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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LegacyVegetation: Northern Hemisphere reconstruction of past plant cover and total tree cover from pollen archives of the last 14 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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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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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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Mapping clay fraction oxides in Brazil using Earth observation strategy by Jorge Tadeu Fim Rosas, José A.M. Demattê, Nícolas Augusto Rosin, Raul Roberto Poppiel, Nélida E.Q. Silvero, Merilyn Taynara Accorsi Amorim, Heidy S. Rodríguez-Albarracín, Letícia Guadagnin Vogel, Bruno dos Anjos Bartsch, José João Lelis Leal de Souza, Lucas de Carvalho Gomes, Danilo César de Mello

“…Moreover, this satellite-based technique, supported by ML, presents a plausible approach to predict oxide fraction at high spatial resolution for large areas.…”
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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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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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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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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…In addition, the ConvMixer layer is integrated into the prediction head; the depthwise and pointwise convolutions in ConvMixer capture the spatial and channel relationships in the feature information, improving the processing capability for small targets. …”
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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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Mortality Projections, Regional Disparities in the Burden of Neonatal Disorders, and the Status of Achieving SDG Targets by 2030 in South Asia: Insights from the Global Burden of D... by Manya Soni, Mahalaqua Nazli Khatib, Ashok Kumar Balaraman, Rangaswamy Roopashree, Mandeep Kaur, Manish Srivastava, Amit Barwal, G. V. Siva Prasad, Pranchal Rajput, Rukshar Syed, Gajendra Sharma, Sunil Kumar, Ganesh Bushi, Nagavalli Chilakam, Sakshi Pandey, Manvinder Brar, Rachana Mehta, Sanjit Sah, Muhammed Shabil, Abhay M. Gaidhane, Mahendra Singh

“…Spatial maps depicting the age-standardized prevalence rate and age-standardized mortality rate for neonatal disorders in South Asia were generated using QGIS software. …”
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