Study on the improvement of cognitive deficits in APP/PS1 mice by danggui shaoyao san and its disassembled prescriptions through modulation of the gut microbiota by Xingduo Liu, Chaoqun Sun, Yuqiong Dai, Feifei Duan, Tianzhen He, Menglu Zhen, Enxi Liang, Shuting Zhang, Yun Xia, Nianchun Hu, Ruoting Zhan, Ruoting Zhan, Dong Deng, Sijun Liu

“…Beta diversity revealed structural divergence between treatment and model groups. Functional predictions highlighted enriched pathways (D-glutamine metabolism, bile acid biosynthesis) and suppressed antibiotic biosynthesis.ConclusionDanggui Shaoyao San and its disassembled prescriptions ameliorate AD-related cognitive impairment and gut dysbiosis, enhance microbial diversity, and modulate metabolic pathways, supporting their therapeutic potential via gut-brain axis regulation. …”
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Research Progress and Prospects of Urban-Rural Integration Based on Scientific Knowledge Map by Gong Weixia, Ma Shujiao

“…This study proposes the following recommendations: (1) Strengthen multi-disciplinary, multi-dimensional, and multi-scale research: this includes enhancing interdisciplinary collaboration, innovating theories and methods, and building multilevel research systems to explore the spatial and temporal evolution of urban-rural integration across different scales; (2) Deepen research on the coupling and coordination between new types of urbanization and comprehensive rural revitalization: this involves exploring coordination mechanisms, refining the flow of key elements, discovering new models of urban-rural industrial integration, and promoting cultural exchange and integration; (3) Strengthen regional coordination research; expanding research fields, summarizing integration models from different regions, enhancing regional coordination and joint development, and building multiscale regional coordination mechanisms are essential; and (4) Advanced technological innovation and data-driven research: this includes using cutting-edge technologies to reveal trends in urban-rural integration, scientifically predicting urbanization processes, and driving industrial synergy and transformation.…”
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SOC: clay ratio: A mechanistically-sound, universal soil health indicator across ecological zones and land use categories? by Walter W. Wenzel, Alireza Golestanifard, Olivier Duboc

“…The regression equation can be used to predict the SOC levels expected for the average management regime of the region at any given values of the relevant main soil and climate drivers. …”
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Scientific geovisualization of the dynamics of Sargassum dispersion and landfall in the Caribbean, based on satellite imagery and numerical forecasts. by Francisco Javier Osorno-Covarrubias, Jorge Prado Molina, Gabriela Gómez-Rodríguez, Uriel Mendoza, Stéphane Couturier

“…For statistical purposes, rafts that land or drift outside the simulation range are logged with details of location, date, and time. 4) Animation Generation: Four animations are produced to visualize: a) Rafts movement, b) Rafts trajectories, c) The dynamics of surface forcings (currents, tides, and waves), and d) The dynamics of above-surface factors (i.e. wind drag, modeled as a percentage of wind speed). 5) Interactive 3D Visualization: All elements are integrated into an interactive globe featuring 3D bathymetry, allowing users to explore sargassum dispersion and landfall predictions (or hindcasts) for specific satellite observation dates. …”
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Spatiotemporal evolution of surface water quality and driving factors across varying levels of human interference in a major subbasin of the Yellow River Basin, China by Longmei Xie, Ruizhong Gao, Xixi Wang, Limin Duan, Lijing Fang, Hui Tong, Chang Yue, Tingxi Liu

“…Study focus: This study examines surface water quality dynamics in the Dahei River Basin, a key aspect of sustainable water management. Predicting spatiotemporal variations and driving factors remains challenging. …”
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Relationship Between Landscape Character and Public Preferences in Urban Landscapes: A Case Study from the East–West Mountain Region in Wuhan, China by Xingyuan Li, Wenqing Pang, Lizhi Han, Yufan Yan, Xianjie Pan, Diechuan Yang

“…The results show that (1) public preferences hotspots are concentrated in three types: (a) urban construction-driven types, including areas dominated by commercial service functions and those characterized by mixed-function residential areas; (b) natural terrain-dominated types with well-developed supporting facilities; and (c) hybrid transition types predominated by educational and scientific research land uses. These areas generally feature a high degree of functional diversity and good transportation accessibility. (2) Landscapes eliciting stronger emotional responses integrate moderate slopes, multifunctional spaces, and robust public services, whereas areas with weaker responses are characterized by single-function use or excessive urbanization. (3) The emotional variations within categories could be influenced by (a) functional hybridity through enhanced environmental exploration; (b) spatial usage frequency through place attachment formation; and (c) visual harmony through cognitive overload prevention. …”
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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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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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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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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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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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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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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…Experiments show 2.19% and 4.08% MSE reductions, 5.40% and 3.28% SSIM improvements, 29.85% and 3.82% NCC increases for cross-modality and mono-modality registration, respectively, along with a 36.7% training speedup over state-of-the-art translation-based registration models. …”
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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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Typology of the "Internal Form-Structure" Drawing upon Argan\'s Formal Approach (Case Study: Historical Bridge-Caravanserai in Iran) by Paryia Pourmohammadi, Farshad Mafakher, Asghar Saed Samiei, Mehrdad Matin

“…Being the most prevailing type, the first one includes spatial components (rooms) at the columns of the bridge, categorized in two groups based on the number of levels (one- and two-story). …”
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