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arXiv 2023年

作者： Luu, Hoang Nhan Liu, Tao Ren, Jing Broadhurst, Tom Yang, Ruizhi Wang, Jie-Shuang Xie, Zhen Department of Physics Jockey Club Institute for Advanced Study The Hong Kong University of Science and Technology Hong Kong DIPC Basque Country UPV/EHU San SebastianE-48080 Spain Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of the Basque Country UPV/EHU Department of Theoretical Physics BilbaoE-48080 Spain Ikerbasque Basque Foundation for Science BilbaoE-48011 Spain Deep Space Exploration Laboratory School of Physical Sciences CAS Key Laboratory for Research in Galaxies and Cosmology Department of Astronomy School of Astronomy and Space Science University of Science and Technology of China Hefei230026 China Max-Planck-Institut für Kernphysik Saupfercheckweg 1 HeidelbergD-69117 Germany

Pulsar timing arrays (PTAs) can detect disturbances in the fabric of spacetime on a galactic scale by monitoring the arrival time of pulses from millisecond pulsars (MSPs). Recent advancements have enabled the use of γ-ray radiation emitted by MSPs, in addition to radio waves, for PTA experiments. Wave dark matter (DM), a prominent class of DM candidates, can be detected with PTAs due to its periodic perturbations of the spacetime metric. In response to this development, we perform in this Letter a first analysis of applying the γ-ray PTA to detect the ultralight axion-like wave DM, with the data of Fermi Large Area Telescope (Fermi-LAT). Despite its much smaller collecting area, the Fermi-LAT γ-ray PTA demonstrates a promising sensitivity potential. We show that the upper limits not far from those of the dedicated radio-PTA projects can be achieved. Moreover, we initiate a cross-correlation analysis using the data of two Fermi-LAT pulsars. The cross-correlation of phases, while carrying key information on the source of the spacetime perturbations, has been ignored in the existing data analyses for the wave DM detection with PTAs. Our analysis indicates that taking this information into account can improve the sensitivity to wave DM by 50% at masses below 10−23 eV. © 2023, CC BY.

关键词： Pulsars

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AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence 1st

AIoT Bench: Towards Comprehensive Benchmarking Mobile and Em...

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1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018

作者： Luo, Chunjie Zhang, Fan Huang, Cheng Xiong, Xingwang Chen, Jianan Wang, Lei Gao, Wanling Ye, Hainan Wu, Tong Zhou, Runsong Zhan, Jianfeng State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Beijing Academy of Frontier Science and Technology Beijing China Dover United Kingdom China National Institute of Metrology Beijing China China Software Testing Center Beijing China

ISBN: (纸本)9783030328122

Due to increasing amounts of data and compute resources, the deep learning achieves many successes in various domains. Recently, researchers and engineers make effort to apply the intelligent algorithms to the mobile or embedded devices. In this paper, we propose a benchmark suite, AIoT Bench, to evaluate the AI ability of mobile and embedded devices. Our benchmark (1) covers different application domains, e.g. image recognition, speech recognition and natural language processing;(2) covers different platforms, including Android and Raspberry Pi;(3) covers different development frameworks, including TensorFlow and Caffe2;(4) offers both end-to-end application workloads and micro workloads. © 2019, Springer Nature Switzerland AG.

关键词： Benchmarking

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Implementation and security analysis of practical quantum secure direct communication

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Light(science & Applications) 2019年第1期8卷 975-982页

作者： Ruoyang Qi Zhen Sun Zaisheng Lin Penghao Niu Wentao Hao Liyuan Song Qin Huang Jiancun Gao Liuguo Yin Gui-Lu Long State Key Laboratory of Low-imensional Quantum Physics and Department of Physics Tsinghua UniversityBeijing 100084China School of Information and Technology Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Beijing 100084China School of Electronic and Information Engineering Beihang UniversityBeijing 100191China Innovative Center of Quantum Matter Beijing 100084China Beijing Academy of Quantum Information Science Beijing 100193China

Rapid development of supercomputers and the prospect of quantum computers are posing increasingly serious threats to the security of *** the principles of quantum mechanics,quantum communication offers provable security of communication and is a promising solution to counter such *** secure direct communication(QSDC)is one important branch of quantum *** contrast to other branches of quantum communication,it transmits secret information ***,remarkable progress has been made in proof-of-principle experimental demonstrations of ***,it remains a technical feat to bring QSDC into a practical ***,we report the implementation of a practical quantum secure communication *** security is analyzed in the Wyner wiretap channel *** system uses a coding scheme of concatenation of lowdensity parity-check(LDPC)codes and works in a regime with a realistic environment of high noise and high *** present system operates with a repetition rate of 1 MHz at a distance of 1.5 *** secure communication rate is 50 bps,sufficient to effectively send text messages and reasonably sized files of images and sounds.

关键词： theory quantum proof

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A time-resolved proteotranscriptomics atlas of the human placenta reveals pan-cancer immunomodulators

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Signal Transduction and Targeted Therapy 2020年第1期5卷 1479-1481页

作者： Na Ding Botao Zhang Wantao Ying Jie Song Lin Feng Kaitai Zhang Hongxia Li Juan Xu Ting Xiao Shujun Cheng College of Bioinformatics Science and Technology Harbin Medical UniversityHarbin 150081China State Key Laboratory of Molecular Oncology Department of Etiology and CarcinogenesisNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of Neurooncology Neurosurgery CenterBeijing Tiantan HospitalCapital Medical UniversityBeijing 100070China State Key Laboratory of Proteomics Beijing Proteome Research CenterNational Center for Protein Sciences(Beijing)Beijing Institute of LifeomicsBeijing 102206China Department of Obstetrics and Gynecology Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China

Dear Editor,The placenta separates fetus and mother,with the trophoblast playing a most important role in defense against potential harm from the maternal immune *** the placenta is normal tissue,it shares several common features with malignant cells.1 Based on similar strategies,these cells are able to successfully coexist in an immunologically hostile environment.2 A detailed analysis and comparison of different placental model systems will not only contribute to our in-depth understanding of the exciting field of placental development research but also may offer valuable insights on the broad field of cancer studies.

关键词： mother fetus resolved

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Hybrid recommendation algorithm based on weighted bipartite graph and logistic regression 1

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2nd CCF International Conference on Artificial Intelligence, CCF-ICAI 2019

作者： Song, Wei Shao, Pengwei Liu, Peng School of Information Science and Technology North China University of Technology Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data Beijing100144 China

ISBN: (数字)9789813292987

ISBN: (纸本)9789813292970

Bipartite graph-based recommendation is a key topic in the field of recommender systems. Using logistic regression, a new recommendation algorithm based on a bipartite graph is proposed. First, the weights of the bipartite graph and the similarity of users are defined. Then, a recommendation list based on the bipartite graph is generated. Next, items in the recommendation list are re-sorted using the classification results of logistic regression. Furthermore, a balance factor is proposed to measure the accuracy and diversity of a recommender system comprehensively. Experimental results show that the recommendation results of the proposed algorithm are good. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Recommender systems

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Fast tree skeleton extraction using voxel thinning based on tree point cloud

arXiv

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arXiv 2021年

作者： Sun, Jingqian Wang, Pei Li, Ronghao Zhou, Mei School of Science Beijing Forestry University No.35 Qinghua East Road Haidian District Beijing100083 China Key Laboratory of Quantitative Remote Sensing Information Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China

Tree skeleton plays an important role in tree structure analysis, forest inventory and ecosystem monitoring. However, it is a challenge to extract a skeleton from a tree point cloud with complex branches. In this paper, an automatic and fast tree skeleton extraction method (FTSEM) based on voxel thinning is proposed. In this method, a wood-leaf classification algorithm was introduced to filter leaf points for the reduction of the leaf interference on tree skeleton generation, tree voxel thinning was adopted to extract raw tree skeleton quickly, and a breakpoint connection algorithm was used to improve the skeleton connectivity and completeness. Experiments were carried out in Haidian Park, beijing, in which 24 trees were scanned and processed to obtain tree skeletons. The graph search algorithm (GSA) is used to extract tree skeletons based on the same datasets. Compared with GSA method, the FTSEM method obtained more complete tree skeletons. And the time cost of the FTSEM method is evaluated using the runtime and time per million points (TPMP). The runtime of FTSEM is from 1.0 s to 13.0 s, and the runtime of GSA is from 6.4 s to 309.3 s. The average value of TPMP is 1.8 s for FTSEM, and 22.3 s for GSA respectively. The experimental results demonstrate that the proposed method is feasible, robust, and fast with a good potential on tree skeleton extraction. Copyright © 2021, The Authors. All rights reserved.

关键词： Extraction

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SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction

arXiv

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arXiv 2022年

作者： Pei, Qizhi Wu, Lijun Zhu, Jinhua Xia, Yingce Xie, Shufang Qin, Tao Liu, Haiguang Liu, Tie-Yan Yan, Rui Gaoling School of Artificial Intelligence Renmin University of China No.59 Zhong Guan Cun Avenue Haidian District Beijing100872 China Microsoft Research AI4Science No.5 Dan Ling Street Haidian District Beijing100080 China CAS Key Laboratory of GIPAS EEIS Department University of Science and Technology of China No.96 JinZhai Road Baohe District Anhui Province Hefei230026 China Engineering Research Center of Next-Generation Intelligent Search and Recommendation Ministry of Education China Beijing Key Laboratory of Big Data Management and Analysis Methods China

Accurate prediction of Drug-Target Affinity (DTA) is of vital importance in early-stage drug discovery, facilitating the identification of drugs that can effectively interact with specific targets and regulate their activities. While wet experiments remain the most reliable method, they are time-consuming and resource-intensive, resulting in limited data availability that poses challenges for deep learning approaches. Existing methods have primarily focused on developing techniques based on the available DTA data, without adequately addressing the data scarcity issue. To overcome this challenge, we present the SSM-DTA framework, which incorporates three simple yet highly effective strategies: (1) A multi-task training approach that combines DTA prediction with masked language modeling (MLM) using paired drug-target data. (2) A semi-supervised training method that leverages large-scale unpaired molecules and proteins to enhance drug and target representations. This approach differs from previous methods that only employed molecules or proteins in pre-training. (3) The integration of a lightweight cross-attention module to improve the interaction between drugs and targets, further enhancing prediction accuracy. Through extensive experiments on benchmark datasets such as BindingDB, DAVIS, and KIBA, we demonstrate the superior performance of our framework. Additionally, we conduct case studies on specific drug-target binding activities, virtual screening experiments, drug feature visualizations, and real-world applications, all of which showcase the significant potential of our work. In conclusion, our proposed SSM-DTA framework addresses the data limitation challenge in DTA prediction and yields promising results, paving the way for more efficient and accurate drug discovery processes. Our code is available at https://***/QizhiPei/SSM-DTA. Copyright © 2022, The Authors. All rights reserved.

关键词： Forecasting

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Elucidating Relay Catalysis on Copper Clusters With Satellite Single Atoms for Enhanced Urea Electrosynthesis

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Angewandte Chemie 2025年

作者： Xinyue Ma Baoguang Mao Zeqiang Yu Prof. Dan Wang Jing Xia Jianhua Hou Prof. Xiangmin Meng Husitu Lin Prof. Chuangang Hu State Key Laboratory of Organic-Inorganic Composites College of Chemical Engineering Beijing University of Chemical Technology Beijing 100029 China Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 China College of Environmental Science and Engineering Yangzhou University Yangzhou Jiangsu 225009 China

Relay catalysis represents significant efficacy in alleviating competition among different reactants during coupling reactions. However, a comprehensive understanding of the reaction mechanism underlying relay catalysis for the urea electrosynthesis remains challenging. Herein, we have developed a catalyst (Cu AC -Cu SA @NC) comprising Cu atomic clusters (Cu AC ) with satellite Cu─N 4 single atoms (Cu SA ) sites on the nitrogen-doped porous interconnected carbon skeleton (NC), enabling elucidation of a relay catalysis process for co-reduction of CO 2 and NO 3 − . The designed Cu AC -Cu SA @NC catalyst exhibits an approximately threefold higher urea yield rate compared to that of Cu SA @NC at −1.3 V versus RHE. Ex-situ experimental results and in-situ attenuated total reflection surface-enhanced infrared absorption spectroscopy analysis reveal a formation sequence between the *NH 2 and *NH 2 CO species on Cu AC -Cu SA @NC with increasing reduction potential. The combination of theoretical calculations further elucidates that the relay catalysis pathway involves “Cu AC ” sites facilitating the conversion of *NO 3 to *NO x , followed by a hydrogenation process to form *NH 2 with *H from water dissociation promoted by “Cu SA ” sites, which subsequently couples with *CO 2 to produce urea. This work provides novel insights into the investigation of coupling reactions, but not limit to, urea synthesis.

关键词： C─N coupling Cu clusters Electrocatalysis Relay catalysis Urea synthesis

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Expert Consensus on Polymyxin Antimicrobial Susceptibility testing and Clinical Interpretation

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Chinese Medical sciences Journal 2021年第1期36卷 1-16页

作者： Qiwen Yang Xiaoling Ma Fupin Hu Jing Zhang Tongwen Sun Baiyi Chen Yingchun Xu Youning Liu Chinese Committee on Antimicrobial Susceptibility testing(ChiCAST) Expert Committee on Infectious Diseases,China Medical Education Association Department of Clinical Laboratory State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China Department of Laboratory Medicine the First Affiliated HospitalUniversity of Science and Technology of ChinaHefei 230001China lnstitute of Antibiotics Huashan HospitalFudan UniversityShanghai 200040China General ICU the First Affiliated HospitalZhengzhou UniversityZhengzhou 450052China Department of Infectious Diseases the First Affiliated HospitalChina Medical UniversityShenyang 110001China Department of Respiratory Medicine the First Medical Center of PLA General HospitalBeijing 100853China 不详

The polymyxins are important antimicrobial agents against antibiotic-resistant gram-negative *** 2020,the Clinical and laboratory Standards Institute modified the clinical breakpoints for polymyxin susceptibility test by eliminating the"susceptible"interpretive category,only reporting intermediate(≤2 mg/L)and resistant(≥4 mg/L).However,the European Committee on Antimicrobial Susceptibility testing recommended the use of clinical breakpoints of W2 mg/L as susceptible and>2 mg/L as *** first-line laboratorians and clinicians in China have been perplexed by the inconsistence of international polymyxin clinical breakpoints and discouraged by the difficulty of conducting polymyxin susceptibility ***,it is urgently needed to make it clear for the laboratorians in China to know how to accurately carry out polymyxin susceptibility testing and standardize the interpretation of susceptibility testing *** this end,the experts from relevant fields were convened to formulate this consensus statement on the testing and clinical interpretation of polymyxin *** recommendations are proposed accordingly for laboratorians and clinicians to streamline their daily work.

关键词： polymyxin antimicrobial susceptibility testing clinical interpretation expert consensus

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What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F1 hybrid?

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Journal of Integrative Agriculture 2020年第7期19卷 1789-1801页

作者： WANG Xiu-juan KANG Meng-zhen FAN Xing-rong YANG Li-li ZHANG Bao-gui HUANG San-wen Philippe DE REFFYE WANG Fei-yue The State Key Laboratory of Management and Control for Cormplex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190P.R.China Bejjing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of SciencesBejing 100190P.R.China Innovation Center for Parallel Agriculture Qingdao Academy of Intelligent IndustriesQingdao 266109P.R.China School of Computer Science and Information Engineering Chongqing Technology and Business UniversityChongqing 400067P.R.China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083P.R.China College of Land Science and Technology China Agricultural UniversityBeijing 100193P.R.China Agricultural Genomes Institute at Shenzhen Chinese Academy of Agricultural SciencesShenzhen 518124P.R.China AMAP University MontpellierCIRADCNRSINRAIRDMontpellier 34000France The School of Computer and Control Engineering University of Chinese Academy of SciencesBeijing 100049P.R.China

To elucidate the mechanisms underlying the differences in yield formation among two parents(P1 and P2) and their F1 hybrid of cucumber, biomass production and whole source–sink dynamics were analyzed using a functional–structural plant model(FSPM) that simulates both the number and size of individual organs. Observations of plant development and organ biomass were recorded throughout the growth periods of the plants. The GreenLab Model was used to analyze the differences in fruit setting, organ expansion, biomass production and biomass allocation. The source–sink parameters were estimated from the experimental measurements. Moreover, a particle swarm optimization algorithm(PSO) was applied to analyze whether the fruit setting is related to the source–sink ratio. The results showed that the internal source–sink ratio increased in the vegetative stage and reached a peak until the first fruit setting. The high yield of hybrid F1 is the compound result of both fruit setting and the internal source–sink ratio. The optimization results also revealed that the incremental changes in fruit weight result from the increases in sink strength and proportion of plant biomass allocation for fruits. The model-aided analysis revealed that heterosis is a result of a delicate compromise between fruit setting and fruit sink strength. The organlevel model may provide a computational approach to define the target of breeding by combination with a genetic model.

关键词： cucumber biomass production functional-structural plant model source-sink ratio fruit-setting PSO heterosis

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