Emotions of users do not converge in a single application but are scattered across diverse applications.Mobile devices are the closest media for handling user data and these devices have the advantage of integrating p...Emotions of users do not converge in a single application but are scattered across diverse applications.Mobile devices are the closest media for handling user data and these devices have the advantage of integrating private user information and emotions spread over different applications.In this paper,we first analyze user profile on a mobile device by describing the problem of the user sentiment profile system in terms of data granularity,media diversity,and server-side solution.Fine-grained data requires additional data and structural analysis in mobile devices.Media diversity requires standard parameters to integrate user data from various applications.A server-side solution presents a potential risk when handling individual privacy information.Therefore,in order to overcome these problems,we propose a general-purposed user profile system based on sentiment analysis that extracts individual emotional preferences by comparing the difference between public and individual data based on particular features.The proposed system is built based on a sentiment hierarchy,which is created by using unstructured data on mobile devices.It can compensate for the concentration of single media,and analyze individual private data without the invasion of privacy on mobile devices.展开更多
讨论了全新的1200 V/10 A SPM?智能功率模块。它是经过全面优化的智能型集成式IGBT逆变模块,提供良好的热性能和可靠的特性,适合工业风扇电机应用。它利用全新开发的NPT沟道IGBT以及先进的STEALTHTM续流二极管和内置自举二极管。HVIC、...讨论了全新的1200 V/10 A SPM?智能功率模块。它是经过全面优化的智能型集成式IGBT逆变模块,提供良好的热性能和可靠的特性,适合工业风扇电机应用。它利用全新开发的NPT沟道IGBT以及先进的STEALTHTM续流二极管和内置自举二极管。HVIC、多功能LVIC以及内置的热敏电阻为整个系统提供良好的可靠性能。该模块还利用DBC基板的技术优势,实现更佳的热性能。展开更多
Metabolic syndrome(MetS)is a complex condition that significantly increases the risk of several diseases,including heart disease and diabetes.Patients with MetS show both pro-inflammatory and pro-thrombotic states;how...Metabolic syndrome(MetS)is a complex condition that significantly increases the risk of several diseases,including heart disease and diabetes.Patients with MetS show both pro-inflammatory and pro-thrombotic states;however,the state that takes precedence in MetS progression is unclear.展开更多
Although aberrant DNA methylation changes are significantly associated with the pathogenesis of many diseases,little is known about the molecular mechanisms underlying interactions between DNA methylation and gene exp...Although aberrant DNA methylation changes are significantly associated with the pathogenesis of many diseases,little is known about the molecular mechanisms underlying interactions between DNA methylation and gene expression in metabolic syndrome(MetS).The aim of this study was to identify biomarkers and molecular mechanisms regulated by DNA methylation in MetS.We profiled genome-wide DNA methylation using the Infinium MethylationEPIC BeadChIP and characterized the transcriptome by RNA sequencing in our study population comprised of subjects with MetS(n=11)and controls(n=9).展开更多
基金This work was supported by Institute of Information&communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.2019-0-00231,Development of artificial intelligence based video security technology and systems for public infrastructure safety).
文摘Emotions of users do not converge in a single application but are scattered across diverse applications.Mobile devices are the closest media for handling user data and these devices have the advantage of integrating private user information and emotions spread over different applications.In this paper,we first analyze user profile on a mobile device by describing the problem of the user sentiment profile system in terms of data granularity,media diversity,and server-side solution.Fine-grained data requires additional data and structural analysis in mobile devices.Media diversity requires standard parameters to integrate user data from various applications.A server-side solution presents a potential risk when handling individual privacy information.Therefore,in order to overcome these problems,we propose a general-purposed user profile system based on sentiment analysis that extracts individual emotional preferences by comparing the difference between public and individual data based on particular features.The proposed system is built based on a sentiment hierarchy,which is created by using unstructured data on mobile devices.It can compensate for the concentration of single media,and analyze individual private data without the invasion of privacy on mobile devices.
文摘讨论了全新的1200 V/10 A SPM?智能功率模块。它是经过全面优化的智能型集成式IGBT逆变模块,提供良好的热性能和可靠的特性,适合工业风扇电机应用。它利用全新开发的NPT沟道IGBT以及先进的STEALTHTM续流二极管和内置自举二极管。HVIC、多功能LVIC以及内置的热敏电阻为整个系统提供良好的可靠性能。该模块还利用DBC基板的技术优势,实现更佳的热性能。
基金supported by the“Development of Korean Medicine Original Technology for Preventive Treatment based on Integrative Big Data”grant from the Korea Institute of Oriental Medicine(No.KSN2023120).
文摘Metabolic syndrome(MetS)is a complex condition that significantly increases the risk of several diseases,including heart disease and diabetes.Patients with MetS show both pro-inflammatory and pro-thrombotic states;however,the state that takes precedence in MetS progression is unclear.
基金This study was supported by the“Development of Korean Medicine Original Technology for Preventive Treatment based on Integrative Big Data”grant from the Korea Institute of Oriental Medicine(No.KSN2023120).
文摘Although aberrant DNA methylation changes are significantly associated with the pathogenesis of many diseases,little is known about the molecular mechanisms underlying interactions between DNA methylation and gene expression in metabolic syndrome(MetS).The aim of this study was to identify biomarkers and molecular mechanisms regulated by DNA methylation in MetS.We profiled genome-wide DNA methylation using the Infinium MethylationEPIC BeadChIP and characterized the transcriptome by RNA sequencing in our study population comprised of subjects with MetS(n=11)and controls(n=9).
