Big data analytics are pervasive in data-intensive systems and applications using machine learning and deep learning. IoT sensor devices are generating all types of big data, including structured (e.g., tables) and unstructured data (e.g., text and image), which are beyond the processing power of humans. However, how to conduct big data analysis on IoT data without compromising IoT privacy is still an open problem. IoT shall leverage powerful learning techniques to automatically learn patterns such as similarities, correlations and abnormalities from big sensing data in a privacy-preserving manner. To make this happen, we first examine distributed learning techniques that are suitable for IoT architectures. We then propose a privacy-preserving distributed learning framework with a novel dynamic deep learning mechanism to extract patterns and learn knowledge from IoT data. Simulations are performed to show the effectiveness and efficiency of our solution.

Massive amount of queries with location data from mobile sensors, connected vehicles, and IoT devices make the Location-Based Services (LBS) pervasive. LBS service providers can provide valuable services for mobile users ranging from POI (Point-Of-Interest) discovery to local search, etc. However, user personal privacy issues mainly come from the fact that users need to send their coordinates and query interests or features to the service provider which may compromise their privacy. In this paper, we focus on a new user privacy problem from a historical query point of view, and consider query search features as new tools for attackers to possibly locate users in a specific location and/or region. We introduce a new query-feature-based inference attack with an illustration on a real-world data set. We define Indistinguishable Feature-Inferred Location/Grids and Probabilistic k-Effectiveness to provide a strong property with differential privacy mannered guarantee. To achieve the privacy property, we design novel randomized algorithms to countermeasure the privacy attack. Based on entropy and recourse cost related metrics, simulations and analysis are performed to show the effectiveness and efficiency of our approaches.

Multiple sensors with different functions on sensor-enabled devices on a mobile vehicle are generating large amount of data in real time which consists of a vehicular user's instant context. Context-aware services and applications utilize users' contexts to provide personalized services in return. However, most of the context-aware applications are selfish and very curious of users' sensitive information. In this work, we propose a framework for privacy preserving mobile sensing by caching on mobile vehicles. The framework combines a context releasing component with sensitive data caching capability to achieve strong contextual privacy for mobile vehicles. The main strength of our approach is to improve the privacy level by data caching for sensitive contexts as well as the quality of query results. Finally, we conduct simulations to evaluate our framework for effectiveness and efficiency.

Recent advances in mobile device, wireless networking, and positional technologies have helped location-aware applications become pervasive. However, location trajectory privacy concerns hinder the adoptability of such applications. In this article, we survey existing trajectory privacy work in the context of wireless sensor networks, location-based services, and geosocial networks. In each context, we categorize and summarize the main techniques according to their own feathers. Furthermore, we discuss future trajectory privacy research challenges and directions.

The popularity of location-aware mobile devices and the advances of wireless networking have seriously pushed location-based services into the IT market. However, moving users need to report their coordinates to an application service provider to utilize interested services that may compromise user privacy. In this paper, we propose an online personalized scheme for generating anonymity zones to protect users with mobile devices while on the move. We also introduce a strong adversary model, which can conduct inference attacks in the system. Our design combines a geometric transformation algorithm with a dynamic pseudonyms-changing mechanism and user-controlled personalized dummy generation to achieve strong trajectory privacy preservation. Our proposal does not involve any trusted third-party and will not affect the existing LBS system architecture. Simulations are performed to show the effectiveness and efficiency of our approach.

Polymerization of 2,5-diformylfuran with two primary amines was carried out in acetonitrile and ethanol at room temperature. The reaction was characterized using a combination of mass spectroscopy and NMR spectroscopy, which revealed the clean formation of the imine –CHN− functional group. Although some cyclic products were detected from mass spectroscopy, the ring size was limited to products that have the −CHN− group only in anti-geometry. The furan Schiff bases exhibit good thermal stability. While mass spectra evidenced oligomers of different lengths, cross-polarization magic angle spinning 13C NMR spectra of the insoluble polymer revealed the linear structure as proposed. © 2013 Society of Chemical Industry

Hydroxyl-functionalized graphene (G–OH) was efficiently produced from exfoliation of graphite powder by ball milling the presence of potassium hydroxide (KOH). While the nanoscale graphene sheets were confirmed by various characterization techniques, including atomic force microscopy (AFM), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and UV-vis spectroscopy, the formation of hydroxyl groups in G–OH was revealed by Fourier transform infrared (FTIR), Nuclear Magnetic Resonance analysis (NMR), Raman and X-ray photoelectron spectroscopic (XPS) measurements. The as-prepared G–OH showed strong hydrophilicity with good solubility in water, excellent electrochemical activity and no influence on the growth of human retinal pigment epithelium (RPE) cells. More than 80% cell survival rate and less than 7% lactate dehydrogenase (LDH) release were observed for RPE cells treated with G–OH, indicating excellent biocompatibility.

Polymer thin films offer a versatile and ubiquitous platform for a wide variety of real-world applications in biomedicine, nanotechnology, catalysis, photovoltaic devices, and energy conversion and storage. Depending on the chemical composition of the polymers and the associated microenvironment, the physicochemical properties (biocompatibility, stability, wettability, adhesion, morphology, surface free energy, and others) of polymer films can be tuned for a specific application through precisely controlled surface synthesis and the incorporation of desirable and responsive functional groups. In this short review, we first summarise the methods most commonly used for the fabrication of polymer thin films. Then we discuss how these polymer thin films can be used in a selection of biomedical applications in antifouling materials and biosensors. Some directions for the rational design of polymer thin films to achieve a specific function or application are also provided.

<正>各位晚上好。在发言之前,请允许我做一个小小的调查。在座的当中从来没有用过手机的请举手(忘带的除外),好,请放下。公布调查结果,今天参会的手机拥有率100%。根据一家国内知名市场研究公司的数据,中国手机用户于今年3月(3日)突破了10亿大关。工信部最新发布的一项统计公报也显示,截至2011年底,我国手机

<正>[本刊讯]湖日前,记者从河北邯郸市中医院获悉,该院于今年2月14日竣工并正式投入使用的国医堂,因荟萃一批著名中医,突出中医特色,深受广大患者欢迎。该院国医堂是在医院原专家门诊部基础上于今年新投入35万余元改建而成的,

<正>[本刊讯]近日,山东省荣成市中医院与荣成市广播电台合作,参与电台《大嘴小嘴说健康》节目,利用电波传递健康保健知识,普及中医文化和医学知识。此次合作共有52期,注重向市民介绍中医保健的方法。

<正>[本刊讯]在创先争优活动中,江苏省仪征市中医院围绕"以病人为中心,以发挥中医药特色优势为主题",强化患者就诊环境建设,强化"一站式"服务,强化中医特色优势开展,调动党员的积极性和创造性,提高服务和管理水平,促进社会和谐。

<正>[本刊讯]7月14日下午,四川省广元市中医院举行了一场别开生面的"名中医"拜师仪式。省市级名中医或学科带头共9名导师,与18名弟子结为师徒,并签订为期三年的带徒协议。"名医带徒"是该院实施名院、名科、名医"三名"战略的重要组成部分。

<正>[本刊讯]日前,河南省开封市中医院举办首批"天使风采"礼仪培训班,160多名护理人员参加了为期2天的培训,通过对护士行为礼仪、服务礼仪、服务技巧、沟通礼仪、电话礼仪的培训,规范了

<正>[本刊讯]为增进群众对中草药的了解,河北省内丘县中医院积极普及中草药知识。该院利用现有场地,建设了药颐园,种植了数十种中草药,并石刻中草药品种,让住院病人在呼吸新鲜空气的同时,观赏草药,增长知识,在门诊大厅布置了中草药展台,利用院报介绍常用的中药材和饮片,并辅以药性的介绍。同时,医院每月开办"健康大讲堂",不定期举行中草药知识

Fe(2+) cations in FeCl(2) or FeSO(4) were oxidized by graphene oxide, leading to an in situ deposition of Fe(3)O(4) nanoparticles onto the self-reduced graphene oxide (rGO) sheets. The resultant Fe(3)O(4)/rGO sheets were demonstrated to possess interesting magnetic and electrochemical properties attractive for a large variety of potential applications.

<正>[本刊讯]江苏省涟水县中医医院积极贯彻落实国家中医药管理局在全国中医院开展中医管理年活动精神,开展中医对口支援工作,取得较好成绩。今年以来,该院先后与本县的时码乡、成集镇、陈师镇、

<正>[本刊讯]近日,江苏省涟水县中医院为加强青年中医临床人才及新引进中医大学生培养,遵循中医临床医师的成长规律,分别启动了"青苗培养工程"和"杏林人才计划",就培养对象、指导老师、培训年限、培训内容与方法、组织管理以及考核细则等都作了详细明确的规定。通过实施"青苗培养工程"和"杏林人才计划",对从事中医临床工作的住院医师及中医大学生,开展以跟师学习