Passive exposure and perceptions of smoke-free policies in hospital and university campuses among nursing students: A cross-sectional multicenter study by Marcela Fu, Yolanda Castellano, Kenza Laroussy, Antoni Baena, Mercè Margalef, Ariadna Feliu, Jordi Galimany-Masclans, Montse Puig-Llobet, Carmen Moreno-Arroyo, Raül Sancho, Albert Bueno, Antonio López, Joseph Guydish, Esteve Fernández, Cristina Martínez

“…A questionnaire gathered information on SHS exposure, awareness of the smoke-free regulation in acutecare hospitals, and support for smoke-free policies in indoor and outdoor areas of hospitals and university campuses. …”
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Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model by Jian Ding, Jian Ding, Zheng Long, Yiming Liu, Min Wang

“…This study aims to use the MIMIC-V database and various regression and machine learning models to screen and validate features closely related to aCCI, providing a theoretical basis for personalized management of AD patients.MethodsThe research data is sourced from the MIMIC-V database, which contains detailed clinical information of AD patients. Multiple logistic regression, LASSO regression, random forest, Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) models were used to screen for feature factors significantly correlated with aCCI. …”
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La autoayuda en tiempos de la COVID-19 by Idania María Otero-Ramos, Evelyn Fernández-Castillo, Diana Rosa Rodríguez-González, Annia Esther Vizcaíno-Escobar

“…Método: Se realizó un estudio cualitativo mediante un diseño de investigación-acción, este se estructuró como un proceso de difusión de innovaciones y siguió tres etapas de trabajo: conocimiento de la innovación, persuasión para la adopción de la innovación y decisión de adopción de la innovación Resultados: Hasta el cierre de este informe, se alcanzó un promedio de 23 930 visitas para la totalidad de los 10 boletines publicados. …”
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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

“…The framework consists of two key components: a deep learning model to segment video streams and identify potential near-miss or crash incidents and a multimodal large language model (MLLM) to further analyze and extract narrative information from the identified events. We evaluated three deep learning models—CNN, Vision Transformers (ViTs), and CNN+LSTM—on a dataset specifically curated for three-class classification (crashes, near-misses, and normal driving events). …”
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Comparison of the adequacies of the OSCE and vOSCE to assess the competencies required under Brazilian medical curriculum guidelines: a multicenter study by Hervaldo Sampaio Carvalho, Maria do Carmo Barros Melo, Fabiana Maria Kakehasi, Priscila Menezes Ferri Liu, Fernanda Gontijo Minafra Silveira Santos, Ricardo Luiz de Melo Martins, Marilene Vale de Castro Monteiro, Marcelo Esteves Chaves Campos, Roberto Zonato Esteves, Matheus Belloni Torsani, Iolanda de Fátima Lopes Calvo Tiberio, Akihito Inca Atahualpa Urdiales, Andrea Mora De Marco Novellino, Rosiane Viana Zuza Diniz, Helena Ferreira Moura, Maria Alice de Vilhena Toledo, Célia Regina Machado Saldanha, Andrea Pedrosa Ribeiro Alves Oliveira, Patricia Zen Tempski, Itamar de Souza Santos, Milton de Arruda Martins

“…Abstract Background The COVID-19 pandemic has led to the popularization of information and communication technology in medical education. …”
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A qualitative research on the willingness and influencing factors of participating in early screening among ethnic minority patients with breast cancer in rural areas (农村地区少数民族乳腺癌患... by ZHANG Xuan (张旋), PEI Qiuping (裴秋萍), YOU Jiaojiao (游娇娇), HUANG Shuai (黄帅)

“…Results Four main themes were extracted: lack of correct understanding of breast cancer; Lack of awareness of early screening and self-examination; Single access to get breast cancer information; Reasons for reluctance to screen. Conclusion The participation in early screening was not optimistic among ethnic minority patients with breast cancer in rural areas. …”
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Ethnobotanical survey on anti-tuberculosis plants in Mbujimayi, Democratic Republic of the Congo by Malangu Lambert Muamba, Kitambala Marsi Mbayo, Numbi Evodie Wa Ilunga, Ilunga Eddy Mbuyu, Kabeya Justin Kanda, Otete François Dikala, Ebalantshim Daniel Munakongo, Mwinensenge James Maloba, Nonga Welcome Muyumba, Kalonji Serge Mbuyi, Muya Richard Kalunga, Tsheko Manya, Kihuya Eddy Ngoy, B. J. Kanangila, Mutombo Emery Kalonda, Kankenza Léonard Kalanda, Simbi Jean-Baptiste Lumbu, Clement L. LIYONGO

“…Methods An ethnobotanical survey was conducted through interviews using a structured questionnaire with 46 resource persons, including household members, herbalists, and traditional practitioners. Information was collected on plant species considered to have anti-tuberculosis properties, the plant parts used, preparation methods, administration routes, and dosage of medicinal recipes. …”
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Who is to blame for the ‘problem’ of teenage pregnancy? Narratives of blame in two South African communities by Zoe Duby, Brittany Bunce, Chantal Fowler, Kate Bergh, Kim Jonas, Nevilene Slingers, Catherine Mathews, Fareed Abdullah

“…Policies and programmes should focus on both providing sufficient support to AGYW, while also addressing structural factors and harmful narratives and thus create the conditions necessary to enable AGYW to enact safe, informed, agentic and responsible decisions and behaviours about their own sexual and reproductive health.…”
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Prediction of pathological complete response after neoadjuvant chemotherapy for HER2-negative breast cancer patients with routine immunohistochemical markers by Lothar Häberle, Ramona Erber, Paul Gass, Alexander Hein, Melitta Niklos, Bernhard Volz, Carolin C. Hack, Rüdiger Schulz-Wendtland, Hanna Huebner, Chloë Goossens, Matthias Christgen, Thilo Dörk, Tjoung-Won Park-Simon, Andreas Schneeweiss, Michael Untch, Valentina Nekljudova, Sibylle Loibl, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching

“…Individualized pCR prediction based on clinical information available at biopsy, particularly immunohistochemical (IHC) markers, may help identify patients who could benefit from preoperative chemotherapy. …”
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Durvalumab and tremelimumab in combination with metronomic oral vinorelbine for recurrent advanced cervical cancer: an open-label phase I/II study by Pernelle Lavaud, Esma Saada-Bouzid, Renaud Sabatier, Olivia Le Saux, Thibault de la Motte Rouge, Anthony Gonçalves, Elodie Coquan, Jean-Sébastien Frenel, Marta Jiménez, Alice Hervieu, Laurent Mathiot, François Legrand, Claire Cropet, Edith Borcoman, Emmanuelle Charafe

“…The CBR was 53.1% (95% CI, 36.0% to 69.8%), using a non-informative prior distribution (beta(1, 1)). The overall response rate was 41.9%, five patients achieved a complete response (16.1%), and eight patients (25.8%) had a partial response irrespective of histological subtype or programmed death-ligand 1 (PD-L1) expression. …”
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Analysis of changes in the genome of the Omsk hemorrhagic fever virus (Flaviviridae: <i>Orthoflavivirus</i>) during laboratory practices for virus preservation by Zhanna S. Tyulko, Artem V. Fadeev, Aleksei G. Vasilenko, Ekaterina A. Gradoboeva, Valerii V. Yakimenko, Andrey B. Komissarov

“…Linked nucleotide substitutions were identified by calculating the mutual information for each pair of columns in the array of aligned nucleotide sequences. …”
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Individual and community level maternal factors for zero-dose children in Ethiopia using mini-EDHS 2019: a mixed effects model by Anteneh Kassa Yalew, Werkneh Melkie Tilahun, Meron Asmamaw Alemayehu, Tigabu Kidie Tesfie, Muluken Chanie Agimas, Mekuriaw Nibret Aweke, Worku Necho Asferie, Moges Tadesse Abebe

“…Model selection was conducted using Akaike information criteria. To identify significant factors for zero-dose children, a p value of &lt;0.05 with 95% CI was used.Results The prevalence of zero-dose children among children aged 12–35 months was 523 (16.3%, 95% CI 15% to 17.6%). …”
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Phase II randomised, double-blind, placebo-controlled trial to assess the efficacy and safety of MLC1501 in patients with stroke: the MLC1501 study Assessing Efficacy in post-STrOk... by Narayanaswamy Venketasubramanian, Deidre Anne De Silva, Christopher P L H Chen, Cyrus G Escabillas, John Harold Hiyadan, Johnny K Lokin, Romulo U Esagunde, Joel M Advincula, Christian Oliver C Co, Maria Epifania V Collantes, Annabelle Y Lao, Yeow-Hoay Koh, Carol Huilian Tham

“…Efficacy outcomes evaluated in person at baseline, 12 weeks and 24 weeks include the FMA (total, upper extremity and lower extremity motor scores), modified Rankin Scale (mRS), Patient-Reported Outcomes Measurement Information System–Global Health (PROMIS-10) and NIHSS. …”
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Hepatitis B Virus-KMT2B Integration Drives Hepatic Oncogenic Processes in a Human Gene-edited Induced Pluripotent Stem Cells-derived ModelSummary by Jun Tsuchiya, Masato Miyoshi, Sei Kakinuma, Fukiko Kawai-Kitahata, Akihide Kamiya, Taro Shimizu, Ayako Sato, Keiya Watakabe, Tomohiro Mochida, Kento Inada, Rion Kamimae, Shun Kaneko, Miyako Murakawa, Sayuri Nitta, Mina Nakagawa, Mamoru Watanabe, Yasuhiro Asahina, Ryuichi Okamoto

“…Methods: Based on the genetic information on HBV-KMT2B integration in HCC, we determined its complete DNA sequence and transcript variants. …”
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Fetal-BET: Brain Extraction Tool for Fetal MRI by Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour

“…<italic>Conclusions:</italic>By leveraging rich information from diverse multi-modality fetal MRI data, our proposed deep learning solution enables precise delineation of the fetal brain on various fetal MRI sequences. …”
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Accessibility of Patients With Special Healthcare Needs to Dental Care in the Eastern Province of Saudi Arabia: A Multicentre Study From Perspective of Caregiver and Dental Care Pr... by Tarek Ezzeldin, Mazin Algahtani, Nadia Abdulrahman Alghannam, Faisal Abdulkareem Alsafran, Intisar Ahmad Siddiqui, Hebah Zaki Al-Ghanim, Basma Mohamed Bader, Abdullah Abdulatif Alshubat, Adnan Hamad Almarry, Hussein Hejji IbnAhmed, Sarah Abdulhadi Kanakri, Reem Babiker Eltayeb, Mohammed Ibrahim Almuaybid, Khalaf Ali Al-Wasi

“…The caregiver’s proforma sought information on the demographic characteristics, type of disability, cooperation, medical history, occupation of the parent and patient’s behaviour towards oral hygiene and dental healthcare. …”
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Impact of measles vaccination strategies on vaccination rates in low-income and middle-income countries: a systematic review and meta-analysis by Andrew Hayen, Kiddus Yitbarek, Mirkuzie Woldie, Firew Tekle Bobo, Jane Frawley, Abela Mahimbo, Meru Sheel

“…Furthermore, we identified cost-effective strategies such as geographically informed microplanning, unrestricted vial opening, supplementary immunisation activities, community engagement, outreach programmes and financial incentives.Conclusion Most of the identified vaccination interventions significantly improve measles vaccination coverage and timeliness in LMICs while remaining cost-effective. …”
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Understanding ICU Nursing Knowledge, Perceived Barriers, and Facilitators of Sepsis Recognition and Management: A Cross-Sectional Study by Katherine A. Kissel, MN, RN, Karla D. Krewulak, PhD, Thérèse G. Poulin, BSc, Ken Kuljit S. Parhar, MD, MSc, Daniel J. Niven, MD, PhD, Vanessa M. Doiron, MScHQ, RN, Kirsten M. Fiest, PhD

“…Future research and improvement initiatives should use a theory-informed approach to overcome the pervasive, complex challenges impeding timely sepsis recognition and management.…”
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Effect of a Sodium and Calcium DL-β-Hydroxybutyrate Salt in Healthy Adults by Tobias Fischer, Ulrike Och, Ira Klawon, Tim Och, Marianne Grüneberg, Manfred Fobker, Ursula Bordewick-Dell, Thorsten Marquardt

“…The number of ketone body salts offered on the wellness market is increasing steadily. More information on the kinetics of intake, safety, and tolerance of these products is needed. …”
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Voriconazole Pharmacokinetics Administered at 4 mg/kg IM and IV in Nursehound Sharks (<i>Scyliorhinus stellaris</i>) Under Human Care by Daniela Cañizares-Cooz, Daniel García-Párraga, Sonia Rubio-Langre, Teresa Encinas, Pablo Morón-Elorza

“…Fungal diseases, despite their low incidence in sharks and rays, are considered emerging diseases in this group of animals and can lead to high mortality rates despite treatment. The information available related to the treatment of fungal diseases in elasmobranchs is limited and is frequently based on the empirical knowledge provided by the professionals and clinicians working with these species. …”
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