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Prediction of vacuum cleaner motor brush life : a regression approach

The main focus of this paper is the empirical modelling of the wear of carbon brushes. Rather than determining the dominant wear mechanisms, an approach towards the prediction of wear under a range of different conditions was used. The models were obtained by multiple regression analysis using lifetime (LT) data contributed by the biggest European manufacturer of vacuum cleaner motors. This includ

Gender Differences and Associated Factors Influencing Problem Gambling in Adolescents in Sweden : Cross-sectional Investigation

BACKGROUND: Although gambling disorder is traditionally considered an adult phenomenon, the behavior usually begins in childhood or adolescence.OBJECTIVE: The aim of this study was to explore the frequency of problem gambling among Swedish adolescents and the suspected associated factors.METHODS: This study was based on data collected through a public health survey distributed in 2016 to pupils in

Territories, Environments, Politics : Explorations in Territoriology

This collection seeks to illustrate the state of the art in territoriological research, both empirical and theoretical. The volume gathers together a series of original, previously unpublished essays exploring the newly emerging territorial formations in culture, politics and society.While the globalisation debate of the 1990s largely pivoted around a ‘general deterritorialisation’ hypothesis, sin

High-throughput spectroscopy of semiconductor nanowires in the presence of inhomogeneity

Controllable doping in semiconductor nanowires is essential for development of optoelectronic devices. Despite great progress, a fundamental challenge remains in controlling the uniformity of doping, particularly in the presence of relatively high levels of geometrical inhomogeneity in bottom-up growth. A relatively high doping level of 1E18 cm-3 corresponds to just ~1000 activated dopants in a 2µ

Chemically Recyclable Poly(β-thioether ester)s Based on Rigid Spirocyclic Ketal Diols Derived from Citric Acid

Incorporating rigid cyclic acetal and ketal units into polymer structures is an important strategy towards high-performance materials from renewable resources. In the present work, citric acid, a widely used platform chemical derived from biomass, has been efficiently converted into diand tricyclic diketones. Ketalization with glycerol or trimethylolpropane afforded rigid spirodiols, which were ob

TrueTime : Simulation Tool for Performance Analysis of Real-Time Embedded Systems

Embedded systems and networked embedded systems play an increasingly important role in today’s society. They are often found in consumer products (e.g., in automotive systems and cellular phones), and are therefore subject to hard economic constraints. The pervasive nature of these systems generates further constraints on physical size and power consumption. These product-level constraints give ri

SUBLINEAR CONVERGENCE OF A TAMED STOCHASTIC GRADIENT DESCENT METHOD IN HILBERT SPACE

In this paper, we introduce the tamed stochastic gradient descent method (TSGD) for optimization problems. Inspired by the tamed Euler scheme, which is a commonly used method within the context of stochastic differential equations, TSGD is an explicit scheme that exhibits stability properties similar to those of implicit schemes. As its computational cost is essentially equivalent to that of the w

Assessing the structural and dynamical properties of concentrated solutions of the disordered proteins Histatin 5 and its tandem repeat

Intrinsically disordered proteins are distinguished by a lack of distinct three-dimensional structure, existing instead as an ensemble of heterogenous structures. In this research, the effect of crowding on these proteins is investigated using a combined approach of experiment and computer simulation, mainly using coarse-grained simulation models to make simulation computationally feasible at the

A multiscale analysis of multi-agent coverage control algorithms

This paper presents a theoretical framework for the design and analysis of gradient descent-based algorithms for coverage control tasks involving robot swarms. We adopt a multiscale approach to analysis and design to ensure consistency of the algorithms in the large-scale limit. First, we represent the macroscopic configuration of the swarm as a probability measure and formulate the macroscopic co

AMCIS 2018 New Orleans Paper Submission Why Marginalized Groups Struggle to Leverage Digital Activism

Digital activism, political activism mediated by digital technologies, offers the promise of increased visibility and political power for marginalized groups. Yet, this has not been the case outside of a few exceptions such as Black Lives Matter. This paper offers theoretical, conceptual critical research that explores why successful digital activism may elude marginalized groups. We ask why many