The Potential Mechanism of Curcumin in Treating Oral Squamous Cell Carcinoma Based on Integrated Bioinformatic Analysis by Wu Siyuan, Lv Xiaozhi, Wu Jialin, Haigang Wei, Shiwei Liu, Chen Zou, Jing Song, Li Xia, Ai Yilong

“…The enrichment analysis was performed by the ClusterProfiler algorithm and Metascape, respectively. Then, a protein-protein interaction network was created, and the maximal clique centrality algorithm was used to identify the top 10 hub genes. …”
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Ecological Identity and Social Representation of Green MSMEs: Ergo-Iconic Value, Performativity, and Representational Resistance in the Platform Economy by Andriyansah Andriyansah

“…The findings reveal three dominant patterns: (1) the symbolization of ergo-iconic value, combining tangible ecological practices with aesthetic visualizations as symbolic capital; (2) performative and algorithm-driven sustainability, where content is crafted to attract visibility within a competitive platform ecosystem; and (3) representational resistance, where certain MSMEs choose to highlight complex ecological processes that may not be “Instagrammable” but are instead educational and contextually grounded. …”
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Inflammatory markers mediate the association between alternative adiposity indices and mortality in patients with rheumatoid arthritis: data from NHANES 1999–2018 by Feng Luo, Jia-jie Guo, Xue-mei Yuan, Heng Zhou, Qiu-yi Wang, Chang-ming Chen, Xue-ming Yao, Wu-kai Ma

“…Traditional obesity indicators inadequately predict the mortality risk in this population. Thus, the research aimed to evaluate new obesity indicators to explore their close association with RA mortality. …”
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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

“…Using appropriate algorithmic techniques, the study expects the model to have a sensitivity of >80% and a positive predicted value of >70%. …”
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Investigating employment patterns and determinants in the European Union through panel data insights by Vasilescu Maria Denisa, Stănilă Larisa, Crivoi Silvana, Belu Maria Berta

“…The selected indicators covered the economic, educational, and social dimensions, providing a complex vision of employment and how it can be improved. …”
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IMA-FLADRC-Based Electric-Driven High-Speed Maize Precision Seeding Control Strategy and System by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Dongming Zhang, Tao Chen, Wensheng Sun

“…This study develops an electric-driven high-speed maize precision seeding control system, establishing kinematic models for the seeding and guiding motors relative to operating speed. An Improve Mayfly Algorithm-Fuzzy Linear Active Disturbance Rejection Control (IMA-FLADRC)-based control strategy is proposed, integrating a fuzzy algorithm to adaptively adjust the proportional coefficient of the Linear State Error Feedback (LSEF) and optimizing key parameters using an IMA, enhancing system adaptability and robustness. …”
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Modification of IPI Method for Extraction of Short-Term and Imminent OLR Anomalies and Case Study of Two Large Earthquakes by Maoning Feng, Pan Xiong, Weixi Tian, Yue Liu, Changhui Ju, Cheng Song, Yongxian Zhang

“…The Pattern Informatics Method (PI) was initially developed for medium-to-long-term earthquake prediction by analyzing changes in seismic activity. …”
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Multiobjective Optimal Control of Longitudinal Seismic Response of a Multitower Cable-Stayed Bridge by Geng Fangfang, Ding Youliang

“…To this end, a multiobjective optimization design method that uses a nondominating sort genetic algorithm II (NSGA-II) is used to optimize parameters of the viscous fluid dampers. …”
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Toward 6G: Latency-Optimized MEC Systems with UAV and RIS Integration by Abdullah Alshahrani

“…Extensive simulations validate the superiority of the proposed method, demonstrating significant latency reductions compared to state-of-the-art approaches, thereby advancing the feasibility of MEC in 6G networks.…”
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Identification of RNA Modification-Associated Alternative Splicing Signature as an Independent Factor in Head and Neck Squamous Cell Carcinoma by Jie Liu, Wenmin Deng, Zhiwen Xiao, Xiaofeng Huang, Minmin Lin, Zhen Long

“…Besides, a nomogram prediction model of quantitative prognosis has also been developed, which has robust effectiveness in predicting prognosis. …”
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A machine learning model for the computation of thermophysical properties of WCO biodiesel mixed with multiwalled carbon nanotubes by Hussain Syed Sameer, Ali Syed Abbas, Husain Dilawar, Sharma Manish

“…Further, the MultiLayer Neural Network (MLNN) is a ML model that employs a back-propagation algorithm for mapping the input-output parameters. …”
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Enhancing placental pathology detection with GAMatrix-YOLOv8 model by Weirui Wu, Zhifa Jiang, Jingwen Liu, Jiahui Ji, Xiaoyan Wei, Xiangyun Ye, Zhen Zhang

“…Conclusions: GAMatrix-YOLOv8 achieves unprecedented prediction accuracy in detecting delayed villous maturation in placental pathological tissues through algorithmic innovation. …”
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Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning by ShengHui Miao, YiJing Liu, Min Li, Jing Yan

“…Incorporating early ICU baseline variables into an XGBoost algorithm enables effective prediction of high-mortality risk subgroups (AUC > 0.8). …”
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Cyber hygiene of the digital twin of the civil aviation occupational safety management system in the context of quantum transformation by Kayrat Koshekov, Baurzhan Bakirov, Almat Sakhov, Levchenko Nataliіa, Yuri Tanovitskiy, Abay Koshekov, Yakub Kurbanov, Rustam Togambayev

“…Results: a methodology for assessing the cyber hygiene of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation in the context of quantum transformation has been developed; it has been proven that the process of transition of the cyber hygiene system from one state to another, in response to the measures taken, is an iterative process, which allows dynamically monitoring the effectiveness of the taken measures on DT cyber hygiene and predicting its further state; algorithm for the sequence of stages of assessing the state of DT cyber hygiene and their relationship within a cyclic process has been developed. …”
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The Enhancer–Promoter-Mediated <i>Wnt8a</i> Transcription During Neurite Regrowth of Injured Cortical Neurons by Shr-Han Weng, Wen-Ling Liao, Linyi Chen

“…In this study, we investigated the regulatory mechanism of <i>Wnt8a</i> transcription. An algorithm was developed to predict the novel enhancer regions of candidate genes. …”
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A cloud-metaheuristic-based framework for stochastic optimization of a hybrid wind/hydrogen based-Fuel cell system in distribution network considering uncertainty by Ali S. Alghamdi

“…An improved Fire Hawks Optimization (IFHO) algorithm is utilized in solving the optimization problem by determining the optimal installation locations and sizes of HRES components. …”
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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…Finally, the Q-learning algorithm is utilized to reconstruct vehicle travel paths between adjacent ALPR sensors based on the comprehensive reward function. …”
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An Update on Hepatorenal Syndrome by Samuel Chan, Kenneth Au, Ross Francis, David W Mudge, David W Johnson, Tony Rahman

“…HRS is associated with poor prognosis and represents the end-stage of a sequence of reductions in renal perfusion induced by progressively severe hepatic injury. …”
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A Cloud-Based Intelligence System for Asian Rust Risk Analysis in Soybean Crops by Ricardo Alexandre Neves, Paulo Estevão Cruvinel

“…Rules derived from time-series data are employed to enable scenario prediction for risk evaluation related to disease development. …”
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Artificial intelligence in personalized cardiology treatment by Abbas Mohammadi, Sheida Shokohyar

“…This study examines the advancements and challenges in personalized cardiovascular medicine, highlighting the need to address issues such as data privacy, algorithmic bias, and accessibility to promote the equitable application of personalized medicine.…”
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