Enhancing Satellite Image Coregistration Using Mirror Array as Artificial Point Source for Multisource Image Harmonization by Muhammad Daniel Iman bin Hussain, Vaibhav Katiyar, Masahiko Nagai, Dorj Ichikawa

“…This article presents an advanced method for satellite image coregistration using mirror arrays as artificial point sources, developed at the Center for Research and Application of Satellite Remote Sensing of Yamaguchi University (YUCARS), Ube, Japan. …”
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Componential modeling of argumentative essay writing from multiple online sources: a Bayesian network approach by Anisha Singh, Yuting Sun, Patricia A. Alexander, Hongyang Zhao

“…Further, we found that the process of argumentation falters due to students' inability to frame counterarguments and their non-optimal critical analysis.DiscussionThis research not only enriches our understanding of the mechanics of argumentative writing from multiple sources, but the innovative Bayesian approach could lead to further refinement of the model by future researchers.…”
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Jitter Error Correction for the HaiYang-3A Satellite Based on Multi-Source Attitude Fusion by Yanli Wang, Ronghao Zhang, Yizhang Xu, Xiangyu Zhang, Rongfan Dai, Shuying Jin

“…To achieve near real-time compensation, a novel jitter error estimation and correction method based on multi-source attitude data fusion is proposed in this paper. …”
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Effect of source-sink misalignment and sink cavity aspect ratio on the thermal performance of gallium heat sinks by Salah Addin Burhan Al-Omari, Mohammad Qasem, Zahid Ahmed Qureshi, Emad Elnajjar

“…We used gallium, a metallic PCM with high thermal conductivity and a low melting point to improve heat dissipation by leveraging buoyancy-driven circulations within the molten gallium. We adopted a method to position the sink base on top of the heat source surface in such a way to augment temperature gradients within the liquid to induce imbalances in gallium density and consequent internal circulations. …”
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Control Strategy of a Multi-Source System Based on Batteries, Wind Turbines, and Electrolyzers for Hydrogen Production by Ibrahima Touré, Alireza Payman, Mamadou Baïlo Camara, Brayima Dakyo

“…However, integrating intermittent renewable energy sources with optimal microgrid management poses significant challenges. …”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…Subsequently, Spearman correlation analysis was utilized to select the combination of canopy coverage and environmental data, followed by the random forest feature importance ranking method to identify the most optimal feature variables. …”
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Localization Accuracy Improvement of a Visible Light Positioning System Based on the Linear Illumination of LED Sources by Nan Wu, Lihui Feng, Aiying Yang

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Animal-Source food consumption and its contribution to iron adequacy among women reproductive age in Indonesia by Amalia Adha As Syaffa, Briawan Dodik, Sukandar Dadang

“…Background: Reproductive age is a crucial period which related to the optimal nutritional status of children in the future. …”
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Investigation of the chemical composition of cell cultures of DIOSCOREA CAUCASICA in connection with the production of BAS sources with cardioprotective potential by A. I. Loseva, V. I. Minina, A. V. Pozdnyakova, E. V. Ostapova

“…The research objective was to select the optimal BAS extraction parameters. The study featured in vitro cell cultures, grown according to standard methods, and extracts, obtained from these cultures using various organic solvents and extraction parameters, i.e. temperature, the ratio of raw material vs. extractant, time, etc. …”
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Optical Transmission in Single-Layer Brain Tissues under Different Optical Source Types: Modelling and Simulation by Xi Yang, Chengpeng Chai, Yun-Hsuan Chen, Mohamad Sawan

“…To better understand the influence of different optical source types on individual brain tissues, we constructed single-layer brain models and simulated optical propagation using the Monte Carlo method. …”
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Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs by Tomomi Sugiyama, Yusuke Kakei, Yasunaga Iwasaki, Atsushi Oda, Masahide Isozaki

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Memory Monitoring Recognition Test (MMRT), a new measurement of stimular source monitoring: Software and comprehension. by Pedro C Martínez-Suárez, José Alejandro Valdevila Figueira, Joselyn M Luna-Cambi, Carlos E Guerrero-Granda, Rocío Valdevila Santiesteban

“…<h4>Background</h4>Reality monitoring allows the evaluation and monitoring of reality through the assignment of information to internal or external sources, which is crucial to differentiate real events from imaginary ones. …”
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Selection of Landing Sites for the Chang’E-7 Mission Using Multi-Source Remote Sensing Data by Fei Zhao, Pingping Lu, Tingyu Meng, Yanan Dang, Yao Gao, Zihan Xu, Robert Wang, Yirong Wu

“…This study presents a method for landing site selection in the challenging environment of the lunar south pole, utilizing multi-source remote sensing data. …”
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Variation in seed germination and early seedling development of Zostera marina across source populations and environmental conditions by Fei Zhang, Hyegwang Kim, Zhaxi Suonan, Seung Hyeon Kim, Hae-Sik Jeong, Kun-Seop Lee

“…This study offers valuable information for Z. marina restoration efforts using the seed-based method, particularly concerning seed source selection and climate change-driven environmental shifts.…”
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Cooling Rate Measurement and System Optimization for Cryotop Device by Li Weijie, Zhou Xinli, Dai Jianjun, Zhang Defu, Liu Baolin, Wang Haisong

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A study on the timing of small-bowel capsule endoscopy and its impact on the detection rate of bleeding sources by Daisuke Kametaka, Masaya Iwamuro, Toshihiro Inokuchi, Seiji Kawano, Sakiko Hiraoka, Motoyuki Otsuka

“…Abstract Background Small-bowel capsule endoscopy (SBCE) is an essential diagnostic tool for obscure gastrointestinal bleeding, particularly for identifying bleeding sources in the small intestine. The timing of SBCE is thought to affect its diagnostic yield; however, the optimal timing remains unknown. …”
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Improvement of physics-based and data-driven model simulations based on multi-source soil moisture datasets by Xiao Liang, Haiting Gu, Yue-Ping Xu, Lu Wang, Yuxue Guo, Li Liu

“…This study integrates multi-source soil moisture datasets into both a process-based model and a data-driven model to explore the potential benefits of calibration and streamflow simulation within a mesoscale watershed in eastern China. …”
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Clinical Utility of Emergency Capsule Endoscopy for Diagnosing the Source and Nature of Ongoing Overt Obscure Gastrointestinal Bleeding by Sumio Iio, Shiro Oka, Shinji Tanaka, Akiyoshi Tsuboi, Ichiro Otani, Sayoko Kunihara, Kazuaki Chayama

“…In patients with ongoing overt obscure gastrointestinal bleeding (OGIB), prompt detection of the bleeding source is crucial to treatment success. However, there is no consensus on the optimal timing of diagnostic capsule endoscopy (CE). …”
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Dietary Intake of Protein by Food Source and Incident Hypertension Among Diverse US Adults: The MESA Study by Ji Yun Tark, Ruosha Li, Bing Yu, Alexis C. Wood, Nikhil S. Padhye, Marcia C. de Oliveira Otto

“…Background Dietary guidelines recommend adequate protein intake from diverse sources for optimal blood pressure; however, its role in hypertension risk remains unclear. …”
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Construction and application of a drought classification model for tea plantations based on multi-source remote sensing by Yang Xu, Yilin Mao, He Li, Xiaojiang Li, Litao Sun, Kai Fan, Zhipeng Li, Shuting Gong, Zhaotang Ding, Yu Wang

“…While unmanned aerial vehicle (UAV) remote sensing offers efficient alternatives, existing studies predominantly rely on single-sensor data (e.g., multispectral (MS) or thermal infrared (TIR)), overlooking the potential of multi-source fusion—especially for tea plantations. To address this gap, we propose RSDCM (Remote Sensing-based Drought Classification Model), an improved Genetic Algorithm-Backpropagation (GA-BP) combined with MS + TIR framework that optimizes initial weights and thresholds via GA's global search (hidden layer=1, neurons in the hidden layers=5, 50 generations, population size=5, NonUnifMutation operators) to escape local minima and accelerate convergence. …”
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