Urban morphology impacts on urban microclimate using artificial intelligence – a review by Ahmed Marey, Jiwei Zou, Sherif Goubran, Liangzhu Leon Wang, Abhishek Gaur

“…By synthesizing 111 studies over the last decade utilizing urban morphology and AI models to predict urban microclimate, this review aims to bridge these gaps and highlight AI’s unique potential to contribute to the field. …”
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Immune landscape and TAM density in endometrial cancer: implications for immune checkpoint inhibitors efficacy by Olivia Le Saux, Renaud Sabatier, Isabelle Treilleux, Léa-Isabelle Renaud, Pierre-Emmanuel Brachet, Alejandra Martinez, Jean-Sébastien Frenel, Cyril Abdeddaim, Justine Berthet, Sarah Barrin, Amélie Colombe-Vermorel, Laetitia Odeyer, Alexandra Lainé, Christophe Caux, Bertrand Dubois, Isabelle Ray-Coquard

“…Using a multivariate logistic regression model, we found that a low density of CD68 + tumor-associated macrophages (TAMs) in the stroma, was associated with response to ICI in EC (odds ratio = 11.67, 95% CI (1.69–237.45), p  = 0.033) and showed good accuracy in predicting response to ICI in the whole cohort (AUC = 0.75, 95% CI (0.59–0.91)). …”
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New insights into the role of mitophagy related gene affecting the metastasis of osteosarcoma through scRNA-seq and CRISPR-Cas9 genome editing by Sikuan Zheng, Mengliang Luo, Hong Huang, Xuanxuan Huang, Zhidong Peng, Shaowei Zheng, Jianye Tan

“…Results The distinct mitophagy activity of various mitochondria manifests in diverse spatial localization, cellular developmental trajectories, and intercellular interactions. …”
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Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview by Imran Ul Haq, Mustafa Mhamed, Mohammed Al-Harbi, Hamid Osman, Zuhal Y. Hamd, Zhe Liu

“…This review may help clinicians and researchers comprehend the spatial distribution of the field, outline the current level of advancement, and identify areas of research that need to be explored regarding MMML in radiology.…”
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Effects of Land Use and Land Cover Change on Soil Organic Carbon Stock in Jira Watershed, Mid-Lands of Northern Ethiopia. by Guesh Assefa, Gebeyehu Taye, Kassa Teka

“…The highest SOC was gained due to the conversion of grazing land in to forest land (2007-2017) which has offered a total of 635.53 ton of SOC. A model was created to predict SOC of similar environments by using the observed SOC and NDVI values of the 2017 LULC types. …”
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Analysis on the Spatiotemporal Characteristics of the Postearthquake Reconstruction Efficiency of the Extremely Earthquake-Stricken Areas by the Wenchuan Earthquake Based on the DE... by Pin Lv, Bin Liu, Mingkang Yuan, Suyue Han, Di Zhang, Lv Zhang

“…In 2011, the reconstruction efficiency basically returned the areas to preearthquake levels, and there was a small fluctuation in efficiency due to the effects of earthquake-induced hazards and the reduction of external forces. Spatially, the reconstruction efficiencies of the 10 extremely stricken areas do not show a “convergence effect,” and the reconstruction efficiencies were closely related to the characteristics of the resources in the extremely stricken areas. …”
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Quantitative 3D reconstruction of viral vector distribution in rodent and ovine brain following local delivery by Roberta Poceviciute, Kenneth Mitchell, Angeliki Maria Nikolakopoulou, Suehyun K. Cho, Xiaobo Ma, Phillip Chen, Samantha Figueroa, Ethan J. Sarmiento, Aryan Singh, Oren Hartstein, William G. Loudon, Florent Cros, Alexander S. Kiselyov

“…This pipeline, which combined existing and newly developed machine-learning and other computational tools, effectively removed false positive artifacts abundant in large-scale images of uncleared tissue sections, and subsampling adequately predicted the dispersion of model viral vectors from the point of local drug delivery. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…Notably, the majority of significant sources were not continuously active; however, when these sources switched “ON,” the spatial variability of AF cycle lengths in the respective atrium decreased by more than 50%, suggesting an entraining effect.ConclusionsBy systematically optimizing the EGF Model's hyperparameters based on clinical outcomes, we reliably detect and target key AF sources that, when ablated, improve procedural success. …”
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PLIN2 promotes colorectal cancer progression through CD36-mediated epithelial-mesenchymal transition by Fan Yang, Ying Li, Xue Shang, Yun Zhu, Wenting Hou, Yi Liu, Qing Hua, Zhirong Sun

“…The challenge remains to construct reliable prognostic prediction models and to further elucidate the key molecular mechanisms of tumor progression. …”
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Ecosystem services thresholds and interconnected feedback loops in the vulnerable Tarim River Basin: Confronting climate and vegetation transformations by Chun Luo, Xiaofei Ma, Yonghui Wang, Wei Yan, Yonglong Han, Wei Yu, Binbin Fan

“…Ecological thresholds play a key role in understanding ecosystem stability and vulnerability, and in predicting the impacts of future environmental changes. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. …”
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Patterns and drivers of water-land resources nexus in arid inland river basins of northwestern China by Lingge Wang, Wei Liu, Qi Feng, Zhenliang Yin, Rui Zhu, Meng Zhu, Jutao Zhang, Yuanyuan Xue, Zexia Chen, Xuejiao Li

“…In this study, we evaluated and predicted water and land resource dynamics by combining the soil quality index function with MCE-CA-Markov and SWAT models. …”
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Design and Development of a Side Spray Device for UAVs to Improve Spray Coverage in Obstacle Neighborhoods by Fanrui Kong, Baijing Qiu, Xiaoya Dong, Kechuan Yi, Qingqing Wang, Chunxia Jiang, Xinwei Zhang, Xin Huang

“…The error between the predicted values of the relational model and the field experiment results was less than 15%. …”
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Chondroitin Sulfate as a Lysosomal Enhancer Attenuates Lipid-Driven Inflammation via Lipophagy and Mitophagy by Ting Sun, Huimin Lv, Huarong Shao, Xiuhua Zhang, Anqi Wang, Wei Zhang, Fei Liu, Peixue Ling

“…By employing subcellular imaging and organelle-specific labeling techniques, we demonstrate that CS restores lysosomal acidification in a NASH model, enabling the reduction of lipid droplets via lysosomal–lipid droplet fusion. …”
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Analysis of the Role of Key Actors (Public and Private) in the Regeneration of Urban Neighborhoods (Case Study: Sarab Neighborhood of Mashhad) by Zohreh Fanni, Nasim Niknami, Sajad Saeedi

“…To identify and formulate regeneration strategies for urban neighborhoods, the SWOT model was used. To rank the output strategies of the model, the QSPM model was used in the framework of internal and external position evaluation. …”
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Attention-based generative adversarial networks for aquaponics environment time series data imputation by Keyang Zhong, Xueqian Sun, Gedi Liu, Yifeng Jiang, Yi Ouyang, Yang Wang

“…In the downstream experiments, we used ATTN-GAN and baseline models for data imputation, and predicted the imputed data, respectively. …”
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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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Monitoring and Mapping a Decade of Regenerative Agricultural Practices Across the Contiguous United States by Matthew O. Jones, Gleyce Figueiredo, Stephanie Howson, Ana Toro, Soren Rundquist, Gregory Garner, Facundo Della Nave, Grace Delgado, Zhuang-Fang Yi, Priscilla Ahn, Samuel Jonathan Barrett, Marie Bader, Derek Rollend, Thaïs Bendixen, Jeff Albrecht, Kangogo Sogomo, Zam Zam Musse, John Shriver

“…Monitor incorporates three datasets: CropID, a deep learning transformer model using Sentinel-2 and USDA Cropland Data Layer (CDL) data from 2018 to 2023 to predict annual crop types; the living root data, which use Normalized Difference Vegetation Index (NDVI) data to determine cover crop presence through regional parameterization; and residue cover (RC) data, which uses the Normalized Difference Tillage Index (NDTI) and crop residue cover (CRC) index to assess tillage intensity. …”
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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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