Vesiclepedia 2019 : a compendium of RNA, proteins, lipids and metabolites in extracellular vesicles

Extracellular vesicles (EVs) are membranous vesicles that are released by both prokaryotic and eukaryotic cells into the extracellular microenvironment. EVs can be categorised as exosomes, ectosomes or shedding microvesicles and apoptotic bodies based on the mode of biogenesis. EVs contain biologically active cargo of nucleic acids, proteins, lipids and metabolites that can be altered based on the precise state of the cell. Vesiclepedia (http://www.microvesicles.org) is a web-based compendium of RNA, proteins, lipids and metabolites that are identified in EVs from both published and unpublished studies. Currently, Vesiclepedia contains data obtained from 1254 EV studies, 38 146 RNA entries, 349 988 protein entries and 639 lipid/metabolite entries. Vesiclepedia is publicly available and allows users to query and download EV cargo based on different search criteria. The mode of EV isolation and characterization, the biophysical and molecular properties and EV-METRIC are listed in the database aiding biomedical scientists in assessing the quality of the EV preparation and the corresponding data obtained. In addition, FunRich-based Vesiclepedia plugin is incorporated aiding users in data analysis

Full C-Band Tunable V-Cavity-Laser based TOSA and SFP Transceiver Modules

We report the latest development in tunable transmitter optical sub-assembly (TOSA) and small form-factor pluggable (SFP) transceivers based on simple and compact V-cavity laser (VCL), aiming for low-cost deployment in metro, access and data center networks. The VCL employs a half-wave coupler to achieve high side-mode suppression ratio (SMSR) and the Vernier effect to achieve a wide wavelength tuning range. Full C-band tuning from 1529.55-nm to 1566.31-nm with SMSR above 36 dB is demonstrated. Since the laser does not involve any grating or epitaxial regrowth, and has a simple tuning algorithm, it allows simpler processes for fabrication and testing as compared to other widely tunable laser structures. Compact TOSAs and SFP transceiver modules have been developed for full C-band tuning with up to 93 channels at 50 GHz spacing. Transmission experiments are carried out for direct modulation with data rates from 2.5 Gbps to 8.5 Gbps. The results of reliability tests of the modules are also presented

Landsman Converter Based Particle Swarm Optimization Technique

This paper proposes a novel control technique for landsman converter using particle swarm optimization. The controller parameters are optimized by pso algorithm,the proposed algorithm is compared with pid controller and the comparative results are presented. Simulation results shows the dynamic performance of pso controller. landsman converter reduction in output voltage ripple in the order of mV along with reduced settling time as compared to the conventional pid controller . The simulated results are executed in MATLAB/SIMULINK

Clinico-etiological profile of acute kidney injury in children admitted to paediatric intensive care unit of a tertiary care centre

Background: Acute Kidney Injury (AKI) refers to a reversible accumulation of urea, creatinine and nitrogenous waste products and disturbances in maintenance of fluid and electrolyte homeostasis. The incidence of AKI continues to increase in the Paediatric age group particularly in critically ill children with the etiology shifting from primary renal disorders to multifactorial cause. The objective of the study to determine the incidence, clinical profile and outcome of AKI in critically ill children using p-RIFLE criteria.Methods: A prospective observational study was done with 342 children aged between 1-12 years, admitted in Paediatric Intensive Care Unit (PICU) of Institute of Child Health and Research Centre, Madurai Medical College, Madurai during July 2015 to June 2016.Results: The overall incidence of AKI among critically ill children was 30.1%. The mortality rate was 43.7% and 20.7% patients with AKI had partial renal recovery at the time of discharge. 27.2% patients required renal replacement therapy (RRT). Infectious causes 57.3% (Sepsis, Meningoencephalitis, Bronchopneumonia) dominated the etiological profile.Conclusions: Incidence of AKI is high in critically-ill children. AKI continues to be associated with adverse outcomes, including high mortality and partial renal recovery

NFC Secured Offline Password Storage

In this paper is all about constructing a device called “One-WORD” that aims to solve this problem. One-word is an offline password keeper aimed at saving and encrypting the passwords in a more secure manner. The main device contains the encrypted passwords while a secure NFC smartcard and a personal pin-code allows the decryption. Even if an attacker is able to get hold the smartcard, or the device it is completely useless without the personal code.

WareWise: Business Development Management Framework based on Device-to-Device Industrial Internet of Things

Internet of Things (IoT) - empowered data framework arrangements are developing in different spaces, for example, remote social insurance, keen coordination’s, farming et cetera. In the mean time, Business Development Management Frameworks (BDMF) has turned out to be promising instruments for driving and overseeing gadgets inside IoT frameworks. Be that as it may, past works have not completely tended to how the IoT-based BDMF can proceed with their execution when the included IoT gadgets don't have a dependable Internet association. In this paper, we propose a framework outline for decentralized device to device (D2D) - based BD execution, where versatile hubs have the ability of both executing BDs additionally moving BD execution to different hubs amid runtime. We apply this plan to the field of shrewd coordination’s, keeping in mind the end goal to empower savvy products checking. The exhibited merchandise observing arrangement empowers responding to occasions when they happen, while likewise producing a hint of the checking execution history. A model concentrating on the movement usefulness of the stage has been actualized and tried to assess its execution with regards to the specified savvy coordination’s situation

Texture Classification Based on Empirical Wavelet Transform Using LBP Features

Automatic inspection systems become more importance for industries with high productive plans especially in texture industry. A novel approach to Local Binary Pattern (LBP) feature for texture classification is proposed in this system. At the first, the proposed Empirical Wavelet Transform (EWT) based texture classification is tested on gray scale and color images by using Brodatz texture images. The gray scale and color image is decomposed by EWT at 2 and 3 level of decomposition. LBP features are calculated for each empirical transformed image. Extracted features are given as input to the classification stage. K-NN classifier is used for classification stage. The result of the proposed system gives satisfactory classification accuracy of over 98% for all types of images

Yagi-Uda Antenna for Navigational Aids Using HFSS

In this paper, the ultra high frequency of yagi-uda antenna for navigational has been designed to improve the usable bandwidth by improving the stability of the radiation patterns. The frequency band of ultra high frequency is 300-3000 MHZ. The main aim of this paper is to reduce the loss, improve the gain and also to enhance the efficiency of ultra high frequency yagi-uda antenna for utilizing the navigational aids. The proposed UHF band of Yagi-Uda antenna has been designed by using ANSYS HFSS tool for the application of navigational aids. The characteristics specifications of yagi-uda antenna such as Radiation pattern, S11 (return loss), impedance matching and gain are analyzed in this work

Chaos Based Image Encryption

New method of secure image encryption and decryption scheme based on the chaos is proposed. There are two steps are followed after the preprocessing step in the proposed system namely, Encryption and Decryption. In preprocessing, images are denoised using median filter. Then the original input images will be encrypted by using the chaos mapping algorithm. At last the original images are retrieved back from the encrypted image by using the key that is specified during the encryption process for the decryption of the original images. Then the histogram mapping is done for the encrypted and the decrypted images. The proposed system is tested on well-known images like Lena, Mandrill, Clown and Barbara. The experimental results have demonstrated that the introduced image encryption scheme can achieve high security for practical image encryption

Implementation of Cloud Connected Smart Robot for Environmental and Industrial Platform

Cloud robotics is an emerging field that is centred on the benefits of converged infrastructure and shared services of a cloud computing environment. In this paper, a system is designed with an autonomous Pick and Place robot to sense environmental data such as temperature and Motion, along with GPS coordinates and sends them on the cloud. The mobile robot is controlled using an LPC1764 microcontroller and communicates with the cloud via a CC3200 Launchpad. A private cloud is set up using Open Stack that provides Infrastructure as a Service. The collected data are stored in a cloud server which could be viewed through a mobile app and can be used to create awareness about the environmental changes of the location under study. A proof-of-concept prototype has been developed to illustrate the effectiveness of the proposed system