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Josephin domain containing 2(JOSD2)promotes lung cancer by inhibiting LKB1(Liver kinase B1)activity

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Signal Transduction and Targeted Therapy 2024年第2期9卷 693-708页

作者： Tao Yuan Chenming Zeng Jiawei Liu Chenxi Zhao Fujing Ge Yuekang Li Meijia Qian Jiamin Du Weihua Wang yonghao Li Yue Liu Xiaoyang Dai Jianya zhou Xueqin Chen Shenglin Ma Hong Zhu Qiaojun He Bo Yang Institute of Pharmacology&Toxicology Zhejiang Province Key Laboratory of Anti-Cancer Drug ResearchCollege of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Innovation Institute for Artificial Intelligence in Medicine Zhejiang UniversityHangzhou 311199China Ministry of Education Key Laboratory of Chinese Medicinal Plants Resource from Lingnan Research Center of Medicinal Plants Resource Science and EngineeringGuangzhou University of Chinese MedicineGuangzhou 510006China Center for Drug Safety Evaluation and Research of Zhejiang University Hangzhou 310058China Department of Respiratory Disease Thoracic Disease CenterThe First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhou 310006China Department of Oncology Hangzhou Cancer HospitalHangzhou 310002China Cancer Center of Zhejiang University HangzhouChina Engineering Research Center of Innovative Anticancer Drugs Ministry of EducationHangzhouChina

Non-small cell lung cancer(NSCLC)ranks as one of the leading causes of cancer-related deaths worldwide.Despite the prominence and effectiveness of kinase-target therapies in NSCLC treatment,these drugs are suitable for and beneficial to a mere~30%of NSCLC patients.Consequently,the need for novel strategies addressing NSCLC remains pressing.Deubiquitinases(DUBs),a group of diverse enzymes with well-defined catalytic sites that are frequently overactivated in cancers and associated with tumorigenesis and regarded as promising therapeutic targets.Nevertheless,the mechanisms by which DUBs promote NSCLC remain poorly understood.Through a global analysis of the 97 DUBs’contribution to NSCLC survival possibilities using The Cancer Genome Atlas(TCGA)database,we found that high expression of Josephin Domain-containing protein 2(JOSD2)predicted the poor prognosis of patients.Depletion of JOSD2 significantly impeded NSCLC growth in both cell/patient-derived xenografts in vivo.Mechanically,we found that JOSD2 restricts the kinase activity of LKB1,an important tumor suppressor generally inactivated in NSCLC,by removing K6-linked polyubiquitination,an action vital for maintaining the integrity of the LKB1-STRAD-MO25 complex.Notably,we identified the first small-molecule inhibitor of JOSD2,and observed that its pharmacological inhibition significantly arrested NSCLC proliferation in vitro/in vivo.Our findings highlight the vital role of JOSD2 in hindering LKB1 activity,underscoring the therapeutic potential of targeting JOSD2 in NSCLC,especially in those with inactivated LKB1,and presenting its inhibitors as a promising strategy for NSCLC treatment.

关键词： LKB1 inhibiting removing

波长调制型PMMA光波导SPR传感器敏感单元设计

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半导体光电 2024年第3期45卷 406-409页

作者：于永浩周声超张美玲张荣孔梅长春理工大学物理学院长春130022

光波导表面等离激元共振(SPR)传感器具有尺寸小、免标记、易集成等优点。文章设计了一种基于波长调制方法的聚甲基丙烯酸甲酯(PMMA)脊型波导SPR传感器,并对其关键参数进行了优化。结果表明,该敏感单元在待测液折射率为1.33~1.45的范围... 详细信息

光波导表面等离激元共振(SPR)传感器具有尺寸小、免标记、易集成等优点。文章设计了一种基于波长调制方法的聚甲基丙烯酸甲酯(PMMA)脊型波导SPR传感器,并对其关键参数进行了优化。结果表明,该敏感单元在待测液折射率为1.33~1.45的范围内能够稳定工作,在高折射率检测区,传感器展现出了高达10220nm/RIU的灵敏度和173RIU^(-1)的高品质因数。

关键词：表面等离激元共振折射率传感聚甲基丙烯酸甲酯光波导传感器

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尼龙切片干燥塔的设计与优化

河南化工 2024年第2期41卷 41-43页

作者：周鹏飞代永豪李森河南神马尼龙化工有限责任公司河南平顶山467013

对尼龙切片干燥装置的现状进行分析,设计与优化了一种尼龙切片干燥塔,包括塔体、支撑柱、圆盘形第一及第二隔板、预备仓、主烘干仓、出料仓、进料组件、翻转机构等。将尼龙切片进行翻转、转运,并使尼龙切片在干燥塔中与烘干气流直接接... 详细信息

对尼龙切片干燥装置的现状进行分析,设计与优化了一种尼龙切片干燥塔,包括塔体、支撑柱、圆盘形第一及第二隔板、预备仓、主烘干仓、出料仓、进料组件、翻转机构等。将尼龙切片进行翻转、转运,并使尼龙切片在干燥塔中与烘干气流直接接触的方式,提高尼龙切片的烘干效率,减少了烘干风量和温度,降低了切片含水量。

关键词：尼龙切片干燥含水量设计与优化

Unconventional dislocation starvation behavior of medium-entropy alloy single crystal pillars containing pre-existing dislocations

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Journal of Materials Science & Technology 2023年第11期142卷 60-75页

作者： Luling Wang Bin Liu Jianqiu zhou Yang Cao Feng Zhang yonghao Zhao Department of Mechanical and Power Engineering Nanjing Tech UniversityNanjing 210009China Nano and Heterogeneous Materials Center School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China School of Mechanical Engineering Nanjing Institute of TechnologyNanjing 211167China

The excellent dislocation storage ability of bulk multi-principal element alloys(MPEAs)has been widely reported.To date,however,the underlying mechanisms of dislocation escape behavior in small-size facecentered cubic(FCC)MPEAs have rarely been studied.Here,we quantitatively control the initial dislocation densities(-10^(15) m^(-2) and -10^(16) m^(-2))by large-scale molecular dynamics(MD)simulations and perform uniaxial compression simulations to compare the dislocation starvation behavior of CrCoNi with pure Cu single crystal pillars(SCPs).The analysis reveals that the CrCoNi SCPs with low initial dislocation density(-10^(15) m^(-2))can continuously accommodate mobile dislocations,and the critical dimension for dislocation starvation is about 30 nm.In particular,the CrCoNi SCPs with chemical short-range ordering(SRO)exhibit better dislocation storage and multiplication abilities than the random solid solution(RSS)samples even when the initial dislocation density is low.However,the presence of a large number of pre-existing dislocation locks governs the strong dislocation multiplication ability of the small-size RSS CrCoNi SCPs,in obvious contrast to the deformation of all pure Cu SCPs which is completely dominated by intermittent mobile dislocation starvation.Most importantly,we reveal the fundamental physics for the good dislocation storage of CrCoNi SCPs at small sizes from the perspective of chemical heterogeneity.The new phenomena reported in this work provide a unique atomic-scale perspective for understanding the microscopic physical origin of the mechanical behavior of MPEAs and the discovery of extremely slow dislocation escape behavior in small-scaled pillars,providing a reliable basis for the development of the dislocation starvation model.

关键词： Molecular dynamics Medium entropy alloy Single crystal pillar Dislocation starvation Chemical short-range order Size effect

AgInS_(2)量子点调控及其在WLED应用上的研究进展

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功能材料 2024年第2期55卷 2041-2051,2104页

作者：刘汉语谢志翔陈婷董延茂周兴袁妍吴海涛陈勇号苏州科技大学化学与生命科学学院江苏苏州215009 苏州科技大学材料科学与工程学院江苏苏州215009 国家日用与建筑陶瓷工程研究中心江西景德镇333001 苏州科技大学环境科学与工程学院江苏苏州215009

AgInS_(2)量子点是一种有趣的材料,其近红外带隙范围从1.87到1.98 eV,作为直接带隙半导体,它能通过调节Ag/In比例来调节带隙,它还具有较宽的PL峰和较大的Stokes位移,同时低毒环保的特性也使它成为有望替代含Cd、Hg和Pb等重金属元素的二... 详细信息

AgInS_(2)量子点是一种有趣的材料,其近红外带隙范围从1.87到1.98 eV,作为直接带隙半导体,它能通过调节Ag/In比例来调节带隙,它还具有较宽的PL峰和较大的Stokes位移,同时低毒环保的特性也使它成为有望替代含Cd、Hg和Pb等重金属元素的二元量子点的理想材料,在光电器件领域尤其在发光二极管中有着广泛的应用前景。本文详细阐述了AgInS_(2)量子点晶体结构和发光机制,总结了其合成方法的特点并综述了通过壳体工程和掺杂的方法对AgInS_(2)量子点进行调控的策略,最后介绍了该类量子点在发光二极管方面的应用进展。

关键词： AgInS_(2) 量子点合成优化 WLED

Ensuring User Privacy and Model Security via Machine Unlearning: A Review

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Computers, Materials & Continua 2023年第11期77卷 2645-2656页

作者： yonghao Tang Zhiping Cai Qiang Liu Tongqing zhou Qiang Ni College of Computer National University of Defense TechnologyChangsha410073China School of Computing and Communications Lancaster UniversityEnglandB23UK

As an emerging discipline,machine learning has been widely used in artificial intelligence,education,meteorology and other fields.In the training of machine learning models,trainers need to use a large amount of practical data,which inevitably involves user privacy.Besides,by polluting the training data,a malicious adversary can poison the model,thus compromising model security.The data provider hopes that the model trainer can prove to them the confidentiality of the model.Trainer will be required to withdraw data when the trust collapses.In the meantime,trainers hope to forget the injected data to regain security when finding crafted poisoned data after the model training.Therefore,we focus on forgetting systems,the process of which we call machine unlearning,capable of forgetting specific data entirely and efficiently.In this paper,we present the first comprehensive survey of this realm.We summarize and categorize existing machine unlearning methods based on their characteristics and analyze the relation between machine unlearning and relevant fields(e.g.,inference attacks and data poisoning attacks).Finally,we briefly conclude the existing research directions.

关键词： Machine learning machine unlearning privacy protection trusted data deletion

Vertical Federated Learning Based on Consortium Blockchain for Data Sharing in Mobile Edge Computing

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 345-361页

作者： yonghao Zhang Yongtang Wu Tao Li Hui zhou Yuling Chen State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China Blockchain Laboratory of Agricultural Vegetables Weifang University of Science and TechnologyWeifang262700China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic TechnologyGuilin541004China

The data in Mobile Edge Computing(MEC)contains tremendousmarket value,and data sharing canmaximize the usefulness of the data.However,certain data is quite sensitive,and sharing it directly may violate privacy.Vertical Federated Learning(VFL)is a secure distributed machine learning framework that completes joint model training by passing encryptedmodel parameters rather than raw data,so there is no data privacy leakage during the training process.Therefore,the VFL can build a bridge between data demander and owner to realize data sharing while protecting data privacy.Typically,the VFL requires a third party for key distribution and decryption of training results.In this article,we employ the consortium blockchain instead of the traditional third party and design a VFL architecture based on the consortium blockchain for data sharing in MEC.More specifically,we propose a V-Raft consensus algorithm based on Verifiable Random Functions(VRFs),which is a variant of the Raft.The VRaft is able to elect leader quickly and stably to assist data demander and owner to complete data sharing by VFL.Moreover,we apply secret sharing todistribute the private key to avoid the situationwhere the training result cannot be decrypted if the leader crashes.Finally,we analyzed the performance of the V-Raft and carried out simulation experiments,and the results show that compared with Raft,the V-Raft has higher efficiency and better scalability.

关键词： Mobile edge computing vertical federated learning consortium blockchain consensus algorithm

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4种植物精油对瓜实蝇毒杀及驱避作用

植物保护 2024年第1期50卷 177-182,194页

作者：涂华龙高旭渊于永浩曾宪儒陈红松周忠实植物病虫害综合治理全国重点实验室中国农业科学院植物保护研究所北京100193 中国农业科学院南繁研究院三亚572019 广西作物病虫害生物学重点实验室广西农业科学院植物保护研究所南宁530007

瓜实蝇Bactrocera cucurbitae(Copullett)是我国瓜类蔬菜的重要入侵害虫,为筛选出对瓜实蝇具有毒杀及驱避作用的植物精油,室内测定了4种植物精油在不同浓度下对瓜实蝇的毒杀及产卵驱避效果,并进行了田间验证。结果表明:4种植物精油对瓜... 详细信息

瓜实蝇Bactrocera cucurbitae(Copullett)是我国瓜类蔬菜的重要入侵害虫,为筛选出对瓜实蝇具有毒杀及驱避作用的植物精油,室内测定了4种植物精油在不同浓度下对瓜实蝇的毒杀及产卵驱避效果,并进行了田间验证。结果表明:4种植物精油对瓜实蝇成虫的毒杀效果随精油浓度升高而升高,浓度为7 mg/mL和10 mg/mL的肉桂精油对瓜实蝇的毒杀效果极显著高于其他精油,处理后24 h瓜实蝇校正死亡率分别为75.9%和100%;雌虫对冬青精油的嗅觉反应率为93.3%,显著高于紫苏精油和山苍子精油。不同植物精油对雌虫产卵的驱避效果不同,当植物精油浓度为10 mg/mL时,冬青精油对雌虫的产卵驱避率为69.04%,显著高于其他精油。田间试验结果显示:不同植物精油对瓜实蝇成虫具有一定防控效果,但处理间差异不显著,可能是由于田间环境复杂、植物精油理化性质存在差异等因素导致。

关键词：植物精油瓜实蝇毒杀产卵驱避

基于OBC地震资料的叠后叠前多尺度裂缝预测技术在涠西南潜山储层中的应用

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物探化探计算技术 2024年第2期46卷 154-163页

作者：鲁统祥李明盖永浩周凡廖键中海石油(中国)有限公司湛江分公司湛江524057

涠西南潜山储层具有较大资源潜力,但常规基于单一叠后地震属性的裂缝预测精度尚无法满足精细目标评价需求。笔者基于OBC地震资料宽方位数据优势,在叠后属性大尺度裂缝预测中利用相干、曲率和似然等多属性进行融合以提高裂缝预测可靠性,... 详细信息

涠西南潜山储层具有较大资源潜力,但常规基于单一叠后地震属性的裂缝预测精度尚无法满足精细目标评价需求。笔者基于OBC地震资料宽方位数据优势,在叠后属性大尺度裂缝预测中利用相干、曲率和似然等多属性进行融合以提高裂缝预测可靠性,并进一步提出基于多方位预测融合法和法向照明数据优选预测法,分别通过多方位划分和法向照明实现数据基础改善,从而提高裂缝预测精度;在叠前裂缝预测中,开展道集优化处理并基于AVAZ计算各向异性强度等表征中尺度裂缝密度与方向;最后利用成像测井获得小尺度裂缝发育认识,并最终形成了基于OBC地震资料的叠后叠前多尺度裂缝预测技术,取得了较好的应用成效。

关键词： OBC 裂缝预测属性融合法向照明 AVAZ 测井成像

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