addition, a non-negligible proportion of them would need assistance to restore profound disturbances in basic learning processes involved in compulsive actions. Conclusions: The distinction between psychological functionality and compulsive aspects of addictive behaviors should represent a big step towards more efficient treatments.

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“Knowing the Enemy: Nazi Foreign Intelligence in War, Holocaust and Postwar,” reveals the importance of ideologically-driven foreign intelligence reporting in the wartime radicalization of the Nazi dictatorship, and the continued prominence of Nazi discourses in postwar reports from German intelligence officers working with the U.S. Army and West German Federal Intelligence Service after 1945. For this project, I conducted extensive archival research in Germany and the United States, particularly in overlooked and files pertaining to the wartime activities of the Reichssicherheitshauptamt, Abwehr, Fremde Heere Ost, Auswärtiges Amt, and German General Staff, and the recently declassified intelligence files pertaining to the postwar activities of the Gehlen Organization, Bundesnachrichtendienst, and Foreign Military Studies Program. Applying the technique of close textual analysis to the underutilized intelligence reports themselves, I discovered that wartime German intelligence officials in military, civil service, and Party institutions all lent the appearance of professional objectivity to the racist and conspiratorial foreign policy beliefs held in the highest echelons of the Nazi dictatorship. The German foreign intelligence services’ often erroneous reporting on Great Britain, the Soviet Union, the United States, and international Jewry simultaneously figured in the radicalization of the regime’s military and anti-Jewish policies and served to confirm the ideological preconceptions of Hitler and his most loyal followers. After 1945, many of these same figures found employment with the Cold War West, using their “expertise” in Soviet affairs to advise the West German Government, U.S. Military, and CIA on Russian military and political matters. I chart considerable continuities in personnel and ideas from the wartime intelligence organizations into postwar West German and American intelligence institutions, as later reporting on the Soviet Union continued to reproduce the flawed wartime tropes of innate Russian military and racial inferiority.

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Purpose: To evaluate the immunogenicity and types of immune response of a quality-controlled modified recombinant hepatitis B surface antigen (HBsAg) plasmid encoding HBsAg in mice. Methods: The characterized plasmid DNA was used in the immunization of Balb/c mice. Three groups of mice were intramuscularly injected with three different concentrations (50, 25 and 10 μg/100 μL) of the modified plasmid. Humoral immune response was monitored by enzyme-linked immunosorbent assay (ELISA), while cellular immune response was investigated by analysis of spleen cytokine profile (TNFα, IFN γ and IL2) as well as CD69 expression level in CD4 and CD8 positive cells. Results: In general, the activated CD4 cells showing intracellular cytokines were higher than CD8 positive population of cells (p < 0.05). These findings indicate that the vaccine induced both a humoral and cellular immunity. Cytokine profile also showed high levels of TNFα, IFN γ and IL2 and CD69 expression in the group of animals immunized at a dose of 10 μg when compared to control group (p < 0.05). Conclusion: A 10 μg dose intramuscular injection of the modified DNA-based vaccine encoding HBsAg in mice induces both high humoral and cellular immune responses.

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Dans l’Antiquité, la recherche sur la technique permet les premières réalisations de dispositifs ingénieux, tels que des appareils qui accomplissent une série d’actions par le biais de stimulus externes et de mécanismes cachés. Les organismes politiques et religieux saisissent rapidement la puissance communicative de ces machines, en devenant les promoteurs et patrons privilégiés de leur production. L’Empire sassanide (224-650) ne constitue pas une exception. En effet, les souverains perses consacrent, au moins à l’époque tardive, une grande attention à la conception et au déploiement de dispositifs savants. De même, un siècle plus tard, dans le milieu du califat islamique, les Abbassides (750-1258) semblent s’entourer de tels dispositifs. La continuité entre les deux empires dans plusieurs domaines, de la théorie politique à l’administration, est bien connue. Cependant, la question de la réutilisation du patrimoine technique et scientifique ancien, et notamment sassanide, par la cour abbasside, demeure encore largement inexplorée. L’étude d’un corpus de sources, aussi vaste qu’hétérogène, rassemblant des ouvrages historiographiques, géographiques, poétiques et d’adab, ainsi que des traités scientifiques et techniques en plusieurs langues, permet d’analyser différents aspects de la production et de l’usage politique des machines. Au sein de la cour sassanide, comme de la cour abbasside, la machine s’avère constituer un véhicule préférentiel de représentation et de diffusion de l’idéologie politique. À travers sa mise en scène publique, elle contribue de manière substantielle à la définition de l’espace du pouvoir, en participant à la création d’une image de la cour comme un microcosme au cœur duquel le Roi des rois, et plus tard le calife, occupaient le rôle cardinal de maître incontesté du monde. La continuité entre les empires sassanide et abbasside dans le domaine technique ne se limite donc pas à une récupération de savoirs, mais s’opère aussi sous la forme d’une véritable réactivation d’un patrimoine symbolique

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Although the debate of what data science is has a long history and has not reached a complete consensus yet, Data Science can be summarized as the process of learning from data. Guided by the above vision, this thesis presents two independent data science projects developed in the scope of multidisciplinary applied research. The first part analyzes fluorescence microscopy images typically produced in life science experiments, where the objective is to count how many marked neuronal cells are present in each image. Aiming to automate the task for supporting research in the area, we propose a neural network architecture tuned specifically for this use case, cell ResUnet (c-ResUnet), and discuss the impact of alternative training strategies in overcoming particular challenges of our data. The approach provides good results in terms of both detection and counting, showing performance comparable to the interpretation of human operators. As a meaningful addition, we release the pre-trained model and the Fluorescent Neuronal Cells dataset collecting pixel-level annotations of where neuronal cells are located. In this way, we hope to help future research in the area and foster innovative methodologies for tackling similar problems. The second part deals with the problem of distributed data management in the context of LHC experiments, with a focus on supporting ATLAS operations concerning data transfer failures. In particular, we analyze error messages produced by failed transfers and propose a Machine Learning pipeline that leverages the word2vec language model and K-means clustering. This provides groups of similar errors that are presented to human operators as suggestions of potential issues to investigate. The approach is demonstrated on one full day of data, showing promising ability in understanding the message content and providing meaningful groupings, in line with previously reported incidents by human operators.

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Our study focused on Morocco investigating the dissemination of PBs amongst farmers belonging to the first pillar of the GMP, located in the Fès-Meknès region. As well as to assess how innovation adoption is influenced by the network of relationships that various farmers are involved in. We adopted an “ego network” approach to identify the primary stakeholders responsible for the diffusion of PBs. We collected data through “face-to-face” interviews with 80 farmers in April and May 2021. The data were processed with the aim of: 1) analysing the total number of main and specific topics discussed between egos and egos’ alters regarding the variation of some egos attributes; 2) analysing egos’ network characteristics using E-Net software, and 3) identifying the significant variables that influence farmers to access knowledge, use and reuse of PBs a Binary Logistic Regression (LR) was applied. The first result disclosed that the main PBs topics discussed were technical positioning, the need to use PBs, knowledge of PBs, and organic PBs. We noted that farmers have specific features: they have a high school diploma and a bachelor's degree; they are specialised in fruits and cereals farming, and they are managers and members of a professional organisation. The second result showed results of SNA: 1) PBs seem to become generally a common argument for farmers who have already exchanged fertiliser information with their alters; 2) we disclosed a moderate heterogeneity in the networks, farmers have access to information mainly from acquaintances and professionals, and 3) we revealed that networks have a relatively low density and alters are not tightly connected to each other. Farmers have a brokerage position in the networks controlling the flow of information about the PBs. LR revealed that both the farmers’ attributes and the networks’ characteristics influence growers to know, use and reuse PBs.

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The overarching goal of the proposed research was to evaluate the hydraulic performance of twenty two (22) fish-passage structures located in close proximity to bridges in western Iowa and within the HCA (Hungry Canyon Alliance) territory. Such structures include riprap weirs, fish ladders and grouted ripraps. The hydraulic performance of the aforementioned structures was evaluated via detailed field tests for a range of flow conditions relevant to fish migration through bridge waterways in different streams in western Iowa.

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We continue former work on the modeling of potential effects of Gamma Ray Bursts on Phanerozoic Earth. We focus on global biospheric effects of ozone depletion and model the spectral reduction of light by NO(2) formed in the stratosphere. We also illustrate the current complexities involved in the prediction of how terrestrial ecosystems would respond to this kind of burst. We conclude that more biological field and laboratory data are needed to reach even moderate accuracy in this modeling.