The reagent method of the hydrogeological wells regeneration by A. Ya. Tret’yak, V. V. Shwets

“…The optimal time for the colmated filter regeneration has been indicated. …”
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Optimizing corn yield prediction: Integrating multi-temporal UAS data and machine learning by Huihui Zhang, Yuting Zhou, Shengfang Ma, Kevin Yemoto

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Optimization and calibration of 384-well kinetic Ca2+ mobilization assays for the human transient receptor potential cation channels TRPM8, TRPV1, and TRPA1 by David A. Close, V. Blair Journigan, Paul A. Johnston

“…Heterologous expression of hTRPM8 in HEK293T cells was required for anti-TRPM8 antibody staining and TRPM8 agonist induced Ca2+ mobilization signals which were both used to optimize transfection efficiency. FLIPR Calcium 6 dye concentration, loading time, and TRPM8 transfected cell seeding density were optimized and a DMSO tolerance of ≤0.2 % was set. …”
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Impact of the Interruption Duration on Photoluminescence Properties of MOCVD-Grown GaAsP/InAlGaAs Quantum Well Structures by Bin Wang, Yugang Zeng, Xuezhe Yu, Weijie Gao, Wei Chen, Haoyu Shen, Li Qin, Yongqiang Ning, Lijun Wang

“…The growth interruption technology is introduced to the growth of GaAsP/InAlGaAs quantum well (QW) structure using metal–organic chemical vapor deposition (MOCVD). …”
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Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms by Sherly Ardhya Garini, Ary Mazharuddin Shiddiqi, Widya Utama, Alif Nurdien Fitrah Insani

“…Lithology classification is crucial for efficient and sustainable resource exploration in the oil and gas industry. Missing values in well-log data, such as Gamma Ray (GR), Neutron Porosity (NPHI), Bulk Density (RHOB), Deep Resistivity (RS), Delta Time Compressional (DTCO), Delta Time Shear (DTSM), and Resistivity Deep (RD), significantly affect machine learning classification accuracy. …”
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Time and cost optimization management in the field of urban excavation and coordination of drilling companies' performance using Geographic Information System (GIS) by Elham Khoshdel Pashaki

“…Therefore, this web-based system, by utilizing the aforementioned technologies, simultaneously enables "excavation integration" and "time and cost optimization," and ultimately improves urban infrastructure management.…”
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Efficient resource allocation for D2D-enabled social IoT networks: A tripartite and time-scale optimization approach by Saurabh Chandra, Rajeev Arya, Maheshwari Prasad Singh

“…Additionally, the average time to deliver resources to CSI users is minimized by 60.83% through optimal power usage. …”
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A ROS-Based Online System for 3D Gaussian Splatting Optimization: Flexible Frontend Integration and Real-Time Refinement by Li’an Wang, Jian Xu, Xuan An, Yujie Ji, Yuxuan Wu, Zhaoyuan Ma

“…The 3D Gaussian splatting technique demonstrates significant efficiency advantages in real-time scene reconstruction. However, when its initialization process relies on traditional SfM methods (such as COLMAP), there are obvious bottlenecks, such as high computational resource consumption, as well as the decoupling problem between camera pose optimization and map construction. …”
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Optimization for Rapid Detection of E. coli O157:H7 Using Real-Time Loop-Mediated Isothermal Amplification by Alaleh Valiallahi, Mehdi Zeinoddini, Shirin Jalili

“…The LAMP reaction was optimized with three variable factors of MgSO4 concentration, temperature, and incubation time, in a traditional (separate) way and by Taguchi experimental design. …”
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Optimizing nitrogen fertilizer spraying timings to enhance nitrogen use efficiency in oil peony: Implications for intelligent Micro-sprinkler systems by Xiaolei Ma, Xingqiao Liu, Haolin Ma, Yabing Zhang, Shaodan Liu, Nannan Zhang, Di Yang, Xiaogai Hou

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A New Approach for Determining the Control Volumes of Production Wells considering Irregular Well Distribution and Heterogeneous Reservoir Properties by Cheng Lu, Ling Chen, Xiaodong Wang, Wanjing Luo, Yue Peng, Yudong Cui, Lin Wang, Bailu Teng

“…The oil and gas fields are commonly developed with a group of production wells. Therefore, it can be essential for the industries to predict the performance of the production wells in order to optimize the development strategies. …”
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Optimizing sowing time and weather conditions for enhanced growth and seed yield of chia (Salvia hispanica L.) in semi-arid regions by CB Harisha, KM Boraiah, PS Basavaraj, Hanamant M. Halli, Ram Narayan Singh, Jagadish Rane, K Sammi Reddy, GR Halagundegowda, Amresh Chaudhary, Arvind Kumar Verma, Y Ravi, Honnappa Asangi, E Senthamil

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L-Band Erbium-Doped Fiber Optimization and Transmission Investigation by Kaihua Hu, Li Pei, Jianshuai Wang, Zhouyi Hu, Wenxuan Xu, Long Zhang, Jing Li, Li Zhong

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Optimal UAV Deployment for Data Collection in Deadline-based IoT Applications by Baghdad Science Journal

“…In order to find an optimal solution to this problem, we will first provide a mixed integer linear programming model (MILP) and then we used a heuristic to solve the time complexity problem. …”
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Methodologies for Improved Optimisation of the Derivative Order and Neural Network Parameters in Neural FDE Models by Cecília Coelho, M. Fernanda P. Costa, Oliver Niggemann, Luís L. Ferrás

“…Nonetheless, the issue of non-uniqueness in the optimal derivative order remains, particularly in <i>less</i> well-posed scenarios, suggesting the need for further research in data-driven modelling of fractional-order systems.…”
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How are 24-hour movement guidelines linked to health-related quality of life in Spanish children and adolescents? by Raquel Pastor-Cisneros, María Mendoza-Muñoz, Damián Pereira-Payo, José Francisco López-Gil

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Optimal Dispatch Strategy of Power and Electricity Balance Based on Multi-Energy Complementation by Zhiyuan SUN, Boya PENG, Yan SUN

“…First, according to the seasonal and short-term fluctuation characteristics of new energy output, by taking into account the medium and long-term electricity balance as well as short-term power balance, the multi-time scale double-layer optimal scheduling system model is established. …”
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Towards optimizing exercise prescription for type 2 diabetes: modulating exercise parameters to strategically improve glucose control by Marcotte-Chénard Alexis, Little Jonathan P.

“…Reflecting on the main pathophysiological features of T2D, we review the evidence to highlight how factors related to exercise prescription can be modulated to target improved glucose control in T2D, including the frequency, intensity, total volume, and timing (e.g., pre- vs. post-prandial) of exercise, as well as exercise modality (e.g., aerobic vs. resistance training). …”
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A novel fluid loss control agent for reducing transition time and optimizing fluid loss and rheological properties in fresh cement slurry by Mohammad Khazaei, Mohsen Dehvedar

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Presentating a multi-objective optimization model for resource-constrained project scheduling regarding financial costs, time delays and the reliability function by Saeideh Naderi, Mohsen Vaez-Ghasemi, Farzad Movahedi Sobhani

“…Accordingly, it can be concluded that this meta-heuristic algorithm (GA) has more efficiency and more apposite performance for the recommended model compared with the Exact optimization software. The use of the math model designed in this study can result in decreasing the time delays in projects and the costs of scheduling problems, as well as increasing the reliability in multi-mode activities.…”
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