我国化妆品产品稳定性研究与管理现状的探讨

化妆品的稳定性是评价化妆品质量与安全的重要因素,也是化妆品使用性与功效性的保障。本文对比了全球化妆品稳定性研究的监管体系和稳定性文件情况,梳理了国内化妆品产品有效期、稳定性及监管等相关文件的内容。通过对“监管、协会和企业”三个板块电子问卷调查结果,分析我国目前化妆品产品稳定性研究现状,发现工作开展面临的主要问题。借鉴国外化妆品产品稳定性研究的经验及我国食品药品等行业领域产品稳定性研究情况,对我国化妆品产品稳定性研究方向、技术文件的制定和监管服务提出建议。

基于超级微波消解-电感耦合等离子体质谱法分析儿童化妆品中的40种元素

为了解儿童化妆品中元素含量的情况,建立了超级微波消解-电感耦合等离子体质谱法测定儿童化妆品中40种元素的方法,方法学验证后,对75批样品进行了测定和检测结果分析评价。结果表明,该方法满足化妆品的检测要求,且方法简便、快速、准确、适用儿童化妆品中元素的测定。汞、铅、砷、镉元素检测结果均符合规定;镍、铬、钡三种元素,其中2批样品的钡元素测定结果分别为0.88和0.62 mg/kg,1批镍元素测定结果为6.71 mg/kg,其余样品三种元素的检测结果均小于0.5 mg/kg;钛元素测定结果为0.2~82.5 mg/kg;1批银元素的测结果为6.83 mg/kg;16种稀土元素均小于0.1 mg/kg,其余元素均小于0.3 mg/kg。建议在儿童化妆品中,对镍、铬、钡三种元素及其盐开展限度研究、对钛含量进行健康风险评估、对氰化银钾的检测方法进行完善,稀土元素和其余元素安全状况良好,安全风险较低。

Voronoi-Based Coverage Optimization for Directional Sensor Networks

Sensing coverage is a fundamental problem in sensors networks. Different from traditional isotropic sensors with sensing disk, directional sensors may have a limited angle of sensing range due to special applications. In this paper, we study the coverage problem in directional sensor networks (DSNs) with the rotatable orientation for each sensor. We propose the optimal coverage in directional sensor networks (OCDSN) problem to cover maximal area while activating as few sensors as possible. Then we prove the OCDSN to be NP-complete and propose the Voronoi-based centralized approximation (VCA) algorithm and the Voronoi-based distributed approximation (VDA) algorithm of the solution to the OCDSN problem. Finally, extensive simulation is executed to demonstrate the performance of the proposed algorithms.

A Novel Shilling Attack Detection Model Based on Particle Filter and Gravitation

With the rapid development of e-commerce, the security issues of collaborative filtering recommender systems have been widely investigated. Malicious users can benefit from injecting a great quantities of fake profiles into recommender systems to manipulate recommendation results. As one of the most important attack methods in recommender systems, the shilling attack has been paid considerable attention, especially to its model and the way to detect it. Among them, the loose version of Group Shilling Attack Generation Algorithm (GSAGenl) has outstanding performance. It can be immune to some PCC (Pearson Correlation Coefficient)-based detectors due to the nature of anti-Pearson correlation. In order to overcome the vulnerabilities caused by GSAGenl, a gravitation-based detection model (GBDM) is presented, integrated with a sophisticated gravitational detector and a decider. And meanwhile two new basic attributes and a particle filter algorithm are used for tracking prediction. And then, whether an attack occurs can be judged according to the law of universal gravitation in decision-making. The detection performances of GBDM, HHT-SVM, UnRAP, AP-UnRAP Semi-SAD,SVM-TIA and PCA-P are compared and evaluated. And simulation results show the effectiveness and availability of GBDM.

高效液相色谱法测定防晒类化妆品中邻甲氨基苯甲酸甲酯

建立了一种高效液相色谱法测定防晒类化妆品中邻甲氨基苯甲酸甲酯含量的方法。样品经提取、超声、过滤后,采用Welch Xtimate^(®)C_(18)色谱柱分离,高效液相色谱-二极管阵列检测器进行定性、定量分析。在本实验条件下,邻甲氨基苯甲酸甲酯能与防晒类化妆品中常见的22种防晒剂进行分离,其质量浓度与峰面积之间呈良好的线性关系(r=0.9996),检出限为0.009%,定量限为0.029%,在高、中、低三种质量浓度的添加回收率实验中,回收率在99.33%~111.5%之间,RSD在0.3%~3.0%之间。该方法专属性强、准确度高,适用于防晒类化妆中邻甲氨基苯甲酸甲酯含量的测定。

Agent-Oriented Architecture for Ubiquitous Computing in Smart Hyperspace

Agent-oriented approach is increasingly showing its magic power in a diversity of fields, specifically, ubiquitous computing and smart environment. Meanwhile, it is considered the next creative issue is to interconnect and integrate isolated smart spaces in real world together into a higher level space known as a hyperspace. In this paper, an agent-oriented architecture, which involves the techniques of mobile agents, middleware, and embedded artificial intelligence, is proposed. Detailed implementations describe our efforts on the design of terminal device, user interface, agents, and AI

Blue-shifted and naked-eye recognition of H_(2)PO_(4)- and acetylacetone based on a luminescent metal-organic framework with new topology and good stability

Fluorescence detecting both organic and inorganic analytes has aroused tremendous scientific interests, because fluorescence techniques have high sensitivity and are easy to operate. A new threedimensional(3D) MOF {[(CH_(3))_(2)NH_(2)][Zn_(3)(bbip)(BTDI)1.5(OH)]·DMF·MeOH·3H_(2)O}n(JXUST-13, bbip = 2,6-bis(benzimidazol-1-yl)pyridine and H_(4)BTDI = 5,5-(benzo[c][1,2,5]thiadiazole-4,7-diyl)diisophthalic acid)with new 4,4,8-connceted topology has been successfully synthesized and structurally characterized. Importantly, JXUST-13 could recognize H_(2)PO_(4)-and acetylacetone(Acac) by obvious fluorescence blue shift and slight enhancement with the detection limits of 2.70 μmol/L and 0.21 mmol/L, respectively. In addition, JXUST-13 exhibits relatively good thermal stability, chemical stabilities as well as reusability, and the analytes could be distinguished by naked eye and fluorescence test paper. Remarkably, JXUST-13 is the first dual-responsive MOF sensor based on fluorescence blue shift for the detection of H_(2)PO_(4)-and Acac with good selectivity in a handy, economic, and environmentally friendly manner.

Secure Two-Party Distance Computation Protocol Based on Privacy Homomorphism and Scalar Product in Wireless Sensor Networks

Numerous privacy-preserving issues have emerged along with the fast development of the Internet of Things. In addressing privacy protection problems in Wireless Sensor Networks （WSN）, secure multi-party computation is considered vital, where obtaining the Euclidian distance between two nodes with no disclosure of either side＇s secrets has become the focus of location-privacy-related applications. This paper proposes a novel Privacy-Preserving Scalar Product Protocol （PPSPP） for wireless sensor networks. Based on PPSPP, we then propose a Homomorphic-Encryption-based Euclidean Distance Protocol （HEEDP） without third parties. This protocol can achieve secure distance computation between two sensor nodes. Correctness proofs of PPSPP and HEEDP are provided, followed by security validation and analysis. Performance evaluations via comparisons among similar protocols demonstrate that HEEDP is superior; it is most efficient in terms of both communication and computation on a wide range of data types, especially in wireless sensor networks.

Lacustrine biomass: An significant precursor of high wax oil

Although a variety of precursors have been proposed for the formation of high molecular weight hydro-carbons (HMWHCs) in crude oil, their precise origin re-mains elusive. Quantitative studies of macrocrystalline wax and microcrystalline wax content of source rock extracts from the Damintun depression, Liaohe Basin, a typical high wax producing area, coupled with microscopical maceral composition studies and pyrolysis-GC analysis indicate that oil shale enriched in lacustrine biomass makes a primary contribution to wax in oil. The main precursors of high wax oil are lacustrine alginites and their amorphous matrix, which are highly aliphatic in nature and have high genera-tive potential for HMWHCs. Wax generation efficiency could be affected by organic material abundance and matur-ity. The high abundance and low maturity of organic mate-rial are favorite for the formation of high quantity of wax, which declines with decreasing organic abundance and in-creasing thermal maturity. This suggests that wax is derived from organic-rich lacustrine biomass at early stages of maturation (RO = 0.4%—0.7%). Although the contribution of high plant cuticular wax and sporopollen cannot be ruled out, lacustrine biomass is more important in the formation of high wax oil.

Smart Attendance System Based on Frequency Distribution Algorithm with Passive RFID Tags

Staff attendance information has always been an important part of corporate management.However,some opportunistic employees may consign others to punch their time cards,which hampers the authenticity of attendance and effectiveness of record keeping.Hence,it is necessary to develop an innovative anti-cheating system for office attendance.Radio-Frequency IDentification(RFID)offers new solutions to solve such problems because of its strong anti-interference capability and non-intrusiveness.In this paper,we present a smart attendance system that extracts distinguishable phase characteristics of individuals to enable recognition of various targets.A frequency distribution histogram is extracted as a fingerprint for recognition and the K-means clustering method is utilized for more fine-grained recognition of targets with similar features.Compared with traditional attendance mechanisms,RFID-based attendance systems are based on living biological characteristics,which greatly reduces the possibility of false records.To evaluate the performance of our system,we conducted extensive experiments.The results of which demonstrate the efficiency and accuracy of our system with an average accuracy of 92%.Moreover,the system evaluation shows that our design is robust against differences in the clothing worn and time of day,which further verifies the successful performance of our system.

PChord:a distributed hash table for P2P network

As a solution for data storage and information sharing for peer-to-peer(P2P)networks,a novel distributed hash table(DHT)structure called PChord is presented in this paper.PChord adopts a bi-directional searching mechanism superior to Chord and enhances the structure of the finger table.Based on Hilbert space filling curve,PChord realizes the mapping mechanism for multikeyword approximate searching.Compared with the Chord and Kademlia protocols,PChord evidently increases speed on resource searching and message spreading via theoretic proof and simulation results,while maintaining satisfactory load balance.