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CRM Boost-PFC电路的改进COT控制

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电器与能效管理技术 2024年第5期 10-19页

作者：肖健林见文张家恺潘广彬国网福建省电力有限公司龙岩供电公司福建龙岩364000 国网新疆电力有限公司阿勒泰供电公司新疆阿勒泰836300 国网四川省电力公司达州供电公司四川达州635000

针对临界导通模式(CRM)Boost-PFC电路开关管开通电压大导致开通损耗高、开通时d u/d t大导致电磁干扰(EMI)的问题,提出一种改进的软开关恒定导通时间(COT)控制方法。电路的开关管自适应地在低输入电压瞬时值时实现零电压开通(ZVS),在高... 详细信息

针对临界导通模式(CRM)Boost-PFC电路开关管开通电压大导致开通损耗高、开通时d u/d t大导致电磁干扰(EMI)的问题,提出一种改进的软开关恒定导通时间(COT)控制方法。电路的开关管自适应地在低输入电压瞬时值时实现零电压开通(ZVS),在高输入电压瞬时值时实现谷底导通,降低开关管的导通电压,减小了导通损耗;降低导通时开关管的d u/d t,改善了电路的EMI性能。分析CRM Boost-PFC电路及所提控制方法的原理和工作过程,并探讨所提控制方法对电路EMI特性的影响,开展关键参数设计。最后,通过仿真和实验给出了样机的输入输出特性曲线、效率曲线和EMI特性曲线,验证所提控制方法的有效性。

关键词： Boost-PFC电路改进COT控制开关损耗 EMI 自适应

基于网络药理学和分子对接探讨清热散结胶囊治疗慢性前列腺炎的潜在机制

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中医临床研究 2024年第5期16卷 33-41页

作者：张家楷刘宏岳张苏阳唐志广金珊天津中医药大学天津301600 天津中医药大学第一附属医院天津300380

目的:基于网络药理学及分子对接技术探讨清热散结胶囊治疗慢性前列腺炎的潜在机制。方法:查阅文献及数据库筛选清热散结胶囊的活性成分,利用Swiss Target Prediction获取有效成分的相应蛋白靶标,并利用Uni Prot数据库确定基因靶点标准... 详细信息

目的:基于网络药理学及分子对接技术探讨清热散结胶囊治疗慢性前列腺炎的潜在机制。方法:查阅文献及数据库筛选清热散结胶囊的活性成分,利用Swiss Target Prediction获取有效成分的相应蛋白靶标,并利用Uni Prot数据库确定基因靶点标准化名称,通过Cyto Scape 3.7.2软件构建“中药-有效成分-靶点”作用网络。借助Gene Cards、Drug Bank和Pharm GKB数据库筛选慢性前列腺炎的疾病靶点,与药物有效成分靶点取交集后得到清热散结胶囊与慢性前列腺炎的共同靶点,利用STRING数据库构建清热散结胶囊治疗慢性前列腺炎的蛋白质-蛋白质相互作用并利用Cytoscape过滤查找蛋白质-蛋白质相互作用网络核心。通过Metascape数据库对共同靶点进行基因本体论(GO)功能富集分析和京都基因与基因组百科全书(KEGG)通路富集分析,利用Py MOL及Vina软件进行分子对接验证,最后根据预测结果绘制清热散结胶囊治疗慢性前列腺炎的作用机制图。结果:筛选得到清热散结胶囊有效成分12个,去重对应靶点237个,慢性前列腺炎疾病靶点4770个,共同靶点基因154个,蛋白质-蛋白质相互作用网络分析表明清热散结胶囊治疗慢性前列腺炎的关键靶点基因包括丝裂原活化蛋白激酶1(Mitogen-Activated Protein Kinase 1,MAPK1)、Janus激酶1(Janus Kinase 1,JAK1)、FYN癌基因相关SRC,FGR,YES(Oncogene Related to SRC,FGR,YES,FYN)、磷脂酰肌醇-3激酶调节亚基1(phosphoinositide-3-kinase regulatory subunit 1,PIK3R1)、肉瘤基因(Sarcoma,SRC)、MAPK14、PTK2蛋白酪氨酸激酶2(PTK2 Protein Tyrosine Kinase 2,PTK2)、JAK2、丝氨酸/苏氨酸蛋白激酶1(Akt Serine/Threonine Kinase1,AKT1)、信号转导因子和转录激活因子3(Signal Transducer and Activator of Transcription 3,STAT3)、磷脂酰肌醇-4,5-二磷酸3-激酶催化亚基α(Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunit Alpha,PIK3CA)等。GO分析和KEGG分析表明核心靶点参与影响细胞代谢、炎症、免疫和氧化应激等多种生物过程,作用于癌症、细胞凋亡、肿瘤坏死因子(Tumor Necrosis Factor,TNF)、磷脂酰肌醇3激酶(Phosphatidylinositol 3-kinase,PI3K)-蛋白激酶B(Akt)、缺氧诱导因子-1(Hypoxia Inducible Factor-1,HIF-1)、叉头框O(Forkhead Box,Fox O)等多种信号通路。分子对接显示核心化合物与靶点具有良好的结合活性。结论:本研究初步揭示了清热散结胶囊治疗慢性前列腺炎的潜在机制,为临床用药及后续研究提供理论依据。

关键词：清热散结胶囊网络药理学分子对接慢性前列腺炎

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基于复合修形技术的低雷达散射截面微带天线

电子技术应用 2024年第9期50卷 36-41页

作者：张甲楷郑昱陈剑徐伟宗耀西安交通大学电信学院陕西西安710049 西安电子工程研究所陕西西安710199

设计了一款基于复合修形技术的低雷达散射截面(Radar Cross Section,RCS)微带天线。通过在辐射贴片和金属底板同时采用修形技术,减少天线金属部分的面积,实现天线RCS减缩并且维持天线辐射特性。基于复合修形技术的微带天线相比传统未修... 详细信息

设计了一款基于复合修形技术的低雷达散射截面(Radar Cross Section,RCS)微带天线。通过在辐射贴片和金属底板同时采用修形技术,减少天线金属部分的面积,实现天线RCS减缩并且维持天线辐射特性。基于复合修形技术的微带天线相比传统未修形的微带天线在1~4 GHz频带内实现天线RCS减缩,最大RCS减缩量为20 dB。对设计的低RCS天线进行加工并测试,测试结果验证了仿真分析的正确性。

关键词：雷达散射截面修形微带天线辐射特性

Enhancing Relational Triple Extraction in Specific Domains:Semantic Enhancement and Synergy of Large Language Models and Small Pre-Trained Language Models

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Computers, Materials & Continua 2024年第5期79卷 2481-2503页

作者： jiakai Li Jianpeng Hu Geng zhang School of Electronic and Electrical Engineering Shanghai University of Engineering ScienceShanghai201620China

In the process of constructing domain-specific knowledge graphs,the task of relational triple extraction plays a critical role in transforming unstructured text into structured *** relational triple extraction models facemultiple challenges when processing domain-specific data,including insufficient utilization of semantic interaction information between entities and relations,difficulties in handling challenging samples,and the scarcity of domain-specific *** address these issues,our study introduces three innovative components:Relation semantic enhancement,data augmentation,and a voting strategy,all designed to significantly improve the model’s performance in tackling domain-specific relational triple extraction *** first propose an innovative attention interaction *** method significantly enhances the semantic interaction capabilities between entities and relations by integrating semantic information fromrelation ***,we propose a voting strategy that effectively combines the strengths of large languagemodels(LLMs)and fine-tuned small pre-trained language models(SLMs)to reevaluate challenging samples,thereby improving the model’s adaptability in specific ***,we explore the use of LLMs for data augmentation,aiming to generate domain-specific datasets to alleviate the scarcity of domain *** conducted on three domain-specific datasets demonstrate that our model outperforms existing comparative models in several aspects,with F1 scores exceeding the State of the Art models by 2%,1.6%,and 0.6%,respectively,validating the effectiveness and generalizability of our approach.

关键词： Relational triple extraction semantic interaction large language models data augmentation specific domains

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八正散加减治疗尿路感染的Meta分析

中国民族民间医药 2024年第17期33卷 93-99页

作者：何志伟金珊张家楷金鼎雄缪长宏天津中医药大学第一附属医院/国家中医针灸临床医学研究中心天津300381 天津中医药大学天津301617

目的:系统评价中药复方八正散治疗尿路感染的临床疗效。方法:通过检索中国知网、万方、维普、Pubmed、Cochrane Library、EMbase外文数据库2000年1月至今发表的关于中药复方八正散联合抗生素治疗尿路感染的临床随机对照试验文献,文献质... 详细信息

目的:系统评价中药复方八正散治疗尿路感染的临床疗效。方法:通过检索中国知网、万方、维普、Pubmed、Cochrane Library、EMbase外文数据库2000年1月至今发表的关于中药复方八正散联合抗生素治疗尿路感染的临床随机对照试验文献,文献质量评价分别采用Cochrane和Jadad评分方法,并应用Review Manager 5.4软件进行数据分析。结果:共纳入14篇研究,对1377例患者数据进行Meta分析,结果显示与单用抗生素相比,中药复方八正散联合抗生素治疗尿路感染能提高临床总有效率[OR=4.55,95%CI(2.99,6.94),P<0.00001]、细菌清除率[OR=2.21,95%CI(1.06,4.62),P=0.04],同时有效降低不良反应发生率[OR=0.36,95%CI(0.16,0.79),P=0.01],治疗组在降低尿白细胞数量[SMD=-2.76(-3.19,-2.33),P<0.00001]方面优于对照组;在降低临床症状评分,包括尿频症状评分[MD=-0.73 (-1.01,-0.46),P<0.00001]、尿痛症状评分[MD=-0.67(-1.02,-0.32),P=0.0002]、小腹拘急症状评分[MD=-0.89(-0.95,-0.83),P<0.000 01]方面均优于对照组。结论:当前证据显示,运用中药复方八正散联合抗生素治疗尿路感染具有良好的临床疗效,尤其能够缓解临床尿频、尿痛、小腹拘急症状,提高患者生活质量。此结论仍需更大样本、更高质量临床试验去进一步验证。

关键词：八正散中医尿路感染 Meta分析

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Crowdsourced federated learning architecture with personalized privacy preservation

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Intelligent and Converged Networks 2024年第3期5卷 192-206页

作者： Yunfan Xu Xuesong Qiu Fan zhang jiakai Hao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China State Grid Beijing Electric Power Company Beijing 100031China

In crowdsourced federated learning,differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy ***,improper privacy budget settings and perturbation methods will severely impact model *** order to achieve a harmonious equilibrium between privacy preservation and model performance,we propose a novel architecture for crowdsourced federated learning with personalized privacy *** our architecture,to avoid the issue of poor model performance due to excessive privacy preservation requirements,we establish a two-stage dynamic game between the task requestor and clients to formulate the optimal privacy preservation strategy,allowing each client to independently control privacy preservation ***,we design a differential privacy perturbation mechanism based on weight *** divides the weights based on their relevance with local data,applying different levels of perturbation to different types of ***,we conduct experiments on the proposed perturbation mechanism,and the experimental results indicate that our approach can achieve better global model performance with the same privacy budget.

关键词： crowdsourced federated learning differential privacy privacy preservation two-stage game

Superwetting Ag/α-Fe_(2)O_(3) anchored mesh with enhanced photocatalytic and antibacterial activities for efficient water purification

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Green Energy & Environment 2024年第1期9卷 89-103页

作者： jiakai Li Changpeng Lv Jiajia Song Xiaoling zhang Xizhen Huang Yingzhuo Ma Haijie Cao Na Liu Department of Chemistry Tsinghua UniversityBeijing100084China Anhui Provincial Engineering Laboratory of Silicon-based Materials Engineering Technology Research Center of Silicon-based Materials(Anhui)School of Material and Chemical EngineeringBengbu UniversityBengbu233030China Institute of Materials for Energy and Environment College of Materials Science and EngineeringQingdao UniversityQingdao266071China

Superwetting materials have drawn unprecedented attention in the treatment of oily wastewater due to their preferable anti-fouling property and selective oil/water ***,it is still a challenge to fabricate multifunctional and environmentally friendly materials,which can be stably applied to purify the actual complicated ***,a Ag/Ag/α-Fe_(2)O_(3) heterostructure anchored copper mesh was intentionally synthesized using a facile two-step hydrothermal *** resultant mesh with superhydrophilicity and underwater superoleophobicity was capable of separating various oil/water mixtures with superior separation efﬁciency and high permeationﬂux driven by ***ﬁting from the joint effects of the smaller band gap of Ag/α-Fe_(2)O_(3) heterojunction,inherent antibacterial capacity of Ag/α-Fe_(2)O_(3) and Ag nanoparticles,favorable conductive substrate,as well as the hierarchical structure with superwettability,such mesh presented remarkably enhanced degradation capability toward organic dyes under visible light irradiation and antibacterial activity against both Escherichia coli(***)and Staphylococcus aureus(***)compared with the pure Ag/α-Fe_(2)O_(3) coated ***,the mesh exhibited bifunctional water puriﬁcation performance,in which organic dyes were eliminated simultaneously from water during oil/water separation in oneﬁltration *** importantly,this mesh behaved exceptional chemical resistance,mechanical stability and long-term ***,this material with multifunctional integration may hold promising potential for steady water puriﬁcation in practice.

关键词： Superwetting Ag/α-Fe_(2)O_(3)heterostructure Enhanced photocatalytic and antibacterial activities Water purification Long-term reusability

Long Short-Term Memory Spiking Neural Networks for Classification of Snoring and Non-snoring Sound Events

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Chinese Journal of Electronics 2024年第3期33卷 793-802页

作者： Rulin zhang Ruixue LI jiakai LIANG Keqiang YUE Wenjun LI Yilin LI Electronics and Information College Hangzhou Dianzi University

Snoring is a widespread occurrence that impacts human sleep *** is also one of the earliest symptoms of many sleep *** is accurately detected,making further screening and diagnosis of sleep problems *** is frequently ignored because of its underrated and costly detection *** a result,this research offered an alternative method for snoring detection based on a long short-term memory based spiking neural network(LSTM-SNN) that is appropriate for large-scale home detection for *** designed acquisition equipment to collect the sleep recordings of 54 subjects and constructed the sleep sound database in the home *** Mel frequency cepstral coefficients(MFCCs) were extracted from these sound signals and encoded into spike trains by a threshold encoding *** were classified automatically as non-snoring or snoring sounds by our LSTM-SNN *** used the backpropagation algorithm based on an alternative gradient in the LSTM-SNN to complete the parameter *** categorization percentage reached an impressive 93.4%,accompanied by a remarkable 36.9% reduction in computer power compared to the regular LSTM model.

关键词： Costs Databases Computational modeling Backpropagation algorithms Sleep apnea Encoding Recording

RGD-FasL Induces Apoptosis in Hepatocellular Carcinoma

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Cellular & Molecular Immunology 2009年第4期6卷 285-293页

作者： Zhongchen Liu Juan Wang Ping Yin Jinhua Qiu Ruizhen Liu Wenzhu Li Xin Fan Xiaofeng Cheng Caixia Chen jiakai zhang Guohong Zhuang Anti-Cancer Research Center Medical College Xiamen University 422Siming South Road Xiamen 361005 China School of Life Science Xiamen University 422 Siming South RoadXiamen 361005 China Zhongshan Hospital Xiamen University Lakeside South 201-209 Xiamen361004 China These authors contributed equally to this work Anti-Cancer Research Center Medical College Xiamen University 422 Siming South Road Xiamen 361005 China

Despite impressive results obtained in animal models, the clinical use of Fas ligand （FasL） as an anticancer drug is limited by severe toxicity. Systemic toxicity of death ligands may be prevented by using genes encoding membrane-bound death ligands and by targeted transgene expression through either targeted transduction or targeted transcription. Selective induction of tumor cell death is a promising anticancer strategy. A fusion protein is created by fusing the extracellular domain of Fas ligand （FasL） to the peptide arginine-glycine-aspartic acid （RGD） that selectively targets avβ-integrins on tumor endothelial cells. The purpose of this study is to evaluate the effects of RGD-FasL on tumor growth and survival in a murine hepatocellular carcinoma （HCC） tumor model. Treatment with RGD-FasL displaying an obvious suppressive effect on the HCC tumor model as compared to that with FasL （p 〈 0.05） and resulted in a more additive effect on tumor growth delay in this model. RGD-FasL treatment significantly enhanced mouse survival and caused no toxic effect, such as weight loss, organ failure, or other treatment-related toxicities. Apoptosis was detected by flow cytometric analysis and TUNEL assays; those results also showed that RGD-FasL is a more potent inducer of cell apoptosis for H22 and H9101 cell lines than FasL （p 〈 0.05）. In conclusion, RGD-FasL appears to be a low-toxicity selective inducer of tumor cell death, which merits further investigation in preclinical and clinical studies. Furthermore, this approach offers a versatile technology for complexing target ligands with therapeutic recombinant proteins. To distinguish the anti-tumor effects of FasL in vivo, tumor and liver tissues were harvested to examine for evidence of necrotic cells, tumor cells, or apoptotic cells by Hematoxylin and eosin （H＆E） staining.

关键词： FasL RGD-FasL apoptosis tumor targeting