Thermal Characteristics Testing and Analysis of Dry Gear Hobbing Machine on Multivariate Information Fusion by Peng Shengdi, Yang Xiao, Li Benjie, He Lang, Zhang Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source fusion test method for the thermal characteristics of dry-cutting and hobbing machine was constructed. …”
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Thermal characteristics testing and analysis of dry gear hobbing machines on multivariate information fusion by PENG Shengdi, YANG Xiao, LI Benjie, HE Lang, ZHANG Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source information fusion test method for the thermal characteristics of dry gear hobbing machine was constructed. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…By changing the descending factor, the objective function shows a downward trend, and the dependence of the algorithm on the initial value is reduced. …”
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Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units by Wenhao CHAO, Zhi YUAN, Ji LI

“…Finally, the minimization of system comprehensive operation costs is selected as the overall objective function. At the same time, the carbon trading mechanism is considered to build the simulation model on the Matlab platform to verify the effectiveness of the proposed model. …”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…The model constructs prior knowledge using objective function values and constraint violation values, and then, it integrates this information to enhance selection processes. …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…Compared with the measured oxygen activation spectrum peak, the Gaussian function exhibited a high degree of morphological similarity. …”
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POTENTIAL OF MACHINE TRANSLATION IN MUSEUM MEDIA DISCOURSE: ANALYSIS OF MODERN BROWSER SYSTEMS by Vera A. Mityagina, Anna A. Novozhilova, Anna P. Naumova

“…The article is devoted to the actual problems of neural machine translation optimization, which are caused by the inclusion of multilingualism in the functionality of online resources for providing equal access to information for all users. …”
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Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

“…These ecological sources are predominantly concentrated in the southeastern region, where arboreal forests play a crucial role in maintaining ecological functions. …”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…Results show that the source-time function based on the fractional-order Gaussian function wavelet can better fit complex recording waveforms compared with the conventional Ricker wavelet-based source-time function, and the waveform misfit during the L-BFGS iteration decreased rapidly. …”
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Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…As a result of the presented problem, many scientists and specialists in the scientific field and in production face difficulties in choosing the optimal equipment for performing research and production processes, since large amounts of dispersed data significantly complicate the selection process and require large time and financial resources to search and analyze the necessary information. …”
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Health education interventions for individuals with visual or hearing impairment: a scoping review by Sohyun Jin, Geumbo Ko, Youngshin Song

“…Abstract Background Visual impairment refers to a deficiency in one or more functions of the visual system, while hearing impairment refers to a loss of auditory function, defined either by its impact on communication and daily activities or by clinical thresholds of hearing ability. …”
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Seq2scFv: a toolkit for the comprehensive analysis of display libraries from long-read sequencing platforms by Marianne Bachmann Salvy, Luca Santuari, Emanuel Schmid-Siegert, Nikolaos Lykoskoufis, Ioannis Xenarios, Bulak Arpat

“…Antibodies have emerged as the leading class of biotherapeutics, yet traditional screening methods face significant time and resource challenges in identifying lead candidates. …”
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Development of a Recombinase-Mediated Cassette Exchange System for Gene Knockout and Expression of Non-Native Gene Sequences in <i>Rickettsia</i> by Benjamin Cull, Nicole Y. Burkhardt, Benedict S. Khoo, Jonathan D. Oliver, Xin-Ru Wang, Lisa D. Price, Kamil Khanipov, Rong Fang, Ulrike G. Munderloh

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Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

“…When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time.…”
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When, where, and how prey pair antipredator behaviors to natural and anthropogenic mortality risks by Michael E. Egan, Abigail M. Weber, Nicole Gorman, Michael W. Eichholz, Daniel Skinner, Peter E. Schlichting, Guillaume Bastille-Rousseau

“…We used hidden Markov models to determine whether each covariate impacted the probability of transitioning between behavioral states and selection functions to determine whether deer spatially avoided each covariate. …”
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Effects of Soil Texture on Effective Mixing Depth and Solute Loss by WANG Jie, ZHENG Hao, LI Zihan, REN Shaocong, WANG Shuoguo, LIAN Qijie, WEI Yujie, CAI Chongfa

“…It is of great significance to quantify the effective mixing depth of texture-differentiated soils and investigate the response of effective mixing depth to soil erosion, and solute loss in the modeling of agricultural non-point source pollution. ［Methods］ The topsoils of five texturally distinct dry croplands in the Danjiangkou Reservoir Region were selected as the research object. …”
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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…We measured the growth of all 16 haploid combinations of alleles at these loci in all four possible combinations of carbon source (ethanol or glucose) and temperature (30 or 37°C) in a nearly isogenic population. …”
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IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

“…In addition, we design a novel loss function that links output loss to stripe selection, enabling an effective balance between accuracy and efficiency. …”
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mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data. by Guillermo Pérez-Hernández, Peter W Hildebrand

“…We present mdciao, an open-source command line tool and Python Application-Programming-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. …”
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