The ZJU index is associated with the risk of sarcopenia in American adults aged 20–59: a cross-sectional study by Jia-qi Hao, Shu-yue Hu, Zi-xuan Zhuang, Jia-wan Zhang, Meng-rui Xiong, Rui Wang, Wen Zhuang, Mo-jin Wang

“…Methods We analyzed NHANES data from 2011 to 2018, dividing the ZJU index into quartiles. …”
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Automatic Detection of Tiny Drainage Outlets and Ventilations on Flat Rooftops from Aerial Imagery by L. Arzoumanidis, W. Li, W. Li, J. Knechtel, Y. Kosmayadi, Y. Dehbi

“…The outcomes pave the way for new applications, as detected utilities can act as sparse data points that trigger constraint-based reasoning processes for estimating hidden utility networks in as-built Building Information Modeling (BIM) contexts. …”
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The Relationship of Orofacial Pain and Dental Health Status and Oral Health Behaviours in Facial Burn Patients by Farooq Ahmad Chaudhary, Basaruddin Ahmad, Muhammad Qasim Javed, Shaikh Shoeb Yakub, Bilal Arjumand, Asma Munir Khan, Saeed Mustafa

“…ANOVA and simple and multiple linear regression tests were used to analyse the data. From the 90 facial burn patients included, the majority were below 34 years of age, female, single or divorced, and unemployed. …”
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Australian Dentists' Knowledge of the Consequences of Interpretive Errors in Dental Radiographs and Potential Mitigation Measures by Shwetha Hegde, Shanika Nanayakkara, Stephen Cox, Rajesh Vasa, Jinlong Gao

“…Interpretive errors in dental radiographs, stemming from failures of visual and cognitive processes, can affect both patients and clinicians. …”
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A Two-Storage Inventory Model with Trade Credit Policy and Time-Varying Holding Cost under Quantity Discounts by Alaa Fouad Momena, Rakibul Haque, Mostafijur Rahaman, Sankar Prasad Mondal

“…This study leads toward the consequences of future research scopes with industry-based raw data.…”
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Multimodal Fusion Image Stabilization Algorithm for Bio-Inspired Flapping-Wing Aircraft by Zhikai Wang, Sen Wang, Yiwen Hu, Yangfan Zhou, Na Li, Xiaofeng Zhang

“…The corresponding Inertial Measurement Unit (IMU) sensor data are synchronously collected, which jointly provide reliable support for multimodal modeling. …”
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Agent-based modelling applied to nitrogen and phosphorus assessment in agroecosystems: A case study of a Uruguayan dairy farm by Ignacio Sommer, Robert Faggian, Victor Sposito, Francisco Dieguez Cameroni

“…Nutrient budgeting is a valuable and straightforward method for analyzing farm data and evaluating all the nutrient inputs and outputs. …”
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Development of Web Based Web Based Digital Library as Learning Media in Cosmetology Education Program by Nurhayati Tanjung, Irmiah Nurul Rangkuti, Astrid Sitompul, Wisri Ardhita Manda Putri, Habibah Hanim Lubis, Siti Wahidah, Asrah Rezky Fauzani

“…This study is a type of development research using ADDIE which includes five stages: Analysis, Design, Development, Implementation, and Evaluation. Data collection techniques include observation, interviews, and questionnaires. …”
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Comparative assessment between chewing gum, bite wafers, and ibuprofen in pain control following separators placement among orthodontic patients by Eman Alshayea, Aljazi Aldweesh, Hana Albalbeesi, Mohammad Aldosari

“…Analysis of variance testing was used for the data analysis. Results: Among the three studied groups, there were no significant differences in pain perception at any time point. …”
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A Spatiotemporal Fusion Network for Remote Sensing Based on Global Context Attention Mechanism by Weisheng Li, Yusha Liu, Yidong Peng, Fengyan Wu

“…During the training process, these residuals assist in rectifying missing data and bolstering feature transfer, thereby enabling the module to more effectively capture temporally dynamic changes in rapidly evolving areas. …”
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AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients by Abhishek Kumar, Sanchita Mondal, Debnarayan Khatua, Debashree Guha, Budhaditya Mukherjee, Arista Lahiri, Dilip K. Prasad, Arif Ahmed Sekh

“…This study introduces an explainable machine learning approach to predict VL relapse and identify critical risk factors, thereby aiding patient monitoring and treatment strategies. Leveraging data from a follow-up study of 571 patients, the survival machine learning models are applied, including Random Survival Forest (RSF), Survival Support Vector Machine (SSVM), and eXtreme Gradient Boosting (XGBoost), for relapse prediction. …”
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Mapping research evolution in higher education: a scientometric analysis of Brunei Darussalam (1986–2024) by Lalu Nurul Yaqin, Muhammad Roil Bilad, Badriyah Yusof, Hasmidar Hassan, Ashrol Rahimy Damit, Ifwah Fauzani Chuchu

“…The study employed advanced scientometric analysis using Scopus as the primary data source, complemented by CiteSpace as an analytical tool for co-citation analysis, keyword mapping, and temporal visualizations to identify thematic clusters and emerging trends. …”
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Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures by Eda Kumru, Güney Ugurlu, Mustafa Sevindik, Fatih Ekinci, Mehmet Serdar Güzel, Koray Acici, Ilgaz Akata

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Teach Pendant at Fingertips: Intuitive Vision-Based Gesture-Driven Control of Dexter ER2 Robotic Arm by S. Abhishek, Yash S. Jogi, Umesh Kumar Sahu, Santanu Kumar Dash, Umesh Kumar Yadav

“…The system employed serial communication, ensuring a continuous and lossless data stream between the controller and the computer. …”
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Inventory of birds in the Peruvian Amazon: Case of lake Cuipari by José Seijas-Díaz, Karla Martell, Juan Schrader, Manuel Navas-Vásquez, Enrique Barbachán-Ruales, Jessica Cabel-Rabines

“…Although this study provides valuable baseline data on avian diversity, further research and integrated management efforts are necessary to fully address the balance between conservation and local economic development. …”
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The association between sensory impairment and motoric cognitive risk syndrome in Chinese older adults by LI Qi, ZHANG Weibo, JIA Feifei, JIA Cunxian

“…Objective To explore the relationship between sensory impairment and motoric cognitive risk syndrome (MCR) in Chinese older adults. Methods Data from the China Health and Retirement Longitudinal Study (CHARLS) for the period 2011-2015 were utilized. …”
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Astronomical Image Superresolution Reconstruction with Deep Learning for Better Identification of Interacting Galaxies by Jiawei Miao, Liangping Tu, Hao Liu, Jian Zhao

“…However, due to observational and instrumental limitations, galaxy data is often collected at low resolution. To further improve visual quality and enhance the details of galaxy structures, we propose a dual-branch network structure combining convolutional neural networks (CNNs) and Transformer (DBCTNet), which leverages the local characteristics of CNNs to complement the global features of Transformer. …”
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Comparative Analysis of Deep Learning Methods for Classification of Ablated Regions in Hyperspectral Images of Atrial Tissue by Yeva Gabrielyan, Arpi Hunanyan, Sona Bezirganyan, Lusine Davtyan, Ani Avetisyan, Narine Sarvazyan, Aram Butavyan, Varduhi Yeghiazaryan

“…For both porcine and bovine data, models incorporating graph neural networks demonstrate superior performance. …”
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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

“…Methods Retro‐ and prospectively collected data from multimodal MRI and standardized clinical datasets of 229 patients with PD (n = 167), PSP (n = 44), or MSA (n = 18) underwent multinomial classification in a benchmark study comparing the performance of nine machine learning methods. …”
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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography by Mohammed Yaqoob, Mohammed Yusuf Ansari, Mohammed Ishaq, Issac Sujay Anand John Jayachandran, Mohammed S. Hashim, Thomas Daniel Seers

“…Morphological characterization of microcrystalline rock textures typically relies upon the visual interpretation and manual measurement of scanning electron microscopy (SEM) imagery: a practice fraught with subjectivity, inefficiency, sampling bias, and data loss. …”
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