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High-efficiency gene editing in Anopheles sinensis using ReMOT control

Insect science 2024年第1期31卷 307-312页

作者： Xiao-lin Yang Xia Ling Quan Sun Pin-pin Qiu Kai Xiang Jun-feng Hong Shu-lin He Jie Chen Xin Ding Hai Hu Zheng-bo He Cao Zhou Bin Chen Liang Qiao Chongqing Key Laboratory of Vector Insects Institute of Entomology and Molecular BiologyCollege of Life SciencesChongqing Normal UniversityChongqingChina xunjian life science&technology co.ltd. ChongqingChina State Key Laboratory of Resource Insects Southwest UniversityChongqingChina

Dear editor,Functional genomics studies of mosquito vectors are crucial for understanding their physiological behavior,pathogen transmission,and evolution,and for providing essential molecular targets for genetic control(Severson&Behura,201l;Alphey,2014;Ruzzante et al.,2019;Hong et al.,2022).The main methods involve clustered regularly interspaced palindromic repeats(CRISPR)/CRISPR-associated protein 9(Cas9)gene editing via embryo microinjection(Criscione et al.,2015;Kistler et al.,2015).

关键词： editor editing injection

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Ordinal Decision Trees

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浙江海洋学院学报（自然科学版） 2010年第5期29卷 450-461页

作者： HU Qinghua CHE xunjian School of Energy science and Engineering Harbin Institute of Technology Harbin Heilongjiang 150001 P. R. China

In many decision making tasks,the features and decision are *** ordinal classification learning algorithms have been developed in recent years,it is shown that these algorithms are sensitive to noisy samples and do not work in real-world *** this work,we propose a new measure of feature quality, called rank mutual ***,we design an ordinal decision tree(REOT) construction technique based on rank mutual *** theoretic and experimental analysis shows that the proposed algorithm is effective.

关键词： ordinal classification rank entropy rank mutual information decision tree

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Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第8期15卷 2072-2082页

作者： xunjian Hu Junjie Shentu Ni Xie Yujie Huang Gang Lei Haibo Hu Panpan Guo Xiaonan Gong Research Center of coastal and Urban Geotechnical Engineering Zhejiang UniversityHangzhou310058China Faculty of Engineering China University of Geosciences(Wuhan)Wuhan430074China School of Mechanical Engineering North University of ChinaTaiyuan030051China Beijing Urban construction Design and Development Group co. Ltd.Beijing100037China

The accurate prediction of the strength of rocks after high-temperature treatment is important for the safety maintenance of rock in deep underground *** machine learning(ML)techniques were adopted in this study,*** propagation neural network(BPNN),AdaBoost-based classification and regression tree(AdaBoost-CART),support vector machine(SVM),K-nearest neighbor(KNN),and radial basis function neural network(RBFNN).A total of 351 data points with seven input parameters(*** and height of specimen,density,temperature,confining pressure,crack damage stress and elastic modulus)and one output parameter(triaxial compressive strength)were *** root mean square error(RMSE),mean absolute error(MAE)and correlation coefficient(R)were used to evaluate the prediction performance of the five ML *** results demonstrated that the BPNN shows a better prediction performance than the other models with RMSE,MAE and R values on the testing dataset of 15.4 MPa,11.03 MPa and 0.9921,*** results indicated that the ML techniques are effective for accurately predicting the triaxial compressive strength of rocks after different high-temperature treatments.

关键词： Machine learning(ML) Triaxial compressive strength Temperature confining pressure Crack damage stress

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Sequences and Phylogeny Analysis of rbcL Gene in Marine Chlorophyta

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Journal of Ocean University of China 2010年第2期9卷 145-150页

作者： SHEN Songdong LI Yanyan WU xunjian DING Lanping college of life sciences Soochow University Suzhou 215123 P. R. China Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 P. R. China

The rbcL gene of Ulva pertusa,Enteromorpha prolifera and Monostroma grevillei was amplified,sequenced and *** comparing the rbcL sequences with seven other Ulvales species retrieved from GenBank,the sequence divergences and thephyletic evolution were analyzed and the phylogenetic tree was *** the phylogenetic tree,it can be found that ***-tusa,*** and *** group in one branch,while ***,*** and *** cluster in another ***,unlike the Enteomorpha species,the Ulva species do not gather in one *** Ulva and Enteomorpha might beaffiliates of one *** and *** gathered together,which coincided with the morphological ***,the thallus of *** is thick and with many holes,which is different from *** in *** cluster togetherin the phylogenetic tree with a genetic distance of *** results indicate that Ulva and Enteromorpha are not distinguishedstrictly.

关键词： Ulva Enteromorpha Monostroma rbcL phylogeny

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