A Descriptive Analysis of Visual and Oculomotor Skills in Federated University Athletes by Miguel Ángel Sánchez-Tena, Xabier Rodríguez-Alonso, Clara Martinez-Perez, José Francisco Tornero-Aguilera, Vicente J. Clemente-Suárez, Celia Sanchez-Ramos, Cristina Alvarez-Peregrina

“…Incorporating validated psychological assessments and exploring longitudinal designs could further enhance an understanding of the interplay between visual skills, motivation, and athletic performance.…”
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Development of a Magnetic LED-based Sterilisator for Inactivation of Contaminant Bacteria by Yonatan ., Suryani Dyah Astuti, Khusnul Ain, Deny Arifianto, Ahmad Khalil Yaqubi, Perwira Annissa Dyah Permatasari

“…Sterilization is a process designed to eliminate or destroy all forms of microorganisms, including bacteria, fungi, and viruses, on objects or in environments, preventing them from reproducing or causing infections. …”
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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

“…The dataset covers various agricultural fields in Spain, focusing on two summer crops: maize and tomato. It is designed to enhance early-season weed classification accuracy by including images from two phenological stages. …”
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Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data by Amr Seifelnasr, Chen Sun, Peng Ding, Xiuhua April Si, Jinxiang Xi

“…These data are valuable for researchers aiming to understand the etiology of dysphagia and can be reused to validate computational models, guide future experimental designs, and inform clinical diagnostics and treatment strategies. …”
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A Low-Complexity Diversity-Preserving Universal Bit-Flipping Enhanced Hard Decision Decoder for Arbitrary Linear Codes by Praveen Sai Bere, Mohammed Zafar Ali Khan, Lajos Hanzo

“…We introduce a novel enhanced hard-decision decoder termed as the Diversity Flip decoder (DFD) designed for preserving the diversity order. Moreover, it exhibits ‘universal’ applicability to all linear block codes. …”
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Efficacy analysis of folic acid in chronic atrophic gastritis with Helicobacter pylori infection: a systematic review and meta-analysis by Hui Li, Jincheng Li, Mingyu Lai

“…Data were extracted using a pre-designed extraction tool and analysis was undertaken using RevMan5.4 and STAT15.1. …”
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An Experimental Study on Bond Behavior of Rebar and High-Performance Fiber Reinforced Cementitious Composite (HPFRCC) at High Temperatures by Salim Karimpour, Rahmat Madandous, Malek Mohammad Ranjbar, Habib Akbarzadeh Bengar

“…In this work, it was attempted to explore the bond behavior of rebars in high-performance fiber-reinforced cementitious composite (HPFRCC) consisting of hybrid fibers with 1 and 2% by weight of binder for steel and 0.1, 0.2, 0.3, and 0.4% by weight of binder for polypropylene (PP) and polyvinyl alcohol (PVA) fibers along with the compressive and tensile strengths after exposure to high temperature. From 19 mix designs, four superior ones which experienced lower reduction in compressive strength at 400 and 600 oC was selected in order to investigate the bond behavior of rebar in HPFRCC specimens using direct pullout and RILEM beam tests. …”
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Non‐Invasive Tumor‐Naïve Minimal Residual Disease Detection of Liver Cancer by Incorporating Circulating Tumor DNA Features and Alpha‐Fetoprotein: A Prospective Study by Qingqi Ren, Shiyong Li, Guolin Zhong, Yunfei Li, Dao‐Ling Huang, Liangliang Zhang, Yumin Feng, Guanghui Long, Mao Mao

“…In this study, we expanded upon our previously developed multi‐omics assay, initially designed for liver cancer early detection by calculating a cancer signal score (PHCC), to determine the MRD status (named SeekInCure). …”
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Use of Attention Maps to Enrich Discriminability in Deep Learning Prediction Models Using Longitudinal Data from Electronic Health Records by Lucía A. Carrasco-Ribelles, Margarita Cabrera-Bean, Jose Llanes-Jurado, Concepción Violán

“…Objective: In this work several attention-based deep learning architectures with increasing degrees of complexity were designed and compared aiming to study the balance between discriminability and plausibility with architecture complexity when working with longitudinal data from Electronic Health Records (EHRs). …”
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Blood molecular subtypes to guide precision treatment strategies in systemic juvenile idiopathic arthritis by In-Woon Baek, Jung Woo Rhim, Kyung-Su Park, Ki-Jo Kim

“…The molecular signatures of three novel sJIA subgroups (designated as C1, C2, and C3) were investigated, focusing on their distinct features and treatment responses. …”
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Development of Chatbot-Based Oral Health Care for Young Children and Evaluation of its Effectiveness, Usability, and Acceptability: Mixed Methods Study by Kittiwara Pupong, Jaranya Hunsrisakhun, Samerchit Pithpornchaiyakul, Supawadee Naorungroj

“…MethodsThe chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3‐5 minutes of daily use over 30 days. …”
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Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. by Hamidreza Moradi, H Timothy Bunnell, Bradley S Price, Maryam Khodaverdi, Michael T Vest, James Z Porterfield, Alfred J Anzalone, Susan L Santangelo, Wesley Kimble, Jeremy Harper, William B Hillegass, Sally L Hodder, National COVID Cohort Collaborative (N3C) Consortium

“…However, they rarely are designed to assess treatment combinations across all relevant subgroups. …”
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NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection by Ye Li, Li Yang, Meifang Yang, Fei Yan, Tonghua Liu, Chensi Guo, Rufeng Chen

“…Additionally, these methods often fail to effectively integrate multimodal inputs, which restricts their adaptability and generalization capabilities when facing complex and diverse scenarios.MethodsTo address these challenges, we introduce NavBLIP, a novel visual-language model specifically designed to enhance UAV navigation and object detection by utilizing multimodal data. …”
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PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution by Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen

“…Then, a dual-branch architecture of the polarimetric and spatial feature extraction block is designed to extract both polarimetric and spatial features separately. …”
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DMPNet: dual-path and multi-scale pansharpening network by Gurpreet Kaur, Manisha Malhotra, Dilbag Singh, Dilbag Singh, Sunita Singhal

“…It consists of three modules: the feature extraction module (FEM), the multi-scale adaptive attention fusion module (MSAAF), and the image reconstruction module (IRM). The FEM is designed with two paths, namely the primary and secondary paths. …”
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PERCEPTION OF ONLINE VERSUS PHYSICAL LEARNING AMONGUNIVERSITY STUDENTS by Ramna Shafique, Muhammad Abdullah, Tooba Nasir, Sundas Salim, Sabrina Jam, Bina Fawad

“…The data was collected online via Google Forms. A structured, self-designed questionnaire was used to gather data. The chi-square statistic was used to evaluate the relationship between gender, teaching institute, knowledge, attitude, and practice. …”
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High-Flow Nasal Cannula versus Noninvasive Ventilation in AECOPD Patients with Respiratory Acidosis: A Retrospective Propensity Score-Matched Study by Meng Wang, Feifan Zhao, Lina Sun, Ying Liang, Wei Yan, Xiaoyan Sun, Qingtao Zhou, Bei He

“…NT-proBNP may be an important factor for HFNC failure in these patients. Further well-designed randomized controlled trials are needed for more accurate and reliable results.…”
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Selective Vulnerability of the Cochlear Basal Turn to Acrylonitrile and Noise by B. Pouyatos, C. A. Gearhart, A. Nelson-Miller, S. Fulton, L. D. Fechter

“…The present study was designed to determine whether the basal cochlea is selectively sensitive to acrylonitrile or whether, by adjusting the frequency of the noise band, it would be possible to control the region of the auditory impairment. …”
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Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification by Mohammed Hussain, Thaer Thaher, Mohamed Basel Almourad, Majdi Mafarja

“…In this paper, we propose an optimized deep learning architecture called EHGS-VGG16 designed based on the VGG16 model and boosted by an enhanced Hunger Games Search (EHGS) algorithm for hyperparameter tuning. …”
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Cost-Effective Autonomous Drone Navigation Using Reinforcement Learning: Simulation and Real-World Validation by Tomasz Czarnecki, Marek Stawowy, Adam Kadłubowski

“…Reinforcement learning machine algorithms designed to solve problems requiring optimization of the solution for the highest possible reward were used. …”
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