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克立硼罗软膏在皮肤科中的应用进展

中华皮肤科杂志 2024年第10期57卷 962-966页

作者：杨思燕马琳张斌郑州大学附属儿童医院、河南省儿童医院郑州儿童医院皮肤科、河南省儿科疾病临床医学研究中心郑州450018 国家儿童医学中心、首都医科大学附属北京儿童医院皮肤科北京100045

克立硼罗是一种磷酸二酯酶4抑制剂,已在国内被批准用于轻度至中度特应性皮炎患者的治疗。此外,克立硼罗软膏也被报道成功治疗多种炎症性皮肤疾病。本文综述克立硼罗的作用机制及其在特应性皮炎、银屑病、白癜风、脂溢性皮炎、炎性线状... 详细信息

克立硼罗是一种磷酸二酯酶4抑制剂,已在国内被批准用于轻度至中度特应性皮炎患者的治疗。此外,克立硼罗软膏也被报道成功治疗多种炎症性皮肤疾病。本文综述克立硼罗的作用机制及其在特应性皮炎、银屑病、白癜风、脂溢性皮炎、炎性线状疣状表皮痣、慢性单纯性苔藓、色素性痒疹、斑秃、浆细胞性龟头炎、扁平苔藓等皮肤疾病治疗中的研究进展。

关键词：环核苷酸磷酸二酯酶类 4型磷酸二酯酶4抑制剂克立硼罗软膏皮肤疾病治疗皮炎特应性银屑病白癜风

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基于数字孪生技术的草场放牧系统

湖南农业大学学报（自然科学版） 2024年第3期50卷 101-107页

作者：张锐赵锦钰王燕杨思妍黄津川范云飞李刚天津科技大学电子信息与自动化学院天津300222 天津城建大学计算机与信息工程学院天津300384 内蒙古大学计算机学院内蒙古呼和浩特010021

运用数字孪生技术,在对草场环境及牲畜状态进行感知的基础上建立草场放牧监测系统。该系统将虚拟仿真技术Unity3D应用于草场放牧场景的孪生三维模型,为后续监测呈现可视化效果;采用无线传输技术搭建采集网络,实现草场及牲畜信息交互的功... 详细信息

运用数字孪生技术,在对草场环境及牲畜状态进行感知的基础上建立草场放牧监测系统。该系统将虚拟仿真技术Unity3D应用于草场放牧场景的孪生三维模型,为后续监测呈现可视化效果;采用无线传输技术搭建采集网络,实现草场及牲畜信息交互的功能,并选用模糊综合评价方法对草场进行放牧强度划分。为了验证该系统的有效性,以内蒙古锡林郭勒盟锡林浩特市毛登牧场的真实场景为例进行综合试验。结果表明:与传统的放牧监测系统相比,该系统运用数字孪生技术实现了数据共享和物理草场与孪生草场信息的同步,有效解决了传统放牧监测中决策滞后的问题;通过孪生草场能对物理草场的放牧场景进行仿真模拟,不受客观条件限制,能有效预测各种放牧情况,实现草场环境及牲畜放牧状态精准监测,在实际放牧中能及时应对突发情况,提升草场放牧决策的自主性。

关键词：草场放牧系统数字孪生技术虚拟现实 Unity3D 模糊综合评价方法在线监测

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亚麻木酚素的药理作用研究进展

现代药物与临床 2024年第4期39卷 1061-1066页

作者：杨思雁周玉晶易灏森袁月钱余培余润宇杨芷胭赵文昌宋丽军广东医科大学广东东莞523808 东莞市中药抗炎成分筛选与研究重点实验室广东东莞523808

亚麻木酚素主要来源于亚麻籽,具有显著的生物活性。亚麻木酚素具有抗氧化作用、抗炎作用、抗肿瘤作用、抗心血管疾病、抗骨质疏松作用、抗凋亡作用、降糖作用等。综述了亚麻木酚素药理作用的研究进展,以期为亚麻木酚素的研究和开发利用... 详细信息

亚麻木酚素主要来源于亚麻籽,具有显著的生物活性。亚麻木酚素具有抗氧化作用、抗炎作用、抗肿瘤作用、抗心血管疾病、抗骨质疏松作用、抗凋亡作用、降糖作用等。综述了亚麻木酚素药理作用的研究进展,以期为亚麻木酚素的研究和开发利用提供依据。

关键词：亚麻木酚素抗氧化作用抗炎作用抗肿瘤作用抗心血管疾病抗骨质疏松作用抗凋亡作用降糖作用

Bioinspired Topological Surfaces for Mitigating Water,Thermal and Energy Crises

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Accounts of Materials Research 2022年第2期3卷 199-212页

作者： Wei Zhang Yuankai Jin siyan yang Huanhuan Zhang Zuankai Wang Department of Mechanical Engineering and Research Center for Nature-Inspired Engineering City University of Hong KongHong Kong 999077P.R.China

CONSPECTUS:The remarkable advances in technical and industrial fields have stimulated the world’s economic prosperity and population growth while also exacerbating the global water,thermal,and energy *** mitigate these crises,numerous large-scale devices have been constructed to harvest water,dissipate heat,and generate energy,yet they still encounter several bottlenecks,such as bulky size and climatic and/or geographic *** contrast,miniature and portable water-based devices have demonstrated their tremendous potential in water harvesting and thermal/energy management due to the ubiquitous existence,large phase-change latent heat,and abundant kinetic energy of *** to the strong dependence of their performance on the interfacial interactions between water and a surface,designing novel surface topology,in both physical and chemical aspects,is of practical importance to impart them with the ability to control the interfacial interaction/exchange among water,heat,and energy in an efficient,precise,and programmable manner.

关键词： interfacial precise topology

Photothermal superhydrophobic copper nanowire assemblies: fabrication and deicing/defrosting applications

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International Journal of Extreme Manufacturing 2023年第4期5卷 472-484页

作者： siyan yang Qixun Li Bingang Du Yushan Ying Yijun Zeng Yuankai Jin Xuezhi Qin Shouwei Gao Steven Wang Zuankai Wang Rongfu Wen Xuehu Ma State Key Laboratory of Fine Chemicals&Frontier Science Center for Smart Materials School of Chemical EngineeringDalian University of TechnologyDalian 116024People’s Republic of China Department of Mechanical Engineering City University of Hong KongHong Kong 999077People’s Republic of China Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHong Kong 999077People’s Republic of China

Ice and frost buildup continuously pose significant challenges to multiple *** a promising de-icing/defrosting alternative,designing photothermal coatings that leverage on the abundant sunlight source on the earth to facilitate ice/frost melting has attracted tremendous attention ***,previous designs suffered from either localized surface heating owing to the limited thermal conductivity or unsatisfied meltwater removal rate due to strong water/substrate ***,we developed a facile approach to fabricate surfaces that combine photothermal,heat-conducting,and superhydrophobic properties into one to achieve efficient de-icing and *** copper nanowire assemblies,such surfaces were fabricated via the simple template-assisted electrodeposition method,allowing us to tune the nanowire assembly geometry by adjusting the template dimensions and electrodeposition *** highly ordered copper nanowire assemblies facilitated efficient sunlight absorption and lateral heat spreading,resulting in a fast overall temperature rise to enable the thawing of ice and *** promoted by the excellent water repellency of the surface,the thawed ice and frost could be spontaneously and promptly *** this way,the all-in-one design enabled highly enhanced de-icing and defrosting performance compared to other nanostructured surfaces merely with superhydrophobicity,photothermal effect,or the combination of *** particular,the defrosting efficiency could approach∼100%,which was the highest compared to previous ***,our approach demonstrates a promising path toward designing highly effective artificial deicing/defrosting surfaces.

关键词： nanowire photothermal superhydrophobic de-icing defrosting

Application of deep learning for informatics aided design of electrode materials in metal-ion batteries

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Green Energy & Environment 2024年第5期9卷 877-889页

作者： Bin Ma Lisheng Zhang Wentao Wang Hanqing Yu Xianbin yang siyan Chen Huizhi Wang Xinhua Liu School of Transportation Science and Engineering Beihang UniversityBeijing102206China College of Automotive Engineering Jilin UniversityChangchun130022China Department of Mechanical Engineering Imperial College LondonLondonSW72BXUK

To develop emerging electrode materials and improve the performances of batteries,the machine learning techniques can provide insights to discover,design and develop battery new materials in high-throughput *** this paper,two deep learning models are developed and trained with two feature groups extracted from the Materials Project datasets to predict the battery electrochemical performances including average voltage,speciﬁc capacity and speciﬁc *** deep learning models are trained with the multilayer perceptron as the *** Bayesian optimization and Monte Carlo methods are applied to improve the prediction accuracy of *** on 10 types of ion batteries,the correlation coefﬁcients are maintained above 0.9 compared to DFT calculation results and the mean absolute error of the prediction results for voltages of two models can reach 0.41 V and 0.20 V,*** electrochemical performance prediction times for the two trained models on thousands of batteries are only 72.9 ms and 75.7 ***,the two deep learning models are applied to approach the screening of emerging electrode materials for sodium-ion and potassium-ion *** work can contribute to a high-throughput computational method to accelerate the rational and fast materials discovery and design.

关键词： Cathode materials Material design Electrochemical performance prediction Deep learning Metal-ion batteries

Minimizing endogenous cryptic plasmids to construct antibiotic-free expression systems for Escherichia coli Nissle 1917

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Synthetic and Systems Biotechnology 2024年第1期9卷 165-175页

作者： siyan Zhou Linlin Zhao Wenjie Zuo Yilin Zheng Ping Zhang Yanan Sun yang Wang Guocheng Du Zhen Kang The Science Center for Future Foods Jiangnan UniversityWuxi214122China The Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of EducationSchool of BiotechnologyJiangnan UniversityWuxi214122China The Key Laboratory of Industrial Biotechnology Ministry of EducationSchool of BiotechnologyJiangnan UniversityWuxi214122China

The probiotic bacterium Escherichia coli Nissle 1917(EcN)holds significant promise for use in clinical and biological ***,the reliance on antibiotics to maintain plasmid-borne genes has overshadowed its *** this study,we addressed this issue by engineering the endogenous cryptic plasmids pMUT1 and *** non-essential elements were removed to create more stable derivatives pMUT1NR△and pMUT2HBC△.Synthetic promoters by integrating binding motifs on sigma factors were further constructed and applied for expression of Bacteroides thetaiotaomicron heparinaseⅢand the biosynthesis of *** to traditional antibiotic-dependent expression systems,our newly constructed antibiotic-free expression systems offer considerable advantages for clinical and synthetic biology applications.

关键词： Cryptic plasmids Antibiotic-free Gene expression Plasmid stability E.coli Nissle 1917

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结合高阶图模型与蚁群优化的图像匹配方法

西安电子科技大学学报 2017年第1期44卷 159-164页

作者：杨思燕曹文灿李世平陕西广播电视大学计算机与信息管理系陕西西安710119 西安市西光中学陕西西安710043

图像匹配是计算机视觉领域中的一个重要的问题.针对基于图结构模型的图像匹配方法,研究了图模型框架的建立方法以及二阶约束和高阶约束下的图匹配算法框架.为了克服传统的求驻点的优化方法易陷入局部最优解的不足,采用蚁群算法优化目标... 详细信息

图像匹配是计算机视觉领域中的一个重要的问题.针对基于图结构模型的图像匹配方法,研究了图模型框架的建立方法以及二阶约束和高阶约束下的图匹配算法框架.为了克服传统的求驻点的优化方法易陷入局部最优解的不足,采用蚁群算法优化目标函数,提出一种基于蚁群算法的高阶图匹配方法.该算法使用张量值计算启发因子提供先验知识,然后根据启发因子和信息素计算转移概率,最后利用搜索到的解对信息素进行局部更新和全局更新.实验表明,该算法能获得比较高的匹配精度,并且在形变噪声、外点和视角变化等因素的干扰下仍具有很强的鲁棒性.

关键词：图像匹配蚁群算法高阶图匹配优化

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基于GHT的多目标检测自适应终止算法

数据采集与处理 2020年第3期35卷 526-535页

作者：杨思燕贺国旗陕西广播电视大学信息与智能技术学院西安710119

针对广义霍夫变换(Generalized Hough transform,GHT)在多目标检测时存在的难以自适应终止的问题,提出基于霍夫空间局部峰值变化率的GHT多目标检测自适应终止算法。该算法主要依据待检测图像的霍夫空间中目标区域的局部峰值之间差异较小... 详细信息

针对广义霍夫变换(Generalized Hough transform,GHT)在多目标检测时存在的难以自适应终止的问题,提出基于霍夫空间局部峰值变化率的GHT多目标检测自适应终止算法。该算法主要依据待检测图像的霍夫空间中目标区域的局部峰值之间差异较小,而有目标区域与无目标区域的局部峰值之间差异较大的规律,使得GHT类算法可以自适应终止。该算法的主要步骤为:首先通过GHT算法获得目标在原始图像中的累计匹配分布,并对分布结果进行降序排序,再根据累计峰值的平均变化率自适应地检测出多个目标识别结果,并终止算法。实验表明,相对于传统算法,该算法在没有明显增加算法复杂度的情况下,能够准确地检测出图像中存在的多目标信息,并且能够实现多目标检测算法的自适应终止。

关键词：广义霍夫变换多目标检测霍夫空间峰值变化率