Hasil untuk "French literature - Italian literature - Spanish literature - Portuguese literature"

Benjamín Wilson León-Valle, Katty Maricela Vera Meza, José Israel Luna Encarnación

El contexto de violencia que se evidencia en la actualidad a de los medios de comunicación rebasa la racionalidad e institucionalidad de todas las esferas de la sociedad. Bourdieu se refiere a este tema como la violencia simbólica, que ha sido naturalizada a través del habitus; es decir, el sistema de disposiciones duraderas y transferibles estructuras estructuradas, predispuestas para funcionar como estructuras estructurantes que reproducen la condición del ser humano, la constante sobreexposición de este a condiciones no apropiadas y replicadas se produce su degradación, lo sugiere una resignificación de este. A fin de no repetir el ciclo de violencia en el tejido social. La investigación presenta un enfoque: cualitativo, cuantitativo, fundamentado en el método descriptivo, la técnica para la recolección de los datos; la entrevista y la encuesta, cuyos resultados evidencian que la violencia tiene una característica estructural, y que los mayores reproductores de esta es la familia, particularmente en los casos en el que el individuo se ha sometido a violencia. De modo que, si no se promueve un cambio paradigmático que contribuya a la resignificación del ser humana, la violencia se puede incrementar a niveles exponenciales.

Xavier Vasques, Renaud Richardet, Sean L Hill et al.

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human). We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision), meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com

Felipe Gomes, Thiago Mendes, Sávio Freire et al.

Background: The use of gray literature (GL) has grown in software engineering research, especially in studies that consider Questions and Answers (Q&A) sites, since software development professionals widely use them. Though snowballing (SB) techniques are standard in systematic literature reviews, little is known about how to apply them to gray literature reviews. Aims: This paper investigates how to use SB approaches on Q&A sites during gray literature reviews to identify new valid discussions for analysis. Method: In previous studies, we compiled and analyzed a set of Stack Exchange Project Management (SEPM) discussions related to software engineering technical debt (TD). Those studies used a data set consisting of 108 valid discussions extracted from SEPM. Based on this start data set, we perform forward and backward SB using two different approaches: link-based and similarity-based SB. We then compare the precision and recall of those two SB approaches against the search-based approach of the original study. Results: In just one snowballing iteration, the approaches yielded 291 new discussions for analysis, 130 of which were considered valid for our study. That is an increase of about 120% over the original data set (recall). The SB process also yielded a similar rate of valid discussion retrieval when compared to the search-based approach (precision). Conclusion: This paper provides guidelines on how to apply two SB approaches to find new valid discussions for review. To our knowledge, this is the first study that analyzes the use of SB on Q&A websites. By applying SB, it was possible to identify new discussions, significantly increasing the relevant data set for a gray literature review.

Shubham Agarwal, Gaurav Sahu, Abhay Puri et al.

Conducting literature reviews for scientific papers is essential for understanding research, its limitations, and building on existing work. It is a tedious task which makes an automatic literature review generator appealing. Unfortunately, many existing works that generate such reviews using Large Language Models (LLMs) have significant limitations. They tend to hallucinate-generate non-factual information-and ignore the latest research they have not been trained on. To address these limitations, we propose a toolkit that operates on Retrieval Augmented Generation (RAG) principles, specialized prompting and instructing techniques with the help of LLMs. Our system first initiates a web search to retrieve relevant papers by summarizing user-provided abstracts into keywords using an off-the-shelf LLM. Authors can enhance the search by supplementing it with relevant papers or keywords, contributing to a tailored retrieval process. Second, the system re-ranks the retrieved papers based on the user-provided abstract. Finally, the related work section is generated based on the re-ranked results and the abstract. There is a substantial reduction in time and effort for literature review compared to traditional methods, establishing our toolkit as an efficient alternative. Our project page including the demo and toolkit can be accessed here: https://litllm.github.io

Félix Terrones, Catherine Pélage

Alicia Martin-Navarro, Maria Paula Lechuga Sancho, Jose Aurelio Medina-Garrido

The aim of this paper is to carry out a systematic analysis of the literature to show the state of the art of Business Processes Management Systems (BPMS). BPMS represents a technology that automates business processes connecting users with their tasks. For this, a systematic review of the literature of the last ten years was carried out, using scientific papers indexed in the main databases of the knowledge area. The papers generated by the search were later analysed and filtered. Among the findings of this study, the academic interest and the multidisciplinary nature of the subject, as this type of studies have been identified in different areas of knowledge. Our research is a starting point for future research eager to develop a more robust theory and broaden the interest of the subject due its economic impact on process management.

Hongrui Gao, Yawen Li, Meiyu Liang et al.

Because most of the scientific literature data is unmarked, it makes semantic representation learning based on unsupervised graph become crucial. At the same time, in order to enrich the features of scientific literature, a learning method of semantic representation of scientific literature based on adaptive features and graph neural network is proposed. By introducing the adaptive feature method, the features of scientific literature are considered globally and locally. The graph attention mechanism is used to sum the features of scientific literature with citation relationship, and give each scientific literature different feature weights, so as to better express the correlation between the features of different scientific literature. In addition, an unsupervised graph neural network semantic representation learning method is proposed. By comparing the mutual information between the positive and negative local semantic representation of scientific literature and the global graph semantic representation in the potential space, the graph neural network can capture the local and global information, thus improving the learning ability of the semantic representation of scientific literature. The experimental results show that the proposed learning method of semantic representation of scientific literature based on adaptive feature and graph neural network is competitive on the basis of scientific literature classification, and has achieved good results.

Kelly Blincoe, Markus Luczak-Roesch, Tim Miller et al.

This article summarizes the literature on trust of digital technologies from a human-centric perspective. We summarize literature on trust in face-to-face interactions from other fields, followed by a discussion of organizational trust, technology-mediated trust, trust of software products, trust of AI, and blockchain. This report was created for the Science for Technological Innovation Veracity Spearhead supported by New Zealand's National Science Challenges.

Poompak Kusawat, Surat Teerakapibal

Purpose: Global adoption of the internet and mobile usage results in a huge variation in the cultural backgrounds of consumers who generate and consume electronic word-of-mouth (eWOM). Unsurprisingly, a research trend on cross-cultural eWOM has emerged. However, there has not been an attempt to synthesize this research topic. This paper aims to bridge this gap. Methodology: This research paper conducts a systematic literature review of the current research findings on cross-cultural eWOM. Journal articles published from 2006 to 2021 are included. This study then presents the key issues in the extant literature and suggests potential future research. Findings: The findings show that there has been an upward trend in the number of publications on cross-cultural eWOM since the early 2010s, with a relatively steeper increase toward 2020. The findings also synthesize cross-cultural eWOM research into four elements and suggest potential future research avenues. Value: To the best of the authors' knowledge, there is currently no exhaustive/integrated review of cross-cultural eWOM research. This research fills the need to summarize the current state of cross-cultural eWOM literature and identifies research questions to be addressed in the future.

Rhimi, Mohamed Lamine

In this work, we will mainly focus on Edouard Glissant’s archipelago aesthetics. Indeed, the West Indian novelist-orator uses in La Lézarde (1958) and Malemort (1975) a kind of rhetoric which reflects not only the history of the slave trade, but also the Caribbean island landscape. This is how the writer cultivates Caribbean ethnopoetics, without falling into the trap of standardisation or reductionism. In others words, the fiery indictment that the writer has drawn up against the oppressors is inextricably linked to a plea made to defend the cause of West Indian culture, by exhorting the Caribbean people to recover their historical memory and to take their destiny into their own hands. It is specifically in that context that the Edouard Glissant’s romantic epic and sublime beauty are fully in line with his archipelago aesthetics.

Qingyu Chen, Jingcheng Du, Alexis Allot et al.

The rapid growth of biomedical literature poses a significant challenge for curation and interpretation. This has become more evident during the COVID-19 pandemic. LitCovid, a literature database of COVID-19 related papers in PubMed, has accumulated over 180,000 articles with millions of accesses. Approximately 10,000 new articles are added to LitCovid every month. A main curation task in LitCovid is topic annotation where an article is assigned with up to eight topics, e.g., Treatment and Diagnosis. The annotated topics have been widely used both in LitCovid (e.g., accounting for ~18% of total uses) and downstream studies such as network generation. However, it has been a primary curation bottleneck due to the nature of the task and the rapid literature growth. This study proposes LITMC-BERT, a transformer-based multi-label classification method in biomedical literature. It uses a shared transformer backbone for all the labels while also captures label-specific features and the correlations between label pairs. We compare LITMC-BERT with three baseline models on two datasets. Its micro-F1 and instance-based F1 are 5% and 4% higher than the current best results, respectively, and only requires ~18% of the inference time than the Binary BERT baseline. The related datasets and models are available via https://github.com/ncbi/ml-transformer.

Attila Varga

It is a matter of debate whether a shrinking proportion of scholarly literature is getting most of the references over time. It is also less well understood how a narrowing literature usage would affect the circulation of ideas in the sciences. Here we show, that the utilization of scientific literature follows dual tendencies over time: while a larger proportion of literature is cited at least a few times, citations are also concentrating more on the top of the citation distribution. Parallel to the latter trend, a paper's future importance increasingly depends on its past citation performance. A random network model shows that the citation concentration is directly related to the greater stability of citation performance. The presented evidence suggests that the growing heterogeneity of citation impact restricts the mobility of research articles that do not gain attention early on. While concentration grows from the beginning of the studied period in 1970, citation dispersion manifest itself significantly only from the mid-1990s when the popularity of freshly published papers has also risen. Most likely, advanced information technologies to disseminate papers are behind both of these latter trends.

Spangle Durac, Claude Merker, Stefan Neuwirth

This article gives an account of a teaching experience carried out from 2008 to 2021 at the university of Franche-Comt{é} as an answer to the ministerial command of proposing cross-disciplinary courses in the curricula. The goal of the experience was to develop simultaneously a discourse on mathematics and a discourse on literature, two independent discourses, but each filled with the gap between one domain and the other and mindful of the flashes of thought that are lightening from one to the other, witnesses of unity in their reasoning. -- Cet article rend compte d'une exp{é}rience d'enseignement men{é}e de 2008 {à} 2012 {à} l'universit{é} de Franche-Comt{é} en r{é}ponse {à} l'injonction minist{é}rielle de proposer des unit{é}s transversales dans les maquettes de dipl{ô}me. Le but de cette exp{é}rience a {é}t{é} de d{é}velopper {à} la fois un discours sur les math{é}matiques et un discours sur la litt{é}rature, deux discours ind{é}pendants, mais chacun rempli de l'{é}cart entre l'un des domaines et l'autre, et attentif aux {é}clairs de la pens{é}e qui jaillissent de l'un vers l'autre, t{é}moignages d'unit{é} dans la d{é}marche intellectuelle.

Clara Manco

Although gambling is traditionally associated with homosocial competition and with the prestige of the aristocratic ethos, Restoration comedies abound with examples of marginal characters at the gambling table. This article explores the symbolic implications of these marginal gamblers in plays written and produced during the reigns of Charles II and James II. These characters, whether they be women or comic butts, show us to what extent gambling constitutes a moment of suspension, or even of renegociation of theatrical, social and political hierarchies, ranging from brief moments of carnivalesque relief to genuine revenge of the weak over the powerful.

Stella Mangiapane

This article is the first of two articles about the genesis of the sequence describing the “amas d’armes” that Herod Antipas hides in the citadel of Machærous, in chapter II of Hérodias. The “scenarios” show the multiple variations which affect the conception and the first programming of the passage while the writer reasons on the diegetic role that the sequence must play in the organization of the story and on the literary form it will take. 

Antonio Jimeno Yepes, Xu Zhong, Douglas Burdick

Scientific literature contain important information related to cutting-edge innovations in diverse domains. Advances in natural language processing have been driving the fast development in automated information extraction from scientific literature. However, scientific literature is often available in unstructured PDF format. While PDF is great for preserving basic visual elements, such as characters, lines, shapes, etc., on a canvas for presentation to humans, automatic processing of the PDF format by machines presents many challenges. With over 2.5 trillion PDF documents in existence, these issues are prevalent in many other important application domains as well. Our ICDAR 2021 Scientific Literature Parsing Competition (ICDAR2021-SLP) aims to drive the advances specifically in document understanding. ICDAR2021-SLP leverages the PubLayNet and PubTabNet datasets, which provide hundreds of thousands of training and evaluation examples. In Task A, Document Layout Recognition, submissions with the highest performance combine object detection and specialised solutions for the different categories. In Task B, Table Recognition, top submissions rely on methods to identify table components and post-processing methods to generate the table structure and content. Results from both tasks show an impressive performance and opens the possibility for high performance practical applications.

Kevin Li, Haoyang Yang, Anish Upadhayay et al.

Discovering and making sense of relevant research literature is fundamental to becoming knowledgeable in any scientific discipline. Visualization can aid this process; however, existing tools' adoption and impact have often been constrained, such as by their reliance on small curated paper datasets that quickly become outdated or a lack of support for personalized exploration. We introduce Argo Scholar, an open-source, web-based visualization tool for interactive exploration of literature and easy sharing of exploration results. Argo Scholar queries and visualizes Semantic Scholar's live data of almost 200 million papers, enabling users to generate personalized literature exploration results in real-time through flexible, incremental exploration, a common and effective method for researchers to discover relevant work. Our tool allows users to easily share their literature exploration results as a URL or web-embedded IFrame application. Argo Scholar is open-sourced and available at https://poloclub.github.io/argo-scholar/.

AKM Bahalul Haque, AKM Najmul Islam, Sami Hyrynsalmi et al.

Although blockchain-based digital services promise trust, accountability, and transparency, multiple paradoxes between blockchains and GDPR have been highlighted in the recent literature. Some of the recent literature also proposed possible solutions to these paradoxes. This article aims to conduct a systematic literature review on GDPR compliant blockchains and synthesize the findings. In particular, the goal was to identify 1) the GDPR articles that have been explored in prior literature; 2) the relevant research domains that have been explored, and 3) the research gaps. Our findings synthesized that the blockchains relevant GDPR articles can be categorized into six major groups, namely data deletion and modification (Article 16, 17, and 18), protection by design by default (Article 25), responsibilities of controllers and processors (Article 24, 26, and 28), consent management (Article 7), data processing principles and lawfulness (Article 5,6 and 12), and territorial scope (Article 3). We also found seven research domains where GDPR compliant blockchains have been discussed, which include IoT, financial data, healthcare, personal identity, online data, information governance, and smart city. From our analysis, we have identified a few key research gaps and present a future research direction.

R. M. Couto, Giulia Osório Santana, O. Ranzani et al.

Background: Little is known about Zoonotic tuberculosis (zTB) burden across the globe. We aimed to describe zTB surveillance programs in WHO signatory countries, evaluating its intersection with income levels and Mycobacterium bovis risk of transmission. Methods: For this systematic review, we searched the main articles databases and also gray literature for guides documents published between 1980 and 2019. For inclusion, the articles and guides documents had to be in English, French, Portuguese, Spanish or Italian. Only original articles, narrative and systematic reviews have been accepted and the guides documents should be available at official websites. We excluded articles not focusing on epidemiology, control and surveillance. We used bovine TB cases in livestock and wildlife populations as a proxy for the country’s risk of zTB using data from the World Organization for Animal Health (OIE), from 2015 to 2018. Countries were classified according to the level of income (World Bank's classification) and strength of zTB surveillance. The study is registered with PROSPERO number CRD42018090603. Findings: We selected 13 articles and 208 guides documents including data from 119/194 countries (61·3%). We found that there is a lack of surveillance data of zTB in over half of the 194 WHO signatory countries, and where it exists, is concentrated in countries where the risk of zTB is lower. Majority of surveillance systems perform passive surveillance and are not integrated into the One Health perspective, which was evidenced in 4/119 (3·4%) countries, all high-income. Interpretation: Our findings highlights weaknesses in ZTB surveillance worldwide which reflects lack of information that could support an adequate understanding of its burden, especially in countries with major risk for Mycobacterium bovis transmission. To face this challenge, efforts will be needed to promote intersectoral policies, implementing the One Health strategy. Funding Statement: This study was supported by the National Council for Scientific and Technological Development (CNPq), the Coordination for the Improvement of Higher Education Personnel (CAPES) and Sara Borrell grant from the Instituto de Salud Carlos III (CD19/00110). Declaration of Interests: The authors declare that they have no competing interests.

Daniela Lauria

En este artículo se analiza, desde el enfoque glotopolítico, una serie de cuatro obras lexicográficas monolingües del español de la Argentina publicadas entre 1890 y 1903, que se agrupan en la categoría “diccionarios de barbarismos”. Se trata de instrumentos lingüísticos que se arrogan un carácter prescriptivo puesto que incluyen y, por extensión, excluyen ciertos usos y determinados vocablos, además de describir, calificar y valorar las divergencias léxicas entre el uso americano (por caso el argentino) y el peninsular en el momento de mayor auge del movimiento migratorio masivo que ingresó al país. A grandes rasgos, estos instrumentos lingüísticos dan cuenta de barbarismos, neologismos y extranjerismos y censuran su uso, tomando como parámetro la norma del castellano de Madrid. Aquí se argumenta que dichos dispositivos exponen sistemas de valores y concepciones dominantes sobre la lengua, que exceden ampliamente el ámbito de lo estrictamente lingüístico.