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Fabrication and fracture behaviors of the continuous brittle fiber reinforced tungsten composites fabricated via field-assisted sintering technology

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Tungsten 2025年第1期7卷 172-182页

作者： Rui Shu Yi-Ran Mao Jan w. Coenen Alexis Terra Stephan Sch?nen Johann Riesch Christian Linsmeier Christoph broeckmann Juelich Research Center Institute of Energy and Climate Research Plasma Physics (IEK-4) Partner in the Trilateral Euregio Cluster Institute of Materials Applications in Mechanical Engineering (IwM) RWTH Aachen University Department of Nuclear Engineering & Engineering Physics University of Wisconsin Madison Central Institute of Engineering Electronics and Analytics Engineering and Technology (ZEA-1) Juelich Research Center Max Planck Institute for Plasma Physics Institute of Materials Applications in Mechanical Engineering IwM RWTH Aachen University

Tungsten（w） is a promising candidate material for the plasma-facing components in future fusion ***,it has issues regarding the intrinsic brittleness as well as operational *** fiber reinforced tungsten（w_f/w） composites overcome these issues by using extrinsic toughening *** to neutron irradiation and high-temperature recrystallization during fusion operation,the ductility of the fibers may degrade over a long period of ***,it is necessary to investigate the fracture behavior of w_f/w composites with brittle *** the present work,the tungsten fibers were embrittled by ***,the continuous brittle w_f/w composite with yttrium oxide（Y2O3） interface was fabricated by the field-assisted sintering technology *** microstructure of the prepared w_f/w composites was *** fracture behavior and toughening mechanisms were discussed in detail based on the experimental results of 3-point bending tests and the corresponding finite element *** composites show a pseudo-ductile fracture *** are hindered and deflected by the de-bonded fiber-matrix *** extrinsic toughening mechanisms of interface de-bonding,crack bridging,and fiber pull-out are *** indicates the reinforcement concept still works even though all components in the w_f/w are brittle.

关键词： Field-assisted sintering technology (FAST) Fracture behavior Interface Numerical simulation wf/w composites

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Pathogenic genes and clinical prognosis in hypertrophic cardiomyopathy

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world Journal of Cardiology 2025年第1期17卷 47-54页

作者： Ying Hong Hu-Tao Xi Xin-Yi Yang wilber w Su Xiao-Ping Li Institute of Cardiovascular Diseases&Department of Cardiology Sichuan Provincial People’s HospitalSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengdu 610072Sichuan ProvinceChina Department of Cardiology Chengdu University of Traditional Chinese MedicineChengdu 610075Sichuan ProvinceChina Department of Cardiology Banner-University Medical CenterPhoenixAZ 85006United States

Hypertrophic cardiomyopathy(HCM)is an autosomal dominant inherited cardiomyopathy characterized by left ventricular *** is one of the chief causes of sudden cardiac death in younger people and ***-genetic studies have confirmed that the vast majority of HCM is caused by mutations in genes encoding sarcomere *** has a relatively wide phenotypic heterogeneity,varying from asymptomatic to sudden cardiac death,because of the many different mutations and pathogenic genes underlying *** studies have explored the clinical symptoms and prognosis of HCM,emphasizing the importance of genotype in evaluating patient prognosis and guiding the clinical management of *** elaborate the main pathogenic genes and phenotypic prognosis in HCM to promote a better understanding of this genetic *** analysis of literature to evaluate the association between underlying gene mutations and clinical phenotypes in HCM *** sequencing technology advances,the pathogenic gene mutation spectrum and phenotypic characteristics of HCM are gradually becoming *** is a widespread inherited disease with a highly variable clinical *** precise mechanisms linking known pathogenic gene mutations and the clinical course of this heterogeneous condition remain elusive.

关键词： Hypertrophic cardiomyopathy Genotype Phenotype Pathogenic genes Prognosis

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Deep view of composite SNR CTA1 with LHAASO in γ-rays up to 300 TeV

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Science China(Physics,Mechanics & Astronomy) 2025年

作者： Zhen Cao F.Aharonian Axikegu Y.X.bai Y.w.bao D.bastieri X.J.bi Y.J.bi w.bian A.V.bukevich Q.Cao w.Y.Cao Zhe Cao J.Chang J.F.Chang A.M.Chen E.S.Chen H.X.Chen Liang Chen Lin Chen Long Chen M.J.Chen M.L.Chen Q.H.Chen S.Chen S.H.Chen S.Z.Chen T.L.Chen Y.Chen N.Cheng Y.D.Cheng M.C.Chu M.Y.Cui S.w.Cui X.H.Cui Y.D.Cui b.Z.Dai H.L.Dai Z.G.Dai Danzengluobu X.Q.Dong K.K.Duan J.H.Fan Y.Z.Fan J.Fang J.H.Fang K.Fang C.F.Feng H.Feng L.Feng S.H.Feng X.T.Feng Y.Feng Y.L.Feng S.Gabici b.Gao C.D.Gao Q.Gao w.Gao w.K.Gao M.M.Ge T.T.Ge L.S.Geng G.Giacinti G.H.Gong Q.b.Gou M.H.Gu F.L.Guo J.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han O.A.Hannuksela M.Hasan H.H.He H.N.He J.Y.He Y.He Y.K.Hor b.w.Hou C.Hou X.Hou H.b.Hu Q.Hu S.C.Hu C.Huang D.H.Huang T.Q.Huang w.J.Huang X.T.Huang X.Y.Huang Y.Huang Y.Y.Huang X.L.Ji H.Y.Jia K.Jia H.b.Jiang K.Jiang X.w.Jiang Z.J.Jiang M.Jin M.M.Kang I.Karpikov D.Khangulyan D.Kuleshov K.Kurinov b.b.Li C.M.Li Cheng Li Cong Li D.Li F.Li H.b.Li H.C.Li Jian Li Jie Li K.Li S.D.Li w.L.Li w.L.Li X.R.Li Xin Li Y.Z.Li Zhe Li Zhuo Li E.w.Liang Y.F.Liang S.J.Lin b.Liu C.Liu D.Liu D.b.Liu H.Liu H.D.Liu J.Liu J.L.Liu M.Y.Liu R.Y.Liu S.M.Liu w.Liu Y.Liu Y.N.Liu Q.Luo Y.Luo H.K.Lv b.Q.Ma L.L.Ma X.H.Ma J.R.Mao Z.Min w.Mitthumsiri H.J.Mu Y.C.Nan A.Neronov K.C.Y.Ng L.J.Ou P.Pattarakijwanich Z.Y.Pei J.C.Qi M.Y.Qi b.Q.Qiao J.J.Qin A.Raza D.Ruffolo A.Sáiz M.Saeed D.Semikoz L.Shao O.Shchegolev X.D.Sheng F.w.Shu H.C.Song Yu.V.Stenkin V.Stepanov Y.Su D.X.Sun Q.N.Sun X.N.Sun Z.b.Sun J.Takata P.H.T.Tam Q.w.Tang R.Tang Z.b.Tang w.w.Tian L.H.wan C.wang C.b.wang G.w.wang H.G.wang H.H.wang J.C.wang Kai wang Kai wang L.P.wang L.Y.wang P.H.wang R.wang w.wang X.G.wang X.Y.wang Y.wang Y.D.wang Y.J.wang Z.H.wang Z.X.wang Zhen wang Zheng wang D.M.wei J.J.wei Y.J.wei T.wen C.Y.wu H.R.wu Q.w.wu S.wu X.F.wu Y.S.wu S.Q.Xi J.Xia G.M.Xiang D.X.Xiao G.Xiao Y.L.Xin Y.Xing D.R.Xiong Z.Xiong D.L.Xu R.F.Xu R.X.Xu w.L.Xu L.Xue D.H.Yan J.Z.Yan T.Yan C.w.Yang C.Y.Yang F.Yang F.F.Yang L.L.Yang M.J.Yang R.Z.Yang w.X.Yang Y.H.Yao Z.G.Yao L.Q.Yin N.Yin X.H.You Z.Y.You Y.H Southwest Jiaotong University School of Astronomy and Space Science Nanjing University Center for Astrophysics Guangzhou University Tsung-Dao Lee Institute & School of Physics and Astronomy Shanghai Jiao Tong University Institute for Nuclear Research of Russian Academy of Sciences Hebei Normal University University of Science and Technology of China LHAASO Collaboration State Key Laboratory of Particle Detection and Electronics Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Research Center for Astronomical Computing Zhejiang Laboratory Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Key Laboratory of Particle Astrophysics & Experimental Physics Division & Computing Center Yunnan University Key Laboratory of Cosmic Rays (Tibet University) Ministry of Education Department of Physics The Chinese University of Hong Kong Key Laboratory of Radio Astronomy and Technology National Astronomical Observatories Chinese Academy of Sciences School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai) Sun Yat-sen University Institute of High Energy Physics Institute of Frontier and Interdisciplinary Science Shandong University APC Université Paris Cité CNRS/IN2P3 CEA/IRFU Observatoire de Paris Department of Engineering Physics & Department of Astronomy Tsinghua University School of Physics and Microelectronics Chinese Academy of Sciences Zhengzhou University Yunnan Observatories Chinese Academy of Sciences China Center of Advanced Science and Technology College of Physics Sichuan University School of Physics Peking University Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology University of Chinese Academy of Sciences Guangxi University Department of Physics Faculty of Science Mahidol University Moscow Institute

The ultra-high-energy（UHE） gamma-ray source 1LHAASO J0007+7303u is positionally associated with the composite SNR CTA1 that is located at high Galactic Latitude b ≈ 10.5°. This provides a rare opportunity to spatially resolve the component of the pulsar wind nebula（PwN） and supernova remnant（SNR） at UHE. This paper conducted a dedicated data analysis of 1LHAASO J0007+7303u using the data collected from December 2019 to July 2023. This source is well detected with significances of 21σ and 17σ at 8-100 TeV and >100 TeV, respectively. The corresponding extensions are determined to be 0.23°±0.03°and 0.17°±0.03°. The emission is proposed to originate from the relativistic electrons accelerated within the PwN of PSR J0007+7303. The energy spectrum is well described by a power-law with an exponential cutoff function dN/dE =（42.4 ± 4.1）(E/（20 TeV）)-2.31±0.11exp(-E/（110±25 TeV）) TeV-1cm-2s-1in the energy range from 8 to 300 TeV, implying a steady-state parent electron spectrum dNe/dEe∝(Ee/（100 TeV）)-3.13±0.16exp[(-Ee/（373±70 TeV）)2] at energies above ≈ 50 TeV. The cutoff energy of the electron spectrum is roughly equal to the expected current maximum energy of particles accelerated at the PwN terminal shock. Combining the X-ray and gamma-ray emission, the current space-averaged magnetic field can be limited to≈ 4.5 μG. To satisfy the multi-wavelength spectrum and the γ-ray extensions, the transport of relativistic particles within the PwN is likely dominated by the advection process under the free-expansion phase assumption.

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LHAASO detection of very-high-energy γ-ray emission surrounding PSR J0248+6021

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Science China(Physics,Mechanics & Astronomy) 2025年

we report the detection of an extended very-high-energy(VHE) γ-ray source coincident with the location of middle-aged(62.4 kyr) pulsar PSR J0248+6021, by using the LHAASO-wCDA data of live 796 d and LHAASO-KM2A data of live 1216d. A significant excess of γ-ray induced showers is observed both by wCDA in energy bands of 1-25 Te V and KM2A in energy bands of >25 TeV with 7.3σ and 13.5σ, respectively. The best-fit position derived through wCDA data is R.A. = 42.06°± 0.12°and Dec. = 60.24°± 0.13°with an extension of 0.69°±0.15°and that of the KM2A data is R.A.= 42.29°± 0.13°and Dec. =60.38°± 0.07°with an extension of 0.37°±0.07°. No clear extended multiwavelength counterpart of this LHAASO source has been found from the radio band to the GeV band. The most plausible explanation of the VHE γ-ray emission is the inverse Compton process of highly relativistic electrons and positrons injected by the pulsar. These electrons/positrons are hypothesized to be either confined within the pulsar wind nebula or to have already escaped into the interstellar medium, forming a pulsar halo.

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Observation of the γ-ray emission from w43 with LHAASO

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Science China(Physics,Mechanics & Astronomy) 2025年

In this paper, we report the detection of the very-high-energy (VHE, 100 Ge V100 TeV) γ-ray emissions from the direction of the young star-forming region w43, observed by the Large High Altitude Air Shower Observation (LHAASO). The extended γ-ray source was detected with a significance of～16σby KM2A and～17σby wCDA, respectively. The angular extension of this γ-ray source is about 0.5 degrees, corresponding to a physical size of about 50pc. we discuss the origin of the γ-ray emission and possible cosmic ray acceleration in the w43 region using multi-wavelength data. Our findings suggest that w43 is likely another young star cluster capable of accelerating cosmic rays (CRs) to at least several hundred TeV.

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Helicity-Controlled Spin Hall Angle in 2D Altermagnets with Rashba Spin-Orbit Coupling

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Chinese Physics Letters 2025年第1期42卷 134-140页

作者： weiwei Chen Longhai Zeng w.Zhu Key Laboratory of Intelligent Manufacturing Quality big Data Tracing and Analysis of Zhejiang Province College of SciencesChina Jiliang UniversityHangzhou 310018China Key Laboratory of Intelligent Manufacturing Quality big Data Tracing and Analysis of Zhejiang Province College of ScienceChina Jiliang UniversityHangzhou 310018China School of Science Westlake UniversityHangzhou 310024China

we investigated the efficiency of charge-to-spin conversion in two-dimensional Rashba altermagnets,a class of materials that combines the characteristics of both ferromagnets and *** quantum linear response theory,we quantified the longitudinal and spin Hall conductivities in this system and demonstrated a substantial enhancement in the spin Hall angle below the band crossing point through the dual effects of relativistic spin–orbit interaction and nonrelativistic altermagnetic exchange ***,the results showed that the skew scattering and intrinsic mechanisms arising from Fermi sea states are almost negligible in this system,in contrast to conventional ferromagnetic Rashba *** findings not only elucidate the spin dynamics in Rashba altermagnets but also pave the way for developing novel strategies for manipulating charge-to-spin conversion via sophisticated control of noncollinear and collinear out-of-plane spin textures.

关键词： interaction. magnets Rashba

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Paleomapping:Creating testable visual hypotheses of ancient worlds

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Journal of Palaeogeography 2025年第01期14卷 91-104页

作者： Holger Petermann Annaka M.Clement Patrick M.Sullivan Hannah M.bonner James w.Hagadorn Department of Earth and Space Sciences Denver Museum of Nature & Science Colorado School of Mines Department of Geology and Geologic Engineering Division of water Quality Utah Department of Environmental Quality

The story of the Earth's changing landscapes is often told through paleogeographic maps. These images are some of the most accessible and widely used illustrations in the Earth sciences. However, no formal procedure for the creation of photorealistic paleomaps(i.e., paleosatellite images) exists. Using an example from the Late Jurassic of the Rocky Mountain region, we present a method for making paleoenvironmental and paleosatellite maps that is scalable, reproducible, testable, and incorporates peer review. The process includes a literature review followed by data-visualization, paleoenvironmental interpretation, peer-review,iterative revisions, and the creation of a false contour map and color gradient used to render a paleosatellite image. Paleosatellite images are photorealistic versions of paleoenvironmental maps that incorporate global climatic and tectonic information as well as principles of actualism; they can be made through comparison to analogous modern landscapes. An important component of this process is that the data maps that ground this paleomapping process allow evaluation of where paleoenvironmental interpretations are wellsupported by outcrop and subsurface data, and where such visualization is highly interpretive-often because of lack of available rocks or studies in a given area. As such, our paleoenvironmental maps and paleosatellite images are testable pictorial hypotheses. by outlining a procedure that produces referenced,data-rich, and visually realistic maps, we hope to demystify the paleoenvironmental map-making process and improve accessibility of paleomaps for the broader geoscience community. where resources and complementary data are available, such maps also have potential for georeferencing and integration with larger continent-scale paleogeographic maps.

关键词： Ancient landscapes Cartography Paleogeography Paleoenvironments Jurassic

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Machine learning in solid organ transplantation:Charting the evolving landscape

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world Journal of Transplantation 2025年第1期15卷 165-177页

作者： badi Rawashdeh Haneen Al-abdallat Emre Arpali beje Thomas Ty b Dunn Matthew Cooper Division of Transplant Surgery Medical College of WisconsinMilwaukeeWI 53202United States Department of Medicine Jordan University HospitalAmman 11263Jordan Department of Nephrology Medical College of WisconsinMilwaukeeWI 53226United States

bACKGROUND Machine learning(ML),a major branch of artificial intelligence,has not only demonstrated the potential to significantly improve numerous sectors of healthcare but has also made significant contributions to the field of solid organ *** provides revolutionary opportunities in areas such as donorrecipient matching,post-transplant monitoring,and patient care by automatically analyzing large amounts of data,identifying patterns,and forecasting *** To conduct a comprehensive bibliometric analysis of publications on the use of ML in transplantation to understand current research trends and their *** On July 18,a thorough search strategy was used with the web of Science *** and transplantation-related keywords were *** the aid of the VOS viewer application,the identified articles were subjected to bibliometric variable analysis in order to determine publication counts,citation counts,contributing countries,and institutions,among other *** Of the 529 articles that were first identified,427 were deemed relevant for bibliometric analysis.A surge in publications was observed over the last four years,especially after 2018,signifying growing interest in this *** 209 publications,the United States emerged as the top ***,the"Journal of Heart and Lung Transplantation"and the"American Journal of Transplantation"emerged as the leading journals,publishing the highest number of relevant *** keyword searches revealed that patient survival,mortality,outcomes,allocation,and risk assessment were significant themes of *** The growing body of pertinent publications highlights ML's growing presence in the field of solid organ *** bibliometric analysis highlights the growing importance of ML in transplant research and highlights its exciting potential to change medical practices and enhance patient *** collaboration between signific

关键词： Machine learning Artificial Intelligence Solid organ transplantation bibliometric analysis

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GROwTH KINETICS OF SINGLE INCLUSION PARTICLE IN MOLTEN MELTS

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Acta Metallurgica Sinica(English Letters) 2007年第2期20卷 129-138页

作者： b.w. Zhang b.w. Li Department of Materials and Metallurgy Inner Mongolia University of Science and Technology Baotou 014010 China

On the basis of the single-particle framework, a new theory on inclusion growth in metallurgical melts is developed to study the kinetics of inclusion growth on account of reaction and collision. The studies show that the early growth of inclusion depends on reaction growth and brawnian motion collision, and where the former is decisive, the late growth depends on turbulence collision and Stokes＇ collision, and where the former is dominant; collision growth is very quick during the smelting process, lessened in the refining process, but nearly negligible in the continuous casting process.

关键词： inclusion growth reaction collision kinetics

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A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrobol Geetika Jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi bansal Razaz waheeb Attar Mosiur Rahman brij b.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have been developed to support the challenges in intelligent healthcare ***,because mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep behaviour

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