Unveiling pressure-induced anomalous shear behavior and thermoelasticity of α-Fe2O3 hematite at high pressure by Yongtao Zou, Pei Wang, Ying Li, Haiyan Chen, Cangtao Zhou, Tetsuo Irifune

“…Summary: Hematite (α-Fe2O3), as an important end-member of FeO-Fe2O3 series, has garnered particular interest for its peculiar high pressure-temperature (P-T) behavior, structural stability and elasticity, and the unclear role of Fe3+ in the nature and dynamics of the Earth’s mantle. Here, we report a pronounced pressure-induced anomaly in the shear behavior of hematite at room temperature and ∼3.5 GPa owing to the (weak)ferromagnetic-to-antiferromagnetic Morin transition driven by pressure and temperature. …”
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Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm by Mei Hong, Ren Zhang, Dong Wang, Longxia Qian, Zhenghua Hu

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Restoring small water bodies to improve lake and river water quality in China by Wangzheng Shen, Liang Zhang, Emily A. Ury, Sisi Li, Biqing Xia, Nandita B. Basu

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End-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network by Xinhua Wang, Botao Yuan, Haoran Dong, Qiankun Hao, Zhuang Li

“…This detailed information is crucial for applications such as Earth observation and environmental monitoring. In response to the above issues, this paper proposes an end-to-end multi-scale adaptive feature extraction method for remote sensing image dehazing (MSD-Net). …”
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Hazardous geological processes at incomplete construction sites by A. L. Suzdaleva, M. Yu. Slesarev, I. Yu. Yakovleva

“…These processes include any changes in the Earth’s crust that can have a negative impact on the living conditions of the population and cause economic damage.Materials and methods. …”
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Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) by Mohammad Hossein Hajarian, Sara Attarchi, Seyyed Kazem Alavi Panah

“…Synthetic Aperture Radar (SAR) sensors provides unique information from the Earth surface due to their imaging capabilities in all-weather condition. …”
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The magnitude of exercise‐induced progenitor cell mobilisation and extravasation is positively associated with cardiorespiratory fitness by Mark Ross, Sarah Aldred, Mark T. Drayson, Jos A. Bosch, James E. Turner

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The Penha Garcia Ichnological Park at Naturtejo UNESCO Global Geopark (Portugal): a Geotourism Destination in the Footprint of the Great Ordovician Biodiversification Event by Carlos Neto de Carvalho, Andrea Baucon, Aram Bayet-Goll, João Belo

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Development of the Ionospheric E‐Region Prompt Radio Occultation Based Electron Density (E‐PROBED) Model by Cornelius Csar Jude H. Salinas, Dong L. Wu, Nimalan Swarnalingam, Daniel Emmons, Liying Qian

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Assessment of Drought Impact on Vegetation Changes in Hamadan over the Past Three Decades Using the TCI Model by Zahra Hedjazizadeh, Sayyed Mohammad Hosseini, Ali reza karbalaee, shokofe layeghi

“…Drought is a natural hazard that annually causes significant economic, social, environmental, and life-threatening damage in vast areas of the Earth. The damages caused by this phenomenon are intangible but very extensive and costly.  …”
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Topographic and hydrological controls on partial and full surges of Little Kluane Glacier, Yukon by Brittany Main, Luke Copland, Gwenn Elizabeth Flowers, Christine Fiona Dow, Wesley Van Wychen, Sergey Samsonov, William Kochtitzky

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Flood hazard monitoring and modeling systems for improving climate risk management using machine learning and geospatial models in the Hennops River catchment, Centurion, South Afr... by Paidamwoyo Mhangara, Eskinder Gidey, Matilda Mbazo

“…To address these issues, robust models and Earth observation products that can enhance climate-driven impact assessments need to be widely implemented across the continent. …”
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Automatic Multi-Temporal Land Cover Mapping with Medium Spatial Resolution Using the Model Migration Method by Ruijun Chen, Xidong Chen, Yu Ren

“…Accurate land cover mapping plays a critical role in enhancing our understanding of Earth’s energy balance, carbon cycle, and ecosystem dynamics. …”
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Assessing the Effects of a Minor CIR‐HSS Geomagnetic Storm on the Brazilian Low‐Latitude Ionosphere: Ground and Space‐Based Observations by F. S. Chingarandi, C. M. N. Candido, F. Becker‐Guedes, O. F. Jonah, S. P. Moraes‐Santos, V. Klausner, O. O. Taiwo

“…This paper highlights the importance of monitoring and understanding the impact of Sun‐Earth interactions and provides insight into the behavior of the low‐latitude ionosphere during minor geomagnetic storms.…”
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Water temperature, mixing, and ice phenology in the arctic–alpine Lake Darfáljávri (Lake Tarfala), northern Sweden by Nina Kirchner, Jan Weckström, Joachim Jansen, Frederik Schenk, Jamie Barnett, Annika Granebeck, Matti Leppäranta, Atte Korhola

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Evaluating land use ımpact on evapotranspiration in Yellow River Basin China through a novel GSEBAL model: a remote sensing perspective by Sheheryar Khan, Wang Huiliang, Umer Nauman, Muhammad Waseem Boota, Zening Wu

“…This study estimates ET using GSEBAL, an advanced ET estimation algorithm. Google Earth Engine integrates the surface energy balance model-based GSEBAL. …”
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Ecogeographic study of peanut accessions from the VIR collection by V. D. Bemova, M. Sh. Asfandiyarova, T. V. Yakusheva, V. A. Gavrilova, N. V. Kishlyan

“…This study confirmed the possibility of growing peanuts in Astrakhan Province on medium loamy soils under irrigation, or in Krasnodar Territory on black earth without irrigation.…”
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Comparative Accuracies of Models for Drag Prediction During Geomagnetically Disturbed Periods: A First Principles Model Versus Empirical Models by R. L. Walterscheid, M. W. Chen, C.‐C. Chao, S. Gegenheimer, J. Cabrera‐Guzman, J. McVey

“…To evaluate the accuracy of these models we use tracking data for nine space objects in low Earth orbit. Additionally, we evaluate the accuracy of the TIEGCM and NRLMSIS with data from high precision accelerometers on the Challenging Minisatellite Payload (CHAMP) and Gravity field and Circulation Explorer (GOCE) satellites. …”
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The Potential of Deep Learning Object Detection in Citizen-Driven Snail Host Monitoring to Map Putative Disease Transmission Sites by Kin Ho Chan, Julius Tumusiime, Liesbet Jacobs, Tine Huyse

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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

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