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Palpable Prosperity

beijing Review 2022年第39期65卷 32-33页

作者： Muhammad Asghar the associated press of pakistan beijing office

China’s Xinjiang Uygur Autonomous Region is renowned for its breathtaking natural beauty,wide-ranging ethnic customs,and abundant *** is China’s largest province-level region,covering an area of some 1.66 million square km—roughly the area of *** to 25.85 million people,the Han ethnic group accounts for 10.92 million and ethnic minorities for 14.93 million,according to data from the seventh national census in 2020.

关键词： milli Xinjiang abundant

Harmony,Stability,and Prosperity in Xinjiang

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China Today 2022年第10期71卷 17-19页

作者： MUHAMMAD ASGHAR the associated press of pakistan beijing office

CHINA'S Xinjiang Uygur Autonomous Region is renowned for its gorgeous natural beauty,diversified ethnic customs,and rich *** is the largest provincial region in China covering an area of about 1.66 million square kilometers,roughly the size of *** is home to 25.85million people,among which the Han ethnic group makes up 10.92 million,and ethnic minorities 14.93million,according to data from the seventh national census in 2020.

关键词： Xinjiang Harmony milli

The stance and factors of international organizations towards countries from a Chinese perspective

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Data Intelligence 2024年第1期6卷 158-182页

作者： Qin Zhang Haili Xue Yaotian Wang Yao Wang Ziqin Zhang Qinghua Qin Haoguang Liang National Science Library Chinese Academy of Sciences100190China China Center for Modernization Research 100190China beijing International Studies University 100024China beijing Key Laboratory of National Belt and Road Data Analysis and Decision Support 100024China University College London WC1E 6BTUK

The degree and scope of constraints imposed by International Organizations(IOs)on States are increasing,and identifying the factors affecting the IOs’stances on States is helpful to enhance the state's discourse power and influence in the international ***,by coding the records of Regular press Conferences of the Speaking office of the Chinese Ministry of Foreign Affairs during the period of 20182022,we obtained a dataset of IOs’stances on China-related ***,we constructed political relation,economic relation,and humanistic relation indicators to complement the influence factors,adopted the Bayesian logit model,and applied the Monte Carlo Markov chain algorithm and Gibbs sampling to analyze the probability of IOs’positive stances towards *** result shows that IOs’category,length of establishment,functional position,and relationship with China are all related to their tendency of making a statement about *** terms of the heterogeneity of event types,forum-type IOs are significantly inclined to give positive assessment compared to service-type IOs on events focusing on China's own *** analysis reveals that the model for analyzing and predicting the attitudes of IOs is more effective when the international situation is in a stable period.

关键词： Bayesian Logit Model IOs' stances Attitude analysis Monte Carlo Markov chain International relation indicator

GENOME EDITING:A GROUND BREAKING RESEARCH HAS BEEN RANKED TOP 10 ENGINEERING FRONTS FROM 2017 TO 2021

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Frontiers of Agricultural Science and Engineering 2022年第2期9卷 309-311页

作者： Jianxiang XU Yunzhou LI Yinkun YAO Jie ZHAO Jingyue TANG Zixuan FENG Sci-Tech Journal Centre Higher Education PressBeijing 100029China Editorial office of Frontiers of Agricultural Science&Engineering China Agricultural UniversityBeijing 100193China

‘Global Engineering Fronts’ is a report released by the Chinese Academy of Engineering(CAE) every year since 2017, which aims to assemble talents in the field of engineering science and technology to represent the global engineering research and development fronts by reviewing global papers, patents, and other data. The results are also expected to provide a reference for people on responding to global challenges and achieving sustainable development.

关键词： EDIT ING sustainable

Correction to:Missing Declaration of Competing Interest stater 1 previously published articles

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Astrodynamics 2022年第4期6卷 441-443页

作者： Astrodynamics Editorial office Tsinghua University press Beijing 100084China

Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies

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The Crop Journal 2022年第5期10卷 1303-1311页

作者： Lei Li Muhammad Adeel Hassan Shurong Yang Furong Jing Mengjiao Yang Awais Rasheed Jiankang Wang Xianchun Xia Zhonghu He Yonggui Xiao Institute of Crop Sciences National Wheat Improvement CentreChinese Academy of Agricultural Sciences(CAAS)Beijing 100081China Electronic Information School Foshan PolytechnicFoshan 528137GuangdongChina International Maize and Wheat Improvement Centre(CIMMYT)China office c/o CAASBeijing 100081China Department of Plant Sciences Quaid-i-Azam UniversityIslamabad 44000Pakistan

Spike number(SN) per unit area is one of the major determinants of grain yield in wheat. Development of high-throughput techniques to count SN from large populations enables rapid and cost-effective selection and facilitates genetic studies. In the present study, we used a deep-learning algorithm, i.e., Faster Region-based Convolutional Neural Networks(Faster R-CNN) on Red-Green-Blue(RGB) images to explore the possibility of image-based detection of SN and its application to identify the loci underlying SN. A doubled haploid population of 101 lines derived from the Yangmai 16/Zhongmai 895 cross was grown at two sites for SN phenotyping and genotyped using the high-density wheat 660 K SNP *** of manual spike number(MSN) in the field, image-based spike number(ISN), and verification of spike number(VSN) by Faster R-CNN revealed significant variation(P < 0.001) among genotypes, with high heritability ranged from 0.71 to 0.96. The coefficients of determination(R^(2)) between ISN and VSN was 0.83, which was higher than that between ISN and MSN(R^(2)= 0.51), and between VSN and MSN(R^(2)= 0.50). Results showed that VSN data can effectively predict wheat spikes with an average accuracy of 86.7% when validated using MSN data. Three QTL ***-4 DS, ***-7 DS, and ***-7 DL were identified based on MSN, ISN and VSN data, while ***-7 DS was detected in all the three data sets. These results indicate that using Faster R-CNN model for image-based identification of SN per unit area is a precise and rapid phenotyping method, which can be used for genetic studies of SN in wheat.

关键词： Deeping learning High-throughput phenotyping QTL mapping RGB imaging

DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants

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Molecular Plant 2023年第1期16卷 279-293页

作者： Kelin Wang Muhammad Ali Abid Awais Rasheed Jose Crossa Sarah Hearne Huihui Li Institute of Crop Sciences Chinese Academy of Agricultural Sciences(CAAS)CIMMYT-China Office12 Zhongguancun South StreetBeijing 100081China Nanfan Research Institute CAASSanyaHainan 572024China Department of Plant Sciences Quaid-i-Azam UniversityIslamabad 45320Pakistan International Maize and Wheat Improvement Center(CIMMYT) Apdo.Postal 6-641TexcocoD.F.06600Mexico

Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement in *** methods typically use linear regression models with clear assumptions;such methods are unable to capture the complex relationships between genotypes and ***-linear models(e.g.,deep neural networks)have been proposed as a superior alternative to linear models because they can capture complex non-additive *** we introduce a deep learning(DL)method,deep neural network genomic prediction(DNNGP),for integration of multi-omics data in *** trained DNNGP on four datasets and compared its performance with methods built with five classic models:genomic best linear unbiased prediction(GBLUP);two methods based on a machine learning(ML)framework,light gradient boosting machine(LightGBM)and support vector regression(SVR);and two methods based on a DL framework,deep learning genomic selection(DeepGS)and deep learning genome-wide association study(DLGWAS).DNNGP is novel in five ***,it can be applied to a variety of omics data to predict ***,the multilayered hierarchical structure of DNNGP dynamically learns features from raw data,avoiding overfitting and improving the convergence rate using a batch normalization layer and early stopping and rectified linear activation(rectified linear unit)***,when small datasets were used,DNNGP produced results that are competitive with results from the other five methods,showing greater prediction accuracy than the other methods when large-scale breeding data were ***,the computation time required by DNNGP was comparable with that of commonly used methods,up to 10 times faster than ***,hyperparameters can easily be batch tuned on a local *** with GBLUP,LightGBM,SVR,DeepGS and DLGWAS,DNNGP is superior to these existing widely used genomic selection(GS)***,DNNGP can generate robust assessments from diverse datasets,including omics data

关键词： deep learning genomic selection multi-omics data prediction method

One health, monkeypox prevention, and treatment: The second online academic salon on monkeypox virus by the Chinese Association for Laboratory Animal Sciences (August 26, 2022, beijing, China)

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Animal Models and Experimental Medicine 2022年第5期5卷 487-488页

作者： AMEM Editorial office AMEM Editorial office

The Second Online Academic Salon on Monkeypox Virus: One Health, monkeypox prevention, and treatment was held online on August 26, 2022, at beijing, China. The Academic Salon was hosted by the Chinese Association for Laboratory Animal Sciences(CALAS);organized by the Editorial office of Animal Models and Experimental Medicine( AMEM), Acta Laboratorium Animalis Scientia Sinica, and the Chinese Journal of Comparative Medicine;and co-organized by the China Union of Life Science Societies and Wiley press. This online salon was simultaneously broadcast live, and attracted more than 2000 participants online from home and abroad.

关键词： prevention Animal treatment Laboratory

Molecular Docking-Based Research on the Potential Anti-Encephalopathy Effect of Gentianine

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World Journal of Traditional Chinese Medicine 2021年第3期7卷 377-382页

作者： Awais Wahab Jian-Xin Chen Cai-Xia Jia Ghulam Murtaza Chuan-Hong Wu Na Wang School of Traditional Chinese Medicine Beijing University of Chinese MedicineBeijingChina Department of Pharmacy COMSATS University IslamabadLahorePakistan The Biomedical Sciences Institute of Qingdao University(Qingdao Branch of SJTU Bio-X Institutes) Qingdao UniversityQingdaoChina

Objective:Encephalopathy is increasingly threatening human *** is correspondingly one of the concerns of society and medical *** a natural source,traditional Chinese medicine has tremendous beneficial outcomes in various diseases including ***,a Chinese herbal compound,shows effectiveness in many diseases exclusively in ***,this in vitro research was carried out to find its effectiveness in ***:Ligand and proteins were searched and downloaded from ChemDraw and protein database,***-X2.0 docking software and its various functions were used to prepare ligand and ***,gentianine was docked with proteins using Sybyl-X2.0 docking ***:Gentianine was docked with 20 protein *** with C-score of 5 were selected.A total of three kinds of protein docked with gentianine(ABCC1,C-reactive protein[CRP],and NKX5-2)were ***1 was expressed in the brain and was related to seizures and *** was an inflammatory biomarker and related to seizures,epilepsy,stroke,and Parkinson’s ***2–5 was also known as cardiac transcription and related to cerebral palsy,Alzheimer’s disease,and *** these targets were related to ***:Molecular docking findings in this study lead to the suggestion that gentianine might be helpful in treating *** study is expected to provide a solution to find potential anti-encephalopathy compounds.

关键词： Encephalopathy gentianine molecular docking