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TC1 (C8orf4) is involved in ERK1/2 pathway-regulated G1-to S-phase transition
( Yi Dong Wang ),( Guo Hui Bian ),( Xiao Yan Lv ),( Rong Zheng ),( Huan Sun ),( Zheng Zhang ),( Ye Chen ),( Qin Wei Li ),( Yan Xiao ),( Qiu Tan Yang ),( Jian Zhong Ai ),( Yu Quan Wei ),( Qin Zhou ) 생화학분자생물학회 2008 BMB Reports Vol.41 No.10
北京市老年人网络养老服务需求意愿及影响因素分析基于 "北京市城市老年人网络养老需求意愿”调查数据
???(Lv Xuejing),丁一(Ding Yi) 글로벌시니어건강증진개발원 2013 글로벌시니어건강증진개발원 논문집 Vol.3 No.1
With the development of the socio-economic and the improving degree of the aging of population, traditional pension service system in the form of family, community and pension agency, which concludes life care, mental health, culture and entertainment, social participation and rights protection has been unable to fully meet increasing needs from the aged either in infrastructure or related services. Under the social environment of rising Internet penetration, the paper studied the status of the network pension service firstly, then analyzed the requirements and influence factors of network pension service of the aged, using survey data of the Beijing demand will of urban elderly Network pension by Binary Logistic regression analysis finally, the paper tried to build a network pension service platform based on the conclusions, which has significance both in theory and practice for improving pension service level and achieving a new leaps
Lv Fei,Yang Wen-Yan,Chen Zhi-Teng,Xu Qiang,Zhou Yi-Jing,Du Yu-Zhou 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.3
Partial mitogenomes of three species from the genus Ips (Coleoptera; Curculionidae), Ips grandicollis, Ips sexdentatus and Ips typographus were sequenced and analyzed. The three mitogenomes are 11,553-bp with 28 genes, 13,135-bp with 30 genes, and 13,502-bp with 30 genes, respectively. Their gene arrangements are consistent with that of Drosophila yakuba. The three Ips species shared the conserved overlapping sequence motif “ATGATAG” between ATP8 and ATP6, using TTG as start codon for ND1 genes and TAG as stop codon for ATP8 genes. All tRNA genes could fold into typical cloverleaf structures except for tRNASer1. Three tRNASer1 genes lack the DHU arm and instead formed the D-loop. The phylogenetic analyses indicate that Scolytinae is paraphyly and belongs to Curculionidae. The Eurasian I. sexdentatus is sister group to the North American I. grandicollis and the Eurasian I. typographus. The phylogeny of Ips based on COI genes indicates that Ips is paraphyly, Ips perroti and Orthotomicus suturalis are sister groups and Ips spinifer is grouped with (Orthotomicus chaokhao + Orthotomicus erosus).
Key Distribution for Heterogeneous Public-Key Cryptosystems
Lv, Xixiang,Yi, Mu,Hui, Li The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.5
The widespread use of cryptographic technologies is complicated by inconsistencies and duplication in the key management systems supporting their applications. The proliferation of key management systems or protocols also results in higher operational and infrastructure costs, and fails in interoperability. Thus, it is essential to realize key management interoperability between different and heterogeneous cryptosystems. This paper presents a practical and separable key management system for heterogeneous public-key cryptosystems. We achieve the interoperability between different cryptosystems via cryptography approaches rather than communication protocols. With our scheme, each client can freely use any kind of cryptosystemthat it likes. The proposed scheme has two advantages over the key management interoperability protocol introduced by the organization for the advancement of structured information standards. One is that all the related operations do not involve the communication protocol and thus no special restrictions are taken on the client devices. The other is that the proposed scheme does not suffer from single-point fault and bottleneck problems.
Mechanical Property and Microstructure of Fly Ash-Based Geopolymer Activated by Sodium Silicate
Qingfeng Lv,Jingjing Yu,Fengling Ji,Liuyang Gu,Yi Chen,Xiaokang Shan 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.5
Sodium silicate is one of the common alkali activators of geopolymers. The modulus, concentration and dosage of sodium silicate have significant effects on the activation of fly ash, the strength and microstructure of geopolymer. In this paper, unconfined compressive strength test, X-ray diffraction analysis (XRD), Fourier transform infrared light (FTIR), 29Si nuclear magnetic resonance (29Si NMR), scanning electron microscope and energy disperse spectroscopy (SEM-EDS), and physisorption experiment (BET) were carried out to study the effects of the sodium silicate modulus and dosage on the mechanical property and microstructure of fly ash-based geopolymer. The results indicated that the main product of the geopolymer activated by sodium silicate was hydrated sodium aluminosilicate (N-A-S-H). When modulus value decreased and meanwhile dosage of sodium silicate increased, the reorganization and polymerization of gel products were accelerated so that the integrity and continuity of the microstructure of geopolymer were improved, and then the strength increased. When the modulus of sodium silicate was 3.28, the maximum value of the strength was at the dosage of 10%. According to this study, it was investigated that modulus value and dosage of sodium silicate had obvious influence on the alkali- activated reaction of fly ash, which can provide an engineering reference for the special soil solidification with geopolymers.
Hypermethylation of TET1 Promoter Is a New Diagnosic Marker for Breast Cancer Metastasis
Sang, Yi,Cheng, Chun,Tang, Xiao-Feng,Zhang, Mei-Fang,Lv, Xiao-Bin Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.3
Breast cancer metastasis is a major cause of cancer-related death in women. However, markers for diagnosis of breast cancer metastasis are rare. Here, we reported that TET1, a tumor suppressor gene, was downregulated and hypermethylated in highly metastatic breast cancer cell lines. Moreover, silencing of TET1 in breast cancer cells increased the migration and spreading of breast cancer cells. In breast cancer clinical samples, TET1 expression was reduced in LN metastases compared with primary tissues. Besides, the methylation level of the TET1 promoter was increased significantly in LN metastases. Taken together, these findings indicate that promoter hypermethylation may contribute to the downregulation of TET1 and could be used as a promising marker for diagnosis in patients with breast cancer metastasis.
Positive Association of Human SHC3 Gene with Schizophrenia in a Northeast Chinese Han Population
Ye Lv,Yang Sun,Guan-Yu Wang,Jian Yin,Cheng-Jie Li,Yi-Yang Luo,Zhi-Lin Luan 대한신경정신의학회 2020 PSYCHIATRY INVESTIGATION Vol.17 No.9
Objective Schizophrenia is one of the most devastating neuropsychiatric disorders. Genetic epidemiological studies have confirmed that schizophrenia is a genetic disease. Genes promoting neurodevelopment may be potential candidates for schizophrenia. As an adaptor linking a number of tyrosine kinase receptors in multiple intracellular signaling cascades, Src homology 2 domain containing transforming protein 3 (SHC3) is a member of the Shc-like adaptor protein family, and expressed predominantly in the mature neurons of the central nervous system (CNS). In the present study, we aimed to investigate the association of SHC3 and schizophrenia. Methods An independent case-control association study was performed in a sample including 710 schizophrenia patients and 1314 healthy controls from a Northeast Chinese Han population. Results The allelic and genotypic association analyses showed that four SNPs in SHC3 significantly associated with schizophrenia(rs2316280, rs4877041, rs944485 and rs7021743). The haplotype composing of these four SNPs also showed significantly individual and global association with schizophrenia. Conclusion Our present results suggest SHC3 as a susceptibility gene for schizophrenia.
Wen-Yi Zhang,Xin-Ze Xiao,Chao Lv,Jia Zhao,Gong Wang,Xuan Gu,Ran Zhang,Bin-Bin Xu,Dan-Dan Zhang,Ai-Wu Li,Yong-Lai Zhang,Hong-Bo Sun 한국고분자학회 2013 Macromolecular Research Vol.21 No.3
Reported here is the fabrication of photopolymer hierarchical micronanostructures through a combinative process of electrospinning and subsequent photolithography. Electrospun SU-8 (epoxy-based negative photoresist)nanofiber films have been patterned into gratings with periods of 100, 200, 300, and 400 μm, respectively. Deposition of a silver nanolayer on these interlaced nanofiber films would lead to the formation of various plasmonic nanostructures,and therefore, giving rise to abundant surface-enhanced Raman scattering (SERS) “hot spots”. In the detection of Rhodamine 6G (R6G), probing molecule, the resultant SERS substrates show both high sensitivity and good reproducibility. The SERS enhancement factor could reach as high as ~108, indicating high efficiency. The fabrication of patterned, highly efficient SERS substrates may hold a great promise for the integration of SERS substrates in various microdevices such as microfluidic chips.
Clinical Relation Extraction with Deep Learning
Xinbo Lv,Yi Guan,Jinfeng Yang,Jiawei Wu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7
Relations between medical concepts convey meaningful medical knowledge and patients’ health information. Relation extraction on Clinical texts is an important task of information extraction in clinical domain, and is the key step of building medical knowledge graph. In this research, the task of relation extraction is based on the task of concept recognition and is implemented as relation classification by the adoption of a CRF model. The proposed CRF-powered classification model depends on features of context of concepts. To remedy the problem of word sparsity, a deep learning model is applied for features optimization by the employment of auto encoder and sparsity limitation. The proposed model is validated on the data set of I2B2 2010. The experiments give the evidence that the proposed model is effective and the method of features optimization with the deep learning model shows the great potential.