Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O₃) Prediction in Johannesburg, South Africa by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

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Nonlocal Moments and Mott Semimetal in the Chern Bands of Twisted Bilayer Graphene by Patrick J. Ledwith, Junkai Dong (董焌锴), Ashvin Vishwanath, Eslam Khalaf

“…The combination of these features leads to a question: Can decoupled moments emerge in an isolated topological band, despite the lack of exponentially localized Wannier orbitals? …”
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THE MODEL OF ASSESSING THE GENERAL INTENSITY OF RESISTANCE TO CHANGES IN AN ORGANIZATION by Lyudmyla Chernova, Oleksandra Mazurkevych, Liubava Chernova

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Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs by Xiangyu Guo, Pernille Sarup, Anders Bay Nord, Mark Henryon, Tage Ostersen, Ole F. Christensen

“…Results Parameter estimates from MGBLUP showed a direct heritability of ADG of 0.15, a proportion of variance explained by metabolomic features of 0.18, and a heritability of metabolomic intensities of 0.14, together resulting in a total heritability of 0.17. …”
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Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

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Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle by Hammad Shahab, Muhammad Iqbal, Ahmed Sohaib, Atiq ur Rehman, Amine Bermak, Kashif Munir

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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

“…Although various computational strategies have been proposed, their implementation typically requires multi-stage processes and subjective parameter selection, exhibiting narrow applicability to specific SNM. …”
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Multimodality Data Integration in Epilepsy by Otto Muzik, Diane C. Chugani, Guangyu Zou, Jing Hua, Yi Lu, Shiyong Lu, Eishi Asano, Harry T. Chugani

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Comparative Analysis of Structural Differences in Progressive Collapsing Foot Deformities with and without Hallux Valgus by Chien-Shun Wang MD, Andrew Behrens BS, Grayson M. Talaski, Erik Jesus Huanuco Casas MD, Kepler A.M. Carvalho MD, Antoine Acker MD, Tommaso Forin Valvecchi MD, Karl M. Schweitzer MD, FAAOS, Mark E. Easley MD, Cesar de Cesar Netto MD, PhD

“…Talar-first metatarsal angle was the only traditional two-dimensional radiographic parameter that correlated with HV deformity. Based on our findings, PCFD patients displaying these features might need HV preventive measures. …”
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AI-Assisted Design of Drain-Extended FinFET With Stepped Field Plate for Multi-Purpose Applications by Xiaoyun Huang, Hongyu Tang, Chenggang Xu, Yuxuan Zhu, Yan Pan, Dawei Gao, Yitao Ma, Kai Xu

“…Fin Field-Effect-Transistor (FinFET) has become fundamental components in advanced integrated circuit, while the drain-extended FinFET (DE-FinFET) features a lightly doped drain extension region to improve the device’s breakdown voltage. …”
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Magnetic Resonance Imaging Brain Segmentation Using Bi-Directional Convolutional Long Short-Term Memory U-Net With Densely Connected Convolutions by Meshari D. Alanazi, Amna Maraoui, Imen Werda, Ahmed Ben Atitallah, Turki M. Alanazi, Mohammed Albekairi, Anis Sahbani, Amr Yousef

“…Our method enhances spatial feature learning employing dense connections, and catches complex temporal links across MRI slices. …”
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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold by Li Yang, Qiong Yao, Xiang Xu

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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

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Multiscale simulations of amorphous and crystalline AgSnSe2 alloy for reconfigurable nanophotonic applications by Xueyang Shen, Siyu Zhang, Yihui Jiang, Tiankuo Huang, Suyang Sun, Wen Zhou, Jiangjing Wang, Riccardo Mazzarello, Wei Zhang

“…We study the structural features and optical properties of both crystalline and amorphous AgSnSe2 via density functional theory (DFT) calculations and DFT‐based ab initio molecular dynamic (AIMD) simulations. …”
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Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

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Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

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Artificial neural networks analysis of entropy generation in magnetic-micropolar nanofluid flow equipped with porous media and Darcy-Forchheimer law by Zahoor Iqbal, Md Fayz- Al- Asad, Huiying Xu, Xinzhong Zhu, Muhammad Sajjad Hossain, Ridha Selmi, M.M. Alqarni, Sharifah E. Alhazmi, Fahima Hajjej, M.M.H. Imran

“…Moreover, the coefficient of skin friction, Nusselt number and Sherwood number for different parameters are computed and depicted in the form of graphs also compared with the numerical solution and obtained absolute error for friction, Nusselt and Sherwood number are 1.6636e−04,3.1979e−03,1.2645e−04.…”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry’s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept by Dianhao Wu, Jingang Jiang, Jinke Wang, Shan Zhou, Kun Qian

“…Abstract Background and aim 3D fusion model of cone-beam computed tomography (CBCT) and oral scanned data can be used for the accurate design of root canal access and guide plates in root canal therapy (RCT). …”
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Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process by Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, Seungjae Lee, Hogyeong Kang, Eunju Park, Im Doo Jung, Namhun Kim

“…The proposed methodology implements multimodal data fusion, combining reproduced grayscale images of deposition strategy with numerical process variables, including process parameters, geometrical features, and printing process status. …”
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