due to the translational silence of YTHDF3 in human oocytes, translation activity is not associated with m6A modification, but alternative splicing factor SRSF6. Together, the findings profile the specific translational landscape...
本段译文(translation): 简而言之,对高等教育的亲科学热情的减弱已经对许多社会的技术和就业格局产生了深远的影响,据估计,国家之间可能会出现更大的差距。 不太常见的词汇(less common lexical items): ❖ waning 减弱的 ❖ pro-s...
高性能三卤化物钙钛矿-硅串联太阳能电池的界面工程。 14.Translation dynamics in human cells visualized at high resolution reveal cancer drug action. 以高分辨率可视化的人体细胞翻译动力学揭示了癌症药物的作用。 15.Dearomative ring expansion of thiophenes by bicyclobutane insertion. 通过双环丁烷插入使噻吩发生...
The genus Thielavia is morphologically defined by having non-ostiolate ascomata with a thin peridium composed of textura epidermoidea, and smooth, single-celled, pigmented ascospores with one germ pore. Thielavia is typified with Th. basicola that grows in close association with a hyphomycete ...
Similarly, we will create another column and name it predicted which will have predicted values, and then store the predicted values in the new object which is final_data. After that, we will convert a matrix into a dataframe. So, we will use the as.data.frame function and convert this ...
46.Unbiased transcription factor CRISPR screen identifies ZNF800 as master repressor of enteroendocrine differentiation. 无偏转录因子 CRISPR 筛选将 ZNF800 鉴定为肠内分泌分化的主要抑制因子。 47.Multiplicative enhancement of stereoenrichment by a single catalyst for deracemization of alcohols. ...
A typical nucleus contains 1 to 4 cleavage bodies that have diameters of 0.3–1μm[101]. Cleavage bodies received their name based on the fact that they contain the cleavage stimulation factor CstF-64 and thecleavage and polyadenylation specificity factorCPSF-100[101]. Also, co-localization of...
Statement: During the preparation of this work the author(s) used [NAME TOOL / SERVICE] in order to [REASON]. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication This declaration does not...
(Cluster model,linear regression,Bayesian networks ,latent factor(probabilistic latent,matrix factorization(als,SGD,SVD),neural network,lda)) b.content based Recommendation system similarity based(user-user similarity,item-item similarity) matrix factorization(SVD and SVD++),Popularity-based recommenders c...
Another important factor: figure and table legends must be self-explanatory (Figure 2) Figure 2. Figures must be self-explanatory. When presenting your tables and figures, appearances count! To this end: Avoid crowded plots (Figure 3), using only three or four data sets per figure; use well...