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您的检索式：作者名="Chunna Zhao"
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| 1 | Distribution and risk factor analysis for-associated diarrhea among hospitalized children over one year of age显示文摘Importance: Clostridium difficile-associated diarrhea (CDAD) is a severe type of antibiotic-associated diarrhea (AAD). However, the risk factors for CDAD in children with AAD have not yet been clarified.Objective: To investigate the distribution and risk factors for CDAD among hospitalized children in Beijing Children’s Hospital.Methods: Stool samples from 197 children with AAD were tested for theC. difficile pathogenic genes (tcdA, tcdB, tcdC, tcdD, tcdE, cdtA, andcdtB) using polymerase chain reaction between January 2011 and January 2014. Children who tested positive fortcdA ortcdB were included in the CDAD group, and those remaining comprised the non-CDAD group.Results: The rate of CDAD among the 197 children with AAD was 42.6% (84/197). The age distribution was 1-15.6 years, among which the majority of children (54.8%, 46/84) were aged 1-4 years. Differences in the CDAD-positive rates among AAD children belonging to different age groups were not statistically significant. Univariate analysis revealed that the duration of antibiotic therapy, the length of hospitalization prior to diarrhea, and gastrointestinal tract operations were significant risk factors (P < 0.05). Children with CDAD underwent more antibiotic therapy and had longer periods of hospitalization prior to diarrhea onset than children in the non-CDAD group. Using multivariate regression analysis, hospitalization for ≥ 10 days prior to diarrhea was found to be an independent risk factor for CDAD.Interpretation: This study revealed that the length of hospitalization (≥ 10 days) prior to diarrhea was an independent risk factor for CDAD in children with AAD. | Chunna Zhao Shu Guo Xiaoyun Jia Xiwei Xu | 2020 | Pediatric Investigation2020，4，1： | 2 |
| 2 | Closed-form solutions to fractional-order linear differential equations显示文摘The definitions and properties of widely used fractional-order derivatives are summarized in this paper.The characteristic polynomials of the fractional-order systems are pseudo-polynomials whose powers of the complex variable are non-integers.This kind of systems can be approximated by high-order integer-order systems,and can be analyzed and designed by the sophisticated integer-order systems methodology.A new closed-form algorithm for fractional-order linear differential equations is proposed based on the definitions of fractional-order derivatives,and the effectiveness of the algorithm is illustrated through examples. | Chunna ZHAO Dingyu XUE | 2008 | Frontiers of Electrical and Electronic Engineering in China2008，3，2： | 2 |
| 3 | Role of Mesenchymal Stem Cells in Immunological Rejection of Organ Transplantation显示文摘 | Xiaomin Zhang Chunna Jiao Shaozhen Zhao | 2009 | Stem Cell Reviews and Reports2009，，4： | 1 |
| 4 | A comprehensive review on semiconductor-based photocatalysts toward the degradation of persistent pesticides显示文摘Pesticides refer to the chemicals to regulate plant growth and control pests used in agriculture.However,the extensive use of pesticides causes serious pollution that threatens the ecological environment and human health.Photocatalytic degradation of pesticides has become a promising way to deal with pesticide pollution.In this review,pesticides are classified according to the different targets and chemical structures.The recent developments on semiconductor-based photocatalysts including metal oxides,metal oxyhalides,carbon nitrides,metal sulfides were reviewed for degradation of pesticides.Importantly,several modification strategies to improve the photocatalytic performance are described such as doping,heterojunction construction,defect engineering,with special emphasis on anchoring single atom catalyst.Moreover,extensive efforts should be made to indepth understand the photodegradation mechanism by monitoring key intermediates.Our perspectives on the key challenges and future directions of developing high-performance semiconductor-based photocatalysts for pesticide degradation are elaborated. | Jing Zhu Min Liao Chen Zhao Mengmeng Liu Ali Han Chunna Zhu Yujia Sun Meng Zhao Sheng Ye Haiqun Cao | 2023 | Nano Research2023，16，5： | 0 |
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