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- 저자 : Hu Fan Jin (검색결과 25 건)
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Attributable Causes of Liver Cancer Mortality and Incidence in China
Fan, Jin-Hu,Wang, Jian-Bing,Jiang, Yong,Xiang, Wang,Liang, Hao,Wei, Wen-Qiang,Qiao, You-Lin,Boffetta, Paolo Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12
Objectives: To estimate the proportion of liver cancer cases and deaths due to infection with hepatitis B virus (HBV), hepatitis C virus (HCV), aflatoxin exposure, alcohol drinking and smoking in China in 2005. Study design: Systemic assessment of the burden of five modifiable risk factors on the occurrence of liver cancer in China using the population attributable fraction. Methods: We estimated the population attributable fraction of liver cancer caused by five modifiable risk factors using the prevalence data around 1990 and data on relative risks from meta-analyses, and large-scale observational studies. Liver cancer mortality data were from the 3rd National Death Causes Survey, and data on liver cancer incidence were estimated from the mortality data from cancer registries in China and a mortality/incidence ratio calculated. Results: We estimated that HBV infection was responsible for 65.9% of liver cancer deaths in men and 58.4% in women, while HCV was responsible for 27.3% and 28.6% respectively. The fraction of liver cancer deaths attributable to aflatoxin was estimated to be 25.0% for both men and women. Alcohol drinking was responsible for 23.4% of liver cancer deaths in men and 2.2% in women. Smoking was responsible for 18.7% and 1.0%. Overall, 86% of liver cancer mortality and incidence (88% in men and 78% in women) was attributable to these five modifiable risk factors. Conclusions: HBV, HCV, aflatoxin, alcohol drinking and tobacco smoking were responsible for 86% of liver cancer mortality and incidence in China in 2005. Our findings provide useful data for developing guidelines for liver cancer prevention and control in China and other developing countries.
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Improvement of thermal behaviors of biodegradable poly(lactic acid) polymer: A review
Jin, Fan-Long,Hu, Rong-Rong,Park, Soo-Jin Elsevier Science Ltd 2019 Composites Part B, Engineering Vol.164 No.-
<P><B>Abstract</B></P> <P>Owing to its excellent mechanical properties, processability, and biodegradability, poly(lactic acid) (PLA) has been widely investigated in the past few decades as a biomaterial. However, the poor heat resistance of PLA severely limits its applicability. In this review, several heat resistance modification methods, such as nucleating agent addition, fiber reinforcement, compounding, blending, stereoisomer complexation, and chemical modification, have been reviewed and their related mechanisms have been discussed in brief.</P>
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Fracture toughness and surface morphology of polysulfone-modified epoxy resin
Hu Jin,Baoqing Yang,Fan-Long Jin,박수진 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.25 No.-
The thermal stability, fracture toughness, flexural strength, and surface morphology of a polysulfone (PSF)-modified epoxy resin were investigated using several techniques. The thermal stability of the PSF-modified epoxy resin was similar to that of the neat epoxy resin. The flexural strength of the epoxy resin decreased with the addition of the PSF. The fracture toughness of the PSF-modified epoxy resin significantly improved compared to that of the neat epoxy resin. The SEM micrograph of the modified epoxy resin showed a relatively rough surface with shear deformation and tortuous cracks, thereby inducing higher fracture toughness in the PSF-modified epoxy system
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Genome-Wide Association Study of Korean Asthmatics: A Comparison With UK Asthmatics
Jin An,도아라,Kang Hae Yeon,김우진,이상훈,Lee Ji-Hyang,Song Woo-Jung,Kwon Hyouk-Soo,조유숙,문희범,Hu Sile,Adcock Ian M,Chung Kian Fan,Won Sungho,Kim Tae-Bum 대한천식알레르기학회 2021 Allergy, Asthma & Immunology Research Vol.13 No.4
Purpose Although genome-wide association studies (GWASs) represent the most powerful approach for identifying genes that influence asthma, to date, no studies have established genetic susceptibility to asthma in the Korean population. This study aimed to identify genetic variants associated with adult Korean asthmatics and compare them with the significant single nucleotide polymorphisms (SNPs) of UK asthmatics from the UK Biobank. Methods Patients were defined as having asthma if they were diagnosed by a doctor or taking medications for asthma. Controls were defined as individuals without asthma or chronic obstructive pulmonary disease. We performed quality control, genotype imputation, GWAS, and PrediXcan analyses. In the GWAS, a P value of < 5 × 10−8 was considered significant. We compared significant SNPs between Korean and UK patients with asthma. Results A total of 1,386 asthmatic patients and 5,205 controls were analyzed. The SNP rs1770, located near the human leukocyte antigen (HLA)-DQB1, was the most significant SNP (P = 4.5 × 10−10). In comparison with 24 SNPs in a GWAS of UK asthmatics, six SNPs were significant with the same odds ratio (OR) direction, including signals related to type 2 inflammation (e.g., IL1RL1, TSLP, and GATA3) and mucus plugging (e.g., MUC5AC). HLA-DQA1 showed an opposite OR direction. The HLA-DQB1 gene demonstrated significantly imputed mRNA expression in the lung tissue and whole blood. Conclusions The SNP rs1770 of HLA-DQB1 was the most significant in Korean asthmatics. Similarities and discrepancies were found in the genetic variants between Korean and UK asthmatics. GWAS of Korean asthmatics should be replicated and compared with those of GWAS of other ethnicities. Purpose Although genome-wide association studies (GWASs) represent the most powerful approach for identifying genes that influence asthma, to date, no studies have established genetic susceptibility to asthma in the Korean population. This study aimed to identify genetic variants associated with adult Korean asthmatics and compare them with the significant single nucleotide polymorphisms (SNPs) of UK asthmatics from the UK Biobank. Methods Patients were defined as having asthma if they were diagnosed by a doctor or taking medications for asthma. Controls were defined as individuals without asthma or chronic obstructive pulmonary disease. We performed quality control, genotype imputation, GWAS, and PrediXcan analyses. In the GWAS, a P value of < 5 × 10−8 was considered significant. We compared significant SNPs between Korean and UK patients with asthma. Results A total of 1,386 asthmatic patients and 5,205 controls were analyzed. The SNP rs1770, located near the human leukocyte antigen (HLA)-DQB1, was the most significant SNP (P = 4.5 × 10−10). In comparison with 24 SNPs in a GWAS of UK asthmatics, six SNPs were significant with the same odds ratio (OR) direction, including signals related to type 2 inflammation (e.g., IL1RL1, TSLP, and GATA3) and mucus plugging (e.g., MUC5AC). HLA-DQA1 showed an opposite OR direction. The HLA-DQB1 gene demonstrated significantly imputed mRNA expression in the lung tissue and whole blood. Conclusions The SNP rs1770 of HLA-DQB1 was the most significant in Korean asthmatics. Similarities and discrepancies were found in the genetic variants between Korean and UK asthmatics. GWAS of Korean asthmatics should be replicated and compared with those of GWAS of other ethnicities.
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Hu Boran,Gao Jin,Xu Shaochen,Zhu Jiangyu,Fan Xuemei,Zhou Xiaoyan 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.3
The metabolites that provide the aroma and flavor to wine are the products of several influences, such as grape cultivar, geographic location and associated environmental features, viticultural practices, and vinification techniques, which are central to production protocols, quality evaluation and development of wine regions. Accordingly, we initiated the requisite studies to investigate the differences in the dry red wine metabolites of different grape varieties. The proton-nuclear magnetic resonance technique (1H-NMR) combined with multivariate statistical analysis was used to investigate the changes of metabolite levels in Cabernet Sauvignon, Merlot and Cabernet Gernischt dry red wines vinified in Changli, Hebei province, China, in 2017. The results showed that the types of metabolites in different varieties of dry red wines were similar, but the content was significantly different. The main contributors to the differences in Cabernet Sauvignon, Merlot and Cabernet Gernischt dry red wines were ethyl acetate, lactic acid, alanine, succinic acid, proline, malic acid, and gallic acid, indicating 1H-NMR method combined with multivariate statistical analysis can distinguish these three types of dry red wines from each other. It provides a benchmark for further comparative study on wine quality and the verification of wine authenticity.
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Fan-Long Jin,Rong-Rong Hu,박수진 한국화학공학회 2020 Korean Journal of Chemical Engineering Vol.37 No.5
The surface of silicon dioxide (SiO2) nanoparticles was treated with oleic acid, and the resulting surface properties were characterized. Bio-based poly(lactic acid) (PLA)/poly(butylene succinate)/SiO2 nanocomposites were fabricated via solution blending. The influence of the SiO2 content on the thermal stability, flexural properties, impact strength, and morphology of the prepared nanocomposites was investigated using several techniques. The impact strength of the nanocomposites with surface treated SiO2 (O-SiO2) nanoparticles substantially increased with increasing O-SiO2 content from 0 to 3wt%. Scanning electron microscopy imaging revealed that the nanocomposites with OSiO2 nanoparticles exhibited numerous tortuous cracks and ridges, indicating ductile deformation prior to fracturing.
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A Novel Extreme Learning Machine based Denoising Algorithm
Zhiyong Fan,Quansen Sun,Feng Ruan,Kai Hu,Jin Wang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.2
We introduce a fast and effective algorithm extreme learning machine (ELM) and apply it to image denoising. GA-ELM algorithm we proposed uses genetic algorithm(GA) to decide weights and bias in the ELM. It has better global optimal characteristics than traditional optimal ELM algorithm. In this paper, we used GA-ELM to do image denosing researching work. Firstly, this paper uses training samples to train GA-ELM as the noise detector. Then, we utilize the well-trained GA-ELM to recognize noise pixels in target image. And at last, an adaptive weighted average algorithm is used to recover noise pixels recognized by GA-ELM. Experiment data shows that this algorithm has better performance than other denosing algorithm.
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