Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition

A generalized two-dimensional quaternion principal component analysis (G2DQPCA) approach with weighting is presented for color image analysis. As a general framework of 2DQPCA, G2DQPCA is flexible to adapt different constraints or requirements by imposing $L_{p}$ norms both on the constraint function and the objective function. The gradient operator of quaternion vector functions is redefined by the structure-preserving gradient operator of real vector function. Under the framework of minorization-maximization (MM), an iterative algorithm is developed to obtain the optimal closed-form solution of G2DQPCA. The projection vectors generated by the deflating scheme are required to be orthogonal to each other. A weighting matrix is defined to magnify the effect of main features. The weighted projection bases remain the accuracy of face recognition unchanged or moving in a tight range as the number of features increases. The numerical results based on the real face databases validate that the newly proposed method performs better than the state-of-the-art algorithms.Comment: 15 pages, 15 figure

Anticancer Activity of Tetrahydrocorysamine against Pancreatic Adenocarcinoma Cell Line PANC-1 In vitro and In vivo

Purpose: To investigate the cytotoxic activity of tetrahydrocorysamine (TCSM) from Corydalis Rhizoma W. T. Wang (Papaveraceae) against PANC-1 cells and its possible mechanisms.Methods: TCSM was isolated from Corydalis Rhizoma by column chromatography and identified by mass spectrometry and nuclear magnetic resonance (NMR). The effects of TCSM on the proliferation and apoptosis of PANC-1 cells were determined by methyl thiazolyl tetrazolium (MTT) and flow cytometry assays. The effect of TCSM on the expressions of mitochondria-mediated apoptotic proteins were investigated by Western blot assay. Xenograft assay was used to evaluate the anticancer activity of TCSM in vivo.Results: TCSM showed cytotoxic activity against PANC-1 cells with half-maximal concentration (IC50) of 19.16 μM in MTT assay. TCSM (5, 10 and 20 μM) significantly (p < 0.01) increased the apoptosis rates of PANC-1 cells (24.45, 35.26 and 54.16 vs 6.12 %), compared with control group. The results of Western blot suggest that TCSM significantly (p < 0.01) down-regulated the expressions of antiapoptotic proteins (Bcl-2 and Survivin), up-regulated the expressions of pro-apoptotic proteins (Bax, Smac, c-caspase-3 and c-caspase-9) and promoted the release of cytochrome C from mitochondria to the cytoplasm of PANC-1 cells, compared with control. TCSM (20 mg/kg) significantly (p < 0.01) inhibited the growth of PANC-1 cell-induced tumor (384 vs 1138 mm3) by regulating the expressions of mitochondria-mediated apoptotic proteins as stated above for xenograft assay, compared with control.Conclusion: TCSM induces apoptosis in PANC-1 cells in vitro and in vivo via mitochondria-mediated apoptotic pathway.Keywords: Corydalis Rhizoma, Tetrahydrocorysamine, PANC-1 cells, Flow cytometry, Western blot, Xenograf

Ebracteolatain A and Ebracteolatain B Induce Apoptosis of Human Hepatoma Cell Line (HepG2)

Purpose: To evaluate the effects of ebracteolatain A (EA) and ebracteolatain B (EB) from Euphorbia ebracteolata Hyata (Euphorbiaceae) on the proliferation of HepG2 cells and the possible mechanisms.Methods: EA and EB from E. ebracteolata were obtained by column chromatography. 3-(4,5- Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and flow cytometry assays were used to study the cytotoxic and pro-apoptotic activities of EA and EB against HepG2 cells. Western blot assay was used to investigate the possible mechanisms of action.Results: EA and EB were successfully isolated from E. ebracteolata by column chromatography. The results of MTT assay indicate that EA and EB have significant anti-proliferative activities against HepG2 cells in dose- and time-dependent manners with half maximal inhibitory concentration (IC50) of 28.48 and 31.72 μg/mL. respectively. The results of flow cytometry assay suggest that EA and EB significantly (p < 0.01) induced the apoptosis of HepG2 cells at the levels of 47.45 and 42.26 %, respectively. Western blot data indicate that EA and EB significantly (p < 0.05 or 0.01) down-regulated the expression levels of anti-apoptotic proteins (survivin and Bcl-2) and up-regulated the expression levels of proapoptotic proteins (Smac, Bax, c-caspase-3 and c-caspase-9) in mitochondria-mediated apoptotic pathway.Conclusion: EA and EB inhibit the proliferation of HepG2 cells, the probable mechanisms being associated with mitochondria-mediated apoptosis.Keywords: Euphorbia ebracteolata, Phloroglucinol derivatives, Mitochondria-mediated apoptosis, Flow cytometry, Western blo

BigDataBench: a Big Data Benchmark Suite from Internet Services

As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these systems rises. Considering the broad use of big data systems, big data benchmarks must include diversity of data and workloads. Most of the state-of-the-art big data benchmarking efforts target evaluating specific types of applications or system software stacks, and hence they are not qualified for serving the purposes mentioned above. This paper presents our joint research efforts on this issue with several industrial partners. Our big data benchmark suite BigDataBench not only covers broad application scenarios, but also includes diverse and representative data sets. BigDataBench is publicly available from http://prof.ict.ac.cn/BigDataBench . Also, we comprehensively characterize 19 big data workloads included in BigDataBench with varying data inputs. On a typical state-of-practice processor, Intel Xeon E5645, we have the following observations: First, in comparison with the traditional benchmarks: including PARSEC, HPCC, and SPECCPU, big data applications have very low operation intensity; Second, the volume of data input has non-negligible impact on micro-architecture characteristics, which may impose challenges for simulation-based big data architecture research; Last but not least, corroborating the observations in CloudSuite and DCBench (which use smaller data inputs), we find that the numbers of L1 instruction cache misses per 1000 instructions of the big data applications are higher than in the traditional benchmarks; also, we find that L3 caches are effective for the big data applications, corroborating the observation in DCBench.Comment: 12 pages, 6 figures, The 20th IEEE International Symposium On High Performance Computer Architecture (HPCA-2014), February 15-19, 2014, Orlando, Florida, US

Research on motion recognition based on multi-dimensional sensing data and deep learning algorithms

Motion recognition provides movement information for people with physical dysfunction, the elderly and motion-sensing games production, and is important for accurate recognition of human motion. We employed three classical machine learning algorithms and three deep learning algorithm models for motion recognition, namely Random Forests (RF), K-Nearest Neighbors (KNN) and Decision Tree (DT) and Dynamic Neural Network (DNN), Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). Compared with the Inertial Measurement Unit (IMU) worn on seven parts of body. Overall, the difference in performance among the three classical machine learning algorithms in this study was insignificant. The RF algorithm model performed best, having achieved a recognition rate of 96.67%, followed by the KNN algorithm model with an optimal recognition rate of 95.31% and the DT algorithm with an optimal recognition rate of 94.85%. The performance difference among deep learning algorithm models was significant. The DNN algorithm model performed best, having achieved a recognition rate of 97.71%. Our study validated the feasibility of using multidimensional data for motion recognition and demonstrated that the optimal wearing part for distinguishing daily activities based on multidimensional sensing data was the waist. In terms of algorithms, deep learning algorithms based on multi-dimensional sensors performed better, and tree-structured models still have better performance in traditional machine learning algorithms. The results indicated that IMU combined with deep learning algorithms can effectively recognize actions and provided a promising basis for a wider range of applications in the field of motion recognition

The neural correlates of value hierarchies: a prospective typology based on personal value profiles of emerging adults

IntroductionValue hierarchies, as motivational goals anchored in the self-schema, may be correlated with spontaneous activity in the resting brain, especially those involving self-relevance. This study aims to investigate the neural correlates of value hierarchies from the perspective of typology.MethodsA total of 610 Chinese college students (30.31% women), aged 18 to 23, completed the personal values questionnaire and underwent resting-state functional magnetic resonance imaging.ResultsThe latent profile analysis revealed three personal value profiles: traditional social orientation, modernized orientation, and undifferentiated orientation. Neuroimaging results revealed that individuals with modernized orientation prioritized openness to change value, and this personal-focus is related to the higher low-frequency amplitude of the posterior insula; individuals with traditional social orientation prioritized self-transcendence and conservation values, and this social-focus is related to the stronger functional connectivity of the middle insula with the inferior temporal gyrus, temporal gyrus, posterior occipital cortex, and basal ganglia, as well as weaker functional connections within the right middle insula.DiscussionTaken together, these findings potentially indicate the intra-generational differentiation of contemporary Chinese emerging adults’ value hierarchies. At the neural level, these are correlated with brain activities involved in processing self- and other-relevance

A simulation study on the measurement of D0-D0bar mixing parameter y at BES-III

We established a method on measuring the \dzdzb mixing parameter $y$ for BESIII experiment at the BEPCII $e^+e^-$ collider. In this method, the doubly tagged $\psi(3770) \to D^0 \overline{D^0}$ events, with one $D$ decays to CP-eigenstates and the other $D$ decays semileptonically, are used to reconstruct the signals. Since this analysis requires good $e/\pi$ separation, a likelihood approach, which combines the $dE/dx$, time of flight and the electromagnetic shower detectors information, is used for particle identification. We estimate the sensitivity of the measurement of $y$ to be 0.007 based on a $20fb^{-1}$ fully simulated MC sample.Comment: 6 pages, 7 figure

The LAMOST Survey of Background Quasars in the Vicinity of the Andromeda and Triangulum Galaxies -- II. Results from the Commissioning Observations and the Pilot Surveys

We present new quasars discovered in the vicinity of the Andromeda and Triangulum galaxies with the LAMOST during the 2010 and 2011 observational seasons. Quasar candidates are selected based on the available SDSS, KPNO 4 m telescope, XSTPS optical, and WISE near infrared photometric data. We present 509 new quasars discovered in a stripe of ~135 sq. deg from M31 to M33 along the Giant Stellar Stream in the 2011 pilot survey datasets, and also 17 new quasars discovered in an area of ~100 sq. deg that covers the central region and the southeastern halo of M31 in the 2010 commissioning datasets. These 526 new quasars have i magnitudes ranging from 15.5 to 20.0, redshifts from 0.1 to 3.2. They represent a significant increase of the number of identified quasars in the vicinity of M31 and M33. There are now 26, 62 and 139 known quasars in this region of the sky with i magnitudes brighter than 17.0, 17.5 and 18.0 respectively, of which 5, 20 and 75 are newly-discovered. These bright quasars provide an invaluable collection with which to probe the kinematics and chemistry of the ISM/IGM in the Local Group of galaxies. A total of 93 quasars are now known with locations within 2.5 deg of M31, of which 73 are newly discovered. Tens of quasars are now known to be located behind the Giant Stellar Stream, and hundreds behind the extended halo and its associated substructures of M31. The much enlarged sample of known quasars in the vicinity of M31 and M33 can potentially be utilized to construct a perfect astrometric reference frame to measure the minute PMs of M31 and M33, along with the PMs of substructures associated with the Local Group of galaxies. Those PMs are some of the most fundamental properties of the Local Group.Comment: 26 pages, 6 figures, AJ accepte