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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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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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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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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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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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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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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OPTIMIZATION OF FINANCING PUBLIC HIGHER EDUCATION INSTITUTIONS IN UKRAINE by Z. Varnaliy, O. Krasilnyk

“…The paper considers the ways to optimize financing public higher education institutions of Ukraine. …”
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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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A Model Predictive Control to Improve Grid Resilience by Joseph Young, David G. Wilson, Wayne Weaver, Rush D. Robinett

“…To accomplish this, the following article includes a description of a reduced order model (ROM) of an electric power grid based on a circuit model, an optimization formulation that describes the MPC, a collocation method for solving linear time-dependent differential algebraic equations (DAEs) that result from the ROM, and an overall strategy for iteratively refining the behavior of the MPC. …”
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Efficient recovery of phosphorus from phosphogypsum leachate based on struvite precipitation by MA Jingfeng, WU Xiang, FANG Haoyuan, MEI Ke, JIANG Shan, ZHU Shujing*

“…In this study, a struvite precipitation method was proposed to recover phosphorus sources from phosphogypsum and its leachate to prepare valuable percolate-based struvite crystal (PSL-S). …”
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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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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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Knowledge injection methods in question answering by D. V. Radyush

“…The present work considers knowledge injection methods as a means of providing functional enhancements to large language models by providing necessary facts and patterns from external sources.Methods. …”
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Optical methods for the correction of postkeratoplastic ametropia by M.V. Sinitsyn, A.E. Terent’eva, T.G. Tolmacheva, N.A. Pozdeeva

“…Material and methods. When studying the literature review on PA correction, a search was carried out for sources in the PubMed and Scopus abstract databases for the period up to 2021 inclusive. …”
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Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling by Bo Li, Yaohua Liao, Siyang Liu, Chao Liu, Zhensheng Wu

“…To improve the prediction accuracy, this paper proposes a short-term power load-forecasting model of a regional power grid based on multi-source parameter coupling with a long short-term memory neural network (LSTM) and adopts an improved particle swarm optimization (IPSO) algorithm to optimize the LSTM network. …”
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Tensor nested ring embedding used for domain adaptation of cross-source heterogeneous remote sensing feature tensors by Tong Gao, Min Liu, Wei Hu, Hao Chen

“…Therefore, the Tensor Nested Ring Embedding (TNRE) method is proposed to achieve domain-adapted feature extraction using cross-source heterogeneous remote sensing tensors. …”
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Multi-Source Reinforced Selective Domain Adaptation for Cross-Subject and Cross-Session EEG-Based Emotion Recognition by Xin Deng, Xinyi Hong, LiJiao Ai, Xingchen Li, Chenhui Li

“…The data selector, acting as an actor, performs actions to select high-quality source domain data for optimization of the domain adaptation model. …”
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