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Flexible host–microbe interaction aid adaptation of black-necked crane to seasonal shifts
Published 2025-04-01Get full text
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Overhaul Scheduling Approach for Metro Vehicles Based on Genetic Algorithms
Published 2023-02-01“…In this scheduling approach, an evaluation function is applied to transform the train overhaul scheduling into the tasks to optimize the resource allocation for the overhaul process, and the resource allocation to the overhaul process is optimized leveraging the inherent parallelism and global optimization ability of the genetic algorithm, and the optimal chromosome is deemed as the final result of the overhaul scheduling. …”
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Vehicular cache nodes selection algorithm under load constraint in C-V2X
Published 2021-03-01“…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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Mechanisms for selective flotation separation of chalcopyrite and molybdenite using the novel depressant 2-(carbamimidoylthio)acetic acid: Experimental and DFT study
Published 2025-05-01“…This advancement addresses critical challenges in processing complex ores, offering environmental and economic benefits through reduced reagent consumption and improved resource utilization efficiency.…”
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Histological morphology and gene expression in the digestive system of Procambarus clarkii
Published 2025-07-01Get full text
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Nonlinear AVA Inversion Based on a Novel Quadratic Approximation for Fluid Discrimination
Published 2020-01-01Get full text
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Natural Toolbox–Chemical Engineering Aspect and High‐Value Applications of Janus Cellulose Nanomaterials
Published 2025-07-01Get full text
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Green Electrode Processing Enabled by Fluoro‐Free Multifunctional Binders for Lithium‐Ion Batteries
Published 2025-05-01Get full text
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Probiotic Fermentation of Defatted Cottonseed Meal for Sustainable Foods and Non-Food Applications
Published 2025-04-01“…Cottonseed is a valuable source of high-quality proteins and oils. Defatted cottonseed meal (DCSM), a by-product of cottonseed oil extraction, holds significant potential as a sustainable protein resource. …”
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Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II
Published 2025-05-01“…With the increasing demand for mineral resources, sustainable mining development faces challenges such as low resource utilization efficiency. …”
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Analysis of Support Design in Weak Rock Drift Using a Systematic Approach
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High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE...
Published 2025-05-01“…This article presents a high-performance-computing differential-evolution-based hyperparameter optimization automated workflow (AutoDEHypO), which is deployed on a petascale supercomputer and utilizes multiple GPUs to execute a specialized fitness function for machine learning (ML). …”
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Design and Application of Water Conservancy Model Management Service Platform
Published 2022-01-01“…The current water conservancy model cannot realize unified access and use,and the computing efficiency of multiple users,models,and schemes is low.In addition,the ability of sharing applications deeply bound with the system is weak.Therefore,the model fails to meet the requirements of intelligent water conservancy and digital twin watershed construction.In view of this,this paper designs a water conservancy model management service platform and applies it to practice.First,different types of water conservancy models are integrated,and their service interfaces are standardized,so as to uniformly receive model calculation service parameters and data in different formats and then convert them into required formats through platform adaptation,which avoids the problem of difficult unified invocation caused by differences in the interfaces of each model.Second,model computing resources are deployed and managed in a unified manner,and model calculation requests are distributed to different servers for calculation through task scheduling,so as to improve the resource utilization rate and reduce calculation time.Finally,a water conservancy model management service platform is developed,which integrates model management,model service,and model assembly functions,so as to provide the application system with model computing service.The application of multiple projects shows that the platform can integrate and share the resources of water conservancy models,give full play to the smart function,and provide support for the construction of intelligent water conservancy and digital twin watersheds.…”
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