Applying Grey Relational Analysis to Evaluate the Factors Affecting Innovation Capability: Evidence from Chinese High-Tech Industries

For the studies on the innovation capability, there are many limitations in using traditional statistical techniques. The grey system theory proposed in this paper is to supplement the limitations of using traditional techniques and it is more suitable to figure out the significance of influencing factors for facilitating innovation capability. Based on the statistical data from Chinese high-tech industries, over the period 2006-2008, this paper used fifteen indicators affecting the innovation capability, and it applied grey relational analysis to find out the significant factors. The results show that expenditure and persons engaged in science and technology activities are the significant factors affecting innovation capability within Chinese high-tech industries, and the efficiency for input-output of resources is less significant factor, which implies that the efficiency for input-output within Chinese high-tech industries is lower, and its effect to facilitate Chinese high-tech industrial innovation capability is insignificant. In order to facilitate Chinese high-tech industrial innovation capability, the government and enterprises should pay enough attentions to not only the expenditure and personnel engaged in science and technology activities, but also enhancing the efficiency for input-output of technology resources. Key words: Innovation capability; Grey relational analysis; Chinese high-tech industries Résumé: Pour les études sur la capacité d'innovation, il ya beaucoup de limitations dans l'utilisation de techniques statistiques traditionnelles. La théorie des systèmes de gris proposées dans ce document est de compléter les limites de l'utilisation des techniques traditionnelles et il est plus approprié pour comprendre l'importance de facteurs d'influence pour faciliter la capacité d'innovation. Basé sur les données statistiques du chinois industries de haute technologie, sur la période 2006-2008, ce papier utilisé quinze indicateurs affectant la capacité d'innovation, et l'a appliqué l'analyse relationnelle grise pour découvrir les facteurs significatifs. Les résultats montrent que les dépenses et les personnes engagées dans des activités scientifiques et technologiques sont des facteurs importants qui affectent la capacité d'innovation au sein chinoise industries de haute technologie, et l'efficacité pour les entrées-sorties de ressources est un facteur moins important, ce qui implique que l'efficacité d'entrées-sorties au sein chinoise industries de haute technologie est plus faible, et son effet de faciliter chinoises de haute technologie capacité d'innovation industrielle est insignifiante. Afin de faciliter chinoises de haute technologie capacité d'innovation industrielle, le gouvernement et les entreprises devraient payer des attentions assez pour non seulement les dépenses et le personnel engagé dans les activités scientifiques et technologiques, mais aussi améliorer l'efficacité des entrées-sorties de ressources technologiques. Mots clés: La capacité d'innovation; Gris analyse relationnelle; De la haute technologie de l’industrie chinois

Research on Practice of Human Capital Pricing Within the Chinese Aeronautical Manufacturers

With the economic globalization and entry’s into World Trade Organization (WTO), human capital pricing has been great strategy fulcrum of Chinese economic growth gradually. At present, sufficient theory guidance on human capital pricing can’t be supplied because of studies on human capital pricing is underway stage. This paper, based on the international studies on human capital pricing, analyzes the practice of human capital pricing within Chinese aeronautical manufacturers via statistical analysis by the usage of Statistic Product of Science and Society (SPSS). It aims at identifying the key factors of human capital pricing in China, which can provide decision support for Chinese aeronautical manufacturers.Key words: Human capital pricing; Statistical analysis; Chinese aeronautical manufacturers; Factor analysi

How Creativity is Changing China

This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. The question Professor Li Wuwei investigates is not 'whether' creativity is changing China - but 'how' creativity is changing China. The outcome will have a profound impact on how China develops and its economic role in the world. Creative industries maintain and protect historical and cultural heritage, improve cultural capital, and foster communities as well as individual creativity. This leads to the improvement of cultural assets of cities, the establishment of city brands and identity, the promotion of the creative economy, and overall economic and social development. In this context, creativity is changing China forever

How Creativity is Changing China

This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. The question Professor Li Wuwei investigates is not 'whether' creativity is changing China - but 'how' creativity is changing China. The outcome will have a profound impact on how China develops and its economic role in the world. Creative industries maintain and protect historical and cultural heritage, improve cultural capital, and foster communities as well as individual creativity. This leads to the improvement of cultural assets of cities, the establishment of city brands and identity, the promotion of the creative economy, and overall economic and social development. In this context, creativity is changing China forever

Non-invasive visualization of amyloid-beta deposits in Alzheimer amyloidosis mice using magnetic resonance imaging and fluorescence molecular tomography

Abnormal cerebral accumulation of amyloid-beta peptide (Aβ) is a major hallmark of Alzheimer's disease. Non-invasive monitoring of Aβ deposits enables assessing the disease burden in patients and animal models mimicking aspects of the human disease as well as evaluating the efficacy of Aβ-modulating therapies. Previous in vivo assessments of plaque load have been predominantly based on macroscopic fluorescence reflectance imaging (FRI) and confocal or two-photon microscopy using Aβ-specific imaging agents. However, the former method lacks depth resolution, whereas the latter is restricted by the limited field of view preventing a full coverage of the large brain region. Here, we utilized a fluorescence molecular tomography (FMT)-magnetic resonance imaging (MRI) pipeline with the curcumin derivative fluorescent probe CRANAD-2 to achieve full 3D brain coverage for detecting Aβ accumulation in the arcAβ mouse model of cerebral amyloidosis. A homebuilt FMT system was used for data acquisition, whereas a customized software platform enabled the integration of MRI-derived anatomical information as prior information for FMT image reconstruction. The results obtained from the FMT-MRI study were compared to those from conventional planar FRI recorded under similar physiological conditions, yielding comparable time courses of the fluorescence intensity following intravenous injection of CRANAD-2 in a region-of-interest comprising the brain. In conclusion, we have demonstrated the feasibility of visualizing Aβ deposition in 3D using a multimodal FMT-MRI strategy. This hybrid imaging method provides complementary anatomical, physiological and molecular information, thereby enabling the detailed characterization of the disease status in arcAβ mouse models, which can also facilitate monitoring the efficacy of putative treatments targeting Aβ

Genome sequence of the cultivated cotton <i>Gossypium arboreum</i>

The complex allotetraploid nature of the cotton genome (AADD; 2n = 52) makes genetic, genomic and functional analyses extremely challenging. Here we sequenced and assembled the Gossypium arboreum (AA; 2n = 26) genome, a putative contributor of the A subgenome. A total of 193.6 Gb of clean sequence covering the genome by 112.6-fold was obtained by paired-end sequencing. We further anchored and oriented 90.4% of the assembly on 13 pseudochromosomes and found that 68.5% of the genome is occupied by repetitive DNA sequences. We predicted 41,330 protein-coding genes in G. arboreum. Two whole-genome duplications were shared by G. arboreum and Gossypium raimondii before speciation. Insertions of long terminal repeats in the past 5 million years are responsible for the twofold difference in the sizes of these genomes. Comparative transcriptome studies showed the key role of the nucleotide binding site (NBS)-encoding gene family in resistance to Verticillium dahliae and the involvement of ethylene in the development of cotton fiber cells.Genetics &amp; HereditySCI(E)[email protected]; [email protected]; [email protected]

The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

A promising alternative to comprehensively performing genomics experiments is to, instead, perform a subset of experiments and use computational methods to impute the remainder. However, identifying the best imputation methods and what measures meaningfully evaluate performance are open questions. We address these questions by comprehensively analyzing 23 methods from the ENCODE Imputation Challenge. We find that imputation evaluations are challenging and confounded by distributional shifts from differences in data collection and processing over time, the amount of available data, and redundancy among performance measures. Our analyses suggest simple steps for overcoming these issues and promising directions for more robust research

The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

A promising alternative to comprehensively performing genomics experiments is to, instead, perform a subset of experiments and use computational methods to impute the remainder. However, identifying the best imputation methods and what measures meaningfully evaluate performance are open questions. We address these questions by comprehensively analyzing 23 methods from the ENCODE Imputation Challenge. We find that imputation evaluations are challenging and confounded by distributional shifts from differences in data collection and processing over time, the amount of available data, and redundancy among performance measures. Our analyses suggest simple steps for overcoming these issues and promising directions for more robust research