Production and yield response factor of sunflower under different irrigation depths by Benito M. de Azevedo, Denise V. Vasconcelos, Guilherme V. do Bomfim, Thales V. de A. Viana, Joaquim R. do Nascimento Neto, Kárcia M. A. S. de Oliveira

“…ABSTRACT Local information about irrigation depths for sunflower can be used in the design of projects and irrigation management to increase crop yield and to reduce costs. This study aimed to evaluate the effects of irrigation depths on sunflower and calculate its yield response factor. …”
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Application of Response Surface Methodology and Central Composite Inscribed Design for Modeling and Optimization of Marble Surface Quality by Sümeyra Cevheroğlu Çıra, Ahmet Dağ, Askeri Karakuş

“…Clarifying these factors for optimization of multivariate polishing process by trial and error method is difficult, time-consuming, and costly task. In this study, the empirical practices were carried out using an experimental design, specifically, a central composite inscribed (CCI) design. …”
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A Distributed Economic Power Dispatch Strategy Considering State of Charge for Microgrids by Kaicheng Lu, Shufeng Dong, Yonghua Song

“…Numerical experiments demonstrate that the proposed strategy can achieve SoC balance and have lower costs than traditional distributed economic power sharing strategy.…”
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Informed Neural Networks for Flood Forecasting With Limited Amount of Training Data by K. Komiya, H. Kiyotake, R. Nakada, M. Fujishima, K. Mori

“…Traditional methods often require extensive data and frequent updates, making them costly and challenging to maintain. INNs address these challenges by enabling accurate predictions under limited data conditions. …”
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Model of metabolism and gene expression predicts proteome allocation in Pseudomonas putida by Juan D. Tibocha-Bonilla, Vishant Gandhi, Chloe Lieng, Oriane Moyne, Rodrigo Santibáñez-Palominos, Karsten Zengler

“…Abstract The genome-scale model of metabolism and gene expression (ME-model) for Pseudomonas putida KT2440, iPpu1676-ME, provides a comprehensive representation of biosynthetic costs and proteome allocation. Compared to a metabolic-only model, iPpu1676-ME significantly expands on gene expression, macromolecular assembly, and cofactor utilization, enabling accurate growth predictions without additional constraints. …”
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ASSESSING THE NEED AND CONSEQUENCES OF TERRITORIAL TRANSFORMATION OF RURAL SETTLEMENTS FROM THE PERSPECTIVE OF PROVIDING MUNICIPAL SERVICES by A. G. Ataeva, G. V. Zinnurova

“…It has been determined that the unification of rural settlements can to some extent solve the problem of reducing administrative costs and increasing the financing of other issues of local importance. …”
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A Method for Selecting the Appropriate Source Domain Buildings for Building Energy Prediction in Transfer Learning: Using the Euclidean Distance and Pearson Coefficient by Chuyi Luo, Liang Xia, Sung-Hugh Hong

“…The results showed the source building, selected via the method proposed by this research, could reduce 65% of computational costs, while the RMSE was approximately 6.5 kWh, and the R² was around 0.92. …”
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Semi-Automated Processing of Harmonized Accelerometer and GPS Data in R: <i>AGPSR</i> by Nathan Tintle, Jieqi Tu, Anna Luong, Shina Min, Kiarri N. Kershaw, Ulf G. Bronas

“…Other approaches are costly due to proprietary software, personnel time, and being prone to human errors. …”
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Contrastive learning for one-shot building shape recognition using vector polygon transformers by Longfei Cui, Haizhong Qian, Junkui Xu, Chao Li, Xinyu Niu

“…The adoption of this methodology reduces costs associated with manual operations and enhances the overall process of building recognition and classification.…”
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An Improved Integral Response Deformation Method for Seismic Response Analysis of Underground Structures Considering Far-Field Effects by Xin Bao, Shiwei Wang, Boyang Zhu, Dongyang Wang

“…In the seismic analysis of underground structures, the traditional integral response displacement method may misestimate far-field constraint effects because of the empirical placement of cutoff boundaries, leading to inaccuracies and a significant increase in computational costs. This study proposes a cutoff boundary distance criterion of three times the structural size, effectively eliminating boundary reflection errors. …”
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Rapid determination of chlorine in fertilizers by pressed pellet-wavelength dispersive X-ray fluorescence spectrometry by Ze Yao, Xuyao Yao, Xing Tang, Jun Peng, Bin Deng, Zhao Liu, Lianwu Xie

“…Traditional methods such as chemical titration and ion chromatography have limitations including complex sample preparation, time consumption, and high costs. This study proposes a rapid determination method using pressed pellet-wavelength dispersive X-ray fluorescence spectrometry (WDXRF). …”
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Sucrose-driven carbon redox rebalancing eliminates the Crabtree effect and boosts energy metabolism in yeast by Zhiqiang Xiao, Yifei Zhao, Yongtong Wang, Xinjia Tan, Lian Wang, Jiwei Mao, Siqi Zhang, Qiyuan Lu, Fanglin Hu, Shasha Zuo, Juan Liu, Yang Shan

“…However, the manifestation of the Crabtree effect results in substantial carbon loss and energy inefficiency, which significantly diminishes product yield and escalates substrate costs in microbial cell factories. To address this challenge, we introduce the sucrose phosphorolysis pathway and delete the phosphoglucose isomerase gene PGI1, effectively decoupling glycolysis from respiration and facilitating the metabolic transition of yeast to a Crabtree-negative state. …”
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Personality characteristics of security police male employees with «pre-disease» somatic health disorders by V. V. Bocharov, K. S. Denisova

“…Despite the formal absence in the sample of the burnout symptoms, significant differences between the groups appear in the trends to a sense of helplessness, professional or self- disappointment, reduce of emotionally costly duties, personal detachment of employees with «pre-disease» health problems. …”
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Genetic Counseling in Renal Masses by José Antonio López-Guerrero, Zaida García-Casado, Antonio Fernández-Serra, José Rubio-Briones

“…Use of molecular genetic testing for early identification of at-risk family members improves diagnostic certainty and would reduce costly screening procedures in at-risk members who have not inherited disease-causing mutations. …”
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LLM based expert AI agent for mission operation management by Sobhana Mummaneni, Syama Sameera Gudipati, Satwik Panda

“…AI offers opportunities to reduce mission costs, improve success rates, and enhance the efficiency of space exploration programs. …”
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A Big-Data-Driven Framework for Parking Demand Estimation in Urban Central Districts by Yunlin Guan, Yun Wang, Xuedong Yan, Haonan Guo, Yu Zhou

“…Most previous published studies were based primarily on parking survey data, which is both costly and inaccurate. Owing to limited data sources and simplified models, most of the previous research estimates the parking demand without consideration for the relationship between parking demand, land use, and traffic attributes, thereby causing a lack of accuracy. …”
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Hematopoietic lineage-converted T cells carrying tumor-associated antigen-recognizing TCRs effectively kill tumor cells by Xiaofei Liu, Yang Geng, Juan Du, Fangxiao Hu, Dehao Huang, Yuxuan Luo, Peiqing Zhou, Cui Lv, Kaitao Wang, Qitong Weng, Yuxian Guan, Jiekai Chen, Jinyong Wang, Hongling Wu

“…Tumor-associated antigen (TAA) T-cell receptor (TCR) gene-engineered T cells exhibit great potential in antitumor immunotherapy. Considering the high costs and low availability of patient-derived peripheral blood T cells, substantial efforts have been made to explore alternatives to natural T cells. …”
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Improved Low-Complexity, Pilot-Based Channel Estimation for Large Intelligent Surface Systems by Ali Gashtasbi, Mário Marques da Silva, Rui Dinis

“…We also propose selective configurations of LIS antennas to balance high performance with reduced computational costs. Collectively, these strategies lead to a significant reduction in the Bit Error Rate (BER) and a remarkable improvement in the overall system performance, offering a practical solution for complex LIS deployments.…”
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Optimal Scheduling Strategy of Wind–Solar–Thermal-Storage Power Energy Based on CGAN and Dynamic Line–Rated Power by Sile Hu, Yuan Gao, Wenbin Cai, Jianan Nan, Ye Li, Muhammad Farhan Khan, Yucan Zhao, Jiaqiang Yang

“…The primary objectives are to reduce the operating costs of TP plants, maximize the utilization of wind and solar energy, minimize power deviations in electricity transmission, and enhance revenue from electricity transmission. …”
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Estimating rock strength parameters across varied failure criteria: Application of spreadsheet and R-based orthogonal regression to triaxial test data by Roberto Úcar, Luis Arlegui, Norly Belandria, Francisco Torrijo

“…Triaxial tests, a staple in rock engineering, are labor-intensive, sample-demanding, and costly, making their optimization highly advantageous. …”
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