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Measuring Mental Health in 2 Brazilian University Centers: Protocol for a Cohort Survey

Talita Di Santi, Ariana Gomes Nascimento, Pedro Fukuti, Vinnie Marchisio, Gian Carlo Araujo do Amaral, Camille Figueiredo Peternella Vaz, Luiz David Finotti Carrijo, Lilian Cristie de Oliveira, Luiz Octávio da Costa, Elisângela Mancini Marion Konieczniak, Luana Aparecida Zuppi Garcia, Vanessa Cristina Cabrelon Jusevicius, Eduardo de Castro Humes, Paulo Rossi Menezes, Euripedes Miguel, Arthur Caye

JMIR Res Protoc 2025;14:e63636

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Effects and Acceptability of a 1-Week Home-Based Virtual Reality Training for Supporting the Management of Stress and Anxiety: Randomized Pilot Trial

The research was approved by the Ethics Committee of the University of Milan-Bicocca (ie, approval 0061757/20 on September 25, 2020) and of the Foundation IRCCS Carlo Besta Neurological Institute Foundation (ie, approval number 75 on September 16, 2020). This study followed the ethical standards outlined in the Declaration of Helsinki (1964) and its subsequent revisions.

Federica Pallavicini, Eleonora Orena, Lisa Arnoldi, Federica Achille, Stefano Stefanini, Maddalena Cassa, Alessandro Pepe, Guido Veronese, Luca Bernardelli, Francesca Sforza, Sara Fascendini, Carlo Alberto Defanti, Marco Gemma, Massimo Clerici, Giuseppe Riva, Fabrizia Mantovani

JMIR Serious Games 2025;13:e50326

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Exploring Dance as a Therapeutic Approach for Parkinson Disease Through the Social Robotics for Active and Healthy Ageing (SI-Robotics): Results From a Technical Feasibility Study

Roberta Bevilacqua, Elvira Maranesi, Marco Benadduci, Gabriella Cortellessa, Alessandro Umbrico, Francesca Fracasso, Giovanni Melone, Arianna Margaritini, Angela La Forgia, Pierpaolo Di Bitonto, Ada Potenza, Laura Fiorini, Carlo La Viola, Filippo Cavallo, Alessandro Leone, Andrea Caroppo, Gabriele Rescio, Mauro Marzorati, Amedeo Cesta, Giuseppe Pelliccioni, Giovanni Renato Riccardi, Lorena Rossi

JMIR Aging 2025;8:e62930

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True Mitotic Count Prediction in Gastrointestinal Stromal Tumors: Bayesian Network Model and PROMETheus (Preoperative Mitosis Estimator Tool) Application Development

Stan is a probabilistic programming language that runs a No U-Turn sampler, an extension to Hamiltonian Monte Carlo (HMC) sampling, which is itself a form of Markov Chain Monte Carlo (MCMC) [44]. To promote regularization and reduce overfitting, we used a multilevel-hierarchical modeling strategy [39,45,46]. Distributions (likelihood and priors) were chosen with maximum entropy criteria [39]. To understand priors’ implications, we run prior predictive simulations [37,38,46].

Salvatore Lorenzo Renne, Manuela Cammelli, Ilaria Santori, Marta Tassan-Mangina, Laura Samà, Laura Ruspi, Federico Sicoli, Piergiuseppe Colombo, Luigi Maria Terracciano, Vittorio Quagliuolo, Ferdinando Carlo Maria Cananzi