Point modules of quantum projective spaces

In this note we give an explicit description of the irreducible components of the reduced point varieties of quantum polynomial algebras.Comment: 4 pages, a short not

The point variety of quantum polynomial rings

We show that the reduced point variety of a quantum polynomial algebra is the union of specific linear subspaces in $\mathbb{P}^n$, we describe its irreducible components and give a combinatorial description of the possible configurations in small dimensions.Comment: 10 pages, an extended version of arxiv.org/abs/1506.0651

In-Vivo Bytecode Instrumentation for Improving Privacy on Android Smartphones in Uncertain Environments

In this paper we claim that an efficient and readily applicable means to improve privacy of Android applications is: 1) to perform runtime monitoring by instrumenting the application bytecode and 2) in-vivo, i.e. directly on the smartphone. We present a tool chain to do this and present experimental results showing that this tool chain can run on smartphones in a reasonable amount of time and with a realistic effort. Our findings also identify challenges to be addressed before running powerful runtime monitoring and instrumentations directly on smartphones. We implemented two use-cases leveraging the tool chain: BetterPermissions, a fine-grained user centric permission policy system and AdRemover an advertisement remover. Both prototypes improve the privacy of Android systems thanks to in-vivo bytecode instrumentation.Comment: ISBN: 978-2-87971-111-

The Truth Behind Fast Fashion: A Solution to the Issue

This paper acknowledges the dominance of large fast fashion retailers in the clothing market. Due to globalization, there have been significant changes over the years as a result of their implementation of the clothing industry. This paper reveals that retailers have held enormous amounts of wealth and power without any oversight. Permitting them to profit from the absence of rules and laws everywhere in the world. A market with perfect competition has been drastically changed to one where maximizing opportunities for profit is the only goal. The industry has suffered greatly as a result of their willingness to pursue such gains, and this shift has created enormous problems. We come to the conclusion that more policies must be put into place in order to balance a competitive market populated by retailers like Zara and H&M

Understanding WPI Recycling Effort

In the 2017-2018 academic year, WPI recycled 23% of all disposables. To get an understanding of the WPI community, we sent a survey to students and faculty at WPI. We then examined the WPI recycling efforts in 2016 and 2017 using waste audit data collected from WPIs annual waste audit in each respective year. The result of our findings indicated that less than half of the commonly used recyclable materials were properly recycled. Based on our previous findings, we interviewed students at WPI on their opinion on why people do not recycle. As a result of those interviews, we found that a majority of the students believed that carelessness was the main reason. Our research concluded that WPI students and facultys carelessness is the primary reason for such underwhelming recycling effort

A Bayesian approach for inferring the dynamics of partially observed endemic infectious diseases from space-time-genetic data

We describe a statistical framework for reconstructing the sequence of transmission events between observed cases of an endemic infectious disease using genetic, temporal and spatial information. Previous approaches to reconstructing transmission trees have assumed all infections in the study area originated from a single introduction and that a large fraction of cases were observed. There are as yet no approaches appropriate for endemic situations in which a disease is already well established in a host population and in which there may be multiple origins of infection, or that can enumerate unobserved infections missing from the sample. Our proposed framework addresses these shortcomings, enabling reconstruction of partially observed transmission trees and estimating the number of cases missing from the sample. Analyses of simulated datasets show the method to be accurate in identifying direct transmissions, while introductions and transmissions via one or more unsampled intermediate cases could be identified at high to moderate levels of case detection. When applied to partial genome sequences of rabies virus sampled from an endemic region of South Africa, our method reveals several distinct transmission cycles with little contact between them, and direct transmission over long distances suggesting significant anthropogenic influence in the movement of infected dogs