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Nanocomposites of Polypropylene and Halloysite Nanotubes Prepared by a Novel Vane Mixer
Xiaochun Yin,Sai Li,Liang Wang,Guangjian He,Zhitao Yang 한국고분자학회 2017 폴리머 Vol.41 No.2
Halloysite nanotubes (HNTs) were used to prepare polypropylene (PP) nanocomposites through a novel vane mixer. The effects of melt blend time and halloysite content on properties of composites were investigated. SEM analysis was performed to show that HNTs were well dispersed in PP matrix with the increase of mixing time. DSC showed both the degree of crystallinity and crystallization temperature increased due to the introduction of HNTs into PP, which indicating a potential nucleation effect induced by the nanotubes. TGA illustrated that the presence of HNTs had two opposite effects on the thermal behavior. A surface catalytic action of the halloysite speeded up thermal degradation of PP. However, this effect was reduced with improved HNTs dispersion. Rheological investigations revealed that rheological properties were significantly increased by the addition of low fraction of halloysite to PP. The 2 wt% HNTs nanocomposites reached maximum tensile strength because HNTs dispersed evenly in PP.
클라우드 컴퓨팅에서 ECC 암호를 적용한 안전한 데이터 스토리지 스킴
은효춘 ( Xiaochun Yin ),논티라난 ( Non Thiranant ),이훈재 ( Hoonjae Lee ) 한국인터넷정보학회 2014 인터넷정보학회논문지 Vol.15 No.2
인터넷의 빠른 발전과 더불어 클라우드 컴퓨팅 기술은 가장 기술개발이 시급한 분야가 되고 있다. 클라우드 컴퓨팅은 고객들이 인터넷을 통하여 가상 자원을 제공받게 되며, 가장 시급하게 해결해야할 문제 중의 하나로 클라우드 스토리지를 들 수 있다. 클라우드 컴퓨팅분야의 급격한 증가는 클라우드 스토리지에서 심각한 보안문제를 불러일으키고 있다. 본 논문에서는 인터넷을 통하여 안전하게 데이터를 저장할 수 있고 보안 접근통제가 가능하고 또한 안전하지 않은 인터넷을 통하여 안전하게 다중 사용자끼리 데이터를 공유할 수 있는 스킴을 제안한다. 데이터 스토리지 보안 스킴의 효율을 높이기 위하여 ECC 암호를 데이터 보호 및 인증과정에서 적용한다. With the fast development of internet, cloud computing has become the most demanded technology used all over the world. Cloud computing facilitates its consumers by providing virtual resources via internet. One of the prominent services offered in cloud computing is cloud storage. The rapid growth of cloud computing also increases severe security concerns to cloud storage. In this paper, we propose a scheme which allows users not only securely store and access data in the cloud, but also share data with multiple users in a secured way via unsecured internet. We use ECC for cryptography and authentication operation which makes the scheme work in a more efficient way.
Jiayi Wu,Shuning Ding,Linling Yin,Xiaochun Fei,Caijin Lin,Lisa Andriani,Chihwan Goh,Jiahui Huang,Jin Hong,Weiqi Gao,Siji Zhu,Hui Wang,Ou Huang,Xiaosong Chen,Jianrong He,Yafen Li,Kunwei Shen,Weiguo Che 대한암학회 2020 Cancer Research and Treatment Vol.52 No.3
Purpose This retrospective study aimed to evaluate the distribution pattern and prognostic value of 21-gene recurrence score (RS) in Chinese patients with mucinous breast cancer (MC) and compared with infiltrating ductal carcinoma (IDC). Materials and Methods Patients diagnosed with MC or IDC from January 2010 to January 2017 were retrospectively recruited. Reverse transcriptase–polymerase chain reaction assay of 21 genes was conducted to calculate the RS. Univariate and multivariate analyses were performed to assess the association between RS and clinicopathological factors. Survival outcomes including disease-free survival (DFS) and overall survival (OS) were estimated by Kaplan-Meier method and compared by log-rank test. Results The MC cohort included 128 patients and the IDC cohort included 707 patients. The proportions of patients with a low (RS < 18), intermediate (18-30), or high risk (RS > 30) were 32.0%, 48.4%, and 19.5% in MC cohort, and 26.9%, 46.8% and 26.3% in IDC cohort. The distribution of RS varied significantly according to different Ki-67 index and molecular subtype in both cohorts. Moreover, the receipt of chemotherapy was associated with RS in both cohorts. Among patients with MC, tumor stage was related to the DFS (p=0.040). No significant differences in DFS and OS were found among MC patients in different RS risk groups (OS, p=0.695; DFS, p=0.926). Conclusion RS was significantly related to Ki-67 index and molecular subtypes in MC patients, which is similar in IDC patients. However, RS was not able to predict DFS and OS in patients with MC.