Remote, smart telemonitoring of COVID-19 survivors for early detection of deterioration in cardiac health (the PARTMO study) by Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Nutan Maurya, Nutan Maurya, Susan San Miguel, Rumbidzai Teramayi, Ahilan Parameswaran, Annamarie D’Souza, Gregory Melbourne, Joseph Descallar, Young Juhn, Enoch Chan, Jerome Pong

“…Thirteen patients (32.5%) were detected by the AI algorithms from the S-Patch EX monitoring system to have cardiac arrhythmias, including atrial fibrillation, supraventricular tachycardia, and ventricular tachycardia. …”
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Predicting software reuse using machine learning techniques-A case study on open-source Java software systems. by Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim, Yuen Yee Yen

“…This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. …”
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The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models by Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed

“…Although artificial intelligence (AI) has showed amazing promise in breast cancer prediction mainly machine learning (ML) algorithms as well as deep learning (DL), practical use of these models is greatly hampered by their lack of interpretability and transparency. …”
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A Review of Vibration Control Studies of Double-Layered Cylindrical Shells Under Transient Excitation in Water by Zhen Zhang, Yinglong Zhao, Feng Chen

“…Finally, combined with the development of new intelligent materials and adaptive algorithms, the prospective outlook for vibration control technology for shell structures under transient excitation conditions is presented.…”
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Picture Fuzzy Concept Lattice Models for Knowledge Structure Analysis by Chen Zhang, Zengtai Gong

“…Existing research results mainly focus on classical knowledge spaces, while insufficient attention has been paid to the uncertainty of data in practical problems. …”
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Accounting Development in the System of Transition to the New Standards of Financial Security of a Commercial Bank by A. V. Lukyanov

“…So, there was the comparative analysis of the core performance indicators characterizing the financial security mainly associated with the functioning of the financial sector of the national economy and it also showed the gaps existing in the Russian Federation system as the basis for further development of the simplified system of statistical accounting of financial security for the banks in the Russian Federation.…”
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Exploring the Influencing Factors of Surface Ozone Variability by Explainable Machine Learning: A Case Study in the Basilicata Region (Southern Italy) by Roberta Valentina Gagliardi, Claudio Andenna

“…In this study, a methodological approach combining both supervised and unsupervised machine learning algorithms (MLAs) with the Shapley additive explanations (SHAP) method was used to understand the key factors behind O₃ variability and to explore the nonlinear relationships linking O₃ to these factors. …”
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Understanding Precipitation Moisture Sources and Their Dominant Factors During Droughts in the Vietnamese Mekong Delta by Keke Zhou, Xiaogang Shi

“…Results of the causal inference algorithms indicate that the humidity and wind speed in the upwind area are the dominant factors for driving moisture transport and determining the amount of VMD precipitation in dry and wet seasons, respectively. …”
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Adaptive Control of VSG Inertia Damping Based on MADDPG by Demu Zhang, Jing Zhang, Yu He, Tao Shen, Xingyan Liu

“…The proposed method is mainly divided into two phases: “centralized training and decentralized execution”. …”
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From 3D reality-based models to volumes for structural analysis: some critical issues by Sara Gonizzi Barsanti, Juergen Juergen Frick

“…These cleaned point clouds can be converted in mesh with different algorithms, some automatically processed by photogrammetric software and then turned into volumes, suitable for different uses, mainly for structural analysis.…”
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Mesangial cell-derived CircRNAs in chronic glomerulonephritis: RNA sequencing and bioinformatics analysis by Ji Hui Fan, Xiao Min Li

“…The results of GO and KEGG analyses revealed that the target mRNAs were mainly enriched in immune, infection, and inflammation-related pathways. …”
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Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach by Artur Krolik, Radosław Drelich, Michał Pakuła, Dariusz Mikołajewski, Izabela Rojek

“…Furthermore, ML models are adaptable, allowing the same trained algorithms to work on various material batches or panel types with minimal retraining. …”
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Real-world study on adverse drug reactions of pembrolizumab in endometrial cancer treatment: insights from the FAERS database by Huiping Zhang, Man Di, Jingjing Wang, Shan Wang, Yini Dai, Jingjing Huang, Zhuo Zhou

“…The reported body weights were mainly in the 50–100 kg range. The most frequent ADE outcome was hospitalization. …”
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Comprehensive evaluation of phosphoproteomic-based kinase activity inference by Sophia Müller-Dott, Eric J. Jaehnig, Khoi Pham Munchic, Wen Jiang, Tomer M. Yaron-Barir, Sara R. Savage, Martin Garrido-Rodriguez, Jared L. Johnson, Alessandro Lussana, Evangelia Petsalaki, Jonathan T. Lei, Aurelien Dugourd, Karsten Krug, Lewis C. Cantley, D. R. Mani, Bing Zhang, Julio Saez-Rodriguez

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Global Sensitivity Analysis of CASC2D Hydrological Model Parameters by LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie

“…The peak flow timing of flood was mainly related to the infiltration calculation in the model. …”
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Heart failure with preserved left ventricular ejection fraction – clinical perspectives by Małgorzata Niemiec, Bartosz Gruchlik, Nicola Dyrek, Jan Niemiec, Bartosz Basiaga, Krzysztof Bednarz, Dorota Piłat, Kinga Czepczor, Maciej Podolski, Katarzyna Mizia-Stec

“…Until recently, HFpEF treatment focused mainly on symptom relief and comorbidity management. …”
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A Numerical Laboratory for Simulation of Flanged Reinforced Concrete Shear Walls by Alireza Khaloo, Mohammad Tabiee, Hatef Abdoos

“…Despite their extensive applications in recent years, flanged RC shear walls have rarely been experimentally and numerically studied, mainly due to the difficult and time-consuming fabrication of experimental samples, numerical models, and also their analysis. …”
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A new 3D vision-based leaf rolling index (LRI) and its application as a stable indicator of cotton drought stress by Hangxing Huang, Jian Kang, Jinliang Chen, Risheng Ding, Hongna Lu, Siyu Wu, Shaozhong Kang

“…This study conducted a 3D reconstruction of cotton using Structure from Motion (SFM) and Multi-View Stereo (MVS). Algorithms for leaf point cloud preprocessing and phenotype extraction were developed using the PCL point cloud library and integrated into software to calculate the leaf area and perimeter. …”
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Boerhaave Syndrome - A Rare but Serious Esophageal Emergency by Paula Szarek, Jakub Kołacz, Patrycja Oleś, Marcin Kwiatkowski, Paulina Bochniak

“…This full-thickness tear in the esophagus leads to a high risk of death, especially when there is a delay in diagnosis. The syndrome mainly impacts middle-aged men and often shows non-specific symptoms like chest pain, difficulty breathing, and subcutaneous emphysema, which can resemble cardiopulmonary emergencies. …”
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Deep Reinforcement Learning of Mobile Robot Navigation in Dynamic Environment: A Review by Yingjie Zhu, Wan Zuha Wan Hasan, Hafiz Rashidi Harun Ramli, Nor Mohd Haziq Norsahperi, Muhamad Saufi Mohd Kassim, Yiduo Yao

“…Through a comparative analysis of classical DRL algorithms, this study highlights their advantages and limitations in handling real-time navigation tasks under dynamic environmental conditions. …”
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