A novel missense pathogenic variant c.9455T > G (p.L3152R) in CDH23 underlies autosomal recessive non-syndromic hearing loss by Ladan Sadeghian, Marziyeh Hoseinzadeh, Mohammad reza Pourreza, Saeed Khalili, Najmeh Fattahi, Mohammad Amin Tabatabaiefar

“…This study aimed to identify the genetic cause of autosomal recessive non-syndromic hearing loss (ARNSHL) in a large Iranian family using next-generation sequencing and structural bioinformatics. Methods After a comprehensive clinical evaluation of a large family with a history of HL the GJB2 gene was sequenced, and 7 loci were screened through genetic linkage analysis. …”
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The analysis of MMP2, MMP3 and MMP9 matrix metalloproteinases genes polymorphism among Russian Caucasian patients with primary open-angle glaucoma by A.V. Shevchenko, V.F. Prokof’ev, V.I. Konenkov, O.V. Ermakova, A.N. Trunov

“…The significant role of matrix metalloproteinases (MMPs) in the remodeling of eye structures during the development of glaucoma is widely discussed in the scientific literature. …”
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Aligning the principles and practice of research integrity and research fairness in global health: a mixed-methods study by Sandra Alba, Rutuja Patil, Martijn Wienia, Masja Straetemans, Francis Kombe, Gowri Gopalakrishna, Harry Coleman, Nima Yaghmaei, Joseph Bukulu Sempa, Jake D Mathewson, Hannah Kabelka, Preeti Sohoni

“…Despite extensive academic discussions, empirical data on these aspects, especially in the context of global health, remain limited.Methods To address this gap, we conducted a mixed-methods study focusing on research integrity and fairness. …”
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Culinary connections: The mediating role of customer brand co-creation behavior in gastronomic and revisit intentions by Ni Made Purnami, Ni Wayan Mujiati, Ayu Putu Laksmi Danyathi, Uswatun Siwi Kartika Sari, Desak Komang Dea Marcellina Putri Darmada

“…This study investigates the mediating role of customer brand co-creation behavior in the effect of gastronomic experience on revisit intention among Generation Z café visitors in Bali, Indonesia. Data were collected from 250 respondents via an online survey and analyzed using Partial Least Squares Structural Equation Modeling. …”
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Longitudinal study of foot-and-mouth disease virus in Northern Nigeria: implications for the roles of small ruminants and environmental contamination in endemic settings by Simon Gubbins, Emma Brown, Yiltawe Wungak, Olumuyiwa Oyekan, Adeyinka J. Adedeji, Sandra I. Ijoma, Rebecca B. Atai, Moses O. Oguche, Mark Samson, Banenat B. Dogonyaro, Fabrizio Rosso, Hayley Hicks, Britta A. Wood, Jemma Wadsworth, Nick Knowles, Donald P. King, Anna B. Ludi, Claire Colenutt, Andrew E. Shaw, Georgina Limon, David O. Ehizibolo

“…The force of infection estimated from age-seroprevalence data for each household was significantly lower in goats compared with both cattle or sheep. …”
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Technology Anxiety in Virtual Reality Adoption: Examining the Impact of Age, Past Experience, and Cybersickness by Eman Al Khalifah, Ramy Hammady, Mahmoud Abdelrahman, Ons Al-Shamaileh, Mostafa Marghany, Hatana El-Jarn, Alyaa Darwish, Yusuf Kurt

“…Using an extended Technology Acceptance Model (TAM), the research integrates age and past use as antecedents of TA and evaluates their influence on perceived ease of use (PEoU), perceived enjoyment (PENJ), and user attitudes. Data from 206 participants were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) following a VR pilgrimage experience. …”
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A multi-species corridor between the Andean Amazonian and Amazon floodplain landscapes: prioritizing ecological connectivity areas for jaguar and threatened ungulates in the north-... by Federico Mosquera-Guerra, Sebastian Barreto, Juan D. Palencia-Rivera, Alexander Velásquez-Valencia, Hugo Mantilla-Meluk, Gustavo A. Bruges-Morales, Alex M. Jiménez-Ortega, Fernando Trujillo, Dolors Armenteras-Pascual

“…To address this gap, we utilized occurrence data for focal species including the jaguar, lowland tapir, and collared peccary. …”
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Integrative analysis of saliva-derived exosomal proteome and lipidome for the diagnosis of esophageal squamous cell carcinoma by Wei Zhong, Jian Liu, Junhua Xie, Zhiyan Zhang, Zhiwen Gong, Zhixiang Yan, Qingdong Cao

“…The proteomic characteristics of ESCC were primarily manifested in immune responses, disruption of tissue structural homeostasis, and enhanced antifungal and antimicrobial humoral immune responses. …”
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Optimized enrichment of murine blood–brain barrier vessels with a critical focus on network hierarchy in post-collection analysis by Hanaa Abdelazim, Audra Barnes, James Stupin, Ranah Hasson, Carmen Muñoz-Ballester, Kenneth L. Young, Stefanie Robel, James W. Smyth, Samy Lamouille, John C. Chappell

“…Positioned between upstream arteries and downstream veins, these microvessels have unique structural features, such as the absence of vascular smooth muscle cells (vSMCs) and a relatively thin basement membrane, to facilitate highly efficient yet selective exchange between the circulation and the brain interstitium. …”
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New approach of PV and thermal modeling to develop feasible cooling solutions for PV in buildings by Cornago Iñaki, Ezquer Mikel, Sorbet Francisco Javier, Kalms Alicia, Diarce Gonzalo, Irulegi Olatz, Zaversky Fritz

“…This work presents a straightforward Building Applied PhotoVoltaic-Thermal element, characterized by its ease of implementation, utilizing conventional photovoltaic modules and standard supporting structures to form a narrow air ventilation channel with the roof of the building. …”
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Addressing System Challenges in Mental Health Services Research for Youth in the Child Welfare System: Insights From the Foster Care Family Navigator Trial by Marina Tolou‐Shams, Megan Ramaiya, Jannet L. Salas, Adrian Aguilera, Martha Shumway, Brian Borsari, Emily Dauria, Jill D. Berrick

“…Systems‐level challenges that impacted proposed research trial design and data collection included: (1) Limited system staff time and compensation processes; (2) Staff training and knowledge; and (3) System disruptions. …”
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A φSa3int (NM3) Prophage Domestication in Staphylococcus aureus Leads to Increased Virulence Through Human Immune Evasion by Roshan Nepal, Ghais Houtak, George Bouras, Sholeh Feizi, Gohar Shaghayegh, Keith Shearwin, Mahnaz Ramezanpour, Alkis James Psaltis, Peter‐John Wormald, Sarah Vreugde

“…Further, φSa3int prophage domestication led to reduced phagocytosis implying φSa3int prophage mediates escape of S. aureus from human innate immunity. Our data further show that in addition to adding novel prophage‐encoded virulence, φSa3int prophage domestication also affects the expression of non‐prophage (bacterial) genes and suppresses expression of structural proteins of resident prophages. …”
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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

“…One notable strength of our method is its ability to accurately predict DTA directly from the sequences of the target proteins, obviating the need for protein 3D structures, which are frequently unavailable in drug discovery. …”
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Adsorptive Removal of Bisphenol A by Polyethylene Meshes Grafted with an Amino Group-Containing Monomer, 2-(Dimethylamino)ethyl Methacrylate by Kazunori Yamada, Saori Terada, Rena Yamamoto, Dương Cẩm Anh, Takaya Naitou, Sakura Yamamoto

“…The cycle of adsorption at pH 8.0 and desorption in a NaOH solution at 100 mM was repeated five times without loss or structural damage. These results indicate PE-g-PDMAEMA meshes can be used as a regenerative adsorbent for BPA removal from aqueous medium.…”
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Minimally invasive nephrectomy for inflammatory renal disease by Paula Andrea Peña, Lynda Torres-Castellanos, Germán Patiño, Stefanía Prada, Luis Gabriel Villarraga, Nicolás Fernández

“…Our experience supports that releasing the kidney first and leaving the hilum for the end is a safe approach when vascular structures are embedded into a single block of inflammatory and scar tissue.…”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…The most discriminatory variables were responsiveness to levodopa, vertical gaze palsy, and the volumes of subcortical structures, including the red nucleus. Conclusion Machine‐learning‐assisted classification of MR‐imaging biomarkers gathered in routine care can assist in the diagnosis of parkinsonian syndromes as part of the diagnostic workup. …”
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Caregivers’ lived experiences of childhood probable pneumonia through a gendered lens in western Kenya by Sarah Hawi Ngere, Charles Olang'o, Kennedy Ochola, Patience Oduor, Caleb K. Sagam, Benard Ochieng, Dickens Omondi, Norbert Peshu, Erick Nyambedha

“…Contribution: This study’s findings emphasise the necessity of a holistic approach when developing intervention geared towards improving healthcare-seeking behaviour by considering the subtler factors beyond structural, social and economic influences.…”
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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…A detailed case study of tungsten (W) demonstrates that data on pure W alone is insufficient for modeling complex defects in uMLIPs, underscoring the critical importance of advanced machine learning architectures and diverse datasets, which include over 100 million structures spanning all elements. …”
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Association Between Anatomic and Clinical Indicators of Injury Severity After Moderate-Severe Traumatic Brain Injury: A Pilot Study Using Multiparametric Magnetic Resonance Imaging by Dmitry Esterov, Ziying Yin, Trevor Persaud, Xiang Shan, Mathew C. Murphy, Richard L. Ehman, John Huston III, Allen W. Brown

“…Future larger studies could lead to the development of prediction models that integrate clinical data with anatomical (MRI), structural (DTI), and mechanical (MRE) changes caused by TBI, to inform prognosis and care planning.…”
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Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals by Caio B. S. Maior, Sandrely P. Silva, Isis D. Lins, Ana Lisa Gomes, Marcio C. Moura

“…Since 2021, the COVID-19 pandemic has affected global health, economies, and societal structures, leading to great attention to new research and awareness. …”
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