Linde CI, Baryshnikov SG, Mazzocco-Spezzia A, Golovina VA. Dysregulation of Ca signaling in astrocytes from mice lacking amyloid precursor protein. Am J Physiol Cell Physiol 300: C1502–C1512, 2011. First published March 2, 2011; doi:10.1152/ajpcell.00379.2010.—The relationship between altered metabolism of the amyloidprecursor protein (APP) and Alzheimer’s disease is well established but the ph...

In this paper, we study the app store as a phenomenon from developers' perspective to investigate extent which stores affect software engineering tasks. Through developer interviews and questionnaires, uncover findings that highlight quantify effects of three high-level themes: bridging gap between developers users, increasing market transparency affecting mobile release management. Our have im...

This paper argues that App Store Analysis can be used to understand the rich interplay between app customers and their developers. We use data mining to extract price and popularity information and natural language processing and data mining to elicit each app’s claimed features from the Blackberry App Store, revealing strong correlations between customer rating and popularity (rank of app down...

Product recommendation systems have been widely adopted in e-commerce to improve product visibility and promote sales. This study examines the effect of recommendation system in the increasingly popular mobile app market, which is uniquely characterized with its multitude of product choices and the prevailing use of the freemium model. We constructed a panel dataset using a wide range of daily ...

Mobile technologies and more precisely apps have disrupted technology scenario. Bring your own application (BYOA) is a new trend that has emerged after the “bring your own device” (BYOD) vogue. However, and in spite of its intrinsic benefits, the trend presents also several caveats and Enterprise app stores are seen as a way to tackle these risks. In this paper, authors present ModEAS, a system...

This paper examines the effects of consumer search costs on entry, product design, and quality in online markets. Using 2012-2014 data from the Google Play mobile app store, I take advantage of a natural experiment that reduced search costs for one product type (game apps) in early 2014. Difference-indifferences estimates show that entry increased by 33% relative to the control group (non-games...

Neural embedding techniques are being applied in a growing number of machine learning applications. In this work, we demonstrate a neural embedding technique to model users’ session activity. Specifically, we consider a dataset collected from Microsoft’s App Store consisting of user sessions that include sequential click actions and item purchases. Our goal is to learn a latent manifold that ca...

Modern mobile devices store an abundance of information. However, users do not yet obtain satisfactory support for controlling what applications do with their personal data. In this article, we propose Cassandra, a tool that allows users to verify Android apps against their security needs before installation. Cassandra implements the core functionality of a conventional app store, augmented wit...

MapXplore is an attempt to build a mainstream, useful, and easy to use application that uses linked data at its core. As such, it will be one of very few such apps on the Apple, or for that matter any of the mobile app stores. The purpose of the application is to allow users to browse any part of the globe, and identify points of interest from DBPedia articles. They can then drill down into tra...

In recent years there has been a growing interest in the Internet-of-Things (IoT), leading to an expanding number of wireless environment and application domains in which IoT deployments are realized. Over the course of its lifetime, an IoT device will be exposed to different environments and varying demands in terms of network throughput, latency, power consumption, etc. For instance, consider...