Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Comparative Characterization of Cardiac Development Specific microRNAs: Fetal Regulators for Future.

Abstract: MicroRNAs (miRNAs) are small, conserved RNAs known to regulate several biological processes by influencing gene expression in eukaryotes. The implication of miRNAs as another player of regulatory layers during heart development and diseases has recently been explored. However, there is no study which elucidates the profiling of miRNAs during development of heart till date. Very limited miRNAs have been reported to date in cardiac context. In addition, integration of large scale experimental data with computational and comparative approaches remains an unsolved challenge.The present study was designed to identify the microRNAs implicated in heart development using next generation sequencing, bioinformatics and experimental approaches. We sequenced six small RNA libraries prepared from different developmental stages of the heart using chicken as a model system to produce millions of short sequence reads. We detected 353 known and 703 novel miRNAs involved in heart development. Out of total 1056 microRNAs identified, 32.7% of total dataset of known microRNAs displayed differential expression whereas seven well studied microRNAs namely let–7, miR–140, miR–181, miR–30, miR–205, miR–103 and miR–22 were found to be conserved throughout the heart development. The 3’UTR sequences of genes were screened from Gallus gallus genome for potential microRNA targets. The target mRNAs were appeared to be enriched with genes related to cell cycle, apoptosis, signaling pathways, extracellular remodeling, metabolism, chromatin remodeling and transcriptional regulators. Our study presents the first comprehensive overview of microRNA profiling during heart development and prediction of possible cardiac specific targets and has a big potential in future to develop microRNA based therapeutics against cardiac pathologies where fetal gene re-expression is witnessed in adult heart.

Design and Investigation of Dielectrically Modulated Dual-Material Gate-Oxide-Stack Double-Gate TFET for Label-Free Detection of Biomolecules

Abstract: This article investigates the applicability of dual-material gate-oxide-stack double-gate tunnel field effect transistor (DMGOSDG-TFET) as a biosensing element with the ability to assess the health parameters and disease onset. For this, employment of gate work-function engineering along with the gate-oxide-stack approach and asymmetrical doping at ${p}^{+}$ source and ${n}^{+}$ drain region are introduced for the first time to implement DMGOSDG-TFET-based biosensor. Also, a nanogap cavity is created by etching a portion of gate dielectric material toward the source end for the accomplishment of biomolecules conjugation in the proposed device. The main focus of this article is to estimate the underlying device sensitivity in the presence of different charged as well as neutral biomolecules. To explore such effects, different dielectric constants and negative charge densities of the biomolecules are considered independently in the nanogap cavity. Next, the sensing performance of the presented device is analyzed in terms of switching-ratio ( ${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ ), transconductance-to-current ratio ( ${g}_{m}/{I}_{ds}$ ), and average subthreshold-swing. A deep investigation of device performance is also performed with different fillings of the nanogap cavity and step-profiles arising out from the steric hindrance. The device sensitivity is analyzed for different cavity lengths and cavity thicknesses for the best outcomes. In addition, a comparative sensitivity analysis of DMGOSDG-TFET with single-material gate-oxide-stack double-gate tunnel field effect transistor (SMGOSDG-TFET) and metal–oxide–semiconductor field effect transistor (MOSFET)-based biosensor is also presented in this work. The device implementation and all the simulations are carried out using technology computer-aided design (TCAD) tool. All of the sensitivity-assessments disclose that DMGOSDG-TFET can be a good candidate for biosensing applications.

Generic Models for Engineering Methods of Diverse Domains

Abstract: The 3-layer architecture for methods consisting of the generic model, meta-model, and method layers is considered and the advantages of introducing the generic layer are brought out. It is argued that this layer helps in method selection, construction of methods in diverse domains and has the potential of rapidly engineering methods. A generic model is introduced and then instantiated from meta-models from the Information Systems and Robotics and Project Planning domains. Thereafter methods are produced by an instantiation of these meta-models. Computer based support for the 3-layer architecture is considered and notion of a generic-CASE tool is introduced.

Which Verification for Soft Error Detection

Abstract: Many methods are available to detect silent errors in high-performance computing (HPC) applications. Each comes with a given cost and recall (fraction of all errors that are actually detected). The main contribution of this paper is to characterize the optimal computational pattern for an application: which detector(s) to use, how many detectors of each type to use, together with the length of the work segment that precedes each of them. We conduct a comprehensive complexity analysis of this optimization problem, showing NP-completeness and designing an FPTAS (Fully Polynomial-Time Approximation Scheme). On the practical side, we provide a greedy algorithm whose performance is shown to be close to the optimal for a realistic set of evaluation scenarios.

Linear optics-based entanglement concentration protocols for cluster-type entangled coherent state

Abstract: We proposed two linear optics-based entanglement concentration protocols (ECPs) to obtain maximally entangled 4-mode cluster-type entangled coherent state (ECS) from less (partially) entangled cluster-type ECS. The first ECP is designed using a superposition of single-mode coherent state with two unknown parameters, whereas the second ECP is obtained using a superposition of single-mode coherent state and a superposition of two-mode coherent state with four unknown parameters. The success probabilities have been calculated for both the ECPs. The necessary quantum circuits enabling future experimental realizations of the proposed ECPs are provided using linear optical elements. Further, the benefit of the proposed schemes is established in the context of long-distance quantum communication where photon loss is an obstruction.