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6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021

作者： Deng, Huiqiong Li, Qinbin Zheng, Rongjin Li, Peiqiang Chang, Kuo-Chi School of Information Science and Engineering Fujian University of Technology No. 3 Xueyuan Road University Town Minhou Fuzhou Fujian350118 China Fujian Provincial University Engineering Research Center of Smart Grid Simulation Analysis and Integrated Control Fuzhou Fujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No. 3 Xueyuan Road University Town Minhou Fuzhou Fujian350118 China College of Mechanical & Electrical Engineering National Taipei University of Technology No. 1 Section 3 Zhongxiao East Road Taipei10608 Taiwan Department of Business Administration North Borneo University College Lot 47 Block-F Alamesra Permai Plaza 2 Jln Sulaman Kota Kinabalu Sabah88400 Malaysia

ISBN: (纸本)9783030697167

This article introduces a method by which the power grid's security level can be observed in advance based on the expected initial failure. Firstly, based on the general form of cascading trip, this paper gives a mathematical expression of grid tripping based on cascading trip relay protection action behavior. According to the mathematical expression, the relationship between grid tripping and grid node injection power is discussed. According to this relationship, the distance between the node injection power under the current operation state and the nearest critical state node injection power is taken as the index to measure the power grid's security for cascading trip. According to this index, combined with various power grid constraints before and after the initial fault, a mathematical model for obtaining this safety index is given. This model is an optimized mathematical model. For the model, this paper gives a solution idea based on particle swarm. Finally, a few cases are performed in the IEEE-14 node system, and the calculations of the cases proved the accuracy of the proposed model and method. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Electric load flow

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Structure-aware random fourier kernel for graphs 21

Structure-aware random fourier kernel for graphs

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Proceedings of the 35th International Conference on Neural Information Processing Systems

作者： Jinyuan Fang Qiang Zhang Zaiqiao Meng Shangsong Liang School of Computer Science and Engineering Sun Yat-sen University China and Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Hangzhou Innovation Center Zhejiang University China and College of Computer Science and Technology Zhejiang University China and AZFT Knowledge Engine Lab China School of Computing Science University of Glasgow United Kingdom and Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates School of Computer Science and Engineering Sun Yat-sen University China and Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China and Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates

ISBN: (纸本)9781713845393

Gaussian Processes (GPs) define distributions over functions and their generalization capabilities depend heavily on the choice of kernels. In this paper, we propose a novel structure-aware random Fourier (SRF) kernel for GPs that brings several benefits when modeling graph-structured data. First, SRF kernel is defined with a spectral distribution based on the Fourier duality given by the Bochner's theorem, transforming the kernel learning problem to a distribution inference problem. Second, SRF kernel admits a random Fourier feature formulation that makes the kernel scalable for optimization. Third, SRF kernel enables to leverage geometric structures by taking subgraphs as inputs. To effectively optimize GPs with SRF kernel, we develop a variational EM algorithm, which alternates between an inference procedure (E-step) and a learning procedure (M-step). Experimental results on five real-world datasets show that our model can achieve state-of-the-art performance in two typical graph learning tasks, i.e., object classification and link prediction.

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Gene signatures associated with genomic aberrations predict prognosis in neuroblastoma

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Cancer Communications 2020年第2期40卷 105-118页

作者： Xiaoyan He Chao Qin Yanding Zhao Lin Zou Hui Zhao Chao Cheng Center for Clinical Molecular Medicine Ministry of Education Key Laboratory of Child Development and DisordersNational Clinical Research Center for Child Health and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChongqing Key Laboratory of PediatricsChildren’s Hospital of Chongqing Medical UniversityChongqing 400014P.R.China Beijing Key Lab of Traffic Data Analysis and Mining School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijing 100044P.R.China Department of Biomedical Data Science Geisel School of Medicine at DartmouthLebanonNH 03766USA School of Biomedical Sciences Faculty of MedicineThe Chinese University of Hong KongHong Kong 999077P.R.China Department of Medicine Baylor College of MedicineHoustonTX 77030USA Institute for Clinical and Translational Research Baylor College of MedicineHoustonTX 77030USA

Background:Neuroblastoma(NB)is a heterogeneous disease with respect to genomic abnormalities and clinical *** recent advances in our understanding of the association between the genetic aberrations and clinical features,it remains one of the major challenges to predict prognosis and stratify patients for determining personalized therapy in this *** aim of this study was to develop an effective prognosis prediction model for NB ***:We integrated diverse computational analyses to define gene signatures that reflect MYCN activity and chromosomal aberrations including deletion of chromosome 1p(Chr1p_del)and chromosome 11q(Chr11q_del)as well as chromosome 11q whole loss(Chr11q_wls).We evaluated the prognostic and predictive values of these signatures in seven NB gene expression datasets(the number of samples ranges from 94 to 498,with a total of 2120)generated from both RNA sequencing and microarray ***:MYCN signature was a more effective prognostic marker than MYCN amplification status and MYCN ***,the Chr1p_del score was more prognostic than Chr1p *** activity scores of MYCN,Chr1p_del and Chr11q_del were associated with poor prognosis,while the Chr11q_wls score was linked to good *** integrated the activity scores of MYCN,Chr1p_del,Chr11q_del,and Chr11q_wls and clinical variables into an integrative prognostic model,which displayed significant performance over the clinical variables or each genomic aberration ***:Our integrative gene signature model shows a significantly improved forecast performance with prognostic and predictive information,and thereby can be served as a biomarker to stratify NB patients for prognosis evaluation and surveillance programs.

关键词： chromosome aberration gene expression profile MYCN gene neuroblastoma prognosis survival analysis

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Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993-2017

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国家科学评论（英文版） 2022年第5期9卷 149-161页

作者： Zhen Zhang Benjamin Poulter Sara Knox Ann Stavert Gavin McNicol Etienne Fluet-Chouinard Aryeh Feinberg Yuanhong Zhao Philippe Bousquet Josep G.Canadell Anita Ganesan Gustaf Hugelius George Hurtt Robert B.Jackson Prabir K.Patra Marielle Saunois Lena H?glund-lsaksson Chunlin Huang Abhishek Chatterjee Xin Li Department of Geographical Sciences University of MarylandCollege ParkMD 20742USA Biospheric Sciences Laboratory NASA Goddard Space Flight CenterGreenbeltMD 20771USA Department of Geography University of British ColumbiaVancouver V6T 1Z2Canada Global Carbon Project CSIRO Oceans and AtmosphereCanberraACT 2601Australia Department of Earth and Environmental Sciences University of Illinois ChicagoChicagoIL 60607USA Department of Earth System Science Stanford UniversityStanfordCA 94305USA Institute for Data Systems and SocietyMassachusetts Institute of TechnologyCambridgeMA 02139USA College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266000China Laboratoire des Sciences du Climat et de I'Environment LSCE-IPSL(CEA-CNRS-UVSQ)Université Paris-SaclayGif-sur-Yvette 91191France School of Geographical Sciences University of BristolBristol BS8 1RLUK Department of Physical Geography and Bolin Centre for Climate Research Stockholm UniversityStockholm SE-10691Sweden Department of Earth System Science Stanford UniversityStanfordCA 94305USA Woods Institute for the Environment and Precourt Institute for Energy Stanford UniversityStanfordCA 94305USA Research Institute for Global Change JAMSTECYokohama 236-0001Japan International Institute for Applied Systems Analysis(IIASA) Laxenburg A-2361Austria Northwest Institute of Eco-Environment and Resources Chinese Academy of SciencesLanzhou 730000China Global Modeling and Assimilation Office NASA Goddard Space Flight CenterGreenbeltMD 20771USA Universities Space Research Association ColumbiaMD 21046USA Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China

Atmospheric methane(CH4)concentrations have shown a puzzling resumption in growth since 2007 following a period of stabilization from 2000 to *** hypotheses have been proposed to explain the temporal variations in CH4 growth,and attribute the rise of atmospheric CH4 either to increases in emissions from fossil fuel activities,agriculture and natural wetlands,or to a decrease in the atmospheric chemical ***,we use a comprehensive ensemble of CH4 source estimates and isotopic δ13C-CH4 source signature data to show that the resumption of CH4 growth is most likely due to increased anthropogenic *** emission scenarios that have the fewest biases with respect to isotopic composition suggest that the agriculture,landfill and waste sectors were responsible for 53±13％of the renewed growth over the period 2007-2017 compared to 2000-2006;industrial fossil fuel sources explained an additional 34±24％,and wetland sources contributed the least at 13±9％.The hypothesis that a large increase in emissions from natural wetlands drove the decrease in atmospheric δ13C-CH4 values cannot be reconciled with current process-based wetland CH4 *** finding suggests the need for increased wetland measurements to better understand the contemporary and future role of wetlands in the rise of atmospheric methane and climate *** findings highlight the predominant role of anthropogenic activities in driving the growth of atmospheric CH4 concentrations.

关键词： greenhouse gas carbon cycle climate mitigation wetland methane isotope

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Near-Stoichiometric and Homogenized Perovskite Films for Solar Cells with Minimized Performance Variation

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Angewandte Chemie 2023年第17期135卷

作者： Wenhuai Feng Junlei Tao Gengling Liu Guo Yang Dr. Jun-Xing Zhong Yuxuan Fang Li Gong Prof. Shaopeng Yang Prof. Wu-Qiang Wu Key Laboratory of Bioinorganic and Synthetic Chemistry (MoE) Lehn Institute of Functional Materials School of Chemistry Sun Yat-sen University Guangzhou 510006 China Contribution: Data curation (lead) Investigation (lead) Writing - original draft (lead) Province-Ministry Co-construction Collaborative Innovation Center of Hebei Photovoltaic Technology College of Physics Science and Technology Hebei University Baoding 071002 China Contribution: Data curation (equal) Formal analysis (equal) Contribution: Data curation (supporting) Formal analysis (supporting) Writing - original draft (supporting) Contribution: Data curation (supporting) Resources (supporting) Instrumental Analysis Research Center Sun Yat-sen University Guangzhou 510275 China Contribution: Data curation (supporting) Contribution: Conceptualization (lead) Funding acquisition (lead) Project administration (lead) Writing - original draft (lead) Writing - review & editing (lead)

Mixed-cation, small band-gap perovskites via rationally alloying formamidinium (FA) and methylammonium (MA) together have been widely employed for blade-coated perovskite solar cells with satisfied efficiencies. One of the stringent challenges lies in difficult control of the nucleation and crystallization kinetics of the perovskites with mixed ingredients. Herein, a pre-seeding strategy by mixing FAPbI 3 solution with pre-synthesized MAPbI 3 microcrystals has been developed to smartly decouple the nucleation and crystallization process. As a result, the time window of initialized crystallization has been greatly extended by 3 folds (i.e. from 5 s to 20 s), which enables the formation of uniform and homogeneous alloyed-FAMA perovskite films with designated stoichiometric ratios. The resultant blade-coated solar cells achieved a champion efficiency of 24.31 % accompanied by outstanding reproducibility with more than 87 % of the devices showing efficiencies higher than 23 %.

关键词： Blade-Coating Chemical Homogeneity Crystal Pre-Seeding Perovskite Solar Cells

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The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels (vol 400, pg 1619, 2022)

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LANCET 2022年第10365期400卷 1766-1766页

作者： Romanello, M. Di Napoli, C. Drummond, P. Institute for Global Health University College London London UK School of Agriculture Policy and Development University of Reading Reading UK Institute for Sustainable Resources University College London London UK Department of Global Health Centre for Health and the Global Environment University of Washington Seattle WA USA UCL Energy Institute University College London London UK Department of Health Sciences University of York York UK Department of Meteorology University of Reading Reading UK Institute for Risk and Disaster Reduction University College London London UK School of Earth and Environment University of Leeds Leeds UK Centre on Climate Change and Planetary Health London School of Hygiene & Tropical Medicine London UK School of Population Health University of Melbourne Melbourne VIC Australia Department of Earth System Science Tsinghua University Beijing China Mercator Research Institute on Global Commons and Climate Change Berlin Germany Department of Environment Climate Change and Health World Health Organization Geneva Switzerland Institute of Environmental Sciences University of Geneva Geneva Switzerland Cardiovascular Epidemiology Unit Department of Public Health & Primary Care University of Cambridge Cambridge UK School of Government University of Birmingham Birmingham UK Economic Analysis of Climate Impacts and Policy Division Centro Euro-Mediterraneo sui Cambiamenti Climatici Venice Italy Institute for Environmental Design and Engineering University College London London UK Natural Resources Institute University of Greenwich London UK Department of Environmental Health Sciences and Yale Center on Climate Change and Health Yale University New Haven CT USA Department of Civil and Environmental Engineering Northeastern University Boston MA USA Department of Fish and Wildlife Conservation Virginia Polytechnic Institute and State University Blacksburg VA USA Department of Geography University College London London UK NU

With advancements in the science of detection and attribution studies, the influence of climate change over many events has now been quantified. Because of the rapidly increasing temperatures, vulnerable populations (adults older than 65 years, and children younger than one year of age) were exposed to 3·7 billion more heatwave days in 2021 than annually in 1986–2005 (indicator 1.1.2), and heat-related deaths increased by 68% between 2000–04 and 2017–21 (indicator 1.1.5), a death toll that was significantly exacerbated by the confluence of the COVID-19 pandemic. Despite the local cooling and overall health benefits of urban greenspaces, only 277 (27%) of 1038 global urban centres were at least moderately green in 2021 (indicator 2.2.3), and the number of households with air conditioning increased by 66% from 2000 to 2020, a maladaptive response that worsens the energy crisis and further increases urban heat, air pollution, and greenhouse gas emissions. [...]millions of people do not have access to the energy needed to keep their homes at healthy temperatures, preserve food and medication, and meet the seventh Sustainable Development Goal (to ensure access to affordable, reliable, sustainable, and modern energy for all). Aggravating this situation even further, governments continue to incentivise fossil fuel production and consumption: 69 (80%) of 86 countries reviewed had net-negative carbon prices (ie, provided a net subsidy to fossil fuels) for a net total of US$400 billion

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Prospect of 5g application in civil airport 1

Prospect of 5g application in civil airport

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1st IEEE International Conference on Civil Aviation Safety and Information technology, ICCASIT 2019

作者： Le, Ningning Zheng, Yinger Huang, Qian Pei, Yanqiu Big Data Analysis and Application Center China Academy of Civil Aviation Science and Technology Beijing China Service Lab Huawei Research Institute Huawei Technology Co. Ltd Beijing China China University of Mining and Technology College of Geoscience and Surveying Engineering Beijing China

ISBN: (纸本)9781728125985

With the rapid growth of China's civil aviation transportation volume, the airport has entered the era of big data in which data is massive, diversified, and converted at high speeds. Achievements for intelligent application of big data based on 5G technology have become an indispensable component of smart airports. Based on the characteristics of 5G technology, this paper combines various state-of-art technologies including Discrete Global Grid Systems, Complex Network, Artificial Intelligence, to prospect the application scenarios of 5G in airport, as efficient and secure wide-area wireless communication system, IoT-based smart monitoring, airport unmanned driving, high-speed entertainment experience, intelligent passenger service. © 2019 IEEE.

关键词： Big data

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Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993-2017

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National science Review 2022年第5期9卷 154-166页

作者：张臻 Benjamin Poulter Sara Knox Ann Stavert Gavin McNicol Etienne Fluet-Chouinard Aryeh Feinberg 赵园红 Philippe Bousquet Josep G.Canadell Anita Ganesan Gustaf Hugelius George Hurtt Robert B.Jackson Prabir K.Patra Marielle Saunois Lena H?glund-Isaksson 黄春林 Abhishek Chatterjee 李新 Department of Geographical Sciences University of Maryland Biospheric Sciences Laboratory NASA Goddard Space Flight Center Department of Geography University of British Columbia Global Carbon Project CSIRO Oceans and Atmosphere Department of Earth and Environmental Sciences University of Illinois Chicago Department of Earth System Science Stanford University Institute for Data Systems and Society Massachusetts Institute of Technology College of Oceanic and Atmospheric Sciences Ocean University of China Laboratoire des Sciences du Climat et de l’Environment LSCE-IPSL (CEA-CNRS-UVSQ)Université Paris-Saclay School of Geographical Sciences University of Bristol Department of Physical Geography and Bolin Centre for Climate Research Stockholm University Woods Institute for the Environment and Precourt Institute for Energy Stanford University Research Institute for Global Change JAMSTEC International Institute for Applied Systems Analysis (IIASA) Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Global Modeling and Assimilation Office NASA Goddard Space Flight Center Universities Space Research Association Institute of Tibetan Plateau Research Chinese Academy of Sciences

Atmospheric methane（CH4） concentrations have shown a puzzling resumption in growth since 2007 following a period of stabilization from 2000 to *** hypotheses have been proposed to explain the temporal variations in CH4growth,and attribute the rise of atmospheric CH4either to increases in emissions from fossil fuel activities,agriculture and natural wetlands,or to a decrease in the atmospheric chemical ***,we use a comprehensive ensemble of CH4source estimates and isotopic δ13C-CH4source signature data to show that the resumption of CH4growth is most likely due to increased anthropogenic *** emission scenarios that have the fewest biases with respect to isotopic composition suggest that the agriculture,landfill and waste sectors were responsible for 53±13% of the renewed growth over the period 2007-2017 compared to 2000-2006;industrial fossil fuel sources explained an additional 34 ±24%,and wetland sources contributed the least at 13 ±9%.The hypothesis that a large increase in emissions from natural wetlands drove the decrease in atmospheric δ13C-CH4values cannot be reconciled with current process-based wetland *** finding suggests the need for increased wetland measurements to better understand the contemporary and future role of wetlands in the rise of atmospheric methane and climate *** findings highlight the predominant role of anthropogenic activities in driving the growth of atmospheric CH4concentrations.

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Roles of four feedback loops in mitochondrial permeability transition pore opening induced by Ca2+ and reactive oxygen species

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Physical Review E 2020年第6期102卷 062422-062422页

作者： Hong Qi Guoping Xu Xiao-Long Peng Xiang Li Jianwei Shuai Rui Xu Complex Systems Research Center Shanxi University Taiyuan 030006 China Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention Shanxi University Taiyuan 030006 China Department of Physics College of Physical Science and Technology Xiamen University Xiamen 361005 China State Key Laboratory of Cellular Stress Biology Innovation Center for Cell Signaling Network Xiamen University Xiamen 361102 China National Institute for Data Science in Health and Medicine Xiamen University Xiamen 361102 China

Transient or sustained permeability transition pore (PTP) opening is important in normal physiology or cell death, respectively. These are closely linked to Ca2+ and reactive oxygen species (ROS). The entry of Ca2+ into mitochondria regulates ROS production, and both Ca2+ and ROS trigger PTP opening. In addition to this feedforward loop, there exist four feedback loops in the Ca2+-ROS-PTP system. ROS promotes Ca2+ entering (F1) and induces further ROS generation (F2), forming two positive feedback loops. PTP opening results in the efflux of Ca2+ (F3) and ROS (F4) from the mitochondria, forming two negative feedback loops. Owing to these complexities, we construct a mathematical model to dissect the roles of these feedback loops in the dynamics of PTP opening. The qualitative agreement between simulation results and recent experimental observations supports our hypothesis that under physiological conditions the PTP opens in an oscillatory state, while under pathological conditions it opens in a high steady state. We clarify that the negative feedback loops are responsible for producing oscillations, wherein F3 plays a more prominent role than F4; whereas the positive feedback loops are beneficial for maintaining oscillation robustness, wherein F1 has a more dominant role than F2. Furthermore, we manifest that the proper increase in negative feedback strength or decrease in positive feedback strength not only facilitates the occurrence of oscillations and thus protects the system against a high steady state, but also assists in lowering the oscillation peak. This study may provide potential therapeutic strategies in treating neurodegenerative diseases due to PTP dysfunction.

关键词： Bifurcations Calcium signaling Dynamical systems

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PropellervsQuasi-Planar 6-Cantilever Small Molecular Platforms with Extremely Two-Dimensional Conjugated Extension

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Angewandte Chemie 2023年第49期135卷

作者： Zheng Xu Shitong Li Fangfang Huang Tengfei He Xinyuan Jia Huazhe Liang Yaxiao Guo Guankui Long Bin Kan Zhaoyang Yao Chenxi Li Xiangjian Wan Yongsheng Chen State Key Laboratory of Elemento-Organic Chemistry Frontiers Science Center for New Organic Matter The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials Renewable Energy Conversion and Storage Center (RECAST) Tianjin Key Laboratory of functional polymer materials College of Chemistry Nankai University Tianjin 300071 China Contribution: Conceptualization (lead) Data curation (lead) Investigation (lead) Contribution: Data curation (lead) Formal analysis (lead) Investigation (lead) Contribution: Conceptualization (lead) Data curation (lead) Formal analysis (lead) Contribution: Data curation (equal) Formal analysis (equal) State Key Laboratory of Separation Membranes and Membrane Processes School of Chemistry Tiangong University Tianjin 300387 China Contribution: Formal analysis (equal) School of Materials Science and Engineering National Institute for Advanced Materials Nankai University Tianjin 300350 China Contribution: Conceptualization (lead) Data curation (lead) Funding acquisition (equal) Investigation (lead) Supervision (lead) Writing - original draft (lead) Contribution: Formal analysis (equal) Funding acquisition (lead) Contribution: Conceptualization (lead) Formal analysis (lead) Funding acquisition (lead) Investigation (lead) Supervision (lead) Writing - review & editing (lead)

Two exotic 6-cantilever small molecular platforms, characteristic of quite different molecular configurations of propeller and quasi-plane, are established by extremely two-dimensional conjugated extension. When applied in small molecular acceptors, the only two cases of CH25 and CH26 that could contain six terminals and such broad conjugated backbones have been afforded thus far, rendering featured absorptions, small reorganization and exciton binding energies. Moreover, their distinctive but completely different molecular geometries result in sharply contrasting nanoscale film morphologies. Finally, CH26 contributes to the best device efficiency of 15.41 % among acceptors with six terminals, demonstrating two pioneered yet highly promising 6-cantilever molecular innovation platforms.

关键词： 6-Cantilever Molecule Configuration Tuning Organic Semiconductor Organic Solar Cells Two-Dimensional Conjugation

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