MUSCLE: A Simulation Toolkit Modeling Low Energy Muon Beam Transport in Crystals

The project involves the development of MUSCLE (MUonS Cascade at Low Energy), a collection of programs written in C++ and Mathematica to numerically simulate the passage of low energy muon beams through crystals. Monte Carlo methods employing binary collision approximation calculations and appropriate molecular dynamics algorithms are implemented to construct the trajectories and determine the spatial distribution of stopped muons in single crystals. Channeling of muon particles along certain crystal planes are also found. Binary collision approximation and molecular dynamics algorithms are compared and the possible effect of channeling is discussed

Master of Science

thesisIt is common to extract isosurfaces from simulation eld data to visualize and gain understanding of the underlying physical phenomenon being simulated. As the input parameters of the simulation change, the resulting isosurface varies, and there has been increased interest in quantifying and visualization of these variations as part of the larger interest in uncertainty quantification. In this thesis, we propose an analysis and visualization pipeline for examining the intrinsic variation in isosurfaces caused by simulation parameter perturbation. Drawing inspiration from the shape modeling community, we incorporate the use of heat-kernel signatures (HKS) with a simple nite-difference approach for quantifying the degree to which a region (or even a point) on an isosurface has undergone intrinsic change. Coupled with a clustering technique and the use of color maps, our pipeline allows the user to select the level of fidelity with which they wish to evaluate and visualize the amount of intrinsic change. The pipeline is described with a simple example to walk the reader through the different steps, and experimental validation of parameter choices in the pipeline is provided to justify our design. Then we present canonical and simulation examples to demonstrate the pipeline's use in different applications

The nano world of Munir Nahfey

The objective of this chapter is to find out the achievement of Munir Nayfeh in Particle Physics as well as in Nanotechnology. The significance of this chapter proves Nayfeh as one of the pioneers of this field and his contribution has taken the world in to another sphere of Nanotechnology. The methodology has been taken in this chapter are from Internet information, Scientific journals and books

A Long-acting Ocular Lubricant Eye Drop based on Dextran Hydrogel Nanoparticles

Dry eye disease is a highly prevalent condition that affects hundreds of millions of people worldwide. In moderate to severe cases, affected individuals experience considerable difficulty in carrying out their day-to-day activities due to discomfort and pain, and may even develop symptoms of depression. Ocular lubricants (sometimes referred to as artificial tears) are the most widely-used method of dry eye management. Despite being available over-the-counter and in myriad varieties and brands, current formulations all suffer from either short duration of action or high inconvenience due to vision obstruction, unwanted residue, and/or invasiveness. There is therefore great need for long-lasting, inconspicuous, and convenient ocular lubricant formulations to address the shortcomings of current market offerings. This thesis describes the development of a novel ocular lubricant technology based on mucoadhesive dextran hydrogel nanoparticles (DH-NPs) that shows considerable promise in addressing these needs. The nanoparticles feature a dextran hydrogel core and are capable of sustained release of ocular lubricant. The nanoparticles are also modified to impart mucoadhesion and are thereby expected to be retained on the ocular surface for approximately 24 hours. By continuously releasing lubricant during this time, DH-NPs are anticipated to provide long-lasting and more effective DED symptom relief than the ocular lubricants currently on the market. In addition to the methods of DH-NP synthesis and characterization, various parameters capable of tuning key properties such as diameter, synthesis yield, PBA conjugation, and mucoadhesion strength are described herein. In vitro release experiments were also performed to characterize the kinetics of ocular lubricant release from DH-NPs. Various parameters that affect release rate and quantity were identified to enable tuning and optimization towards achieving the ideal clinical ocular lubricant dose. An acute in vivo biocompatibility study was also performed using a rabbit model, in which the novel formulation was well-tolerated. Overall, DH-NPs were found to be a highly promising technology for DED treatment, and further development towards clinical evaluation is recommended

Qualitative analysis on watermarking algorithm for large resolution camera phone image

The Digital Water Marking (DWM) algorithm is used to serve security of image, audio and video data. Now days, it has been being used to keep the privacy and resist the intruders and piracy. Our mobile phone is a very important personal material for daily choir. We keep personal data and can pick photo and store it in our cell memory. Sometimes important personal photos could be copied or taken by others via blue tooth. To resist such kind of intruding it’s important to have a security system in those mobile phones. Beside that the robustness and strong security are also needed by using easy techniques. The aim of this paper is to analyze on a Robust Watermark Technique (RWT) which can be easier; more secured and can be embedded by mobile phone itself. It will have invisible water mark and any size will be easily embedded by the software