The Impacts Of Regulatory Regimes And Science & Technology Policy On Innovation Performance：Based On China’s National Hi-Tech Industry Development Zone

Along with the internal environment of China’s National Hi-tech industry Development Zone becoming more complicated, it’s difficult to show the advantages of their original resources. And internal institutional environment has gradually become more importance on innovation performance. Based on the existing studies, this paper tries to do a regression analysis of Hi-tech zone’s regulatory regimes, policy, and innovation performance, aiming to find out the key institutional factors which influenced the High-tech zone’s innovation performance. The results showed that: (1) the more Municipal administrative privileges Hi-tech zone has, the better its performance will be. (2) The national level policy has a significant positive correlation with innovation performance; but the policy from provincial and municipal governments has a significant negative correlation. (3) The nature of management agency has negative regulation in the relationship between the power of provincial and municipal policies and the innovation performance. This research tries to provide a new revelation for the hi-tech zones, which will help them get more scientific management operations and development policy. Keywords : National Hi-tech Industry Development Zone, regulatory Regimes, Science & Technology policy, innovation Performanc

Research of growth mechanism of ceramic coatings fabricated by micro-arc oxidation on magnesium alloys at high current mode

AbstractMicro-arc oxidation (MAO) coatings of ZK60 magnesium alloys were formed in a self-developed dual electrolyte composed of sodium silicate and phosphate at the high constant current of 1.8 A (15 A/dm2). The MAO process and growth mechanism were investigated by scanning electron microscopy (SEM) coupled with an energy dispersive spectrometer (EDS), confocal laser scanning microscopy and X-ray diffraction (XRD). The results indicate that the growth process of MAO coating mainly goes through “forming → puncturing → rapid growth of micro-arc oxidation →large arc discharge → self-repairing”. The coating grows inward and outward at the same time in the initial stage, but outward growth of the coating is dominant later. Mg, Mg2SiO4 and MgO are the main phases of ceramic coating

Photorealistic Audio-driven Video Portraits

Video portraits are common in a variety of applications, such as videoconferencing, news broadcasting, and virtual education and training. We present a novel method to synthesize photorealistic video portraits for an input portrait video, automatically driven by a person’s voice. The main challenge in this task is the hallucination of plausible, photorealistic facial expressions from input speech audio. To address this challenge, we employ a parametric 3D face model represented by geometry, facial expression, illumination, etc., and learn a mapping from audio features to model parameters. The input source audio is first represented as a high-dimensional feature, which is used to predict facial expression parameters of the 3D face model. We then replace the expression parameters computed from the original target video with the predicted one, and rerender the reenacted face. Finally, we generate a photorealistic video portrait from the reenacted synthetic face sequence via a neural face renderer. One appealing feature of our approach is the generalization capability for various input speech audio, including synthetic speech audio from text-to-speech software. Extensive experimental results show that our approach outperforms previous general-purpose audio-driven video portrait methods. This includes a user study demonstrating that our results are rated as more realistic than previous methods

Full-length enriched multistage cDNA library construction covering floral bud development in Populus tomentosa

Flowering involves expression of a suite of genes associated with floral development. The genome of the Chinese white poplar (Populus trichocarpa) was sequenced because of its importance as a model tree for genetic studies as well as being an economically important woody plant. However, information on expressed genes involved in poplar floral bud development is insufficient to allow annotation of genes and use of the genomic information. To isolate and characterize genes involved in flowering of Populus tomentosa, floral bud samples were collected at different developmental stages from floral bud initiation to flower maturity, and full-length enriched cDNA libraries from both male and female floral buds were constructed. The results of titer analysis showed that the titer of the female and male primary libraries were 8.00 × 105 and 7.20 × 105 pfu/ml, respectively, and the titer of the amplified libraries were 2.60 × 108 and 2.56 × 108 pfu/ml, respectively. The combination ratio reached 90% and the insert size was 400 to 2000 bp. The results indicated that cDNA libraries were successfully constructed.Keywords: cDNA library, floral bud, flowering, Populus tomentosaAfrican Journal of Biotechnology Vol. 11(29), pp. 7373-7377, 10 April, 201

Genetic diversity analysis of cocksfoot (Dactylis glomerata L.) accessions with sequence-related amplified polymorphism (SRAP) and inter-simple sequence repeat (ISSR) markers

Sequence-related amplified polymorphism (SRAP) and inter-simple sequence repeat (ISSR), two advanced molecular markers for genetic research in grass and forage, were used to analyze the genetic diversity among 44 accessions of cocksfoot collected from seven countries and regions. 21 SRAP primer combinations generated 476 bands, of which 401 were polymorphic (84.24%). Using 12 ISSR primers, 100 polymorphic bands out of 115 bands in total were generated (86.96%). The coefficient of genetic similarity from SRAP and ISSR data ranged from 0.6838 to 0.9686 and from 0.6935 to 0.9231, respectively. Based on unweighted pair group method with arithmetic mean (UPGMA) cluster and principal component analysis (PCA) on a series of genetic characteristics, all accessions were divided into three clusters and four clusters using two markers, respectively. Those, accessions collected from the identical continent were classified into the same cluster, suggesting the geographical distribution of genetic diversity of cocksfoot. The genetic diversity of Chinese cocksfoot except for three Chinese cultivars was rather rich and greater than that of other regions. We proposed that both SRAP and ISSR markers were considered as useful tools for evaluating the genetic diversity of cocksfoot. Especially, SRAP detected more variance and gave clearer cluster groups.Keywords: Cocksfoot, genetic diversity, sequence-related amplified polymorphism (SRAP), inter-simple sequence repeat (ISSR), germplas

Fault-propagation Pattern Based DFA on SPN Structure Block Ciphers using Bitwise Permutation, with Application to PRESENT and PRINTcipher

This paper proposes a novel fault-propagation pattern based differential fault analysis method - FPP-DFA, and proves its feasibility on SPN structure block ciphers using bitwise permutation, such as PRESENT and PRINTcipher. Simulated experiments demonstrate that, with the fault model of injecting one nibble fault into the r-2th round substitution layer, on average 8 and 16 faulty samples can reduce the master key search space of PRESENT-80/128 to $2^{14.7}$ and $2^{21.1}$ respectively, and 12 and 24 effective faulty samples can reduce the master key search space of PRINTcipher-48/96 to $2^{13.7}$ and $2^{22.8}$ respectively; with the fault model of injecting one nibble fault into the r-3th round substitution layer, 8 samples can reduce the master key search space of PRINTCipher-96 to $2^{18.7}$

Constraints on interacting dark energy models from time-delay cosmography with seven lensed quasars

Measurements of time-delay cosmography of lensed quasars can provide an independent probe to explore the expansion history of the late-time universe. In this paper, we employ the time-delay cosmography measurements from seven lenses (here abbreviated as the TD data) to constrain interacting dark energy (IDE) models. We mainly focus on the scenario of vacuum energy (with $w=-1$) interacting with cold dark matter, and consider four typical cases of the interaction form $Q$. When the TD data alone is employed, we find that the IDE models with $Q\propto \rho_{\rm de}$ seem to have an advantage in relieving the $H_{0}$ tension between the cosmic microwave background (CMB) and TD data. When the TD data is added to the CMB+BAO+SN+$H_0$ data, we find that: (i) the coupling parameter $\beta$ in all the considered IDE models is positive within 1$\sigma$ range, implying a mild preference for the case of cold dark matter decaying into dark energy; (ii) all the considered IDE models aggravate the $\sigma_8$ tension, while the $S_8$ tension could be slightly relieved in the IDE model with $Q = \beta H_{0} \rho_{\rm c}$; (iii) the Akaike information criteria of the IDE models with $Q \propto \rho_{\rm c}$ are lower than that of the $\Lambda$CDM model, indicating that these IDE models are more preferred by the current mainstream data. We conclude that the considered IDE models have their own different advantages when the TD data is employed, and none of them can achieve good scores in all aspects.Comment: 10 pages, 4 figure

Value of reduced glomerular filtration rate assessment with cardiometabolic index: insights from a population-based Chinese cohort

Abstract Background Recent studies have suggested that cardiometabolic index (CMI), a novel estimate of visceral adipose tissue, could be of use in the evaluation of cardiovascular risk factors. However, the potential utility and clinical significance of CMI in the detection of reduced estimated glomerular filtration rate (eGFR) remains uncertain. The purpose of this study was to investigate the usefulness of CMI in assessing reduced eGFR in the general Chinese population. Methods This cross-sectional analysis included 11,578 participants (mean age: 53.8 years, 53.7% females) from Northeast China Rural Cardiovascular Health Study (NCRCHS) of general Chinese population (data collected from January 2013 to August 2013). CMI was calculated by triglyceride to high density lipoprotein cholesterol ratio multiply waist-to-height ratio. Reduced eGFR was defined as eGFR< 60 ml/min per 1.73m2. Multivariate regressions were performed to determine CMI’s association with eGFR value and eGFR reduction, ROC analyses were employed to investigate CMI’s discriminating ability for decreased eGFR. Results The prevalence of reduced eGFR was 1.7% in males and 2.5% in females. CMI was notably more adverse in reduced eGFR groups, regardless of genders. In fully adjusted multivariate linear models, each 1 SD increment of CMI caused 3.150 ml/min per 1.73m2 and 2.411 ml/min per 1.73m2 loss of eGFR before CMI reached 1.210 and 1.520 in males and females, respectively. In logistic regression analyses, per 1 SD increase of CMI brought 51.6% additional risk of reduced eGFR in males while caused 1.347 times of risk in females. After divided into quartiles, people in the top quartile of CMI had higher adjusted ORs of having reduced eGFR, with ORs of 4.227 (1.681, 10.627) and 3.442 (1.685–7.031) for males and females respectively. AUC of CMI was revealed to be 0.633 (0.620–0.646) in males and 0.684 (0.672–0.695) in females. Conclusions Higher CMI was independently associated with greater burden of reduced eGFR, highlighting VAT distribution and dysfunction as a potential mechanism underlying the association of obesity with kidney damage and adverse cardiovascular outcomes. The findings from this study provided important insights regarding the potential usefulness and clinical relevance of CMI in the detection of reduced eGFR among general Chinese population.https://deepblue.lib.umich.edu/bitstream/2027.42/146138/1/12882_2018_Article_1098.pd