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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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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Optimization of DC Energy Storage in Tokamak Poloidal Coils by Alessandro Lampasi, Riccardo Testa, Bhavana Gudala, Cristina Terlizzi, Sabino Pipolo, Sandro Tenconi

“…This paper presents innovative strategies to optimize the DC storage in poloidal power supply systems. …”
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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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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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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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Adaptive predator prey algorithm for many objective optimization by Nikunj Mashru, Kanak Kalita, Lenka Čepová, Pinank Patel, Arpita, Pradeep Jangir

“…Engineers and researchers can use MaOMPA as an effective reliable tool to address complex optimization scenarios in engineering design. The MaOMPA source code is available at https://github.com/kanak02/MaOMPA .…”
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A new sliding mode control strategy to improve active power management in a laboratory scale microgrid by Oscar Gonzales-Zurita, Jean-Michel Clairand, Guillermo Escrivá-Escrivá

“…This method ensures global optimum optimization of the SMC-2 control parameters. …”
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IDENTIFYING THE HR EXPECTATIONS – PILLAR FOR OPTIMIZING THE LEADERSHIP STYLE by Elena Mihaela ILIESCU, Florin LUNGU

“…From this perspective, in order to identify the expectations in terms of preferred leadership styles and their impact on team motivation and productivity, along with documentation from open data sources, a case study conducted in a private organization in Romania was applied as a research method. …”
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Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques by Yuehua Huang, Yun Lu, Zhuo Chen, Ziyang Yu, Zhengyu Xiang

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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

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Optimal coordination of zero carbon building energy systems by Guo Wangyi, Xu Zhanbo, Liu Jinhui, Liu Yaping, Wu Jiang, Liu Kun, Guan Xiaohong

“…Optimal scheduling of renewable energy sources and building energy systems serves as a pivotal strategy for achieving zero carbon emission. …”
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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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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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Innovative Technologies in the Monitoring of the Age-Related Cataract by T. N. Kiseleva, M. S. Zaitsev

“…Current high-informative methods of quantitative assessment of the optical density of lens are helpful in determination of indications for surgery, the optimization of phacoemulsification settings and prevention of intraoperative complications. …”
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Measuring two-dimensional heat flux using a plate sensor and infrared thermography by Matthew J. DiDomizio, Parham Dehghani

“…A large flat plate sensor is positioned near a heat source at the location where field heat flux measurements are desired; exemplar plate sensor designs and property data are provided in this work to support method application. …”
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Sustainable groundwater control system for environmental and geotechnical problems in Sabkha soils in arid regions: case study from Abu Dhabi Metropolitan area by Ahmed Sefelnasr, Mohsen Sherif, Zainab Alhosani, Hamad Abduallah, Ahmed Baobaid, Abdel Azim Ebraheem

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