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2篇 您的检索式:作者名="ZHANG WenDian"
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1Micro RNA profiles and potential regulatory pattern during the early stage of spermatogenesis in mice显示文摘Spermatogenesis is a complicated and poorly understood process that relies on the precise regulation of the self-renewal and differentiation of spermatogonia. In many organisms, micro RNAs(mi RNAs) are involved in multiple developmental processes as critical regulators of transcriptional and post-transcriptional gene silencing. This study investigated the expression pattern of mi RNAs in type B spermatogonia cells(BSc) and primary spermatocytes(PSc) of mice, using a high-throughput small RNA sequencing system. The results revealed that the expression levels of Let-7 family mi RNAs were remarkably high in both cell types. Furthermore, the expression levels of mi R-21, mi R-140-3p, mi R-103, mi R-30 a, mi R-101 b and mi R-99 b were decreased during the transformation from BSc to PSc. These mi RNAs target vital genes that participate in apoptosis, cell proliferation and differentiation, junction assembly and cell cycle regulation. These results highlight the indispensable role of mi RNAs in spermatogenesis.LUO MengMeng HAO LiLi HU Fen DONG YaNan GOU LiXia ZHANG WenDian WANG Xin ZHAO YuHui JIA MengChun HU SongNian ZHANG XiuJun 2015Science China(Life Sciences)2015,58,5:6
2A Portable Algorithm to Retrieve Bottom Depth of Optically Shallow Waters from Top-Of-Atmosphere Measurements显示文摘Bottom depth(H)of optically shallow waters can be retrieved from multiband imagery,where remote sensing reflectance(R_(rs))are commonly used as the input.Because of the difficulties of removing the atmospheric effects in coastal areas,quite often,there are no valid R_(rs) from satellites for the retrieval of H.More importantly,the empirical algorithms for H are hardly portable to new measurements.In this study,using data from Landsat-8 and ICESat-2 as examples,we present an approach to retrieve H directly from the top-of-atmosphere(TOA)data.It not only bypasses the requirement to correct the effects of aerosols but also shows promising portability to areas not included in algorithm development.Specifically,we use Rayleigh-corrected TOA reflectance(ρ_(rc))in the 443–2300nm range as input,along with a multilayer perceptron(MLP^(ρ_(rc))_(H)),for the retrieval of H.More than 78,000 matchup points ofρ_(rc)and H(0–25 m)were used to train MLP^(ρ_(rc))_(H),which resulted in a Mean Absolute Percentage Difference(MARD)of 8.8%and a coefficient of determination(R^(2))of 0.96.This MLP^(ρ_(rc))_(H)was further applied to Landsat-8 data of six regions not included in the training phase,generating MARD and R^(2)values of 8.3%and 0.98,respectively.In contrast,a conventional two-band ratio algorithm with R_(rs) as the input generated MARD and R^(2)values of 31.6%and 0.68 and significantly fewer H retrievals due to failures in atmospheric correction.These results indicate a breakthrough of algorithm portability of MLP^(ρ_(rc))_(H)in sensing H of optically shallow waters.Wendian Lai Zhongping Lee Junwei Wang Yongchao Wang Rodrigo Garcia Huaguo Zhang 2022Journal of Remote Sensing2022,,1:2
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