Projection of ENSO using observation-informed deep learning by Yuchao Zhu, Rong-Hua Zhang, Fan Wang, Wenju Cai, Delei Li, Shoude Guan, Yuanlong Li

“…Our results highlight the prospect of integrating machine learning with observations to reduce uncertainty in climate projections.…”
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Leveraging satellite observations and machine learning for underwater sound speed estimation by Madusanka Madiligama, Zheguang Zou, Likun Zhang

“…By analyzing sea surface temperature and salinity from satellite observations, we use machine learning to rapidly and accurately predict 3D underwater sound speed. …”
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DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery by Sebastian Hafner, Sebastian Gerard, Josephine Sullivan, Yifang Ban

Subjects: “…Earth observation…”
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Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest by Shashika Himandi Gardeye Lamahewage, Chandi Witharana, Rachel Riemann, Robert Fahey, Thomas Worthley

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Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework by Taiping Hu, Haichao Huang, Guobing Zhou, Xinyan Wang, Jiaxin Zhu, Zheng Cheng, Fangjia Fu, Xiaoxu Wang, Fuzhi Dai, Kuang Yu, Shenzhen Xu

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Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…To address these shortcomings, this study utilizes a fusion of observed rainfall data and climate change projections to improve the precision of rainfall predictions over daily, 3-day, and weekly intervals. …”
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Combination of Internal Variability and Forced Response Reconciles Observed 2023–2024 Warming by G. Gyuleva, R. Knutti, S. Sippel

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NitroNet – a machine learning model for the prediction of tropospheric NO₂ profiles from TROPOMI observations by L. Kuhn, L. Kuhn, S. Beirle, S. Osipov, S. Osipov, A. Pozzer, T. Wagner, T. Wagner

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Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling by He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Chen Chen, Junyu Wu, Yanjie Song

Subjects: “…Earth observation satellite…”
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Trade-off between cost and performance of earth observation data in olive trees health assessment: Digital crop mapping approach using machine learning algorithms by Yassine Bouslihim, Abdelkrim Bouasria, Aicha Rochdi, El Bachir El Haissen, Dénes Loczy, Zoltan Orban, Ali Salem

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The Impact of Interlingual Equivalence on Vocabulary Development. A Case Study on the Acquisition of Specialised (Technical) Lexis by Maria Cristina MIUȚESCU

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Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China by Zhidong Zhang, Zhihao Dou, Xu Zhang, Di Wang, Kamenjiang Abudoureheman, Yimin Yan, Fenyan Kang, Wei Zhang, Wenbo Meng, Kailiang Zhang, Zhige Li, Jie Zhang, Bin Liu, Baoping Zhang

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Investigating whether socially acquired nocebo effects can spread to other treatments by Cosette Saunders, Winston Tan, Kirsten Barnes, Nicolas McNair, Ben Colagiuri

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A novel ensemble learning algorithm integrating WRF-CMAQ and downscaling models for hourly estimation of regional air pollution along with vegetation exposure risk detection by Peng Zhou, Jieming Chou, Shan Ye, Leiku Yang, Mengting Sun, Pengao Li, Huanpeng Wang, Jie Luo, Zhaoxiang Cao, Qian Yao, Hao Zhang, Hongze Pei

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Orthopedic Trainees’ Perception of the Educational Utility of Patient-Specific 3D-Printed Anatomical Models: A Questionnaire-Based Observational Study by Zhou X, Yi K, Shi Y

“…When strategically integrated into existing curricula, in-house production enables widespread access across training levels with minimal resource constraints.Keywords: 3D printing, orthopedic residency training, patient-specific anatomical models, educational assessment, tactile learning, surgical planning…”
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Experimental Archaeology as Participant Observation: A Perspective from Medieval Food by Scott D. Stull

“…Central to anthropology is the concept of participant observation, where a researcher engages in immersive learning through ethnographic fieldwork. …”
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Preliminary observations of glucose metabolism dysregulation in pediatric Huntington’s disease by Federica Graziola, Federica Rachele Danti, Martina Penzo, Antonio Spagarino, Eleonora Minacapilli, Marco Moscatelli, Federica Zibordi, Caterina Mariotti, Giovanna Zorzi, Giovanna Zorzi

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Using iNaturalist to Contribute Your Nature Observations to Science by Matthew Earl Boone, Mathieu Basille

“…Users can use the iNaturalist ap to plan community projects and bioblitzes and learn more about species identification and biodiversity. …”
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Using iNaturalist to Contribute Your Nature Observations to Science by Matthew Earl Boone, Mathieu Basille

“…Users can use the iNaturalist ap to plan community projects and bioblitzes and learn more about species identification and biodiversity. …”
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How Heritage Learns by Nicholas J Clarke

“… How Heritage Learns explores the dynamics that come into play when public housing becomes valourised as heritage in the Netherlands and how that, in turn modulates the evolution of this protected housing. …”
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