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Multi-omic Analyses Shed Light on The Genetic Control of High-altitude Adaptation in Sheep

Genomics, Proteomics & Bioinformatics 2024年第2期22卷 43-56页

作者： Chao Li Bingchun chen Suo Langda Peng Pu Xiaojia Zhu Shiwei Zhou Peter Kalds Ke zhang Meenu Bhati Alexander Leonard Shuhong Huang Ran Li Awang Cuoji Xiran Wang Haolin Zhu Yujiang Wu Renqin Cuomu Ba Gui Ming Li Yutao Wang Yan Li Wenwen Fang Ting Jia Tianchun Pu Xiangyu Pan Yudong Cai Chong He Liming Wang Yu Jiang Jian-Lin Han Yulin chen Ping Zhou Hubert Pausch Xiaolong Wang International Joint Agriculture Research Center for Animal Bio-Breeding Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal GeneticsBreeding and Reproduction of Shaanxi ProvinceCollege of Animal Science and TechnologyNorthwest A&F UniversityYangling 712100China Animal Genomics ETH ZürichZürich 8092Switzerland Institute of Animal science Tibet Academy of Agricultural and Animal Husbandry SciencesLhasa 850009China School of Biological and Pharmaceutical Engineering Lanzhou Jiaotong UniversityLanzhou 730070China College of Life sciences Shaanxi Normal UniversityXi’an 710119China Zoology and Evolutionary Biology Department of BiologyUniversity of Konstanz78457 KonstanzGermany College of Life and Geographic sciences Kashi UniversityKashi 844000China beijing key laboratory of Captive Wildlife Technologies Beijing ZooBeijing 100044China department of Medical Research Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China key laboratory of Agricultural Internet of Things Ministry of Agriculture and Rural Affairs/Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent ServiceCollege of Information EngineeringNorthwest A&F UniversityYangling 712100China Institute of Animal Husbandry and Veterinary Medicine Xinjiang Academy of Agricultural and Reclamation SciencesShihezi 832000China state key laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural and Reclamation SciencesShihezi 832000China CAAS-ILRI Joint laboratory on Livestock and Forage Genetic Resources Institute of Animal ScienceChinese Academy of Agricultural SciencesBeijing 100193China Livestock Genetics Program International Livestock Research InstituteNairobi 00100Kenya

Sheep were domesticated in the Fertile Crescent and then spread globally,where they have been encountering various environmental *** Tibetan sheep has adapted to high altitudes on the Qinghai-Tibet Plateau over the past 3000 *** explore genomic variants associated with high-altitude adaptation in Tibetan sheep,we analyzed Illumina short-reads of 994 whole genomes representing∼60 sheep breeds/populations at varied altitudes,PacBio High fidelity(HiFi)reads of 13 breeds,and 96 transcriptomes from 12 sheep *** testing between the inhabited altitudes and 34,298,967 variants was conducted to investigate the genetic architecture of altitude *** accurate HiFi reads were used to complement the current ovine reference assembly at the most significantly associatedβ-globin locus and to validate the presence of two haplotypes A and B among 13 sheep *** haplotype A carried two homologous gene clusters:(1)HBE1,HBE2,HBB-like,and HBBC,and(2)HBE1-like,HBE2-like,HBB-like,and HBB;while the haplotype B lacked the first *** high-altitude sheep showed highly frequent or nearly fixed haplotype A,while the low-altitude sheep dominated by haplotype *** further demonstrated that sheep with haplotype A had an increased hemoglobin–O2 affinity compared with those carrying haplotype *** highly associated genomic region contained the EGLN1 gene which showed varied expression between high-altitude and low-altitude *** results provide evidence that the rapid adaptive evolution of advantageous alleles play an important role in facilitating the environmental adaptation of Tibetan sheep.

关键词： Environmental adaptation High altitude Hypoxia Selection signature Sheep

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Sensitized ligand narrow-band phosphorescence for high-efficiency solution-processed OLEDs

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science china Chemistry 2022年第8期65卷 1559-1568页

作者： Qian Wang Jin-Yun Wang Hao Zeng Li-Yi zhang zhong-Ning chen state key laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China Fujian science&technology Innovation laboratory for Optoelectronic information of china Fuzhou 350108China university of Chinese Academy of sciences Beijing 100039China

Narrow-band emission is crucial for high color purity in panel ***,attaining narrow-band emission is highly challenging because either thermally activated delayed fluorescence or phosphorescence in organic and metal-organic compounds originates primarily from multiple charge transfer transitions featured with broad *** this work,a general tactic for achieving highly efficient narrow-band emission is proposed by the sensitization of ligand-centered phosphorescence through substantial intermetallic *** to weak phosphorescence in mononuclear Pt(Ⅱ)precursors,highly efficient ligand-centered phosphorescence is dramatically activated in Pt(Ⅱ)-Au(Ⅰ)heteronuclear complexes with quantum yield as high as 81%in solutions and 97%in doping ***-efficiency solution-processed organic light-emitting diodes(OLEDs)with narrow-band emission are successfully attained with external quantum efficiency(EQE)of 21.6%and a full width at half maxima(FWHM)of 36 nm for yellow electroluminescence and EQE of 20.8%and FWHM of 32 nm for green electroluminescence.

关键词： electroluminescence narrow-band emission organic light-emitting diode phosphorescence solution process

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Modulating surface oxygen species via facet engineering for efficient conversion of nitrate to ammonia

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Journal of Energy Chemistry 2023年第3期78卷 211-221,I0007页

作者： Wenye zhong Zhiheng Gong Zuyun He Nian zhang Xiongwu Kang Xianwen Mao Yan chen School of Environment and Energy State Key Laboratory of Pulp and Paper EngineeringSouth China University of TechnologyGuangzhou 510006GuangdongChina state key laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China department of Materials science and Engineering National University of SingaporeSingapore 119077Singapore Institute of Functional intelligent Materials National University of SingaporeSingapore 119077Singapore Centre for Advanced 2D Materials National University of SingaporeSingapore 119077Singapore

Electrochemical reduction of nitrate,a common pollutant in aquatic environment,to valuable ammonia(NO3-RR) using renewably-sourced electricity has attracted widespread interests,with past efforts mainly focused on designing electrocatalysts with high activity and *** detailed correlation between catalyst properties and NO3-RR kinetics,nevertheless,is still not fully *** this work,we modulate the surface oxygen species of Cu_(2)O via facet engineering,and systematically study the impact of these oxygen species on the NO_(3)^(-)RR *** advanced spectroscopic techniques,densi ty fu n ctional theory calculations and molecular dynamics simulations,we find that while oxygen vacancies on Cu_(2)O(111) surface promote the adsorption of reactants and reaction intermediates,hydroxyl groups effectively inhibit the side reaction of hydrogen evolution and facilitate the hydrogenation process of *** two effects work in concert to render Cu_(2)O(111) facet the highest NO3-RR activity relative to those from other *** study provides critical insights into the synergistic effect of exposed facets and surface oxygen species on heterogeneous catalysis,and offers a generalizable,facet engineeringbased strategy for improving the performance of a variety of electrocatalysts important for renewable energy conversion.

关键词： Facet engineering Oxygen vacancy Hydroxyl group Electrochemical nitrate reduction Ammonia

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A New Machine-Learning Extracting Approach to Construct a Knowledge Base: A Case Study on Global Stromatolites over Geological Time

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地球科学学刊:英文版 2023年第5期34卷 1358-1373页

作者： Xiaobo zhang Hao Li Qiang Liu Zhenhua Li Claire E.Reymond Min zhang Yuangeng Huang Hongfei chen zhong-Qiang chen School of Computer China University of GeosciencesWuhan 430078China Hubei key laboratory of intelligent Geo-information Processing China University of GeosciencesWuhan 430074China School of Earth Resources China University of GeosciencesWuhan 430074China state key laboratory of Biogeology and Environmental Geology China University of GeosciencesWuhan 430078China

Within any scientific disciplines, a large amount of data are buried within various literature depositories and archives, making it difficult to manually extract useful information from the datum swamps. The machine-learning extraction of data therefore is necessary for the big-data-based studies. Here, we develop a new text-mining technique to reconstruct the global database of the Precambrian to Recent stromatolites, providing better understanding of secular changes of stromatolites though geological time. The step-by-step data extraction process is described as below. First, the PDF documents of stromatolite-containing literatures were collected, and converted into text formation. Second, a glossary and tag-labeling system using NLP(Natural Language Processing) software was employed to search for all possible candidate pairs from each sentence within the papers collected here. Third, each candidate pair and features were represented as a factor graph model using a series of heuristic procedures to score the weights of each pair feature. Occurrence data of stromatolites versus stratigraphical units(abbreviated as Strata), facies types, locations, and age worldwide were extracted from literatures, respectively, and their extraction accuracies are 92%/464, 87%/778, 92%/846, and 93%/405 from 3 750 scientific abstracts, respectively, and are 90%/1 734, 86%/2 869, 90%/2 055 and 91%/857 from 11 932 papers, respectively. A total of 10 072 unique datum items were identified. The newly obtained stromatolite dataset demonstrates that their stratigraphical occurrences reached a pronounced peak during the Proterozoic(2 500 – 541 Ma), followed by a distinct fall during the Early Phanerozoic, and overall fluctuations through the Phanerozoic(541–0 Ma). Globally, seven stromatolite hotspots were identified from the new dataset, including western United states, eastern United states, western Europe, India, South Africa, northern china, and southern china. The proportional occurren

关键词： machine learning knowledge base construction stromatolites Precambrian knowledge graph

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The chemical origin of temperature-dependent lithium-ion concerted diffusion in sulfide solid electrolyte Li_(10)GeP_(2)S_(12)

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Journal of Energy Chemistry 2022年第7期31卷 59-66,I0003页

作者： zhong-Heng Fu Xiang chen Nan Yao Xin Shen Xia-Xia Ma Shuai Feng Shuhao Wang Rui zhang Linfeng zhang Qiang zhang beijing key laboratory of Green Chemical Reaction Engineering and technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China College of Chemistry and Chemical Engineering Taishan UniversityTaian 271021ShandongChina School of Chemistry The University of New South WalesSydneyNSW 2052Australia School of Materials science and Engineering&Advanced Research Institute of Multidisciplinary science Beijing Institute of TechnologyBeijing Institute of TechnologyBeijing 100081China DP technology Beijing 100080China AI for science Institute Beijing 100080Chin

Solid-state batteries have received increasing attention in scientific and industrial communities,which benefits from the intrinsically safe solid electrolytes(SEs).Although much effort has been devoted to designing SEs with high ionic conductivities,it is extremely difficult to fully understand the ionic diffusion mechanisms in SEs through conventional experimental and theoretical ***,the temperature-dependent concerted diffusion mechanism of ions in SEs is explored through machinelearning molecular dynamics,taking Li_(10)GeP_(2)S_(12) as a *** diffusion anisotropy,more disordered Li distributions,and shorter residence time are observed at a higher ***-type temperature dependence is maintained within a wide temperature range,which is attributed to the linear temperature dependence of jump frequencies of various concerted diffusion *** results provide a theoretical framework to understand the ionic diffusion mechanisms in SEs and deepen the understanding of the chemical origin of temperature-dependent concerted diffusions in SEs.

关键词： Solid-state batteries Solid electrolytes Concerted diffusion Machine-learning molecular dynamics

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Reliability evaluation of modular multilevel converter based on Markov model

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Journal of Modern Power systems and Clean Energy 2019年第5期7卷 1355-1363页

作者： Liang zhang Dan zhang Ting HUA Jihong ZHU Gang chen Tongzhen WEI Ting yang School of Power Electric Engineering Nanjing Institute of TechnologyNanjing 211167China state key laboratory of intelligent technology and systems Tsinghua UniversityBeijing 100084China School of Electronic information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China state Grid Jiangsu Electric Power Company Xuzhou Power Supply Company Xuzhou 221005China Institute of Electrical Engineering Chinese Academy of SciencesBeijing 100190China

The modular multilevel converter(MMC)is now the most attractive topology for medium and high voltage power conversion applications with several advantages over the traditional voltage source converter(VSC).However,due to a large number of sub-modules(SMs)in the MMC,system reliability is a big challenge in its practical application,where each SM may be considered as a potential point of *** this paper,a reliability evaluation based on the Markov model is proposed for the *** failure rates of the power electronic devices and SMs are firstly ***,the Markov model and the state transition equation of the system are built in detail.A general reliability evaluation function is established,in which the mean time to failure and reliability evaluation of the MMC with redundant SMs are also ***,a practical direct current(DC)distribution example for reliability evaluation is analyzed,and the results verify that the reliability evaluation based on the Markov model could provide a useful reference for project design.

关键词： Modular multilevel converters Reliability evaluation Markov model

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Tree species classification using deep learning and RGB optical images obtained by an unmanned aerial vehicle

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Journal of Forestry Research 2021年第5期32卷 1879-1888页

作者： chen zhang Kai Xia Hailin Feng Yinhui yang Xiaochen Du School of information Engineering Zhejiang A&F UniversityHangzhou 311300People’s Republic of China key laboratory of state Forestry and Grassland Administration on Forestry Sensing technology and intelligent Equipment Hangzhou 311300People’s Republic of China Zhejiang Provincial key laboratory of Forestry intelligent Monitoring and information technology Hangzhou 311300People’s Republic of China

The diversity of tree species and the complexity of land use in cities create challenging issues for tree species *** combination of deep learning methods and RGB optical images obtained by unmanned aerial vehicles(UAVs) provides a new research direction for urban tree species *** proposed an RGB optical image dataset with 10 urban tree species,termed TCC10,which is a benchmark for tree canopy classification(TCC).TCC10 dataset contains two types of data:tree canopy images with simple backgrounds and those with complex *** objective was to examine the possibility of using deep learning methods(AlexNet,VGG-16,and ResNet-50) for individual tree species *** results of convolutional neural networks(CNNs) were compared with those of K-nearest neighbor(KNN) and BP neural *** results demonstrated:(1) ResNet-50 achieved an overall accuracy(OA) of 92.6% and a kappa coefficient of 0.91 for tree species classification on TCC10 and outperformed AlexNet and VGG-16.(2) The classification accuracy of KNN and BP neural network was less than70%,while the accuracy of CNNs was relatively higher.(3)The classification accuracy of tree canopy images with complex backgrounds was lower than that for images with simple *** the deciduous tree species in TCC10,the classification accuracy of ResNet-50 was higher in summer than that in ***,the deep learning is effective for urban tree species classification using RGB optical images.

关键词： Urban forest Unmanned aerial vehicle(UAV) Convolutional neural network Tree species classification RGB optical images

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OTFS Modulation and PAPR Reduction for IoT-Railways

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china Communications 2023年第1期20卷 102-113页

作者： Huichao Shang Ruifeng chen Haoxiang zhang Guoyu Ma Ruisi He Bo Ai zhangdui zhong state key laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China Institute of Computing Technologies China Academy of Railway Sciences Co.Ltd.Beijing 100081China china Academy of Industrial Internet Ministry of Industry and Information TechnologyBeijing 100804China

The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and *** is important to achieve reliable communication in IoT for railways(IoT-R)under high mobility scenarios and strict energy *** time frequency space(OTFS)modulation is a two-dimensional modulation technique that has the potential to overcome the challenges in high Doppler *** addition,OTFS can have lower peak-to-average power ratio(PAPR)compared to orthogonal frequency division multiplexing,which is especially important for the application of ***,OTFS modulation for IoT-R is investigated in this *** order to decrease PAPR of OTFS and promote the application of OTFS modulation in IoT-R,the peak windowing technique is used in this *** technique can reduce the PAPR of OTFS by reducing the peak power and does not require multiple *** impacts of different window functions,window sizes and clipping levels on PAPR and bit error rate of OTFS are simulated and *** simulation results show that the peak windowing technique can efficiently reduce the PAPR of OTFS for IoT-R.

关键词： internet of things for railways(IoT-R) orthogonal time frequency space(OTFS) peak-toaverage power ratio(PAPR) peak windowing

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Achieving T-Type Photochromism through Generating Copper(I)Metallacyclopentadiene Biradical

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CCS Chemistry 2022年第12期4卷 3832-3841页

作者： Xu zhang Jin-Yun Wang Liang-Jin Xu Xu-Yuan Jin Xin yang Li-Yi zhang zhong-Ning chen state key laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhouFujian 350002 Fujian science and technology Innovation laboratory for Optoelectronic information of china FuzhouFujian 350108 university of Chinese Academy of sciences Beijing 100039

Photochromism due to organometallic ring-closure through C−C linkage has never been *** this work,we report a preliminary approach to achieve T-type photochromism by creating a metallacyclopentadiene biradical under light irradiation.A class of CuPt2 phenylacetylide compounds was prepared with distinguished photochromic recyclability and durability,which involved the formation of thermally sensitive copper(I)-butadienyl,five-membered ring through copper(I)-participated *** UV light irradiation,the metallacyclopentadiene with copper(I)center chelated by 1,3-butadiene-1,4-diyl biradical was generated through photochemical C-C linkage of two face-to-face oriented ethynyl units in close proximity,giving rise to a drastic change in UV-vis absorption *** UV light irradiation was ceased,decoloration occurred through thermal cycloreversion,which endowed the photochromic CuPt2 complexes with self-recovery *** paramagnetic resonance(EPR)spectral study confirmed a biradical feature of a ring-closed *** thermal decoloration half-lives at ambient temperature were regulated from seconds to hours by increasing F substituents in phenylethynyl ligands.

关键词： heteronuclear complex photochromism biradical organometallic ring-closure thermal cycloreversion

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A pigeon-inspired optimization algorithm for many-objective optimization problems

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science china(information sciences) 2019年第7期62卷 131-138页

作者： Zhihua CUI Jiangjiang zhang Yechuang WANG yang CAO Xingjuan CAI Wensheng zhang Jinjun chen Complex System and Computational Intelligence laboratory Taiyuan University of Science and Technology beijing Institute of Petrochemical technology Faculty of information technology Beijing University of Technology state key laboratory of intelligent Control and Management of Complex systems Institute of Automation Chinese Academy of Sciences School of Software University of Technology Sydney

Dear editor,Swarm intelligence optimization algorithms are inspired by the behaviour of biological groups in nature. Such algorithms have the advantages of a clear structure, simple operation, comprehensible principles, strong parallelism, effective search abilities, and strong robustness. They can effectively solve difficult problems that traditional methods cannot. Pigeon-inspired optimization (PIO), a novel biomimetic swarm intelligence optimization algorithm, was proposed by Duan and Qiao in

关键词： A pigeon-inspired optimization algorithm for many-objective optimization problems Pareto

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