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  1. 6161

    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

    Published 2025-05-01
    “…A Cretaceous accumulation model was established and validated through 3D seismic interpretation and drilling data. …”
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  2. 6162

    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

    Published 2025-09-01
    “…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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  3. 6163

    Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990–2018) by Karl O’Sharkey, Sanjali Mitra, Ting Chow, Seung-a Paik, Laura Thompson, Jason Su, Myles Cockburn, Beate Ritz

    Published 2025-07-01
    “…Air toxics consistently exhibited elevated ASD risks, highlighting persistent vulnerabilities despite reductions in criteria pollutants. Conclusions: Prenatal/early-life exposure to AP, especially traffic-related toxics, is linked to increased ASD risk with temporal and spatial variability. …”
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  4. 6164

    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

    Published 2025-05-01
    “…<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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  5. 6165

    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

    Published 2023-06-01
    “…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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  6. 6166
  7. 6167

    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

    Published 2025-06-01
    “…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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  8. 6168

    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

    Published 2025-02-01
    “…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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  9. 6169

    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

    Published 2025-06-01
    “…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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  10. 6170
  11. 6171

    The Lived Experience of Women Regarding Family-Centric Roles in the Southern Neighbourhoods of Tehran by Fatemeh Farhadi babadi, Mehrdad Navabakhsh, Talieh Khademian

    Published 2024-11-01
    “…Journal of Woman and Society, 7(Spatial), 55-68. (In Persian) Segalen, M. (1991). …”
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  12. 6172

    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

    Published 2024-12-01
    “…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 R<sup>2</sup> for the training and test sets exceed 0.969 and 0.743, respectively, and their ubRMSE are below 0.022 and 0.063 m<sup>3</sup>/m<sup>3</sup>, 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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  13. 6173
  14. 6174

    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

    Published 2025-01-01
    “…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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  15. 6175

    Analysis of the Causes of Urban Sprawl in Iran by keramatollah Ziari, Saeed Zanganeh Shahraki, Negin Rajabzadeh, Mohsen Abbas Nejad Jelogir

    Published 2024-12-01
    “…Experts suggest that urban sprawl in the United States and Western Europe can be understood through 3 historical stages: 1) urban sprawl under the Keynesian-Fordist model of urbanization (1945-1975), 2) the period of urban reconstruction and intensive city redevelopment (1975-1985), and 3) the emergence of a neoliberal and globalized urban model (from 1985 onward) (Bueno-Suárez et al., 2020, pp. 5-9). …”
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  16. 6176

    Impact of Subjective and Objective Green Space Characteristics on Mental Health Benefits: An Explainable Machine Learning Approach by Ke LI, Yipei MAO, Yongjun LI

    Published 2025-07-01
    “…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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  17. 6177

    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

    Published 2025-08-01
    “…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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  18. 6178

    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

    Published 2025-06-01
    “…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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  19. 6179

    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

    Published 2025-02-01
    “…The oscillatory SSBCS cascade model makes specific predictions for oscillatory band frequencies that can be empirically tested. …”
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  20. 6180