Differential privacy is an essential approach for privacy preservation in data queries.However,users face a significant challenge in selecting an appropriate privacy scheme,as they struggle to balance the utility of q...Differential privacy is an essential approach for privacy preservation in data queries.However,users face a significant challenge in selecting an appropriate privacy scheme,as they struggle to balance the utility of query results with the preservation of diverse individual privacy.Customizing a privacy scheme becomes even more complex in dealing with queries that involve multiple data attributes.When adversaries attempt to breach privacy firewalls by conducting multiple regular data queries with various attribute values,data owners must arduously discern unpredictable disclosure risks and construct suitable privacy schemes.In this paper,we propose a visual analysis approach for formulating privacy schemes of differential privacy.Our approach supports the identification and simulation of potential privacy attacks in querying statistical results of multi-dimensional databases.We also developed a prototype system,called DPKnob,which integrates multiple coordinated views.DPKnob not only allows users to interactively assess and explore privacy exposure risks by browsing high-risk attacks,but also facilitates an iterative process for formulating and optimizing privacy schemes based on differential privacy.This iterative process allows users to compare different schemes,refine their expectations of privacy and utility,and ultimately establish a well-balanced privacy scheme.The effectiveness of this study is verified by a user study and two case studies with real-world datasets.展开更多
Visualization and artificial intelligence(AI)are well-applied approaches to data analysis.On one hand,visualization can facilitate humans in data understanding through intuitive visual representation and interactive e...Visualization and artificial intelligence(AI)are well-applied approaches to data analysis.On one hand,visualization can facilitate humans in data understanding through intuitive visual representation and interactive exploration.On the other hand,AI is able to learn from data and implement bulky tasks for humans.In complex data analysis scenarios,like epidemic traceability and city planning,humans need to understand large-scale data and make decisions,which requires complementing the strengths of both visualization and AI.Existing studies have introduced AI-assisted visualization as AI4VIS and visualization-assisted AI as VIS4AI.However,how can AI and visualization complement each other and be integrated into data analysis processes are still missing.In this paper,we define three integration levels of visualization and AI.The highest integration level is described as the framework of VIS+AI,which allows AI to learn human intelligence from interactions and communicate with humans through visual interfaces.We also summarize future directions of VIS+AI to inspire related studies.展开更多
Background:In plastic surgery,tissue expansion is widely used for repairing skin defects.However,low expansion efficiency and skin rupture caused by thin,expanded skin remain significant challenges in promoting skin r...Background:In plastic surgery,tissue expansion is widely used for repairing skin defects.However,low expansion efficiency and skin rupture caused by thin,expanded skin remain significant challenges in promoting skin regeneration during expansion.S100 calcium-binding protein A9(S100A9)is essential in promoting wound healing;however,its effects on skin regeneration during tissue expansion remain unclear.The aim of the present study was to explore the role of S100A9 in skin regeneration,particularly collagen production to investigate its importance in skin regeneration during tissue expansion.Methods:The expression and distribution of S100A9 and its receptors-toll-like receptor 4(TLR-4)and receptor for advanced glycation end products were studied in expanded skin.These character-istics were investigated in skin samples of rats and patients.Moreover,the expression of S100A9 was investigated in stretched keratinocytes in vitro.The effects of S100A9 on the proliferation and migration of skin fibroblasts were also observed.TAK-242 was used to inhibit the binding of S100A9 to TLR-4;the levels of collagen I(COL I),transforming growth factor beta(TGF-β),TLR-4 and phospho-extracellular signal-related kinase 1/2(p-ERK1/2)in fibroblasts were determined.Furthermore,fibroblasts were co-cultured with stretched S100A9-knockout keratinocytes by siRNA transfection and the levels of COL I,TGF-β,TLR-4 and p-ERK1/2 in fibroblasts were investigated.Additionally,the area of expanded skin,thickness of the dermis,and synthesis of COL I,TGF-β,TLR-4 and p-ERK1/2 were analysed to determine the effects of S100A9 on expanded skin.Results:Increased expression of S100A9 and TLR-4 was associated with decreased extracellular matrix(ECM)in the expanded dermis.Furthermore,S100A9 facilitated the proliferation and migration of human skin fibroblasts as well as the expression of COL I and TGF-βin fibroblasts via the TLR-4/ERK1/2 pathway.We found that mechanical stretch-induced S100A9 expression and secretion of keratinocytes stimulated COL I,TGF-β,TLR-4 and p-ERK1/2 expression in skin fibroblasts.Recombined S100A9 protein aided expanded skin regeneration and rescued dermal thinning in rats in vivo as well as increasing ECM deposition during expansion.Conclusions:These findings demonstrate that mechanical stretch promoted expanded skin regeneration by upregulating S100A9 expression.Our study laid the foundation for clinically improving tissue expansion using S100A9.展开更多
基金supported by the NSFC,China(62202244,U22B2034)and"the Fundamental Research Funds for the Central Universities,China,"Nankai University.
文摘Differential privacy is an essential approach for privacy preservation in data queries.However,users face a significant challenge in selecting an appropriate privacy scheme,as they struggle to balance the utility of query results with the preservation of diverse individual privacy.Customizing a privacy scheme becomes even more complex in dealing with queries that involve multiple data attributes.When adversaries attempt to breach privacy firewalls by conducting multiple regular data queries with various attribute values,data owners must arduously discern unpredictable disclosure risks and construct suitable privacy schemes.In this paper,we propose a visual analysis approach for formulating privacy schemes of differential privacy.Our approach supports the identification and simulation of potential privacy attacks in querying statistical results of multi-dimensional databases.We also developed a prototype system,called DPKnob,which integrates multiple coordinated views.DPKnob not only allows users to interactively assess and explore privacy exposure risks by browsing high-risk attacks,but also facilitates an iterative process for formulating and optimizing privacy schemes based on differential privacy.This iterative process allows users to compare different schemes,refine their expectations of privacy and utility,and ultimately establish a well-balanced privacy scheme.The effectiveness of this study is verified by a user study and two case studies with real-world datasets.
基金supported by the National Natural Science Foundation of China(Grant Nos.62202244,62132017,and 62036010).
文摘Visualization and artificial intelligence(AI)are well-applied approaches to data analysis.On one hand,visualization can facilitate humans in data understanding through intuitive visual representation and interactive exploration.On the other hand,AI is able to learn from data and implement bulky tasks for humans.In complex data analysis scenarios,like epidemic traceability and city planning,humans need to understand large-scale data and make decisions,which requires complementing the strengths of both visualization and AI.Existing studies have introduced AI-assisted visualization as AI4VIS and visualization-assisted AI as VIS4AI.However,how can AI and visualization complement each other and be integrated into data analysis processes are still missing.In this paper,we define three integration levels of visualization and AI.The highest integration level is described as the framework of VIS+AI,which allows AI to learn human intelligence from interactions and communicate with humans through visual interfaces.We also summarize future directions of VIS+AI to inspire related studies.
基金supported by grants from the Natural Science Foundation of China(81971851 and 82172229)the Natural Science Foundation of Shaanxi Province(2022JM-600)the Foundation of Xijing Hospital Grants(XJZT21CM33).
文摘Background:In plastic surgery,tissue expansion is widely used for repairing skin defects.However,low expansion efficiency and skin rupture caused by thin,expanded skin remain significant challenges in promoting skin regeneration during expansion.S100 calcium-binding protein A9(S100A9)is essential in promoting wound healing;however,its effects on skin regeneration during tissue expansion remain unclear.The aim of the present study was to explore the role of S100A9 in skin regeneration,particularly collagen production to investigate its importance in skin regeneration during tissue expansion.Methods:The expression and distribution of S100A9 and its receptors-toll-like receptor 4(TLR-4)and receptor for advanced glycation end products were studied in expanded skin.These character-istics were investigated in skin samples of rats and patients.Moreover,the expression of S100A9 was investigated in stretched keratinocytes in vitro.The effects of S100A9 on the proliferation and migration of skin fibroblasts were also observed.TAK-242 was used to inhibit the binding of S100A9 to TLR-4;the levels of collagen I(COL I),transforming growth factor beta(TGF-β),TLR-4 and phospho-extracellular signal-related kinase 1/2(p-ERK1/2)in fibroblasts were determined.Furthermore,fibroblasts were co-cultured with stretched S100A9-knockout keratinocytes by siRNA transfection and the levels of COL I,TGF-β,TLR-4 and p-ERK1/2 in fibroblasts were investigated.Additionally,the area of expanded skin,thickness of the dermis,and synthesis of COL I,TGF-β,TLR-4 and p-ERK1/2 were analysed to determine the effects of S100A9 on expanded skin.Results:Increased expression of S100A9 and TLR-4 was associated with decreased extracellular matrix(ECM)in the expanded dermis.Furthermore,S100A9 facilitated the proliferation and migration of human skin fibroblasts as well as the expression of COL I and TGF-βin fibroblasts via the TLR-4/ERK1/2 pathway.We found that mechanical stretch-induced S100A9 expression and secretion of keratinocytes stimulated COL I,TGF-β,TLR-4 and p-ERK1/2 expression in skin fibroblasts.Recombined S100A9 protein aided expanded skin regeneration and rescued dermal thinning in rats in vivo as well as increasing ECM deposition during expansion.Conclusions:These findings demonstrate that mechanical stretch promoted expanded skin regeneration by upregulating S100A9 expression.Our study laid the foundation for clinically improving tissue expansion using S100A9.
