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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Labour Productivity in Medical Institutions as an Object of Scientific Analysis by A. N. Popsuyko, E. A. Batsina, G. V. Artamonova, E. A. Morozova

“…The authors analyzed sources of home and foreign literature, normative documents for the period 2010–2019 dealing with this problem and practices of public health system functioning. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

“…Second, we present a dataset of 58 galaxies observed with NIRSpec on JWST at $2.5<z<9.0$ that are selected to have strong nebular continuum emission via the detection of the Balmer jump. …”
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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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Enhancing Value and Efficiency in Egyptian Construction Projects: A Framework for Contractor Performance Assessment Using Value Engineering by May Emam, Sherif El- Attar, Abdullah Mohammed

“…The proposed model integrates function-worth analysis in contractor selection and introduces a Value Index (VI) for real-time performance monitoring. …”
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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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Construction of an Ecological Security Structure in Fuzhou City of Jiangxi Provicne Based on an MCR Model by Chen Qun, Liu Pinghui, Zhu Chuanmin

“…A minimum cumulative resistance (MCR) model was constructed by selecting various land use factors, soil and water conservation function importance, and ecological sensitivity. …”
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Uncertainty-Aware Active Meta-Learning for Few-Shot Text Classification by Sanghyun Seo, Hiskias Dingeto, Juntae Kim

“…Low-resource natural language understanding is one of the challenges in the field of language understanding. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. …”
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Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

“…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression by Siqi MA, Zhong WANG

“…Firstly, when the least square method is used to estimate the harmonic state, the weighted 1-norm and 2-norm are added to the penalty function at the same time; In addition, in order to estimate the harmonic state more efficiently and accurately, the Gaussian process and Bayesian optimization are applied to select the weight of 1-norm and 2-norm; Finally, the effectiveness of the proposed method is verified in IEEE14 node. …”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…First, the maximum entropy inverse reinforcement learning (MaxEnt IRL) method is employed to learn vehicle path selection strategy, i.e. the reward function, from the real data. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…The method’s optimization was carried out using the Box-Behnken design, whereas the optimized conditions were selected according to the desirability function. Validation of the method was done with the International Council for Harmonization, ICH Q2(R2) Guidelines. …”
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High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Gha... by Michael Brauer, Majid Ezzati, Sierra N Clark, Abosede S Alli, Jill Baumgartner, Mireille B Toledano, Allison F Hughes, James Nimo, Josephine Bedford Moses, Solomon Terkpertey, Jose Vallarino, Samuel Agyei-Mensah, Ernest Agyemang, Ricky Nathvani, Emily Muller, James Bennett, Jiayuan Wang, Andrew Beddows, Frank Kelly, Benjamin Barratt, Sean Beevers, Raphael E Arku

“…Our design uses a combination of fixed (year-long, n=10) and rotating (week-long, n =~130) sites, selected to represent a range of land uses and source influences (eg, background, road traffic, commercial, industrial and residential areas, and various neighbourhood socioeconomic classes). …”
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Regression-based leaf nitrogen concentration estimation of young Cephalotaxus hainanensis in small and imbalanced samples by Mengmeng Shi, Tian Wang, Ling Lin, Qingxue Li, Zhulin Chen, Xingjing Chen, Peng Wang, Xuefeng Wang

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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. …”
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