Real-Time Streaming Analytics using Big Data Paradigm and Predictive Modelling based on Deep Learning

With the evolution of distributed streaming platforms analysing humongous time series data, which is streamed continuously from IoT devices become lot easier. In most of the IoT networks the data are in motion or in data centre/cloud. It is possible to process this data in real time similar to edge devices using the big data framework.  In data intensive applications predictive analytics require more resources to perform complex computations. Apache Flink framework is capable of performing real time streaming of schema less data and scales very high in distributed environment with low latency, it is used to collect and store the data in the cloud. This work suggests a suitable environment to collect, transport, preprocess and aggregate the data stream to perform predictive analytics using deep learning models. Deep learning automatically extracts features and builds models after training, it has the potential to solve problems that can't be solved by conventional machine learning models. Therefore, the use of algorithms based on deep learning is recommended for forecasting temporal data. Also, we discuss a number of different deep learning forecasting models and analyse the performance of different deep learning forecasting models in order to determine which one is the effective model for single step, multi step and multi variant methods based on error functions with respect to streamed sensor data

Dual Effect of Azospirillum Exopolysaccharides (EPS) on the Enhancement of Plant Growth and Biocontrol of Blast (Pyricularia oryzae) Disease in Upland Rice (var. ASD-19)

The dual effect of exopolysaccharides of Azospirillum isolates viz., A-17, A-18, A-26 and A-37 and certain ISR inducing chemicals viz., Salicylic acid, Jasmonic acid and Azibenzolar on the enhancement of plant growth and bio-control against blast disease in upland rice crop was studied under in-vitro condition. It was observed that the application of EPS, collected from Azospirillum isolates, augmented the height of rice plant and reduced the blast disease incidence in upland rice to a higher level when compared to the application of ISR inducing chemicals alone. Eventhough,  the application of ISR inducing chemicals was found to reduce the blast disease incidence, as in the case of purified EPS application of Azospirillum isolates, but did not augment the growth of rice plant and clearly revealed the absence of phytostimulatory activities of ISR inducing chemicals.The study on the optimization of different concentrations of purified EPS viz., 100, 200, 300 ppm on the blast disease incidence of rice revealed that the application of the same at 200 ppm concentration could effectively controlled the disease incidence to a higher level when compared to other concentration.The results of the present study clearly revealed the dual effect of Azospirillum EPS on the enhancement of host plant growth as well as the bio-control against Pyricularia oryzae whereas the application of ISR inducing chemicals confined with reduction in blast disease incidence alone. Moreover, the Azospirillum EPS at a concentration of 200 ppm level could be optimized as effective one for the control of blast disease in upland rice

Toward impactful collaborations on computing and mental health

We describe an initiative to bring mental health researchers, computer scientists, human-computer interaction researchers, and other communities together to address the challenges of the global mental ill health epidemic. Two face-to-face events and one special issue of the Journal of Medical Internet Research were organized. The works presented in these events and publication reflect key state-of-the-art research in this interdisciplinary collaboration. We summarize the special issue articles and contextualize them to present a picture of the most recent research. In addition, we describe a series of collaborative activities held during the second symposium and where the community identified 5 challenges and their possible solutions

Graph-based Features for Automatic Online Abuse Detection

While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually. Automating this task is an important step in reducing the financial cost associated with moderation, but the majority of automated approaches strictly based on message content are highly vulnerable to intentional obfuscation. In this paper, we discuss methods for extracting conversational networks based on raw multi-participant chat logs, and we study the contribution of graph features to a classification system that aims to determine if a given message is abusive. The conversational graph-based system yields unexpectedly high performance , with results comparable to those previously obtained with a content-based approach

Paratope plasticity in diverse modes facilitates molecular mimicry in antibody response

The immune response against methyl-α -D-mannopyranoside mimicking 12-mer peptide (DVFYPYPYASGS) was analyzed at the molecular level towards understanding the equivalence of these otherwise disparate Ags. The Ab 7C4 recognized the immunizing peptide and its mimicking carbohydrate Ag with comparable affinities. Thermodynamic analyses of the binding interactions of both molecules suggested that the mAb 7C4 paratope lacks substantial conformational flexibility, an obvious possibility for facilitating binding to chemically dissimilar Ags. Favorable changes in entropy during binding indicated the importance of hydrophobic interactions in recognition of the mimicking carbohydrate Ag. Indeed, the topology of the Ag-combining site was dominated by a cluster of aromatic residues, contributed primarily by the specificity defining CDR H3. Epitope-mapping analysis demonstrated the critical role of three aromatic residues of the 12-mer in binding to the Ab. Our studies delineate a mechanism by which mimicry is manifested in the absence of either structural similarity of the epitopes or conformational flexibility in the paratope. An alternate mode of recognition of dissimilar yet mimicking Ags by the anti-peptide Ab involves plasticity associated with aromatic/hydrophobic and van der Waals interactions. Thus, antigenic mimicry may be a consequence of paratope-specific modulations rather than being dependent only on the properties of the epitope. Such modulations may have evolved toward minimizing the consequences of antigenic variation by invading pathogens

Identification and characterization of EhCaBP2: a second member of the calcium-binding protein family of the protozoan parasite entamoeba histolytica

Entamoeba histolytica, an early branching eukaryote, is the etiologic agent of amebiasis. Calcium plays a pivotal role in the pathogenesis of amebiasis by modulating the cytopathic properties of the parasite. However, the mechanistic role of Ca2+ and calcium-binding proteins in the pathogenesis of E. histolytica remains poorly understood. We had previously characterized a novel calcium-binding protein (EhCaBP1) from E. histolytica. Here, we report the identification and partial characterization of an isoform of this protein, EhCaBP2. Both EhCaBPs have four canonical EF-hand Ca2+ binding domains. The two isoforms are encoded by genes of the same size (402 bp). Comparison between the two genes showed an overall identity of 79% at the nucleotide sequence level. This identity dropped to 40% in the 75-nucleotide central linker region between the second and third Ca2+ binding domains. Both of these genes are single copy, as revealed by Southern hybridization. Analysis of the available E. histolytica genome sequence data suggested that the two genes are non-allelic. Homology-based structural modeling showed that the major differences between the two EhCaBPs lie in the central linker region, normally involved in binding target molecules. A number of studies indicated that EhCaBP1 and EhCaBP2 are functionally different. They bind different sets of E. histolytica proteins in a Ca2+-dependent manner. Activation of endogenous kinase was also found to be unique for the two proteins and the Ca2+ concentration required for their optimal functionality was also different. In addition, a 12-mer peptide was identified from a random peptide library that could differentially bind the two proteins. Our data suggest that EhCaBP2 is a new member of a class of E. histolytica calcium-binding proteins involved in a novel calcium signal transduction pathway

Mimicry of native peptide antigens by the corresponding retro-inverso analogs is dependent on their intrinsic structure and interaction propensities

Retro-inverso (ri) analogs of model T cell and B cell epitopes were predictively designed as mimics and then assayed for activity to understand the basis of functional ri-antigenic peptide mimicry. ri versions of two MHC class I binding peptide epitopes, one from a vesicular stomatitis virus glycoprotein (VSVp) and another from OVA (OVAp), exhibit structural as well as functional mimicry of their native counterparts. The two ri peptides exhibit conformational plasticity and they bind to MHC class I (H-2Kb) similar to their native counterparts both in silico and in vivo. In fact, ri-OVAp is also presented to an OVAp-specific T cell line in a mode similar to native OVAp. In contrast, the ri version of an immunodominant B cell peptide epitope from a hepatitis B virus protein, PS1, exhibits no structural or functional correlation with its native counterpart. PS1 and its ri analog do not exhibit similar conformational propensities. PS1 is less flexible relative to its ri version. These observed structure-function relationships of the ri-peptide epitopes are consistent with the differences in recognition properties between peptide-MHC vs peptide-Ab binding where, while the recognition of the epitope by MHC is pattern based, the exquisitely specific recognition of Ag by Ab arises from the high complementarity between the Ag and the binding site of the Ab. It is evident that the correlation of conformational and interaction propensities of native L-peptides and their ri counterparts depends both on their inherent structural properties and on their mode of recognition

Human adipose tissue as a reservoir for memory CD4\u3csup\u3e+\u3c/sup\u3e T cells and HIV

Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. Objective: The objective of this study is to determine whether adipose tissue functions as a reservoir for HIV-1. Design: We examined memory CD4+ T cells and HIV DNA in adipose tissue-stromal vascular fraction (AT-SVF) of five patients [four antiretroviral therapy (ART)-treated and one untreated]. To determine whether adipocytes stimulate CD4+ T cells and regulate HIV production, primary human adipose cells were cocultured with HIV-infected CD4+ T cells. Methods: AT-SVF T cells were studied by flow cytometry, and AT-SVF HIV DNA (Gag and Env) was examined by nested PCR and sequence analyses. CD4+ T-cell activation and HIV production were measured by flow cytometry and ELISA. Results: AT-SVF CD3+ T cells were activated (\u3e60% CD69+) memory CD4+ and CD8+ T cells in uninfected andHIV-infected persons, but the AT-SVF CD4+/CD8+ ratiowas lower in HIV patients. HIVDNA(Gag and Env)was detected in AT-SVF of all five patients examined by nested PCR, comparably to other tissues [peripheral blood mononuclear cell (PBMC), lymph node or thymus]. In coculture experiments, adipocytes increased CD4+ T-cell activation and HIV production approximately two to three-fold in synergy with gammachain cytokines interleukin (IL)-2, IL7 or IL15. These effects were mitigated by neutralizing antibodies against IL6 and integrin-a1b1. Adipocytes also enhanced T-cell viability. Conclusion: Adipose tissues of ART-treated patients harbour activated memory CD4+ T cells and HIV DNA. Adipocytes promote CD4+ T-cell activation and HIV production in concert with intrinsic adipose factors. Adipose tissue may be an important reservoir for HIV

Ion beam generated surface ripples: new insight in the underlying mechanism

A new hydrodynamic mechanism is proposed for the ion beam induced surface patterning on solid surfaces. Unlike the standard mechanisms based on the ion beam impact generated erosion and mass redistribution at the free surface (proposed by Bradley-Harper (BH) and its extended theories), the new mechanism proposes that the ion beam induced saltation and creep processes, coupled with incompressible solid flow in amorphous layer, leads to the formation of ripple patterns at the amorphous/crystalline (a/c) interface and hence at the free surface. Ion beam stimulated solid flow inside the amorphous layer controls the wavelength, where as the amount of material transported and re-deposited at a/c interface control the amplitude of ripples. The new approach is verified by designed experiments and supported by the discrete simulation method.Comment: 12 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:1206.082