Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis by Yan Wu, Jianhong Wang, Jianhong Wang, Bo Chen, Yuxue Guo, Yuxue Guo, Ping Gan, Yanbing Han

“…The biological functions of the included genes were assessed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses and validated by quantitative reverse transcription PCR (qRT-PCR). …”
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Identification of cellular senescence-related genes as biomarkers for lupus nephritis based on bioinformatics by Wei Chen, Wei Chen, Xiaofang Wang, Xiaofang Wang, Guoshun Huang, Guoshun Huang, Qin Sheng, Enchao Zhou, Enchao Zhou

“…We explored their potential physiopathologic function through GSEA.ResultsWe obtained 432 genes related to cellular senescence, 1,208 differentially expressed genes (DEGs) and 840 genes in the key gene module related to LN, which were intersected with each other for CS-DEGs. …”
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AI-driven 3D bioprinting for regenerative medicine: From bench to bedside by Zhenrui Zhang, Xianhao Zhou, Yongcong Fang, Zhuo Xiong, Ting Zhang

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Geographic origin discrimination and quantification of phenolic compounds and moisture in Artemisia argyi folium using NIRS and chemometrics by Lifei Hu, Yifan Wang, Xin Wu, Yuanyuan Shan, Fengxiao Zhu, Fan Zhang, Qiang Yang, Mingxing Liu

“…Spectral preprocessing methods (Savitzky-Golay smoothing, normalization, standard normal variate, and multiplicative scatter correction) enhanced machine learning performance, with support vector machine (SVM), radial basis function (RBF), and convolutional neural network (CNN) models achieving scores of 1.0000 across performance metrics, indicating strong generalization and robustness. …”
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The Role of Artificial Intelligence in Predicting and Managing Pediatric Fracture Overgrowth: A Comprehensive Review by Daniela Alessia Marletta, Matteo Nanni, Gabriele Giuca, Ilaria Sanzarello, Biagio Zampogna, Danilo Leonetti

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Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization by Edith Heiter, Robin Vandaele, Tijl de Bie, Yvan Saeys, Jefrey Lijffijt

“…Unsupervised representation learning techniques are commonly employed to analyze high-dimensional or unstructured data. …”
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Architecture and implementation of ulrb algorithm in R by Francisco Pascoal, Rodrigo Costa, Luís Torgo, Catarina Magalhães, Paula Branco

“…Specifically, we include four groups of functions: 1) process data of the user into the correct format for the ulrb algorithm; 2) cluster taxa into abundance classifications; 3) helper functions to evaluate detailed statistics of the clustering steps; and 4) visualization functions, focused on rank abundance curves and Silhouette scores, for assessment of clustering quality. …”
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Development of a Mobile Application for Musculoskeletal Rehabilitation Based on Computer Vision and Inertial Navigation Technologies by Artem Obukhov, Andrey Volkov, Yuri Nikitnikov

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Transforming educational space under the impact of the pandemic: student and teacher well-being in higher education by L. V. Kozhevnikova, I. E. Starovoytova, A. V. Shishkova

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“A comprehensive review of AI-enhanced decision making: An empirical analysis for optimizing medication market business” by Zainab Nadhim Jawad, Dr. Villányi Balázs János

“…Enterprise Resource Planning (ERP) systems play a critical role in integrating key business functions, including customer relationship management (CRM), inventory control, and financial operations. …”
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Classifying sex with volume-matched brain MRI by Matthis Ebel, Martin Domin, Nicola Neumann, Carsten Oliver Schmidt, Martin Lotze, Mario Stanke

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Water beetle networks differences and migration between natural lakes and post-exploitation water bodies by Joanna Pakulnicka, Marek Kruk

“…To better understand the functioning of beetle communities in different ecosystems, we created five network models that we subjected to graph analysis. …”
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T3 Talk2Text – A model for near real-time voice transcription in virtual group meetings by Thomas Kasakowskij, Joerg M. Haake

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An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis by Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi lu, Fei Li

“…The hybrid kernel functions address the limitations of single kernel functions by effectively capturing both linear and nonlinear patterns in the data. …”
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Systematic searches for new inorganic materials assisted by materials informatics by Yukari Katsura, Masakazu Akiyama, Haruhiko Morito, Masaya Fujioka, Tohru Sugahara

“…We introduce our proprietary Materials Informatics (MI) technologies and our chemistry-oriented methodology for exploring new inorganic functional materials. Using machine learning on crystal structure databases, we developed ‘Element Reactivity Maps’ that displays the presence or the predicted formation probability of compounds for combinations of 80 × 80 × 80 elements. …”
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Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks by Dheyaa J. jasim, Husam Rajab, As'ad Alizadeh, Kamal Sharma, Mohsen Ahmed, Murizah Kassim, S. AbdulAmeer, Adil A. Alwan, Soheil Salahshour, Hamid Maleki

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Advanced bioprinting strategies for fabrication of biomimetic tissues and organs by Wei Long Ng, Cian Vyas, Boyang Huang, Wai Yee Yeong, Paulo Bartolo

“…Future directions in bioprinting are outlined, including multi-modal bioprinting systems, in-situ bioprinting, and the integration of machine learning into bioprinting processes. The critical role of bio-inks and printing methodologies in influencing cell viability is highlighted, providing insights into strategies for enhancing cellular functionality throughout the bioprinting process. …”
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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…Additional factors, such as neuronal connectivity assessed by functional MRI, may improve predictive accuracy. Nonetheless, MRI-based assessment of brain structure can enhance our understanding of the neural mechanisms underlying driving safety and inform strategies to prevent traffic accidents among older adults.…”
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EDUCATIONAL TOURISM AS A BASIS FOR THE GROWTH OF ECONOMIC ACTIVITY OF THE LABOR MARKET by Olesia Iastremska

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Convolutional neural network for dog breed recognition system by К. Хотінь, В. Шимкович, П. Кравець, А. Новацький, Л. Шимкович

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