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采用免疫算法的离心压缩机叶轮多目标优化及性能分析

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西安交通大学学报 2024年第2期58卷 56-65页

作者：梁璐宫武旗刘一彤王芳西安交通大学能源与动力工程学院西安710049

为进一步探索高性能离心压缩机的优化设计方法,以某气浮轴承离心制冷压缩机叶轮为研究对象,结合多层前向神经网络,发展了基于非支配近邻免疫算法的叶轮多目标优化策略。首先,采用免疫算法优化神经网络的隐含层结构,以提升其作为代理模... 详细信息

为进一步探索高性能离心压缩机的优化设计方法,以某气浮轴承离心制冷压缩机叶轮为研究对象,结合多层前向神经网络,发展了基于非支配近邻免疫算法的叶轮多目标优化策略。首先,采用免疫算法优化神经网络的隐含层结构,以提升其作为代理模型的非线性逼近能力;其次,以近喘振点、设计点、近堵塞点的多变效率最大为优化目标,采用免疫算法进行叶轮全工况性能寻优,并通过数值仿真对优化前、后叶轮的气动性能及流动特性进行了对比分析。仿真结果表明:采用免疫算法进行优化后,叶轮在近喘振点、设计点、近堵塞点的多变效率分别提高了1.8%、1.9%、4%,稳定运行工况范围明显拓宽;对比流场后发现,在90%叶高处,主叶片和分流叶片载荷从前缘至尾缘均明显增加,叶片做功能力增大;分流叶片进口倾角减小使得叶片进口冲击损失降低,流道内泄漏流与主流掺混现象明显减弱,叶轮内部流动更加均匀。研究结果验证了所提多目标优化策略的有效性。

关键词：离心制冷压缩机多层前向神经网络非支配近邻免疫算法气动性能多目标优化

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提高市级公立医院编外人员稳定性的对策探讨

继续医学教育 2024年第2期38卷 153-156页

作者：陆奕同天津市南开医院人事科天津300100

近年来,我国经济社会不断发展,人民群众对健康需求不断提升。公立医院作为医疗服务的重要组成部分,发挥着重要作用。随着医疗机构的规模和工作量的不断扩大,编外人员队伍也在不断扩大,编外人员流动性大的问题日益突出。如今编外人员在... 详细信息

近年来,我国经济社会不断发展,人民群众对健康需求不断提升。公立医院作为医疗服务的重要组成部分,发挥着重要作用。随着医疗机构的规模和工作量的不断扩大,编外人员队伍也在不断扩大,编外人员流动性大的问题日益突出。如今编外人员在维持医院正常运作和稳定发展过程中起着至关重要的作用,且编外人员是扩大医院职工队伍中的主要组成部分,能够为医院创造极大的效益。文章通过梳理当前医院对于编外人员管理的实践经验,以期找到提高公立医院编外人员稳定性的对策。

关键词：市级公立医院编外人员稳定性对策探讨

耐温抗盐强乳化聚-表二元复合驱油体系研究及应用

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西安石油大学学报（自然科学版） 2024年第1期39卷 48-55页

作者：许文赟潘彬李鑫王颐同邵彤朱璐中国石油玉门油田分公司工程技术研究院甘肃酒泉735000 中国石油玉门油田分公司老君庙采油厂甘肃酒泉735019

针对高温高盐油藏采用常规聚合物和表面活性剂驱油效果较差的问题,将耐温抗盐型聚合物SPAM-1和阴-非离子复合型表面活性剂YANC-E进行复配,研制了一种适合高温高盐油藏的耐温抗盐强乳化聚-表二元复合驱油体系,并通过室内实验评价了驱油... 详细信息

针对高温高盐油藏采用常规聚合物和表面活性剂驱油效果较差的问题,将耐温抗盐型聚合物SPAM-1和阴-非离子复合型表面活性剂YANC-E进行复配,研制了一种适合高温高盐油藏的耐温抗盐强乳化聚-表二元复合驱油体系,并通过室内实验评价了驱油体系的综合性能。结果表明:该二元复合驱油体系的耐温性能较强,在115℃下老化后,体系的黏度保留率仍能达到90%以上,界面张力仍能达到10^(-3)mN/m数量级;体系具有良好的抗盐性能,当矿化度大于100000 mg/L时,体系仍能保持较高的黏度和较低的界面张力;体系具有良好的长时间老化稳定性能,在储层温度和矿化度条件下老化60 d后的黏度保留率在85%以上,界面张力始终维持在10^(-3)mN/m范围内;驱油体系与原油形成的乳状液稳定性较强,放置120 min后乳状液的分水率小于20%,具有较强的乳化性能;驱油体系在地层条件下吸附6次后仍能保持较高的黏度和较低的界面张力,具有良好的抗吸附性能。另外,岩心水驱结束后注入0.5 PV二元复合驱油体系,能使采收率继续提高25%以上,驱油效果较好。A区块内5口采油井在实施耐温抗盐强乳化聚-表二元复合驱油措施后,日产油量显著提高,含水率明显降低,取得了良好的现场应用效果。

关键词：高温高盐聚-表二元复合驱乳化性能吸附性能驱油性能

Fabrication of Durable Superhydrophobic Stainless Steel Mesh with Nano/Micro Flower-Like Morphologies for Self-Cleaning and Efficient Oil/Water Separation

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Journal of Bionic Engineering 2022年第6期19卷 1615-1624页

作者： Changlian Xu yitong luo lu Zhou Yiwen Bi Hao Sun College of Environmental Sciences Sichuan Agricultural University-Chengdu Campus211 Huimin RoadChengdu611130China

How to fabricate durable superhydrophobic materials for cyclic oil/water separation to solve oil-induced pollutions is still a problem.Herein,we fabricated a durable Superhydrophobic Stainless Steel Mesh(SH-SSM)with nano/micro flower-like sheets by self-assembly of zinc stearate for the cyclic separation of various oil/water mixtures.The SH-SSM exhibits durable superhydrophobicity against static or dynamic treatments.In virtue of durable superhydrophobicity of the SH-SSM,the dusts on surface of SH-SSM can be removed completely by running water immediately showing excellent self-cleaning performance.Moreover,the SH-SSM can be used to perform gravity-driven separation of heavy oil/water and light oil/water mixtures by utilizing its superhydrophobicity that oil phase penetrates the mesh and water phase is restricted.Separation efficiencies of the SH-SSM can reach 99.99%.After 20 cycles of separation,the separation efficiencies for are>97.00%and>98.25%for heavy oil/water and light oil/water mixtures,respectively.Flux values of dichloromethane,hexane and petroleum ether are 2.5×10^(5) L m^(−2) h^(−1),1.7×10^(5) L m^(−2) h^(−1),and 1.8×10^(5) L m^(−2) h^(−1),respectively.This study proposes a facial approach to prepare durable superhydrophobic and self-cleaning material for cyclic and fast separation of oil/water.

关键词： Oil-water separation Self-assembly Superhydrophobic Self-cleaning Bioinspired

Precision intervention of cell type-specific targeting is required for future cancer immunotherapy

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Medical Review 2022年第6期2卷 553-554页

作者： yitong Cai Anli Zhang Changzheng lu Institute of Cancer Research Shenzhen Bay LaboratoryShenzhen 518132Guangdong ProvinceChina Lyda Hill Department of Bioinformatics UT Southwestern Medical CenterDallasTXUSA

Immune checkpoint blockade has represented a break-through for the treatment of human cancers,but only a minority of patients obtain clinical benefits from this therapy.A critical issue is how to shape the“cold”tumor,characterized by desert or suppressive immunity,into a“hot”phenotype[1].The cyclic GMP-AMP synthase-stimulator of interferon genes(cGAS-STING)pathway is a fundamental regulator of innate immune sensing,with potential to enhance tumor rejection by activating type I interferon(IFN)-dependent responses in multiple cell types,including dendritic cell,monocyte and even tumor cell[2],illustrated in many preclinical murine tumor models treated with stimulator of interferon genes(STING)-activating therapies.

关键词： interferon stimulator immunity

设计管理课程教学改革研究——以工业设计专业为例

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工业设计 2024年第4期 101-104页

作者：卢亦彤石文可张雅晶安徽科技学院机械工程学院凤阳233100

随着现代商业的发展,工业设计专业的培养目标日益向实践型、创新型转变。在这一背景下,设计管理课程教学的研究与改革亟待探索,以适应行业的需求和学生的发展要求。文章通过分析工业设计专业的现状,探讨了设计管理课程教学的重要性和意... 详细信息

随着现代商业的发展,工业设计专业的培养目标日益向实践型、创新型转变。在这一背景下,设计管理课程教学的研究与改革亟待探索,以适应行业的需求和学生的发展要求。文章通过分析工业设计专业的现状,探讨了设计管理课程教学的重要性和意义。在此基础上,提出了一系列针对设计管理课程教学的改革措施,旨在提高学生的综合能力,培养其成为适应市场需求的设计管理人才。

关键词：工业设计设计管理教学改革

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Heavy Metal Remediation in Sludge Compost: Recent Progress

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Journal of Renewable Materials 2022年第2期10卷 469-486页

作者： Rongwei Xiong Xiufang Gao Xinyue Tu Yilin Mao Li Jiang lu Zheng yitong Du Yangtze University Wuhan430100China Engineering Research Center of Ecology and Agricultural Use of Wetland Ministry of EducationJingzhou434025China School of Environmental Science&Engineering Hubei Polytechnic UniversityHuangshi435003China

The safe and efficient disposal and utilization of sludge are major issues to be solved in solid waste treatment and environmental protection due to the complex characteristics of sludge and the low rate of innocuous treatments.Composting is a process of decomposing organic matter and transformed low-molecular organic acids into high-molecular humus substances under the action of microorganisms.Although land-use after composting has become an important direction for sludge treatment,heavy metal pollution is still the bottleneck problem restrict-ing land use of sludge compost.Adding zeolite,hydroxyapatite,and other conditioning agents to the composting process affects the concentration or form of some heavy metals and effectively reduces the environmental risk.Lime and phosphorus modifiers change heavy metal speciation in samples,playing a role in decreasing biological availability and mobility.In this study,the effects of sludge composting treatment and conditioning agents on the concentrations and forms of heavy metals are reviewed.This review will provide a theoretical basis to treat heavy metals in sludge composting and lay the foundation for the land utilization and waste recycling of sludge.

关键词： Sludge compost heavy metal conditioning agents remediation

TriCTI:an actionable cyber threat intelligence discovery system via trigger-enhanced neural network

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Cybersecurity 2022年第3期5卷 18-33页

作者： Jian lu Junjie Yan Jun Jiang yitong He Xuren Wang Zhengwei jiang Peian Yang Ning Li Institute of Information Engineering Chinese Academy of SciencesBeijing 100093China School of Cyber Security University of Chinese Academy of SciencesBejing 100029China College of Information Engineering Capital Normal UniversityBeijing 100048China

The cybersecurity report provides unstructured actionable cyber threat intelligence(CTI)with detailed threat attack procedures and indicators of compromise(IOCs),e.g.,malware hash or URL(uniform resource locator)of command and control server.The actionable CTI,integrated into intrusion detection systems,can not only prioritize the most urgent threats based on the campaign stages of attack vectors(i.e.,IOCs)but also take appropriate mitigation measures based on contextual information of the alerts.However,the dramatic growth in the number of cybersecurity reports makes it nearly impossible for security professionals to find an efficient way to use these massive amounts of threat intelligence.In this paper,we propose a trigger-enhanced actionable CTI discovery system(TriCTI)to portray a relationship between IOCs and campaign stages and generate actionable CTI from cybersecurity reports through natural language processing(NLP)technology.Specifically,we introduce the“campaign trigger”for an effective explanation of the campaign stages to improve the performance of the classification model.The campaign trigger phrases are the keywords in the sentence that imply the campaign stage.The trained final trigger vectors have similar space representations with the keywords in the unseen sentence and will help correct classification by increasing the weight of the keywords.We also meticulously devise a data augmentation specifically for cybersecurity training sets to cope with the challenge of the scarcity of annotation data sets.Compared with state-of-the-art text classification models,such as BERT,the trigger-enhanced classification model has better performance with accuracy(86.99%)and F1 score(87.02%).We run TriCTI on more than 29k cybersecurity reports,from which we automatically and efficiently collect 113,543 actionable CTI.In particular,we verify the actionability of discovered CTI by using large-scale field data from VirusTotal(VT).The results demonstrate that the threat intelligence provided by VT lacks a part of the

关键词： Actionable cyber threat intelligence Campaign trigger Indicators of compromise(IOCs) Natural language processing(NLP)

Sequentially responsive size reduction and drug release of core-satellite nanoparticles to enhance tumor penetration and effective tumor suppression

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Chinese Chemical Letters 2023年第5期34卷 489-493页

作者： Jiayi Sun Jingyang Li Xi Li lu Yang yitong Liu Huile Gao Li Xiang State Key Laboratory of Southwestern Chinese Medicine Resources Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengdu 611137China Public Health Clinical Center of Chengdu Chengdu 610061China The Third Affiliated Hospital of Chengdu University of TCM/Chengdu Pidu District Hospital of Traditional Chinese Medicine Chengdu 611730China West China School of Pharmacy Sichuan UniversityChengdu 610041China

Poor tumor accumulation remains a serious challenge for nanomedicines to achieve ideal antitumor outcomes.The different size preferences for systematic circulation,tumor retention and deep permeation have attracted great attention when designing antineoplastic nano-delivery system.Herein,we developed a nano-system which can shrink its size in tumor microenvironment to achieve better tumor retention and penetration.In this work,the cationic bovine serum albumin-protected,doxorubicin-loaded gold nanoclusters(CAuNC-DOX)and amino-functionalized mesoporous silica nanoparticles(MSN)are connected by Fe^(2+)and are further coated with hyaluronic acid(HA)to obtain a core-satellite MSN-Fe-CAuNCDOX@HA nano system(MFADH).When reaching the tumor site,the HA shell,which endows the system with both good biocompatibility and preferable tumor targeting ability,was disintegrated,followed by acid-stimulated release of small-sized pharmacological unit—CAuNC-DOX for further tumor penetration.As demonstrated in both in vitro and in vivo results,MFADH showed excellent antitumor effect,providing a proof of concept for the feasibility of shrinkable nanoplatforms in tumor treatment.

关键词： Size reducible Tumor penetration Core-satellite structure Mesoporous silica nanoparticles Gold nanoclusters Experimental techniques