Univates

This study assessed the feasibility of cultivating Lavandula dentata in Technosols produced from fine and coarse coal mining waste, focusing on plant development, substrate functionality, essential oil production, and post-mining ecosystem restoration. The Technosols were formulated using coal waste from the Moatize Coal Mine, Mozambique, combined or not in different configurations with agricultural soil and amended with sewage sludge (3% organic matter) and chemical fertilizer to ensure adequate nutrient availability. The experiments were conducted in 30 L containers, performed in triplicate for each experimental group. All settings allowed good plant growth, although the treatment that used only fine waste presented the closest performance to agricultural soil in terms of the production of aerial biomass. In this case, the dried biomass production of the shoots reached an average of 165 g per pot over 8 months (with a standard deviation of 20.3). The study showed a positive correlation between plant development and the available water capacity of the substrates. The plant tissue of L. dentata, in all the Technosols configurations studied, presented a similar composition to the control, with a biomass composition within the standard range established by the literature. The essential oil production ranged from 0.3 to 0.7% (m/m), averaging 0.5% (m/m), with chemical characteristics also alike the control trial. Technosols composed of coal waste from Moatize appear to be an alternative, both to provide a suitable destination for mining waste and to provide conditions for the revegetation and recovery of degraded areas by coal mining. This avoids the commissioning of nearby areas to supply soil for the restoration process. L. dentata, in addition to its various medical, ornamental, and aromatic uses, has potential as an “ecological trigger” in the restoration process with environmental and socioeconomic benefits.

Esta pesquisa teve como objetivo analisar os desafios e as implicações jurídicas da aplicação da Lei Geral de Proteção de Dados no uso da Inteligência Artificial no contexto educacional brasileiro, buscando compreender como conciliar inovação tecnológica e proteção de direitos fundamentais. Para tanto, adotou-se uma revisão integrativa da literatura, orientada pela estratégia PICO e conduzida conforme as diretrizes PRISMA, com buscas realizadas nas bases SciELO, Scopus, DOAJ e Google Acadêmico, utilizando descritores combinados por operadores booleanos; foram incluídos artigos em português, brasileiros, gratuitos, completos e publicados entre 2023 e 2024, sendo os dados organizados e analisados com o auxílio do software NVivo. Os resultados evidenciaram que, embora a LGPD ofereça arcabouço normativo consistente para proteção de dados no ambiente educacional, sua efetividade frente ao uso da Inteligência Artificial depende da implementação de governança institucional robusta, transparência algorítmica, definição clara de responsabilidades entre agentes de tratamento, capacitação dos profissionais da educação e adoção de medidas específicas de proteção para crianças e adolescentes, revelando que a proteção de dados deve ser compreendida como elemento estruturante de uma transformação digital ética, segura e juridicamente adequada.

RESUMO Introdução: Transtornos psiquiátricos, como ansiedade e depressão, comprometem o humor, o comportamento e a funcionalidade do indivíduo, sendo influenciados por múltiplos fatores, entre os quais os genéticos têm papel central. Objetivo: Esta pesquisa teve como objetivo revisar e analisar variantes gênicas, polimorfismos, fatores de suscetibilidade por gênero, herdabilidade e aspectos epigenéticos associados a esses transtornos. Métodos: Trata-se de uma revisão sistemática realizada nas bases Medline, Cochrane e Scielo, entre 10 de janeiro e 10 de fevereiro de 2025. Foram incluídos estudos observacionais quantitativos (transversais, caso-controle e coorte) de acesso livre nos idiomas português, inglês e espanhol. A busca foi realizada com fator de impacto maior do que 1.0. Resultados: Foram selecionados 15 estudos publicados entre 2009 e 2024, predominando estudos GWAS e com gêmeos, sobretudo em populações britânicas e americanas (29,4%). A correlação genética de 0,82 (IC 95%; 0,61–1,0) entre sintomas de ansiedade e depressão reforça a influência hereditária. Discussão: As variantes gênicas relacionadas à regulação do humor, ao neurodesenvolvimento e ao eixo hipotálamo-hipófise-adrenal — como NPPC, FOXP2, PLEKHA1, DIAPH3, CRY2 e FGF20 — mostraram associação significativa com sintomas afetivos. Mecanismos epigenéticos, incluindo metilação dos genes SLC6A4 e BDNF, além da desregulação do sistema endocanabinoide e da ativação do sistema galanina, evidenciam a interação entre genética e ambiente. Conclusão: Conclui-se que fatores genéticos e epigenéticos são determinantes na origem da ansiedade e da depressão, destacando-se a população britânica pela maior representatividade e impacto científico. Estudos futuros são necessários para aprofundar o entendimento desses mecanismos.

Brazilian microalgae represent an underexplored reservoir of bioactive compounds with promising biotechnological and dermocosmetic applications. In this study, eight native Brazilian microalgae strains were cultivated under control (C) and stress conditions, nitrogen depletion (N) and salt stress (S), to modulate their bioactive profiles. Derived acetone extracts (24 samples) were evaluated for their antioxidant and antibacterial activities relevant to skin health. The antioxidant capacity of extracts was assessed by three complementary methods: ferric reducing antioxidant power (FRAP), 2,2-diphenyl-1-picryl-hydrazyl (DPPH) and superoxide anion radicals scavenging. Additionally, the antibacterial effects against four skin microorganisms (Staphylococcus epidermidis, Staphylococcus hominis, Staphylococcus aureus, and Cutibacterium acnes) were also assessed. Among the tested samples, extracts from Scenedesmus armatus (Extract 40C) and from Chlorella sorokiniana (Extract 198C) displayed the highest antioxidant potential, with DPPH radical reduction of 22.6 ± 1.6% and 20.7 ± 1.9% and FRAP values of 178.3 and 156.8 μmol FeSO4/g extract, respectively. Superoxide scavenging assays showed IC50 values of 150.9 μg/mL for sample 40C and 139.6 μg/mL for sample 198C. Regarding the antibacterial assay, the IC50 values for S. epidermidis were notable, with sample 198C exhibiting the highest potency (10.3 µg/mL), closely matching the standard drug (12.4 µg/mL). The inhibitory capacity against C. acnes showed that samples 40C (58.4 µg/mL) and 198C (83.5 µg/mL) demonstrated antimicrobial relevance. Mechanistic assays suggested that the antibacterial effects of both samples may involve alterations in bacterial membrane integrity and DNA damage. Overall, these findings highlight the dermocosmetic potential of native Brazilian microalgae, still largely untapped in biotechnology, as natural sources of multifunctional ingredients for the development of sustainable skin care formulations.

The aim of this study was to describe aspects of performance in the Tokyo 2020 Olympic street skateboarding competition and compare the men's (M) and women's (W) divisions. Trick attempts (TA = 1118) were extracted from broadcast footage of the semi-finals and finals using notational analysis. Descriptive analyses were adopted to characterise performance, with robust linear mixed-effects models comparing attempt scores (run [RUN] and best-trick [BT]) between divisions. Men's RUN (β = 1.71 [1.43, 1.99]) and BT (β = 1.85 [1.55, 2.15]) scores were higher and more variable than the women. Overall, there was more trick variety during BTs, but less obstacle variability compared to RUNs. Skaters bailed a greater proportion of BT TAs (54.6%) than RUN TAs (14.3%). Men demonstrated greater variety than women by diversifying take-off (M = 28.2% vs. W = 3.3% non-regular) and landing (M = 25.7% vs. W = 6.2% non-regular) stances, attempting more unique tricks (M = 122 vs. W = 74), and using larger feature obstacles (M = 40.7% vs. W = 33.9% of TAs). Alternatively, women demonstrated wider course use during BTs (M = 15% vs. W = 32.1% of all obstacles), corresponding to less feature obstacle use; perhaps indicating a barrier to engagement due to developing physical qualities. Future research should explore men's and women's divisions respectively to understand key factors for success.

Abstract Introduction This is a qualitative and exploratory study conducted at a Family Health Strategy center. Objectives The aim of this research was to present the perception of empathy among health professionals at this center and to understand their experiences, seeking to provide a space for listening and welcoming within healthcare. Methods Data collection involved the application of a sociodemographic questionnaire and the conduction of semi-structured interviews. Data analysis was carried out using the Content Analysis technique. Ten professionals from different fields were interviewed, including community health agents, administrative assistants, nurses, nursing technicians, psychologists, physicians, pharmacists, biomedical professionals, physiotherapists, nutritionists, and dentists. Results The results were organized into three categories: I) Empathy, care, and bonding in professional and healthcare relationships; II) Empathy in the context of disasters and emergencies; III) Empathy and mental health in professional practice: cultivating humanized bonds in healthcare. Conclusion The findings highlight the importance of understanding and supporting the emotional and social needs of healthcare professionals in order to promote a healthier and more resilient work environment.

Abstract PURPOSE The standardized classification of hyperpalatable foods (HPF) was originally established and validated based on dietary data from the North American population. Evaluating the applicability of this classification within the dietary patterns of other populations allows an assessment of its external validity and the potential for generalization across different cultural and nutritional contexts. Our objective was to investigate the presence and characteristics of hyperpalatable foods (HPFs) in the Nutritional Composition Table of Foods Consumed in Brazil (POF, IBGE). METHODS The foods listed in the nutritional table were analyzed and categorized as hyperpalatable or not, including their categories and their protein, fiber and energy density contents. RESULTS One thousand eight hundred ninety foods were analyzed, of which 1095 (57.9%) were classified as HPFs, 37.8%, 46.8% and 92% of which were considered to have high energy density, high protein content and low fiber content, respectively. Most HPFs were classified in the high fat and sodium group (FSOD, 39.2%), while 4.3% met criteria for multiple categories. CONCLUSION These data demonstrate that more than half of the foods on the table are considered HPFs, but a comprehensive analysis of foods composition revealed their heterogeneity. Notably, most hyperpalatable foods identified in the food composition table exhibited low energy density, challenging the common assumption that hyperpalatability is inherently associated with high energy content. Further research in this area is important to improve the understanding of these foods, their classification, and their adaptation to the food culture of the populations.

Objective. The study investigated the association between severe depression prevalence in healthcare workers and various factors during the COVID-19 pandemic. Methods. 610 participants completed an online questionnaire, including the Center for Epidemiologic Studies Depression Scale (CESD). Crude and adjusted prevalence ratios were calculated using Poisson regression. Results. Severe depression prevalence was 62.8%. In the adjusted model, women, and those with a family income of up to 4 minimum wages had a higher outcome prevalence. Factors such as poor working conditions, high stigma perception, elevated concern levels, low professional recognition, and increased medication/psychiatric treatment usage were associated with higher severe depression prevalence during the pandemic. Strengthening public policies for healthcare personnel during public-health disasters is essential.

Alternate (irregular) bearing, characterized by large fluctuations in fruit yield between consecutive years, remains a major constraint to sustainable avocado (Persea americana) production. This study aimed to assess the potential of satellite remote sensing and climatic variables to characterize and predict alternate bearing patterns in commercial orchards in Tzaneen, Limpopo Province, South Africa. Historical yield data (2018–2024) from 46 “Hass” avocado blocks were analyzed alongside Sentinel-2 derived vegetation indices (NDVI, GNDVI, NDRE, CIG, CIRE, EVI2, LSWI) and flowering indices (WYI, NDYI, MTYI). To align temporal scales, all VIs and FIs were aggregated into eight quarterly averages from the two years preceding each yield year and spatially averaged across each orchard block. Climatic predictors including maximum temperature (Tmax), minimum temperature (Tmin), vapor pressure deficit (VPD), and precipitation were screened against historical yields to identify critical periods, with June–October emerging as the most influential months, and these variables were aggregated accordingly to match annual alternate bearing patterns. Five machine learning (ML) algorithms—Random Forest, XGBoost, CATBoost, LightGBM, and TabPFN—were trained and tested using a Leave-One-Year-Out (LOYO) approach. Results showed that VPD, Tmin, and Tmax during the flowering period (July–September) were the most influential variables affecting subsequent yields. TabPFN achieved the highest predictive accuracy (Accuracy = 0.88; AUC = 0.95) and strongest temporal generalization. Spectral gradients between flowering and early fruit drop were lower during “on” years, reflecting stable canopy vigor. This combined use of remote sensing and climatic variables in a ML framework represents a novel approach, and the findings demonstrate that integrating remote sensing and climatic indicators enables early discrimination of “on” and “off” years, supporting proactive orchard management and improved yield stability.