Comparative analysis of hybrid-SNP microarray and nanopore sequencing for detection of large-sized copy number variants in the human genome by Catarina Silva, José Ferrão, Bárbara Marques, Sónia Pedro, Hildeberto Correia, Ana Valente, António Sebastião Rodrigues, Luís Vieira

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Features of measles diagnostics and prevention at the present stage by Ya. M. Eremoshkina, T. K. Kuskova, E. T. Vdovina, A. V. Savina, M. V. Bogdanova, S. I. Kotiv

“…The algorithm for diagnosing measles, presented in this article, allows to suspect this disease at the early stages. …”
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Malware detection approach based on improved SOINN by Bin ZHANG, Lixun LI, Shuqin DONG

“…To deal with the problems of dynamic update of detection model and high computation costs in malware detection model based on batch learning,a novel malware detection approach is proposed by combing SOINN and supervised classifiers,to reduce computation costs and enable the detection model to update dynamically with the assistance of SOINN′s incremental learning characteristic.Firstly,the improved SOINN was given.According to the whole alignment algorithm,search the adjusted weights of neurons under all input sequences in the learning cycle and then calculate the average value of all adjusted weights as the final result,to avoid SOINN′s stability under different input sequences and representativeness of original data,therefore improve malware detection accuracy.Then a data preprocessing algorithm was proposed based on nonnegative matrix factor and Z-score normalization to transfer the malware behavior feature vector from high dimension and high order to low dimension and low order,to speed up and avoid overfitting and further improve detection accuracy.The results of experiments show that proposed approach supports dynamic updating of detection model and has a significantly higher accuracy of detecting unknown new samples and lower computation costs than tradition methods.…”
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Novel genotyping algorithms for rare variants significantly improve the accuracy of Applied Biosystems™ Axiom™ array genotyping calls: Retrospective evaluation of UK Biobank array... by Orna Mizrahi-Man, Marcos H Woehrmann, Teresa A Webster, Jeremy Gollub, Adrian Bivol, Sara M Keeble, Katherine H Aull, Anuradha Mittal, Alan H Roter, Brant A Wong, Jeanette P Schmidt

“…We developed a novel addition to the genotyping algorithm, Rare Heterozygous Adjusted (RHA), to significantly improve PPV in variants with minor allele frequency below 0.01%. …”
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Development and Design of an Optimal Fuzzy Logic Two Degrees of Freedom-Proportional Integral Derivative Controller for a Two-Area Power System Using the Bee Algorithm by Sitthisak Audomsi, Supannika Wattana, Narongkorn Uthathip, Worawat Sa-ngiamvibool

“…This study introduces a fuzzy logic-based two-degree-of-freedom PID (FL2DOF-PID) controller that is optimized using the Bee Algorithm (BA) to control the load frequency in a two-area linked power system that has both reheat thermal power plants and hydro power plants. …”
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On Some Approaches to the Solution of the Problem «Useful Proof-of-work for Blockchains» by Valeriy G. Durnev, Dmitry M. Murin, Valery A. Sokolov, Dmitry Ju. Chalyy

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Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis by Yi Xu, Ying Mao, Xiaoting Hua, Yan Jiang, Yi Zou, Zhichao Wang, Zubi Liu, Hongrui Zhang, Lingling Lu, Yunsong Yu

“…The employment of machine learning on whole-genome sequencing data (WGS) presents significant potential for uncovering the genomic mechanisms underlying drug resistance in MTB. …”
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Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at the herd level using mid-infrared spectral information f... by A. Birkinshaw, M. Sutter, M. Nussbaum, M. Kreuzer, B. Reidy

“…Our results suggest that in general, LASSO and PLS-DA machine learning algorithms perform better for dietary GBF classification than RF or SVM algorithms.…”
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Research on SaaS Support Architecture and Key Technologies by Xiaodong Zhang, Lanshun Nie, Fanchao Meng

“…The problems of performance and scalability by consistent hashing feedback algorithm and three stages of dynamical extending and deploying strategy were solved. …”
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Hybridization of Galactic Swarm and Evolution Whale Optimization for Global Search Problem by Binh Minh Nguyen, Trung Tran, Thieu Nguyen, Giang Nguyen

“…The Whale Optimization Algorithm mimics the unusual social behaviors and the hunting activities of humpback whales. …”
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Integrated optimization model for production and equipment dispatching in underground mines by LI Guo-qing, HOU Jie, HU Nai-lian

“…Each step of stope mining has a significant effect on the whole mining plan; therefore, it is very important to form a reasonable configuration to achieve the mining plan target. …”
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Differential Study on Estimation Models for Indica Rice Leaf SPAD Value and Nitrogen Concentration Based on Hyperspectral Monitoring by Yufen Zhang, Kaiming Liang, Feifei Zhu, Xuhua Zhong, Zhanhua Lu, Yibo Chen, Junfeng Pan, Chusheng Lu, Jichuan Huang, Qunhuan Ye, Yuanhong Yin, Yiping Peng, Zhaowen Mo, Youqiang Fu

“…For prediction of leaf SPAD value and LNC, the model constructed with the RF algorithm based on whole growth periods of spectral reflectance performed the best, with R² values of 0.99 and 0.98 and NRMSE values of 2.99% and 4.61%. …”
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A Proposed Genetic Risk Score for Dilated Cardiomyopathy Susceptibility in the Chinese Han Population by Jianjun Lan, MD, Lin Wang, MD, Guoyuan Qiu, MD, Shihai Wang, MD, Chao Yang, MD, Mengnian Ran, MD, Hongyu Li, MD, Shiyang Li, MD

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Optimization of the parameters of truss beams with two posts by A. K. Yusupov, H. M. Musеlеmov, T. O. Ustarhanov

“…The proposed method and algorithm testify to the efficiency and rationality of the obtained optimal parameter of the structure as a whole.…”
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Optimizing Vehicle Body Cross-Sections Using a Parametric Mathematical Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

“…Then, the stochastic gradient genetic algorithm is used to optimize the solution and determine the geometric parameters of each section. …”
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MODELING OF ANALYSIS OF TEXT DOCUMENTS AND BRIEF COMMUNICATIONS BASED ON VERBAL ASSOCIATIONS by S. F. Lipnitsky

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Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
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Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
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An effective routing scheme of sparse wireless sensor networks by Chao SONG, Yingfeng ZHENG, Wenbin ZHAO

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An effective routing scheme of sparse wireless sensor networks by Chao SONG, Yingfeng ZHENG, Wenbin ZHAO

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