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Locally differentially private high-dimensional data synthesis

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Science China(Information Sciences) 2023年第1期66卷 25-42页

作者： Xue CHEN Cheng WANG Qing YANG Teng HU Changjun JIANG Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education National (Province-Ministry Joint) Collaborative innovation Center for Financial network Security Tongji University

In local differential privacy(LDP), a challenging problem is the ability to generate highdimensional data while efficiently capturing the correlation between attributes in a dataset. Existing solutions for low-dimensional data synthesis, which partition the privacy budget among all attributes, cease to be effective in high-dimensional scenarios due to the large-scale noise and communication cost caused by the high dimension. In fact, the high-dimensional characteristics not only bring challenges but also make it possible to apply some technologies to break this bottleneck. This paper presents Sam Priv Syn for high-dimensional data synthesis under LDP, which is composed of a marginal sampling module and a data generation *** marginal sampling module is used to sample from the original data to obtain two-way marginals. The sampling process is based on mutual information, which is updated iteratively to retain, as much as possible,the correlation between attributes. The data generation module is used to reconstruct the synthetic dataset from the sampled two-way marginals. Furthermore, this study conducted comparison experiments on the real-world datasets to demonstrate the effectiveness and efficiency of the proposed method, with results proving that Sam PrivSyn can not only protect privacy but also retain the correlation information between the attributes.

关键词： local differential privacy high-dimensional data synthesis sampling data privacy privacy-preserving protocols

RIP1-dependent linear and nonlinear recruitments of caspase-8 and RIP3 respectively to necrosome specify distinct cell death outcomes

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Protein & Cell 2021年第11期12卷 858-876页

作者： Xiang Li Chuan-Qi Zhong Rui Wu Xiaozheng Xu Zhang-Hua Yang Shaowei Cai Xiurong Wu Xin Chen Zhiyong Yin Qingzu He Dianjie Li Fei Xu Yihua Yan Hong Qi Changchuan Xie Jianwei Shuai Jiahuai Han State Key Laboratory of Cellular Stress Biology School of Life SciencesInnovation Center for Cell Signaling NetworkXiamen UniversityXiamen 361102China Department of Physics Xiamen UniversityXiamen 361005China National Institute for Data Science in health and Medicine Xiamen 361102China Complex Systems Research Center Shanxi UniversityTaiyuan 030006ChinaState Key Laboratory of Cellular Stress BiologySchool of Life SciencesInnovation Center for Cell Signaling NetworkXiamen UniversityXiamen 361102China

There remains a significant gap in our quantitative understanding of crosstalk between apoptosis and necroptosis *** employing the SWATH-MS technique,we quantified absolute amounts of up to thousands of proteins in dynamic assembling/de-assembling of TNF signaling *** SWATH-MS-based network modeling and experimental validation,we found that when RIP1 level is below~1000 molecules/cell(mpc),the cell solely undergoes TRADD-dependent *** RIP1 is above~1000 mpc,pro-caspase-8 and RIP3 are recruited to necrosome respectively with linear and nonlinear dependence on RIP1 amount,which well explains the co-occurrence of apoptosis and necroptosis and the paradoxical obser-vations that RIP1 is required for necroptosis but its increase down-regulates *** amount of RIP1(>~46,000 mpc)suppresses apoptosis,leading to necroptosis *** relation between RIP1 level and occurrence of necroptosis or total cell death is *** study provides a resource for encoding the com-plexity of TNF signaling and a quantitative picture how distinct dynamic interplay among proteins function as basis sets in signaling complexes,enabling RIP1 to play diverse roles in governing cell fate decisions.

关键词： necrosome protein complexes quantification RIP1 SWATH-MS network modeling

Passive Attack Detection for a Class of Stealthy Intermittent Integrity Attacks

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 898-915页

作者： Kangkang Zhang Christodoulos Keliris Thomas Parisini Bin Jiang Marios M.Polycarpou Department of Electrical and Electronic Engineering Imperial College LondonLondon SW72AZUKand also with the KIOS Research and Innovation Center of ExcellenceUniversity of CyprusNicosia 1678Cyprus KIOS Research and innovation Center of excellence and the Department of Electrical and Computer Engineering University of CyprusNicosia 1678Cyprus Department of Electrical and Electronic Engineering Imperial College LondonLondon SW72AZUK Department of Engineering and Architecture University of TriesteTrieste 34127Italy KIOS Research and innovation Center of excellence University of CyprusNicosia 1678Cyprus College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

This paper proposes a passive methodology for detecting a class of stealthy intermittent integrity attacks in cyberphysical systems subject to process disturbances and measurement noise.A stealthy intermittent integrity attack strategy is first proposed by modifying a zero-dynamics attack *** stealthiness of the generated attacks is rigorously investigated under the condition that the adversary does not know precisely the system state *** order to help detect such attacks,a backward-in-time detection residual is proposed based on an equivalent quantity of the system state change,due to the attack,at a time prior to the attack occurrence time.A key characteristic of this residual is that its magnitude increases every time a new attack *** estimate this unknown residual,an optimal fixed-point smoother is proposed by minimizing a piece-wise linear quadratic cost function with a set of specifically designed weighting *** smoother design guarantees robustness with respect to process disturbances and measurement noise,and is also able to maintain sensitivity as time progresses to intermittent integrity attack by resetting the covariance matrix based on the weighting *** adaptive threshold is designed based on the estimated backward-in-time residual,and the attack detectability analysis is rigorously investigated to characterize quantitatively the class of attacks that can be detected by the proposed ***,a simulation example is used to demonstrate the effectiveness of the developed methodology.

关键词： Backward-in-time equivalent quantity fixed-point smoother intermittent integrity attacks

M2-specific reduction of CD1d switches NKT cell-mediated immune responses and triggers metaflammation in adipose tissue

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Cellular & Molecular Immunology 2018年第5期15卷 506-517页

作者： Huimin Zhang Rufeng Xue Shasha Zhu Sicheng Fu Zuolong Chen Rongbin Zhou Zhigang Tian Li Bai CAS Key Laboratory of Innate Immunity and Chronic Disease CAS Center for Excellence in Molecular Cell ScienceSchool of Life Sciences and Medical CenterUniversity of Science and Technology of ChinaHefei 230027China innovation Center for Cell Signaling network Hefei National Laboratory for Physical Sciences at MicroscaleHefei 230027China

Metaflammation is responsible for several metabolic syndromes,such as type 2 ***,the mechanisms by which metabolic disorders trigger metaflammation remain *** identified a cell type-specific downregulation of CD1d expression in M2 macrophages during the progression of obesity prior to the onset of inflammation in visceral adipose tissues.A reduction in CD1d expression influenced the ability of M2 macrophages to present antigens and caused a change in antigen-presenting cells from M2 macrophages to M1 *** CD1d conditional knockout(KO)mice,we further demonstrated that natural killer T(NKT)cell activation by M2 macrophages inhibited metaflammation and insulin resistance by promoting Th2 responses and M2 polarization in visceral adipose tissues of obese mice,whereas NKT cell activation by M1 macrophages exacerbated metaflammation and insulin resistance by promoting Th1 responses and inhibiting M2 *** results suggest that an M2-specific reduction of CD1d is an initiating event that switches NKT cell-mediated immune responses and disrupts the immune balance in visceral adipose tissues in obese mice.

关键词： CD1d macrophage metaflammation NKT cells

NKT cells in liver diseases

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Frontiers of Medicine 2018年第3期12卷 249-261页

作者： Shasha Zhu Huimin Zhang Li Bai CAS Key Laboratory of Innate Immunity and Chronic Disease CAS Center for Excellence in Molecular Cell Science School of Life Sciences and Medical Center University of Science and Technology of China Hefei 230027 China innovation Center for Cell Signaling network Hefei National Laboratory for Physical Sciences at Microscale Hefei 230027 China

Natural killer T cells are innate-like and tissue-resident lymphocytes, which recognize lipid antigens and are enriched in the liver. Natural killer T cells play important roles in infections, tumors, autoimmune diseases, and metabolic diseases. In this study, we summarize recent findings on biology of natural killer T cells and their roles in hepatitis B virus and hepatitis C virus infection, autoimmune liver diseases, alcoholic liver disease, nonalcoholic fatty liver disease, and hepatocellular carcinoma. Controversial results from previous studies are discussed, and indicate the dynamic alteration in the role of natural killer T cells during the progression of liver diseases, which might be caused by changes in natural killer T subsets, factors skewing cytokine responses, and intercellular crosstalk between natural killer T cells and CDld-expressing cells or bystander cells.

关键词： natural killer T cells hepatitis B virus and hepatitis C virus infection autoimmune liver diseases alcoholic liverdisease nonalcoholic fatty liver disease hepatocellular carcinoma

Drugs as causative agents and therapeutic agents in inflammatory bowel disease

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Acta Pharmaceutica Sinica B 2013年第5期3卷 289-296页

作者： Phani Krishna Kondamudi Rajkumar Malayandi Chandramohan Eaga Deepika Aggarwal Centre of excellence-Bio Studies Integrated Product Development OrganizationIPDO-Innovation PlazaAndhra Pradesh 500072India

Ulcerative colitis and Crohn's disease are collectively known as inflammatory bowel diseases(IBD)which are chronic inflammatory disorders of gastrointestinal *** etiopathogenesis of IBD has been extensively studied but not fully *** advances in physiology,molecular biology and pharmacology have provided some insight into the basic etiopathogenetic causes such as genetic,immunologic,*** review focuses on drugs involved in the cause of the disease and the investigational new drugs,current therapeutic strategies and their clinical benefits.

关键词： Inflammatory bowel disease Ulcerative colitis Crohn's disease Drug therapy

Lactic acid in tumor microenvironments causes dysfunction of NKT cells by interfering with mTOR signaling

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Science China(Life Sciences) 2016年第12期59卷 1290-1296页

作者： Di Xie Shasha Zhu Li Bai CAS Key Laboratory of lnnate lmmunity and Chronic Disease CAS Center for Excellence in Molecular Cell Science School of Life Sciences and Medical Center University of Science and Technology of China Hefei 230027 China innovation Center for Cell Signaling network Hefei National Laboratory for Physical Sciences at Microscale Hefei 230027 China

Cellular metabolism has been shown to regulate differentiation and function of immune cells. Tumor associated immune cells undergo phenotypic and functional alterations due to the change of cellular metabolism in tumor microenvironments. NKT cells are good candidates for immunotherapies against tumors and have been used in several clinical trials. However, the influences of tumor microenvironments on NKT cell functions remain unclear. In our studies, lactic acid in tumor microenvironments inhibited IFN？ and IL4 productions from NKT cells, and more profound influence on IFN？ was observed. By adjusting the pH of culture medium we fiu-ther showed that, dysfunction of NKT cells could simply be induced by low extracellular pH. Moreover, low extracellular pH inhibited NKT cell functions by inhibiting mammalian target of rapamycin （roTOR） signaling and nuclear translocation of promyelocytic leukemia zinc-finger （PLZF）. Together, our results suggest that tumor acidic microenvironments could interfere with NKT cell functions through metabolic controls.

关键词： lactic acid NKT cell IFNT mTOR PLZF

An Ethical Evaluation Index System for Clinical Approval of Medical Technology in China:A Structural Equation Model Study

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Chinese Journal of Integrative Medicine 2017年第6期23卷 474-480页

作者： LI Jing-xian QIAO Zhi-cheng MA Hong-xia LI Yi-ting LI En-chang JI Peng-cheng HUANG Gang Collaborative innovation Center of network and Big Data Applications Lingnan Normal University Department of Finance College of EconomicsJinan University Department of Pediatric Affiliated Hospital of Guangdong Medical University Teaching and Research Section of health Care Management School of Health Management and EducationCapital Medical University Chinese Journal of Medical Ethics Xi'an Jiaotong University

Objective： To construct a quantitative ethical evaluation index system for the clinical approval of medical technology in China. Methods： Exploratory factor analysis （EFA） and first-order confirmatory factor analysis （CFA） based on a structure equation model （SEM）, higher-order CFA and normalisation were used to establish an ethical evaluation index system for the clinical approval of medical technology. Data were processed in SPSS 13.0 and Lisre 15.3. Results： There were 52 third class indices, 15 second class indices, and 3 first class indices in this ethical evaluation index system. The weight of each index was calculated by normalisation. Conclusion： This study developed a three-level ethical evaluation index system, comprising 70 indices, for the clinical approval of medical technology.

关键词： medical technology ethical review factor analysis structural equation model

Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 18-23页

作者： Jiarui Cai Bo Sun Huijun Wang Yi Zheng Siyu Zhou Huixin Li Yanyan Huang Peishu Zong Collaborative innovation Center on forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment ChangeNanjing University of Information Science and TechnologyNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina China Meteorological Administration Key Laboratory of Transportation MeteorologyNanjingChina Jiangsu Meteorological Observatory NanjingChina

Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical *** learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many *** this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,*** two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction *** addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.

关键词： Groundwater depth Multi-head attention Improved dung beetle optimizer CNN-LSTM CNN-GRU Ningxia