HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer by Chiara M. L. Loeffler, Hideaki Bando, Srividhya Sainath, Hannah Sophie Muti, Xiaofeng Jiang, Marko van Treeck, Nic Gabriel Reitsam, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tomomi Nishikawa, Toshihiro Misumi, Saori Mishima, Daisuke Kotani, Hiroya Taniguchi, Ichiro Takemasa, Takeshi Kato, Eiji Oki, Yuan Tanwei, Wankhede Durgesh, Sebastian Foersch, Hermann Brenner, Michael Hoffmeister, Yoshiaki Nakamura, Takayuki Yoshino, Jakob Nikolas Kather

“…Circulating tumor DNA (ctNDA) detects molecular residual disease (MRD), but lacks spatial and tumor microenvironment information. Here, we develop a deep learning (DL) model to predict disease-free survival from hematoxylin & eosin stained whole slide images in stage II-IV colorectal cancer. …”
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Evaluation of impact of surface dynamic subsidence on construction of pumped storage hydropower plants in abandoned open-pit mines by Yang LI, Xinghai LEI, Nan WANG, Yuqi REN, Xiangyang JIN, Ke WANG, Kuichao JIANG, Peng GE, Xue XIA, Tiezheng LI, Xiaoming SHI, Yuliang WANG

“…The modified Knothe time function model that comprehensively considers the interaction between underground and open-pit mining can more accurately predict surface dynamic subsidence. …”
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The fungal collaboration gradient drives root trait distribution and ecosystem processes in a tropical montane forest by M. Dantas de Paula, T. Reichert, L. F. Lugli, E. McGale, K. Pierick, K. Pierick, J. P. Darela-Filho, L. Langan, J. Homeier, J. Homeier, A. Rammig, T. Hickler, T. Hickler

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Analysis of antibiotic use and access to drugs among poultry farmers in Kenya by Dishon M. Muloi, Mitchelle R. Kasudi, Maurice K. Murungi, Eugine Lusanji Ibayi, Samuel Kahariri, Charity Karimi, Max Korir, Bridgit Muasa, Damaris Mwololo, Romona Ndanyi, Robert Ndungi, Jane Njiru, Ruth Omani, Rose Owada, Sylvia Omulo, Allan Azegele, Eric M. Fèvre

“…Spatial maps suggests both risks and opportunities for antibiotic access and veterinary care.…”
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Urban buzz or urban bust? Beekeeping challenges, suitability, and survival insights in Montreal, Canada by Navid Mahdizadeh Gharakhanlou, Julien Vadnais, Liliana Perez, Nico Coallier

“…These results confirm RSF's superior performance and suggest that broader spatial context may enhance prediction accuracy. Additionally, our findings revealed that the surrounding hive count was the strongest predictor of beehive survival in both buffer scenarios. …”
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The effect of cell geometry on polarization in budding yeast. by Michael Trogdon, Brian Drawert, Carlos Gomez, Samhita P Banavar, Tau-Mu Yi, Otger Campàs, Linda R Petzold

“…In this paper we set out to elucidate the effect that the geometry of the cell can have on the dynamics of certain models of polarization. Specifically, we look at several spatial stochastic models of Cdc42 polarization that have been adapted from published models, on a variety of tip-shaped geometries, to replicate the shape change that occurs during the growth of the mating projection. …”
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Scenario Simulation of Ecosystem Services Based on Land Use/Land Cover Change in the Bailong River Basin, in China by Shuangying Li, Yanyan Zhou, Dongxia Yue, Zhongling Guo, Zhi Li

“…Studying LUCC and its impact on ESs is crucial for a comprehensive understanding of the impact of human activities on ecosystems. The InVEST model coupled with the predicted land use data were used to analyze the spatiotemporal characteristics of four ESs (soil conservation (SC), water yield (WY), carbon storage (CS), and habitat quality (HQ)) under three scenarios from 2040 to 2100 and quantified trade-offs/synergies and bundles of these ESs within the Bailong River Basin (BRB). …”
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Cognitive characteristics and ischemic prognosis of quantitative white matter hyperintensities in adult moyamoya disease by Ziqi Liu, Xiaokuan Hao, Qi Duan, Chaoran Shen, Haojin Lyu, Junze Zhang, Jing Gu, Shihao He, Yanru Wang, Xilong Wang, Zhenyu Zhou, Ning Ma, Ran Duan, Xinlin Zhou, Xin Lou, Rong Wang

“…Results MMD patients present decreases in intelligence (P = 0.000), spatial working memory (P = 0.011), verbal working memory 1 (P = 0.000) and 2 (P = 0.000), mental rotation (P = 0.008), and executive inhibition (P = 0.011). …”
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Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

“…By setting appropriate thresholds, the model identifies whether each meteorological factor causes significant changes in heat transfer, ultimately striking a balance between computational efficiency and accuracy.Results and Discussions　To validate the effectiveness of the FDM-ATSCM method, we conducted experimental comparisons under identical conditions between wall surface temperatures predicted by FDM-ATSCM, actual onsite measurements, and results from EnergyPlus. …”
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Bridging Scales: Coupling the Galactic Nucleus to the Larger Cosmic Environment by Kung-Yi Su, Priyamvada Natarajan, Hyerin Cho, Ramesh Narayan, Philip F. Hopkins, Daniel Anglés-Alcázar, Ben S. Prather

“…Coupling black hole (BH) feeding and feedback involves interactions across vast spatial and temporal scales that are computationally challenging to model. …”
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Increased Phosphorus Losses in the Food System in China and Region‐Specific Mitigation Strategies to Ensure Losses Below Safe Limits by Jichen Zhou, Wim deVries, Lin Ma, Xiaoqiang Jiao, Kai Zhang, Yang Lyu, Zed Rengel, Fusuo Zhang, Jianbo Shen

“…Here, we examined the trends and driving factors of (a) P losses from the food chain in 31 provinces in China over the period 1980–2016 and (b) predicted 2030 losses under different scenarios using the NUFER model and the Geographical Detector model. …”
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Spectral Evolution of Pickup Ions across Interplanetary Shocks in the Outer Heliosphere: Observational Constraints and Transport Simulations by Weining Wang, Jiansen He, Die Duan, Zhongwei Yang, Linghua Wang, Hui Li

“…In this study, we propose a PUI velocity distribution model by incorporating a power-law tail to account for suprathermal ions. …”
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Comprehensive Validation of MODIS-Derived Instantaneous Air Temperature and Daily Minimum Temperature at Nighttime by Wenjie Zhang, Jiarui Zhao, Wenbin Zhu, Yunbo Kong, Bingcheng Wan, Yilan Liao

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A novel framework for analyzing rainy season dynamics in semi-arid environments: a case study in the Peruvian Rio Santa basin by L. Hänchen, E. Potter, C. Klein, P. Calanca, F. Maussion, W. Gurgiser, G. Wohlfahrt

“…Rainy season metrics, which aim to define and, in some cases, predict the onset and end of seasonal rains, can support agricultural planning, such as scheduling planting dates and managing water resources. …”
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A revised and expanded deep radiostratigraphy of the Greenland Ice Sheet from airborne radar sounding surveys between 1993 and 2019 by J. A. MacGregor, M. A. Fahnestock, J. D. Paden, J. Li, J. P. Harbeck, A. Aschwanden

“…This dataset can be used to validate the sensitivity of ice-sheet models to past major climate changes and constrain long-term boundary conditions (e.g., accumulation rate). …”
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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

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White-Matter Connectivity and General Movements in Infants with Perinatal Brain Injury by Ellen N. Sutter, Jose Guerrero-Gonzalez, Cameron P. Casey, Douglas C. Dean, Andrea de Abreu e Gouvea, Colleen Peyton, Ryan M. McAdams, Bernadette T. Gillick

“…Tractography was used to identify the corticospinal tract, a key motor pathway often affected by perinatal brain injury, and tract-based spatial statistics (TBSS) were used to examine broader white matter networks. …”
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Identification and Mechanistic Studies of Key Genes in Thalamic Hemorrhage Pain by Multi-omics by Chen Yang, Ju Gao, Yaqun Li, Yinggang Xiao, Tianfeng Huang

“…Methods: A mouse model of THP was established and mice were divided into THP and control groups. …”
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Cover crop impacts on soil organic matter dynamics and its quantification using UAV and proximal sensing by Nikolaos-Christos Vavlas, Rima Porre, Liang Meng, Ali Elhakeem, Fenny van Egmond, Lammert Kooistra, Gerlinde B. De Deyn

“…Thereto, we used Random Forest (RF), Support Vector Regression (SVR), and Partial Least Squares (PLS) models and found that the best fitting model depended on the type of spectral sensor. …”
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Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system by Junxiao Shen, Luyuan Lu, Zujie Chen, Wei Guo, Shuwen Wang, Ziqiao Liu, Xuke Gong, Yiming Qi, Ruyi Jin, Cheng Zhang

“…In clinical settings, the use of the NEP100 model can greatly improve the diagnostic and prognostic prediction of NEPC. …”
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