Search

Your search keyword '"Jin Zhong"' showing total 212 results
Start Over Author "Jin Zhong" Publisher wiley
212 results on '"Jin Zhong"'

1. Improve conservation voltage regulation effects by integrating more distributed renewable generations

Author

Ang Li and Jin Zhong

Subjects
conservation voltage regulation, multivariate Gaussian mixture model, renewable energy source planning, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
Abstract

Abstract Due to intermittent renewable energy and fluctuating load demand, distribution networks with renewable distributed generation (DG) installations are more likely to suffer voltage issues and significant power losses. The performance of conservation voltage regulation (CVR) schemes may be adversely affected by the undesirable voltage profile at specific nodes. This paper aims to reduce power losses in CVR‐implemented networks by optimally planning new renewable DGs without changing the existing ones. A scenario‐based optimal renewable DG planning model is proposed with a novel scenario formation method. The uncertainties of load demand and renewables are captured jointly and formed into a finite number of scenarios based on a multivariate Gaussian mixture model (MultiGMM). The locations and capacities of different types of new renewable DGs are optimally planned for CVR performance improvements on power loss saving by aggregating the operation status and probabilities of the scenarios using mixed‐integer non‐linear programming (MINLP). A time‐series simulation is formulated for accuracy verification. The results of case studies show that the proposed model can significantly reduce power losses, active load demand, and reactive load demand. The accuracy of the planning results can be guaranteed with fewer scenarios compared to a widely used classical scenario‐based planning method.

Published
2024
Full Text
View/download PDF

2. In silico analysis of the association between long non‐coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer

Author

Manyi Sun, Shuhua Lv, and Jin Zhong

Subjects
cancer, genetics, genomics, tumours, Biology (General), QH301-705.5
Abstract

Abstract The link between family with sequence similarity 99 member A (FAM99A), a type of long non‐coding RNA, and tumourigenesis remains ambiguous. Therefore, in this study, the authors conducted an expression profile analysis of FAM99A based on 33 types of cancer within The Cancer Genome Atlas project. The expression profile data revealed low expression levels of FAM99A in hepatocellular carcinoma, cholangiocarcinoma, and testicular germ cell tumour tissues than in the normal control tissues. Survival analysis indicated a correlation between low FAM99A expression and worse survival outcome in patients with hepatic cancer. Further investigation revealed the possible implication of DNA methylation, but not copy number variation, in FAM99A‐associated hepatic tumourigenesis. The authors also identified a set of differentially expressed genes between patients with hepatic cancer and negative controls, which were found to be related to biochemical metabolism or the cell cycle. Additionally, FAM99A expression may be associated with the infiltration status of several immune cells, such as dendritic cells, natural killer cells, and neutrophils. Overall, FAM99A may function as a prognostic marker that is potentially associated with DNA methylation, immune cell infiltration, and biochemical metabolism in hepatic cancer.

Published
2023
Full Text
View/download PDF

3. Evolutionary Game Algorithm for Image Segmentation

Author

Jin Zhong and Hao Wu

Subjects
Computer engineering. Computer hardware, TK7885-7895
Abstract

The traditional two-dimensional Otsu algorithm only considers the limitations of the maximum variance of between-cluster variance of the target class and background class; this paper proposes evolutionary game improved algorithm. Algorithm takes full consideration of own pixel cohesion of target and background. It can meet the same of maximum variance of between-cluster variance. To ensure minimum threshold discriminant function within the variance, this kind of evolutionary game algorithm searching space for optimal solution is applied. Experimental results show that the method proposed in this paper makes the detail of segmentation image syllabify and has better antijamming capability; the improved genetic algorithm which used searching optimal solution has faster convergence speed and better global search capability.

Published
2017
Full Text
View/download PDF

21. Hepatitis C virus genotype 4: A poorly characterized endemic genotype

Author

Steve Leumi, Mohamed El Kassas, and Jin Zhong

Subjects
Genetics, Genotype, Hepatitis C virus, Hepacivirus, Hepatitis C, Chronic, Viral Nonstructural Proteins, Biology, DIRECT ACTING ANTIVIRALS, medicine.disease_cause, Antiviral Agents, Hepatitis C, Virology, Infectious Diseases, Basic research, Hepatitis C virus genotype, Drug Resistance, Viral, medicine, Animals, Humans, Cell culture model
Abstract

Globally, 13% of all hepatitis C virus (HCV) infections are caused by genotype 4 (GT4), which consists of 17 subtypes with various levels of susceptibility to anti-HCV therapy. This genotype is endemic in the Middle East and Africa and has considerably spread to Europe lately. The molecular features of HCV-GT4 infection, as well as its appropriate therapeutics, are poorly characterized as it has not been the subject of widespread basic research. As such, in this review, we aim to gather the current state of knowledge of this genotype with a particular emphasis on its heterogeneity, sequence signatures, resistance-associated substitutions, and available in vivo and in vitro models used for its study. We urge developing more cell-culture models based on different GT4 subtypes to better understand the virology and therapeutic response of this particular genotype. This review may raise more awareness about this genotype and trigger more basic research work to develop its research tools. This will be critical to design better therapeutics and help to provide adequate guidelines for physicians working with HCV-GT4 patients.

Published
2021

28. Design of Co Nanoparticles‐Encapsulated by Boron and Nitrogen Co‐Doped Carbon Nanosheets as Highly Efficient Electrocatalyst for Oxygen Reduction Reaction

Author

Niu, Wen‐Jun, primary, Sun, Qiao‐Qiao, additional, Wang, Ya‐Ping, additional, Gu, Bing‐Ni, additional, Liu, Ming‐Jin, additional, He, Jin‐Zhong, additional, Chen, Jiang‐Lei, additional, Chung, Chia‐Chen, additional, Liu, Wen‐Wu, additional, and Chueh, Yu‐Lun, additional

Published
2021
Full Text
View/download PDF

37. Pomegranate Extract Improves Colitis in IL‐10 Knockout Mice Fed a High Fat High Sucrose Diet

Author

Jieping Yang, Patrizia Maria Germano, Suwan Oh, Sijia Wang, Jing Wang, Rupo Lee, Hayden Paige, Scarlet Yang, Susanne M. Henning, Jin Zhong, Jonathan P. Jacobs, and Zhaoping Li

Subjects
Male, Mice, Knockout, Sucrose, Interleukin-6, Plant Extracts, Colitis, Diet, High-Fat, Inflammatory Bowel Diseases, Pomegranate, Interleukin-10, Mice, Animals, Humans, Food Science, Biotechnology
Abstract

The study tests the hypothesis that dietary pomegranate extract (PomX) supplementation attenuates colitis in a Western diet feed IL-10 deficient (IL-10-/-) murine model.Four-week-old male IL-10-/- mice are randomly assigned to a high fat high sucrose (HFHS) diet or a HFHS diet supplement with 0.25% PomX for 8 weeks. PomX supplementation lead to significantly lower histological score for colitis (2.6 ± 0.5 vs 3.9 ± 1.0), lower spleen weight (0.11 ± 0.01 vs 0.15 ± 0.02), and lower circulating Interleukin 6(IL-6) levels (15.8±2.2 vs 29.5±5.5) compared with HFHS fed controls. RNAseq analysis of colonic tissues showed 483 downregulated and 263 upregulated genes with PomX supplementation, which are mainly associated with inflammatory responses, defenses, and neutrophil degranulation. In addition, PomX treatment affects the cecal microbiome with increased alpha diversity, altered microbial composition, and increased levels of the tryptophan-related microbial metabolite indole propionate.The data demonstrate that dietary PomX supplementation ameliorated colitis and lowered inflammatory markers in HFHS fed IL-10-/- mice. These data support the anti-inflammatory effects of dietary PomX supplementation for IBD and a potential mediating role of gut microbiome, suggesting the need for future clinical studies to explore the use of PomX dietary supplementation in IBD patients.

Published
2022

38. P‐6: Development of 1HZ 17.3‐inch Oxide UD HADS Display

Author

Piao Zheng Hao, Jin Zhong, Jian Feng Yuan, Yin Shi Chang, Zhang Da Yu, Zhang Zhi, Jin Xiang Zhu, and Jin Xing Zhi

Subjects
chemistry.chemical_compound, Materials science, chemistry, business.industry, Liquid crystal, Flicker, Oxide, Optoelectronics, business
Published
2019

49. Effects of lactoferrin and lactoperoxidase-containing food on the oral microbiota of older individuals

Author

Fumiaki Abe, Kohji Murakami, Shouji Hironaka, Manabu Nakano, Kentaro Ishikawa, Toshitaka Odamaki, Hiroyuki Wakabayashi, Jin-zhong Xiao, Hirosuke Sugahara, and Koji Yamauchi

Subjects
0301 basic medicine, Saliva, Lactoferrin, Immunology, Lactoperoxidase, Physiology, 030206 dentistry, Biology, Dental plaque, medicine.disease, Microbiology, stomatognathic diseases, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, medicine.anatomical_structure, Tongue, Virology, Oral microbiology, biology.protein, medicine, Ingestion, Anaerobic bacteria
Abstract

The oral microbiota influences health and disease states. Some gram-negative anaerobic bacteria play important roles in tissue destruction associated with periodontal disease. Lactoferrin (LF) and lactoperoxidase (LPO) are antimicrobial proteins found in saliva; however, their influence on the whole oral microbiota currently remains unknown. In this randomized, double-blinded, placebo-controlled study, the effects of long-term ingestion of LF and LPO-containing tablets on the microbiota of supragingival plaque and tongue coating were assessed. Forty-six older individuals ingested placebo or test tablets after every meal for 8 weeks. The relative abundance of bacterial species was assessed by 16S rRNA gene high-throughput sequencing. Most of the bacterial species in supragingival plaque and tongue coating that exhibited significant decreases in the test group were gram-negative bacteria, including periodontal pathogens. Decreases in the total relative abundance of gram-negative organisms in supragingival plaque and tongue coating correlated with improvements in assessed variables related to oral health, such as oral malodor and plaque accumulation. Furthermore, there was significantly less microbiota diversity in supragingival plaque at 8 weeks in the test group than in the placebo group and low microbiota diversity correlated with improvements in assessed variables related to oral health. These results suggest that LF and LPO-containing tablets promote a shift from a highly diverse and gram-negative-dominated to a gram-positive-dominated community in the microbiota of supragingival plaque and tongue coating. This microbial shift may contribute to improvements in oral health, including oral malodor and state of the gingiva.

Published
2017

50. A diagnostic algorithm for assessment of liver fibrosis by liver stiffness measurement in patients with chronic hepatitis B

Author

Y.-P. Chen, Yu-Qun Wang, Yi-Jing Cai, Xiao-Dong Wang, Yong-Ping Chen, Rui-Cong Chen, S.‐S. Huang, Mengtao Zhou, Jin-Zhong Dong, Z. Li, Ke-Qing Shi, and Mei Song

Subjects
Adult, Liver Cirrhosis, Male, medicine.medical_specialty, Biopsy, Clinical Decision-Making, Physical examination, medicine.disease_cause, Sensitivity and Specificity, Severity of Illness Index, Gastroenterology, Workflow, 03 medical and health sciences, Hepatitis B, Chronic, 0302 clinical medicine, Liver Function Tests, Non-alcoholic Fatty Liver Disease, Liver stiffness, Fibrosis, Virology, Internal medicine, Nonalcoholic fatty liver disease, medicine, Humans, In patient, Hepatitis B virus, Hepatology, medicine.diagnostic_test, business.industry, Reproducibility of Results, Middle Aged, medicine.disease, Infectious Diseases, Liver, 030220 oncology & carcinogenesis, Liver biopsy, Elasticity Imaging Techniques, Female, 030211 gastroenterology & hepatology, Steatosis, business, Algorithm, Algorithms, Biomarkers
Abstract

Steatosis could affect liver stiffness measurement in patients with nonalcoholic fatty liver disease and chronic hepatitis C. In this study, we aimed to investigate the impact of steatosis on liver stiffness in hepatitis B virus (HBV)-infected patients and develop a diagnostic algorithm for prediction of liver fibrosis by liver stiffness based on the controlled attenuation parameter. A total of 488 HBV-infected patients who underwent clinical examination, Fibroscan and liver biopsy were prospectively enrolled. The best liver stiffness measurement (kPa) cut-offs for significant fibrosis (S≥3) and advanced fibrosis (S≥4) were 8.1 and 10.9, respectively. The best controlled attenuation parameter cut-off for severe steatosis (≥30%) was 287 dB/m. Among patients with low-grade fibrosis (S0-S2/S0-S3), mean liver stiffness values were significantly higher in subjects with severe steatosis or controlled attenuation parameter ≥287 dB/m compared with those without. Moreover, in subjects with low-grade fibrosis, a higher rate of false-positive rate was observed in patients with severe steatosis than those in patients without (F0-F2: 28.2% vs 9.7%; F0-F3: 17.0% vs 5.3%), and in patients with CAP≥287 dB/m compared with their counterpart (F0-F2: 23.7% vs 9.2%; F0-F3: 14.1% vs 4.8%). Low-grade fibrosis was accurately identified by γ-glutamyl transpeptidase-to-platelet ratio (GPR) with a cut-off value of 0.17. In patients with GPR

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results