Miaomiao Yang^1,2, Guosheng Huang^1,2, Junwei Liu³, Yanshuang Gui^1,2, Qixu Wang^1,2,*, Xingshu Chen^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1879-1898, 2023, DOI:10.32604/cmes.2023.026371

Abstract With the advantages of lightweight and high resource utilization, cloud-native technology with containers as the core is gradually becoming the mainstream technical architecture for information infrastructure. However, malware attacks such as Doki and Symbiote threaten the container runtime’s security. Malware initiates various types of runtime anomalies based on process form (e.g., modifying the process of a container, and opening the external ports). Fortunately, dynamic monitoring mechanisms have proven to be a feasible solution for verifying the trusted state of containers at runtime. Nevertheless, the current routine dynamic monitoring mechanisms for baseline data protection are still based on strong security assumptions.… More >

Ching-Bang Yao¹, Chang-Yi Kao^2,*, Jiong-Ting Lin³

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2233-2252, 2023, DOI:10.32604/iasc.2023.034488

Abstract Traditional monitoring systems that are used in shopping malls or community management, mostly use a remote control to monitor and track specific objects; therefore, it is often impossible to effectively monitor the entire environment. When finding a suspicious person, the tracked object cannot be locked in time for tracking. This research replaces the traditional fixed-point monitor with the intelligent drone and combines the image processing technology and automatic judgment for the movements of the monitored person. This intelligent system can effectively improve the shortcomings of low efficiency and high cost of the traditional monitor system. In this article, we proposed… More >

Sridha Ganesh¹, Rui Wang¹, Honglei Chen^1,2

Oncologie, Vol.23, No.3, pp. 335-350, 2021, DOI:10.32604/oncologie.2021.018610

Abstract Non-small cell lung cancer (NSCLC) constitutes about 84% of lung cancer. Hence, increased efforts have been fueled into immunotherapy of NSCLC with immune checkpoint inhibitors (ICIs). ICIs have recently taken off as promising immune-therapeutic methods that have slowed down the progress of NSCLC and equipped patients with survival advantages. However, the long-term respondents tally is less than 20% of the population. This low response rate warrants the need for dynamic biomarkers which will provide insight into the possible response of patients to ICIs. Biomarkers are biological molecules that predict the pathologic state of patients and the potential response they will… More >

Jie Li¹, Ziyu Zhou², Yun Chen², Qiusheng Yang^1,*, Carlos Alberto Busso^3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1633-1644, 2021, DOI:10.32604/phyton.2021.016795

Abstract The spatial-temporal variation of understory light availability has important influences on species diversity and community assembly. However, the distribution characteristics and influencing factors of understory light availability have not been fully elucidated, especially in temperate deciduous, broad-leaved forests. In this study, the understory light availability was monitored monthly (May–October) in a temperate deciduous, broad-leaved forest in Henan Province, China. Differences in the light availability among different months and habitat types were statistically analyzed using Kruskal–Wallis method, respectively. Partial least squares path modeling (PLS-PM) was used to explore the direct and/or indirect effects of stand structure, dominant species and topographic factors… More >