Location privacy preservation approach towards to content sharing on mobile online social network

A privacy access control model for content sharing was presented to fine-grained control users' location infor-mation associated with sharing content in mobile social network. A k-anonymity privacy algorithm for privacy settings was given to protect against inference attack on a content sharing service provider server. To balance the privacy and quality of service, a location shifting method was presented. Finally experimental results demonstrate the validity and practicality of the proposed approach.     

胆碱酯酶保藏方法的筛选及固定化研究

目的:对胆碱酯酶进行保藏研究,以期得到最佳的酶活力。方法:以小麦酯酶为实验材料,采取冷藏、冷冻和酶的固定化的措施,添加不同种类和不同比例的防腐剂,采用不同的包装材料进行比较研究。结果:能够保持胆碱酯酶的酶活力方法是:设定保藏温度为-20℃,添加0.1%硫柳汞采用塑料瓶包装储藏,这样可以很好地保持酶液的酶活力。结论:采用低温冷冻保藏胆碱酯酶并且添加一定剂量的防腐剂可以很好的保持胆碱酯酶酶活力。     

Privacy theory in practice: designing a user interface for managing location privacy on mobile devices

ABSTRACT

Disclosing the current location of a person can seriously affect their privacy, but many apps request location information to provide location-based services. Simultaneously, these apps provide only crude controls for location privacy settings (sharing all or nothing). There is an ongoing discussion about rights of users regarding their location privacy (e.g. in the context of the General Data Protection Regulation – GDPR). GDPR requires data collectors to notify users about data collection and to provide them with opt-out options. To address these requirements, we propose a set of user interface (UI) controls for fine-grained management of location privacy settings based on privacy theory (Westin), privacy by design principles and general UI design principles. The UI notifies users about the state of location data sharing and provides controls for adjusting location sharing preferences. It addresses three key issues: whom to share location with, when to share it, and where to share it. Results of a user study (N=23) indicate that (1) the proposed interface led to a greater sense of control, that (2) it was usable and well received, and that (3) participants were keen on using it in real life. Our findings can inform the development of interfaces to manage location privacy.     

Solving the privacy paradox: A counter-argument experimental approach

This study investigates why ordinary online users highly concerned about the misuse of personal information do not adopt privacy-protective behaviors, or even engage in risky behaviors, on the Internet. Given that people have few chances to directly experience privacy infringement and tend to be unfamiliar with technical terms, their opinions as reflected in conventional polls tend to be instantaneous reactions to survey questionnaires, lacking thoughtfulness. By adopting a counterargument experimental technique, this study produced three important findings: (1) people’s opinions about online privacy are swayed after being presented with a message containing a counterargument; (2) this persuasion effect is pronounced among people with a low level of online knowledge or who assess the presented message’s argument as strong; and (3) the privacy paradox is found in conventional polls but disappears in counterargument conditions. These findings imply that opinions concerning online privacy should not be estimated through conventional polling. Rather, alternative polls (e.g., deliberative polls) should be adopted for online privacy policy-making.     

Survey on differential privacy and its progress

With the arrival of the era of big data sharing,data privacy protection issues will be highlighted.Since its introduction in 2006,differential privacy technology has been widely researched in data mining and data publishing.In recent years,Google,Apple and other companies have introduced differential privacy technology into the latest products,and differential privacy technology has become the focus of academia and industry again.Firstly,the traditional centralized model of differential privacy was summarized,from the perspective of analysis of data mining and data released in the differential privacy way.Then the latest local differential privacy regarding data collection and data analysis based on the local model was described,involving crowdsourcing with random response technology,BloomFilter,statistical inference techniques.Finally,the main problems and solutions of differential privacy technology were summarized.     

银杏叶粗提物对荔枝的防腐保鲜效果

以银杏为研究对象,利用乙醇浸提法得到银杏叶粗提物,从色泽、VC含量、质量损失率、菌落总数以及感官评定等方面评价银杏叶粗提物对荔枝的防腐保鲜效果。结果表明:随着处理时间的延长,银杏叶粗提物能减少荔枝水分损失,抑制褐变,延缓VC含量的下降,减少微生物对荔枝果肉的侵染以及降低腐烂率,较好地保持了荔枝的感官品质。在试验浓度范围内(0.2%~0.6%),银杏叶粗提物浓度与荔枝防腐保鲜效果呈正相关。银杏叶粗提物对荔枝具有较好的防腐保鲜效果。     

征信过程中个人信用信息隐私权的法律保护

征信机构在征集、利用个人信用信息的过程中,由于对个人信息的披露易给个人权益造成损害。如何避免个人隐私受到侵犯,是个人征信建设必须要考虑的问题。文中在分析信用立法较完善国家的经验的基础上,对我国征信过程中个人信用信息隐私权的立法提出建议。     

A numerical algorithm for image sequence inpainting that preserves fine textures

We describe a fast, reliable and automatic algorithm for image sequence inpainting that combines spatio-temporal interpolation with fine texture preservation inside missing areas. The algorithm provides an estimate of the inpainting error by using an automatic geometric recognition of missing regions. Computational kernels are sparse linear systems solved using Generalized Minimum RESidual iterative method equipped with AMG multigrid preconditioner. Experiments on synthetic and real data are discussed.     

预制混凝土夹芯墙板的研究与应用

本文介绍了一种新型节能保温墙体——预制混凝土夹芯保温墙板,阐述了应用这种新型墙体的必要性及这种新型节能墙体的国内外发展现状与进展,并展望了其发展趋势,该技术为实现住宅产业化提供了重要支撑.