Sepsis-Associated Acute Kidney Disease Incidence, Trajectory, and Outcomes by Hsiu-Yin Chiang, Chih-Chia Liang, Ya-Luan Hsiao, Uyen-Minh Le, Yi-Ching Chang, Pei-Shan Chen, David Ray Chang, I-Wen Ting, Hung-Chieh Yeh, Chin-Chi Kuo

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Diagnostics of leaks with unknown amplitudes against the background of interference caused by accidental consumption in the hydraulic system for the forest complex by Sazonova Svetlana, Zolnikov Konstantin, Skvortsova Tatyana, Kravchenko Andrey, Zarevich Anton

“…The formation of algorithms for leak detection is considered. It is shown that the solution to the problem of specific leak detection may vary depending on the type of hydraulic system and the technologies used. …”
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Micro-stories, Robotic Coding, Digital Applications, and Augmented Reality to Enhance Children's Computational Thinking [Microrrelatos, codificación robótica, aplicaciones digitale... by M. Esther Del-Moral-Pérez, Nerea López Bouzas, Jonathan Castañeda-Fernández

“… This research evaluates the potential of an educational intervention aimed at developing Computational Thinking (CT) in preschool students aged 4 to 6 years (N=82). …”
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Deep Learning in Finance: A Survey of Applications and Techniques by Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba

“…These insights can guide future research directions toward developing more efficient, robust, and explainable financial models that address the evolving needs of the financial sector.…”
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Analysis of the Effect of Skin Pigmentation and Oxygen Saturation on Monte Carlo-Simulated Reflectance Photoplethysmography Signals by Raghda Al-Halawani, Meha Qassem, Panicos A. Kyriacou

“…The effect of skin pigmentation on photoplethysmography and, specifically, pulse oximetry has recently received a significant amount of attention amongst researchers, especially since the COVID-19 pandemic. …”
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Knowledge graph-based intelligent control systems for real-time machine tool optimization by Hailong YANG, Jun YAO, Baorui DU

“…This study uses the research results from the field of machine tools to establish a knowledge graph. …”
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Ship route planning for collision avoidance based on the improved isochrone method by Jisang Ha, Myung-Il Roh, Hye-Won Lee

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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

“…The primary objective of this research is to investigate automated techniques that can be employed to detect ALL at an early stage. …”
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Energy management in networked microgrids: A comparative study of hierarchical deep learning and predictive analytics techniques by Nima Khosravi, Adel Oubelaid, Youcef Belkhier

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Lightweight Deep Learning for sEMG-Based Fingers Position Classification and Embedded System Deployment by Victor H. Benitez, Jesus Pacheco, Guillermo Cuamea-Cruz

“…Unlike traditional studies that focus on static hand gestures, this research highlights the continuous tracking of finger positions during dynamic hand movements, such as the transition between open and closed states. …”
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Artificial intelligence in respiratory care by Manjush Karthika, Jithin K. Sreedharan, Madhuragauri Shevade, Chris Sara Mathew, Santosh Ray

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Architecture of an integrated java application for log analysis to detect computer attacks in information systems by responding to various security anomalies by P. I. Sharikov, A. V. Krasov, A. V. Mayorovv

“…It is necessary to develop the architecture of a Java application for hidden integration with the information system.Method. The research used methods of analyzing information in information system logs, static analysis methods, programming for application development, and data processing algorithms.Result. …”
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High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States by Qiong Wu, John J. Ramirez Avila, Jia Yang, Cunxiong Ji, Shanmin Fang

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The influence of partisanship on the roots of anti-vaccine attitudes in the context of the COVID-19 pandemic by Sylvia Iasulaitis, Alan Demetrius Baria Valejo, Leonardo Ribeiro dos Santos

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Optimizing travel time reliability with XAI: A Virginia interstate network case using machine learning and meta-heuristics by Navid Khorshidi, Shahriar Afandizadeh Zargari, Soheil Rezashoar, Hamid Mirzahossein

“…This paper applies machine learning models to predict travel time reliability in transportation networks, using XGBoost, LightGBM, and CatBoost optimized with seven metaheuristic algorithms. The models were fine-tuned with a four-year dataset (2014–2017) covering 59 interstate sections in Virginia. …”
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Obstacle avoidance control for cluster-based unmanned aerial vehicle formation with multiple constraints by Wenjie Zhou, Shuo Chen, Jiacheng Li, Chenjun Liu, Wenjun Luo, Jason J.R. Liu

“…In this paper, we conduct research on coordinated obstacle avoidance for multiple Unmanned Aerial Vehicles (UAVs). …”
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Validation of Depth-Averaged Flow Model Using Flat-Bottomed Benchmark Problems by Il Won Seo, Young Do Kim, Chang Geun Song

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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…Influence maximization (IM) is crucial for recommendation systems and social networks. Previous research primarily focused on static networks, neglecting the homophily and dynamics inherent in real-world networks. …”
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Laser-Induced Thermal Treatment of Superficial Human Tumors: An Advanced Heating Strategy and Non-Arrhenius Law for Living Tissues by Leonid A. Dombrovsky, Leonid A. Dombrovsky, Leonid A. Dombrovsky

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Development of a composite index for the assessment of food systems in the Philippines by Maria Julia Golloso-Gubat, Angelina Felix, Nancy A. Tandang, Cecilia Cristina S. Acuin, Prudenciano U. Gordoncillo

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