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.

Lie Group Analysis of Nanofluid Slip Flow with Stefan Blowing Effect via Modified Buongiorno’s Model: Entropy Generation Analysis

Abstract: This article presents a detailed theoretical and computational analysis of alumina and titania-water nanofluid flow from a horizontal stretching sheet. At the boundary of the sheet (wall), velocity slip, thermal slip and Stefan blowing effects are considered. The Pak-Cho viscosity and thermal conductivity model is employed together with the non-homogeneous Buongiorno nanofluid model. The equations for mass, momentum, energy and nanoparticle species conservation are transformed via Lie-group transformations into a dimensionless system. The partial differential boundary value problem is therefore rendered into nonlinear ordinary differential form. With appropriate boundary conditions, the emerging normalized equations are solved with the semi-numerical homotopy analysis method (HAM). To consider entropy generation affects a second law thermodynamic analysis is also carried out. The impact of some physical parameters on the skin friction, Nusselt number, velocity, temperature and entropy generation number (EGM) are represented graphically. This analysis shows that diffusion parameter is a key factor to retards the friction and rate of heat transfer at the surface. Further, temperature of fluid decreases for the higher value of thermal slip parameter. In addition, EGM enhances with nanoparticles ambient concentration and Reynolds number. A numerical validation of HAM results is also included. The computations are relevant to thermodynamic optimization of nano-material processing operations.

Epithelial Mesenchymal Transition and Vascular Mimicry in Breast Cancer Stem Cells

Abstract: Vasculogenic mimicry (VM), a newly defined pattern of tumor microvascularization differs from angiogenesis and vasculogenesis in its noninvolvement of endothelial cells, by which highly aggressive tumor cells can form vessel-like structures themselves, because of their high plasticity. The presence of VM has been shown to be strongly associated with a poor prognosis in several types of cancer, but biological features of tumor cells that form VM remains unknown. Human breast cancer, characterized by a group of highly heterogeneous lesions, is the most common cancer in women and one of the leading causes of cancer-related deaths worldwide. The epithelialmesenchymal transition (EMT) state in breast cancer has been associated with cancer stem cell (CSC) properties, self-renewal capabilities, resistance to conventional therapies, and a tendency for posttreatment recurrence. With increasing knowledge about cancer stem cell phenotypes and functions, they are implicated in VM formation. Studies also indicate that EMT is relevant to the acquisition and maintenance of stem cell-like characteristics and is involved in VM. This review discusses the correlation between CSCs, EMT, and VM formation with a focus on breast cancer. Also, the signalling molecules and pathways involved in VM and some recently defined direct VM targeting strategies in breast cancer are reviewed here.

Substitution driven structural and magnetic properties and evidence of spin phonon coupling in Sr-doped BiFeO3 nanoparticles

Abstract: The manifestation of dimensionalities and Sr induced modifications in structural, vibrational and magnetic properties of Bi1−xSrxFeO3; (x = 0–0.25) nanoparticles synthesized by a tartaric acid based sol–gel route are reported. X-ray diffraction and electron microscopy studies reveal the phase purity and nanocrystalline nature (45–90 nm) of Bi1−xSrxFeO3 samples. The Sr ions substitution motivated the coexistance of rhombohedral (R3c) and pseudo tetragonal (P4/mmm) structural symmetry for the x = 0.25 sample which leads to enhancement of saturation magnetization due to the distorted cycloid spin structure and uncompensated surface spins, which is in concomitance with the electron paramagnetic resonance (EPR) and Mossbauer studies. The ferromagnetic ordering contribution continuously increases with increasing Sr content from x = 0–0.25 samples with a maximum saturation magnetization of 0.72 emu g−1 for the x = 0.25 sample which is also endorsed by second order Raman modes. X-ray photoelectron and Mossbauer measurements confirmed the dominance of the Fe3+ oxidation state. Alteration in QS hyperfine parameters and line-width analysis have been probed by Mossbauer analysis with increasing Sr content in BiFeO3 nanoparticles suggesting the destruction of the spin cycloid.

Outlier Detection and Treatment for Lightweight Mobile Ad Hoc Networks

Abstract: This work is to detect and prevent unprecedented data identified from lightweight resource constraint mobile sensor devices. In this work, event or error detection technique of Traag et. al., local-global outlier algorithm of Branch et. al., Teo and Tan’s protocol of group key management and Cerpa et. al protocol of Frisbee construction are integrated and modified for lightweight resource constraint devices [20][22]-[24]. The proposed technique in this work is better than other techniques because of: (a) scalability, (b) optimization of resources, (c) energy efficient and (d) secure in terms of collision resistant, compression, backward and forward secrecy. The deviations in modified form of proposed mechanism are corrected using virtual programmable nodes and results show that proposed scheme work with zero probability of error and attack.

Performance analysis of Bloch surface wave-based sensor using transition metal dichalcogenides

Abstract: In this manuscript, a highly sensitive Bloch surface wave (BSW)-based sensor is proposed for refractive index sensing analysis. The structure is designed using an one-dimensional photonic crystal (1D-PhC) structure. A top defective layer of transition metal dichalcogenides (TMDC) material with atomic layer thickness is introduced to confine a Bloch mode analogues to surface plasmon-like mode at the top interface. The detailed analysis is carried out to investigate the impact of number of TMDC monolayers on sensing performance. The wavelength (angular) interrogation provides the significant higher sensitivity of around 9650 nm/RIU (or 231°/RIU). Besides the sensitivity, the rigorous analysis of full-width-half-maximum (FWHM) and figure-of-merit (FOM) is also carried out and a FOM of around 48,250/RIU (38,500/RIU) has been reported. The proposed design possesses the advantage in terms of easy fabrication and integration capability to develop handheld senor systems, especially for biological and chemical sensing.