Hasil untuk "Latin America. Spanish America"

Julian Schelb, Michael Wittweiler, Marie Revellio et al.

Tracing connections between historical texts is an important part of intertextual research, enabling scholars to reconstruct the virtual library of a writer and identify the sources influencing their creative process. These intertextual links manifest in diverse forms, ranging from direct verbatim quotations to subtle allusions and paraphrases disguised by morphological variation. Language models offer a promising path forward due to their capability of capturing semantic similarity beyond lexical overlap. However, the development of new methods for this task is held back by the scarcity of standardized benchmarks and easy-to-use datasets. We address this gap by introducing Loci Similes, a benchmark for Latin intertextuality detection comprising of a curated dataset of ~172k text segments containing 545 expert-verified parallels linking Late Antique authors to a corpus of classical authors. Using this data, we establish baselines for retrieval and classification of intertextualities with state-of-the-art LLMs.

Daniel Duarte

In the 1960s, John Nash proposed a method to resolve singularities. Five decades of encouraging results could not prevent an unexpected ending: the method does not work in general. In this note (written in Spanish), we tell the story of the rise and fall of the Nash blowup.

Rumeng Li, Xun Wang, Hong Yu

Translating electronic health record (EHR) narratives from English to Spanish is a clinically important yet challenging task due to the lack of a parallel-aligned corpus and the abundant unknown words contained. To address such challenges, we propose \textbf{NOOV} (for No OOV), a new neural machine translation (NMT) system that requires little in-domain parallel-aligned corpus for training. NOOV integrates a bilingual lexicon automatically learned from parallel-aligned corpora and a phrase look-up table extracted from a large biomedical knowledge resource, to alleviate both the unknown word problem and the word-repeat challenge in NMT, enhancing better phrase generation of NMT systems. Evaluation shows that NOOV is able to generate better translation of EHR with improvement in both accuracy and fluency.

Sarthak Das

BoxRL-NNV is a Python tool for the detection of safety violations in neural networks by computing the bounds of the output variables, given the bounds of the input variables of the network. This is done using global extrema estimation via Latin Hypercube Sampling, and further refinement using L-BFGS-B for local optimization around the initial guess. This paper presents an overview of BoxRL-NNV, as well as our results for a subset of the ACAS Xu benchmark. A complete evaluation of the tool's performance, including benchmark comparisons with state-of-the-art tools, shall be presented at the Sixth International Verification of Neural Networks Competition (VNN-COMP'25).

Carmen Bonfacio, Fernando Schapachnik, Fabio Porto

This survey explores the impact perceived by employers and employees of GenAI in their work activities in Brazil. Generative AI (GenAI) is gradually transforming Brazil workforce, particularly in micro and small businesses, though its adoption remains uneven. This survey examines the perceptions of employers and employees across five sectors: Sales, Customer Service, Graphic Design or Photography, Journalism or Content Production, and Software Development or Coding. The results are analyzed in light of six key dimensions of workforce impact. The findings reveal a mix of optimism, apprehension, and untapped potential in the integration of AI tools. This study serves as a foundation for developing inclusive strategies that maximize AI's benefits while safeguarding workers' rights. The IIA-LNCC supports open research and remains committed to shaping a future where technology and human potential progress together.

Ciro Beneduce, Tania Gullón Muñoz-Repiso, Bruno Lepri et al.

Mobility patterns play a critical role in a wide range of societal challenges, from epidemic modeling and emergency response to transportation planning and regional development. Yet, access to high-quality, timely, and openly available mobility data remains limited. In response, the Spanish Ministry of Transportation and Sustainable Mobility has released daily mobility datasets based on anonymized mobile phone data, covering districts, municipalities, and greater urban areas from February 2020 to June 2021 and again from January 2022 onward. This paper presents pySpainMobility, a Python package that simplifies access to these datasets and their associated study areas through a standardized, well-documented interface. By lowering the technical barrier to working with large-scale mobility data, the package enables reproducible analysis and supports applications across research, policy, and operational domains. The library is available at https://github.com/pySpainMobility.

R. Julian R. Abel, Ingo Janiszczak, Reiner Staszewski

We will show that there are at least 8, 10 and 9 mutually orthogonal Latin squares (MOLS) of orders $n=54$, $96$ and $108$. The cases $n=54$ and $96$ are obtained by constructing separable permutation codes consisting of $8 \times 54$ and $10 \times 96$ codeword respectively; in addition, these codes respectively have lengths $54$, $96$ and minimum distances $53$, $95$. Here we will follow exactly the procedure given in \cite{JS2019}. The case $n=108$ is obtained by constructing a $(108,10,1)$ difference matrix. Also, an error in \cite{ACD} for $n=45$ will be corrected.

Gleb Schmidt, Svetlana Gorovaia, Ivan P. Yamshchikov

This paper evaluates the performance of Large Language Models (LLMs) in authorship attribution and authorship verification tasks for Latin texts of the Patristic Era. The study showcases that LLMs can be robust in zero-shot authorship verification even on short texts without sophisticated feature engineering. Yet, the models can also be easily "mislead" by semantics. The experiments also demonstrate that steering the model's authorship analysis and decision-making is challenging, unlike what is reported in the studies dealing with high-resource modern languages. Although LLMs prove to be able to beat, under certain circumstances, the traditional baselines, obtaining a nuanced and truly explainable decision requires at best a lot of experimentation.

Milan Straka, Jana Straková, Federica Gamba

We present LatinPipe, the winning submission to the EvaLatin 2024 Dependency Parsing shared task. Our system consists of a fine-tuned concatenation of base and large pre-trained LMs, with a dot-product attention head for parsing and softmax classification heads for morphology to jointly learn both dependency parsing and morphological analysis. It is trained by sampling from seven publicly available Latin corpora, utilizing additional harmonization of annotations to achieve a more unified annotation style. Before fine-tuning, we train the system for a few initial epochs with frozen weights. We also add additional local relative contextualization by stacking the BiLSTM layers on top of the Transformer(s). Finally, we ensemble output probability distributions from seven randomly instantiated networks for the final submission. The code is available at https://github.com/ufal/evalatin2024-latinpipe.

Mai A. Shaaban, Abbas Akkasi, Adnan Khan et al.

The accurate recognition of symptoms in clinical reports is significantly important in the fields of healthcare and biomedical natural language processing. These entities serve as essential building blocks for clinical information extraction, enabling retrieval of critical medical insights from vast amounts of textual data. Furthermore, the ability to identify and categorize these entities is fundamental for developing advanced clinical decision support systems, aiding healthcare professionals in diagnosis and treatment planning. In this study, we participated in SympTEMIST, a shared task on the detection of symptoms, signs and findings in Spanish medical documents. We combine a set of large language models fine-tuned with the data released by the organizers.

A. Oliveira, T. Lucas, Robert Aldo Iquiapaza

ABSTRACT Objective: to analyze the COVID-19 pandemic and what we have (re)learned from the world experience of adopting prevention measures recommended by the World Health Organization as well as the epidemiological overview in the world, in Latin America and in Brazil. Results: the World Health Organization has pointed out that the path to reduce the speed of circulation of the virus, control and decrease in the number of cases and deaths resulting from this pandemic can only be accomplished with mass adoption of fundamental measures that include hand hygiene, alcohol gel use, cough etiquette, cleaning surfaces, avoiding agglomerations and social distancing. The epidemiological curve of the disease clearly shows the devastating proportions in Italy, Spain and the United States, surpassing China in death records, due to the delay in adopting the aforementioned measures. In Brazil, the rapid progression in relation to the world and Latin America points to an important increase in the number of cases. Conclusion: this is possibly the most serious pandemic in recent human history, and its course can be influenced by the rigor in adopting individual and collective behavioral measures.

Montse C. Ruiz, T. Devonport, C. Chen-Wilson et al.

This study explored the influence of the COVID-19 pandemic on perceived health behaviors; physical activity, sleep, and diet behaviors, alongside associations with wellbeing. Participants were 1,140 individuals residing in the United Kingdom (n = 230), South Korea (n = 204), Finland (n = 171), Philippines (n = 132), Latin America (n = 124), Spain (n = 112), North America (n = 87), and Italy (n = 80). They completed an online survey reporting possible changes in the targeted behaviors as well as perceived changes in their physical and mental health. Multivariate analyses of covariance (MANCOVA) on the final sample (n = 1,131) revealed significant mean differences regarding perceived physical and mental health “over the last week,” as well as changes in health behaviors during the pandemic by levels of physical activity and country of residence. Follow up analyses indicated that individuals with highest decrease in physical activity reported significantly lower physical and mental health, while those with highest increase in physical activity reported significantly higher increase in sleep and lower weight gain. United Kingdom participants reported lowest levels of physical health and highest increase in weight while Latin American participants reported being most affected by emotional problems. Finnish participants reported significantly higher ratings for physical health. The physical activity by country interaction was significant for wellbeing. MANCOVA also revealed significant differences across physical activity levels and four established age categories. Participants in the oldest category reported being significantly least affected by personal and emotional problems; youngest participants reported significantly more sleep. The age by physical activity interaction was significant for eating. Discussed in light of Hobfoll (1998) conservation of resources theory, findings endorse the policy of advocating physical activity as a means of generating and maintaining resources combative of stress and protective of health.

Mikael Svanberg

Eelco Runia’s view of historical time is that the now and the past exert an alternating influence on each other. The most prominent expression of this is a dialogue between the historian and the historical actors in which the historian creates metonyms, replacement terms, for how historical actors are defined, which affects the description of the past. In this paper, Runia’s conception of historical time has been tested through an empirical investigation into the changing descriptions of the process of rejecting the aether hypothesis, 1858-2022. After the process of phasing the aether out of physics had previously been explained as being caused by the gradual acceptance of the theory of relativity, the cause was suddenly superseded in the 1990s by the Michelson-Morley experiment conducted in the 1880s. During the 21st century, however, the aether once again returned as a concept. The reason for the changes, is the conclusion, could possibly be due to the ambition to give a rational picture of the development of natural science at every point in time

David Gimeno-Gómez, Carlos-D. Martínez-Hinarejos

During a conversation, our brain is responsible for combining information obtained from multiple senses in order to improve our ability to understand the message we are perceiving. Different studies have shown the importance of presenting visual information in these situations. Nevertheless, lipreading is a complex task whose objective is to interpret speech when audio is not available. By dispensing with a sense as crucial as hearing, it will be necessary to be aware of the challenge that this lack presents. In this paper, we propose an analysis of different speech visual features with the intention of identifying which of them is the best approach to capture the nature of lip movements for natural Spanish and, in this way, dealing with the automatic visual speech recognition task. In order to estimate our system, we present an audiovisual corpus compiled from a subset of the RTVE database, which has been used in the Albayzín evaluations. We employ a traditional system based on Hidden Markov Models with Gaussian Mixture Models. Results show that, although the task is difficult, in restricted conditions we obtain recognition results which determine that using eigenlips in combination with deep features is the best visual approach.

J. Ruiz-Real, Juan Uribe-Toril, Jaime de Pablo Valenciano et al.

This work represents a contribution by showing the state of the art of research on rural tourism and development, identifying trends and proposing future lines and topics of research. Rural tourism and its influence on the economic development of rural areas has been an important and dynamic area of research since 2004. For this purpose, a quantitative bibliometric analysis of the 892 documents related to this topic contained within the Web of Science Core Collection has been carried out. Results show that studies on rural tourism mainly focus on Spain, Romania, and China. However, the most prolific authors are from Portugal, China, the United Kingdom, and the United States. There is a notable lack of studies focused on countries in Africa, Asia, and Latin America, mainly due to political and religious factors. Rural tourism is also an important and emergent sector, particularly in countries like Romania and China.

Y. Carlier, J. Altcheh, A. Angheben et al.

In 2005, the World Health Organization (WHO) recognized Chagas disease (CD; Trypanosoma cruzi infection) as a neglected tropical disease (NTD) [1] and included it into the global plan to combat NTDs [2]. The Target 3.3 of the United Nations Sustainable Development Goals (UN/SDG) aims at ending the epidemics of NTDs by 2030 [3]. Mother-to-child (congenital/connatal) transmission is currently the main mode of transmission of T. cruzi over blood transfusions and organ transplantations in vector-free areas within and outside Latin America (LA). Based on recent demonstrations that congenital transmission can be prevented [4–7], WHO has shifted its objective, in 2018, from control to elimination of congenital CD (cCD) (road map reference documents in preparation). This article summarizes the recommendations of the WHO Technical Group on “Prevention and Control of Congenital Transmission and Case Management of Congenital Infections with Trypanosoma cruzi” (WHO, Department of Control of Neglected Tropical Diseases). It updates and completes the recommendations previously published in 2011 by the Technical Group [8]. These consensual recommendations derive from discussions at technical meetings convened by WHO in Murcia (Spain) on 9–10 October 2018 (II WHO Technical Consultation on Control of Congenital Chagas disease in nonendemic countries, and specific meetings of the Technical Group).

S. Antinori, L. Galimberti, R. Bianco et al.

Andrew Charles Brady

There exist few examples of negative Latin square type partial difference sets (NLST PDSs) in nonabelian groups. We present a list of 176 inequivalent NLST PDSs in 48 nonisomorphic, nonabelian groups of order 64. These NLST PDSs form 8 nonisomorphic strongly regular graphs. These PDSs were constructed using a combination of theoretical techniques and computer search, both of which are described. The search was run exhaustively on 212/267 nonisomorphic groups of order 64.

Nuria Font, P. Graziano, Myrto Tsakatika

Abstract Over the past years, parties often described as populist, such as SYRIZA in Greece, the Five Star Movement (FSM) in Italy and Podemos in Spain have made significant electoral breakthroughs, unsettling well-established party systems. In the literature, inclusionary populism has primarily been applied to Latin America whereas the three Southern European parties have been examined individually, but not in comparative perspective. The purpose of this article is to provide a comparative analysis, based on an original electoral manifestos content analysis, aimed at unveiling the ‘inclusionary populism’ features of the ‘new’ political parties that have emerged in Southern Europe. By focusing on the 2012–16 period, the article shows that the inclusionary category can be fruitfully applied also to European political parties; it finds different degrees of inclusionary populism (namely between SYRIZA and Podemos); and it proves that the FSM falls between the two exclusionary vs. inclusionary poles.

Diego Chavarro, Ismael Rafols, P. Tang

The assessment of research based on the journal in which it is published is a widely adopted practice. Some research assessments use the Web of Science (WoS) to identify ‘high quality’ journals, which are assumed to publish excellent research. The authority of WoS on journal quality stems from its selection of journals based on editorial standards and scientific impact criteria. These can be considered as universalistic criteria, meaning that they can be applied to any journal regardless of its place of publication, language, or discipline. In this article we examine the coverage by WoS of journals produced in Latin America, Spain, and Portugal. We use a logistic regression to examine the probability of a journal to be covered by WoS given universalistic criteria (editorial standards and scientific impact of the journal) and particularistic criteria (country, language, and discipline of the journal). We find that it is not possible to predict the inclusion of journals in WoS only through the universalistic criteria because particularistic variables such as country of the journal, its discipline, and language are strongly related to inclusion in WoS. We conclude that using WoS as a universalistic tool for research assessment can disadvantage science published in journals with adequate editorial standards and scientific merit. We discuss the implications of these findings within the research evaluation literature, specifically for countries and disciplines not extensively covered by WoS.