Inter-model differences in 21st century glacier runoff for the world's major river basins by F. Wimberly, L. Ultee, L. Schuster, M. Huss, M. Huss, M. Huss, D. R. Rounce, F. Maussion, F. Maussion, S. Coats, J. Mackay, J. Mackay, E. Holmgren

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Artificial neural network (ANN) approach in predicting the thermo-solutal transport rate from multiple heated chips within an enclosure filled with hybrid nanocoolant by Tawsif Mahmud, Jiaul Haque Saboj, Preetom Nag, Goutam Saha, Bijan K. Saha

“…The set of equations controlling the thermo-solutal natural convection within the enclosure is simulated using the Galerkin weighted residual finite element method (FEM). …”
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Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

“…Furthermore, molecular dynamics simulations validated the stability and strength of these interactions. …”
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A digital twin for monitoring land use/cover and coastal change in Tobago by D. Ramsewak, A. Jagassar, B. Edwards, A. Potts

“…These comprehensive virtual models help to mirror physical environments, thereby offering real-time data integration, simulation, and predictive analytics. The island of Tobago, in the southeastern Caribbean Sea, has diverse landscapes and coastal regions ranging from tropical forests and mangrove ecosystems to thriving coral reefs and seagrass beds. …”
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Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…With the useful resource of point of interest data, the remaining city characteristic identification result is obtained. Finally, the simulation analysis shows that the area under curve (AUC) value of seven types of land use is 0.9376 for cultivated land, 0.85442 for forested land, 0.81747 for grassland, 0.8708 for water area, and 0.86672 for rural residential area. …”
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ReliefSeq: a gene-wise adaptive-K nearest-neighbor feature selection tool for finding gene-gene interactions and main effects in mRNA-Seq gene expression data. by Brett A McKinney, Bill C White, Diane E Grill, Peter W Li, Richard B Kennedy, Gregory A Poland, Ann L Oberg

“…The gwak-Relief-F algorithm outperforms Random Forests for detecting relevant genes in all simulation experiments. …”
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Rapid prediction of poly(butylene adipate-co-terephthalate)/poly(glycolic acid) (PBAT/PGA) agricultural films based on UV-accelerated aging tests with applicability to the environm... by Zihan Jia, Minglong Li, Bo Wang, Dongsheng Li, Peng Guo, Mingfu Lyu, Zhiyong Wei, Lin Sang

“…Ultraviolet accelerated aging method offers an effective approach to simulate the outdoor or field degradation in a shortened period. …”
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Effectively managed Northeast China Tiger and Leopard National Park by regulating Korean pine seed collection by Xiongjiao Hu, Weihua Xu, Limin Feng, Nan Jiang, Zhenhua Zang, Xi Zhang

“…Results indicated that Korean pine contracting was ongoing in approximately one-third of core protected zones, reflecting high-intensity forest resource utilization. Suitable habitat for amur tiger covered 57.9 % of the park’s total area, and 23.7 % was affected by seed collection areas, which implied seed collection may alter tiger habitat use and exacerbate regional human-tiger conflict risks. …”
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Soil moisture dominates gross primary productivity variation during severe droughts in Central Asia by Tao Yu, Guli Jiapaer, Anming Bao, Ye Yuan, Jiayu Bao, Tim Van de Voorde

“…The spatial pattern of SM anomalies is consistent with that of SIF and GPP. P-model simulations indicate that SM deficits dominated the decline in GPP in 2008 and 2021, affecting regions covering 31 % and 17 % of CA, respectively, with GPP reductions exceeding 5 %. …”
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Multidecadal estimation of hydrological contribution and glacier mass balance in the semi-arid Andes based on physically based modeling and geodetic mass balance by Alonso Mejías, Alonso Mejías, James McPhee, James McPhee, Hazem Mahmoud, David Farías-Barahona, Christophe Kinnard, Shelley MacDonell, Shelley MacDonell, Santiago Montserrat, Marcelo Somos-Valenzuela, Alfonso Fernandez

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Distinct Ecological Habits and Habitat Responses to Future Climate Change in Two Subspecies of <i>Magnolia sieboldii</i> K. Koch, a Tree Endemic to East Asia by Meng Li, Chang-Fei Zheng, Xiang-Qian Gao, Chang-Hong Li, Yong-Xiang Li, Xin-He Xia, Jun Yang, Yong-Qi Zheng, Ping Huang

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Contrasting spatial variations between above and below-ground net primary productivity in global grasslands by Ying Hu, Yue Yang, Yu Wei, Xiaozhen Li, Yue Jiao, Jiapei Liao, Ruiyu Fu, Lichong Dai, Zhongmin Hu

“…Among the nine machine learning methods compared, the random forest model provided the highest accuracy for productivity estimation (R2 = 0.63 ∼ 0.89). …”
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Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution by Ruize Xu, Jiahua Zhang, Fang Chen, Bo Yu, Shawkat Ali, Hidayat Ullah, Ali Salem Al-Sakkaf

“…Lag effects were observed in 68.83 % of vegetated areas, with 1 to 4-month delays in responses to net solar radiation and surface temperature, especially in forest and shrubland ecosystems. This study provides deeper insights into fine-scale GPP simulations and analysis of climate interactions, which are crucial for effective carbon cycle management in tropical ecosystems.…”
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Machine learning-assisted analysis of serum metabolomics and network pharmacology reveals the effective compound from herbal formula against alcoholic liver injury by Jiamu Ma, Peng Wei, Xiao Xu, Ruijuan Dong, Xixi Deng, Feng Zhang, Mengyu Sun, Mingxia Li, Wei Liu, Jianling Yao, Yu Cao, Letian Ying, Yuqing Yang, Yongqi Yang, Xiaopeng Wu, Gaimei She

“…The binding mode of the effective compound and the direct-acting target was verified by molecular docking, dynamics simulations, and western blotting. In this study, Baiji Wuweizi Granule (BWG) was employed to elucidate the effective compound against alcoholic liver injury (ALD). …”
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Current and future habitat suitability of northern fur seals and overlap with the commercial walleye pollock fishery in the eastern Bering Sea by Elizabeth A. McHuron, Elliott L. Hazen, Noel A. Pelland, Kelly A. Kearney, Wei Cheng, Albert J. Hermann, Rolf R. Ream, Jeremy T. Sterling

“…Methods We developed species distribution models using random forest models by combining satellite telemetry data from lactating female fur seals tagged at different rookery complexes on the Pribilof Islands in the eastern Bering Sea with regional ocean model simulations. …”
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Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

“…The capability of <inline-formula> <tex-math notation="LaTeX">$\textsf {MARSS}$ </tex-math></inline-formula> is further extended to infer the level of interference by designing a multi-level interference classification framework. Using extensive simulations in GNURadio, the superiority of <inline-formula> <tex-math notation="LaTeX">$\textsf {MARSS}$ </tex-math></inline-formula> in detecting interference over existing ML methods is demonstrated. …”
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An enhanced RPV model to better capture hotspot signatures in vegetation canopy reflectance observed by the geostationary meteorological satellite Himawari-8 by Wei Yang, Zhi Qiao, Wei Li, Xuanlong Ma, Kazuhito Ichii

“…Moreover, the estimated CI based on the ERPV model (0.66) was closer to the field measurement (0.65) for a mixed forest site than the RPV-based CI estimate (0.72) and the MODIS CI product (0.705). …”
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A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal by Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah, Habib Ullah

“…The paper emphasizes how ML models—such as Random Forest (RF) and Gradient Boosting Regression (GBR)—elucidate the nonlinear links between pyrolysis conditions (temperature, feedstock composition) and biochar performance. …”
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Mathematical modeling of Elbrus glaciers in the 21st century. Part 2. Forecasting glacier evolution and lake formation under various SSP scenarios by T. N. Postnikova, O. O. Rybak, A. S. Gubanov, H. Zekollari, M. Huss

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Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions by Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho, Chul-Hyun Cho

“…We developed ML models that predict the upper tertile group for various anxiety symptoms in SAD using Random Forest, extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and categorical boosting (CatBoost) models. …”
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