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ZP2:the precision regulator of egg coat architecture during fertilization

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Science China(Life Sciences) 2024年第8期67卷 1779-1780页

作者： yi dong Shigang Zhao Han Zhao State Key Laboratory of Reproductive Medicine and Offspring Health Center for Reproductive MedicineInstitute of WomenChildren and Reproductive HealthShandong UniversityJinan 250012China

In a recent study published in Cell,(Nishio et al.,2024)elucidated the molecular regulatory mechanism through which organisms prevent *** process intricately involves conformational changes in the zona pellucida(ZP)*** authors present a fascinating mechanism whereby post-fertilization cleavage of the ZP subunit ZP2 triggers its oligomerization,leading to crosslinking of filaments to harden the egg coat and prevent *** also systematically analyzed the pattern of ZP filament assembly,which revealed that two protofilaments comprising type I(ZP3)and type II(ZP1/ZP2/ZP4)components interlock to form a left-handed double helix *** findings are immensely beneficial for understanding the specific role of the egg coat,providing a plethora of insights.

关键词： mechanism finding crosslinking

A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis:Applied COVID-19 aggregated datasets

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Computational Visual Media 2024年第1期10卷 161-186页

作者： Yu dong Christy Jie Liang yi Chen Jie Hua School of Computer Science University of Technology SydneySydneyNSW2007Australia Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business UniversityBeijing100048China

The visual modeling method enables flexible interactions with rich graphical depictions of data and supports the exploration of the complexities of epidemiological ***,most epidemiology visualizations do not support the combined analysis of objective factors that might influence the transmission situation,resulting in a lack of quantitative and qualitative *** address this issue,we developed a portrait-based visual modeling method called+*** method considers the spatiotemporal features of virus transmission patterns and multidimensional features of objective risk factors in communities,enabling portrait-based exploration and comparison in epidemiological *** applied+msRNAer to aggregate COVID-19-related datasets in New South Wales,Australia,combining COVID-19 case number trends,geo-information,intervention events,and expert-supervised risk factors extracted from local government area-based *** perfected the+msRNAer workflow with collaborative views and evaluated its feasibility,effectiveness,and usefulness through one user study and three subject-driven case *** feedback from experts indicates that+msRNAer provides a general understanding for analyzing comprehension that not only compares relationships between cases in time-varying and risk factors through portraits but also supports navigation in fundamental geographical,timeline,and other factor *** adopting interactions,experts discovered functional and practical implications for potential patterns of long-standing community factors regarding the vulnerability faced by the *** confirmed that+msRNAer is expected to deliver visual modeling benefits with spatiotemporal and multidimensional features in other epidemiological analysis scenarios.

关键词： visual modeling epidemiological analysis spatiotemporal multidimensional COVID-19

Furfural residues derived nitrogen-sulfur co-doped sheet-like carbon: An excellent electrode for dual carbon lithium-ion capacitors

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Green Energy & Environment 2024年第9期9卷 1427-1439页

作者： Xiaoying Guo Yan qiao Zonglin yi Christian Marcus Pedersen yingxiong Wang Xiaodong Tian Peide Han College of Materials Science and Engineering Taiyuan University of Technology State Key Laboratory of Coal Conversion Institute of Coal Chemistry Chinese Academy of Sciences University of Chinese Academy of Sciences CAS Key Laboratory of Carbon Materials Institute of Coal Chemistry Chinese Academy of Sciences Department of Chemistry University of Copenhagen Universitetsparken 5 College of Chemistry Taiyuan University of Technology

The state-of-the-art lithium-ion capacitors （LICs）,consisting of high-capacity battery-type anode and high-rate capacitor-type cathode,can deliver high energy density and large power density when comparing with traditional supercapacitors and lithium-ion batteries,***,the ion kinetics mismatch between cathode and anode leads to unsatisfied cycling lifetime and anode *** efforts have been devoted to solving the abovementioned *** promising strategy is altering high conductive hard carbon anode with excellent structural stability to match with activated carbon cathode,assembling dual-carbon *** this contribution,one-pot in-situ expansion and heteroatom doping strategy was adopted to prepare sheet-like hard carbon,while activated carbon was obtained involving *** persulfate was used as expanding and doping agent *** furfural residues （FR） were served as carbon *** resulting hard carbon （FRNS-HC） and activated carbon （FRNS-AC）show excellent electrochemical performance as negative and positive electrodes in a lithium-ion battery （LIB）.To be specific,374.2 m Ah g-1and 123.1 m Ah g-1can be achieved at 0.1 A g-1and 5 A g-1when FRNS-HC was tested as *** combined with a highly porous carbon cathode (SBET=2961 m2g-1) synthesized from the same precursor,the LIC showed high specific energy of147.67 Wh kg-1at approximately 199.93 W kg-1,and outstanding cycling life with negligible capacitance fading over 1000 *** study could lead the way for the development of heteroatom-doped porous carbon nanomaterials applied to Li-based energy storage applications.

关键词： Furfural residue Ammonium persulfate Sheet-like carbon Lithium-ion capacitors Hard carbon

GPa-level pressure-induced enhanced corrosion resistance in TiZrTaNbSn biomedical high-entropy alloy

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China Foundry 2024年第3期21卷 265-275页

作者： Xiao-hong Wang Yu-lei Deng qiao-yu Li Zhi-xin Xu Teng-fei Ma Xing Yang Duo dong dong-dong Zhu Xiao-hong Yang Key Laboratory of Air-driven Equipment Technology of Zhejiang Province Quzhou UniversityQuzhou 324000ZhejiangChina School of Materials Science and Engineering Taizhou UniversityTaizhou 318000ZhejiangChina

TiZrTaNb-based high-entropy alloys(HEAs)are research frontier of biomedical materials due to their high hardness,good yield strength,excellent wear resistance and corrosion ***,as an essential trace element in the human body that plays a significant role in physiological *** has stable chemical properties and a low elastic *** this study,a new material,TiZrTaNbSn HEAs,was proposed as a potential biomedical *** Ti_(35)Zr_(25)Ta_(15)Nb_(15)Sn_(10)biomedical high-entropy alloys(BHEAs)were successfully prepared through an arc melting furnace and then remelted using a German high-temperature and high-pressure apparatus under GPa-level(4 GPa and 7 GPa).The precipitation behavior of the needle-like HCP-Zr_(5)Sn_(3)phase that precipitates discontinuously at the grain boundary was successfully *** phase constitution,microstructure,and corrosion resistance of the alloy were *** results show that the needle-like HCP-Zr_(5)Sn_(3)phase is eliminated and the(Zr,Sn)-rich nano-precipitated phase is precipitated in the microstructure under high pressure,which leads to the narrowing of grain boundaries and consequently improves the corrosion resistance of the *** addition,the formation mechanisms of(Zr,Sn)-rich nanoprecipitates in BHEAs were *** Zr and Sn dissolve in the matrix due to the effect of high pressure,during the cooling process,they precipitate to form a(Zr,Sn)-rich nano-precipitated phase.

关键词： biomedical HEAs precipitation grain boundary corrosion resistance TiZrTaNbSn

Reliable calculations of nuclear binding energies by the Gaussian process of machine learning

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Nuclear Science and Techniques 2024年第6期35卷 130-144页

作者： Zi-yi Yuan dong Bai Zhen Wang Zhong-Zhou Ren School of Physics Science and Engineering Tongji UniversityShanghai 200092China College of Science Hohai UniversityNanjing 211100China Key Laboratory of Advanced Micro-Structure Materials Ministry of EducationShanghai 200092China

Reliable calculations of nuclear binding energies are crucial for advancing the research of nuclear physics. Machine learning provides an innovative approach to exploring complex physical problems. In this study, the nuclear binding energies are modeled directly using a machine-learning method called the Gaussian process. First, the binding energies for 2238 nuclei with Z > 20 and N > 20 are calculated using the Gaussian process in a physically motivated feature space, yielding an average deviation of 0.046 MeV and a standard deviation of 0.066 MeV. The results show the good learning ability of the Gaussian process in the studies of binding energies. Then, the predictive power of the Gaussian process is studied by calculating the binding energies for 108 nuclei newly included in AME2020. The theoretical results are in good agreement with the experimental data, reflecting the good predictive power of the Gaussian process. Moreover, the α-decay energies for 1169 nuclei with 50 ≤ Z ≤ 110 are derived from the theoretical binding energies calculated using the Gaussian process. The average deviation and the standard deviation are, respectively, 0.047 MeV and 0.070 MeV. Noticeably, the calculated α-decay energies for the two new isotopes ^ (204 )Ac(Huang et al. Phys Lett B 834, 137484(2022)) and ^ (207) Th(Yang et al. Phys Rev C 105, L051302(2022)) agree well with the latest experimental data. These results demonstrate that the Gaussian process is reliable for the calculations of nuclear binding energies. Finally, the α-decay properties of some unknown actinide nuclei are predicted using the Gaussian process. The predicted results can be useful guides for future research on binding energies and α-decay properties.

关键词： Nuclear binding energies decay Machine learning Gaussian process

Chain Extender-induced Hydrogen Bonding Organization Determines the Morphology and Properties of Thermoplastic Polycarbonate Polyurethane

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Chinese Journal of Polymer Science 2024年第1期42卷 87-96,I0009页

作者： yi-Lang Qin Ping Zhu Chen-Xi Ouyang Xia dong Fuwai Hospital Chinese Academyof Medical Sciences&Peking Union Medical College/National Center for Cardiovascular DiseasesBejing 100037China CASKey Laboratoryof Engineering Plastics CAS Research/Education Centerfor Excellence in Molecular SciencesInstitute ofChemistryChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

Thermoplastic polycarbonate polyurethanes(PCUs) are multiblock copolymers that have been applied for medical devices for long time. Aliphatic diols are common chain extenders(CE) involved in the composition of the hard segments of PCU. However, limited knowledge was discovered about how the chemical structure of CE affects the hydrogen bonding organization within PCUs and their mechanical *** investigate this problem, a group of PCUs were synthesized respectively by extending the polymer chain with 1,4-butanediol(BDO),aminoethanol(MEA), ethanediol(EO) as three kinds of chain extenders. Tiny differences in the CE chemical structure results in remarkable variations in phase separation, condensed morphologies, thermal and mechanical properties, which are characterized by Fourier transform infrared spectrometer, atomic force microscopy, small-angle X-ray scattering, differential scanning calorimetry, and tensile tests. The microstructural evolution during unilateral deformation and the different mechanism induced by the different CEs was probed and unveil by in situ wide-and small-angle X-ray diffraction. Symmetry of CE can improve the organization of the hydrogen bonding. The coherence strength of the urethane/urea group also plays a key role by comparing the two PCUs with ethanediol and aminoethanol.

关键词： Thermoplastic polycarbonate polyurethane Chain extender Hydrogen bonding Mechanical properties

Assessing clogging potential and optimizing driving parameter of slurry shield tunneling in clay stratum assisted with CFD-DEM modeling

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Underground Space 2024年第1期14卷 197-218页

作者： yi Yang Xing-gao Li Han-yuan Li yi-dong Guo ying-ran Fang Key Laboratory of Urban Underground Engineering of the Education Ministry Beijing Jiaotong UniversityBeijing 100044China School of Civil Engineering Beijing Jiaotong UniversityBeijing 100044China

This paper proposed a two-way coupled computational fluid dynamics(CFD)and discrete element method(DEM)approach to analyze the evolution of clogging in slurry shield tunneling *** interactions between clay particles and slurry were considered by exchanging three interaction forces,including buoyancy force,pressure gradient force,and drag *** CFD-DEM coupling approach was first benchmarked by comparing cutterhead torque and total thrust with field monitored data of a practical slurry shield tunnel *** evolution process of the particle phase and the fluid phase over time was *** results indicated that fewer than 70%of the particles can be washed away in time by the circulating *** 9%of the particles adhered to the submerged wall,resulting in increased cutterhead torque and *** parametric analysis,the influence of the shield driving parameters on the clay clogging behavior is further *** time history of cutterhead torque or thrust can be used as a criterion for judging whether clogging has ***,a new assessment method of clogging risk and an optimization strategy of driving parameters were proposed,which were intended to provide some guidance for similar projects.

关键词： Slurry shield Clogging Driving parameter optimization Assessment method CFD-DEM

The first data release of LAMOST low-resolution single-epoch spectra

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Research in Astronomy and Astrophysics 2021年第10期21卷 73-85页

作者： Zhong-Rui Bai Hao-Tong Zhang Hai-Long Yuan dong-Wei Fan Bo-Liang He Ya-Juan Lei yi-qiao dong Si-Cheng Yu Yong-Heng Zhao Yong Zhang Yong-Hui Hou Yao-Quan Chu CAS Key Laboratory of Optical Astronomy National Astronomical ObservatoriesBeijing 100101China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China National Astronomical Data Center Beijing 100101China Nanjing Institute of Astronomical Optics&Technology National Astronomical ObservatoriesChinese Academy of SciencesNanjing 210042China University of Science and Technology of China Hefei 230026China

LAMOST Data Release 5,covering 17000 deg^(2) from-10°to 80°in declination,contains 9 million co-added low-resolution spectra of celestial objects,each spectrum combined from repeat exposure of two to tens of times during Oct 2011 to Jun *** this paper,we present the spectra of individual exposures for all the objects in LAMOST Data Release *** each spectrum,the equivalent width of 60lines from 11 different elements are calculated with a new method combining the actual line core and fitted line *** stars earlier than F type,the Balmer lines are fitted with both emission and absorption profiles once two components are *** velocity of each individual exposure is measured by minimizing χ^(2) between the spectrum and its best *** database for equivalent widths of spectral lines and radial velocities of individual spectra are available *** velocity uncertainties with different stellar type and signal-to-noise ratio are quantified by comparing different exposure of the same *** notice that the radial velocity uncertainty depends on the time lag between *** stars observed in the same day and with signal-to-noise ratio higher than 20,the radial velocity uncertainty is below 5 km s^(-1),and increases to 10 km s^(-1) for stars observed in different nights.

关键词： surveys stars:general methods:data analysis

Regulation role of miR-204 on SIRT1/VEGF in metabolic memory induced by high glucose in human retinal pigment epithelial cells

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International Journal of Ophthalmology(English edition) 2024年第7期17卷 1232-1237页

作者： qiao-Ling Lai Ting Xie Wei-dong Zheng Yan Huang Department of Ophthalmology Renmin Hospital of Wuhan UniversityWuhan 460060Hubei ProvinceChina Department of Ophthalmology The First Affiliated Hospital of Fujian Medical UniversityFuzhou 350004Fujian ProvinceChina Department of Ophthalmology&Optometry Fujian Medical UniversityFuzhou 350004Fujian ProvinceChina

AIM:To examine the regulatory role of microRNA-204(miR-204)on silent information regulator 1(SIRT1)and vascular endothelial growth factor(VEGF)under highglucose-induced metabolic memory in human retinal pigment epithelial(hRPE)***:Cells were cultured with either normal(5 mmol/L)or high D-glucose(25 mmol/L)concentrations for 8d to establish control and high-glucose groups,*** induce metabolic memory,cells were cultured with 25 mmol/L D-glucose for 4d followed by culture with 5 mmol/L D-glucose for *** addition,exposed in 25 mmol/L D-glucose for 4d and then transfected with 100 nmol/L miR-204 control,miR-204 inhibitor or miR-204 mimic in 5 mmol/L D-glucose for *** reverse transcription-polymerase chain reaction(RT-qPCR)was used to detect miR-204 mRNA ***1 and VEGF protein levels were assessed by immunohistochemical and Western *** cytometry was used to investigate apoptosis ***:It was found that high glucose promoted miR-204 and VEGF expression,and inhibited SIRT1 activity,even after the return to normal glucose culture *** of miR-204 promoted apoptosis inhibiting SIRT1 and increasing VEGF ***,downregulation of miR-204 produced the opposite ***:The study identifies that miR-204 is the upstream target of SIRT1and VEGF,and that miR-204 can protect hRPE cells from the damage caused by metabolic memory through increasing SIRT1 and inhibiting VEGF expression.

关键词： human retinal pigment epithelial metabolic memory microRNA-204 silent information regulator 1 vascular endothelial growth factor high-glucose