Innovative Design Method for Lingnan Region Veranda Architectural Heritage (Qi-Lou) Facades Based on Computer Vision by Qiang Tang, Liang Zheng, Yile Chen, Junming Chen, Shuai Yang

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An Efficient Methodology for the Categorization of Software Requirements Using Natural Language Processing and Similarity Analysis by Rahat Izhar, Kenneth Cosh, Lachana Ramingwon, Sakgasit Ramingwong, Shahid N. Bhatti

“…The classification of software requirements into functional (FRs) and non-functional requirements (NFRs) is indispensable for the efficacious implementation of software systems. …”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

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Multiphase Transport Network Optimization: Mathematical Framework Integrating Resilience Quantification and Dynamic Algorithm Coupling by Linghao Ren, Xinyue Li, Renjie Song, Yuning Wang, Meiyun Gui, Bo Tang

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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease by Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Matteo Pardini, Federico Massa, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Cristina Campi, Michele Piana, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Antonio Uccelli, Bruno Giometto, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni

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Fecal Metabolome and Bacterial Composition in Severe Obesity: Impact of Diet and Bariatric Surgery by Nuria Salazar, Manuel Ponce-Alonso, María Garriga, Sergio Sanchez-Carrillo, Ana María Hernández-Barranco, Begoña Redruello, María Fernández, José Ignacio Botella-Carretero, Belén Vega-Piñero, Javier Galeano, Javier Zamora, Manuel Ferrer, Clara G de Los Reyes-Gavilán, Rosa Del Campo

“…The aim of this study was to monitor the impact of a preoperative low-calorie diet and bariatric surgery on the bacterial gut microbiota composition and functionality in severe obesity and to compare sleeve gastrectomy (SG) versus Roux-en-Y gastric bypass (RYGB). …”
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Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy by Yinzhen Tan, Bo Yu, Jianxin Pan, Wuliang Yin, Min Wang, Hua Wang, Kai Yang, Qingtai Xiao

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“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration by Peichuan Xu, Peichuan Xu, Kaihui Li, Jinghong Yuan, Jinghong Yuan, Jiangminghao Zhao, Jiangminghao Zhao, Huajun Pan, Huajun Pan, Chongzhi Pan, Chongzhi Pan, Wei Xiong, Wei Xiong, Jianye Tan, Jianye Tan, Tao Li, Tao Li, Guanfeng Huang, Guanfeng Huang, Xiaolong Chen, Xiaolong Chen, Xinxin Miao, Dingwen He, Xigao Cheng, Xigao Cheng

“…Differential gene expression analysis, PPI network, GO and KEGG pathway enrichment analysis, GSVA, co-expressed gene analysis and key gene-related networks were also performed to explore hub genes and their associated functions. Lastly, the differential expression and functions of key genes were validated through in vitro and in vivo experiments.ResultsThrough multiple machine learning methods, monocytes were identified as the crucial immune cells in IDD, exhibiting significant differentiation capacity. …”
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3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys by Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai-Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang

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Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer by Qiang Luo, Qiang Luo, Tingting Jiang, Tingting Jiang, Dacheng Xie, Xiaojia Li, Xiaojia Li, Keping Xie, Keping Xie

“…Prognostic modeling of PC was developed using 14 machine learning algorithms, with performance validated through long-term survival metrics, functional enrichment, immune infiltration analysis, and drug sensitivity profiling. …”
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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features by D. V. Krasnoproshin, M. I. Vashkevich

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KG4Py: A toolkit for generating Python knowledge graph and code semantic search by Lu Liang, Yong Li, Ming Wen, Ying Liu

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Gene expression knowledge graph for patient representation and diabetes prediction by Rita T. Sousa, Heiko Paulheim

“…Abstract Diabetes is a worldwide health issue affecting millions of people. Machine learning methods have shown promising results in improving diabetes prediction, particularly through the analysis of gene expression data. …”
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Sentiment Analysis of Online Vehicle Tax Renewal Application Users Using Support Vector Machine Algorithm by Muhamad Ilham Fauzy, Ferian Fauzi Abdulloh

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Higher‐order modular regulation of the human proteome by Georg Kustatscher, Martina Hödl, Edward Rullmann, Piotr Grabowski, Emmanuel Fiagbedzi, Anja Groth, Juri Rappsilber

“…Here, we capture 31 higher‐order co‐regulation modules, which we term progulons, by help of supervised machine‐learning on proteomics data. Progulons consist of dozens to hundreds of proteins that together mediate core cellular functions. …”
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Adoption of Data-Driven Automation Techniques to Create Smart Key Performance Indicators for Business Optimization by Michael Sishi, Arnesh Telukdarie

“…However, traditional KPIs are inflexible and cannot adapt to changes in staff, business units, functions, and processes. To address this issue, this paper proposes a method that combines statistics, machine learning (ML), and artificial intelligence (AI) to augment traditional KPIs with the flexibility of data-driven automation (DDA) techniques. …”
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Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy by Wenlong Liao, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang, Fernando Porté-Agel

“…Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. …”
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IMPLEMENTATION SIMULATION TECHNOLOGIES IN MEDICAL EDUCATION by Olga Kovalyova

Efficient 3D Shape Matching: Dense Correspondence for non-isometric Deformation by Amirreza Amirfathiyan, Hossein Ebrahimnezhad

“…This paper presents an application of deep learning in computer graphics, utilizing learn-based networks for 3D shape matching. …”
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Determination of Pipe Diameters for Pressurized Irrigation Systems Using Linear Programming and Artificial Neural Networks by Ezgi Kurtulmuş, Ferhat Kurtulmuş, Hayrettin Kuşçu, Bilge Arslan, Ali Osman Demir

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