A Vision Based Method to Distinguish and Recognize Static and Dynamic Gesture

AbstractVision based gesture recognizing acquired large improvements these years, as bonds of research achievements in labs become practical in factories. However, most of these findings are still restricted to either dynamic gesture or static posture, while the combination of them is always neglected but turns out to be common in practical. In this paper, we consider a vision based system that can interpret both dynamic and static gestures in real-time. Haar-like features and ada boost classifier are used to identify hands in images. Test results showed that when given suitable settings, the method of distinction runs successfully

Author Gender Metadata Augmentation of HathiTrust Digital Library

ABSTRACT Bibliographic metadata is essential for digital library resource description. Especially as the size and number of bibliographic entities grows, high-quality metadata enables richer forms of digital library access, search, and use. Metadata records can be enriched through automated techniques. For example, a digital humanities scholar might use the gender of a set of authors during their literature analysis. In this study, we undertook to enrich the metadata description of a large-scale digital library, the HathiTrust (HT) digital library, specifically by determining the gender of authors of the public domain portion of the collection. The results are stored to a separate Solr index accessible through the HathiTrust Research Center services. This study, which successfully resolved in 78.9% of the cases the gender of authors in the HT public domain corpus, suggests future research directions in capturing and representing the provenance of the contributing sources to enhance trust, and in machine learning to resolve the remaining names

Performance Evaluation of Technique Progress with Data Envelopment Analysis

Abstract. This article employs the data envelopment analysis to evaluate performances of technique progress. Some representative index stands for technique progress are taken as objects in the research. Comprehensive assessments are made by setting up and output index to find the relatively efficient model in the technique progress. Resource distribution efficiency of the technique progress is analyzed at the same time. A method for optimizing resource distribution and improving the investment is proposed. Keywords: Date envelopment analysis, Performance evaluation, Technique progress Introduce With the continuous development of science and technique in our country, technique progress perform more and more impotent function in economical development, and the significance of the technique progress evaluation is coming out. The evolution of technique progress performance is not single target calculation and measurement, it need considerate comprehensive evaluation of many index. With the future study of the measurement, a lot of new evaluation methods continuously flow out, such as BP neural network system. This article apply DEA (data envelopment analysis) to evaluate the effect of technique progress by the date from 2008 to 2010 < CHINA STATISTICAL YEARBOOK>, 2010<china new technique industry statistical yearbook>, 2010<china 60years statistical compilation>.in order to impel the development of economy, it classify the effect of technique progress and offer some useful information to government. Research Techniques DEA is a model to evaluate relative efficiencies of DMU (decision-making unit). It has been applied to evaluate performance of business in different professions [1~3] since 1978 (Charnes.ete). In those applications the inputs and outputs are fixed, but during evaluating future performance of business, the inputs and outputs are randomly, and they can be changed with market situation. So it is more difficult to evaluate randomly inputs and outputs. The paper analyzes randomly inputs and outputs; present a multiple criteria random DEA model to solve the problem. There are two sections: section 1 is the building of multiple criteria random DEA model; section 2 is an application of the model investment evaluatio

Differential Effects of Autophagy-Related 10 Protein on HCV Replication and Autophagy Flux Are Mediated by Its Cysteine44 and Cysteine135

Autophagy-related 10 (ATG10) is essential for autophagy since it promotes ATG5-ATG12 complex formation. Our previous study found that there are two isoforms of the ATG10 protein, ATG10 (a longer one) and ATG10S, which have identical sequences except an absence of a 36-amino acid fragment (peptide B) in ATG10S, yet exhibit distinct effects on HCV genome replication. Here, we report the existence of two amino acids, cysteine at residue 44 and 135 (Cys44 and Cys135, respectively), in ATG10 being related to differential effects of ATG10 on HCV replication and autophagy flux. Through a series of ATG10 mutation experiments and protein modeling prediction, we found that Cys44 was involved in the dual role of the two isoforms of ATG10 protein on HCV replication and autophagy flux, and that Cys135 plays similar roles as Cys44, but the disulfide bond of Cys44-Cys135 was not verified in the ATG10 protein. Further analyses by full HCV virion infection confirmed the roles of -SH of Cys44 and Cys135 on HCV replication. ATG10 with deleted or mutated Cys44 and/or Cys135 could activate expression of innate immunity-related genes, including il28a, irf-3, irf-7, and promote complete autophagy by driving autophagosomes to interact with lysosomes via IL28A-mediation. Subcellular localization assay and chromatin immunoprecipitation assay showed that ATG10 with the sulfydryl deletion or substitution of Cys44 and Cys135 could translocate into the nucleus and bind to promoter of IL28A gene; the results indicated that ATG10 with Cys44 and/or Cys135 absence might act as transcriptional factors to trigger the expression of anti-HCV immunological genes, too. In conclusion, our findings provide important information for understanding the differential roles on HCV replication and autophagy flux between ATG10 and ATG10S, and how the structure-function relationship of ATG10 transformed by a single -SH group loss on Cys44 and Cys135 in ATG10 protein, which may be a new target against HCV replication

Accurate estimation of cell composition in bulk expression through robust integration of single-cell information

We present Bisque, a tool for estimating cell type proportions in bulk expression. Bisque implements a regression-based approach that utilizes single-cell RNA-seq (scRNA-seq) or single-nucleus RNA-seq (snRNA-seq) data to generate a reference expression profile and learn gene-specific bulk expression transformations to robustly decompose RNA-seq data. These transformations significantly improve decomposition performance compared to existing methods when there is significant technical variation in the generation of the reference profile and observed bulk expression. Importantly, compared to existing methods, our approach is extremely efficient, making it suitable for the analysis of large genomic datasets that are becoming ubiquitous. When applied to subcutaneous adipose and dorsolateral prefrontal cortex expression datasets with both bulk RNA-seq and snRNA-seq data, Bisque replicates previously reported associations between cell type proportions and measured phenotypes across abundant and rare cell types. We further propose an additional mode of operation that merely requires a set of known marker genes.Peer reviewe