Methodist University of Piracicaba

Gonçalves Dias, W, Benvenutti Bueno de Camargo, J, Volpi Braz, T, Rodrigues Batista, D, Oenning Col, L, Prestes, J, and Ricardo Lopes, C. A comparison between synergist and nonsynergist resistance training schemes in recreationally trained men. J Strength Cond Res 40(4): 377-385, 2026-The aim of the present study was to compare the effects of 2 different resistance training (RT) schemes (synergist [SN] and nonsynergist [NS]) on both muscle strength and hypertrophy outcomes in recreationally trained subjects. The sample included 22 men that were assigned to 2 experimental groups: NS (push/pull and pull/push exercises, n = 12; age: 20.5 ± 2.3 years; total body mass: 75.1 ± 8.2 kg; height: 179.8 ± 7.8 cm; experience in RT: 2.4 ± 1.4 years) and SN (pull/pull and push/push exercises, n = 10; age: 22.1 ± 3.2 years; total body mass: 82.7 ± 11.7 kg; height: 175.0 ± 7.0 cm; experience in RT: 3.2 ± 1.5 years). Muscle thickness assessments of the triceps brachialis, biceps brachialis, pectoralis major, and one repetition-maximum testing in the bench press and lat pull-down exercises were performed before and after the 8-week intervention period. The total load lifted during each week also was calculated. Both groups displayed significant increases in muscle strength and thickness (NS and SN, p < 0.05), with no significant difference observed between the groups for the dependent variables assessed (all p > 0.05). Therefore, the present study suggests that individuals aiming to increase muscle strength and size may benefit from both training schemes, taking into account personal preferences.

Objetivo: Compreender a percepção dos cirurgiões-dentistas sobre o atendimento a PcDs. Método: Foi realizada pesquisa clínico-qualitativa com entrevistas individuais e em profundidade com roteiro semi-estruturado realizadas com com cirurgiões dentistas atuantes da esfera privada de atendimento. As entrevistas foram audiogravadas e transcritas na íntegra. Posteriormente foram analisadas por pares pesquisadores através da técnica de análise de conteúdo em sete passos. Resultados: Emergiram três categorias: “Os protocolos na formação odontológica e o manejo dos casos: caminhos que facilitam ou rigidez que limita?”, “Entre o idealizado e o possível, surge a frustração” e “A angústia do profissional frente às próprias emoções durante o cuidado”. Conclusão: O atendimento odontológico a PcDs envolve desafios que ultrapassam a técnica, expondo dificuldades emocionais pouco abordadas na formação. A rigidez dos protocolos limita a autonomia dos profissionais, gerando frustração e insegurança diante de casos complexos. Sem preparo para lidar com as próprias emoções, muitos acabam silenciando seu sofrimento durante o exercício da prática clínica.

Abstract Rivers are increasingly fragmented and degraded, yet the European Union Nature Restoration Regulation calls for restoring at least 25,000 kilometres of free-flowing rivers by 2030. Translating this ambition into effective implementation remains challenging because restoration priorities differ across ecological, social, economic, and governance contexts. Here, we synthesize expert knowledge from 45 countries through a structured, multi-step prioritization process to identify research priorities for restoring free-flowing rivers in Europe. We identified 27 priorities and analysed how expert background and spatial context influenced their ranking. Restoration priorities differed systematically depending on whether experts emphasized ecological integrity, community engagement, economic considerations, or governance capacity, revealing clear patterns in how disciplinary and professional perspectives shape implementation pathways. This demonstrates that restoration strategies cannot be universal but must be adapted to local and regional political, institutional, and ecological conditions. Building on these findings, we propose a structured prioritisation framework that links barrier removal, connectivity restoration, governance mechanisms, and policy instruments to context-specific needs. Together, our results provide an empirically grounded and implementation-oriented roadmap to support European Union Member States in delivering ambitious river restoration targets in a context-sensitive and socially robust manner.

This systematic review evaluated the influence of resin-based, eugenol-based and bioceramic endodontic sealers on the bond strength of glass fibre posts cemented with resin cements. Searches were conducted in PubMed, Scopus, Web of Science, Cochrane Library, Google Scholar and Embase, including invitro studies using human or bovine teeth restored with fibre posts. Risk of bias was assessed using the QUIN Tool. Thirty three studies met the eligibility criteria. Most evidence indicates that resin-based sealers promote higher bond strength values than eugenol-based sealers, whereas findings for bioceramic sealers were inconsistent. Only a minority of studies showed a low risk of bias, while most presented moderate methodological limitations. Substantial heterogeneity was also observed, including differences in irrigation protocols, sealer types, adhesive strategies and post-cementation intervals. Within the limitations of the available evidence, resin-based sealers appear to be the most favourable choice for clinical fibre post cementation. PROSPERO Registration Number: CRD42023467018.

This study characterized a cohort of 52 cases of HPV-related multiphenotypic sinonasal carcinoma (HMSC) from Latin America, integrating clinicopathological, immunohistochemical, HPV genotyping, and prognostic data. HMSC predominantly arose in the nasal cavity (n=20/38.46%) of patients in their sixth decade, with equal sex distribution (n=26/50%) and frequent symptomatic presentation. Histopathologically, all tumors displayed epithelial surface dysplasia (n=52/100%). Most cases featured solid proliferations (n=25/48.08%) of basaloid cells (n=46/88.46%), with frequent tumor necrosis (n=41/75.85%). Perineural (n=5/9.62%) and vascular invasion (n=3/5.77%) were uncommon. Most patients underwent surgical excision (n=19/46.34%). Recurrence occurred in 15 of 42 cases (35.71%), although the majority remained disease-free at last follow-up (n=35/85.37%). Immunohistochemistry revealed diffuse p16 expression and variable positivity for squamous and myoepithelial markers. The Ki-67 proliferation index was high overall (median 50.1 [30.7 to 66.3]). HPV genotyping identified HPV 33 as the predominant subtype (n=34/65.38%), with a subset of cases demonstrating coinfections (n=9/17.30%). Survival analysis revealed excellent outcomes (5y OS, DSS, and DFS at 90.1%, 89.7%, and 82.4%, respectively), although regional and distant metastases and HPV coinfections correlated with poorer survival. Our findings underscore the necessity of individual-subtype-specific HPV genotyping to characterize HMSC pathogenesis and refine prognostic stratification accurately.

This study aimed to evaluate the coherence between data heterogeneity and model complexity by comparing seven convolutional neural network (CNN) architectures-trained with and without ImageNet pretraining-in a multiclass framework for the histopathological classification of three odontogenic tumors: adenomatoid odontogenic tumor, ameloblastoma, and ameloblastic carcinoma. The goal was to investigate how transfer learning influences performance and diagnostic reliability in a clinically relevant context characterized by overlapping histological patterns. An international, multicenter cross-sectional dataset of 64 hematoxylin- and eosin-stained whole slide images was analyzed, including adenomatoid odontogenic tumor (n = 16), ameloblastoma (n = 27), and ameloblastic carcinoma (n = 21). Seven CNN models (DenseNet121, EfficientNetV2B0, InceptionV3, MobileNet, ResNet50, VGG16, and Xception) were trained and tested on 455,107 patches (224 × 224 pixels). Performance was assessed using accuracy, balanced accuracy, sensitivity, specificity, F1-score, and AUC. Without ImageNet pretraining, DenseNet121 achieved the highest performance (accuracy = 0.73, balanced accuracy = 0.74, AUC = 0.78, specificity = 0.84, sensitivity = 0.65), followed by EfficientNetV2B0 (accuracy = 0.67, balanced accuracy = 0.68, sensitivity = 0.54). When ImageNet pretraining was applied, performance improved across all architectures. EfficientNetV2B0 reached the best overall results (accuracy = 0.79, balanced accuracy = 0.81, AUC = 0.91, specificity = 0.88, sensitivity = 0.74), while DenseNet121 maintained consistent performance (accuracy = 0.72, balanced accuracy = 0.74, AUC = 0.85, specificity = 0.84, sensitivity = 0.64). Transfer learning with ImageNet weights enhanced the performance of most CNNs, with EfficientNetV2B0 showing the greatest responsiveness to pretraining and DenseNet121 demonstrating intrinsic robustness to initialization. These results highlight the potential of CNN-based frameworks to support the differential diagnosis of odontogenic tumors-an inherently challenging task due to morphological overlap-while establishing reproducible methodological baselines that contribute to the global development of explainable, ensemble-based, and clinically reliable AI systems in oral pathology.

Os Manuais da Iarc sobre Prevenção de Câncer, Volumes 20A e 20B, oferecem uma análise abrangente das evidências científicas sobre a relação entre consumo de álcool e risco de câncer, bem como das políticas públicas voltadas à sua redução. O Volume 20A examina dados epidemiológicos e mecanísticos que demonstram que a redução ou cessação do consumo de bebidas alcoólicas diminui o risco de câncer, com evidências suficientes para cavidade oral e esôfago, limitadas para laringe, colorretal e mama feminina, e inadequadas para faringe e fígado. O Volume 20B avalia políticas sobre álcool, incluindo tributação, precificação mínima, restrições de disponibilidade, proibições de marketing e políticas coordenadas, concluindo que tais medidas reduzem o consumo de álcool. Ambos os volumes reforçam que a prevenção eficaz do câncer exige colaboração multissetorial, envolvendo saúde, políticas públicas, educação e engajamento comunitário. No contexto brasileiro, onde o consumo excessivo permanece elevado, as recomendações da Iarc oferecem subsídios valiosos para integrar estratégias de controle do álcool às políticas nacionais de saúde e reduzir a carga global de câncer.

Accurate estimation of forest biomass at property-level finds diverse applications, being particularly important for REDD + projects (Reducing Emissions from Deforestation and forest Degradation). This study presents a straightforward method for improving carbon stock estimates by integrating geolocated field plot data with open-source large-scale maps. We evaluated the performance of simple predictive models using spatial coordinates and global maps as covariates. Our results demonstrate that even without advanced remote sensing data and complex modeling techniques, incorporating spatial information and open-source data can substantially improve carbon stock estimates. Spatial coordinates and global map information significantly enhanced predictions with a 31.9% decrease in MAE for areas near field plots (i.e., predictions inside the REDD + project), and 18.6% decrease in greater distances (i.e., predictions for the broader region outside the REDD + project). Moreover, our approach allows for the generation of high-resolution wall-to-wall carbon stock maps for entire REDD + project areas, even in the absence of high-quality local remote sensing data. We conclude that large-scale maps, when properly calibrated with local field data, are invaluable for improving carbon stock predictions in tropical forests. Our method is widely applicable, providing a practical solution for users interested in enhancing their carbon stock estimates at a local scale.