An Improvements of Deep Learner Based Human Activity Recognition with the Aid of Graph Convolution Features

Many researchers are now focusing on Human Action Recognition (HAR), which is based on various deep-learning features related to body joints and their trajectories from videos. Among many schemes, Joints and Trajectory-pooled 3D-Deep Geometric Positional Attention-based Hierarchical Bidirectional Recurrent convolutional Descriptors (JTDGPAHBRD) can provide a video descriptor by learning geometric features and trajectories of the body joints. But the spatial-temporal dynamics of the different geometric features of the skeleton structure were not explored deeper. To solve this problem, this article develops the Graph Convolutional Network (GCN) in addition to the JTDGPAHBRD to create a video descriptor for HAR. The GCN can obtain complementary information, such as higher-level spatial-temporal features, between consecutive frames for enhancing end-to-end learning. In addition, to improve feature representation ability, a search space with several adaptive graph components is created. Then, a sampling and computation-effective evolution scheme are applied to explore this space. Moreover, the resultant GCN provides the temporal dynamics of the skeleton pattern, which are fused with the geometric features of the skeleton body joints and trajectory coordinates from the JTDGPAHBRD to create a more effective video descriptor for HAR. Finally, extensive experiments show that the JTDGPAHBRD-GCN model outperforms the existing HAR models on the Penn Action Dataset (PAD)

Ultralow-Power and Secure S-Box Circuit Using FinFET Based ECRL Adiabatic Logic

Advanced Encryption Standard (AES) is the widely used technique in critical cyber security applications. In AES architecture S-box is the most important block. However, the power consumed by      S-box is 75% of the total AES design. The   S-box is also prone to Differential Power Analysis (DPA) attack which is one of the most threatening types of attacks in cryptographic systems. In this paper, a     three-stage positive polarity Reed-Muller (PPRM) S-box is implemented with 45nm FinFET using Efficient Charge Recovery Logic (ECRL) to reduce power consumption. The simulation results indicate up to 66% power savings for FinFET based S-box as compared to CMOS design. Further, the FinFET ECRL 8-bit     S-box circuit is evaluated for transitional energy fluctuations and peak current traces to compare its resistance against side-channel attacks. The lower energy variations and uniform current trace exhibit the improved security performance of the circuit to withstand DPA and Differential Electromagnetic Radiation Attacks (DEMA)

Phytochemical Screening and Antimicrobial Activity of the Plant Extracts of Mimosa pudica L. Against Selected Microbes

Mimosa pudica L. is a creeping annual or perennial herb. It has been identified as Lajjalu in Ayurveda and has been found to have antiasthmatic, aphrodisiac, analgesic and antidepressant. In the present study the active phytocomponents of Mimosa pudica were revealed using phytochemical analysis. The antimicrobial activity of Mimosa was studied using well diffusion method. The activity was tested against Aspergillus fumigatus, Citrobacter divergens and Klebsiella pneumonia at different concentrations of 50, 100 and 200μg/disc and the results have been illustrated

Evaluation of Multitask Feature in Storage and Virtualization

Nowadays all the computing devices manufactured come with high computational power and storage. But these resources are never utilized to its maximum potential. Hence virtualization is at most important in all the components of a computing device. Simultaneously tasks can be processed using such resources which means multitasking can be done. Here only storage and virtualization are considered for evaluating the feature of multitasking. Hypervisors play an important role in managing efficiently the compute resources. Virtualization has become the most developing technology. Terms virtualization and multitasking can be used alternatively

Gene expression signature-based chemical genomic prediction identifies a novel class of HSP90 pathway modulators

SummaryAlthough androgen receptor (AR)-mediated signaling is central to prostate cancer, the ability to modulate AR signaling states is limited. Here we establish a chemical genomic approach for discovery and target prediction of modulators of cancer phenotypes, as exemplified by AR signaling. We first identify AR activation inhibitors, including a group of structurally related compounds comprising celastrol, gedunin, and derivatives. To develop an in silico approach for target pathway identification, we apply a gene expression-based analysis that classifies HSP90 inhibitors as having similar activity to celastrol and gedunin. Validating this prediction, we demonstrate that celastrol and gedunin inhibit HSP90 activity and HSP90 clients, including AR. Broadly, this work identifies new modes of HSP90 modulation through a gene expression-based strategy

Evaluating the In Vitro Activity of Depsidones from Usnea subfloridana Stirton as Key Enzymes Involved in Inflammation and Gout

Background: Traditionally, Usnea genus has significant uses in the treatment of swelling and tumors in Africa and Asia. The aim of the present study was to investigate the chemical constituents present in the acetone extract (AE) of Usnea subfloridana Stirton and also to evaluate their anti-inflammatory and anti-gout effects. Methods: Isolation and characterization of secondary metabolites from AE were evaluated by chromatography and spectral studies. Anti-inflammatory activities were assessed through cyclooxygenase (COX1 and COX2) and 5-lipooxygenase (5-LOX) enzyme inhibition assays, while anti-gout effects were evaluated by xanthine oxidase (XO) inhibition assay. Results: The existence of five known depsidones, identified as galbinic acid (1), conprotocetraricacid (2), constictic acid (3), salazinic acid (4), and lobaric acid (5), were exposed by chemical investigation of AE and confirmed by spectral data. Using in vitro enzyme inhibition assays, it was noticed that all the isolates showed dose-dependent activity against all the tested enzymes. Mainly, compounds 2 and 5 showed better inhibition efficiency on COX2 enzyme with the IC50of 7.17±1.07 and 7.01±0.94 nM, respectively, than the reference drug indomethacin (7.3±0.65nM). Furthermore, all isolates exhibited potent inhibition effects on the XO enzyme. Conclusion: The results indicated that U. subfloridana can be a favorable natural source for thetreatment of inflammation and gout. Compounds 2 and 5 were responsible for these biologicalactions by regulating pro-inflammatory enzymes, namely COXs, 5-LOX, and XO

Height, selected genetic markers and prostate cancer risk:Results from the PRACTICAL consortium

Background: Evidence on height and prostate cancer risk is mixed, however, recent studies with large data sets support a possible role for its association with the risk of aggressive prostate cancer. Methods: We analysed data from the PRACTICAL consortium consisting of 6207 prostate cancer cases and 6016 controls and a subset of high grade cases (2480 cases). We explored height, polymorphisms in genes related to growth processes as main effects and their possible interactions. Results: The results suggest that height is associated with high-grade prostate cancer risk. Men with height 4180cm are at a 22% increased risk as compared to men with height o173cm (OR 1.22, 95% CI 1.01–1.48). Genetic variants in the growth pathway gene showed an association with prostate cancer risk. The aggregate scores of the selected variants identified a significantly increased risk of overall prostate cancer and high-grade prostate cancer by 13% and 15%, respectively, in the highest score group as compared to lowest score group. Conclusions: There was no evidence of gene-environment interaction between height and the selected candidate SNPs. Our findings suggest a role of height in high-grade prostate cancer. The effect of genetic variants in the genes related to growth is seen in all cases and high-grade prostate cancer. There is no interaction between these two exposures.</p