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Peer-to-Peer Video-on-Demand with Distributed Cache
( Jian-ji Ren ),( Jae-kee Lee ) 한국정보처리학회 2007 한국정보처리학회 학술대회논문집 Vol.14 No.2
It is difficult to provide a video on demand (VoD) service to a large number of users via the Internet. This is due to the characteristics of VoD, which require a large bandwidth for a long playing time. The Peer-to-Peer (P2P) concept is proposed to increase the scalability of the VoD service. Many studies have been undertaken to solve this problem. But its success is still quite limited technically, these research have been deployed in a rush, mostly based on practicality and instability. A system which uses a distributed VoD streaming scheme over P2P network is proposed to support media streaming.
Ren, Yong-Qiang,Han, Ju-Qiang,Cao, Jian-Biao,Li, Shao-Xiang,Fan, Gong-Ren Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.11
Objective: The objective of this study was to evaluate the association of MDR1 gene polymorphisms with susceptibility to hepatocellular carcinoma (HCC). Methods: A total of 689 HCC patients and 680 cancer-free subjects were enrolled. Human MDR1 gene polymorphisms were investigated by created restriction site-polymerase chain reaction (CRS-PCR) and DNA sequencing methods. Multiple logistic regression models were applied to estimate the association between MDR1 gene polymorphisms and susceptibility to HCC. Results: We detected a novel c.4125A>C polymorphism and our findings suggested that this variant was significantly associated with susceptibility to HCC. A significantly increased susceptibility to HCC was noted in the homozygote comparison (CC versus AA: OR=1.621, 95% CI 1.143-2.300, ${\chi}^2$=7.4095, P=0.0065), recessive model (CC versus AC+AA: OR=1.625, 95% CI 1.167-2.264, ${\chi}^2$=8.3544, P=0.0039) and allele contrast (C versus A: OR=1.185, 95% CI 1.011-1.389, ${\chi}^2$=4.4046, P=0.0358). However, no significant increase was observed in the heterozygote comparison (AC versus AA: OR=0.995, 95% CI 0.794-1.248, ${\chi}^2$=0.0017, P=0.9672) and dominant model (CC+AC versus AA: OR=1.106, 95% CI 0.894-1.369, ${\chi}^2$=0.8560, P=0.3549). Conclusions: These findings suggest that the c.4125A>C polymorphism of the MDR1 gene might contribute to susceptibility to HCC in the Chinese population. Further work will be necessary to clarify the relationship between the c.4125A>C polymorphism and susceptibility to HCC on larger populations of diverse ethnicity.
Distributed Cache to Support Video-on-Demand Service over P2P Network
( Jian-ji Ren ),( Jae-kee Lee ) 한국정보처리학회 2007 한국정보처리학회 학술대회논문집 Vol.14 No.1
P2P Video-on-Demand (VoD) is becoming a popular service in the Internet. The first deployments are already in place, and millions of customers worldwide are already using this new medium. But its success is still quite limited and technically, these researches have been deployed in a rush, mostly based on practicality and instability. This paper studies the advantages and potential problems of VoD in peer-to-peer (P2P) network, we propose a system which uses a distributed VoD streaming scheme over P2P network to support media streaming.
VotingRank: A Case Study of e-Commerce Recommender Application Using MapReduce
( Jian-ji Ren ),( Jae-kee Lee ) 한국정보처리학회 2009 한국정보처리학회 학술대회논문집 Vol.16 No.1
There is a growing need for ad-hoc analysis of extremely large data sets, especially at e-Commerce companies which depend on recommender application. Nowadays, as the number of e-Commerce web pages grow to a tremendous proportion; vertical recommender services can help customers to find what they need. Recommender application is one of the reasons for e-Commerce success in today’s world. Compared with general e-Commerce recommender application, obviously, general e-Commerce recommender application’s processing scope is greatly narrowed down. MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. The objective of this paper is to explore MapReduce framework for the e-Commerce recommender application on major general and dedicated link analysis for e-Commerce recommender application, and thus the responding time has been decreased and the recommender application’s accuracy has been improved.
Jian Ren,Xiao Xiao,Li Ruofei,Lv Cheng,Zhang Yu,Leiming Wang,Tao Hong,Hongqi Zhang,Wang Yibo 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Cavernous malformations (CMs) invading the central nervous system occur in ~0.16–0.4% of the general population, often resulting in hemorrhages and focal neurological deficits. Further understanding of disease mechanisms and therapeutic strategies requires a deeper knowledge of CMs in humans. Herein, we performed single-cell RNA sequencing (scRNA-seq) analysis on unselected viable cells from twelve human CM samples and three control samples. A total of 112,670 high-quality cells were clustered into 11 major cell types, which shared a number of common features in CMs harboring different genetic mutations. A new EC subpopulation marked with PLVAP was uniquely identified in lesions. The cellular ligand‒receptor network revealed that the PLVAP-positive EC subcluster was the strongest contributor to the ANGPT and VEGF signaling pathways in all cell types. The PI3K/AKT/mTOR pathway was strongly activated in the PLVAP-positive subcluster even in non-PIK3CA mutation carriers. Moreover, endothelial-to-mesenchymal transition (EndMT) cells were identified for the first time in CMs at the single-cell level, which was accompanied by strong immune activation. The transcription factor SPI1 was predicted to be a novel key driver of EndMT, which was confirmed by in vitro and in vivo studies. A specific fibroblast-like phenotype was more prevalent in lesion smooth muscle cells, hinting at the role of vessel reconstructions and repairs in CMs, and we also confirmed that TWIST1 could induce SMC phenotypic switching in vitro and in vivo. Our results provide novel insights into the pathomechanism decryption and further precise therapy of CMs.
A k-means++ Algorithm for Internet Shopping Search Engine
( Jian-ji Ren ),( Jae-kee Lee ) 한국정보처리학회 2008 한국정보처리학회 학술대회논문집 Vol.15 No.2
Nowadays, as the indices of the major search engines grow to a tremendous proportion, vertical search services can help customers to find what they need. Search Engine is one of the reasons for Internet shopping success in today’s world. The import one part of search engine is clustering data. The objective of this paper is to explore a k-means++ algorithm to calculate the clustering data which in the Internet shopping environment. The experiment results shows that the k-means++ algorithm is a faster algorithm to achieved a good clustering.
Feng Jian,Ren Jian,Fan Ren-Yi,Lei Jing 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.7
Mobile application for campus is an integral part of the construction of wisdom campus. CampusService - a campus information service system is designed, and is comprised of three parts, Android client, Web client and server, which are all designed according to MVC pattern. C/S architecture is adopted between the Android client and the server, B/S architecture is adopted between the Web client and the server, and JSON is used as a unified data interface for accomplishing the interactions. The architectures of three parts are described, and key technologies are represented, including database access optimization, Android display, transaction management and authentication, among which database access optimization technology has two respects: using C3P0 to maintain connection pool and prefetching data based on their popularity. According to testing, the system implements functions of user management, intramural announcements, interaction with friends, activity participation, and campus maps, and it has good performance. The system provides an efficient platform for real-time communication among teachers, students and school authority.