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Shape embedding and retrieval in multi-ﬂow deformation

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Computational Visual Media 2024年第3期10卷 439-451页

作者： Baiqiang Leng Jingwei Huang Guanlin Shen bin wang School of Software Tsinghua UniversityBeijingChina Huawei Technologies ShenzhenChina

We propose a unified 3D ﬂow frameworkfor joint learning of shape embedding and deformationfor different categories. Our goal is to recovershapes from imperfect point clouds by fitting thebest shape template in a shape repository afterdeformation. Accordingly, we learn a shape embeddingfor template retrieval and a ﬂow-based network forrobust deformation. We note that the deformationﬂow can be quite different for different shapecategories. Therefore, we introduce a novel multi-hubmodule to learn multiple modes of deformation toincorporate such variation, providing a network whichcan handle a wide range of objects from differentcategories. The shape embedding is designed to retrievethe best-fit template as the nearest neighbor in a latentspace. We replace the standard fully connected layerwith a tiny structure in the embedding that significantlyreduces network complexity and further improvesdeformation quality. Experiments show the superiorityof our method to existing state-of-the-art methods viaqualitative and quantitative comparisons. Finally, ourmethod provides efficient and flexible deformation thatcan further be used for novel shape design.

关键词： deformation shape retrieval embedding reconstruction

Low cost and low density chloride solid electrolyte for all solid state cathode with high active material ratio

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Nano Research 2024年第10期17卷 8826-8833页

作者： Hao-Yuan Tan Mei-Yu Zhou Zhongyuan Huang Jin-Da Luo Jing-Tian Yang Jian-Ping wang Ye-Chao Wu Xiao-bin Cheng Zi-Wei wang Xu-Dong Hao Linjun wang Ke Gong Yi-Chen Yin Yinguo Xiao hong-bin Yao Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of ChinaHefei 230026China Department of Applied Chemistry University of Science and Technology of ChinaHefei 230026China School of Advanced Materials Peking University Shenzhen Graduate SchoolShenzhen 518055China

Chloride solid electrolytes(SEs)have attracted widespread attention due to their high room-temperature ionic conductivity and excellent cathode ***,the conventionally selected central metal elements(e.g.,In,Y and Ta)are usually rare and heavy,inevitably causing the high cost and high density of the obtained chloride ***,by choosing abundant and light Mg and Al as central metal elements,we develop a cheap and low density Li_(1.2)Mg_(0.95)Al_(0.3)Cl_(4)SE for high active material ratio in all solid state *** replacement of Mg^(2+)by Al^(3+)in the framework yields vacancies and lowers the non-lithium metal ions occupancy at Mg/Li co-occupied 16d site,effectively relieving the blocking effects by Mg^(2+)in the pristine spinel Li_(2-2x)Mg_(1+x)Cl_(4).Thus,a significantly improved room-temperature conductivity of 3.08×10^(-4)S·cm^(-1)is achieved,two orders of magnitude higher than that of Li_(1.2)Mg_(1.4)Cl_(4).More attractively,its low density of only 1.98 g·cm-3 enables low SE mass ratio in cathodes(only 16 wt.%)with still effective electrolyte/cathode contact and lithium-ion conduction *** charged to potential of 4.30 V,the asfabricated Li_(1.2)Mg_(0.95)Al_(0.3)Cl_(4)-based solid lithium battery with uncoated NCM523 cathode can be cycled for over 100 cycles with a capacity retention of 86.68%at room temperature.

关键词： chloride solid electrolytes low cost low density Li+conductivities

Immunomodulatory Function of Pien Tze Huang in T Cell-Mediated Anti-tumor Activity against B16-F10,MC38 and Hep1-6 Tumor Models

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Chinese Journal of Integrative Medicine 2024年第4期30卷 348-358页

作者： FU Yu-bing LIU Chen-feng wang Jin-jia JI Xiao-lin TANG Rong-han LIAO Kun-yu CHEN Ling-yue hong Ya-zhen FAN bin-bin wang Shi-cong LIU Wen-Hsien State Key Laboratory of Cellular Stress Biology School of Life SciencesFaculty of Medicine and Life ScienceXiamen UniversityXiamenFujian Province(361102)China Fujian Pien Tze Huang Enterprise Key Laboratory of Natural Medicine Research and Development ZhangzhouFujian Province(363000)China

Objective To investigate the anti-tumor effects of Pien Tze Huang(PZH)in mouse models of B16–F10 melanoma,MC38 colorectal cancer,Hep1-6 hepatocellular carcinoma and chemically induced hepatocellular carcinoma *** Various tumor models,including B16–F10,MC38 and Hep1-6 tumor hypodermic inoculation models,B16–F10 and Hep1-6 pulmonary metastasis models,Hep1-6 orthotopic implantation model,and chemically induced hepatocellular carcinoma model,were utilized to evaluate the anti-tumor function of *** growth was assessed by measuring tumor size and weight of solid tumors isolated from C57BL/6 *** cell proliferation and death of tumor cells in vitro,as well as T cell activation markers,cytokine production and immune checkpoints analysis,single-cell suspensions were prepared from mouse spleen,lymph nodes,and tumors after PZH *** PZH demonstrated significant therapeutic efficacy in inhibiting tumor growth(P0.05).Nevertheless,PZH exhibited a remarkable ability to enhance T cell activation and the production of interferon gamma,tumor necrosis factor alpha,and interleukin 2 in CD4^(+)T cells in vitro(P<0.01 or P<0.05).Importantly,PZH substantially inhibited T cell exhaustion and boosted cytokine production by tumor-infiltrating CD8^(+)T cells(P<0.01 or P<0.05).Conclusion This study has confirmed a novel immunomodulatory function of PZH in T cell-mediated anti-tumor immunity,indicating that PZH holds promise as a potential therapeutic agent for cancer treatment.

关键词： Pien Tze Huang metastasis anti-tumor immunity T cell activation T cell exhaustion immune checkpoints Chinese medicine

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基于遗传算法和种子概念的本体概念提取算法

系统工程与电子技术 2010年第11期32卷 2465-2469页

作者：王红滨刘大昕王念滨哈尔滨工程大学计算机科学与技术学院

本体学习技术是利用本体工程技术和机器学习技术等众多学科技术来实现本体(半)自动构建的一项技术。通过研究中文本体学习这一领域存在的问题,提出了基于遗传算法和种子概念的本体概念提取算法。介绍了当前基于非结构化数据源的本体概... 详细信息

本体学习技术是利用本体工程技术和机器学习技术等众多学科技术来实现本体(半)自动构建的一项技术。通过研究中文本体学习这一领域存在的问题,提出了基于遗传算法和种子概念的本体概念提取算法。介绍了当前基于非结构化数据源的本体概念主要提取算法,在遗传算法和种子概念的基础上,设计了一种基于非结构化数据源的本体概念提取算法。实验证明,本算法在特定领域本体学习方面取得了良好的效果。

关键词：本体学习遗传算法扩展种子概念种子繁殖

Characterizations of semihoops based on derivations

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Applied Mathematics(A Journal of Chinese Universities) 2024年第2期39卷 291-310页

作者： wang Mei ZHANG Xiao-hong School of Electrical and Control Engineering Shaanxi University of Science and TechnologyXi'an 710021China School of Arts and Sciences Shaanxi University of Science and TechnologyXi'an 710021China School of Mathematics and Statistics Weinan Normal UniversityWeinan 714099China

In this paper,we discuss the related properties of some particular derivations in semihoops and give some characterizations of ***,we prove that every Heyting algebra is isomorphic to the algebra of all multiplicative derivations and show that every Boolean algebra is isomorphic to the algebra of all implicative ***,we show that the sets of multiplicative and implicative derivations on bounded regular idempotent semihoops are in oneto-one correspondence.

关键词： (prelinear)semihoop derivation Heyting algebra Galois connection

Study on the metastable state of dilution of spectinomycin

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中国抗生素杂志 2003年第1期28卷 10-16,22页

作者：鲍颖王静康王永莉戚振王宏斌天津大学化工学院天津300072 山东鲁抗医药集团有限公司济宁272121

采用诱导期法和直接法研究了大观霉素溶析结晶的介稳态.新相形成由多核机理控制.由多核机理得到两个操作温度下溶析结晶的介稳区.实验考察了丙酮浓度和温度对溶析结晶介稳态的影响.随着丙酮浓度的增大或温度的降低,诱导期延长.介稳区宽... 详细信息

采用诱导期法和直接法研究了大观霉素溶析结晶的介稳态.新相形成由多核机理控制.由多核机理得到两个操作温度下溶析结晶的介稳区.实验考察了丙酮浓度和温度对溶析结晶介稳态的影响.随着丙酮浓度的增大或温度的降低,诱导期延长.介稳区宽度随溶解度的减小而变宽.大观霉素初级成核的过饱和度水平较高,属于第Ⅰ类物系.根据经典成核理论估算了大观霉素成核参数.这些实验结果对大观霉素溶析结晶工业生产的控制具有重要意义.

关键词：大观霉素溶析结晶超溶解度介稳区

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一种本体学习中的领域概念筛选算法

系统工程与电子技术 2010年第1期32卷 175-178页

作者：王红滨刘大昕王念滨王桐哈尔滨工程大学计算机科学与技术学院黑龙江哈尔滨150001 哈尔滨工程大学信息与通信工程学院黑龙江哈尔滨150001

由于现有领域概念筛选方法中领域筛选存在不准确的缺点,提出了一种改进的本体学习中的领域概念筛选算法。该算法针对领域相关度和领域一致度公式存在的信息描述不全的缺点进行改进,给出了改进公式和领域概念筛选算法。实验数据表明,该... 详细信息

由于现有领域概念筛选方法中领域筛选存在不准确的缺点,提出了一种改进的本体学习中的领域概念筛选算法。该算法针对领域相关度和领域一致度公式存在的信息描述不全的缺点进行改进,给出了改进公式和领域概念筛选算法。实验数据表明,该方法提高了领域概念筛选的有效性,取得了很好的效果。

关键词：人工智能本体学习筛选算法领域概念

On the two-layer high-level Green-Naghdi model in a general form

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Journal of Hydrodynamics 2024年第1期36卷 78-86页

作者： bin-bin Zhao Tian-yu Zhang Zhan wang Wen-yang Duan Alexander Chesnokov Natalia Shmakova College of Shipbuilding Engineering Harbin Engineering UniversityHarbin150001China Qingdao Innovation and Development Center of Harbin Engineering University Qingdao266000China Lavrentyev Institute of Hydrodynamics NovosibirskRussia

The traditional high-level Green-Naghdi(HLGN)model,which uses the polynomial as the shape function to approximate the variation of the horizontal-and vertical-velocity components along the vertical direction for each-fluid layer,can accurately describe the large-amplitude internal waves in a two-layer system for the shallow configuration(h_(2)/λ■1,h_(1)/λ■1).However,for the cases of the deep configuration(h_(2)/λ■1,h_(1)/λ=O(1)),higher-order polynomial is needed to approximate the variation of the velocity components along the vertical direction for the lower-fluid ***,however,introduces additional unknowns,leading to a significant increase in computational *** paper,for the first time,derives a general form of the HLGN model for a two-layer fluid system,where the general form of the shape function is used during the *** obtaining the general form of the two-layer HLGN equations,corresponding solutions can be obtained by determining the reasonable shape ***-amplitude internal solitary waves in a deep configuration are studied by use of two different HLGN *** of the two HLGN models shows that the polynomial as the shape function for the upper-fluid layer and the production of exponential and polynomial as the shape function for the lower-fluid layer is a good *** comparing with Euler’s solutions and the laboratory measurements,the accuracy of the two-layer HLGN model is verified.

关键词： High-level Green-Naghdi(HLGN)model general form internal waves deep configuration

Predication of Selective Ring-opening Hydrogenolysis for Furfuryl Alcohol to Produce Pentanediol over Dual-atom Catalysts

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Chemical Research in Chinese Universities 2024年第1期40卷 55-63页

作者： wang Tingting wang Jia XI Yongjie HU bin LI Fuwei State Key Laboratory for Oxo Synthesis and Selective Oxidation Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000P.R.China University of Chinese Academy of Sciences Beijing 100049P.R.China

Selective activation of C-O bond is of fundamental importance in the precise conversion of oxygenates into value-added compounds in an atom-economic and sustainable manner, and meanwhile, the structurally well-defined dual-atoms catalysts (DACs) have been scarcely investigated in this field. In this study, a series of transition metal DACs anchored on nitrogen-doped graphene (TM2/NC, TM=Pt, Ir, Rh, Pd, Ru, Co, Ni and Cu) was constructed to make a comprehensive investigation of their selectivity in the hydrogenative transformation of furfuryl alcohol (FAL), an important biomass platform molecule, to 1,2-pentanediol (1,2-PeD) via selective cleavage of furanic C5-O bond, by density functional theory (DFT) calculations and microkinetic modeling. We found that Ir2/NC demonstrated a high selectivity for the cleavage of furanic C5-O bond to produce 1,2-PeD, while the production of THFAL or 1,5-pentanediol (1,5-PeD) on other TM2/NC catalysts are more favorable. Furthermore, we found that the selective C-O bond cleavage of FAL furan ring is affected by the orbital overlap between the d-orbitals of the anchored metal atoms and the p-orbitals of the adsorbed C atom in FAL, suggesting that the selectivity of the C-O bond cleavage is inextricably related with the electronic property of the anchored metals.

关键词： Furfuryl alcohol Hydrogenation Dual-atom catalyst Density functional theory(DFT)calculation