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A Multi-level Perception Security Model Using Virtualization
( Rui Lou ),( Liehui Jiang ),( Rui Chang ),( Yisen Wang ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.11
Virtualization technology has been widely applied in the area of computer security research that provides a new method for system protection. It has been a hotspot in system security research at present. Virtualization technology brings new risk as well as progress to computer operating system (OS). A multi-level perception security model using virtualization is proposed to deal with the problems of over-simplification of risk models, unreliable assumption of secure virtual machine monitor (VMM) and insufficient integration with virtualization technology in security design. Adopting the enhanced isolation mechanism of address space, the security perception units can be protected from risk environment. Based on parallel perceiving by the secure domain possessing with the same privilege level as VMM, a mechanism is established to ensure the security of VMM. In addition, a special pathway is set up to strengthen the ability of information interaction in the light of making reverse use of the method of covert channel. The evaluation results show that the proposed model is able to obtain the valuable risk information of system while ensuring the integrity of security perception units, and it can effectively identify the abnormal state of target system without significantly increasing the extra overhead.
Minor and major circRNAs in virus and host genomes
Lou Zhihao,Zhou Rui,Su Yinghua,Liu Chun,Wenting Ruan,전체옥,Xiao Han,Chun Lin,BAOLEI JIA 한국미생물학회 2021 The journal of microbiology Vol.59 No.3
As a special type of noncoding RNA, circular RNAs (circRNAs) are prevalent in many organisms. They can serve as sponges for microRNAs and protein scaffolds, or templates for protein translation, making them linked to cellular homeostasis and disease progression. In recent years, circRNAs have been found to be abnormally expressed during the processes of viral infection and pathogenesis, and can help a virus escape the immune response of a host. Thus, they are now considered to play important functions in the invasion and development of viruses. Moreover, the potential application of circRNAs as biomarkers of viral infection or candidates for therapeutic targeting deserves consideration. This review summarizes circRNAs in the transcriptome, including their classification, production, functions, and value as biomarkers. This review paper also describes research progress on circRNAs in viral infection (mainly hepatitis B virus, HIV, and some human herpes viruses) and aims to provide new ideas for antiviral therapies targeting circRNAs.
Generalized SCAN Bit-Flipping Decoding Algorithm for Polar Code
Lou Chen,Guo Rui 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
In this paper, based on the soft cancellation (SCAN) bit-flipping (SCAN-BF) algorithm, a generalized SCAN bit-flipping (GSCAN-BF-Ω) decoding algorithm is carried out, where Ω represents the number of bits flipped or corrected at the same time. GSCAN-BF-Ω algorithm corrects the prior information of the code bits and flips the prior information of the unreliable information bits simultaneously to improve the block error rate (BLER) performance. Then, a joint threshold scheme for the GSCAN-BF-2 decoding algorithm is proposed to reduce the average decoding complexity by considering both the bit channel quality and the reliability of the coded bits. Simulation results show that the GSCAN-BF-Ω decoding algorithm reduces the average decoding latency while getting performance gains compared to the common multiple SCAN bit-flipping decoding algorithm. And the GSCAN-BF-2 decoding algorithm with the joint threshold reduces the average decoding latency further by approximately 50% with only a slight performance loss compared to the GSCAN-BF-2 decoding algorithm.
Power Dispatching Technology based on Improved ABC Algorithm
Wei Lou,Rong Hu,Gang Luo,Rui Yang 대한전자공학회 2024 IEIE Transactions on Smart Processing & Computing Vol.13 No.3
Power dispatch is an effective measure to achieve the rational utilization of power resources and reduce economic costs. On the other hand, existing power resource scheduling technologies have problems, such as low efficiency and inability to meet actual power demand. Therefore, search factors and selection strategies are introduced based on the preprocessing of power load data to improve the artificial bee colony (ABC) algorithm, solve this problem, and meet the power load demand. A power resource-scheduling model based on the ABC algorithm is constructed to achieve reasonable utilization of resources. According to the findings, the optimized method showed the best convergence performance among the six benchmark function tests. In the f2 function, it converged from 108. The minimum loss value was 104 when the function iteration value was 103. This suggests that the power resource scheduling technology based on improved methods has good application effects and can effectively achieve the reasonable allocation and utilization of power resources.
Fang Wang,Jian-fang Lou,Yan Cao,Xin-hui Shi,Peng Wang,Jian Xu,Er-fu Xie,Ting Xu,Rui-hong Sun,Jianyu Rao,Pu-wen Huang,Shi-yang Pan,Hong Wang 생화학분자생물학회 2015 Experimental and molecular medicine Vol.47 No.-
MicroRNAs (miRNAs), a class of small non-coding RNAs, mediate gene expression by either cleaving target mRNAs or inhibiting their translation. They have key roles in the tumorigenesis of several cancers, including non-small cell lung cancer (NSCLC). The aim of this study was to investigate the clinical significance of miR-638 in the evaluation of NSCLC patient prognosis in response to chemotherapy. First, we detected miR-638 expression levels in vitro in the culture supernatants of the NSCLC cell line SPC-A1 treated with cisplatin, as well as the apoptosis rates of SPC-A1. Second, serum miR-638 expression levels were detected in vivo by using nude mice xenograft models bearing SPC-A1 with and without cisplatin treatment. In the clinic, the serum miR-638 levels of 200 cases of NSCLC patients before and after chemotherapy were determined by quantitative real-time PCR, and the associations of clinicopathological features with miR-638 expression patterns after chemotherapy were analyzed. Our data helped in demonstrating that cisplatin induced apoptosis of the SPC-A1 cells in a dose- and time-dependent manner accompanied by increased miR-638 expression levels in the culture supernatants. In vivo data further revealed that cisplatin induced miR-638 upregulation in the serum derived from mice xenograft models, and in NSCLC patient sera, miR-638 expression patterns after chemotherapy significantly correlated with lymph node metastasis. Moreover, survival analyses revealed that patients who had increased miR-638 levels after chemotherapy showed significantly longer survival time than those who had decreased miR-638 levels. Our findings suggest that serum miR-638 levels are associated with the survival of NSCLC patients and may be considered a potential independent predictor for NSCLC prognosis.
Chunjian Su,Jiazhen Liu,Zexuan Zhao,Shumei Lou,Rui Wang,Longyun Yang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.12
In the present study, a five-boundary conditional distribution function of the forming angle is proposed. The stress, strain, and springback of a sheet in roll-forming process under three different angle distribution functions are studied. Furthermore, effects of forming angle increment, sheet thickness, and material yield strength on stress, strain distribution, and springback of sheet during roll forming are studied under optimized forming angle. The results demonstrate that stress, strain, and springback of each pass based on increment of forming angle under five-boundary condition during roll forming are less than those achieved by other forming angle distribution methods. The stress and strain in the bending zone increase with increase in the sheet thickness. After roll forming, the springback angle decreases with the increase of sheet thickness, increases with the increase of forming angle and material yield strength. However, springback angle can be effectively reduced by increasing the number of passes or correction rolls.
Lin Fang,Fei-Hu Yan,Chao Liu,Jing Chen,Dan Wang,Chun-Hui Zhang,Chang-Jie Lou,Jie Lian,Yang Yao,Bo-Jun Wang,Rui-Yang Li,Shu-Ling Han,Yi-Bing Bai,Jia-Ni Yang,Zhi-Wei Li,Yan-Qiao Zhang 대한암학회 2021 Cancer Research and Treatment Vol.53 No.1
Purpose Systemic inflammatory response is a critical factor that promotes the initiation and metastasis of malignancies including pancreatic cancer (PC). This study was designed to determine and compare the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and fibrinogen-to-albumin ratio (FAR) in resectable PC and locally advanced or metastatic PC. Materials and Methods Three hundred fifty-three patients with resectable PC and 807 patients with locally advan-ced or metastatic PC were recruited in this study. These patients were classified into a training set (n=758) and a validation set (n=402). Kaplan-Meier survival plots and Cox proportional hazards regression models were used to analyze prognosis. Results Overall survival (OS) was significantly better for patients with resectable PC with low preoperative PLR (p=0.048) and MLR (p=0.027). Low FAR, MLR, NLR (p < 0.001), and PLR (p=0.003) were significantly associated with decreased risk of death for locally advanced or metastatic PC patients. FAR (hazard ratio [HR], 1.522; 95% confidential interval [CI], 1.261 to 1.837; p < 0.001) and MLR (HR, 1.248; 95% CI, 1.017 to 1.532; p=0.034) were independent prognostic factors for locally advanced or metastatic PC. Conclusion The prognostic roles of FAR, MLR, NLR, and PLR in resectable PC and locally advanced or metastatic PC were different. FAR showed the most prognostic power in locally advanced or metastatic PC. Low FAR was positively correlated with OS in locally advanced or metastatic PC, which could be used to predict the prognosis.