Leveraging Synthetic Data to Develop a Machine Learning Model for Voiding Flow Rate Prediction From Audio Signals by Marcos Lazaro Alvarez, Alfonso Bahillo, Laura Arjona, Diogo Marcelo Nogueira, Elsa Ferreira Gomes, Alipio M. Jorge

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Digital Humanities: Is it a New Science or a Set of Models and Practices of the Global Network Project? by R. I. Mamina, E. E. Yelkina

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Comparison of different approaches in handling missing data in longitudinal multiple-item patient-reported outcomes: a simulation study by Minqian Yan, Lizhi Zhou, Chongye Zhao, Chen Shi, Chunquan Ou

“…Abstract Background Patient-reported outcomes (PROs) are important clinical outcomes widely used as primary and secondary endpoints in clinical studies. However, PRO data often suffers from missing values for various reasons, which pose challenges to data analysis. …”
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General feature selection technique supporting sex-debiasing in chronic illness algorithms validated using wearable device data by Jamison H. Burks, Lauryn Keeler Bruce, Patrick Kasl, Severine Soltani, Varun Viswanath, Wendy Hartogensis, Stephan Dilchert, Frederick M. Hecht, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E. Mason, Benjamin L. Smarr

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Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance by Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik

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Feasibility Study on the Integration of Innovation and Entrepreneurship Education and Occupational Therapy Training Mode for College Students Based on Big Data by Yan Yang, Juan Xie

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Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application by Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, Zuriati Ahmad Zukarnain

“…Fog computing provides close-to-device processing at the network’s periphery, and fog computing can analyze data in near real-time. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Then, the data are uploaded to the cloud or edge nodes for fast image reconstruction, neural network training, and automatic analysis. …”
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Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining by Yewuhalashet Fissha, Prashanth Ragam, Hajime Ikeda, N. Kushal Kumar, Tsuyoshi Adachi, P.S. Paul, Youhei Kawamura

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Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions by Lillian Sung, Michael Brudno, Michael C. W. Caesar, Amol A. Verma, Brad Buchsbaum, Ravi Retnakaran, Vasily Giannakeas, Azadeh Kushki, Gary D. Bader, Helen Lasthiotakis, Muhammad Mamdani, Lisa Strug

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Searching for Gravitational-Wave Bursts from Cosmic String Cusps with the Parkes Pulsar Timing Array’s Third Data Release by Yong Xia, Jingbo Wang, Sachiko Kuroyanagi, Wenming Yan, Yirong Wen, Agastya Kapur, Jing Zou, Yi Feng, Valentina Di Marco, Saurav Mishra, Christopher J. Russell, Shuangqiang Wang, De Zhao, Xingjiang Zhu

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Humanoid robots for psychological assessment in mild cognitive impairment: from evaluation to the future of AI-driven data prediction systems by Caterina Formica, Fabio Mauro Giambò, Desiree Latella, Lilla Bonanno, Marco Lombardo, Orazio Tomarchio, Angela Marra, Antonella Alagna, Carmen Bonanno, Angelo Quartarone, Silvia Marino

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Assessment of war-induced agricultural land use changes in Ukraine using machine learning applied to Sentinel satellite data by Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova, Guido Lemoine, Klaus Deininger

“…By leveraging cloud computing platforms, including Google Earth Engine (GEE) and the Copernicus Data Space Ecosystem (CDSE), we develop high-resolution KPI-Ukraine (Igor Sikorsky Kyiv Polytechnic Institute (KPI) in Ukraine) land use maps spanning from 2016 to 2024. …”
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Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

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Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure Index by Ionela Chereja, Rudolf Erdei, Daniela Delinschi, Emil Pasca, Anca Avram, Oliviu Matei

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Development of a Software Package Architecture for Simulation and Prototyping of Radar Systems and Complexes by I. S. Serdiukov

“…Introduction. Computer simulation and prototyping software can simplify the design process of complex information and measurement systems significantly, including radar systems and complexes. …”
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Identification of significant bio-markers from high-dimensional cancerous data employing a modified multi-objective meta-heuristic algorithm by Prajna Paramita Debata, Puspanjali Mohapatra

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Synthesis, structural elucidation, and antimicrobial evaluation of (2E)-3-(4-fluorophenyl)-1-(4-isopropylphenyl)prop-2-en-1-one: insights from experimental and computational studie... by Nutan V. Sadgir, Vishnu A. Adole, Sunil L. Dhonnar, Bapu S. Jagdale, Kailas H. Kapadnis, Jayesh Pawar

“…DFT/B3LYP calculations with a 6–311++G(d,p) basis set showed strong agreement with experimental data, confirming the reliability of the computational approach. …”
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scMINER: a mutual information-based framework for clustering and hidden driver inference from single-cell transcriptomics data by Qingfei Pan, Liang Ding, Siarhei Hladyshau, Xiangyu Yao, Jiayu Zhou, Lei Yan, Yogesh Dhungana, Hao Shi, Chenxi Qian, Xinran Dong, Chad Burdyshaw, Joao Pedro Veloso, Alireza Khatamian, Zhen Xie, Isabel Risch, Xu Yang, Jiyuan Yang, Xin Huang, Jason Fang, Anuj Jain, Arihant Jain, Michael Rusch, Michael Brewer, Junmin Peng, Koon-Kiu Yan, Hongbo Chi, Jiyang Yu

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Influence of aging process and restoration thickness on the fracture resistance of provisional crowns: A comparative study by Majed M. Alsarani

“…All crowns (aged and non-aged (control)) were loaded for fracturing using a universal testing machine at a 0.5 mm/min crosshead speed. Data were analyzed using a two-way analysis of variance and multiple comparisons at (α = 0.05). …”
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