Provenance Evolution of the Paleogene Enping Formation in the Northern Pearl River Mouth Basin and Its Influence on the Sedimentary Infilling of Offshore Petroliferous Sags by Shengqian Liu, Youbin He, Zhongxiang Zhao, Ying Chen

“…The analysis reveals a close correspondence between the shifting provenance and the evolution of sedimentary infilling patterns in the PRMB. As a result, the sags transitioned from being under-filled or balanced-filled to being balanced-filled or over-filled. …”
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Hydrological Research Evolution: A Large Language Model‐Based Analysis of 310,000 Studies Published Globally Between 1980 and 2023 by Chiyuan Miao, Jinlong Hu, Hamid Moradkhani, Georgia Destouni

“…Since the 2010s, there has been a noteworthy increase in interest toward basins in China and South Asia, but attention to many regions with frequent extreme rainfall remains insufficient. Geographical patterns show different preferred research topics for different basins, but climate change has emerged as the most prominent topic across all regions in the last decade. …”
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Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets by Amnah Alasqah, Halah Kadhim Tayyeh, Ruqayah Mohammed, Ahmed Mageed Hussein, Khaled Mohamed Khedher, Brahim Benzougagh

“…Although the SDSM model provides a good fit with GCM outputs, the variability in spatial patterns and emission scenarios is reflected in the limited accuracy of some climate indices. …”
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Back to the roots: Uncovering ectomycorrhizal communities across three major African vegetation types by Lowie Tondeleir, Eske De Crop, Tatiana Semenova, Jorinde Nuytinck, André-Ledoux Njouonkou, Atsu Kudzo Guelly, Glen Dierickx, József Geml, Annemieke Verbeken

“…This suggests that local edaphic and climatic conditions can override broad spatial patterns, such as distance decay, in community structure of African EcM. …”
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The influence of jittering DHS cluster locations on geostatistical model-based estimates of malaria risk in Cameroon by Salomon G. Massoda Tonye, Romain Wounang, Celestin Kouambeng, Penelope Vounatsou

“…The various sets of selected environmental factors were able to capture the main spatial patterns of the disease risk, but the jittering increased the prediction error. …”
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Interannual and Seasonal Variability of CO₂ Parameters in the Tropical Atlantic Ocean by Frederic Bonou, A. Nathanael Dossa, Adeola M. Dahunsi, Zacharie Sohou

“…This study employed Empirical Orthogonal Functions (EOFs) to identify variability modes and understand spatial patterns of pCO₂. Freshwater dynamics significantly affect TCO₂ concentrations, particularly in coastal regions, where pH can shift from 8.2 to 7.9, exacerbating acidification. …”
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Future climate projections for South Aegean and Salzburg region based on statistical and dynamical downscaling - similarities and discrepancies by Marianne Bügelmayer-Blaschek, Kristofer Hasel, Darío Redolat, César Paradinas, Robert Monjo

“…The results display that, if observation data is available, temperature is better simulated for the past period using statistical downscaling, while precipitation patterns are more realistically met by the dynamical models. …”
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Investigating the effect of alkali treatment on physicochemical characteristics of bacterial cellulose synthesized by Komagataeibacter saccharivorans BC-G1 by Samriddh Srivastava, Garima Mathur

“…Results revealed that alkali treatment disrupted hydrogen bonding within the cellulose structure, leading to changes in bonding patterns and spatial arrangement. High NaOH concentrations induced a transition from cellulose I to cellulose II, highlighting the importance of alkali concentration in determining BC properties.…”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…The use of InceptionNeXt blocks facilitates multi-scale feature processing, making the model particularly effective for complex and diverse lung nodule patterns. Similarly, including grid attention improves the model’s capacity to identify spatial relationships across different sections of the picture, whereas block attention focuses on capturing hierarchical and contextual information, allowing for precise identification and categorization of lung nodules. …”
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Environmental DNA Documents Ecosystem‐Wide Biodiversity Within the Marine Protected Area Stellwagen Bank National Marine Sanctuary by Jennifer M. Polinski, Emma L. Strand, Timothy P. O'Donnell, Tammy L. Silva, David N. Wiley, Matthew J. Harke

“…However, the inclusion of other sample types revealed patterns in relative sequence abundance that may be indicative of habitat use, particularly for Northern sand lance, a key forage fish. …”
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BiDGCNLLM: A Graph–Language Model for Drone State Forecasting and Separation in Urban Air Mobility Using Digital Twin-Augmented Remote ID Data by Zhang Wen, Junjie Zhao, An Zhang, Wenhao Bi, Boyu Kuang, Yu Su, Ruixin Wang

“…Using Remote ID data, we propose BiDGCNLLM, a hybrid prediction framework that integrates a Bidirectional Graph Convolutional Network (BiGCN) with Dynamic Edge Weighting and a reprogrammed Large Language Model (LLM, Qwen2.5–0.5B) to capture spatial dependencies and temporal patterns in drone speed trajectories. …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…However, traditional ground truthing methods are labor-intensive, time-consuming and restricted in spatial coverage, posing challenges for large-scale or complex landscapes. …”
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Multi-Seasonal Risk Assessment of Hydrogen Leakage, Diffusion, and Explosion in Hydrogen Refueling Station by Yaling Liu, Yao Zeng, Guanxi Zhao, Huarong Hou, Yangfan Song, Bin Ding

“…Through systematic simulations of 72 leakage scenarios (3 equipment types × 4 seasons × 6 leakage directions), the coupled effects of climatic conditions, equipment layout, and leakage direction on hydrogen dispersion patterns and explosion risks were quantitatively analyzed. …”
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Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition by Ogulcan Ozdemir, Inci M. Baytas, Lale Akarun

“…Yet, the fusion process is challenged by changing spatial and temporal dynamics across articulators. …”
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Spatiotemporal analysis of thermal islands in a semi-arid city: A case study of Kermanshah, Iran using machine learning and remote sensing by Peyman Karami, Seyed-Mohsen Mousavi

“…The analysis revealed a 65 % spatial consistency in HI patterns over the decade, highlighting persistent thermal hotspots.The findings underscore the urgent need for sustainable urban planning, prioritizing green infrastructure and resilient design strategies to mitigate HI effects, reduce energy consumption, and improve urban livability. …”
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Partial Order Ranking of the Key Drivers of Grassland Conversion in the Urban–Grassland Interface: A Case Study of the Hohhot–Baotou–Ordos Region by Xuemei Li, Chang An, Batunacun, Yu Feng, Kaixin Liu, Yong Mei

“…However, this process faces methodological challenges because of spatial and temporal variability. Partial order theory offers a robust framework for addressing these complexities. …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…The introduction of the scope loss function strategically manages the trade-off between exploiting known data and exploring new patterns, thereby maintaining a healthy balance between accuracy and generalizability. …”
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UAV-based in situ measurements of CO₂ and CH₄ fluxes over complex natural ecosystems by A. Bolek, M. Heimann, M. Heimann, M. Göckede

“…<p>This study presents an unoccupied aerial vehicle (UAV) platform used to resolve horizontal and vertical patterns of <span class="inline-formula">CO₂</span> and <span class="inline-formula">CH₄</span> mole fractions within the lower part of the atmospheric boundary layer. …”
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Satellite-based analysis uncovers uneven solar PV distribution across Japan and its consumption of forest and agricultural lands by Shoki Shimada, Wataru Takeuchi

“…Through the study, we showed how the established PV dataset can be used to uncover spatial patterns and driving factors of PV deployment. …”
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Multi-Modal Deep Learning for Lung Cancer Detection Using Attention-Based Inception-ResNet by Mohamed Hosny, Ibrahim A. Elgendy, Mousa Ahmad Albashrawi

“…Deep learning (DL) has emerged as a powerful alternative to autonomously identify complex patterns within radiological and histopathological images. …”
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