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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The Synergy of Renewable Energy and Desalination: An Overview of Current Practices and Future Directions by Levon Gevorkov, José Luis Domínguez-García, Lluis Trilla

“…A comprehensive review of major desalination methods has been conducted, with a particular focus on the application of solar and wind energy. …”
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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>Method</h4>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …”
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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

“…This article extends Bayesian optimization to the optimization of systems in changing environments that include controllable and uncontrollable parameters. …”
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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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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

“…New hydrological insights for the region: The results show that the incorporation of soil moisture significantly improves the ability of both DHSVM and Informer models to simulate extreme flows, compared to traditional methods relying solely on outlet streamflow and rainfall. …”
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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

“…We investigated the clinical utility of emergency CE for detecting the source of ongoing overt OGIB. Methods. We retrospectively evaluated 146 consecutive patients who, between February 2009 and July 2018, underwent emergency CE at Hiroshima University Hospital to detect the source of ongoing overt OGIB. …”
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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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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…To tackle this issue, we introduce "Beyond Orion," a novel lossless compression method designed to optimize data compression in IoT systems. …”
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Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

“…Traditional identification methods necessitate laborious on-site observation and measurement, consuming time and effort. …”
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OPTIMIZATION OF FINANCING PUBLIC HIGHER EDUCATION INSTITUTIONS IN UKRAINE by Z. Varnaliy, O. Krasilnyk

“…The study describes that it is necessary to reform the models, methods and forms of financing higher education institutions. …”
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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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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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Optimization of Effective Parameters on Biohydrogen Production Using Bioaugmentation by Saeed Khesareh, Seyed-Ahmad Ataei

“…The effects of parameters such as pH, temperature, and stirring, the concentration of whey as carbon source and nitrate as nitrogen source on hydrogen production were screened using the Plackett-Burman method with Minitab 21 software. …”
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Optimization of gelatin nanofabrication as a potential biocompatible nanocarrier by Nada A. Hussein, Ghada M. El Zaafarany, Mona M. A. Abdelmottaleb, Gehanne A. S. Awad

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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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Optimized agricultural site selection based on geographic similarity by Z. Qin, Y. Chen, Z. Sha, Z. Sha

“…In this study, we proposed an optimal agricultural site selection method based on the third law of geography and geographic similarity, and took the vegetable moss growing area in Hongshan District, Wuhan, China, as an example. …”
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A Novel Integrated Strategy for Discovering Absorbable Anticoagulant Bioactive Peptides: A Case Study on Leech Protein Hydrolysates by Ke-Xin Fang, Xi Sun, Liang-Ke Chen, Kun Wang, Chao-Jie Yang, Shan-Shan Mei, Chu-Ying Huang, Yao-Jun Yang

“…A novel anticoagulant evaluation model was first established with the Critic-G1 weighting method. And we optimized the enzymatically hydrolyzed extracts with high activity using Box–Behnken response surface methodology. …”
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