Multicenter study correlating molecular characteristics and clinical outcomes of cancer cases with patient-derived organoids by Paloma Navarro, Tatiana P. Grazioso, Arantzazu Barquín, Maria Barba, Mónica Yagüe, Carlos Millán, Irene López, Elena Sevillano, Miguel Quiralte, Paloma Fernández, Diego Losada, Eduardo Caleiras, Julia Calzas, Beatriz Jiménez, Sergio Ruiz-Llorente, Juan Justo, Félix Guerrero, Vital Hevia, Raquel Martín, Francisco José Pérez-Rodriguez, Julia Tejerina, Mario Prieto, Paula Comune, Juan Francisco Rodriguez-Moreno, Jesús García-Donás

“…Abstract Background 3D-spatial interaction between cancer cells influences tumor behavior, making it essential to replicate tumor structures for predicting patient outcomes. …”
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Gut microbiota remodeling exacerbates neuroinflammation and cognitive dysfunction via the microbiota-gut-brain axis in prenatal VPA-exposed C57BL/6 mice offspring by Zhaoming Liu, Zhaoming Liu, Caixia Wu, Caixia Wu, Zhaojian Sun, Zuoxian Lin, Yirong Sun, Nouman Amjad, Muhammad Majid, Rajesh Basnet, Zhiyuan Li, Zhiyuan Li, Zhiyuan Li

“…Gut microbiota profiles were analyzed via 16S rRNA sequencing, with functional pathway predictions using PICRUSt2 and KEGG databases.ResultsVPA-exposed mice exhibited ASD-like behaviors, including social deficits, repetitive stereotypic actions, and impaired spatial memory. …”
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Laboratory heat transport experiments reveal grain-size- and flow-velocity-dependent local thermal non-equilibrium effects by H. Lee, M. Gossler, K. Zosseder, P. Blum, P. Bayer, G. C. Rau

“…Additionally, for larger grain sizes (<span class="inline-formula">≥20</span> <span class="inline-formula">mm</span>), the LTNE model failed to predict the magnitude of LTNE (i.e., temperature difference between fluid and solid phase in time series) for all tested flow velocities due to experimental conditions being inadequately represented by the 1D model with ideal step input. …”
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A multisite validation of brain white matter pathways of resilience to chronic back pain by Mina Mišić, Noah Lee, Francesca Zidda, Kyungjin Sohn, Katrin Usai, Martin Löffler, Md Nasir Uddin, Arsalan Farooqi, Giovanni Schifitto, Zhengwu Zhang, Frauke Nees, Paul Geha, Herta Flor

“…Whole-brain tract-based spatial statistics analyses revealed that a cluster in the right superior longitudinal fasciculus (SLF) tract had larger fractional anisotropy (FA) values in patients who recovered (SBPr) compared to those with persistent pain (SBPp), and predicted changes in pain severity. …”
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Assessing the use of remotely sensed surface water flux to estimate net groundwater storage change in an aquifer predominantly used for irrigation by Cindy Viviers, Michael van der Laan

“…Surface water flux proved a reliable proxy for monitoring and predicting the impact of irrigation on GWS levels during dry seasons. …”
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Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning by Narmilan Amarasingam, Juan Sandino, Ashray Doshi, Diana King, Elka Blackman, Johan Barthelemy, Barbara Bollard, Sharon A. Robinson, Felipe Gonzalez

“…Two DL methods were evaluated to classify and map Usnea spp., Umbilicaria and Pseudephebe species (black lichen), moss and non-vegetation: method (1) standalone DL model fitting, namely fully convolutional network (FCN), U-Net, and Deeplabv3+, with semi-automatic labelling thresholding using VIs; and method (2) ensemble stacking by using eXtreme gradient boosting (XGBoost) as the input model, whose predictions are used as features for training a U-Net model. …”
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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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Multi-omics analyses of the heterogenous immune microenvironment in triple-negative breast cancer implicate UQCRFS1 potentiates tumor progression by Yuhui Tang, Aiqi Xu, Zhongbiao Xu, Jindong Xie, Wei Huang, Liulu Zhang, Yitian Chen, Lu Yang, Shasha Du, Kun Wang

“…Particularly, IL32high Treg imparted an essential effect on tumor evasion and predicted a worsened prognosis of TNBC patients. Furthermore, MCI model enabled to notify the inferior prognosis and immunotherapy resistance in TNBC. …”
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Groundwater–CO₂ emissions relationship in Dutch peatlands derived by machine learning using airborne and ground-based eddy covariance data by L. M. van der Poel, L. V. Bataille, B. Kruijt, W. Franssen, W. Jans, J. Biermann, A. Rietman, A. J. V. Buzacott, Y. van der Velde, R. Boelens, R. W. A. Hutjes

“…Using spatiotemporal data, we train and optimize a boosted regression tree (BRT) machine learning algorithm to predict immediate CO<span class="inline-formula">₂</span> fluxes and use Shapley values and various simulations to interpret the model's outputs. …”
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New insights into Cretaceous hydrocarbon accumulation and its significance for hydrocarbon exploration in Hashan area, northwestern margin of Junggar Basin by Yansheng QU, Ningning ZHONG, Shengzhu WANG, Bin WANG, Hongzhou YU, Jian ZHOU, Qianqian WU, Hongli LU

“…A Cretaceous accumulation model was established and validated through 3D seismic interpretation and drilling data. …”
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A study on the mechanism of Bushen Kaiqiao Formula in modulating microglial activation to alleviate neuroinflammation in ADHD by Jiaqi Zhang, Ruxin Sun, Yu Xiong, Yuting Yang, Jing Wang, Kanglin Zhu, Xinqiang Ni, Min Huang

“…Methods: Ultra-high-performance liquid chromatography coupled with a tandem mass spectrometer (UHPLC-MS/MS) was used to qualitatively analyze the chemical composition of Bushen Kaiqiao Formula, and network pharmacology was applied to predict its potential therapeutic targets and ADHD-related pathways ADHD-like behaviors, including hyperactivity, impulsivity, spatial memory, and attention, were assessed using the Open Field Test, Elevated Plus Maze, and Y-Maze Test at weeks 2 and 4. …”
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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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LegacyVegetation: Northern Hemisphere reconstruction of past plant cover and total tree cover from pollen archives of the last 14&thinsp;kyr by L. Schild, L. Schild, P. Ewald, P. Ewald, C. Li, C. Li, R. Hébert, T. Laepple, T. Laepple, U. Herzschuh, U. Herzschuh, U. Herzschuh

“…<p>With rapid anthropogenic climate change, future vegetation trajectories are uncertain. Climate–vegetation models can be useful for predictions, but they require extensive data on past vegetation for validation and improving systemic understanding. …”
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A dextrorotatory residues-incorporated bioactive dodecapeptide against enterohemorrhagic Escherichia coli by Ping Zeng, Xuemei Yang, Kwok-Yin Wong, Sheng Chen, Kin-Fai Chan, Sharon Shui Yee Leung, Lanhua Yi

“…Its antibacterial mechanisms and application in a real food system are assessed. Methods: Spatial conformation of synthetic peptide zp39 (GIIAGIIiKIKk-NH2, lowercase letters indicate dextrorotatory amino acids) was predicted by PEPstrMOD and its secondary structure was further determined by circular dichroism (CD) spectroscopy. …”
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The Concept of ʺEpidemiological Transitionʺ (Abdel Rahim Omran, 1971) and its Role in Research Regulating Problems of Natural Movement and Quantitative Population Reproduction: Rea... by V. Ruden`, O. Hodor

“…It is an axiom that demographic processes were and are an urgent problem, since, despite the political and socio-economic development, the countries of the world remain in the process of continuous qualitative restoration and change of human generations, which has a direct impact on the state of labor, educational and defense resources and population health in both spatial and temporal certainty. …”
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Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression by Yuanyuan Cui, Yihao Wang, Weimin Yuan, Youhan Zhang, Yunmeng Wang, Jiankun Dai, Jiankun Dai, Yuxin Cheng, Xin Zhang, Hongbiao Sun, Shuwen Dong, Jinlin Wang, Yonghai Bai, Shiyuan Liu, Yi Xiao

“…Two image sets were generated: one with the original DTI (ORI DTI) and one using DLR DTI. Tract-Based Spatial Statistics (TBSS) were used to compare the fractional anisotropy (FA) between DLR DTI and ORI DTI, as well as between patients with mild-to-moderate and those with severe depression. …”
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Multi-Temporal Relative Sea Level Rise Scenarios up to 2150 for the Venice Lagoon (Italy) by Marco Anzidei, Cristiano Tolomei, Daniele Trippanera, Tommaso Alberti, Alessandro Bosman, Carlo Alberto Brunori, Enrico Serpelloni, Antonio Vecchio, Antonio Falciano, Giuliana Deli

“…Although the sea level change in this area has been studied for several years, no detailed flooding scenarios have yet been realized to predict the effects of the expected SLR in the coming decades on the coasts and islands of the lagoon due to global warming. …”
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Fish functional groups of the North Atlantic and Arctic oceans by M. S. A. Thompson, I. Preciado, F. Maioli, F. Maioli, V. Bartolino, A. Belgrano, A. Belgrano, A. Belgrano, M. Casini, M. Casini, P. Cresson, E. Eriksen, G. Hernandez-Milian, I. G. Jónsdóttir, S. Neuenfeldt, J. K. Pinnegar, S. Ragnarsson, S. Schückel, S. Schückel, U. Schückel, B. E. Smith, M. Á. Torres, T. J. Webb, C. P. Lynam

“…In doing<span id="page2448"/> so, we construct individual predator–prey body-mass scaling models to predict the biomass of prey functional groups, e.g. zooplankton, benthos, and fish, for different predator species. …”
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Dynamic monitoring and warning system for unstable rock collapse and its engineering application by Chen CHEN, Mowen XIE, Yan DU, Shuangquan LI, Zhengjun HUANG

“…Rock collapse disasters, characterized by their broad spatial distribution, recurrent occurrence, and abrupt unpredictability, are considered one of the most formidable geological hazards that can be monitored and predicted among the three major geological disasters. …”
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Analysis of the spatiotemporal evolution pattern of the synergistic relationship among high temperature, drought, and CHTDs in climate transition zones by Hui Su, Chunxiao Wu, Shuai Zhou, Xiangxu Song, Jiaqi Tian, Xiaoqing Han, Xiao Zhang, Ting Zhang

“…Study region: The Yellow River Basin (YRB) Study focus: Based on the dry and wet characteristics of the basin, various climate zones are delineated. Subsequently, predictions from the coupled four climate models (CanESM5, CNRM-CM6–1, CNRM-ESM2–1, and IPSL-CM6A-LR) and the statistical downscaling model are used to construct standardized precipitation evapotranspiration indices and standardized temperature indices, which reveal the spatiotemporal evolution characteristics of drought and high temperatures in the watershed under different future scenarios (SSP126, SSP245, SSP585). …”
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