Exploring Blockchain–IoT Convergence for Logistics Traceability: A Systematic Review and Future Outlook by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Izzatdin Abdul Aziz, MD Mahmudul Alam, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Shamsuddeen Adamu

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Construction of a risk prediction model for pulmonary infection in patients with spontaneous intracerebral hemorrhage during the recovery phase based on machine learning by Jixiang Xu, Yuan Li, Fumin Zhu, Fumin Zhu, Xiaoxiao Han, Liang Chen, Yinliang Qi, Yinliang Qi, Xiaomei Zhou, Xiaomei Zhou

“…Seven ML algorithms were employed to build predictive models, with performance evaluated based on the area under the receiver operating characteristic (AUC) curve, sensitivity, specificity, and accuracy. …”
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(<italic>r, k, &#x03B5;</italic>)-Anonymization: Privacy-Preserving Data Publishing Algorithm Based on Multi-Dimensional Outlier Detection, <italic>k</italic>-Anonymity, and <itali... by Burak Cem Kara, Can Eyupoglu, Oktay Karakus

“…To address these challenges, researchers have developed various methods, including k-anonymity and <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-differential privacy, offering solutions for both industry and academia. …”
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A Novel Hybrid System Based on Fractal Coding for Soccer Retrieval from Video Database by Ehsan Lotfi

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Multi-objective Windy Postman Problem in a Fuzzy Transportation Network by Debosree PAL, Haresh Kumar SHARMA, Olegas PRENTKOVSKIS, Falguni CHAKRABORTY, Lijana MASKELIŪNAITĖ

“…Researchers have become increasingly captivated by the windy postman problem (WPP), a major combinatorial optimisation problem with several practical applications. …”
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A Low-Cost Evaluation Tool for Synchronization Methods in Three-Phase Power Systems by Marcelo E. Reyes, Pedro E. Melin, Eduardo Espinosa, Carlos R. Baier, Cristian Pesce, Benjamín Cormack

“…This work provides engineers and researchers with an accessible platform at a low cost (less than USD 100) and a methodology for the experimental validation of digital synchronization algorithms as a step before their implementation in grid-connected equipment. …”
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Artificial Intelligence-driven optimization of V2G and charging point selection en-route: A systematic literature review by Christoph Sommer, M.J. Hossain

“…For the industry, the primary advantage of this paper lies in its examination of existing profit maximization models and the consequent heightened interest from customers in this technology plus the strategic placement of charging stations. For academic researchers, this paper demonstrates that the prediction of charging behavoir can be effectively tackled through the appropriate selection of ML-algorithms.…”
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Correction: Alanazi et al. An Improved Fick’s Law Algorithm Based on Dynamic Lens-Imaging Learning Strategy for Planning a Hybrid Wind/Battery Energy System in Distribution Network... by Mohana Alanazi, Abdulaziz Alanazi, Ahmad Almadhor, Hafiz Tayyab Rauf

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DFL-TORO: A One-Shot Demonstration Framework for Learning Time-Optimal Robotic Manufacturing Tasks by Alireza Barekatain, Hamed Habibi, Holger Voos

“…Furthermore, we propose an optimization-based smoothing algorithm that ensures time-optimal and jerk-regulated demonstration trajectories, while also adhering to the robot&#x2019;s kinematic constraints. …”
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Neonatal factors related to center variation in the incidence of late-onset circulatory collapse in extremely preterm infants. by Yume Suzuki, Yumi Kono, Takahiro Hayakawa, Hironori Shimozawa, Miyuki Matano, Yukari Yada, Neonatal Research Network Japan

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Factores clave en la práctica de la Ciencia Abierta. Un análisis multivariado en el contexto universitario = Key Factors in Open Science Practice: A Multivariate Analysis within th... by Sebastián Araya-Pizarro, Héctor García-Leal

“…Additionally, it was found that women and novice researchers exhibit greater interest in learning about the construct, with its practice predominantly observed in the field of sciences. …”
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Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling by Tao Huang, Venkatesh Merwade

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Bionic search for transportation problem solution on the basis of adaptation strategy by Yury Olegovich Chernyshev, Anna Yuryevna Poluyan, Pavel Alexandrovich Panasenko, Denis Yuryevich Paskevich

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Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques by Risul Islam Rasel, Md Minaz Hossain, Md Hasib Zubayer, Chaoqun Zhang

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Digital biomarkers and artificial intelligence: a new frontier in personalized management of inflammatory bowel disease by Diletta De Deo, Diletta De Deo, Arianna Dal Buono, Arianna Dal Buono, Roberto Gabbiadini, Olga Maria Nardone, Rocio Ferreiro-Iglesias, Rocio Ferreiro-Iglesias, Giuseppe Privitera, Giuseppe Privitera, Cristiana Bonifacio, Manuel Barreiro-de Acosta, Manuel Barreiro-de Acosta, Cristina Bezzio, Cristina Bezzio, Alessandro Armuzzi, Alessandro Armuzzi

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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

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Interval models of nonequilibrium physicochemical processes by Alexander Yu. Morozov, Dmitry L. Reviznikov, Vladimir Yu. Gidaspov

“…The paper discusses the application of the adaptive interpolation algorithm to problems of chemical kinetics and gas dynamics with interval uncertainties in reaction rate constants. …”
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All we know about polycythemia vera: literature review and own experience by K. M. Abdulkadyrov, V. A. Shuvaev, I. S. Martynkevich

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The Controlling Factors and Prediction of Deep-Water Mass Transport Deposits in the Pliocene Qiongdongnan Basin, South China Sea by Jiawang Ge, Xiaoming Zhao, Qi Fan, Weixin Pang, Chong Yue, Yueyao Chen

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