Vestibular Testing Results in a World-Famous Tightrope Walker by Alexander A. Tarnutzer, Fausto Romano, Nina Feddermann-Demont, Urs Scheifele, Marco Piccirelli, Giovanni Bertolini, Jürg Kesselring, Dominik Straumann

“…These findings highlight the critical role of central computational mechanisms in optimizing multisensory input signals and fully compensating for vestibular asymmetries in this unique case.…”
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Biomarker Patterns and Their Association with Lung Injury in COVID-19 Patients by Alexandru Constantin Sîrbu, Anca Daniela Farcaș, Ioana Corina Bocsan, Maria Adriana Neag, Ștefan Cristian Vesa, Șoimița Mihaela Suciu, Anca Dana Buzoianu

“…<i>Background and Objectives</i>: The study investigates the relationship between accessible biomarkers and the extent of lung damage, assessed with computed tomography (CT) imaging, in patients hospitalized for COVID-19. …”
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Comparative Analysis of Atlas and Neural Network Autosegmentation Methods for Pediatric Craniospinal Irradiation With the Development of a Knowledge-Based Quality Assurance Tool by Ozgur Ates, James Man Git Tsui, Zachary Wooten, Sydney Hutcheson, Rico Zhang, Jared Becksfort, Thomas E. Merchant, Chia-ho Hua

“…Purpose: This study aims to evaluate the performance of Atlas and neural network autosegmentation methods and develop a knowledge-based quality assurance (QA) tool for pediatric craniospinal irradiation (CSI). …”
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Mitigating Diarrhoea-Related Inflammation in Frail Older Adults with Postbiotic-Enhanced Oral Rehydration Solution: Insights from a Randomised, Double-Blind, Placebo-Controlled Stu... by Julian Andrés Mateus Rodríguez, Patricia Rodríguez Sanz, Edgar Kostandyan, Rubén Palacios Sanchez, María Luz Pino Roque, Patricia Chaves Vasquez, Pedro Roy Millán

“…Randomization was stratified by centre using a computer-generated sequence. Participants, caregivers, and outcome assessors were blinded. …”
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A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

“…Recent advancements in computational techniques have facilitated the application of deep learning methods to automate structural planes recognition in borehole images, markedly enhancing identification efficiency and accuracy. …”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…At present, reliable methods for inspecting crimped wire connectors are still primarily based on image recognition evaluations. To address this, we propose an Improved Lightweight Network based on YOLOv8 (ILN-YOLOv8) to achieve high-precision and high-efficiency detection of crimped wire connectors. …”
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Naringin from Citrus maxima peel: a potential therapeutic agent for breast cancer via PKM2 inhibition by Flama Monteiro, Vijith Vittal Shetty, Ranjitha Acharaya, Sriram Naresh, Manne Munikumar, Shilpa S Shetty, Pradeep Nataranjan, Suchetha Kumari N

“…The current research endeavor was directed toward evaluating the chemotherapeutic efficacy of peel extracts of Citrus maxima and its constituent flavonoid, Naringin (NA), in the context of breast cancer, specifically targeting the pyruvate kinase isozyme M2 (PKM2). …”
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Research note: Reference genes selection for gene expression analyses in reproductive turkey (Meleagris gallopavo) with yellow semen syndrome by Ewa M. Drzewiecka, Ewa Liszewska, Krzysztof Kozłowski, Andrzej Ciereszko, Mariola Słowińska

“…The current study aimed to evaluate the most accurate qPCR internal controls that might be used as first-choice-reference genes in studies on the reproductive tract, liver, and immune tissues and cells of adult male turkey breeders. …”
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The influence of adaptive games on the psycho-emotional state of military personnel during rehabilitation by Kateryna Mulyk, Alexander Skaliy, Tetyana Grynova, Tatiana Skaliy, Kseniia Polovinko

“…Purpose: to evaluate the impact of classes using adaptive games on the psychological rehabilitation of military personnel in a health care facility. …”
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Can QuickBrain MRI replace CT as first‐line imaging for select pediatric head trauma? by David C. Sheridan, David Pettersson, Craig D. Newgard, Nathan R. Selden, Mubeen A. Jafri, Amber Lin, Susan Rowell, Matthew L. Hansen

“…Abstract Objective The current standard of care for initial neuroimaging in injured pediatric patients suspected of having traumatic brain injury is computed tomography (CT) that carries risks associated with radiation exposure. …”
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Enhancement of Chest X-Ray Images to Improve Screening Accuracy Rate Using Iterated Function System and Multilayer Fractional-Order Machine Learning Classifier by Chia-Hung Lin, Jian-Xing Wu, Chien-Ming Li, Pi-Yun Chen, Neng-Sheng Pai, Ying-Che Kuo

“…The proposed classifier is evaluated in terms of recall (99.6&#x0025;), precision (87.78&#x0025;), accuracy (88.88&#x0025;), and F1 score (0.9334).…”
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Effectiveness and cost-effectiveness of a web-based routine assessment with integrated recommendations for action for depression and anxiety (RehaCAT+): protocol for a cluster rand... by Reinhold Kilian, Harald Baumeister, Yannik Terhorst, Johannes Knauer, Paula Philippi, Selina Kallinger, Sandro Eiler, Tamara Waldmann, Morten Moshagen, Martina Bader

“…Introduction The integration of a web-based computer-adaptive patient-reported outcome test (CAT) platform with persuasive design optimised features including recommendations for action into routine healthcare could provide a promising way to translate reliable diagnostic results into action. …”
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MOFI-FL, a novel score for detecting hepatic steatosis and predicting cardiometabolic mortality by Juan Reyes-Barrera, Rosalinda Posadas-Sánchez, Gilberto Vargas-Alarcón, Guillermo C. Cardoso-Saldaña, Paloma Almeda-Valdes, Omar Yaxmehen Bello Chavolla, Luis Ortiz-Hernandez, Neftali Eduardo Antonio-Villa

“…Here, we develop the MOFI-FL index, a simplified tool for HS detection, validate its performance against vibration-controlled transient elastography (VCTE), and evaluate its association with all-cause and cause-specific mortality. …”
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Features of coronary pathology and its relationship with myocardial fibrosis markers in patients with resistant hypertension by V. A. Lichikaki, V. F. Mordovin, A. Yu. Falkovskaya, I. V. Zyubanova, M. A. Manukyan, E. I. Solonskaya, A. A. Vtorushina, S. A. Khunkhinova, I. A. Skomkina

“…Aim. To evaluate the severity of coronary atherosclerosis and its association with biochemical markers of fibrosis in patients with coronary artery disease (CAD) and resistant hypertension (RHT).Material and methods. …”
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Effect of locoregional surgery in primary tumors on overall survival in patients with de novo stage IV breast cancer: a systematic review and meta-analysis by Yanbo Sun, Yanbo Sun, Hao Ma, Hao Ma, Yingjie Li, Yingjie Li, Can Zhou

“…BackgroundDue to the controversy in the therapeutic effect of locoregional surgery in primary tumors for patients with de novo stage IV breast cancer, the aim of this study was to evaluate the effect of locoregional surgery on overall survival in patients with de novo stage IV breast cancer.MethodsA computer-based search of PUBMED, Embase, and American Society of Oncology (ASCO) annual meetings abstracts was conducted to identify the prospective trials of the combination of locoregional surgery in primary tumors and systemic therapy in comparison with standard systemic therapy alone for patients with de novo stage IV breast cancer. …”
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Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations by Jia Tang, Virgílio A. Bento, Dalei Hao, Yelu Zeng, Pengcheng Guo, Yu Chen, Qianfeng Wang, Huicong Jia

“…This study evaluates the comparative performance of spatiotemporal fusion and time-series fitting methods for constructing high-spatiotemporal-resolution remote sensing time-series data. …”
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A Seq-to-Seq Temporal Convolutional Network for Volleyball Jump Monitoring Using a Waist-Mounted IMU by Meng Shang, Camilla de Bleecker, Jos Vanrenterghem, Roel de Ridder, Sabine Verschueren, Carolina Varon, Walter de Raedt, Bart Vanrumste

“…A Multi-Layer Temporal Convolutional Network (MS-TCN) was applied for sequence-to-sequence (seq-to-seq) classification without using the sliding window technique. The model was evaluated on volleyball players during a lab session with a fixed protocol of jumping and landing tasks, and during four volleyball training sessions, respectively. …”
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Imaging abnormalities of the acromioclavicular joint and subacromial space are common in asymptomatic shoulders: a systematic review by Thomas Ibounig, Lasse Rämö, Romi Haas, Mark Jones, Teppo L. N. Järvinen, Simo Taimela, Sean Docking, Sharon Sanders, Rachelle Buchbinder

“…Methods We conducted a systematic review of studies examining shoulder imaging abnormalities detected by X-ray, ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) in asymptomatic adults (PROSPERO registration CRD42018090041). …”
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Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset by Bo Zhang, Zekai Shi, Danfeng Hong, Qi Wang, Jian Yang, Haoyuan Ren, Meng Zhang

“…Deep learning-based image super-resolution (SR) has demonstrated high computational efficiency and optimal performance in enhancing bathymetric resolution. …”
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Expanding Multilingual Co-Speech Interaction: The Impact of Enhanced Gesture Units in Text-to-Gesture Synthesis for Digital Humans by Ghazanfar Ali, Woojoo Kim, Muhammad Shahid Anwar, Jae-In Hwang, Ahyoung Choi

“…A comprehensive user study evaluated our hypotheses. The results underscored the positive impact of diverse gestures, supporting the first hypothesis. …”
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