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Chen, Jian,Chen, Jie,Ding, Hong-Yan,Pan, Qin-Shi,Hong, Wan-Dong,Xu, Gang,Yu, Fang-You,Wang, Yu-Min Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.12
Background: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model analysis, retrospective analysis, and so on, but the results are inconsistent. Materials and Methods: A total of 696 patients with lung cancer were enrolled. The factors were compared employing Student's t-test or the Mann-Whitney test or the Chi-square test and variables that were significantly related to the presence of deep fungal infection selected as candidates for input into the final artificial neural network analysis (ANN) model. The receiver operating characteristic (ROC) and area under curve (AUC) were used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. Results: The prevalence of deep fungal infection from lung cancer in this entire study population was 32.04%(223/696), deep fungal infections occur in sputum specimens 44.05%(200/454). The ratio of candida albicans was 86.99% (194/223) in the total fungi. It was demonstrated that older (${\geq}65$ years), use of antibiotics, low serum albumin concentrations (${\leq}37.18g/L$), radiotherapy, surgery, low hemoglobin hyperlipidemia (${\leq}93.67g/L$), long time of hospitalization (${\geq}14$days) were apt to deep fungal infection and the ANN model consisted of the seven factors. The AUC of ANN model($0.829{\pm}0.019$)was higher than that of LR model ($0.756{\pm}0.021$). Conclusions: The artificial neural network model with variables consisting of age, use of antibiotics, serum albumin concentrations, received radiotherapy, received surgery, hemoglobin, time of hospitalization should be useful for predicting the deep fungal infection in lung cancer.
Deuterium Clusters Fusion Induced by the Intense Femtosecond Laser Pulse
Hong-Jie, Liu,Zhi-Jian, Zheng,Yu-Qiu, Gu,Bao-Han, Zhang,Yong-Joo, Rhee,Sung-Mo, Nam,Jae-Min, Han,Yong-Woo, Rhee,Kwon-Hae, Yea,Jia-Bin, Chen,Hong-Bin, Wang,Chun-Ye, Jiao,Ying-Ling, He,Tian-Shu, Wen,Xia ALLERTON PRESS INC 2007 CHINESE PHYSICS LETTERS Vol.24 No.2
<P>Neutrons (2.45 MeV) from deuterium cluster fusion induced by the intense femtosecond (30 fs) laser pulse are experimentally demonstrated. The average neutron yield 10<SUP>3</SUP> per shot is obtained. It is found that the yield slightly increases with the increasing laser spot size. No neutron can be observed when the laser intensity I < 4.3×10<SUP>15</SUP> W/cm<SUP>2</SUP>.</P>
Hong-Lin Xu,Guang-Hong Chen,Yu-Ting Wu,Ling-Peng Xie,Zhang-Bin Tan,Bin Liu,Hui-Jie Fan,Hong-Mei Chen,Gui-Qiong Huang,Min Liu,Ying-Chun Zhou 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.1
Background: Panax ginseng Meyer (P. ginseng), a herb distributed in Korea, China and Japan, exerts benefits on diverse inflammatory conditions. However, the underlying mechanism and active ingredients remains largely unclear. Herein, we aimed to explore the active ingredients of P. ginseng against inflammation and elucidate underlying mechanisms. Methods: Inflammation model was constructed by lipopolysaccharide (LPS) in C57BL/6 mice and RAW264.7 macrophages. Molecular docking, molecular dynamics, surface plasmon resonance imaging (SPRi) and immunofluorescence were utilized to predict active component. Results: P. ginseng significantly inhibited LPS-induced lung injury and the expression of proinflammatory factors, including TNF-a, IL-6 and IL-1b. Additionally, P. ginseng blocked fluorescence-labeled LPS (LPS488) binding to the membranes of RAW264.7 macrophages, the phosphorylation of nuclear factor-kB (NF-kB) and mitogen-activated protein kinases (MAPKs). Furthermore, molecular docking demonstrated that ginsenoside Ro (GRo) docked into the LPS binding site of toll like receptor 4 (TLR4)/myeloid differentiation factor 2 (MD2) complex. Molecular dynamic simulations showed that the MD2-GRo binding conformation was stable. SPRi demonstrated an excellent interaction between TLR4/MD2 complex and GRo (KD value of 1.16 × 10<SUP>-9</SUP> M). GRo significantly inhibited LPS488 binding to cell membranes. Further studies showed that GRo markedly suppressed LPS-triggered lung injury, the transcription and secretion levels of TNF-α, IL-6 and IL-1β. Moreover, the phosphorylation of NF-kB and MAPKs as well as the p65 subunit nuclear translocation were inhibited by GRo dose-dependently. Conclusion: Our results suggest that GRo exerts anti-inflammation actions by direct inhibition of TLR4 signaling pathway.
A Secret Sharing Scheme Based on AES
Jie Cui,Lei Chen,Yiming Zhang,Zhiqiang Xie,Hong Zhong 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6
In order to solve the key setting difficulty and the key security problem in the file encryption, key distributed storage technology may be a proper choice to help improve the safety of the key. In the paper, a novel secret sharing scheme is proposed by AES encryption algorithm for file confidentiality, dynamic key generation mechanism to generate keys, multi-secret-sharing ideas on key pre-treatment, using Shamir threshold scheme for secret dispersed storage. Finally, a few tests are carried out and the test results suggest that the efficiency of the whole scheme is good.
Association of XRCC3 Thr241Met Polymorphisms and Gliomas Risk: Evidence from a Meta-analysis
Liang, Hong-Jie,Yan, Yu-Lan,Liu, Zhi-Ming,Chen, Xu,Peng, Qi-Liu,Wang, Jian,Mo, Cui-Ju,Sui, Jing-Zhe,Wu, Jun-Rong,Zhai, Li-Min,Yang, Shi,Li, Tai-Jie,Li, Ruo-Lin,Li, Shan,Qin, Xue Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.7
The relationship between the X-ray repair cross-complementing group 3 (XRCC3) Thr241Met polymorphism and gliomas remains inclusive or controversial. For better understanding of the effect of XRCC3 Thr241Met polymorphism on glioma risk, a meta-analysis was performed. All eligible studies were identified through a search of PubMed, Elsevier Science Direct, Excerpta Medica Database (Embase) and Chinese Biomedical Literature Database (CBM) before May 2013. The association between the XRCC3 Thr241Met polymorphism and gliomas risk was conducted by odds ratios (ORs) and 95% confidence intervals (95% CIs). A total of nine case-control studies including 3,533 cases and 4,696 controls were eventually collected. Overall, we found that XRCC3 Thr241Met polymorphism was significantly associated with the risk of gliomas (T vs. C: OR=1.10, 95%CI=1.01-1.20, P=0.034; TT vs. CC: OR=1.30, 95%CI=1.03-1.65, P=0.027; TT vs. TC/CC: OR=1.29, 95%CI=1.01-1.64, P=0.039). In the subgroup analysis based on ethnicity, the significant association was found in Asian under four models (T vs. C: OR=1.17, 95%CI=1.07-1.28, P=0.00; TT vs. CC: OR=1.79, 95%CI=1.36-2.36, P=0.00; TT vs. TC/CC: OR=1.75, 95%CI=1.32-2.32, P=0.00; TT/TC vs. CC: OR=1.11,95% CI=1.02-1.20). This meta-analysis suggested that the XRCC3 Thr241Met polymorphism is a risk factor for gliomas, especially for Asians. Considering the limited sample size and ethnicities included in the meta-analysis, further large scale and well-designed studies are needed to confirm our results.
Liu Xuemei,Min Jie,She Bin,Chen Yang,Li Jun,Huang Lei,Chen Ju,Luo Ai,Mei Yang,Li Ting,Wu Yanqing,Chen Daohong,Hongli Zhong,Liu Wei,Mao Bing,Jiang Hongli 한국한의학연구원 2023 Integrative Medicine Research Vol.12 No.3
Background: Binafuxi granules are a traditional Uighur medicine (TUM) for treating the common cold with fever. However, high-quality clinical studies supporting its efficacy and safety are lacking. Methods: In this multicenter, randomized, double-blind, placebo-controlled, phase II clinical trial, patients with common cold and fever were randomly assigned to a high-dose group, low-dose group, and placebo group in a 1:1:1 ratio. Outcomes were time to fever relief, time to fever clearance, proportion of afebrile patients, time to symptom disappearance, rate of symptom disappearance, effective rate, emergency drug usage and safety assessment. Results: A total of 235 patients were recruited. Of these, 234 were included in the full analysis set (FAS), and 217 were included in the per-protocol set (PPS). In the FAS analysis, the median time to fever relief was 6.00 h, 5.54 h and 10.65 h (P = 0.31) in the high-dose group, low-dose group and placebo group, respectively. The median time to fever clearance was 18.29 h, 20.08 h and 25.00 h (P = 0.0018), respectively, and the proportion of afebrile patients was 92.4%, 89.7% and 71.4% (P = 0.0002), respectively. There was a significant difference in the disappearance time and disappearance rate of all symptoms and of individual symptoms. No serious adverse events were found. Conclusions: Binafuxi granules can dose-dependently shorten the fever course and improve clinical symptoms in patients suffering from the common cold with fever.
Comparison of multiaxial fatigue damage models under variable amplitude loading
Hong Chen,De-Guang Shang,Yu-Jie Tian,Jian-Zhong Liu 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.11
Based on the cycle counting method of Wang and Brown and on the linear accumulation damage rule of Miner, four multiaxial fatigue damage models without any weight factors proposed by Pan et al., Varvani-Farahani, Shang and Wang, and Shang et al. are used to compute fatigue damage. The procedure is evaluated using the low cycle fatigue experimental data of 7050-T7451 aluminum alloy and En15R steel under tension/torsion variable amplitude loading. The results reveal that the procedure is convenient for engineering design and application, and that the four multiaxial fatigue damage models provide good life estimates.
Chen, Hai-Fei,Li, Zheng-Yang,Tang, Jie-Qing,Shen, Hong-Shi,Cui, Qing-Ya,Ren, Yong-Ya,Qin, Long-Mei,Jin, Ling-Juan,Zhu, Jing-Jing,Wang, Jing,Ding, Jie,Wang, Ke-Yuan,Yu, Zi-Qiang,Wang, Zhao-Yue,Wu, Tian Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.9
Objective: To investigate the relationship between the efficacy and safety of different doses of thalidomide (Thal) plus dexamethasone (Dex) as the initial therapy in elderly patients with newly diagnosed multiple myeloma (MM). Methods: Clinical data of 28 elderly patients with newly diagnosed MM who underwent the TD regimen as the initial therapy were analyzed retrospectively. The patients were divided into two groups according to the maximal sustained dose of Thal: lower dose (group A) and higher dose (group B). The overall response rate (ORR), progression free survival (PFS), overall survival (OS), and adverse events (AES) were compared between the two groups. Results: A total of 28 patients were followed up with a median of 18 months. The ORR was 60.1%. The median response time and PFS were 2.0 and 17.0 months, respectively. The mean sustained dose of Thal in group B was significantly higher than group A (292.9 mg v 180.4 mg, P=0.01). There was no significantly difference in ORR (57.1% v 64.3%, P=1.00) and PFS (9.63months v 17.66 months, P=0.73) between groups A and B. During the follow up, only five patients died (<40%) and, therefore, median OS values were not available. It is estimated, however, that the mean survival time in the two groups was 35.6 and 33.4 months (P>0.05), respectively. All of the patients tolerated the treatment well. The incidence of AES in patients with a grading above 3 in group B was significantly higher than in group A (P=0.033). Conclusions: The TD regimen results in a high response rate and manageable AES as the initial therapy in elderly patients with MM. TD should be considered as the front line regimen for the treatment of elderly patients with MM in areas with financial constraints. The clinical response can be achieved at a low dose Thal with minimal toxicity.
Chen, Jie,Pan, Qin-Shi,Hong, Wan-Dong,Pan, Jingye,Zhang, Wen-Hui,Xu, Gang,Wang, Yu-Min Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13
Statistical methods to analyze and predict the related risk factors of nosocomial infection in lung cancer patients are various, but the results are inconsistent. A total of 609 patients with lung cancer were enrolled to allow factor comparison using Student's t-test or the Mann-Whitney test or the Chi-square test. Variables that were significantly related to the presence of nosocomial infection were selected as candidates for input into the final ANN model. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. The prevalence of nosocomial infection from lung cancer in this entire study population was 20.1% (165/609), nosocomial infections occurring in sputum specimens (85.5%), followed by blood (6.73%), urine (6.0%) and pleural effusions (1.82%). It was shown that long term hospitalization (${\geq}22days$, P= 0.000), poor clinical stage (IIIb and IV stage, P=0.002), older age (${\geq}61days$ old, P=0.023), and use the hormones were linked to nosocomial infection and the ANN model consisted of these four factors. The artificial neural network model with variables consisting of age, clinical stage, time of hospitalization, and use of hormones should be useful for predicting nosocomial infection in lung cancer cases.