Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope by S. Uhlemann, L. Peruzzo, C. Chou, K. H. Williams, S. Wielandt, C. Wang, N. Falco, Y. Wu, B. Carr, P. Meldrum, J. Chambers, B. Dafflon

“…Abstract Predicting the hydrological response of watersheds to climate disturbances requires a detailed understanding of the processes connecting hillslopes and streams. …”
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Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…Both seams exhibited similar spatial distributions, with low brittleness values in the central and southeastern parts of the study area. …”
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Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer by Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai, Kenta Nakai

“…Remarkably, we identified a prognostic signature comprising 40 significant genes in the MHC-II-expressing tumors in which machine leaning models with the signature successfully predicted patient survival outcomes and the degree of immune infiltration. …”
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A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment by Polina Pilyugina, Timofey Chernikov, Maria Smirnova, Alexey Zaytsev, Alexander Bulkin, Evgeny Burnaev, Ilya S. Belalov, Nazar Sotiriadi, Albert Efimov, Yury Maximov, Oleg Anisimov

“…Purely data-driven models also face limitations due to the spatial and temporal sparsity of observational data. …”
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Numerical Study on Heat Leakage, Thermal Stratification, and Self-Pressurization Characteristics in Liquid Helium Storage Tanks by Jing Xu, Fa’an Liu, Jianguo Zhang, Chao Li, Qinghua Liu, Changjun Li, Wenlong Jia, Shixiong Fu, Longjiang Li

“…It is shown that the predictive performance of the mLee model for the self-boosting characteristics (relative deviation of 14.32%) was significantly improved compared with that of the Lee model (relative deviation of 39.64%). …”
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High-frequency Coronal Alfvénic Waves Observed with DKIST/Cryo-NIRSP by Richard J. Morton, Momchil Molnar, Steven R. Cranmer, Thomas A. Schad

“…This result appears to challenge some models of photospheric-driven Alfvénic waves that predict a lack of high-frequency wave power in the corona owing to strong chromospheric damping. …”
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Real-Time Human Group Detection and Clustering in Crowded Environments Using Enhanced Multi-Object Tracking by Hyunmin Lee, Donggoo Kang, Hasil Park, Sangwoo Park, Dasol Jeong, Joonki Paik

“…To address these limitations, we propose a novel algorithm that integrates an optimized YOLOv8 model with DeepSORT tracking, enhancing both detection accuracy and real time performance. …”
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Volcano activity classification from synergy of EO data and machine learning: an application to Mount Etna volcano (Italy) by C. Petrucci, G. Romoli, A. Pignatelli, E. Trasatti, F. Zuccarello, F. Greco, M. Dozzo, G. Bilotta, F. Spina, G. Ganci

“…The study addresses challenges like temporal and spatial disparities and class imbalances through data preprocessing, ensuring a reliable dataset for training and validation. …”
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Particle size and inter-particle spacing effect on thermal performance of MHD copper nanofluid flow over dual-stretching rectangular frame: ANN-based simulations by Adil Darvesh, Fethi Mohamed Maiz, Luis Jaime Collantes Santisteban, Talha Anwar, Khalid Almutairi

“…The resulting system is solved using the bvp4c framework, while artificial neural network (ANN) is developed to train the solution data for robust predictions under varying parameter conditions. It is worth noting that the proposed ANN model yields a mean squared error (MSE) of 1.679e−10 and a regression coefficient of 1, which indicates the excellent predictive accuracy and ensures model efficacy. …”
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Land Use and Climate Change Accelerate the Loss of Habitat and Ecological Corridor to Reeves's Pheasant (Syrmaticus reevesii) in China by Qingqing He, Shan Tian, Junqin Hua, Zhengxiao Liu, Yating Liu, Ting Jin, Jiliang Xu

“…However, determining the causal factors of their extinction and carrying out protection measures appear to be challenging owing to a lack of long‐term data with high spatial and temporal resolutions. Here, based on a national field survey, we used habitat suitability models and integrated data on geographical environment, road development, land use, and climate change to predict the potential changes in the distribution and connectivity of the habitat of Reeves's pheasant from 1995 to 2050. …”
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Lower ambulatory care availability and greater hospital capacity are associated with higher hospital case volumes by Doreen Müller, Manas K. Akmatov, Dominik Graf von Stillfried

“…Global Moran’s I confirmed spatial clustering, and GWR revealed heterogeneous effects of primary-care access on hospital admissions, whereas bed capacity uniformly increased hospital cases and shorter GP distances consistently predicted more office visits across Germany. …”
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Hypoperfusion regions linked to National Institutes of Health Stroke Scale scores in acute stroke by Hana Kim, Alex Teghipco, Chris Rorden, Julius Fridriksson, Mathew Chaves, Argye E. Hillis

“…Additionally, we used stability selection to identify the most consistent features across subsets, reducing overfitting and ensuring robust predictive models. We verified the consistency of results through nested cross-validation. …”
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Evidence for a Fast Soft X-Ray Wind in M82 from XMM-RGS by Erin Boettcher, Edmund Hodges-Kluck

“…Starburst wind models predict that metals and energy are primarily carried out of the disk by hot gas ( T > 10 ^6 K), but the low energy resolution of X-ray CCD observations results in large uncertainties on the mass and energy loading. …”
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Differentiating Cheatgrass and Medusahead Phenological Characteristics in Western United States Rangelands by Trenton D. Benedict, Stephen P. Boyte, Devendra Dahal

“…These control strategies require accurate maps of the timing and spatial patterns of the developmental stages to apply mitigation strategies in the correct areas at the right time. …”
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LWSARDet: A Lightweight SAR Small Ship Target Detection Network Based on a Position–Morphology Matching Mechanism by Yuliang Zhao, Yang Du, Qiutong Wang, Changhe Li, Yan Miao, Tengfei Wang, Xiangyu Song

“…Furthermore, we propose a Position–Morphology Matching IoU loss function, P-MIoU, which integrates center distance constraints and morphological penalty mechanisms to more precisely capture the spatial and structural differences between predicted and ground truth bounding boxes. …”
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Physics‐Informed Neural Networks Trained With Time‐Lapse Geo‐Electrical Tomograms to Estimate Water Saturation, Permeability and Petrophysical Relations at Heterogeneous Soils... by C. Sakar, N. Schwartz, Z. Moreno

“…Synthetic ERT surveys with electrode spacing 10 times larger than the numerical model resolution were conducted to provide 2D electrical tomograms. …”
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A long neglected world malaria map: Plasmodium vivax endemicity in 2010. by Peter W Gething, Iqbal R F Elyazar, Catherine L Moyes, David L Smith, Katherine E Battle, Carlos A Guerra, Anand P Patil, Andrew J Tatem, Rosalind E Howes, Monica F Myers, Dylan B George, Peter Horby, Heiman F L Wertheim, Ric N Price, Ivo Müeller, J Kevin Baird, Simon I Hay

“…The model incorporated data on Duffy negative phenotype frequency to suppress endemicity predictions, particularly in Africa. …”
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Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management by Ying Deng, Yue Zhang, Daiwei Pan, Simon X. Yang, Bahram Gharabaghi

“…This review also discusses the effectiveness of these models in predicting various water quality parameters, offering insights into the most appropriate model–satellite combinations for different monitoring scenarios. …”
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The techniques and applications of patient-derived head and neck cancer organoids: a systematic review by Yangyang Xia, Shang Xie, Zhigang Cai, Xiaofeng Shan

“…Results The novel three-dimensional models represented by tumor organoids have filled the gaps in spatial structure and clinical reproducibility of traditional two-dimensional cancer cell lines. …”
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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space by Shuai Li, Shufang He, Yuanrui Dong, Caihong Dai, Jinyuan Liu, Yanfei Wang, Hiroaki Shigemasu

“…In the future, it is necessary to explore methods for easier manipulating of depth cue signals in stereoscopic images and adopting deep learning-related methods to construct models and predict depths, to meet the increasing demand of human–computer interaction in complex 3D scenarios.…”
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