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

Saadi Lahlou, Annabelle Gouttebroze, Atrina Oraee et al.

We qualitatively compared literature reviews produced with varying degrees of AI assistance. The same LLM, given the same corpus of 280 papers but different selections, produced dramatically different reviews, from mainstream and politically neutral to critical and post-colonial, though neither orientation was intended. LLM outputs always appear at first glance to be well written, well informed and thought out, but closer reading reveals gaps, biases and lack of depth. Our comparison of six versions shows a series of pitfalls and suggests precautions necessary when using AI assistance to make a literature review. Main issues are: (1) The bias of ignorance (you do not know what you do not get) in the selection of relevant papers. (2) Alignment and digital sycophancy: commercial AI models slavishly take you further in the direction they understand you give them, reinforcing biases. (3) Mainstreaming: because of their statistical nature, LLM productions tend to favor mainstream perspectives and content; in our case there was only 20% overlap between paper selections by humans and the LLM. (4) Limited capacity for creative restructuring, with vague and ambiguous statements. (5) Lack of critical perspective, coming from distant reading and political correctness. Most pitfalls can be addressed by prompting, but only if the user knows the domain well enough to detect them. There is a paradox: producing a good AI-assisted review requires expertise that comes from reading the literature, which is precisely what AI was meant to reduce. Overall, AI can improve the span and quality of the review, but the gain of time is not as massive as one would expect, and a press-button strategy leaving AI to do the work is a recipe for disaster. We conclude with recommendations for those who write, or assess, such LLM-augmented reviews.

Alejandro Orgambídez, Yolanda Borrego, F. J. Alcalde et al.

Background/Objectives: Moral distress is commonly experienced by healthcare professionals (i.e., nurses) as ethical conflict. Previous literature suggests that moral distress contributes to emotional exhaustion in these professionals. We aimed to synthesize and analyze studies that examined the relationship between moral distress and emotional exhaustion in healthcare professionals. Methods: Web of Science, Scopus, PubMed, Medline, and PsycInfo were used to search targeted studies written in English, Spanish, French, Italian, and Portuguese. The correlation coefficients of each study were extracted and converted into Fisher’s z. Finally, pooled r was calculated by Fisher’s z and standard error. The meta-analysis was performed with the R statistical program. Results: A total of 14 studies with 2425 healthcare professionals were included. The Moral Distress Scale Revised (MDS-R) and the Maslach Burnout Inventory (MBI) were the most used scales to measure moral distress and emotional exhaustion, respectively. The pooled correlation coefficient between moral distress and emotional exhaustion was 0.33 (p < 0.001, 95%CI: 0.27, 0.39). Conclusions: Moral distress is strongly correlated to emotional exhaustion in healthcare professionals. Future studies should focus on exploring the causal relationships between both variables as well as investigating potential moderators.

Jenny Phillimore, Marisol Reyes Soto, Gabriella D’Avino et al.

Eduardo Velásquez-Girón, Edna Rocio Buitrago-Quiñonez, Jorge Hernández-Guevara et al.

Objectives: Bennett's fracture, the most common intra-articular fracture occurring at the base of the thumb, accounts for less than 1% of all hand fractures. It typically results from specific traumatic mechanisms, deforming forces, and ligamentous injuries. To compare the functional outcomes and sequelae in patients with Bennett's fracture treated surgically using: Open reduction and internal screw fixation, closed reduction and percutaneous fixation, arthroscopy-assisted reduction and screw fixation. Methods: A systematic literature review was conducted to identify studies on Bennett's fracture dislocations in patients over 18 years of age without additional injuries. Searches were performed in PubMed, Scopus, Cochrane Central, Web of Science, Scielo, Lilacs, Oneme, and Epistemonikos databases, with language restrictions in English, French, Spanish, Portuguese, Italian, and German, and no date restrictions. Primary outcome variables included measures of functionality and secondary outcomes such as pain, stiffness, and osteoarthritis. Results: A total of 18 studies met the selection criteria, with most being retrospective (94.45%). Pain measures were reported in 77.78% of the studies, predominantly using the VAS (min=0 and max=2). All techniques seemed to achieve similar functional outcomes. The main difference was the pain registered at follow-up, mainly by patients treated with open reduction. Osteoarthritis appeared as a common consequence of these fractures, regardless of the treatment type -excluding arthroscopy-assisted reduction as there was not enough data. Conclusion: The three techniques had similar functional outcomes. Closed reduction and percutaneous fixation appear to result in less pain; however, both closed reduction with percutaneous fixation and open reduction with internal screw fixation have similar rates of osteoarthritis at follow-up. Unfortunately, there is insufficient data to evaluate arthroscopy-assisted reduction with screw fixation, suggesting the need for rigorous follow-up in patients undergoing this surgical intervention.

José Contel, Fiona Pugliese

Bako, M. A., A. A. A., M. I.

This study examines the lexical similarities among French, Italian, Portuguese, and Spanish, members of the Romance branch of the Indo-European language family, to explore the distinction between languages and dialects. Using a comparative method and data sourced from bilingual dictionaries and linguistic texts, the paper analyzes the form, meaning, and behavior of selected nominal, verbal, adjectival, and adverbial items across these languages. The findings reveal a remarkable uniformity in spelling, pronunciation, and meaning, indicating high mutual intelligibility in core vocabulary. While socio-political boundaries define these as separate languages, the study demonstrates that, linguistically, they function as a continuum of dialectal variants derived from Latin. Integrating insights from the literature on language as particle, wave, and field, the study highlights the interplay between linguistic, historical, and socio-political factors in language classification. The research underscores the importance of considering both structural similarities and extralinguistic influences when distinguishing languages from dialects, offering a nuanced perspective on the Romance language continuum.

Kui Zhao, Ziting Wang, Yu Liu et al.

Quantum simulation has emerged as a powerful framework for investigating complex many - body phenomena. A key requirement for emulating these dynamics is the realization of fully controllable quantum systems enabling various spin interactions. Yet, quantum simulators remain constrained in the types of attainable interactions. Here we demonstrate experimental realization of multiple microwave - engineered spin interactions in superconducting quantum circuits. By precisely controlling the native XY interaction and microwave drives, we achieve tunable spin Hamiltonians including: (i) XYZ spin models with continuously adjustable parameters, (ii) transverse - field Ising systems, and (iii) Dzyaloshinskii - Moriya interacting systems. Our work expands the toolbox for analogue - digital quantum simulation, enabling exploration of a wide range of exotic quantum spin models.

Debora Firmino de Souza, Sonia Sousa, Kadri Kristjuhan-Ling et al.

The Industry 5.0 transition highlights EU efforts to design intelligent devices that can work alongside humans to enhance human capabilities, and such vision aligns with user preferences and needs to feel safe while collaborating with such systems take priority. This demands a human-centric research vision and requires a societal and educational shift in how we perceive technological advancements. To better understand this perspective, we conducted a systematic literature review focusing on understanding how trust and trustworthiness can be key aspects of supporting this move towards Industry 5.0. This review aims to overview the most common methodologies and measurements and collect insights about barriers and facilitators for fostering trustworthy HRI. After a rigorous quality assessment following the Systematic Reviews and Meta-Analyses guidelines, using rigorous inclusion criteria and screening by at least two reviewers, 34 articles were included in the review. The findings underscores the significance of trust and safety as foundational elements for promoting secure and trustworthy human-machine cooperation. Confirm that almost 30% of the revised articles do not present a definition of trust, which can be problematic as this lack of conceptual clarity can undermine research efforts in addressing this problem from a central perspective. It highlights that the choice of domain and area of application should influence the choice of methods and approaches to fostering trust in HRI, as those choices can significantly affect user preferences and their perceptions and assessment of robot capabilities. Additionally, this lack of conceptual clarity can be a potential barrier to fostering trust in HRI and explains the sometimes contradictory findings or choice of methods and instruments used to investigate trust in robots and other autonomous systems in the literature.

Mahtab Jamali, Paul Davidsson, Reza Khoshkangini et al.

Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors. For example, where recognizing an isolated object might be challenging, context information can improve comprehension of the scene. This study explores the impact of various context-based approaches to object detection. Initially, we investigate the role of context in object detection and survey it from several perspectives. We then review and discuss the most recent context-based object detection approaches and compare them. Finally, we conclude by addressing research questions and identifying gaps for further studies. More than 265 publications are included in this survey, covering different aspects of context in different categories of object detection, including general object detection, video object detection, small object detection, camouflaged object detection, zero-shot, one-shot, and few-shot object detection. This literature review presents a comprehensive overview of the latest advancements in context-based object detection, providing valuable contributions such as a thorough understanding of contextual information and effective methods for integrating various context types into object detection, thus benefiting researchers.

Simon Gaunt

The Department of Romance Languages offers an extensive range of courses and degree programs, from instruction in beginning languages through the study of the literatures and cultures of French-, Italian-, Portuguese-, and Spanish-speaking countries. Students can earn a bachelor of arts (BA) degree in French, Italian, Spanish, or Romance languages; the master of arts (MA) is also available in these areas. The doctor of philosophy (PhD), awarded in Romance languages, encompasses a primary language and literature and a supporting area. Romance languages is a liberal-arts major, providing a valuable background for students interested in graduate work, teaching, and a wide array of other professional and international careers that require strong analytical and communication skills.

Maria Giulia Pinheiro, Saru Vidal, Cynthia Agra de Brito Neves

The purpose of this paper is to discuss and analyze public posts on the social network Facebook that point to xenophobic opinions about the (i)migrant poetry slam scene in Portugal. These posts reflect the post-colonial attitudes of a historically colonizing country, which is currently experiencing a cultural identity crisis that oscillates between Lusotropicalist and Eurocentric ideology, and whose economic, racial and gender discrimination is still present. We will therefore look at poetry slam in Portugal in the light of post-colonial, identity and social disputes.

Nurshat Fateh Ali, Md. Mahdi Mohtasim, Shakil Mosharrof et al.

This research presents and compares multiple approaches to automate the generation of literature reviews using several Natural Language Processing (NLP) techniques and retrieval-augmented generation (RAG) with a Large Language Model (LLM). The ever-increasing number of research articles provides a huge challenge for manual literature review. It has resulted in an increased demand for automation. Developing a system capable of automatically generating the literature reviews from only the PDF files as input is the primary objective of this research work. The effectiveness of several Natural Language Processing (NLP) strategies, such as the frequency-based method (spaCy), the transformer model (Simple T5), and retrieval-augmented generation (RAG) with Large Language Model (GPT-3.5-turbo), is evaluated to meet the primary objective. The SciTLDR dataset is chosen for this research experiment and three distinct techniques are utilized to implement three different systems for auto-generating the literature reviews. The ROUGE scores are used for the evaluation of all three systems. Based on the evaluation, the Large Language Model GPT-3.5-turbo achieved the highest ROUGE-1 score, 0.364. The transformer model comes in second place and spaCy is at the last position. Finally, a graphical user interface is created for the best system based on the large language model.

C. Bernardo, M. Tosin, M. Almada et al.

BACKGROUND The Ascertaining Barriers to Compliance (ABC) taxonomy for describing medication adherence was created in 2012, aiming to standardize terms and definitions in research and practice. The taxonomy comprises seven terms and definitions. Originally developed in English, subsequently translated into French and German, is currently being translated to Portuguese, Spanish, Czech, Romanian and Italian, aiming to promote its global use and overcome cultural barriers. OBJECTIVES To cross-culturally translate the ABC taxonomy into Portuguese for Portugal and Brazil. METHODS A systematic literature search was conducted to identify published taxonomy terms and definitions in Portuguese, and to identify panelists in medication adherence. Initial mapping of terms and definitions retrieved was scrutinized by the research team to build an e-survey. The e-survey was piloted and then sent to panelists in both countries seeking consensus using a three-round Delphi method. Consensus was defined as ≥ 85% for round 1 and ≥ 75% for round 2. Terms with agreement 75-95% as consensus and >95% as strong consensus. RESULTS A total of 778 studies were identified and 84 included, enabling the extraction of 154 terms and 32 definitions. In round 1, 164 panelists participated, 115 in round 2 and 99 in the round 3. Consensus was achieved in both countries for all seven terms and definitions, although with varying intensity of agreement. The term "Management of adherence" and the definition of "Discontinuation" obtained moderate consensus in both countries. CONCLUSIONS A unified and unique ABC taxonomy in Portuguese was possible to develop for use in Portugal and in Brazil. Its use will harmonize and standardize the terms and definitions used in clinical practice and research.

Stefano Magni

Au lendemain de l’unification politique de la péninsule, les Italiens n’avaient pas une langue commune. Le taux d’analphabètes était très élevé et le pourcentage d’italophones très faible. Face à cette situation dramatique, le Gouvernement italien promut l’action d’une commission ministérielle. A. Manzoni, qui dirigeait ce projet, décida de prendre des mesures visant à stimuler dans les autres régions la diffusion du florentin parlé. À l’encontre de ce projet, culturellement artificiel, le linguiste G.I. Ascoli attaqua l’aspect factice de ce programme linguistique, proposant un modèle de développement spontané et homogène de la langue comme aboutissement naturel de la rencontre des dialectes.

Thea Rossi

The current migratory movement from Venezuela to Colombia is at the heart of a heated debate. This paper aims to focus the attention on the Colombian context, starting from the transition process generated after the internal armed conflict. After that, border dynamics and migration policies will be examined, highlighting how the centrality of the subject order / disorder, social harmony / disharmony has also oriented the construction of the figure of the Venezuelan migrant both politically and in the media, with consequences on the reception and inclusion.

David A. Tovar

The process of conducting literature reviews is often time-consuming and labor-intensive. To streamline this process, I present an AI Literature Review Suite that integrates several functionalities to provide a comprehensive literature review. This tool leverages the power of open access science, large language models (LLMs) and natural language processing to enable the searching, downloading, and organizing of PDF files, as well as extracting content from articles. Semantic search queries are used for data retrieval, while text embeddings and summarization using LLMs present succinct literature reviews. Interaction with PDFs is enhanced through a user-friendly graphical user interface (GUI). The suite also features integrated programs for bibliographic organization, interaction and query, and literature review summaries. This tool presents a robust solution to automate and optimize the process of literature review in academic and industrial research.

Goran Petrevski

This paper surveys the empirical literature of inflation targeting. The main findings from our review are the following: there is robust empirical evidence that larger and more developed countries are more likely to adopt the IT regime; the introduction of this regime is conditional on previous disinflation, greater exchange rate flexibility, central bank independence, and higher level of financial development; the empirical evidence has failed to provide convincing evidence that IT itself may serve as an effective tool for stabilizing inflation expectations and for reducing inflation persistence; the empirical research focused on advanced economies has failed to provide convincing evidence on the beneficial effects of IT on inflation performance, while there is some evidence that the gains from the IT regime may have been more prevalent in the emerging market economies; there is not convincing evidence that IT is associated with either higher output growth or lower output variability; the empirical research suggests that IT may have differential effects on exchange-rate volatility in advanced economies versus EMEs; although the empirical evidence on the impact of IT on fiscal policy is quite limited, it supports the idea that IT indeed improves fiscal discipline; the empirical support to the proposition that IT is associated with lower disinflation costs seems to be rather weak. Therefore, the accumulated empirical literature implies that IT does not produce superior macroeconomic benefits in comparison with the alternative monetary strategies or, at most, they are quite modest.

Walter Hernandez Cruz, Kamil Tylinski, Alastair Moore et al.

Distributed Ledger Technology (DLT) faces increasing environmental scrutiny, particularly concerning the energy consumption of the Proof of Work (PoW) consensus mechanism and broader Environmental, Social, and Governance (ESG) issues. However, existing systematic literature reviews of DLT rely on limited analyses of citations, abstracts, and keywords, failing to fully capture the field's complexity and ESG concerns. We address these challenges by analyzing the full text of 24,539 publications using Natural Language Processing (NLP) with our manually labeled Named Entity Recognition (NER) dataset of 39,427 entities for DLT. This methodology identified 505 key publications at the DLT/ESG intersection, enabling comprehensive domain analysis. Our combined NLP and temporal graph analysis reveals critical trends in DLT evolution and ESG impacts, including cryptography and peer-to-peer networks research's foundational influence, Bitcoin's persistent impact on research and environmental concerns (a "Lindy effect"), Ethereum's catalytic role on Proof of Stake (PoS) and smart contract adoption, and the industry's progressive shift toward energy-efficient consensus mechanisms. Our contributions include the first DLT-specific NER dataset addressing the scarcity of high-quality labeled NLP data in blockchain research, a methodology integrating NLP and temporal graph analysis for large-scale interdisciplinary literature reviews, and the first NLP-driven literature review focusing on DLT's ESG aspects.

Ainayya Almira, Anisah Rachmawati, Insi Norma Jelita et al.

The aim of this research is to provide insight to chemistry education teachers and researchers regarding the effectiveness of the guided inquiry learning model and provide direction for further research in this field. The research method used in this article is Systematic Literature Review (SLR), to help compile and evaluate various research related to the guided inquiry learning model. The instrument used in this research is to present the results of a literature review of various articles discussing the application of this model in chemistry learning by exploring the definition, application, strengths, weaknesses and effectiveness of the guided inquiry learning model in chemistry learning. The research results show that the application of this model can be carried out both in the theoretical and practical aspects of chemistry learning. The advantages of the guided inquiry model involve students actively, increase learning independence, and provide students with the opportunity to discuss and find their own answers. Students who study with this model tend to have higher learning achievements. However, there are also disadvantages, such as the time required to implement this model and obstacles in dealing with students who are not yet familiar with this approach.

Erkan Karabulut, Salvatore F. Pileggi, Paul Groth et al.

Digital Twins (DT) facilitate monitoring and reasoning processes in cyber-physical systems. They have progressively gained popularity over the past years because of intense research activity and industrial advancements. Cognitive Twins is a novel concept, recently coined to refer to the involvement of Semantic Web technology in DTs. Recent studies address the relevance of ontologies and knowledge graphs in the context of DTs, in terms of knowledge representation, interoperability and automatic reasoning. However, there is no comprehensive analysis of how semantic technologies, and specifically ontologies, are utilized within DTs. This Systematic Literature Review (SLR) is based on the analysis of 82 research articles, that either propose or benefit from ontologies with respect to DT. The paper uses different analysis perspectives, including a structural analysis based on a reference DT architecture, and an application-specific analysis to specifically address the different domains, such as Manufacturing and Infrastructure. The review also identifies open issues and possible research directions on the usage of ontologies and knowledge graphs in DTs.