Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Zhi-qiang Qin"'
Autor:
Hong-Mei Li, Nicholas Midzi, Masceline Jenipher Mutsaka-Makuvaza, Zhi-Qiang Qin, Shan Lv, Shang Xia, Ying-Jun Qian, Robert Berquist, Xiao-Nong Zhou
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 9, Iss 11, p 275 (2024)
Schistosomiasis, a parasitic disease with a complex transmission mechanism, requiring a snail intermediate host, is influenced by biology, the environment, human behavior and the prevailing socioeconomic situation. This study aimed to systematically
Externí odkaz:
https://doaj.org/article/85df6eb2f00545fb83f1dee6f330116c
Publikováno v:
Asian Journal of Andrology, Vol 24, Iss 4, Pp 373-379 (2022)
This paper presents a meta-analysis regarding the detection rate (DR) of fluorine-18 (18F)-labeled prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) in the management of patients with prostate cancer (P
Externí odkaz:
https://doaj.org/article/66db8ca557fc42c9af0dc81cd150666f
Autor:
Hong-Mei Li, Zhi-Qiang Qin, Robert Bergquist, Men-Bao Qian, Shang Xia, Shan Lv, Ning Xiao, Jurg Utzinger, Xiao-Nong Zhou
Publikováno v:
International Journal of Infectious Diseases, Vol 112, Iss , Pp 152-164 (2021)
Background: Schistosomiasis is a parasitic disease caused by hematodes of genus Schistosoma. This review evaluated the available nucleic acid amplification techniques for diagnosing S. mansoni infections in humans, intermediate host snails, and presu
Externí odkaz:
https://doaj.org/article/749df8596e924afe9fd7fcc8dd3c2d8f
Autor:
Zhou Guan, Si-Min Dai, Jie Zhou, Xiao-Bing Ren, Zhi-Qiang Qin, Yin-Long Li, Shan Lv, Shi-Zhu Li, Xiao-Nong Zhou, Jing Xu
Publikováno v:
Parasites & Vectors, Vol 13, Iss 1, Pp 1-9 (2020)
Abstract Background Fishermen and boatmen are a population at-risk for contracting schistosomiasis due to their high frequency of water contact in endemic areas of schistosomiasis in the People’s Republic of China (P. R. China). To develop specific
Externí odkaz:
https://doaj.org/article/2f2c3cd9e5d0414ea3838da305cba8cf
Autor:
Eniola Michael Abe, Wei Guan, Yun-Hai Guo, Kokouvi Kassegne, Zhi-Qiang Qin, Jing Xu, Jun-Hu Chen, Uwem Friday Ekpo, Shi-Zhu Li, Xiao-Nong Zhou
Publikováno v:
Infectious Diseases of Poverty, Vol 7, Iss 1, Pp 1-13 (2018)
Abstract Background Snail intermediate hosts play active roles in the transmission of snail-borne trematode infections in Africa. A good knowledge of snail-borne diseases epidemiology particularly snail intermediate host populations would provide the
Externí odkaz:
https://doaj.org/article/d8777af82e0044b5beb887a0753e1064
Publikováno v:
Urology Journal. May/Jun2019, Vol. 16 Issue 3, p224-231. 8p.
Autor:
Shan Lv, Xiao-Nong Zhou, Shang Xia, Robert Bergquist, Jürg Utzinger, Ning Xiao, Zhi-Qiang Qin, Men-Bao Qian, Hong-Mei Li
Publikováno v:
International Journal of Infectious Diseases, Vol 112, Iss, Pp 152-164 (2021)
Background Schistosomiasis is a parasitic disease caused by hematodes of genus Schistosoma. This review evaluated the available nucleic acid amplification techniques for diagnosing S. mansoni infections in humans, intermediate host snails, and presum
Autor:
Yong-Zheng, Zhu, Ji, Zhang, Qi, Cheng, Hui-Xiao, Yu, Kai-Fei, Deng, Jian-Hua, Zhang, Zhi-Qiang, Qin, Jian, Zhao, Jun-Hong, Sun, Ping, Huang
Publikováno v:
Fa yi xue za zhi. 38(1)
To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to provi
Publikováno v:
Fa yi xue za zhi. 38(1)
To explore the application value of virtual autopsy to obtain key evidence information on drowned corpses and its application value of virtual autopsy in the diagnosis of drowning.In this study, 7 corpses were selected as the research objects. The im
Autor:
Yong-Zheng, Zhu, Ji, Zhang, Qi, Cheng, Kai-Fei, Deng, Kai-Jun, Ma, Jian-Hua, Zhang, Jian, Zhao, Jun-Hong, Sun, Ping, Huang, Zhi-Qiang, Qin
Publikováno v:
Fa yi xue za zhi. 38(1)
Diatom test is the main laboratory test method in the diagnosis of drowning in forensic medicine. It plays an important role in differentiating the antemortem drowning from the postmortem drowning and inferring drowning site. Artificial intelligence