Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN by Dorcas Oladayo Esan, Pius Adewale Owolawi, Chunling Tu

“…The model produced a peak signal noise ratio (PSNR) of 31.35, mean square error (MSE) of 65.32, and structural similarity index measure (SSIM) of 0.772 which indicates the improved quality of the generated images. …”
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Consumer-Centered Collaborative Governance of Regional Business Environment by Tingting Xiang, Hongzhi Lin

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Conditioned Generative Modeling of Molecular Glues: A Realistic AI Approach for Synthesizable Drug-like Molecules by Naeyma N. Islam, Thomas R. Caulfield

“…We systematically evaluated the ternary complex formation potential of Aβ42 with three E3 ligases (CRBN, VHL, and MDM2) through structure-based modeling, ADMET screening, and docking. …”
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Investigating the necessity of adaptive radiotherapy in tomotherapy of head and neck cancer patients by Ali Chaparian, Mahsa Kianinia, Mahnaz Roayaei, Nadia Najafizade, Abolfazl Kanani, Leili Mahani, Hamidreza Nourzadeh

“…The purpose of this study is to evaluate dosimetric and volume changes in key anatomical structures for different treatment sites in HNC patients, and to determine the percentage of patients who need adaptive radiotherapy (ART) per treatment site. …”
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Forward geometric model prediction of a 6-RSU parallel manipulator using a modified NARX Bayesian neural network by Alaa Aldeen Joumah, Assef Jafar, Chadi Albitar

“…While recent studies have successfully employed machine learning to predict the Forward Geometric Model (FGM) of a 6-DOF (degrees of freedom) parallel manipulator, traditional methods lack predictive uncertainty estimation.In this study, we propose a novel approach to enhance FGM prediction for a 6-RSU (Revolute-Spherical-Universal) parallel manipulator using a modified NARX-BNN (Nonlinear Autoregressive with Exogenous Inputs - Bayesian Neural Network).The proposed NARX-BNN model benefits from a synergistic combination of the BNN structure's powerful universal approximation feature and uncertainty estimation, and the nonlinear ARX model's strong predictive capability.The simulation and experiment results demonstrate the superiority of the proposed NARX-BNN model over traditional Bayesian shallow neural network employing the Variational inference method for this problem. …”
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DFT studies of the role of anion variation in physical properties of Cs2NaTlBr6−xClx (x = 0, 1, 2, 3, 4, 5 and 6) mixed halide double perovskites for optoelectronics by Mohammed Mehedi Hasan, Nazmul Hasan, Alamgir Kabir

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An EG-Tree Model Incorporating Spatial Heterogeneity for Analyzing Multifactorial Coupling Effects on Carbon Emissions Across Industries and Regions in China by Jinrui Zang, Xin Hu, Kun Qie, Zian Zhang, Shi Zhang

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective by Renaud Fabre, Daniel Egret, Patrice Bellot

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Mechanistic insight for T-cell exclusion by cancer-associated fibroblasts in human lung cancer by Joseph Ackermann, Chiara Bernard, Philemon Sirven, Helene Salmon, Massimiliano Fraldi, Martine D Ben Amar

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Bordetella pertussis exhibits genomic diversity within patients and laboratory culture by E. Bouda, Y. Peng, M. M. Williams, P. K. Cassiday, T. H. Skoff, H. Ju, H. Fueston, D. Kurien, D. Morales, M. Cole, E. A. Travanty, D. Santoro, P. M. Snippes Vagnone, K. Mitchell, M. Martinez, Y. Unoarumhi, M. Bentz, S. Nobles, J. Heuser, M. L. Tondella, L. C. Pawloski, M. R. Weigand

“…ABSTRACT Over the past decade, genomic characterization of Bordetella pertussis isolates recovered from US pertussis patients has unveiled noteworthy structural gene order variations. Whole-genome sequencing (WGS) shows that although B. pertussis exhibits little gene sequence variation, genomes from clinical isolates frequently differ in gene order through rearrangement between insertion sequence elements. …”
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Spatiotemporal Evolution of Urban Driving Factors and Seasonal Heat Island Response from the Perspective of Local Climate Zones: A Case Study of Xiamen City, China by Jinxin Wang, Liangliang Sheng, Tao Li

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Endodontic treatment of a two-rooted mandibular first premolar with four root canals: a case report by Peiling Hu, Shuang Feng, Xin Li, Guangwen Li, Shiting Li

“…Identifying the complete structure of the root canal system to ensure that all root canals are perfectly cleared and filled becomes critical to the success of root canal therapy. …”
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Axial load induced vibrational changes in nonlocal stress-driven beams by Indronil Devnath, Mohammad Nazmul Islam

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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

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Climate Adaptability Analysis of Traditional Dwellings in Mountain Terraced Areas: A Case Study of ‘Mushroom Houses’ in the Hani Terraces of Yunnan, China by Luyao Hu, Yinong Liu, Xinkai Li, Pengbo Yan

“…By analyzing 30 years of meteorological data, the study identifies the local climatic characteristics of high temperatures, high humidity, and significant diurnal temperature variations. The thermal comfort voting method was used to establish a quantitative relationship between the Physiological Equivalent Temperature (PET) index and residents’ subjective thermal perceptions, thereby assessing seasonal variations in thermal comfort. …”
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A Robust Kalman Filter for Heavy-Tailed Measurement Noise Based on Gamma Pearson VII Mixture Distribution by Shen Liang, Guoliang Xu, Zhenmei Qin

“…This innovative methodology synthesizes Gaussian morphological properties with Gamma’s supplementary parameters within the Pearson VII structural framework, establishing a unified probabilistic modeling paradigm. …”
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Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

“…Special emphasis is placed on their practical utility in augmenting EEG data. The structural designs and performance metrics of the different generative approaches in various application domains have been meticulously dissected and discussed. …”
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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

“…This study addresses the optimization of the Vehicle Routing Problem (VRP) with prioritized customers by introducing and comparing two advanced solution approaches: a metaheuristic-based hyperheuristic framework and a Variational Autoencoder (VAE)-based hyperheuristic. …”
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Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

“…Lastly, the PSO algorithm is employed to search the latent space for optimal IL structures with the highest predicted solubility. A total of 5120 ILs are generated and optimized through 10 parallel runs of PSO. …”
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Bearing fault diagnosis based on improved DenseNet for chemical equipment by Wu Huiyong, Jiang Kuan, Wang Yanyu

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