Luciano Antonio Digiampietri

Background and Aims: Understanding how plant traits mediate adaptation and diversification across contrasting environments remains a major challenge in evolutionary ecology. This gap is especially evident in the Neotropics, where savannahs and seasonally dry tropical forests (SDTFs), represented here by the Cerrado and Caatinga phytogeographic domains, differ markedly in climate and ecological filters, yet remain under-represented in trait-based evolutionary studies. Here we investigated the evolutionary history of Discocactus (Cactaceae) to identify which morphological characters are associated with species occurrence across these contrasting biomes and to place these patterns within a phylogenetic and temporal framework. Methods: We generated a time-calibrated phylogenomic hypothesis for Discocactus using the Cactaceae591 probe set and integrated predictive machine learning, ancestral state reconstruction and phylogenetic comparative analyses to identify morphological characters associated with species occurrence in the savannah and SDTF biomes. Key Results: We recovered the first dated phylogeny for Discocactus, providing evidence for the recognition of 16 distinct species, including the reinstatement of D. boomianus. Divergence-time analyses indicate that the genus originated in the Pliocene and diversified rapidly during the Plio–Pleistocene transition, particularly within a major savannah-associated clade. Across analyses, flower length and stem diameter emerged as the main morphological characters associated with biome occupancy. Both characters also showed significant associations with climatic variation in phylogenetically informed regression analyses, with SDTF species tending to have shorter flowers and smaller stems than savannah species. Conclusions: Our results provide a robust phylogenomic framework for interpreting diversification in Discocactus and show that morphological differentiation within the genus is associated with ecological contrasts between Neotropical SDTF and savannah biomes. By integrating phylogenomics, predictive modelling and phylogenetic comparative methods, this study highlights how genomic and trait-based approaches can help explain character evolution and diversification across contrasting environments.

The increasing use of digital data in electoral prediction has motivated a growing body of computational research, yet the field remains methodologically diverse and lacks consolidated comparative frameworks. This article presents a systematic review of computational approaches for electoral outcome prediction using digital data between 2020 and 2025. Following rigorous systematic methodology, searches were conducted across three scientific databases, resulting in 80 primary studies analyzed after applying explicit quality criteria. The review proposes a taxonomy classifying studies by data integration and predictive complexity, enabling systematic identification of methodological patterns. Results reveal geographic concentration in few countries, with Twitter as the dominant platform and sentiment analysis as the most frequent technique. Vote percentage prediction and winner identification represent the primary objectives, evaluated mainly through regression and classification metrics. The field demonstrates numerical expansion with modest geographic diversification, yet persistent challenges remain regarding sample representativeness, cross-context generalization, and absence of standardized validation protocols. Findings indicate the need for broader geographic coverage, reduced platform dependency, and establishment of uniform evaluation criteria to advance methodological maturity in computational electoral prediction.

Trabalha-se com um estudo bibliométrico do tipo avaliativo. Seu corpus consiste em 24 periódicos brasileiros de turismo; o objeto de estudo são os artigos neles publicados, em 2020-2024, e suas citações. Há dois objetivos principais, a saber: i) avaliar a trajetória das citações; ii) avaliar e ordenar esses periódicos, segundo seu impacto (citações). Os materiais e métodos consistem na coleta, revisão e desambiguação manuais dos artigos e citações, estatística descritiva e cálculo dos índices H e G. Os resultados são comparados aos de 1990-2018, por meio de literatura. A Revista Brasileira de Pesquisa em Turismo ocupa a primeira posição para todas as métricas e rankings, via de regra com resultados muito acima do periódico seguinte. A Revista Rosa dos Ventos destaca-se nas métricas e rankings baseados no conjunto de artigos mais citados para cada periódico, aproximando-se, neles, dos resultados da Revista Brasileira de Pesquisa em Turismo. Complementam o primeiro quartil dos periódicos mais citados a Anais Brasileiros de Estudos Turísticos, PODIUM Sport, Leisure and Tourism Review, Turismo: Visão e Ação e Revista Acadêmica Observatório de Inovação do Turismo. Houve profundas mudanças nos rankings de impacto e nos índices H e G, em comparação com os resultados do período 1990-2018.

Purpose: This study investigates the diversity of national scholarly journal publishing ecosystems in seven countries across Europe and Latin America: Argentina, Brazil, Colombia, Finland, Mexico, Poland, and Türkiye. It challenges the common perception that global scholarly publishing is dominated by international commercial publishers by examining national publishing structures beyond English speaking contexts. Design/methodology/approach: Using ISSN Centre data and national sources, we analyse journal-level publishing structures rather than article- or citation-level outputs. Publishers were categorized according to their institutional and organizational characteristics. The analysis focuses on active journals, defined as those with a recorded start year and no identified termination date. Journal coverage in Web of Science, Scopus, and OpenAlex was examined to assess how national publishing landscapes are represented in major bibliometric databases. Findings: Educational institutions emerge as the primary publishers in most countries, representing more than 75 % of journals in Colombia and Brazil and more than 50 % in Mexico, Argentina, and Poland. Finland stands out, with scientific and professional associations leading journal publication at 62 %. Commercial publishers hold comparatively small shares, reaching their highest levels in Türkiye at 12.1 % and Poland at 8.2 %. In terms of database representation, OpenAlex indexes over half of the journals in most countries, whereas Web of Science (WoS) and Scopus cover only a small portion. Research limitations: The study relies on ISSN and national datasets, which differ in completeness and standardization. Variations in national reporting practices and database indexing policies may influence coverage comparisons. As the analysis is based on currently active journals, historical trends reflect surviving journals only. Practical implications: The results provide evidence for policymakers, database providers, and research evaluators to recognize the diversity of national publishing systems. They highlight the importance of improving data sources and analytical approaches to ensure more accurate assessment of scholarly communication outside heavily commercialized environments. Originality/value: The study offers a comparative analysis of national journal publishing ecosystems across seven countries, revealing structural differences that challenge the assumption of a globally uniform publishing model. It underscores the need for bibliometric research frameworks that include and accurately represent national and regional publishing structures.

Films are key instruments of soft power, culturally influencing globally without coercion, as exemplified by Hollywood’s post-war dominance. However, digitalization has disrupted this dynamic. Traditional data sources no longer accurately reflect the current state of international film trade, which now primarily occurs online. Another challenge is the rise of video streaming, reshaping consumption patterns and undermining the role of theatrical releases. To address these shifts and analyze the evolution of film trade under digital disruption and global competition, we have built a novel dataset on international film trade by compiling cross-border theatrical data from Box Office Mojo and IMDb, covering the period from 2000 to 2021. Applying Social Network Analysis and Gravity models to examine bilateral film trade flows, we investigate their evolution and highlight the transformative impact of streaming and the COVID-19 pandemic. The SNA reveals a highly connected and regionally clustered trade network, with an increasing number of countries integrating into global markets until the pandemic shock. Yet after 2014, we observe a persistent decline in the theatrical consumption of imported films, coinciding with the global expansion of Netflix and other streaming services. Gravity estimates confirm the model’s structural predictions and show diminishing geographic and religious barriers, alongside a rising importance of language proximity as more countries with varied languages begin producing and exporting films. These patterns suggest greater global diversification of film influence. At the same time, the rising relative cost of international versus domestic trade indicates the emergence of government regulations.

User experience (UX) is fundamental for the acceptance and use of information systems. Although there are well-known and widely used UX evaluation techniques for traditional interfaces, a literature review revealed several gaps regarding UX evaluation in non-immersive 3D interaction. One significant gap is the predominant use of pragmatic criteria in assessments, while another is the lack of an approach that evaluates hedonic aspects using facial emotion recognition. This work proposes an approach for automatically evaluating user experience in non-immersive three-dimensional environments, focusing on its hedonic aspects based on facial emotion recognition. An experimental protocol was developed and approved by the Ethics Committee. The experiment was conducted with 52 participants. Throughout the testing period (before, during, and after the interaction), participants' faces were recorded using a low-cost camera. The experiment involved participants playing a game and answering questionnaires, including categorization and mood profile instruments, as well as the UEQ-S and the PLEX Framework. The Face-api.js library was used for facial emotion recognition. The hypothesis that automatic facial emotion recognition can support user experience evaluation was confirmed. This method enabled the estimation of UEQ-S and PLEX questionnaire responses with an average error of approximately ±1 point using only emotion extraction through an artificial intelligence model. Given that UX evaluation is crucial for the acceptance of new software or functionality, this work contributes to improving system quality and acceptance.

O artigo analisa a genealogia acadêmica e os níveis de endogenia dos 12 programas de pós-graduação stricto sensu afiliados à ANPTUR, com foco na formação de seus docentes credenciados e dos orientadores de doutorado deles e nos vínculos de orientação e na colocação profissional dos titulados (mestrado e/ou doutorado). A pesquisa parte da compreensão do turismo como campo científico em consolidação no Brasil, cuja estrutura de formação apresenta, ainda, traços de imobilidade e reprodução restrita de quadros. A metodologia é quantitativa, com análise descritiva baseada em dados coletados manualmente, a partir de currículos Lattes de 203 docentes credenciados (dados de 21 de setembro de 2023), seus orientadores de doutorado e seus orientados (1.084 títulos de mestrado e 154 títulos de doutorado). Foram mapeadas trajetórias formativas, áreas de atuação e instituições de origem, com o cálculo de métricas de endogenia por instituição e unidade da federação. Os resultados revelam forte concentração de orientações em poucos docentes e baixa continuidade acadêmica; menos de 8% dos mestres seguiram para o doutorado, e apenas 11% desses optaram pela formação em turismo (nível: doutorado). A maioria dos egressos atua em instituições públicas de ensino superior (IES), especialmente em institutos federais. A endogenia institucional média foi de 21,18% (doutorado na mesma IES) e territorial de 40,89% (formação total ou parcial na mesma unidade da federação da IES). Conclui-se que, embora o campo tenha expandido-se, prevalecem, ainda, padrões de formação concentrados, com desafios à mobilidade acadêmica e à diversificação de vínculos, o que exige políticas públicas de fortalecimento da área e maior incentivo à circulação de saberes. A principal limitação da pesquisa é ater-se aos docentes credenciados atuais – e, por consequência, seus orientadores de doutorado e orientados –, sem considerar todo o histórico dos programas.

Objective: Global databases such as Web of Science and Scopus have determined the standard indicators to measure the research output in national comparisons and its quality evaluation for decades. Already classic studies of science proved that this landscape of scientific production was distorted by using overly selective bibliographical indexes that were considered “international databases” while their coverage was severely limited. A relevant part of the bibliometric literature in the last 10 years has revolved around the limitations of these global data sources and the search for alternatives to explore more comprehensive universes of the scholarly output, considering all disciplines and languages. Methods: Particularly relevant in this debate are some recently created bibliographic services and search engines that provide new opportunities: Dimensions, Lens, Open Alex, CrossRef and Google Scholar. Our specific contribution to these studies relies on a methodological shift based on a convergence between prosopography and bibliometrics. For that end, we selected two countries that can be considered “peripheral centers” in the Latin American region. Results: Firstly, we determined a universe of national researchers of the National Council for Scientific and Technological Development (CNPq, Brazil) and the National Council for Scientific and Technical Research (CONICET, Argentina). The target populations are composed of 10,619 tenured researchers at CONICET and 14,418 holders of the CNPq’s “research productivity fellowship”. Secondly, we built a database with their comprehensive publishing performance uploaded in the national curricular information systems, the Brazilian Lattes and Argentina’s SIGEVA, that includes metadata for all articles. After computational and manual data cleaning of this database, we retained a total 464,361 articles for Brazil and 81,005 for Argentina published in 2013-2020. Conclusions: The comparative study shows that Argentina and Brazil have similar patterns of coverage in the global databases, although they differ in terms of collaboration practices and national publishing.

User Experience (UX) encompasses many and diverse variables, which contributes to making its evaluation a complex task. Self-evaluation through questionnaires is one of the most commonly used ways to evaluate UX, both in isolation and combined with other instruments or techniques, and there are currently many standardized and validated questionnaires that can be readily applied. Our work suggests a set of dimensions to describe different aspects of UX, and then proposes a methodology to quantify and compare how much different questionnaires emphasize each of these dimensions. We then select a set of ten questionnaires to exemplify the use of our methodology by comparing them in a particular case study. The results show that all selected questionnaires focus on only a few of the dimensions. Our research reinforces the importance of knowing different instruments and being able to compare them, choosing the one best suited to the context of use.

A abundância de artigos disponíveis destaca a crescente relevância dos sistemas de recomendação. Este estudo realizou uma revisão sistemática da literatura com o objetivo de identificar o estado da arte dos sistemas de recomendação de artigos científicos. Foram identificadas abordagens que utilizam embeddings para capturar similaridade semântica, fatoração de matrizes probabilísticas para integrar relações entre artigos e autores. Os resultados indicam uma predominância de modelos híbridos, com utilização de LLMs e modelagem time-aware. Conclui-se que, embora haja avanços significativos, persistem lacunas relacionadas em padronização de métricas e reprodutibilidade dos experimentos, além de oportunidades para o desenvolvimento de modelos contextualmente personalizados.