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Relationship between seismic structures and the diverse rupture processes of the 2023 Türkiye earthquake doublet

Science China Earth Sciences 2024年第9期67卷 2810-2823页

作者： zhi wang Yi FU Shunping PEI CAS Key Laboratory of Ocean and Marginal Sea Geology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China Key Laboratory of Tibetan Plateau Earth System Environment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Recent geodetic and seismological observations of two major earthquakes in southeastern Türkiye in February 2023 have revealed complex rupture initiation,propagation,and segmentation along the East Anatolian Fault Zone(EAFZ)and surrounding ***,the role of upper crust structures along the EAFZ in determining the diverse rupture processes of this earthquake doublet remains *** further investigate this,we employed double-difference location and seismic tomography techniques to determine high-resolution seismic velocities(V_(P),V_(S))and Poisson’s ratio(σ)structures using a multiparameter joint tomographic *** dataset includes 100,833 high-quality source-receiver travel-time pairs of P-and *** find that the unique rupture processes of this earthquake doublet were primarily influenced by contrasting crustal seismic structures and localized geological *** M_(w)7.8 mainshock was initiated within a transitional edge zone characterized by a rigid part(asperity)of the seismogenic zone with sharp contrast variations in rock strength ranging from low to high along the *** comparison,the M_(w)7.6 rupture originated in a ductile belt featuring fluid saturation with low-VP,low-VS,and high-σvalues that extended parallel to the Cardak *** pronounced contrast structures observed along the former rupture can be attributed to the oblique collision system between the weakened section of the east Anatolian plateau and the brittle Arabian platform,while the latter rupture was initiated within the ductile structure associated with fluid intrusion caused by the northward subduction of the Cyprus slab and subsequent ***,the occurrence of the first earthquake(E1)serves to alleviate shear stress on the second earthquake(E2)fault,potentially impeding the initiation of an E2 *** the contrary,this event also significantly reduces the normal stress acting on the E2 fault due to a double left-lateral strike-slip system

关键词： 2023 Turkiye earthquake doublet Joint seismic tomography Tomographic transition edge Seismic rupture process Strong fault coupling

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B_(c) meson and its scalar cousin with QCD sum rules

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Chinese Physics C 2024年第10期48卷 48-58页

作者： zhi-Gang wang Department of Physics North China Electric Power UniversityBaoding 071003China

In this study,we use the optical theorem to calculate the next-to-leading order corrections to the QCD spectral densities directly in the QCD sum rules for the pseudoscalar and scalar B_(c) *** use experimental data for guidance to perform an updated *** obtain the masses and,in particular,decay constants,which are the fundamental input parameters in high energy ***,we obtain the pure leptonic decay widths,which can be compared with experimental data in the future.

关键词： next-to-leading order contributions QCD sum rules

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Intelligent reflecting surfaces-assisted millimeter wave communication:Channel estimation based on deep learning

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The Journal of China Universities of Posts and Telecommunications 2024年第1期31卷 49-56页

作者： Kang Xiaofei wang Tian Liang xian College of Communication and Information Engineering Xi'an University of Science and TechnologyXi'an 710600China

In response to the challenge posed by the complexity of the system and the difficulty in obtaining accurate channel state information(CSI)for millimeter wave communication assisted by intelligent reflecting surfaces(IRS),we propose a deep learning-based channel estimation *** proposed scheme employs a hybrid active/passive IRS architecture,wherein the least square(LS)algorithm is initially utilized to acquire the channel estimate from the active ***,this estimation is interpolated to obtain a preliminary channel estimation and ultimately refined into an accurate estimate of the channel using the channel super-resolution convolutional neural network(Chan-SRCNN)deep learning *** simulation results demonstrate that the proposed scheme surpasses LS,orthogonal matching pursuit(OMP),synchronous OMP(SOMP),and deep neural network(DNN)channel estimation algorithms in terms of normalized mean squared error(NMSE)performance,thereby validating the feasibility of the proposed approach.

关键词： intelligent reflecting surface millimeter wave channel estimation deep learning

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Progress in processing of porous titanium:a review

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Rare Metals 2024年第5期43卷 1932-1955页

作者： Xiao-Li Yang xian-Feng Du zhi-Lin Xu Zhong-Shuai Liang Li-Long Xiong Engineering Research Center of Energy Storage Materials and Devices Ministry of EducationSchool of ChemistryXi'an Jiaotong UniversityXi'an 710049China

As a novel structural and functional material,porous titanium and its alloys have been widely used in the aerospace,marine engineering and biomedical fields due to their high corrosion resistance,low density,good biocompatibility and excellent mechanical ***,in this paper,a comprehensive review of powder metallurgy(PM)(including additive manufacturing(AM)processes)for fabricating porous titanium is firstly covered in terms of their working principles,capabilities,shortcomings and ***,the influencing factors of various methods on final pore structure of porous Ti are ***,a summary of the chemical methods(CM)to obtain the porous Ti is also provided,such as dealloying method and reduction ***,the tendency and direction of preparation technology as well as application of porous titanium were prospected.

关键词： Porous titanium Powder metallurgy Chemical method Pore structure Processing process

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Antiviral treatment standards for hepatitis B:An urgent need for expansion

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World Journal of Gastroenterology 2024年第4期30卷 418-420页

作者： Zi-Hong Bao zhi-Kun Dai Hao-xian Tang Department of Infectious Diseases The First Affiliated Hospital of Shantou University Medical CollegeShantou 515041Guangdong ProvinceChina Medical College Shantou University Medical CollegeShantou 515041Guangdong ProvinceChina Department of Cardiology The First Affiliated Hospital of Shantou University Medical CollegeShantou 515041Guangdong ProvinceChina

The present letter to the editor is related to the review with the title“Past,present,and future of long-term treatment for hepatitis B virus.”Chronic hepatitis B(CHB)represents an important and pressing public health *** identification and effective antiviral therapy hold the potential to reduce liver-related mortality attributable to chronic infection with hepatitis B virus(HBV)***,the current global treatment rates for CHB remain conspicuously low,with the excessively stringent treatment criteria advocated by national CHB guidelines being a contributing factor to these low ***,recent strides in comprehending this malady and the emergence of novel antiviral agents prompt the imperative re-evaluation of treatment standards to extend the sphere of potential *** impending need arises for a novel paradigm for the classification of patients with CHB,the expansion of antiviral treatment eligibility for HBV-infected individuals,and even the streamlining of the diagnostic process for CHB to amplify cost-effectiveness and augment survival prospects.

关键词： Hepatitis B virus Chronic hepatitis B Antiviral treatment criteria Serum alanine aminotransferase Liver-related mortality Letter to the Editor

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OPIOID　δ　RECEPTOR　IRREVERSIBLE　INHIBITORS　***　OF　ISOTHIOCYANATE　DERIVATIVES　OF　CARFENTANIL　AND　4-METHOXYMETHYLFENTANYL

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Chinese Chemical Letters 1995年第9期6卷 763-764页

作者： zhi xian wang Jing YANG , You Cheng ZHU and Ru Yun JI(Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 20003)(East China University of Science and Techology, Shanghai 200237) Chinese Acad Sci Shanghai Inst Mat Med Shanghai 200031 Peoples R China E China Univ Sci & Technol Shanghai 200237 Peoples R China

Abstract: The synthesis of isothiocyanate derivatives of carfentanil and 4-methoxymethyl-fentanyl was described.

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A rechargeable Ca/Cl_(2) battery

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Science China Chemistry 2024年第9期67卷 2794-2795页

作者： Shixun wang Chunyi zhi Department of Materials Science and Engineering City University of Hong KongHong Kong S.A.R.999077China Hong Kong Center for Cerebro-Cardiovascular Health Engineering(COCHE) ShatinNTHong Kong S.A.R.999077China

Multivalent metal-ion batteries have attracted wide attention with the expectation of tackling the needs of large-scale electrochemical energy storage[1].Among them,rechargeable calcium(Ca)-ion batteries are known as a promising alternative to conventional lithium(Li)-ion batteries due to the high abundance of calcium(the fifth most abundant element in the earth’s crust)and its large theoretical capacity(2,073 m Ah cm^(-3))and potential(-2.87 V *** hydrogen electrode,SHE)comparable to that of Li(-3.04 V ***).Furthermore,unlike monovalent cations,the divalent calcium cations favor a two-electron transfer to increase the specific energies[2].

关键词： valent lithium expectation

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OPIOID　δ　RECEOTIR　IRREVERSIBLE　INHIBITORS　***　OF　AMIDE　ANALOGHES　OF　SUPERFIT　CARFIT　AND　METHOFIT

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Chinese Chemical Letters 1995年第9期6卷 765-768页

作者： zhi xian wang Wu Cheng ZHU and Ru Yun JI(Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 200031)

Abstract: The Synthesis of 2-furancarboxamide, 2-thiopllenecarboxamide and 2tetrahydro-furancarboxa mide analogues of SuperFIT, CarFIT and MethoFIT was described.

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Broadening environmental research in the era of accurate protein structure determination and predictions

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Frontiers of Environmental Science & Engineering 2024年第7期18卷 169-178页

作者： Mingda Zhou Tong wang Ke Xu Han wang Zibin Li Wei-xian Zhang Yayi wang State Key Laboratory of Pollution Control and Resources Reuse Shanghai Institute of Pollution Control and Ecological SecurityCollege of Environmental Science and EngineeringTongji UniversityShanghai 200092China Translational Research Institute of Brain and Brain-Like Intelligence Shanghai Fourth People's HospitalSchool of MedicineTongji UniversityShanghai 200434China

The deep-learning protein structure prediction method AlphaFold2 has garnered enormous attention beyond the realm of structural biology,for its groundbreaking contribution to solving the"protein foiding problem"In this perspective,we explore the connection between protein structure studies and environmental research,delving into the potential for addressing specific environmental *** are promising for environmental applications because of the functional diversity endowed by their structural ***,structural studies on proteins with environmental significance remain ***,we present the opportunity to study proteins by advancing experimental determination and deep-learning prediction ***,the latest progress in environmental research via cryogenic electron microscopy is *** allows us to determine the structure of protein complexes in their native state within cells at molecular resolution,revealing environmentally-associated structural *** the remarkable advancements in computational power and experimental resolution,the study of protein structure and dynamics has reached unprecedented depth and *** advancements will undoubtedly accelerate the establishment of comprehensive environmental protein structural and functional *** opportunities for protein engineering exist to enable innovative solutions for environmental applications,such as the degradation of persistent contaminants,and the recovery of valuable metals as well as rare earth elements.

关键词： Environmental proteins Protein structure Cryogenic electron microscopy Protein structure prediction Protein engineering Artificial Intelligence

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Predicting dynamic compressive strength of frozen-thawed rocks by characteristic impedance and data-driven methods

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第7期16卷 2591-2606页

作者： Shengtao Zhou Zong-xian Zhang Xuedong Luo Yifan Huang zhi Yu Xiaowei Yang Faculty of Engineering China University of GeosciencesWuhan430074China Oulu Mining School University of OuluOulu90570Finland Zijin School of Geology and Mining Fuzhou UniversityFuzhou350116China Department of Earth Science&Engineering Imperial College LondonLondonSW72AZUK

In cold regions,the dynamic compressive strength(DCS)of rock damaged by freeze-thaw weathering significantly influences the stability of rock ***,testing the dynamic strength under freeze-thaw weathering conditions is often both time-consuming and ***,this study considers the effect of characteristic impedance on DCS and aims to quickly determine the DCS of frozen-thawed rocks through the application of machine-learning ***,a database of DCS for frozen-thawed rocks,comprising 216 rock specimens,was *** external load parameters(freeze-thaw cycle number,confining pressure,and impact pressure)and two rock parameters(characteristic impedance and porosity)were selected as input variables,with DCS as the predicted *** research optimized the kernel scale,penalty factor,and insensitive loss coefficient of the support vector regression(SVR)model using five swarm intelligent optimization algorithms,leading to the development of five hybrid *** addition,a statistical DCS prediction equation using multiple linear regression techniques was *** performance of the prediction models was comprehensively evaluated using two error indexes and two trend indexes.A sensitivity analysis based on the cosine amplitude method has also been *** results demonstrate that the proposed hybrid SVR-based models consistently provided accurate DCS *** these models,the SVR model optimized with the chameleon swarm algorithm exhibited the best performance,with metrics indicating its effectiveness,including root mean square error(RMSE)﹦3.9675,mean absolute error(MAE)﹦2.9673,coefficient of determination(R^(2))﹦0.98631,and variance accounted for(VAF)﹦*** suggests that the chameleon swarm algorithm yielded the most optimal results for enhancing SVR ***,impact pressure and characteristic impedance emerged as the two most influential parameters in DCS *** research is

关键词： Freeze-thaw cycle Characteristic impedance Dynamic compressive strength Machine learning Support vector regression

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