Advances in soil salinity diagnosis for mangrove swamp rice production in Guinea Bissau, West Africa by Gabriel Garbanzo, Jesus Céspedes, Marina Temudo, Maria do Rosário Cameira, Paula Paredes, Tiago Ramos

“…The aim of this study is to provide a methodological approach to identify the causes of soil salinity and map the spatial distribution of hypersaline areas, focusing on three case studies in Guinea Bissau. …”
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Experimental study on the influence of shale content in fault zone on fault friction coefficient based on circular shear test by Lingdong Meng, Dong Li, Xiaofei Fu, Yejun Jin, Zezhao Liu, Ziyang Li, Tong Zhang, Ruishan Du, Xiaoling Zhang

“…By integrating a 3D prediction model of clay content on fault surfaces, the spatial distribution of non-uniform friction coefficients across fault planes was determined. …”
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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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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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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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A Framework for High-Spatiotemporal-Resolution Soil Moisture Retrieval in China Using Multi-Source Remote Sensing Data by Zhuangzhuang Feng, Xingming Zheng, Xiaofeng Li, Chunmei Wang, Jinfeng Song, Lei Li, Tianhao Guo, Jia Zheng

“…This indicates that multi-source data can provide complementary information for SM monitoring. (2) Compared to XGBoost and LSTM, RFR and EL demonstrate superior overall performance and are the preferred models for SM prediction. Their R² for the training and test sets exceed 0.969 and 0.743, respectively, and their ubRMSE are below 0.022 and 0.063 m³/m³, respectively. (3) The SM prediction accuracy is highest for the scenario of optical + SAR + auxiliary data, followed by SAR + auxiliary data, and finally optical + auxiliary data. (4) With an increasing Normalized Difference Vegetation Index (NDVI) and SM values, the trained models exhibit a general decrease in prediction performance and accuracy. (5) In 2021 and 2022, without considering cloud cover, the IF theoretically achieved an SM revisit time of 1–3 days across 95.01% and 96.53% of China’s area, respectively. …”
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DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain by Hugo Barbaroux, Michael Loecher, Yannick Brackenier, Karl P. Kunze, Radhouene Neji, Dudley J. Pennell, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young

“…ABSTRACT: Background: Myocardial strain is a valuable biomarker for diagnosing and predicting cardiac conditions, offering additional prognostic information to traditional metrics such as ejection fraction. …”
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Impact of Subjective and Objective Green Space Characteristics on Mental Health Benefits: An Explainable Machine Learning Approach by Ke LI, Yipei MAO, Yongjun LI

“…Based on the SHAP values, the non-linear relationships between them are further clarified.ResultsThrough the analysis of 3 types of mental health benefits and 5 models, the LightGBM model outperforms other algorithms (such as Random Forest and XGBoost) in terms of prediction accuracy (R 2: 0.523 – 0.642), with its robustness in capturing complex feature interactions being verified. …”
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The role of collagen type VI alpha 6 chain as a potential tumor suppressor in breast cancer: an immune regulation perspective by Jian-Di Li, Li-Li Deng, Jia-Yuan Luo, Chao-Hua Mo, Bang-Teng Chi, Wan-Ying Huang, Rong-Quan He, Di-Yuan Qin, Chang Song, Wen Zou, Gang Chen

“…Mouse models, spatial transcriptomic sequencing, and transcriptional regulation analyses were employed to elucidate the intimate relationship between COL6A6 expression and immune cell distribution. …”
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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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Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

“…The oscillatory SSBCS cascade model makes specific predictions for oscillatory band frequencies that can be empirically tested. …”
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Biogeochemical functioning of Lake Alaotra (Madagascar): a reset of aquatic carbon sources along the land–ocean aquatic continuum by V. F. Razanamahandry, A. V. Borges, L. Brosens, C. Morana, T. Razafimbelo, T. Rafolisy, G. Govers, S. Bouillon

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A novel ecological risk assessment method of potentially toxic elements based on soil nematode communities by Xiujuan Yang, Li Cao, Bijun Cheng, Huirong Duan, Zixuan Fu, Xiaofang Xu, Qianying Xiang, Shuhan Wang, Xiaoqing Yan, Zhihong Zhang, Hongmei Zhang

“…Applying general community indices and NBIs, Ridge and RF models can effectively predict the ecological risks of PTEs.…”
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Future projections of Siberian wildfire and aerosol emissions by R. K. Nurrohman, R. K. Nurrohman, T. Kato, H. Ninomiya, L. Végh, N. Delbart, T. Miyauchi, H. Sato, T. Shiraishi, R. Hirata

“…We integrated the widely used SPread and InTensity of FIRE (SPITFIRE) fire module into the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM) to improve the accuracy of fire predictions and then simulated future fire regimes to better understand their impacts. …”
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Disaster-causing mechanism and prevention and control vision orientation of different types of coal seam floor water disasters in China by Yifan ZENG, Huicong ZHU, Qiang WU, Houzhu WANG, Xianjie FU, Tieji WANG, Xirui WANG, Jiulin FAN, Rongjie HU, Xiangjun CAI, Xuedong KAN, Shengbao GAO

“…The water inrush mode of floor karst collapse column induced by dynamic/static load disturbance of overburden roof is proposed, and its mechanical starting conditions and disaster-causing mechanism are clarified. The generalized model of macro-micro geomechanical structure of coal seam floor fault is established. …”
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Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

“…The breakpoints in October and November can be explained by increasing grazing pressure as the herders moved to the winter camps while those occurring in spring are associated with enhanced vegetation growth after herders left for summer camps. (3) From a spatial perspective, the random forest model predicts summer and winter pastures with homogeneous patterns. …”
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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The obtained model can predict approximately 61% of surface pavement changes in the study area. …”
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Neural Network Constraints on the Cosmic-Ray Ionization Rate and Other Physical Conditions in NGC 253 with ALCHEMI Measurements of HCN and HNC by Erica Behrens, Jeffrey G. Mangum, Serena Viti, Jonathan Holdship, Ko-Yun Huang, Mathilde Bouvier, Joshua Butterworth, Cosima Eibensteiner, Nanase Harada, Sergio Martín, Kazushi Sakamoto, Sebastien Muller, Kunihiko Tanaka, Laura Colzi, Christian Henkel, David S. Meier, Víctor M. Rivilla, Paul P. van der Werf, ALMA Comprehensive High-resolution Extragalactic Molecular Inventory (ALCHEMI) collaboration

“…We combine the neural network with radiative transfer modeling to generate modeled integrated intensities, which we compare to measurements of HCN and HNC from the ALMA Large Program ALCHEMI. …”
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Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case by Juan José Martín-Sotoca, Ernesto Sanz, Antonio Saa-Requejo, Rubén Moratiel, Andrés F. Almeida-Ñauñay, Ana M. Tarquis

“…We found other periods of relevant increment in the predictability, such as March and April for Los Vélez, and from July to September for Bajo Aragón.…”
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Triple oxygen isotope composition of CO₂ in the upper troposphere and stratosphere by G. A. Adnew, G. A. Adnew, G. Koren, N. Mehendale, N. Mehendale, S. Gromov, M. Krol, M. Krol, T. Röckmann

“…Moreover, we found no significant spatial or hemispheric differences in <span class="inline-formula">Δ^′17</span>O(CO<span class="inline-formula">₂</span>) for the upper-tropospheric samples collected during the CARIBIC programme. …”
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