Hadamard-Type k-Fractional Integral Inequalities for Exponentially α,h−m-Convex Functions by Chahn Yong Jung, Ghulam Farid, Sidra Bibi, Kottakkaran Sooppy Nisar, Shin Min Kang

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Protective effect of resveratrol on retinal damage in glaucoma: a systematic review and meta-analysis of preclinical studies by Feng Zhang, Feng Zhang, Tao Li, Junli Wan, Junli Wan, Lu Wang, Lu Wang, Wenmei Guo, Wenmei Guo, Yue Hu, Yue Hu, Hao Wang, Hao Wang, Wei Bian, Wei Bian

“…Methodological quality was evaluated using SYRCLE’s bias risk tool, with statistical analysis performed using Stata 17.0. …”
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Stresser-Péan Guy y Claude, con la colaboración de Alain Ichon, Tamtok, sitio arqueológico huasteco. 1 - Su historia, sus edificios, Instituto de cultura de San Luis Potosí, El Colegio de San Luis A. C., CONACULTA/INAH/CEMCA, con el apoyo de la Fondation Singer-Polignac, México, 2001, 364 p., bibl., ill., plan hors-texte + cédérom avec version française by Dominique Michelet

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Okul Öncesi Çocukları İçin Kitap Seçim Özyeterlik Ölçeği’nin Geliştirilmesi: Öğrenci Formu by Feride Gök, Işıl İlknur Sert, Buket Tan, Ayse Turla, Fuat Elkonca, Remziye Ceylan, Hale Dere Çiftçi

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Atypical Dengue Outbreak in Odisha: Insights from the Entomological Investigations by Sudhansu Sekhar Sahu, Mohammed Mustafa Baig, Dilip Kumar Panigrahi, Ananganallur Nagarajan Shriram, Ashwani Kumar

“…The village exhibited high (house index = 24.8), (container index = 11.6), (pupal index = 32.7), and (Breteau index = 40.6) indices. …”
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Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin by Mengjiao Dou, Shaohua Li, Wanjiang Bian, Huan Wang, Lunjie Chang, Zhengjun Zhu, Jun Li

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Preparation of natural raw rubber and silica/NR composites with low generation heat through aqueous silane flocculation by Diao Pengfei, Xiao Yao, Gong Zheng, Yang Shenglong, Wang He, Wang Chuansheng, Bian Huiguang

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Cooling in Surgical Patients: Two Case Reports by Bibi F. Gurreebun, Christos S. Zipitis, Ngozi E. Edi-Osagie, Ian M. Dady, Axel Sylvan

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The Action Control Model for Robotic Fish Using Improved Extreme Learning Machine by XueXi Zhang, ShuiBiao Chen, ShuTing Cai, XiaoMing Xiong, Zefeng Hu

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Micro- and Nanoscale Pore Structure Characterization and Mineral Composition Analysis of Clayey-Silt Hydrate Reservoir in South China Sea by Cheng Lu, Yuxuan Xia, Xuwen Qin, Chao Ma, Hang Bian, Donghui Xing, Hongfeng Lu

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Er-Xian Decoction Stimulates Osteoblastic Differentiation of Bone Mesenchymal Stem Cells in Ovariectomized Mice and Its Gene Profile Analysis by Shufen Liu, Jianhua Huang, Jing Wang, Yongjian Zhao, Sheng Lu, Yongjun Wang, Qin Bian

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Enrichment and Separation of Methane Gas by Vacuum Pressure Swing Adsorption by Tao Zhu, Ruonan Wang, Xing Zhang, Yiwei Han, Wenjing Bian, Yan Ma, Ming Xue

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Extraction of Features due to Breathing Crack from Vibration Response of Rotated Blades considering Tenon Connection and Shroud Contact by Faming Yang, Yongmin Yang, Haifeng Hu, Fengjiao Guan, Guoji Shen, Suiyu Chen, Zifang Bian

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Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning by Biao ZHANG, Ximing WANG, Yifan XU, Wen LI, Hao HAN, Songyi LIU, Xueqiang CHEN

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Application of finger-pressing on Tiantu acupoint to induce cough in postoperative patients with early-stage lung cancer (指压天突穴引咳法在早期肺癌术后患者中的应用)... by BIAN Guanjun (边冠军), ZHANG Chunmei (张春梅), LIU Lifeng (刘丽峰)

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Deformation Behavior of Coarse-Grained Soil as an Embankment Filler under Cyclic Loading by Zhong-Ming He, Da Xiang, Ya-Xin Liu, Qian-Feng Gao, Han-Bing Bian

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Load prediction based elastic resource scheduling strategy in Flink by Ziyang LI, Jiong YU, Yuefei WANG, Chen BIAN, Yonglin PU, Yitian ZHANG, Yu LIU

“…In order to solve the problem that the load of big data stream computing platform fluctuates drastically while the cluster was suffering from the performance bottleneck due to the shortage of computing resources,the load prediction based elastic resource scheduling strategy in Flink (LPERS-Flink) was proposed.Firstly,the load prediction model was set up as the foundation to propose the load prediction algorithm and predict the variation tendency of the processing load.Secondly,the resource judgment model was set up to identify the performance bottleneck and resource redundancy of the cluster while the resource scheduling algorithm was proposed to draw up the resource rescheduling plan.Finally,the online load migration algorithm was proposed to execute the resource rescheduling plan and migrate processing load among nodes efficiently.The experimental results show that the strategy provides better performance promotion in the application with drastically fluctuating processing load.The scale and resource configuration of the cluster responded to the variation of processing load in time and the communication overhead of the load migration was reduced effectively.…”
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Research advance of Bacillus velezensis: bioinformatics, characteristics, and applications by Ting Su, Biao Shen, Xingjuan Hu, Yue Teng, Peifang Weng, Zufang Wu, Lianliang Liu

“…In addition, B. velezensis is a promising probiotic. It possesses high bile-salt tolerance characteristics and has a high success rate of colonization in the intestinal mucosa. …”
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Pediatric endoscopic retrograde pancreatography expertise in chronic pancreatitis: a single-center analysis by Hongxi Guo, Juan Luo, Hu Yang, Jun Yang, Hongqiang Bian, Xufei Duan, Xin Wang

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Flow-network based auto rescale strategy for Flink by Ziyang LI, Jiong YU, Chen BIAN, Yitian ZHANG, Yonglin PU, Yuefei WANG, Liang LU

“…In order to solve the problem that the load of big data stream computing platform is increasing with fluctuation while the cluster was not able to rescale efficiently,the Flow-network based auto rescale strategy for Flink was proposed.Firstly,the flow-network model was set up and the capacity of each edge that was calculated by self-learning algorithm.Secondly,the bottleneck of the cluster was acquired by maximum-flow algorithm and the resource rescheduling plan was drawn up.Finally,the resource rescheduling plan was executed and the stateful data was migrated efficiently by the data migration algorithm based on the strategy of data partitioning by bulk and bucket.The experimental results show that the strategy can effectively provide performance promotion in the application with complex stateful data.It improved the throughput of the cluster and reduced the time overhead of the data migration on the premise of satisfying the latency constrain of the application,which means that the strategy promotes the scalability of the cluster efficiently.…”
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