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Possibility of reaching the predicted center of the“island of stability”via the radioactive beam-induced fusion reactions

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Nuclear Science and Techniques 2024年第9期35卷 186-195页

作者： Ming-Hao zhang Ying Zou Mei-Chen Wang Gen zhang qing-Lin Niu Feng-Shou zhang The Key Laboratory of Beam Technology of Ministry of Education School of Physics and AstronomyBeijing Normal UniversityBeijing 100875China Institute of Radiation Technology Beijing Academy of Science and TechnologyBeijing 100875China School of Physical Science and Technology Guangxi UniversityNanning 530004China Center of Theoretical Nuclear Physics National Laboratory of Heavy Ion Accelerator of LanzhouLanzhou 730000China

Based on the dinuclear system model,the synthesis of the predicted double-magic nuclei^(298)Fl and 304120 was investigated via neutron-rich radioactive beam-induced fusion *** reaction^(58)Ca+^(244)Pu is predicted to be favorable for producing^(298)Fl with a maximal ER cross section of 0.301 *** of the entrance channel effect reveal that the^(244)Pu target is more promising for synthesizing^(298)Fl than the neutron-rich targets^(248)Cm and^(249)Bk,because of the influence of the Coulomb *** the synthesis of 304120,the maximal ER cross section of 0.046 fb emerges in the reaction^(58)V+^(249)Bk,indicating the need for further advancements in both experimental facilities and reaction mechanisms.

关键词： Superheavy nuclei Dinuclear system model Fusion reaction Double-magic nucleus Radioactive beam

Hybrid model for BOF oxygen blowing time prediction based on oxygen balance mechanism and deep neural network

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International Journal of Minerals,Metallurgy and Materials 2024年第1期31卷 106-117页

作者： Xin Shao qing Liu Zicheng Xin Jiangshan zhang Tao Zhou Shaoshuai Li State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China Engineering Research Center of MES Technology for Iron&Steel Production Ministry of EducationBeijing 100083China Laiwu Iron and Steel Group Yinshan Section Steel Co. Ltd.Jinan 271104China

The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based on oxygen balance mechanism (OBM) and deep neural network (DNN) was established for predicting oxygen blowing time in converter. A three-step method was utilized in the hybrid model. First, the oxygen consumption volume was predicted by the OBM model and DNN model, respectively. Second, a more accurate oxygen consumption volume was obtained by integrating the OBM model and DNN model. Finally, the converter oxygen blowing time was calculated according to the oxygen consumption volume and the oxygen supply intensity of each heat. The proposed hybrid model was verified using the actual data collected from an integrated steel plant in China, and compared with multiple linear regression model, OBM model, and neural network model including extreme learning machine, back propagation neural network, and DNN. The test results indicate that the hybrid model with a network structure of 3 hidden layer layers, 32-16-8 neurons per hidden layer, and 0.1 learning rate has the best prediction accuracy and stronger generalization ability compared with other models. The predicted hit ratio of oxygen consumption volume within the error±300 m^(3)is 96.67%;determination coefficient (R^(2)) and root mean square error (RMSE) are0.6984 and 150.03 m^(3), respectively. The oxygen blow time prediction hit ratio within the error±0.6 min is 89.50%;R2and RMSE are0.9486 and 0.3592 min, respectively. As a result, the proposed model can effectively predict the oxygen consumption volume and oxygen blowing time in the converter.

关键词： basic oxygen furnace oxygen consumption oxygen blowing time oxygen balance mechanism deep neural network hybrid model

Color-polarization synergistic target detection method considering shadow interference

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Defence Technology（防务技术） 2024年第7期37卷 50-61页

作者： Bin Feng Jinpei Xiao Junchao zhang Lin Li Yunlong Wu qing Ye School of Automation Northwestern Polytechnical UniversityXi'an710072China School of Automation Central South UniversityChangsha410083China State Key Laboratory of Pulsed Power Laser Technology National University of Defense TechnologyHefei230037China

Aiming at the problem of shadow interference in UAV's ground reconnaissance,a color and polarization synergistic target detection method is proposed for anti-shadow interference,based on the influence of two physical characteristics(wavelength and polarization)under different illuminations.A valid fusion strategy is proposed via integrating two separate detection results on color and polarization ***,a local enhancement and recognition module(LER)is introduced to boost the *** on our built dataset,experimental results show that our method achieves mAPof 87.76%,and12.37%higher than that of color image and 14.68%higher than that of polarization image.

关键词： Electro-optical countermeasure Ground reconnaissance Color-polarization Shadow interference Target recognition

A multiscale adaptive framework based on convolutional neural network: Application to fluid catalytic cracking product yield prediction

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Petroleum Science 2024年第4期21卷 2849-2869页

作者： Nan Liu chun-Meng Zhu Meng-Xuan zhang Xing-Ying Lan State Key Laboratory of Heavy Oil Processing China University of Petroleum (Beijing) College of Artificial Intelligence China University of Petroleum (Beijing)

Since chemical processes are highly non-linear and multiscale, it is vital to deeply mine the multiscale coupling relationships embedded in the massive process data for the prediction and anomaly tracing of crucial process parameters and production indicators. While the integrated method of adaptive signal decomposition combined with time series models could effectively predict process variables, it does have limitations in capturing the high-frequency detail of the operation state when applied to complex chemical processes. In light of this, a novel Multiscale Multi-radius Multi-step Convolutional Neural Network(Msrt Net) is proposed for mining spatiotemporal multiscale information. First, the industrial data from the Fluid Catalytic Cracking(FCC) process decomposition using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN) extract the multi-energy scale information of the feature subset. Then, convolution kernels with varying stride and padding structures are established to decouple the long-period operation process information encapsulated within the multi-energy scale data. Finally, a reconciliation network is trained to reconstruct the multiscale prediction results and obtain the final output. Msrt Net is initially assessed for its capability to untangle the spatiotemporal multiscale relationships among variables in the Tennessee Eastman Process(TEP). Subsequently, the performance of Msrt Net is evaluated in predicting product yield for a 2.80 × 10～6 t/a FCC unit, taking diesel and gasoline yield as examples. In conclusion, Msrt Net can decouple and effectively extract spatiotemporal multiscale information from chemical process data and achieve a approximately reduction of 30% in prediction error compared to other time-series models. Furthermore, its robustness and transferability underscore its promising potential for broader applications.

关键词： Fluid catalytic cracking Product yield Data-driven modeling Multiscale prediction Data decomposition Convolution neural network

Rheological Behaviors of Polymers with Nanoparticles Tethered at Each End

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Chinese Journal of Polymer Science 2024年第3期42卷 400-406,I0009页

作者： Song-Qi zhang Wen-qing Wang Jia-Ping Lin Li-Quan Wang Shanghai Key Laboratory of Advanced Polymeric Materials Key Laboratory for Ultrafine Materials of Ministry of EducationSchool of Materials Science and EngineeringEast China University of Science and TechnologyShanghai 200237China

The polymer with nanoparticles tethered at each end is a unique model for unraveling the effect of chain ends on the polymer dynamics. We investigated the rheological behavior of this kind of polymer by using nonequilibrium molecular dynamics simulation. The effect of polymer lengths and nanoparticle radii on the complex moduli and viscosity was examined. The dependence of complex moduli on the frequency becomes less pronounced as the polymer is short or the nanoparticle is large. The shear thinning behavior was revealed for these systems, and the scaling exponent of complex viscosity with respect to the frequency was found to change from-1/2 to-3/4 as the polymer shortens or the nanoparticle enlarges. The rheological behavior was further explained by analyzing the mean square distance of nanoparticles. The simulation results were compared with the existing experimental finding, showing an agreement. The work provides information for understanding the chain end effect on polymer rheology.

关键词： Polymer rheology Modulus Viscosity Molecular dynamics

Large deflection deformation behavior of a Zr-based bulk metallic glass for compliant spinal fixation application

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Journal of Materials Science & Technology 2024年第6期173卷 86-99页

作者： Diao-Feng Li chun-Guang Bai Zhi-Qiang zhang Hui-Bo zhang Nan Li Jian Zhao Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China

A novel compliant spinal fixation designed based on the concept of compliant mechanisms can reduce the stress-shielding effect and adjacent segment degeneration(ASD)effectively,but propose higher requirements for the properties of the used *** metallic glasses(BMGs),as a kind of young biomaterials,exhibiting excellent comprehensive properties,which are attractive for compliant spinal ***,according to the practical service condition of the basic elements in compliant spinal fixation,large deflection deformation behaviors of Zr_(61)Ti_(2)Cu_(25)Al_(12)(at.%,ZT1)BMG beam,including elastic,yielding and plastic were investigated *** was shown that the theoretical nonlinear analytical solution curve as the benchmark not only with the capacity to predict the nonlinear load-deflection relation within the elastic deformation regime,but also assists to capture the yielding event roughly,which can be used as a powerful design tool for *** capture the beginning of the yielding event exactly,bending proof strength(σ_(p),0.05%)accompanied with tiny permanent strain of 0.05% was proposed and determined for BMGs in biomedical implant applications,which is of significance for setting the allowable operating limits of the basic flexible *** approach of interrupted loading-unloading cycles,plastic deformation driven by the bending moment can be classified into two typical stages:the initial stage which mainly characterized by the nucleation and intense interaction of abundant shear bands when the plastic strain below the critical value,and the second stage which dominated by the progressive propagation of shear bands and coupled with the emergence of shear offsets on tensile *** plasticity of BMG beam structures depends on the BMG's inherent plastic zone size(rp).When the half beam thickness less than that of the rp,the plastic deformation of BMGs will behave in a stable manner,which can be acted as the margin of safety effectiv

关键词： Metallic glasses Biomaterials Compliant spinal fixation Large deflection deformation Plastic deformation

Immune checkpoint inhibitors:breakthroughs in cancer treatment

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Cancer Biology & Medicine 2024年第6期21卷 451-472页

作者： Xueqing Kong Jinyi zhang Shuwei Chen Xianyang Wang qing Xi Han Shen Rongxin zhang Laboratory of Immunology and Inflammation School of Life Sciences and BiopharmaceuticsGuangdong Pharmaceutical UniversityGuangzhou 510006China Department of Biology School of Life Sciences and BiopharmaceuticsGuangdong Pharmaceutical UniversityGuangzhou 510006China

Over the past two decades,immunotherapies have increasingly been considered as first-line treatments for most *** such treatment is immune checkpoint blockade(ICB),which has demonstrated promising results against various solid tumors in clinical *** antibodies(mAbs)are currently available as immune checkpoint inhibitors(ICIs).These ICIs target specific immune checkpoints,including cytotoxic T-lymphocyte-associated antigen-4(CTLA-4)and programmed cell death protein 1(PD-1).Clinical trial results strongly support the feasibility of this immunotherapeutic ***,a substantial proportion of patients with cancer develop resistance or tolerance to treatment,owing to tumor immune evasion mechanisms that counteract the host immune ***,substantial research focus has been aimed at identifying additional ICIs or synergistic inhibitory receptors to enhance the effectiveness of anti-PD-1,anti-programmed cell death ligand 1(anti-PD-L1),and anti-CTLA-4 ***,several immune checkpoint molecular targets have been identified,such as T cell immunoreceptor with Ig and ITIM domains(TIGIT),mucin domain containing-3(TIM-3),lymphocyte activation gene-3(LAG-3),V-domain immunoglobulin suppressor of T cell activation(VISTA),B and T lymphocyte attenuator(BTLA),and signal-regulatory proteinα(SIRPα).Functional m Abs targeting these molecules are under ***-4,PD-1/PD-L1,and other recently discovered immune checkpoint proteins with distinct structures are at the forefront of *** review discusses these structures,as well as clinical progress in m Abs targeting these immune checkpoint molecules and their potential applications.

关键词： Immunotherapy cancer ICIs PD-1 CTLA-4

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南京色织厂锯齿形厂房加固改造设计与施工

建筑技术 2017年第2期48卷 185-187页

作者：淳庆张策东南大学建筑学院南京210096 南京城南历史文化保护与复兴有限公司南京210001

南京色织厂锯齿形厂房原为单层内框排架结构体系,建筑外围为砖墙承重,内部为混凝土排架承重,结构整体性和抗震性均较差,为满足后期作为公共建筑的使用和安全要求,通过加固改造,厂房将成为单层钢筋混凝土框排架结构体系,以满足规范要求... 详细信息

南京色织厂锯齿形厂房原为单层内框排架结构体系,建筑外围为砖墙承重,内部为混凝土排架承重,结构整体性和抗震性均较差,为满足后期作为公共建筑的使用和安全要求,通过加固改造,厂房将成为单层钢筋混凝土框排架结构体系,以满足规范要求。对锯齿形厂房加固改造时应考虑的若干关键问题进行讨论,包括检测鉴定、计算分析、基础加固、混凝土构件加固及抗震构造加固等。

关键词：内框排架结构框排架结构加固改造

Carvedilol may attenuate liver cirrhosis by inhibiting angiogenesis through the VEGF-Src-ERK signaling pathway

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World Journal of Gastroenterology 2015年第32期21卷 9566-9576页

作者： Qian Ding Xiang-Guo Tian Yan Li Qi-Zhi Wang chun-qing zhang Department of Gastroenterology Provincial Hospital Affiliated to Shandong University

AIM: To investigate the effect of carvedilol on angiogenesis and the underlying signaling ***: The effect of carvedilol on angiogenesis was examined using a human umbilical vascular endothelial cell(HUVEC) model. The effect of carvedilol on cell viability was measured by CCK8 assay. Flow cytometry was used to assess the effect of carvedilol on cell cycle progression. Cell migration, transwell migration and tube formation assays were performed to analyze the effect of carvedilol on HUVEC function. Vascular endothelial growth factor(VEGF) induced activation of HUVECs, which were pretreated with different carvedilol concentrations or none. Western blot analysis detected the phosphorylation levels of three cell signaling pathway proteins, VEGFR-2, Src, and extracellular signal-regulated kinase(ERK). The specific Src inhibitor PP2 was used to assess the role of Src in the VEGF-induced angiogenic ***: Carvedilol inhibited HUVEC proliferation in a dose-dependent manner(IC50 = 38.5 mmol/L). The distribution of cells in the S phase decreased from 43.6% to 37.2%, 35.6% and 17.8% by 1, 5 and 10 μmol/L carvedilol for 24 h, respectively. Carvedilol(10 μmol/L) reduced VEGF-induced HUVEC migration from 67.54 ± 7.83 to 37.11 ± 3.533(P < 0.001). Carvedilol concentrations of 5 μmol/L and 10 μmol/L reduced cell invasion from 196.3% ± 18.76% to 114.0% ± 12.20% and 51.68% ± 8.28%, respectively. VEGFinduced tube formation was also reduced significantly by 5 μmol/L and 10 μmol/L carvedilol from 286.0 ± 36.72 to 135.7 ± 18.13(P < 0.05) and 80.27 ± 11.16(P < 0.01) respectively. We investigated several intracellular protein levels to determine the reason for these reductions. Treatment with 10 μmol/L carvedilol reduced VEGF-induced tyrosine phosphorylation of VEGFR-2 from 175.5% ± 8.54% to 52.67% ± 5.33%(P < 0.01). Additionally, 10 μmol/L carvedilol reduced VEGF-induced ERK 1/2 phosphorylation from 181.9% ± 18.61% to 56.45% ± 7.64%(P < 0.01). The VEGFinduced increase

关键词： Carvedilol Adrenergic β-antagonists Angiogenesis L