摘要：
Crowdsourcing is a new approach which obtains information or input for a particular task by enlisting the services of the crowd. In recent crowdsourcing applications, the hybrid human–computerapproach has been widely studied, to take advantage of both human beings and computers. In this paper, we propose a novel such application: blood typing for people in a family. We propose the BloodTyping method. It selects some members to take medical blood type tests, and to determine other family members' blood types, based on the inheritance rules. The aim is to reduce the number of medical tests, and thus, lower the cost. We extract rules for both + induction and − induction . The former is to predict children's blood types from parents', and the latter is to backward-induce a parent's blood type, given those of children and the other parent. Different combinations of bloodtypes can induce different results: some may be an exact blood type, while others are composed of several blood types. Our method is optimised by conducting the cases which generate exact blood types first. The order is guided by extra-information via crowdsourcing, including the distribution of blood types with respect to the birthplace, and the personality, which may indicate some specific blood types. Taking a family with two parents and all children as a basic unit, the algorithm can be conducted simultaneously among different families in a decentralised way. The simulation results show that BloodTyping can significantly reduce the required number of blood tests. Article ahead-of-print.
期刊：
Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia,2016年39(11):1-9 ISSN：0254-0770
通讯作者：
Liu, Wei(weiliu_china@126.com)
作者机构：
[Liu, Wei; Huang, Xindi] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha Hunan, 410208, China;[Hu, Zhigang; Xian, Weicheng] School of Software, Central South University, Changsha Hunan, 410075, China
通讯机构：
School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha Hunan, China
关键词：
Conditional complexity;Cyclomatic complexity;Identification of refactoring opportunities;Software metrics;Statistical analysis
摘要：
In order to identify the high conditional complexity in source code, a novel approach based on statistical analysis is proposed. According to the statistical analysis of two software metrics which are Method McCabe's Cyclomatic Complexity (MMCC) and Method Average McCabe's Cyclomatic Complexity Per Code Line (MAMCC) in a large number of projects, the probability density functions and cumulative distribution functions for describing distributions of these two metrics are obtained. Moreover, a model for identifying high conditional complexity is built by choosing reasonable threshold of these metrics, and this model can be used for preliminary screening the methods which have high MMCC and high MAMCC. The experimental results show that the proposed approach can identify some candidate methods which need to be refactored accurately.
作者机构：
[丁长松; 王志英] College of Computer, National University of Defense Technology, Changsha, 410073, China;[丁长松; 梁杨] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, 410208, China
关键词：
网格计算;协同预留;QoS满意度;预留策略
摘要：
针对动态网格资源服务的不确定性问题,提出一种可量化分析资源服务QoS (quality of service)的多资源协同预留策略.该策略基于对运行在资源上的网格任务QoS指标分析,得出QoS满意度量化、归一化方法,建立资源服务QoS与预留容量之间的函数关系,并以市场经济环境为背景,分析任务费用约束下资源价格与预留容量之间的关系,求解得出可均衡负载的多资源节点协同预留方案.理论分析给出了策略的有效性证明和算法,仿真实验采用真实网格系统中的任务负载信息作为实验负载,在较大规模的模拟网格系统中检验了所提出的预留策略的性能表现.实验结果显示,该策略在接纳任务数、资源利用率和任务违约率方面的性能表现显著优于传统的预留策略.
作者机构：
[李鹏; 王建新] School of Information Science and Engineering, Central South University, Changsha, 410083, China;[李鹏] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, 410208, China
通讯机构：
School of Information Science and Engineering, Central South University, Changsha, China
摘要：
Silver nanoparticles (AgNPs) based antibacterial materials are widely applied to commodity and clinic wound treatments. However, genotoxicity and inflammatory response induced by AgNPs inhibit their application as the antibacterial coating of medical devices like catheters. A novel gelatin-AgNPs coating manufacture method was introduced here to generate an antibacterial coating, which nearly immunes to inflammatory, on basal PHBV material. The novel gelatin-AgNPs coating was produced by immobilizing gelatin on the Poly (3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) membrane and subsequently fixing AgNPs on acquired gelatin coating. Prepared gelatin-AgNPs coatings displayed considerable antibacterial capacity. These gelatin-AgNPs coatings did not cause inflammation, growth inhibition or apoptosis to normal human embryonic lung fibroblasts, MRC-5 cells, by analyzing the transcription levels of relevant genes in these cells incubated with tested coatings for 4 days. Hence, this novel gelatin-AgNPs coating manufacture method paved its way to apply in medical devices manufacture including catheters.
期刊：
Applied Microbiology and Biotechnology,2016年100(16):7103-7113 ISSN：0175-7598
通讯作者：
Zhan, Jixun;Wang, Wei
作者机构：
[Zhang, Shuwei; Yu, Dayu; Sun, Lei; Wang, Siyuan; Zhan, Jixun] Utah State Univ, Dept Biol Engn, 4105 Old Main Hill, Logan, UT 84322 USA.;[Yu, Dayu] Northeast Dianli Univ, Dept Appl Chem & Biol Engn, Coll Chem Engn, Jilin 132012, Jilin, Peoples R China.;[Wang, Wei; Zhan, Jixun; Huang, Huiyong; Qin, Yuhui] Hunan Univ Chinese Med, Sch Pharm, TCM & Ethnomed Innovat & Dev Lab, Changsha 410208, Hunan, Peoples R China.
通讯机构：
[Zhan, Jixun] U;[Wang, W; Zhan, JX] H;Utah State Univ, Dept Biol Engn, 4105 Old Main Hill, Logan, UT 84322 USA.;Hunan Univ Chinese Med, Sch Pharm, TCM & Ethnomed Innovat & Dev Lab, Changsha 410208, Hunan, Peoples R China.
关键词：
Anti-Helicobacter pylori;Biosynthesis;Gene disruption;Spirolaxine;Type III polyketide synthase
作者机构：
[Zhou, Yamin; Lin, Limei; Xie, Wenjian; Li, Hongquan; Xia, Bohou; Liao, Duanfang; Xie, Jiachi; Bai, Yubing] Hunan Univ Chinese Med, Sch Pharmaceut Sci, Changsha 410208, Hunan, Peoples R China.;[Li, Chun] China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100700, Peoples R China.
通讯机构：
[Lin, Limei] H;[Li, Chun] C;Hunan Univ Chinese Med, Sch Pharmaceut Sci, Changsha 410208, Hunan, Peoples R China.;China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100700, Peoples R China.
作者机构：
[Ai, Qi-Di; Song, Xiu-Yun; He, Wen-Bin; Zhang, Shuai; Chen, Nai-Hong; Xia, Cong-Yuan; Chen, Jiao; Chu, Shi-Feng] Chinese Acad Med Sci, Peking Union Med Coll, State Key Lab Bioact Subst & Funct Nat Med, Inst Mat Med, Xian Nong Tan St 1, Beijing 100050, Peoples R China.;[Ai, Qi-Di; Song, Xiu-Yun; He, Wen-Bin; Zhang, Shuai; Chen, Nai-Hong; Xia, Cong-Yuan; Chen, Jiao; Chu, Shi-Feng] Chinese Acad Med Sci, Peking Union Med Coll, Ctr Neurosci, Xian Nong Tan St 1, Beijing 100050, Peoples R China.;[Ai, Qi-Di; Chen, Nai-Hong; Chu, Shi-Feng] Hunan Univ Chinese Med, Changsha 410208, Hunan, Peoples R China.;[He, Wen-Bin; Chen, Nai-Hong] Shanxi Univ Tradit Chinese Med, Taiyuan 030024, Peoples R China.
通讯机构：
[Chen, Nai-Hong] C;[Chen, Nai-Hong] H;[Chen, Nai-Hong] S;Chinese Acad Med Sci, Peking Union Med Coll, State Key Lab Bioact Subst & Funct Nat Med, Inst Mat Med, Xian Nong Tan St 1, Beijing 100050, Peoples R China.;Chinese Acad Med Sci, Peking Union Med Coll, Ctr Neurosci, Xian Nong Tan St 1, Beijing 100050, Peoples R China.
作者机构：
[丁长松; 王志英] College of Computer, National University of Defense Technology, Changsha, China;[胡志刚] School of Software, Central South University, Changsha, China;[丁长松] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, China
通讯机构：
College of Computer, National University of Defense Technology, Changsha, China
作者：
Cancer classification using collaborative representation classifier based on non-convex lp-norm and novel decision rule
作者机构：
湖南大学
会议名称：
International Conference on Advanced Computational Intelligence
会议时间：
2015-03-27到2015-03-29
会议地点：
Fujian, PEOPLES R CHINA
关键词：
ROBUST FACE RECOGNITION;GENE-EXPRESSION PROFILE;SPARSE REPRESENTATION;TUMOR CLASSIFICATION;L(1)-MINIMIZATION;PREDICTION;ALGORITHMS;LEUKEMIA
摘要：
Sparse representation classification (SRC) and collaborative representation classification (CRC) are the most promising classifiers for classifying high dimensional data. However, they may suffer from outliers and noises, as l(2)-norm on signal fidelity is not effective enough to represent the test sample in that case. Recent studies show that non-convex l(p)-norm minimization can boost the performance of classifiers compared with l(1)- and l(2)-norm minimization in classification. In this paper, we present an improved collaborative representation classification method for the accurate identification of cancer subtype. We improve CRC method by adopting non-convex lp-norm on the signal fidelity term and introducing a new classification decision rule. We compute the coding coefficients over training samples for test sample via generalized iterated shrinkage algorithm (GISA) and classify the test sample into the subclass which has the maximum sum of coefficient (SoC). Extensive experiments on eight publicly available gene expression profde (GEP) datasets demonstrate the superiority of our proposed method.
摘要：
A robust zero-watermarking algorithm is proposed based on merging features of sentences for Chinese text document authentication. In the scheme, a text is first segmented into sets of sentences, where a semantic code for every word can be obtained. Then the sentence entropy is calculated by the frequency of semantic codes, and the sentence relevance is calculated by the semantic similarity between words through the tree structure of words in Tongyici Cilin. By employing the sentence entropy, the sentence relevance, and the sentence length, a weighting function is used to obtain the final weight of each sentence. The nouns and verbs of the high weight sentences are selected to construct a watermark, which is encrypted and registered with a trusted third party called Certificate Authority (CA). To resolve disputes, the similarity between the watermark generated from the suspicious text and the watermark from CA is calculated. The experimental results show that the proposed algorithm offers better performance in terms of imperceptibility and robustness than other available algorithms.
