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Undertaking an experience-sampling study via smartphones is complex. Scheduling and sending mobile notifications often requires the use of proprietary software that imposes limits on participants' operating systems (whether iOS or Android) or the types of questions that can be asked via the application. We have developed an open-source platform—Samply—which overcomes these limitations. Researchers can access the entire interface via a browser, manage studies, schedule and send notifications linking to online surveys or experiments created in any Internet-based service or software, and monitor participants' responses—all without the coding skills usually needed to program a native mobile application. Participants can download the Samply Research mobile application for free from Google Play or the App Store, join a specific study, receive notifications and web links to surveys or experiments, and track their involvement. The mobile application leverages the power of the React Native JavaScript library, which allows it to be rendered in the native code of Android and iOS mobile operating systems. We describe Samply, provide a step-by-step example of conducting an experience-sampling study, and present the results of two validation studies. Study 1 demonstrates how we improved the website's usability for researchers. Study 2 validates the mobile application's data recording ability by analyzing a survey's participation rate. The application's possible limitations and how mobile device settings might affect its reliability are discussed. [ABSTRACT FROM AUTHOR]

The AndroidA operating system builds upon already well-established permission systems but complements them by allowing application components to be reused within and across applications through a single communication mechanism, called the Intent mechanism. In this paper, we describe techniques that we developed for statically detecting Android application vulnerability to attacks that obtain unauthorized access to permission-protected information. We address three kinds of such attacks, known as confused deputy, permission collusion, and Intent spoofing. We show that application vulnerability to these attacks can be detected using taint analysis. Based on this technique, we developed PermissionFlow, a tool for discovering vulnerabilities in the byte code and configuration of Android applications. To enable PermissionFlow analysis, we developed a static technique for automatic identification of permission-protected information sources in permission-based systems. This technique identifies application programming interfaces (APIs) whose execution leads to permission checking and considers these APIs to be sources of taint. Based on this approach, we developed Permission Mapper, a component of PermissionFlow that improves on previous work by performing fully automatic identification of such APIs for Android JavaA code. Our automated analysis of popular applications found that 56% of the most popular 313 Android applications actively use intercomponent information flows. Among the tested applications, PermissionFlow found four exploitable vulnerabilities. By helping ensure the absence of inter-application permission leaks, we believe that the proposed analysis will be highly beneficial to the Android ecosystem and other mobile platforms that may use similar analyses in the future. [ABSTRACT FROM AUTHOR]

Flash storage is integrated for the first time on System zA as a card in the EC12 I/O drawer. This provides a number of functions and benefits in the immediate product, in addition to laying a foundation for further system benefits in future generations of System z systems. Enabling flash MLC (multilevel cell) technology as SCM (storage class memory) in an enterprise-class product required myriad diverse individual technological advances, together with a series of system design features. Extreme care and attention were paid to ensure that the required level of System z reliability was maintained. As with legacy I/O, the programming interface is subchannel-based. The subchannel programming interface is expanded with new architecture via the extended asynchronous-data-move facility. Operating system changes were required to enable exploitation of the features that this new system technology offers. These individual hardware, firmware, and software design aspects are described in this paper, along with the overall functionality and system-level value of this new technology. [ABSTRACT FROM AUTHOR]

Tinnitus is a complex and heterogeneous psycho-physiological disorder responsible for causing a phantom ringing or buzzing sound albeit the absence of an external sound source. It has a direct influence on affecting the quality of life of its sufferers. Despite being around for a while, there has not been a cure for tinnitus, and the usual course of action for its treatment involves use of tinnitus retaining and sound therapy, or Cognitive Behavioral Therapy (CBT). One positive aspect about these therapies is that they can be administered face-to-face as well as delivered via internet or smartphone. Smartphones are especially helpful as they are highly personalized devices, and offer a well-established ecosystem of apps, accessible via respective marketplaces of differing mobile platforms. Note that current therapeutic treatments such as CBT have shown to be effective in suppressing the tinnitus symptoms when administered face-to-face, their effectiveness when being delivered using smartphones is not known so far. A quick search on the prominent market places of popular mobile platforms (Android and iOS) yielded roughly 250 smartphone apps offering tinnitus-related therapies and tinnitus management. As this number is expected to steadily increase due to high interest in smartphone app development, a contemporary review of such apps is crucial. In this paper, we aim to review scientific studies validating the smartphone apps, particularly to test their effectiveness in tinnitus management and treatment. We use the PRISMA guidelines for identification of studies on major scientific literature sources and delineate the outcomes of identified studies. [ABSTRACT FROM AUTHOR]