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

Mohammad Naserameri, Juergen Rilling

Context: Blockchain and AI are increasingly explored to enhance trustworthiness in software engineering (SE), particularly in supporting software evolution tasks. Method: We conducted a systematic literature review (SLR) using a predefined protocol with clear eligibility criteria to ensure transparency, reproducibility, and minimized bias, synthesizing research on blockchain-enabled trust in AI-driven SE tools and processes. Results: Most studies focus on integrating AI in SE, with only 31% explicitly addressing trustworthiness. Our review highlights six recent studies exploring blockchain-based approaches to reinforce reliability, transparency, and accountability in AI-assisted SE tasks. Conclusion: Blockchain enhances trust by ensuring data immutability, model transparency, and lifecycle accountability, including federated learning with blockchain consensus and private data verification. However, inconsistent definitions of trust and limited real-world testing remain major challenges. Future work must develop measurable, reproducible trust frameworks to enable reliable, secure, and compliant AI-driven SE ecosystems, including applications involving large language models.

Gema Polethe García Amén, Maryuri Alexandra Zamora Cusme, María Yarixa Macías Pico

El presente estudio tuvo como objetivo evaluar la gestión administrativa y la calidad del servicio del ECU 911 de la ciudad de Portoviejo, provincia de Manabí, Ecuador, el estudio fue de tipo descriptivo con enfoque mixto, integrando métodos cualitativos y cuantitativos que permitieron obtener una visión integral del funcionamiento del sistema de emergencias. Se aplicaron técnicas como la encuesta con una muestra de 384 ciudadanos, así como la observación directa mediante una guía previamente diseñada y aplicada en las instalaciones del ECU 911, los instrumentos utilizados fueron el cuestionario y la guía de observación, Entre los resultados más notables, se destacó que el servicio es relativamente eficiente, y se percibe al personal como amable; sin embargo, también se reportó dificultades al intentar comunicarse con la central en situaciones de emergencia, y tampoco se recibió seguimiento posterior, la observación permitió identificar fallas cuestionables en la ergonomía del mobiliario, accesibilidad y actualización tecnológica, estos hallazgos reflejan una percepción favorable en términos humanos, pero también ponen en evidencia carencias importantes en infraestructura, comunicación y formación ciudadana, aspectos fundamentales para garantizar una atención oportuna y de calidad para la gestión de emergencias.

Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina et al.

Data valuation and data monetisation are complex subjects but essential to most organisations today. Unfortunately, they still lack standard procedures and frameworks for organisations to follow. In this survey, we introduce the reader to the concepts by providing the definitions and the background required to better understand data, monetisation strategies, and finally metrics and KPIs used in these strategies. We have conducted a systematic literature review on metrics and KPIs used in data valuation and monetisation, in every aspect of an organisation's business, and by a variety of stakeholders. We provide an expansive list of such metrics and KPIs with 162 references. We then categorise all the metrics and KPIs found into a large taxonomy, following the Balanced Scorecard (BSC) approach with further subclustering to cover every aspect of an organisation's business. This taxonomy will help every level of data management understand the complex landscape of the domain. We also discuss the difficulty in creating a standard framework for data valuation and data monetisation and the major challenges the domain is currently facing.

Alejandro Godinez

We present HySemRAG, a framework that combines Extract, Transform, Load (ETL) pipelines with Retrieval-Augmented Generation (RAG) to automate large-scale literature synthesis and identify methodological research gaps. The system addresses limitations in existing RAG architectures through a multi-layered approach: hybrid retrieval combining semantic search, keyword filtering, and knowledge graph traversal; an agentic self-correction framework with iterative quality assurance; and post-hoc citation verification ensuring complete traceability. Our implementation processes scholarly literature through eight integrated stages: multi-source metadata acquisition, asynchronous PDF retrieval, custom document layout analysis using modified Docling architecture, bibliographic management, LLM-based field extraction, topic modeling, semantic unification, and knowledge graph construction. The system creates dual data products - a Neo4j knowledge graph enabling complex relationship queries and Qdrant vector collections supporting semantic search - serving as foundational infrastructure for verifiable information synthesis. Evaluation across 643 observations from 60 testing sessions demonstrates structured field extraction achieving 35.1% higher semantic similarity scores (0.655 $\pm$ 0.178) compared to PDF chunking approaches (0.485 $\pm$ 0.204, p < 0.000001). The agentic quality assurance mechanism achieves 68.3% single-pass success rates with 99.0% citation accuracy in validated responses. Applied to geospatial epidemiology literature on ozone exposure and cardiovascular disease, the system identifies methodological trends and research gaps, demonstrating broad applicability across scientific domains for accelerating evidence synthesis and discovery.

Carmen Galvez

The study aims to identify the process of transfer from science to technology that occurs in the main Portuguese public universities. The methodology was based on the analysis of the scientific literature cited in patents. Data was obtained from the Lens patent database. 10,514 scientific articles cited in patents were retrieved. A descriptive analysis of the data was performed. Science maps were created to visualize the main research trends. The results showed a valuable impact of academic research in certain scientific disciplines, such as Chemistry, Biology, Materials Sciences and Medicine. The main research fronts were cancer, nanoparticles, biomaterials, tissue engineering or molecular biology. In conclusion, the research produced by Portuguese universities has generated relevant knowledge for patented inventions and the science-technology flow within specific areas.

Jean Barré, Olga Seminck, Antoine Bourgois et al.

This research explores the evolution of the detective archetype in French detective fiction through computational analysis. Using quantitative methods and character-level embeddings, we show that a supervised model is able to capture the unity of the detective archetype across 150 years of literature, from M. Lecoq (1866) to Commissaire Adamsberg (2017). Building on this finding, the study demonstrates how the detective figure evolves from a secondary narrative role to become the central character and the "reasoning machine" of the classical detective story. In the aftermath of the Second World War, with the importation of the hardboiled tradition into France, the archetype becomes more complex, navigating the genre's turn toward social violence and moral ambiguity.

Jorge Alcón Borrega

Après des années dans un arrière-plan, l'œuvre de Madeleine Bourdouxhe (1906-1996) a été redécouverte et la critique a trouvé dans ses récits un message d'affirmation de l'identité féminine, précoce pour son époque. Sept nouvelles rassemble certaines des nouvelles écrits par l'auteure tout au long de sa vie, qui mettent en scène différentes femmes, contemporaines à l'écrivaine, qui souffrent du manque d'identité auquel elles sont soumises par la société et qui les contraint à être conditionnées par leurs maris. À travers ces histoires, l'auteur exprime le besoin des femmes de la moitié du XXe siècle d'atteindre leur propre identité. Toutefois, ce message n'est pas présenté explicitement dans l'œuvre, mais il est développé à travers différentes ressources littéraires et linguistiques qui parviendront à transmettre au lecteur le vide ressenti par ses personnages. Les brèves interventions des femmes, leurs caractéristiques et, surtout, leurs silences constitueront le point central de notre analyse.

Thierry Poibeau

In this paper, we explore the relevance of large language models (LLMs) for annotating references to Roman and Greek mythological entities in modern and contemporary French literature. We present an annotation scheme and demonstrate that recent LLMs can be directly applied to follow this scheme effectively, although not without occasionally making significant analytical errors. Additionally, we show that LLMs (and, more specifically, ChatGPT) are capable of offering interpretative insights into the use of mythological references by literary authors. However, we also find that LLMs struggle to accurately identify relevant passages in novels (when used as an information retrieval engine), often hallucinating and generating fabricated examples-an issue that raises significant ethical concerns. Nonetheless, when used carefully, LLMs remain valuable tools for performing annotations with high accuracy, especially for tasks that would be difficult to annotate comprehensively on a large scale through manual methods alone.

Newman Chen, Frédérique Mélanie-Becquet, Jean Barré et al.

Character recognition is a technique that enables the automated extraction of characters from texts, while coreference resolution establishes connections between various mentions of the same character, collectively facilitating the creation of expansive character networks (Moretti, 2011). Together, these technologies make it possible to navigate and analyze large literary corpora, opening new avenues for in-depth exploration and understanding of literature. We have created a system specifically for the French language, based on BookNLP-fr (the French counterpart of BookNLP) and NetworkX (a Python package for the manipulation and visualization of complex networks). This allows us to establish connections between series of literary works based on structural features (such as typical relationships between characters) or specific subgenres (for instance, adventure novels featuring a group of young heroes). In this paper, as an illustration, we show the networks obtained at different stages of the short novel Boule de Suif from Maupassant (a French 19th century novelist). These figures effectively illustrate how the relationships between the characters develop over the course of the story.

Lucas Fernando Souza de Castro, Sandro Rigo

Context: Microservices running and being powered by Edge Computing have been gaining much attention in the industry and academia. Since 2014, when Martin Fowler popularized the Microservice term, many studies have been published relating these subjects to explore how the Edge's low-latency feature could be combined with the high throughput of the distributed paradigm from Microservices. Objective: Identifying how Microservices work together with Edge Computing whereas they take advantage when running on Edge. Method: In order to better understand this relationship, we first identified its key concepts, which are: architecture approaches and features, microservice composition (orchestration/choreography), and offloading. Afterward, we conducted a Systematic Literature Review (SLR) as the survey method. Results: We reviewed 111 selected studies and built a taxonomy of Microservices on Edge Computing demonstrating their current architecture approaches and features, composition, and offloading modes. Moreover, we identify the research gaps and trends. Conclusion: This paper is a step forward to help researchers and professionals get a general overview of how Microservices and Edge have been related in the last years. It also discusses gaps and research trends. This SLR will also be a good introduction for new researchers in Edge and Microservices.

Jordina Frago Cañellas

Este artículo tiene como objetivo analizar lingüísticamente la transgresión del efecto de definitud en las construcciones impersonales con haber en muestras del español hablado en Cataluña, concretamente en las ocurrencias obtenidas en el Corpus Oral y Sonoro del Español Rural para las provincias catalanas. Primero se expone cómo resuelven el español y el catalán las construcciones locativo-existenciales y los verbos implicados en dichas estructuras para después analizar la transgresión del efecto de definitud como una posible interferencia del catalán al español. La discusión de los datos se basa en el contraste de las construcciones locativo-existenciales entre las dos lenguas.

Maricelis Valdés-López, Néstor Troche-Isalgué

El sistema de educación, como consecuencia de la Covid-19, se enfrenta a una etapa en la que se han tenido que rediseñar currículos a partir de las posibilidades reales de cada territorio. Los cambios en el proceso de formación de profesionales han sido profundos y la forma de organización docente que prevalece en la actualidad (no presencial – a distancia), rompe por completo con la tradicional educación presencial. Estos cambios están inevitablemente vinculados a la utilización efectiva de las TIC y al papel de los materiales didácticos en el proceso de enseñanza – aprendizaje que se convierten en los portadores básicos de los conocimientos que el estudiante debe adquirir. En este estudio se hace referencia a algunos elementos esenciales sobre los materiales didácticos multimedia, así como a particularidades de diferentes componentes multimedia y recomendaciones a tener en cuenta para su adecuado uso en la educación no presencial.

Jussi T. S. Heikkila

The Journal of Economic Literature codes classification system (JEL) published by the American Economic Association (AEA) is the de facto standard classification system for research literature in economics. The JEL classification system is used to classify articles, dissertations, books, book reviews, and working papers in EconLit, a database maintained by the AEA. Over time, it has evolved and extended to a system with over 850 subclasses. This paper reviews the history and development of the JEL classification system, describes the current version, and provides a selective overview of its uses and applications in research. The JEL codes classification system has been adopted by several publishers, and their instructions are reviewed. There are interesting avenues for future research as the JEL classification system has been surprisingly little used in existing bibliometric and scientometric research as well as in library classification systems.

Pedro Alfonso de la Puente, Juan José Berdugo Cepeda, María José Pérez Pacheco

The purpose of this systematic review is to identify and describe the state of development literature published in Latin America, in Spanish and English, since 2010. For this, we carried out a topographic review of 44 articles available in the most important bibliographic indexes of Latin America, published in journals of diverse disciplines. Our analysis focused on analyzing the nature and composition of literature, finding a large proportion of articles coming from Mexico and Colombia, as well as specialized in the economic discipline. The most relevant articles reviewed show methodological and thematic diversity, with special attention to the problem of growth in Latin American development. An important limitation of this review is the exclusion of articles published in Portuguese, as well as non-indexed literature (such as theses and dissertations). This leads to various recommendations for future reviews of the development literature produced in Latin America.

Wisal Khan, Teerath Kumar, Zhang Cheng et al.

Context: The efficient processing of Big Data is a challenging task for SQL and NoSQL Databases, where competent software architecture plays a vital role. The SQL Databases are designed for structuring data and supporting vertical scalability. In contrast, horizontal scalability is backed by NoSQL Databases and can process sizeable unstructured Data efficiently. One can choose the right paradigm according to the organisation's needs; however, making the correct choice can often be challenging. The SQL and NoSQL Databases follow different architectures. Also, the mixed model is followed by each category of NoSQL Databases. Hence, data movement becomes difficult for cloud consumers across multiple cloud service providers (CSPs). In addition, each cloud platform IaaS, PaaS, SaaS, and DBaaS also monitors various paradigms. Objective: This systematic literature review (SLR) aims to study the related articles associated with SQL and NoSQL Database software architectures and tackle data portability and Interoperability among various cloud platforms. State of the art presented many performance comparison studies of SQL and NoSQL Databases by observing scaling, performance, availability, consistency and sharding characteristics. According to the research studies, NoSQL Database designed structures can be the right choice for big data analytics, while SQL Databases are suitable for OLTP Databases. The researcher proposes numerous approaches associated with data movement in the cloud. Platform-based APIs are developed, which makes users' data movement difficult. Therefore, data portability and Interoperability issues are noticed during data movement across multiple CSPs. To minimize developer efforts and Interoperability, Unified APIs are demanded to make data movement relatively more accessible among various cloud platforms.

Jascha Grübel, Tyler Thrash, Leonel Aguilar et al.

Smart Cities already surround us, and yet they are still incomprehensibly far from directly impacting everyday life. While current Smart Cities are often inaccessible, the experience of everyday citizens may be enhanced with a combination of the emerging technologies Digital Twins (DTs) and Situated Analytics. DTs represent their Physical Twin (PT) in the real world via models, simulations, (remotely) sensed data, context awareness, and interactions. However, interaction requires appropriate interfaces to address the complexity of the city. Ultimately, leveraging the potential of Smart Cities requires going beyond assembling the DT to be comprehensive and accessible. Situated Analytics allows for the anchoring of city information in its spatial context. We advance the concept of embedding the DT into the PT through Situated Analytics to form Fused Twins (FTs). This fusion allows access to data in the location that it is generated in an embodied context that can make the data more understandable. Prototypes of FTs are rapidly emerging from different domains, but Smart Cities represent the context with the most potential for FTs in the future. This paper reviews DTs, Situated Analytics, and Smart Cities as the foundations of FTs. Regarding DTs, we define five components (Physical, Data, Analytical, Virtual, and Connection environments) that we relate to several cognates (i.e., similar but different terms) from existing literature. Regarding Situated Analytics, we review the effects of user embodiment on cognition and cognitive load. Finally, we classify existing partial examples of FTs from the literature and address their construction from Augmented Reality, Geographic Information Systems, Building/City Information Models, and DTs and provide an overview of future direction

Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá et al.

Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techniques; here we propose, build and validate an architecture that integrates different modules to answer two distinct kinds of queries. Our architecture takes a free-form natural language text and classifies it to send it either to a Neural Question Answering Reasoner or a Natural Language parser to SQL. We implemented a complete system for the Portuguese language, using some of the main tools available for the language and translating training and testing datasets. Experiments show that our system selects the appropriate answering method with high accuracy (over 99\%), thus validating a modular question answering strategy.

Guillaume Cabanac

Research misconduct and frauds pollute the scientific literature. Honest errors and malevolent data fabrication, image manipulation, journal hijacking, and plagiarism passed peer review unnoticed. Problematic papers deceive readers, authors citing them, and AI-powered literature-based discovery. Flagship publishers accepted hundreds flawed papers despite claiming to enforce peer review. This application ambitions to decontaminate the scientific literature using curative and preventive actions.

Davinia Rodríguez Ortega

Reseña de Lope de Vega, Comedias Parte XVII, coord. Daniele Crivellari y Eugenio Maggi, Barcelona, Gredos, 2018, 2 tomos. 1158 +1036 pp. ISBN: 978-84-89790-00-1

Michel Wijkstra, Timo Lek, Tobias Kuhn et al.

Literature reviews have long played a fundamental role in synthesizing the current state of a research field. However, in recent years, certain fields have evolved at such a rapid rate that literature reviews quickly lose their relevance as new work is published that renders them outdated. We should therefore rethink how to structure and publish such literature reviews with their highly valuable synthesized content. Here, we aim to determine if existing Linked Data technologies can be harnessed to prolong the relevance of literature reviews and whether researchers are comfortable with working with such a solution. We present here our approach of ``living literature reviews'' where the core information is represented as Linked Data which can be amended with new findings after the publication of the literature review. We present a prototype implementation, which we use for a case study where we expose potential users to a concrete literature review modeled with our approach. We observe that our model is technically feasible and is received well by researchers, with our ``living'' versions scoring higher than their traditional counterparts in our user study. In conclusion, we find that there are strong benefits to using a Linked Data solution to extend the effective lifetime of a literature review.