797,358 research outputs found

    Analytical study of contents of LANL physics and cross-listed e-print archives, 1994-2002

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    The frontiers of physics and cross-listed e-print archives posted during the years 1994-2002 at http://www.arxiv.org/archives/physics web service of Los Alamos National Laboratory (LANL) are explored from 7770 submissions. E-print archives posted to top most six physics-cross-listed research categories besides physics (5390) are: Condensed matter (754), Quantum physics (279), Astrophysics (222), Chemical physics (129), High energy physics - Phenomenology (118), and High energy physics-Theory (100). Prominent contributors are B.G. Sidharth (India), V.V. Flambaum (Australia), Antonina N. Fedorova (Russia), and Michael G. Zeitlin (Russia). Most preferred journals for rechannelising e-print archives are Physical Review Letters, Physical Review A, Physical Review E, Nuclear Instruments and Methods A, and Journal of Chemical Physics

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Cross-Cultural Meta-Analyses

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    In the enormous collection of cross-cultural data that have been published during the last few decades it is difficult to perceive patterns. There is a clear need for systematizing the vast amount of cross-cultural studies and for developing models that explain cross-cultural differences in psychology. Two methods of cross-cultural meta-analysis can be distinguished. First, the instrument-based method of comparing data for one instrument across countries is suitable for instruments which have been administered in many countries. Second, a domain-based meta-analysis used a thematic domain from which culture-comparative studies are sampled instead of one specific instrument or method

    Europa creativa 2021-2027: innovazione e cross-settorialità per le ICC

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    la cross settorialità nell'industria culturale e l'innovazione sono tra le priorità del partenariato transnazionale per la programmazione di europa creativa 2021 202

    Cross-linking del collagene corneale e biomeccanica delle cornee

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    L'obiettivo principale del progetto consiste nell'ultilizzare il cross-linking del collagene corneale per un uovo approccio alle patologie che provocano una ridotta resitenza biomeccanica della cornea.Una varietà di condizioni primarie, quali cheratocono e degenerazione marginale pellucida, o secondarie, quali ectasia iatrogena e post-infettiva, infatti, determinano disturbi ectastici che portano ad una ridotta resistenza biomeccanica della cornea. Il cross-linking del collagene corneale rappresenta un approccio innovativo a tali patologie in grado di evitare, in molti casi, il ricorrere a procedure di trapianto corneale (cheratoplastica perforante o lamellare). La tecnica standard viene eseguita in sala operatoria e consiste nella rimozione dell'epitelio corneale, al fine di favorire la penetrazione della sostanza fotosensibile, seguita dall'irraggiamento mediante ultravioletti a specifiche lunghezze d'onda. Il trattamento proposto dal presente progetto di ricerca prevede, al contrario, la permeazione della sostanza fotosensibile attraverso l'epitelio corneale, evitando l'intervento chirugico e le complicazioni ad esso potenzialmente associate (infezioni, cheratiti, edema, cicatrici), in grado di comportare un ulteriore abbassamento del visus ed una scarsa compliance da parte del paziente.Tale obiettivo sarà perseguito attraverso la formulazione di medical devices atti a favorire una maggiore permeazione della sostanza fotosensibile in presenza di epitelio corneale intatto attraverso l'uso di enhancer di penetrazione e/o sistemi di rilascio micro e nanoparticellari. Allo stesso tempo, data la potenziale tossicità corneale dell'irraggiamento UV-A, il progetto prevede la creazione di un protocollo di cross-linking corneale personalizzata, identificando i parametri fondamentali nella riduzione della fototossicità (intesità della radiazione, spessore della cornea, tempo di irraggiamento) e creando una nuova apparecchiatura che, sulla base dell'incidenza dei suddetti parametri sia in grado di variare potenza, intensità e durata per garantire una maggiore sicurezza ed efficacia di trattamento al paziente

    Cross domain author profiling from texts

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    Na área de processamento de língua natural, entende-se por caracterização autoral uma tarefa computacional que tem por objetivo extrair informações sociais e psicológicas dos indivíduos, como gênero e faixa etária, por meio de suas produções textuais. Modelos computacionais de caracterização autoral são comumente empregados em áreas como marketing e segurança, dentre outras. Estes modelos geralmente são de domínio único, i.e., são treinados e validados no mesmo gênero textual, o que faz com que sua portabilidade para outros gêneros seja limitada. Em contrapartida aos modelos de domínio único, modelos interdomínio, que são validados em gêneros textuais diferentes dos que foram treinados, podem ser uma alternativa para casos em que não há dados suficientes para o treinamento de um modelo computacional. Um exemplo seria a utilização de dados do Twitter (domínio que dispõem de grande volume de dados) para o desenvolvimento de modelos de caracterização autoral a serem utilizados em e-mails, domínio onde é mais difícil obter um volume de dados suficiente para o treinamento dos modelos. O presente trabalho apresenta uma proposta de pesquisa em nível de mestrado na área de processamento de língua natural, com ênfase em caracterização autoral, com o objetivo geral de desenvolver modelos de aprendizagem de máquina supervisionada baseados em redes neurais artificiais para a tarefa de caracterização autoral interdomínio, de modo a se obter uma alternativa robusta aos modelos de domínio único, com perda de acurácia reduzida se comparada a modelos equivalentes baseados em domínio únicoIn the area of natural language processing, author profiling is a computational task that aims to extract social and psychological information from individuals, such as gender and age group, through their textual productions. Computational models of author profiling are commonly used in areas such as marketing and security, among others. These models are usually based on a single domain, i.e., they are trained and validated in the same domain, which makes their portability to other domains limited. In contrast to single domain models, cross-genre models, which are validated in different domains than those on which they were trained, may be an alternative for cases in which there is not enough data for training a computational model. An example would be the use of Twitter data (a domain that has a large amount of data) for the development of author profiling models to be used in e-mails, a domain in which it is more difficult to obtain a sufficient amount of data for the training of the models. The present work introduces a proposal for a MSc research in the area of natural language processing, focused on author profiling, with the general objective of developing supervised machine learning models based on artificial neural networks for the task of cross-genre author profiling, in order to obtain a robust alternative to single domain models, with reduced loss of precision compared to equivalent cross-genre model

    Letter from Virginia E. Cross (Mrs. Philip Cross) to John Sloan, 1935

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    1 leaf (double-sided)Letter from Virginia E. Cross (Mrs. Philip Cross) to John Sloan, 193

    Letter from Virginia E. Cross (Mrs. Philip Cross) to John Sloan, March 22, 1935

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    1 leaf (double-sided)Letter from Virginia E. Cross (Mrs. Philip Cross) to John Sloan, March 22, 193

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Assessment of the cross-protective capability of recombinant capsid proteins derived from pig, rat, and avian hepatitis E viruses (HEV) against challenge with a genotype 3 HEV in pigs

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    Hepatitis E virus (HEV), the causative agent of hepatitis E, is primarily transmitted via the fecal-oral route through contaminated water supplies, although many sporadic cases of hepatitis E are transmitted zoonotically via direct contact with infected animals or consumption of contaminated animal meats. Genotypes 3 and 4 HEV are zoonotic and infect humans and other animal species, whereas genotypes 1 and 2 HEV are restricted to humans. There exists a single serotype of HEV, although the cross-protective ability among the animal HEV strains is unknown. Thus, in this study we expressed and characterized N-terminal truncated ORF2 capsid antigens derived from swine, rat, and avian HEV strains and evaluated their cross-protective ability in a pig challenge model. Thirty, specific-pathogen-free, pigs were divided into 5 groups of 6 pigs each, and each group of pigs were vaccinated with 200 μg of swine HEV, rat HEV, or avian HEV ORF2 antigen or PBS buffer (2 groups) as positive and negative control groups. After a booster dose immunization at 2 weeks post-vaccination, the vaccinated animals all seroconverted to IgG anti-HEV. At 4 weeks post-vaccination, the animals were intravenously challenged with a genotype 3 mammalian HEV, and necropsied at 4 weeks post-challenge. Viremia, fecal virus shedding, and liver histological lesions were compared to assess the protective and cross-protective abilities of these antigens against HEV challenge in pigs. The results indicated that pigs vaccinated with truncated recombinant capsid antigens derived from three animal strains of HEV induced a strong IgG anti-HEV response in vaccinated pigs, but these antigens confer only partial cross-protection against a genotype 3 mammalian HEV. The results have important implications for the efficacy of current vaccines and for future vaccine development, especially against the novel zoonotic animal strains of HEV
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