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Further investigation on the fusion of ^(6)Li with ^(209)Bi target at near-barrier energies

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chinese Physics C 2024年第7期48卷 106-117页

作者：张高龙焦振威张广鑫 M.R.Cortes 胡世鹏钱建强 D.Mengoni 屈卫卫李聪博郑云张焕乔孙慧斌王楠张春雷 J.J.Valiente-Dobón D.Testov M.Mazzocco A.Gozzelino C.Parascandolo D.Pierroutsakou M.La Commara A.Goasduff D.Bazzacco D.R.napoli F.Galtarossa F.Recchia A.Illana S.Bakes I.Zanon S.Aydin G.de Angelis M.Siciliano R.Menegazzo S.M.Lenzi J.L.Ferreira J.Rangel Serkan Akkoyun L.F.Canto J.Lubian School of Physics Beihang UniversityBeijing 100191China Sino-French Institute of nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China Instituto de Física Universidade Federal Fluminense24210-340NiteróiRio de JaneiroBrazil Institute for Advanced Study in nuclear Energy&Safety Shenzhen UniversityShenzhen 518060China sh.nzhen Key Laboratory of Research and Manufacture of High Purity Germanium Materials and Fetectors Shenzhen UniversityShenzhen 518060China InFn Sezione di PadovaPadovaItaly Dipartimento di fisica Astronomia dell'universita di padova PadovaItaly State Key Laboratory of Radiation Medicine and Protection School of Radiation Medicine and ProtectionSoochow UniversitySuzhou 215123China china Institute of Atomic Energy Beijing 102413China The Key Laboratory of Beam Technology and Material Modification of Ministry of Education College of Nuclear Science and TechnologyBeijing Normal UniversityBeijing 100875China InFn Laboratori Nazionali di LegnaroI-35020 LegnaroItaly InFn Sezione di NapoliI-80126 NapoliItaly Dipartimento di Farmacia Universitàdi Napoli"Federico II"I-80131 NapoliItaly Department of natural and Mathematical Sciences Faculty of EngineeringTarsus University33480 MersinTurkiye Physics Division Argonne National LaboratoryLemont-ILUSA Departamento de Matemaética Física e Computaç˜ao Universidade do Estado do Rio de JaneiroFaculdade de Tecnologia27537-000ResendeRio de JaneiroBrazil Department of Physics Sivas Cumhuriyet UniversitySivasTurkey Instituto de Física Universidade Federal do Rio de JaneiroCP 6852821941-972Rio de JaneiroBrazil

The complete and incomplete fusion cross sections for ^(6)Li+^(209)Bi were measured using the in-beamγ-ray method around the Coulomb *** cross sections of(deuteron captured)incomplete fusion(ICF)products were re-quantified experimentally for this reaction *** results reveal that the ICF cross section is equivalent to that of complete fusion(CF)above the Coulomb barrier and dominant near or below the Coulomb barrier.A theoretical calculation based on the continuum discretized coupled channel(CDCC)method was performed for the aforementioned CF and ICF cross sections;the result is consistent with the *** universal fusion function(uFF)was also compared with the measured CF cross section for different barrier parameters,demonstrating that the CF suppression factor is significantly influenced by the choice of potential,which can reflect both dynamic and static effects of breakup on the fusion process.

关键词： cross section incomplete fusion suppression factor weakly bound nuclei

novel methylation specific real-time PCR test for the diagnosis of Klinefelter syndrome

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Asian Journal of Andrology 2014年第5期16卷 684-688,I0006页

作者： Akanksha Mehta Anna Mielnik Peter n Schlegel Darius A Paduch Department of urology Weill Cornell Medical College New York NY USA Department of urology Emory University School of Medicine Atlanta GA USA

The aim of this study was to design a molecular assay for the diagnosis of Klinefelter syndrome （KS）, based on the detection of supernumerary X-chromosomes （X-chs）. DnA was extracted from peripheral blood samples of twenty-six 47,XXY males; two 46,XY/47,XXY males; twenty-two 46,XY males; and 15 females; and deaminated. Methylation-specific quantitative polymerase chain reaction （MS-qPCR） was performed using primers for unmethylated and methylated copies of the X-ch inactive-specific transcript （XIST-u and XIST-M） gene. X-ch disomy was determined on the basis of XIST methylation status. Degree of mosaicism in the 46,XY/47,XXY males was compared with karyotype and fluorescent in situ hybridization （FIsh） results. Data analysis was performed using the Roche LightCycler software V. 3.5.3, including determination of crossing points （CPs） by fit-point analysis and melting curve analysis. Xoch disomy was detected in all female controls and KS patients; male controls expressed XIST-M only. CPs ranged from 29.5 to 32.5 （standard deviation （s.d.） 0.8） for XIST-u and from 29 to 31 （s.d. 0.6） for XIST-M. Limit of detection of mosaicism was 1%. Based on XlST-u/XIST-M ratios for the two 47,XXY/46,XY patients, the calculated degree of mosaicism （1.8% and 17.8%） was comparable to FIsh results （2.3% and 15%, respectively）. Turnaround time from DnA deamination to final data analysis was under 9 h. We conclude that MS-qPCR is a sensitive, specific and rapid test for the detection of X-ch disomy, with applicability for the screening and diagnosis of KS, even in the setting of low grade 47,XXY/46,XY mosaicism.

关键词： DnA methylation Klinefelter syndrome mosaicism polymerase chain reaction

SARS-CoV-2 interaction with Siglec-1 mediates trans-infection by dendritic cells

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Cellular & Molecular Immunology 2021年第12期18卷 2676-2678页

作者： Daniel Perez-Zsolt Jordana Muñoz-Basagoiti Jordi Rodon Marc Elosua-Bayes Dàlia Raïch-Regué Cristina Risco Martin Sachse Maria Pino Sanjeev Gumber Mirko Paiardini Jakub chojnacki Itziar Erkizia Xabier Muñiz-Trabudua Ester Ballana Eva Riveira-Muñoz Marc noguera-Julian Roger Paredes Benjamin Trinité Ferran Tarrés-Freixas Ignacio Blanco Victor Guallar Jorge Carrillo JuliàBlanco Amalio Telenti Holger Heyn Joaquim Segalés Bonaventura Clotet Javier Martinez-Picado Júlia Vergara-Alert nuria Izquierdo-useros IrsiCaixa AIDS Research Institute 089BadalonaSpain IRTA Centre de Recerca en Sanitat Animal(CReSAIRTA-UAB)Campus de la UAB08193Bellaterra(Cerdanyola del Vallès)Spain CnAG-CRG Centre for Genomic Regulation(CRGBarcelona Institute of Science and Technology(BIST)08028BarcelonaSpain Centro nacional de Biotecnología CSIC28049MadridSpain Division of Microbiology and Immunology Yerkes National Primate Research CenterEmory UniversityAtlantaGAUSA Department of Pathology and Laboratory Medicine School of MedicineEmory UniversityAtlantaGeorgiaUSA Division of Pathology Yerkes National Primate Research CenterEmory UniversityAtlantaGeorgiaUSA Germans Trias i Pujol Research Institute(IGTP) Can Ruti Campus089BadalonaSpain Barcelona Supercomputing Center(BSC) 08034BarcelonaSpain Catalan Institution for Research and Advanced Studies(ICREA) 08010BarcelonaSpain university of Vic-Central university of Catalonia(uVic-uCC) Vic08500Spain Department of Integrative Structural and Computational Biology Scripps ResearchLa JollaCA92037USA universitat Pompeu Fabra(uPF) BarcelonaSpain uAB CReSA(IRTA-UAB)Campus de la UAB08193Bellaterra(Cerdanyola del Vallès)Spain Departament de Sanitat i Anatomia Animals Facultat de VeterinàriaUAB08193Bellaterra(Cerdanyola del Vallès)Spain

Antigen-presenting cells(APCs)may be resistant to SARS-CoV-2 infection but still contribute to viral *** such as sialic acid-binding Ig-like lectin 1(Siglec-1/CD169)mediate the attachment of viruses to ***,we show that APCs effectively capture SARS-CoV-2 within compartments via recognition of *** receptor interacts with sialylated gangliosides on membranes of SARS-CoV-2 variants.

关键词： infection Antigen media

An AMR Capable Finite Element Diffusion Solver for ALE Hydrocodes

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Plasma Science and Technology 2015年第2期17卷 109-116页

作者： A.C.FIshER D.S.BAILEY T.B.KAISER D.C.EDER B.T.n.GunnEY n.D.MASTERS A.E.KOnIGES R.W.AnDERSOn Lawrence Livermore national Laboratory Lawrence Berkeley national Laboratory

We present a novel method for the solution of the diffusion equation on a composite AMR mesh. This approach is suitable for including diffusion based physics modules to hydrocodes that support ALE and AMR capabilities. To illustrate, we proffer our implementations of diffu- sion based radiation transport and heat conduction in a hydrocode called ALE-AMR. numerical experiments conducted with the diffusion solver and associated physics packages yield 2nd order convergence in the L2 norm.

关键词： hydrodynamic simulation heat conduction thermal radiation adaptive meshrefinement finite element method

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抓斗船精挖计算机测控系统

中国港湾建设 2018年第4期38卷 68-73页

作者：刘国生曹湘波刘烈晖许向东张继潮韦纪军中交广州航道局有限公司广东广州510300

文章主要研究抓斗式挖泥船计算机测控系统的实现方法。通过在"金雄"号抓斗挖泥船上采用计算机控制等技术,最终实现了对抓斗挖泥船抓斗的直接高程定位控制、定深及平挖自动控制、GIS图形显示等功能,使抓斗挖泥船控制系统满足高精度施工... 详细信息

文章主要研究抓斗式挖泥船计算机测控系统的实现方法。通过在"金雄"号抓斗挖泥船上采用计算机控制等技术,最终实现了对抓斗挖泥船抓斗的直接高程定位控制、定深及平挖自动控制、GIS图形显示等功能,使抓斗挖泥船控制系统满足高精度施工的要求。

关键词：抓斗挖泥船挖泥直接数字控制可视化施工

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屯田迁徙之塔兰奇人语言文化变迁论略

新疆职业大学学报 2017年第4期25卷 51-55页

作者：覃莎莎伊犁师范学院中国语言分院新疆伊宁835000

在前人研究基础上对比分析了塔兰奇人迁徙前后的语言文化样态,讨论了迁徙后的生活方式等对塔兰奇人语言文化的影响,获得塔兰奇人语言文化变迁的多元性、融合性、适应性及涉外性等特征认知,形成对伊犁维吾尔人——塔兰奇人语言文化多元... 详细信息

在前人研究基础上对比分析了塔兰奇人迁徙前后的语言文化样态,讨论了迁徙后的生活方式等对塔兰奇人语言文化的影响,获得塔兰奇人语言文化变迁的多元性、融合性、适应性及涉外性等特征认知,形成对伊犁维吾尔人——塔兰奇人语言文化多元内涵的多视角了解。屯田迁徙是促进伊犁维吾尔人语言文化嬗变的主要因素,民族进步发展是构筑国家统一稳定大局的基础之一,且具有一定的现实意义。

关键词：维吾尔人屯田迁徙塔兰奇语言文化嬗变

Extraction of resonance parameters from meson production reaction

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chinese Physics C 2009年第12期33卷 1140-1145页

作者： T. Sato n. Suzuki T. -S. H. Lee Department of Physics Osaka University Toyonaka Osaka 560-0043 Japan Excited Baryon Analysis Center(EBAC) Thomas Jefferson National Accelerator Facility Newport News Virginia 23606 USA Physics Division Argonne National Laboratory Argonne IL 60439 USA

We have developed an analytic continuation method for extracting parameters of nucleon resonances within a Hamiltonian formulation of meson-nucleon reactions. The method was tested for simple solvable models and then applied for our recent coupled channels model （πn, ηn, π△, ρn, and σn ） of the π＊n and γ＊n reactions. The resonance pole positions and their properties are studied for P11and P11 channels.

关键词： baryon resonance meson production reaction resonance pole

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零件图的尺寸标注

吉林工学院学报（自然科学版） 1999年第3期20卷 62-64页

作者：张淑霞李广明郭晓兰吉林工学院机电工程学院吉林长春130012

系统地阐述了零件图尺寸的合理标注与设计和工艺的密切关系，总结了合理标注零件图尺寸的方法和规律。

关键词：设计基准工艺基准功能尺寸零件图尺寸标注

A Deep Learning Modeling Framework to Capture Mixing Patterns in Reactive-Transport Systems

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Communications in Computational Physics 2022年第1期31卷 188-223页

作者： n.V.Jagtap M.K.Mudunuru K.B.nakshatrala Department of Mechanical Engineering University of HoustonTexas 77204USA Atmospheric Sciences&Global ch.nge Division Pacific Northwest National LaboratoryRichlandWashington 99352USA Department of Civil&Environmental Engineering University of HoustonHoustonTexas 77204USA

Prediction and control of chemical mixing are vital for many scientific areas such as subsurface reactive transport, climate modeling, combustion, epidemiology, and pharmacology. Due to the complex nature of mixing in heterogeneous andanisotropic media, the mathematical models related to this phenomenon are not analytically tractable. numerical simulations often provide a viable route to predict chemical mixing accurately. However, contemporary modeling approaches for mixing cannot utilize available spatial-temporal data to improve the accuracy of the future prediction and can be compute-intensive, especially when the spatial domain is large andfor long-term temporal predictions. To address this knowledge gap, we will present inthis paper a deep learning (DL) modeling framework applied to predict the progress ofchemical mixing under fast bimolecular reactions. This framework uses convolutionalneural networks (Cnn) for capturing spatial patterns and long short-term memory(LSTM) networks for forecasting temporal variations in mixing. By careful design ofthe framework—placement of non-negative constraint on the weights of the Cnn andthe selection of activation function, the framework ensures non-negativity of the chemical species at all spatial points and for all times. Our DL-based framework is fast,accurate, and requires minimal data for training. The time needed to obtain a forecastusing the model is a fraction (≈ O(10−6)) of the time needed to obtain the result using a high-fidelity simulation. To achieve an error of 10% (measured using the infinitynorm) for capturing local-scale mixing features such as interfacial mixing, only 24%to 32% of the sequence data for model training is required. To achieve the same levelof accuracy for capturing global-scale mixing features, the sequence data required formodel training is 64% to 70% of the total spatial-temporal data. Hence, the proposedapproach—a fast and accurate way to forecast long-time spatial-temporal mixin

关键词： Deep learning reactive-transport non-negative solutions spatial-temporal forecasting pattern recognition convolutional neural networks(Cnn) long short-term memory(LSTM) networks