Machine Learning-Based Non-Invasive Prediction of Metabolic Dysfunction-Associated Steatohepatitis in Obese Patients: A Retrospective Study by Jie Chen, Bo Zhang, Yong Cheng, Yuanchen Jia, Biao Zhou

“…Various ML models, including K-nearest neighbors, linear support vector machine, radial basis function support vector machine, Gaussian process, random forest, multilayer perceptron, adaptive boosting, and naïve Bayes, were developed through cross-validation and hyperparameter tuning. …”
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Combining rapid evaporative ionization mass spectrometry and chemometrics for the differentiation of cocoa bean quality by Julie Lestang, Susanne Miescher Schwenninger, Laura Nyström

“…These selection processes require extensive and time-consuming screening of numerous microbial strains. …”
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Probing nanoparticle proximity effects on selective butadiene hydrogenation over Pd-Au/TiO2 with parahydrogen-induced polarization NMR by Bintian Lu, Weiyu Wang, Shuangqin Zeng, Xiuzhi Gao, Jun Xu, Feng Deng

“…Selective butadiene hydrogenation to butene is a crucial process in the petrochemical industry, however, a comprehensive understanding of the underlying structure-activity relationships remains elusive. …”
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Chondrocyte fatty acid oxidation drives osteoarthritis via SOX9 degradation and epigenetic regulation by Zixuan Mei, Kamuran Yilamu, Weiyu Ni, Panyang Shen, Nan Pan, Huasen Chen, Yingfeng Su, Lei Guo, Qunan Sun, Zhaomei Li, Dongdong Huang, Xiangqian Fang, Shunwu Fan, Haitao Zhang, Shuying Shen

“…Excessive FAO causes acetyl-CoA accumulation, thereby altering protein-acetylation profiles, where the core FAO enzyme HADHA is hyperacetylated and activated, reciprocally boosting FAO activity and exacerbating OA progression. …”
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Dual NIR-II fluorescence and ratiometric photoacoustic imaging-guided metal-phenolic nanosheets for H2S-activatable synergistic therapy by Wenhui Zhang, Min Zhao, Leqiang Wang, Jiaqi Wang, Xiaoguang Ge, Junzhi Liu, Bin Chen, Shi Gao, Jingbin Lu

“…Moreover, EA can enhance the efficiency of chemodynamic therapy by boosting superoxide dismutase activity. Importantly, the degradation of Cu/EA-MOF can be indicated via the change of ratiometric PA signal intensity. …”
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Adaptive decentralized AI scheme for signal recognition of distributed sensor systems by Shixiong Zhang, Hao Li, Cunzheng Fan, Zhichao Zeng, Chao Xiong, Jie Wu, Zhijun Yan, Deming Liu, Qizhen Sun

“…Artificial intelligence (AI) plays a critical role in signal recognition of distributed sensor systems (DSS), boosting its applications in multiple monitoring fields. …”
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Pyruvate Abundance Confounds Aminoglycoside Killing of Multidrug-Resistant Bacteria via Glutathione Metabolism by Jiao Xiang, Si-qi Tian, Shi-wen Wang, Ying-li Liu, Hui Li, Bo Peng

“…Surprisingly, we identified a pyruvate-regulated glutathione system that occurs by boosting glycine, serine, and threonine metabolism. …”
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RETRACTED ARTICLE: A pH/enzyme dual responsive PMB spatiotemporal release hydrogel promoting chronic wound repair by Lanlan Dong, Can Huang, Baohua Zhao, Guangyun Hu, Yong Huang, Xiaorong Zhang, Xiaohong Hu, Ying Wang, XiaoyanSun, Wei Qian, Gaoxing Luo

“…Therefore, developing a microenvironment-responsive material with good biodegradability, drug-loading, anti-infection, and anti-inflammatory properties is desired to boost the chronic wounds healing process; however, using ordinary assembly remains a defect. …”
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Unraveling the microecological mechanisms of phosphate-solubilizing Pseudomonas asiatica JP233 through metagenomics: insights into the roles of rhizosphere microbiota and predatory... by Yuhan Tang, Linlin Wang, Jing Fu, Fangyuan Zhou, Hailei Wei, Xiaoqing Wu, Susu Fan, Xinjian Zhang

“…JP233 altered the rhizosphere microbial community, boosting taxa known for plant growth promotion. It also changed soil gene profiling, enriching pathways related to secondary metabolite biosynthesis, amino acids, carbon metabolism, and other key processes. …”
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Inkjet‐printed reconfigurable and recyclable memristors on paper by Jinrui Chen, Mingfei Xiao, Zesheng Chen, Sibghah Khan, Saptarsi Ghosh, Nasiruddin Macadam, Zhuo Chen, Binghan Zhou, Guolin Yun, Kasia Wilk, Georgios Psaltakis, Feng Tian, Simon Fairclough, Yang Xu, Rachel Oliver, Tawfique Hasan

“…We demonstrate a sustainable process covering material exfoliation, device fabrication, and device recycling. …”
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Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications by Jung Rae Cho, Donghyun Ryu, Donguk Kim, Wonjung Kim, Yeonwoo Kim, Changwook Kim, Yoon Kim, Myounggon Kang, Jiyong Woo, Dae Hwan Kim

“…Moreover, considering recent FLASH memory fabrication processes, we found that grain boundaries in polycrystalline silicon channel materials can be involved in deteriorating gate controllability. …”
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Advancements in photovoltaic technology: A comprehensive review of recent advances and future prospects by Abdelrahman O. Ali, Abdelrahman T. Elgohr, Mostafa H. El-Mahdy, Hossam M. Zohir, Ahmed Z. Emam, Mostafa G. Mostafa, Muna Al-Razgan, Hossam M. Kasem, Mohamed S. Elhadidy

“…Key manufacturing processes and efficiency enhancement techniques, including silicon wafer production and thin-film deposition, are thoroughly examined. …”
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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…By streamlining the identification of vaccine candidates early in the development process, this approach significantly reduces experimental burden and associated costs. …”
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XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging by Aya A. Abd El-Khalek, Hossam Magdy Balaha, Mohamed T. Azam, Ashraf Sewelam, Mohammed Ghazal, Abeer T. Khalil, Mohy Eldin A. Abo-Elsoud, Ayman El-Baz

“…This research shows the promise of AI and deep learning in improving AMD diagnoses and identifies future paths for boosting model performance and interpretability in medical imaging applications.…”
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Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing by Do Hyuck Kwon, Jung Min Ahn, Jong Cheol Pyo, Jiye Lee, Ather Abbas, Sanghyun Park, Kyunghyun Kim, Hyuk Lee, Kyung Hwa Cho

“…Utilizing a Bayesian neural network and natural gradient-boosting algorithm, we simulated phytoplankton abundance using airborne remote sensing data. …”
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The Role of Physical Activity in Enhancing and Preserving Skin Health by Julia Szatkowska, Mateusz Teofilak, Olga Śpiołek, Jan Siwiec, Natalia Smyl, Franciszek Kędziora, Agnieszka Wąsowicz, Aleksandra Słowikowska, Marcelina Sztyler-Krąkowska, Dariusz Fabian

“…Results and conclusions: Physical activity significantly benefits skin health by boosting collagen production, improving circulation, and reducing cortisol levels, resulting in a radiant and youthful complexion. …”
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Decoding memory with explainable AI: A large-scale EEG-based machine learning study of encoding vs. retrieval by Mohammed Tawshif Hossain, Adnan Sami Sarker, Arnab Chowdhury, Rajesh Mitra, Raiyan Rahman, M.R.C. Mahdy

“…This study advances understanding of cognitive memory processes and supports the development of adaptive, memory-aware AI systems, contributing to both neuroscience and neurotechnology.…”
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Landslide Risk Assessment as a Reference for Disaster Prevention and Mitigation: A Case Study of the Renhe District, Panzhihua City, China by Yimeng Zhou, Lei Xue, Hao Ding, Haoyu Wang, Kun Huang, Longfei Li, Zhuan Li

“…Firstly, based on 190 landslide points and 10 influencing factors, the landslide hazard was assessed using three models: random forest (RF), eXtreme Gradient Boosting (XGBoost), and Tabular Prior-data Fitted Network (TabPFN). …”
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The Regional Differentiation on the Spatial Distribution and Influencing Factors of Potential Landslides Across the Entire Loess Plateau, China, Based on InSAR and Subregion XGBoos... by Zhuo Jiang, Chaoying Zhao, Xiaojie Liu, Guoqiang Shi, Ming Yan, Qin Zhang, Jianbing Peng

“…Then, we adopt XGBoost (eXtreme Gradient Boosting) to model the effects of topographic, geomorphic, geological, hydrological factors on the landslides, and SHAP (Shapley additive explanation) algorithm to boost the interpretability and diaphaneity of modeling process. …”
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Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin by Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang

“…Land use change plays a pivotal role in understanding surface processes and environmental dynamics, exerting considerable influence on regional ecosystem management. …”
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