Application of the Simple Additive Weighting Method in the Selection Process for Recipients of the 1000 Anak Negeri Scholarship at Nusa Putra University by Rahmat Hidayat, Gandung Triyono, Dara Putri Oktiara

“…The automated approach reduces processing time, minimizes human errors, and ensures systematic selection based on predefined criteria. …”
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On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…Using the Kolmogorov-Arnold Network model led to a substantial reduction in wind speed and direction forecast errors, with a performance that reached a 48.5% improvement to the Global Forecast System 3 h nowcast, considering the mean squared error. …”
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A novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application by Julius Kwaku Adu-Ntim, Akoto Yaw Omari-Sasu, Maxwell Akwasi Boateng, Isaac Adjei Mensah

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Application of Three-Phase Linearized Power Flow and Line Loss Analysis of Distribution Network Driven by Data and Physics Fusion by Huaitian MU, Hongliang LIAN, Juan LIU, Yanqiong LI

“…The proposed model compensated for linearized errors, greatly improving the convergence and calculation efficiency of the power flow model while ensuring linearized accuracy, and it could adapt to different load levels to achieve precise error compensation. …”
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Reliability assessment of integrated energy systems during wildfire disasters: Application of an iterative algorithm with impact increment state enumeration by Baohong Li, Changle Liu, Yue Yin, Qin Jiang, Yingmin Zhang, Tianqi Liu

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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome. by Tz-Ping Gau, Jen-Hung Wen, I-Wei Lu, Pei-Yu Huang, Yao-Chang Lee, Wei-Po Lee, Hsiang-Chun Lee

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A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

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Performance of the Surface Water and Ocean Topography (SWOT) Mission for Monitoring Small Lakes in West Africa by Felix Girard, Laurent Kergoat, Ibrahim Mainassara, Maxime Wubda, Edwige Dayangnewende Nikiema, Amadou Abdourhamane Toure, Julien Renou, Maxime Vayre, Nicolas Taburet, Nicolas Picot, Manuela Grippa

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Evaluating quasi-experimental approaches for estimating epidemiological efficacy of non-randomised field trials: applications in Wolbachia interventions for dengue by Jo Yi Chow, Lin Geng, Somya Bansal, Borame Sue Lee Dickens, Lee Ching Ng, Ary Anthony Hoffmann, Jue Tao Lim

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The Application and Efficacy of Medication Safety Officer-Based Multidisciplinary Management in Reducing Adverse Drug Reaction and Improving Intravenous Management by Zhang X, Yan M, Qu X, Li Y, Liu L, Liu C

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Comparison and Application of Pore Pressure Prediction Methods for Carbonate Formations: A Case Study in Luzhou Block, Sichuan Basin by Wenzhe Li, Pingya Luo, Yatian Li, Jinghong Zhou, Xihui Hu, Qiutong Wang, Yiguo He, Yi Zhang

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AI4Food Project: Application of Personalised Nutrition Integrating Artificial Intelligence in Nutritional Interventions Focused on Weight Loss by Isabel Espinosa-Salinas, Gala Freixer, Sergio Romero-Tapiador, Blanca Lacruz Pleguezuelos, Ruben Tolosana, Javier Ortega-Garcia, Enrique Carrillo-De Santa Pau

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Oxidase-Like Catalytic Performance of Nano-MnO2 and Its Potential Application for Metal Ions Detection in Water by Kai Sun, Qingzhu Liu, Rui Zhu, Qi Liu, Shunyao Li, Youbin Si, Qingguo Huang

“…Such cost-effective detecting systems may provide a potential application for quantitative determination of metal ions in real water environmental samples.…”
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A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops by C. Cammalleri, M.C. Anderson, N.E. Bambach, A.J. McElrone, K. Knipper, M.C. Roby, G. Ciraolo, D. DeCaro, M. Ippolito, C. Corbari, A. Ceppi, M. Mancini, W.P. Kustas

“…Applications of the two-source energy balance (TSEB) scheme require either in-situ meteorological data to characterize the upper boundary conditions or the implementation of complex multi-scale approaches (ALEXI/DisALEXI). …”
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The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese <i>Cyperus esculentus</i> L. by Xiaobo Jiao, Dongliang Guo, Xinjun Zhang, Yunpeng Su, Rong Ma, Lewen Chen, Kun Tian, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Jingjing Xia, Liqiong Xie

“…The absolute errors between the predicted and actual values for the three-indicator spectral measurements were 0.80, 0.59, and 0.99. …”
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Advanced Pharmaceutical Recognition System Based on Deep Learning for Mobile Medication Identification by Seongheon Kim, Minsu Chae, Jeungmin Lee, Hwamin Lee

“…Deployed as a user-friendly mobile application, the system prioritizes accessibility for elderly users, offering a practical solution to reduce medication errors. …”
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Personalized Prediction of Total Knee Arthroplasty Mechanics Based on Sparse Input Data—Model Validation Using In Vivo Force Data by Sonja Ehreiser, Malte Asseln, Klaus Radermacher

“…<b>Results:</b> The prediction accuracy was quantified using several error metrics, including the root mean square error (RSME). …”
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Human factors application for healthcare teams in low- and medium-income countries (LMIC) to help improve patient safety and performance by Sukhpreet Singh Dubb, Rachel S. Oeppen, Tomas Svoboda, Peter A. Brennan

“…We can never completely eliminate error, but learning and disseminating lessons from these mistakes to others is essential. …”
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Application of NIR Spectral Standardization Based on Principal Component Score Evaluation in Wheat Flour Crude Protein Model Sharing by Jing Tian, Xinyu Chen, Zhennan Liang, Wenliang Qi, Xiaohuan Zheng, Daoli Lu, Bin Chen

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Regression supervised model techniques THz MIMO antenna for 6G wireless communication and IoT application with isolation prediction by Md. Ashraful Haque, Jamal Hossain Nirob, Kamal Hossain Nahin, Md․ Sharif Ahammed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Ahmed A․ Abd El-Latif, Abdelhamied A. Ateya

“…This article presents unique research on the application of machine learning techniques to enhance the efficiency of antennas for wireless communication and Internet of Things (IoT) applications in the Terahertz (THz) frequency band. …”
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