Outcomes of Laparoscopic Abdominoperineal Resection in Low Rectal Cancer Using Different Pelvic Drainages

Chen, Yu-Sheng,Bo, Xiao-Bo,Gu, Da-Yong,Gao, Wei-Dong,Sheng, Wei-Zhong,Zhang, Bo Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.1

Background: The aim of this study was to establish the feasibility and efficiency of different pelvic drainage routes after laparoscopic abdominoperineal resection (LAPR) for rectal cancer by assessing short-term outcomes. Materials and Methods: Clinicopathological data of 76 patients undergoing LAPR for very low rectal cancer were reviewed retrospectively between June 2005 and June 2014. Outcomes were evaluated considering short-term results. Results: Of 76 relevant patients at our institution in the period of study, trans-perineal drainage of the pelvic cavity was performed in 17 cases. Compared with the trans-perineal group, the length of hospital stay was shorter in the trans-abdominal group, while the duration of drainage and the infection rates of the perineal wounds between two groups showed no significant differences. Conclusions: The outcomes of this study suggest that trans-abdominal drainage of pelvic cavity is a reliable and feasible procedure, the duration of drainage, infection rates and the healing rates of the perineal wounds being acceptable. Trans-abdominal drainage has a more satisfactory effect after laparoscopic abdominoperineal resection for rectal carcinoma.

Association of Lipoprotein-Associated Phospholipase A_2 with Characteristics of Vulnerable Coronary Atherosclerotic Plaques

Yu-Sheng Liu,Qing-Hua Lu,Xiao-Bo Hu,Hong-Zhuan Li,Wei-Dong Jiang,Xin Wang,Hao Lin,Ai-Qiong Qin,Yong-Mei Wang,Tong Zhao,Zhao-Qiang Dong,Mei Zhang 연세대학교의과대학 2011 Yonsei medical journal Vol.52 No.6

Purpose: Lipoprotein-associated phospholipase A2 (Lp-PLA_2) is an inflammatory enzyme expressed in atherosclerotic plaques. We investigated the association of circulating Lp-PLA_2 with characteristics of vulnerable coronary atherosclerotic plaques. Materials and Methods: We recruited 113 patients with either unstable angina (UA, n=59) and stable angina (SA, n=54) by coronary angiography. Thirty-six healthy subjects served as controls. Intravascular ultrasound (IVUS) was used to evaluate the characteristics of coronary atherosclerotic plaque, and serum Lp-PLA2 concentration was measured as well. Results: Lp-PLA_2 concentration was significantly higher in both UA and SA patients [(396±36) μg/L and (321±39) μg/L, respectively]compared with the controls [(127±49) μg/L, p<0.01], and higher in UA than SA group. IVUS findings showed that remodeling index (RI) (0.91±0.15 vs. 0.85±0.11, p=0.005) and eccentricity index (EI) (0.73±0.16 vs. 0.65±0.22, p=0.039) were larger in UA than in SA group, and fibrous caps were thicker in SA than UA group [(0.91±0.23) mm vs. (0.63±0.21) mm, p=0.032]. Moreover, Lp-PLA_2 correlated positively with EI (r=0.439, p<0.01) and RI (r=0.592, p<0.05) in UA group. There was an inverse relationship between Lp-PLA_2 and fibrous cap thickness in both UA (r=-0.587, p<0.001) and SA (r=-0.318, p<0.05) groups. The independent risk factors in UA group were Lp-PLA_2 (OR=1.055, 95% CI: 1.03-1.08, p=0.013), LDL-cholesterol (OR=0.032, 95% CI: 0.00-0.05, p=0.041) and fibrous cap thickness (OR=0.008, 95% CI: 0.00-0.45, p=0.019). Lp-PLA_2 was strongly associated with both EI and fibrous cap thickness in both groups. Conclusion: Serum level of Lp-PLA_2 is associated with both eccentricity index and fibrous cap thickness in both UA and SA groups. Elevated levels of circulating Lp-PLA_2 might to be a strong risk factor and more serious for unstable angina than stable angina.

Competitive Influence Maximization on Online Social Networks under Cost Constraint

( Bo-lun Chen ),( Yi-yun Sheng ),( Min Ji ),( Ji-wei Liu ),( Yong-tao Yu ),( Yue Zhang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.4

In online competitive social networks, each user can be influenced by different competing influencers and consequently chooses different products. But their interest may change over time and may have swings between different products. The existing influence spreading models seldom take into account the time-related shifts. This paper proposes a minimum cost influence maximization algorithm based on the competitive transition probability. In the model, we set a one-dimensional vector for each node to record the probability that the node chooses each different competing influencer. In the process of propagation, the influence maximization on Competitive Linear Threshold (IMCLT) spreading model is proposed. This model does not determine by which competing influencer the node is activated, but sets different weights for all competing influencers. In the process of spreading, we select the seed nodes according to the cost function of each node, and evaluate the final influence based on the competitive transition probability. Experiments on different datasets show that the proposed minimum cost competitive influence maximization algorithm based on IMCLT spreading model has excellent performance compared with other methods, and the computational performance of the method is also reasonable.

Professionals’ experiences and attitudes toward use of Traditional Chinese Medicine in hospice palliative inpatient care units: A multicenter survey in Taiwan

Yu-Jia Lin,Hsiao-Ting Chang,Ming-Hwai Lin,Ru-Yih Chen,Ping-Jen Chen,Wen-Yuan Lin,Jyh-Gang Hsieh,Ying-Wei Wang,Chung-Chieh Hu,Yi-Sheng Liou,Tai-Yuan Chiu,Chun-Yi Tu,Yi-Jen Wang,Bo-Ren Cheng,Tzeng-Ji Ch 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.2

Background: Medical staff may have difficulties in using conventional medicine to manage symptoms among terminally ill patients, including adverse effects of the treatment. Traditional Chinese medicine (TCM) is regarded as a complementary or alternative medicine, and has been increasingly used in the field of palliative medicine in recent years. This study aimed to investigate the experiences of and attitudes toward using TCM among palliative care professionals, and to provide preliminary information about its use in palliative care. Methods: This was a cross-sectional survey study conducted in eight inpatient hospice wards in Taiwan between December 2014 and February 2016. The questionnaire was self-administered, and was analyzed with descriptive statistics including Pearson’s Chi-square test and Fisher’s exact test. Results: A total of 251 palliative care professionals responded to the questionnaire, of whom 89.7% and 88.9% believed that the use of TCM could improve the physical symptoms and quality of life in terminally ill patients, respectively. Overall, 59.8%, of respondents suggested that TCM had rare side effects, and 58.2% were worried that TCM could affect the liver and kidney function of patients. In total, 89.7% and 88.0% of professionals agreed there were no suitable clinical practice guidelines and educational programs, respectively, for TCM use in palliative care. Conclusions: Most of the respondents agreed there was insufficient knowledge, skills-training, and continuing education on the use of TCM in terminally ill patients in Taiwan. These results show that to address patient safety considerations, guidelines about use of TCM in palliative care should be established.

Nano-Actuator Based High Performance Head-Disk Systems

Bo Liu,Chee-How Wong,Wei Hua,Sheng-Kai Yu 한국자기학회 2007 한국자기학회 학술연구발표회 논문개요집 Vol.- No.-

An Efficient Response Distribution Function for 3D MIMO Channel Modeling from a Scatterer View

Sheng Deng,Yuhao Wang,Jiangnan Yu,Henry Leung,Huilin Zhou,Bo Kong 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.10

A Radio Environment Map (REM) maps its geolocation information to the propagation characteristics as complementary information for an adaptive communication of cognitive radio (CR). In this paper we propose a novel theoretical three dimension (3D) Multiple Input Multiple Output (MIMO) channel model. The proposed model parameterizes the geolocation information of interacting obstacles referred as scatterers. An efficient response distribution function (ERDF) is developed to interpolate the array response for an arbitrary scatterer location. It is shown that the mutual information of the proposed model is consistent with a conventional geometry-based model with the lower simulation time. It allows us to generate channels with all possible scatterer distribution on the surface of a building effectively.

Adenoviral Vector Mediates High Expression Levels of Human Lactoferrin in the Milk of Rabbits

( Zeng Sheng Han ),( Qing Wang Li ),( Zhi Ying Zhang ),( Yong Sheng Yu ),( Bo Xiao ),( Shu Yun Wu ),( Zhong Liang Jiang ),( Hong Wei Zhao ),( Rui Zhao ),( Jian Li ) 한국미생물 · 생명공학회 2008 Journal of microbiology and biotechnology Vol.18 No.1

The limitations in current technology for generating transgenic animals, such as the time and the expense, hampered its extensive use in recombinant protein production for therapeutic purpose. In this report, we present a simple and less expensive alternative by directly infusing a recombinant adenovirus vector carrying human lactoferrin cDNA into rabbit mammary glands. The milk serum was collected from the infected mammary gland 48 h post-infection and subjected to a 10% SDS-PAGE and Western blotting. An 80-kDa protein was visualized after viral vector infection. With this method, we obtained a high level of expressed human lactoferrin of up to 2.3 mg/ml in the milk. Taken together, the method is useful for the transient high-level expression recombinant proteins, and the approach established here is probably one of the most economical and efficient ways for large-scale production of recombinant proteins of biopharmaceutical interest.

Caffeine-induced endothelial cell death and the inhibition of angiogenesis

Hua Li,Sheng-Yu Jin,Hyun-Joon Son,Je Hoon Seo,Goo-Bo Jeong 대한해부학회 2013 Anatomy & Cell Biology Vol.46 No.1

Numerous studies have shown that adenosine or adenosine agonists can stimulate angiogenesis. However, the effect of caffeine (a known adenosine receptor antagonist) on angiogenesis has not been previously studied. Accordingly, this study was undertaken to examine the effect of caffeine on angiogenesis and to clarify the mechanism involved. Chick chorioallantoic membrane assays were used to investigate the effect of caffeine on angiogenesis and proliferation assays using human umbilical vein endothelial cells (HUVECs), were used to study its effects on specific aspects of angiogenesis. The expressions of caspase-3 and Bcl-2 were examined by western blotting, immunofluorescence staining was used to identify HUVEC morphological changes, and fluorescence activated cell sorting (FACS) and DAPI staining were used to detect HUVEC apoptosis. Caffeine was found to inhibit blood vessel formation dose-dependently and to inhibit the proliferation of HUVECs time- and dosedependently. FACS analysis and DAPI staining showed that inhibitory effect of caffeine on HUVEC proliferation was the result of apoptosis and the up-regulation of thrombospondin-1 (TSP-1). Furthermore, TSP-1 levels were down-regulated by NECA but were unaffected by CGS21680, indicating that caffeine regulated TSP-1 expression via adenosine A2B receptor. In addition, caffeine up-regulated caspase-3 and down-regulated Bcl-2 at the protein level. These results suggest that the inhibitory effect of caffeine on angiogenesis is associated, at least in part, with its induction of endothelial cell apoptosis, probably mediated by a caspase-3 dependent mechanism.

Effective Antiviral Activity of the Tyrosine Kinase Inhibitor Sunitinib Malate against Zika Virus

Lin Chen-Sheng,Huang Su-Hua,Yan Bo-Yu,Lai Hsueh-Chou,Lin Cheng-Wen 대한감염학회 2021 Infection and Chemotherapy Vol.53 No.4

Introduction: Zika virus (ZIKV), a mosquito-borne flavivirus, causes the outbreaks of Latin America in 2015 - 2016, with the incidence of neurological complications. Sunitinib malate, an orally bioavailable malate salt of the tyrosine kinase inhibitor, is suggested as a broadspectrum antiviral agent against emerging viruses like severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2. Materials and Methods: This study investigated the antiviral efficacy and antiviral mechanisms of sunitinib malate against ZIKV infection using cytopathic effect reduction, virus yield, and time-of-addition assays. Results: Sunitinib malate concentration-dependently reduced ZIKV-induced cytopathic effect, the expression of viral proteins, and ZIKV yield in supernatant with 50% inhibitory concentration (IC50) value of 0.015 μM, and the selectivity index of greater than 100 against ZIKV infection, respectively. Sunitinib malate had multiple antiviral actions during entry and post-entry stages of ZIKV replication. Sunitinib malate treatment at entry stage significantly reduced the levels of ZIKV RNA replication with the reduction of (+) RNA to (-) RNA ratio and the production of new intracellular infectious particles in infected cells. The treatment at post-entry stage caused a concentration-dependent increase in the levels of ZIKV (+) RNA and (-) RNA in infected cells, along with enlarging the ratio of (+) RNA to (-) RNA, but caused a pointed increase in the titer of intracellular infectious particles by 0.01 and 0.1 μM, and a substantial decrease in the titer of intracellular infectious particles by 1 μM. Conclusion: The study discovered the antiviral actions of sunitinib malate against ZIKV infection, demonstrating a repurposed, host-targeted approach to identify potential antiviral drugs for treating emerging and global viral diseases.

Deep Learning in Drebin: Android malware Image Texture Median Filter Analysis and Detection

( Luo Shi-qi ),( Ni Bo ),( Jiang Ping ),( Tian Sheng-wei ),( Yu Long ),( Wang Rui-jin ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.7

This paper proposes an Image Texture Median Filter (ITMF) to analyze and detect Android malware on Drebin datasetsMedian Filter (MF) to reflect the similarity of the malware binary file block. At the same time, using the MAEVS (Malware Activity Embedding in Vector Space) to reflect the potential dynamic activity of malware. In order to ensure the improvement of the classification accuracy, the above-mentioned features(ITMF feature and MAEVS feature)are studied to train Restricted Boltzmann Machine (RBM) and Back Propagation (BP). The experimental results show that the model has an average accuracy rate of 95.43% 1. We design a model of “ITMF” combined with Image Processing of with few false alarms. to Android malicious code, which is significantly higher than 95.2% of without ITMF, 93.8% of shallow machine learning model SVM, 94.8% of KNN, 94.6% of ANN.