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| 1 | Germ cell transplantation in infertility mouse显示文摘This work investigated the spermatogenesis in an infertility BALB/c-nu mouse model by reinfusing germline stem cells into seminiferous tubules. Donor germ cells were isolated from male FVB/NJ-GFP transgenic mice. Seminiferous tubule microinjection was applied to achieve intratubular germ cell transfer. The germ cells were injected into exposed testes of the infertility mice. We used green fluo-rescence and DNA analysis of donor cells from GFP transgenic mice as genetic marker. The natural mating and Southern blot methods were applied to analyze the effect of sperm cell transplantation and the sperm function after seminiferous tubule microinjection. The spermatogenesis was morphologi-cally observed from the seminiferous tubules in 41/60 (68.33%) of the injected recipient mice using allogeneic donor cells. In the colonized testes, matured spermatozoa were seen in the lumen of the seminiferous tubules. In this research, BALB/c-nu infertility mouse model, the recipient animal, was used to avoid immunological rejection of donor cells, and germ cell transplantation was applied to overcome infertility caused by busulfan treatment. These results demonstrate that this technique of germ cell transplantation is of great use. Germ cell transplantation could be potentially valuable to oncological patients. | XIE XiaYang TENG Yong MA LiangHong LIU LiJun WANG Xiang SONG YingChing XU Ping | 2008 | Chinese Science Bulletin2008，53，1： | 1 |
| 2 | A bibliometric analysis of worldwide cancer research using machine learning methods显示文摘With the progress and development of computer technology,applying machine learning methods to cancer research has become an important research field.To analyze the most recent research status and trends,main research topics,topic evolutions,research collaborations,and potential directions of this research field,this study conducts a bibliometric analysis on 6206 research articles worldwide collected from PubMed between 2011 and 2021 concerning cancer research using machine learning methods.Python is used as a tool for bibliometric analysis,Gephi is used for social network analysis,and the Latent Dirichlet Allocation model is used for topic modeling.The trend analysis of articles not only reflects the innovative research at the intersection of machine learning and cancer but also demonstrates its vigorous development and increasing impacts.In terms of journals,Nature Communications is the most influential journal and Scientific Reports is the most prolific one.The United States and Harvard University have contributed the most to cancer research using machine learning methods.As for the research topic,“Support Vector Machine,”“classification,”and“deep learning”have been the core focuses of the research field.Findings are helpful for scholars and related practitioners to better understand the development status and trends of cancer research using machine learning methods,as well as to have a deeper understanding of research hotspots. | Lianghong Lin Likeng Liang Maojie Wang Runyue Huang Mengchun Gong Guangjun Song Tianyong Hao | 2023 | Cancer Innovation2023，2，3： | 0 |
| 3 | Experimental Design and Clinical Observation of Modialysis Apparatus显示文摘Objective To evaluate the clinical safety and efficacy of polyethersulfone membrane hollow fiber dialyzer Enttex^(TM)-16LF(E60)in treating patients with end stage renal disease caused by a variety of reasons.Methods This clinical trialwas designed as a randomized,open,two-phase crossover and positive control,non-inferiority study.To evaluate the indicators of blood routine test,serum biochemical indexes,blood gas analysis,vital signsbefore and after hemodialysis,and the adverse events were recorded indetail.Results There was no significant difference in creatinine,urea,creatinine clearance and electrolytes between Enttex TM-16LF dialyzer and control dialyzer before and after hemodialysis,no adverse event associated with the Enttex^(TM)-16LF dialyzer was found during the study.Conclusions The Enttex^(TM)-16LF dialyzeris effective and safe for hemodialysis in patients with end stage renal disease. | Yunyi Li Zongchao Yu Sibo Huang Mingming Ma Huanhuan Liu Taksui Wong Fanna Liu Huifeng Song Chen Yun Hongwei Hu Yu Chen Fanna Liu Yongpin Lu Huanhuan Liu Aiyun Cha Guanmin Wu Jie Shu Gangyi Chen Shuifu Tang Lianghong Yin | 2017 | 临床医学工程2017，24，S1： | 0 |
| 4 | Assessing non-point source pollution in an apple-dominant basin and associated best fertilizer management based on SWAT modeling显示文摘Investigating the impact of apple-dominated areas on nitrogen(N)and phosphorus(P)losses at a basin scale was essential for the sustainable development of apple industry in China.This study conducted a survey on fertilizer application and built a Soil and Water Assessment Tool(SWAT)model to quantita-tively analyze the N and P losses in the Qixia apple-dominated area.Additionally,the decreases in N and P losses through adjusting the fertilizer application modes were evaluated.Results showed that average N and P losses in the Wulong River Basin(WRB)were 44.4 and 0.365 kg ha^(-1)in 2011-2017,respectively,and apple orchards accounted for 733%and 51.4%of the total N and P losses in the basin.Under nine fertilizer scheduling scenarios,three fertilizer schedule scenarios,automatic fertilizer application(S-AUTO),'one shot'mode(S1),and regulated fertilizer application(S-BSD),had the lowest N and P losses in apple orchards.The decreases in N loss ranged from 20.6%to 26.1%at the subbasin scale and 14.8%-30.7%at the basin outlet when applying the S-AUTO,S1,and S-BSD fertilizer application modes in Qixia apple orchards and all apple orchards in the WRB.The reductions in P loss varied from 22.0%to 46.1%at the subbasin scale and 14.6%-25.6%at the basin outlet.In orchard-dominated basin,N and P losses can be effectively reduced by optimizing the orchard fertilizer scheduling strategies. | Yiwen Han Zhong Liu Yafei Chen Yingxuan Li Haipeng Liu Lianghong Song Yong Chen | 2023 | International Soil and Water Conservation Research2023，11，2： | 0 |
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