Convergence of Blockchain, IoT, and AI for Enhanced Traceability Systems: A Comprehensive Review by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Dahiru Adamu Aliyu, Izzatdin Abdul Aziz, Shamsuddeen Adamu

“…Bibliometric analysis of 530 documents from SCOPUS (2014–2024) identified key trends, while the SLR, conducted across multiple databases following PRISMA guidelines, refined the dataset to 43 peer-reviewed studies based on inclusion criteria. …”
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The Effects of Selective Muscle Weakness on Muscle Coordination in the Human Arm by Jinsook Roh, Randall F. Beer, Andrew Lai, Monica Rho, Kristopher R. Karvelas, Antoun M. Nader, Mark C. Kendall, William Z. Rymer

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Corneal Biomechanical Assessment Using Corneal Visualization Scheimpflug Technology in Keratoconic and Normal Eyes by Lei Tian, Yi-Fei Huang, Li-Qiang Wang, Hua Bai, Qun Wang, Jing-Jing Jiang, Ying Wu, Min Gao

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Characterizing the Crosstalk of NCAPG with Tumor Microenvironment and Tumor Stemness in Stomach Adenocarcinoma by Zheng Xiang, Genlan Cha, Yihao Wang, Jikai Gao, Jianguang Jia

“…Pan-cancer expression profile dataset from public databases and corresponding clinical information were extracted. …”
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Deep Learning Model for CS-Based Signal Recovery for IRS-Assisted Near-Field THz MIMO System by Vaishali Sharma, Prakhar Keshari, Sanjeev Sharma, Kuntal Deka, Ondrej Krejcar, Vimal Bhatia

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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

“…Using Environmental Sensor Telemetry Data, this study introduces a novel methodology that combines unsupervised and supervised machine learning approaches to detect anomalies and predict sensor failures. The dataset consisted of sensor readings such as temperature, humidity, CO, LPG, and smoke, with no class labels available. …”
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Experimental investigation of the effect of the offset ratio on the flow characteristics and heat transfer behaviour of a wall-bounded dual jet flow by P.J. Murphy, S. Alimohammadi, S.M. O'Shaughnessy

“…., the offset ratio (OR), on the dual jet flow and heat transfer behaviour, therefore providing the very first experimental dataset relating to a dual jet for varying OR. For this investigation, a uniform heat flux of 1670 W/m2 is applied to the bounding wall for 5500 ≤ Re ≤ 12,000 and 1 ≤ OR ≤ 7, while the velocity ratio is maintained at a constant value of 1. …”
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Fatigue crack growth in additive manufactured products by A. Riemer, H. A. Richard, J.-P. Brüggemann, J.-N. Wesendahl

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Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation by Yih-Lon Lin, Yu-Min Chiang, Tsuen-Chiuan Tsai, Sheng-Gui Su

“…Methods This study employs a systematic approach to knowledge-point classification by utilizing both simple long short-term memory (LSTM)-based and Siamese-based networks, coupled with cross-validation techniques. The dataset under scrutiny originates from the “Clinical Diagnosis and Treatment Skills Competitions” spanning the first to third years in Taiwan. …”
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Estimating the Risk of Maternal Death at Admission: A Predictive Model from a 5-Year Case Reference Study in Northern Uganda by Gasthony Alobo, Cristina Reverzani, Laura Sarno, Barbara Giordani, Luigi Greco

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Performance Evaluation of 3-D Convolutional Neural Network for Multitemporal Flood Classification Framework With Synthetic Aperture Radar Image Data by Dodi Sudiana, Indra Riyanto, Mia Rizkinia, Rahmat Arief, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo, Ketut Wikantika

“…The framework employs a 3-D convolutional neural network (3-D CNN) to process multitemporal SAR data from Sentinel-1 (S-1). The dataset included 24 S-1 scenes with Dual VV and VH polarization from March 2019 to February 2020, divided into two co-event images, 18 preevent images, and four postevent images. …”
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The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

“…To address this challenge, Big Data Analytics (BDA), the systematic process of examining large and complex datasets to uncover hidden patterns, correlations, and insights for informed decision-making, has emerged. …”
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Multimodal heterogeneous graph fusion for automated obstructive sleep apnea-hypopnea syndrome diagnosis by Haoyu Wang, Xihe Qiu, Bin Li, Xiaoyu Tan, Jingjing Huang

“…This study evaluated the proposed framework on a large-scale OSAHS dataset, combined from publicly available sources and data provided by a collaborative university hospital. …”
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Assessment and incorporation of in vitro correlates to pharmacokinetic outcomes in antibody developability workflows by Tushar Jain, Bianka Prinz, Alexander Marker, Alexander Michel, Katrin Reichel, Valerie Czepczor, Sylvie Klieber, Wei Sun, Sagar Kathuria, Sevim Oezguer Bruederle, Christian Lange, Lena Wahl, Charles Starr, Alessandro Masiero, Lindsay Avery

“…In agreement with current literature, in vitro measures assessing nonspecific interactions, self-interaction, and FcRn interaction are demonstrated to have the highest correlations to clearance in hFcRn Tg32 mice. Crucially, the dataset used in this study has broad sequence diversity and a range of physicochemical properties, adding robustness to our recommendations. …”
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The subcompartmented oxphosomic model of the phosphorylating system organization in mitochondria by I. V. Ukolova

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Phenotypic and Functional Changes in Peripheral Blood Natural Killer Cells in Crohn Disease Patients by Suzanne Samarani, Patrick Sagala, Prevost Jantchou, Guy Grimard, Christophe Faure, Colette Deslandres, Devendra K. Amre, Ali Ahmad

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Does structural compromise of the aorta in patients with aortic pathologies predict increased spinal and vascular complications and reoperations in patients undergoing anterior app... by Neil V. Shah, Pelin Çeliker, Cirous Sadeghi, Rachel Baum, Juhayer S. Alam, Chibuokem Ikwuazom, Peter L. Zhou, Benjamin Krasnyanskiy, David Kim, Rohan Desai, Sandeep Bains, Jeffrey M. Schwartz, Bassel G. Diebo, Carl B. Paulino

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P1-N1-P2 Cortical Auditory Evoked Potentials in Chronic Unilateral Acquired Conductive Hearing Loss in Adults by Abeir Osman Dabbous, Noha Ali Hosni, Alzahraa Al-Sayed Owais Emara, Adel Said El-Antably

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FishPi: a bioinformatic prediction tool to link piRNA and transposable elements by Alice M. Godden, Benjamin Rix, Simone Immler

“…Existing tools such as TEsmall can process sRNA-seq datasets to produce differentially expressed piRNAs, and piRScan developed for nematodes can link piRNAs and TEs but it requires knowledge about the target region of interest and works backwards. …”
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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection by Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen, Oscal Tzyh-Chiang Chen

“…Through an experiment with our dataset, the proposed model demonstrated mAP@.5 characteristics of 80.30%, marking an 8% improvement compared to the original YOLOv8 model. …”
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