AI-driven generative and reinforcement learning for mechanical optimization of 2D patterned hollow structures by Yicheng Shan, Leitao Cao, Yu Wang, Jing Ren, Chen Huang, Wenli Gao, Shengjie Ling

“…We generated a comprehensive dataet comprising 1000 samples across five distinct density classes using a custom grid pattern generation algorithm, ensuring a wide range of structural variations. …”
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Identification of diagnostic hub genes related to energy metabolism in idiopathic pulmonary fibrosis by S. Zhao, S. Zhao, B. C. Sun, N. Liu, R. Huo, L. S. Liu, J. P. Wang, J. P. Wang, C. Y. Fang, C. Y. Fang

“…Immune infiltration analyses, including the CIBERSORT algorithm, and single-sample gene set enrichment analysis (ssGSEA), were subsequently conducted.ResultsWe identified 12 EMRDEGs and eight hub genes (ACSL1, CEBPD, CFH, HMGCS1, IL6, SOCS3, TLR2, and UCP2). …”
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Development of a machine learning-based predictive risk model combining fatty acid metabolism and ferroptosis for immunotherapy response and prognosis in prostate cancer by Zhenwei Wang, Zhihong Dai, Yuren Gao, Zhongxiang Zhao, Zhen Li, Liang Wang, Xiang Gao, Qiuqiu Qiu, Xiaofu Qiu, Zhiyu Liu

“…Functional enrichment analysis revealed distinct pathway activities, with high-risk patients showing enrichment in immune-related and proliferative pathways, while low-risk patients were enriched in metabolic pathways. …”
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Quantitative inversion of suspended particulate matter in Ebinur lake, an arid region: Evidence based on radiative transfer mechanism model by Ziheng Feng, Fei Zhang, Xiaolan Cai, Changjiang Liu, Di Wu, Zhenzhou Zhu, Zia Ahmed, Shuai Yuan, Xu Ma, Lifei Wei, Xin He

“…Sensitivity analysis indicates that SPM and ζSPM are the primary drivers of remote sensing reflectance (Rrs), while CDOM strongly absorbs in the shortwave region, and Chla exhibits weak, easily masked signals. …”
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Application of cross-polarization imaging in distinguishing between squamous and columnar epithelium of the cervix by Cat Phan Ngoc Khuong, Hieu Nguyen Trung, Duc Le Huynh, Quynh Nguyen Ngoc, Hai Pham Thanh, Long Nguyen, Hanh Tran Thi Thu, Tu Ly Anh, Tien Tran Van

“…Notably, the combination of the cross-polarization imaging technique with our proposed algorithm enables the clear observation of the SCJ boundary. …”
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Effect of Achieving Sustained SDAI Remission on Erosion Healing in Early Rheumatoid Arthritis - A One-year Prospective HR-pQCT Study by Qihan Wu, Ho So, Tsz-Ho Cheng, Yingzhao Jin, Sze-Lok Lau, Lai-shan Tam

“…High-resolution peripheral quantitative CT (HR-pQCT) is a novel technique for detailed bone microstructure analysis allowing volumetric assessment of bone erosions. While most patients demonstrating little baseline joint damage on radiography in the early stage of RA, whether achieving simple disease activity index (SDAI) remission can lead to better structural outcome is to be confirmed. …”
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The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning by David M. Hannon, Jaffar David Abbas Syed, Bairbre McNicholas, Michael Madden, John G. Laffey

“…Patients predicted to survive had 13.3% mortality, while those predicted to die had 66.67% mortality. …”
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Enhancing ROP plus form diagnosis: An automatic blood vessel segmentation approach for newborn fundus images by José Almeida, Jan Kubicek, Marek Penhaker, Martin Cerny, Martin Augustynek, Alice Varysova, Avinash Bansal, Juraj Timkovic

“…Clarity RetCam3 images achieved an accuracy of 0.94, specificity of 0.95, and sensitivity of 0.81, while Phoenix ICON images achieved an accuracy of 0.94, specificity of 0.97, and sensitivity of 0.83. …”
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Generic health status improves after non-surgically and surgically treated hip abductor tendon pathology: a retrospective study of ninety-seven female patients by Nickan Zakikhany, Jeppe Lange, Bent Lund, Marie B. Bohn

“…Generic health status may improve after three months of patient education and rehabilitation in some cases, while surgery may improve health status three months postoperative in the remaining cases. …”
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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population by Xianli Qiu, Yong Han, Changchun Cao, Yuheng Liao, Haofei Hu

“…Conclusion This study identifies statistically significant associations between atherogenicity indices and prediabetes risk, highlighting their nonlinear relationships and combined effects. While the predictive performance of these indices is modest (AUC 0.55–0.68), these findings may contribute to improved risk stratification when incorporated into comprehensive assessment strategies.…”
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Optimized Spectral and Spatial Design of High-Uniformity and Energy-Efficient LED Lighting for Italian Lettuce Cultivation in Miniature Plant Factories by Zihan Wang, Haitong Huang, Mingming Shi, Yuheng Xiong, Jiang Wang, Yilin Wang, Jun Zou

“…The spectral configurations were aligned with the measured absorption peaks of Italian lettuce (450–470 nm and 640–670 nm), achieving a spectral mixing uniformity exceeding 99%, while the spatial light intensity uniformity surpassed 90%. …”
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The effect of propofol on the grading of diastolic function: a prospective observational study by Shalin Desai, Zachary Hamilton, Lynh McCloskey, Orode Badakhsh, David Li, Neal W. Fleming

“…Of those 49 patients, 20 (41%) had an improvement, while 29 (59%) had a worsening of their diastolic function grade. …”
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Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning by Riqiang Chen, Lipeng Ren, Guijun Yang, Zhida Cheng, Dan Zhao, Chengjian Zhang, Haikuan Feng, Haitang Hu, Hao Yang

“…Leaf chlorophyll content (LCC) serves as a vital biochemical indicator of photosynthetic activity and nitrogen status, critical for precision agriculture to optimize crop management. While UAV-based hyperspectral sensing offers maize LCC estimation potential, current methods struggle with overlapping spectral bands and suboptimal model accuracy. …”
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Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model by Lufeng Chen, Qingquan Chen, Zhimin Huang, Ling Yao, Jiajing Zhuang, Haibin Lu, Yifu Zeng, Jimin Fan, Ailing Song, Yixiang Zhang

“…A total of eight significant predictors finally identified by the LASSO algorithm was incorporated into prediction models. …”
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Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model by Huiying Zhang, Xin Liu, Zhen Li, Xiaotao Chang, Heping Sun, Hui Li, Jinyun Guo

“…Firstly, the accuracy of the algorithm is verified using the 2190-degree XGM2019e_2159 gravity field model and the 2159-degree EGM2008 gravity field model. …”
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A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery by Xuqing Li, Huitao Gu, Ruiyin Tang, Bin Zou, Xiangnan Liu, Huiping Ou, Xuying Chen, Yubin Song, Wei Luo, Bin Wen

“…The traditional laboratory-based methods for monitoring soil heavy metals are limited for large-scale applications, while hyperspectral imagery data-based methods still face accuracy challenges. …”
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Decoding Flow-Ecology Relationships: A Machine learning framework for flow regime Characterization and riparian vegetation prediction by Yifan Huang, Xiang Zhang, Jing Xu, Liangkun Deng, Yilun Li

“…Future NDVI projections indicate that ecosystem productivity increased with phenological diversity under the SSP2-4.5 scenario, while NDVI dynamics under the SSP5-8.5 scenario reveals vegetation homogenization and increased heat stress. …”
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Smartphone intervention for pregnancy smoking cessation with peer support: the study protocol of the SmokeFree Together 2.0 (SFT 2.0) randomised controlled trial by Ken Resnicow, Kristie Foley, Daniel Muresan, Oana M Blaga, Marina D Dascal, Alexandra Onișor, Teodora Frățilă, Andreea Morar, Dan Mihu, Cristian I Iuhas, Gabriela Caracostea, Cristian I Meghea

“…The app leverages the unique functionality of smartphones and reinforcement learning (RL) to provide a deeply tailored intervention that continuously adapts while emphasising positive support through reciprocal interactions between the smoker and the support person. …”
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Capturing the extent of climate's dynamic effects on runoff and nutrient yields across short- and long-term scales by Di Chang, Shuo Li

“…In contrast, temperature restrained runoff and nutrient outputs over long–term, while exhibiting considerable variability across short–term periods. …”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…A supervised classification via the Super Vector Machine algorithm identified four land use categories: built-up areas, barren lands, green spaces, and water bodies. …”
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