The Return of the Nativist? Why did anti-migrant parties emerge and succeed in Mumbai, fail in Bangalore, and not even emerge in Delhi?

Migration as well as group conflict has occurred throughout history. This thesis examined why in response to internal migration to Mumbai, Bangalore, and Delhi there are varying levels of nativism. The level of nativism was found to be high in Mumbai, medium in Delhi, and low in Bangalore. Anti-migrant sentiment was explained by political competition in Mumbai, class prejudice in Delhi, and an overlaying of class and ethnic conflict in Bangalore. I conclude that mobilization against migrants is easiest when they are largely of a specific regional or ethnic background, that there is a tipping point beyond which opposing migrants is electoral suicide, and that taken together these suggest a window of opportunity for nativist mobilization. Thirdly, the success of nativist parties is a function of the strength of national parties at the state and local level

Rapid, Reliable Tissue Fractionation Algorithm for Commercial Scale Biorefineries

Increasing demand, limited supply, and the impact on the environment raise significant concerns about the consumption of fossil fuels. Because of this, global economies are facing two significant energy challenges: i) securing the supply of reliable and affordable energy and ii) achieving the transformation to a low-carbon, high-efficiency, and sustainable energy system. Recently, there has been growing interest in developing portable transportation fuels from biomass in order to reduce the petroleum consumption in the transportation sector - a major contributor to greenhouse gas emission. A cost-effective conversion process to produce biofuels from lignocellulosic biomass material relies not just on the material quality, but also on the biorefinery’s ability to measure the quality of the source biomass. The quality of the feedstock is crucial for a commercially viable conversion platform. This research mainly focuses on developing sensing techniques using 3D X-ray imaging to study quality factors like material composition, ash content and moisture content which affect the conversion efficiency, equipment wear, and product yield in the bioethanol production in a real-time or near real-time basis

A Comparative Study between a Simulation of Machine Learning and Extreme Learning Machine Techniques on Breast Cancer Diagnosis

Breast Cancer is a developing and most normal disease among ladies around the globe. Breast malignancy is an uncontrolled and exorbitant development of abnormal cells in the Breast because of hereditary, hormonal, and way of life factors. During the starting stages, the tumor is restricted to the Breast, and in the latter part, it can spread to lymph hubs in the armpit and different organs like the liver, bones, lungs, and cerebrum. At the point when the bosom disease spreads to different pieces of the body, it is going to metastasize. The sickness is repairable in the beginning periods, yet it is identified in later stages, which is the fundamental driver for the passing of such a large number of ladies in this entire world. Clinical tests led in medical clinics for deciding the malady are a lot of costly, just as tedious as well

Incentive Analysis of Blockchain Technology

Blockchain technology was invented in the Bitcoin whitepaper released in 2008. Since then, several decentralized cryptocurrencies and applications have become mainstream. There has been an immense amount of engineering effort put into developing blockchain networks. Relatively few projects backed by blockchain technology have succeeded and maintained a large community of developers, users, and customers, while many popular projects with billions of dollars in funding and market capitalizations have turned out to be complete scams. This thesis discusses the technological innovations introduced in the Bitcoin whitepaper and the following work of the last fifteen years that has enabled blockchain technology. A complete implementation of a blockchain network and cryptocurrency based on first principles is presented in order to illustrate the design and technical choices that have to be made while implementing a blockchain. To understand the incentives that drive the adoption of blockchain technology, two successful blockchain projects, Crypto Kitties, which is a Non-Fungible Token (NFT) project based on the ERC-721 specification and Helium, are analysed as case studies. These case studies first examine how these projects leveraged blockchain technology from a technical standpoint, followed by a discussion of the incentives that were built into the projects, which allowed millions of users to participate in these networks and create value. The economic incentives created by Crypto-assets which are a combination of cryptocurrency and tokens, are explored. The purpose of this thesis is to provide an informational overview of the incentives and technical choices driving the development and adoption of blockchain technology

Survey of applications of WBG devices in power electronics

Master of ScienceDepartment of Electrical and Computer EngineeringBehrooz MirafzalWide bandgap devices have gained increasing attention in the market of power electronics for their ability to perform even in harsh environments. The high voltage blocking and high temperature withstanding capabilities make them outperform existing Silicon devices. They are expected to find places in future traction systems, electric vehicles, LED lightning and renewable energy engineering systems. In spite of several other advantages later mentioned in this paper, WBG devices also face a few challenges which need to be addressed before they can be applied in large scale in industries. Electromagnetic interference and new requirements in packaging methods are some of the challenges being faced by WBG devices. After the commercialization of these devices, many experiments are being carried out to understand and validate their abilities and drawbacks. This paper summarizes the experimental results of various applications of mainly Silicon Carbide (SiC) and Gallium Nitride (GaN) power devices and also includes a section explaining the current challenges for their employment and improvements being made to overcome them

Robust Online Speed Scaling With Deadline Uncertainty

A speed scaling problem is considered, where time is divided into slots, and jobs with payoff v arrive at the beginning of the slot with associated deadlines d. Each job takes one slot to be processed, and multiple jobs can be processed by the server in each slot with energy cost g(k) for processing k jobs in one slot. The payoff is accrued by the algorithm only if the job is processed by its deadline. We consider a robust version of this speed scaling problem, where a job on its arrival reveals its payoff v, however, the deadline is hidden to the online algorithm, which could potentially be chosen adversarially and known to the optimal offline algorithm. The objective is to derive a robust (to deadlines) and optimal online algorithm that achieves the best competitive ratio. We propose an algorithm (called min-LCR) and show that it is an optimal online algorithm for any convex energy cost function g(.). We do so without actually evaluating the optimal competitive ratio, and give a general proof that works for any convex g, which is rather novel. For the popular choice of energy cost function g(k) = k^alpha, alpha >= 2, we give concrete bounds on the competitive ratio of the algorithm, which ranges between 2.618 and 3 depending on the value of alpha. The best known online algorithm for the same problem, but where deadlines are revealed to the online algorithm has competitive ratio of 2 and a lower bound of sqrt{2}. Thus, importantly, lack of deadline knowledge does not make the problem degenerate, and the effect of deadline information on the optimal competitive ratio is limited

Resource Allocation Policy for Virtualized Network Interfaces

Over the last decade, virtualization has gained widespread importance. Virtual Machines (VMs) can now share network access in hardware, or in software or in a hybridized way. Input/Output (IO) virtualization technologies based on software utilize emulation technique, but this requires Virtualization Manager which presents central processing overhead in a significant amount. Besides, each IO operation in turn poses overhead additionally and any supported advanced capabilities inherent of physical hardware are not utilized properly. Some direct assignment based IO virtualization technologies suffer from limitations to scalability. The support for Quality of Service (QoS) may be offered within the software layers at the Virtualization Manager or Guest Operating System level which interact with the IO device that is being shared. With a preliminary investigation of the functionality of the RiceNIC (an open standard platform meant for research and education into concurrent network interface design), a study of the various network interface technologies supporting IO device virtualization was carried out to precisely understand IO virtualized network interfaces. The project describes a resource allocation policy for the on-device memory of the IO device being shared, taking the instance of a complex IO device, i.e., a Network Interface Controller(NIC) supporting a reconfigurable virtualized network interface architecture design which endures multiple reconfigurable virtualized network interfaces working independently using a reconfigurable partitioned memory. It enhances the scalability of the IO device

A Leech Application in Post Covid Thrombosed Hemorrhoids with Increased D'dimer Level - Case Study

One of the main risks associated with infection by the novel corona virus (COVID-19) are thrombotic or circulatory complications. The coagulopathy with COVID-19 is a result of the Systemic inflammatory response to SARS-CoV-2 infection, this systemic inflammatory response to the Covid 19 Virus, there is injury to the vascular endothelial lining. Vertical veins e.g., hemorrhoidal veins   are more prone for this type of injury resulting in thrombosis in hemorrhoidal veins. Leech saliva acts at both the site anti-inflammatory enzymes in the saliva of leech prevents further vascular injuries on the other hand it also thrombolyse blood clots within the vessels and thus helps to reduce the D’Dimer levels also. Series of few patients of post covid thrombosis (thrombosed hemorrhoids) were subjected to leech application which gave encouraging results. It showed remarkable decrease in D’dimer and thrombosis also

Studies on mechanical behavior of glass epoxy composites with induced defects and correlations with NDT characterization parameters

Degradation in mechanical properties (compression, flexural and ILS) of glass epoxy composite laminates with induced defects (simulating delaminations) was studied. The defects were characterized by using the A-scan ultrasonic pulse-echo technique. The two A-scan parameters, viz. the back wall echo amplitude and time of flight, were followed respectively, as functions of the defect size (diameter) and its location in the laminate thickness. The mechanical properties of laminates were evaluated destructively for different defect sizes and locations. An attempt has been made to express the mechanical properties in terms of the two NDT scan parameters characterizing the defects and empirical equations presente