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Major Depressive Disorder Detection and Monitoring Using Smart Wearable Devices with Multi-Feature Sensing
Published in Govind Singh Patel, Seema Nayak, Sunil Kumar Chaudhary, Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare, 2023
Shamla Mantri, Seema Nayak, Ritom Gupta, Pranav Bakre, Pratik Gorade, Vignesh Iyer
We developed a web application which tacitly can run across several browsers including Google Chrome, Safari, and Firefox. Additionally, it can also be used as a native app by virtue of its progressive web application (PWA) features, so users can also install it on their devices without having to continuously remember and search for the URL. The application is a portal to collect response and health measurement data from users at varying periods. It can thus assess a patient’s state of mind, thrice a day, from a randomized subset of three questions from the DSM-5 standardized PHQ-9 questionnaire, chosen for its cogency across various platforms. A browser-based implementation helps us in easing the process of data capturing across differing web and native app platforms, along with enabling us to collect variability of symptoms across days, and accurately represent intraindividual symptoms and their variation.
Revealing the Web of Cloud Computing
Published in T. Ananth Kumar, T. S. Arun Samuel, R. Dinesh Jackson Samuel, M. Niranjanamurthy, Privacy and Security Challenges in Cloud Computing, 2022
M. Satheesh Kumar, Jalel Ben-Othman, B. Sheik Mohamed, A. Shenbagavalli
The concept of cloud in cloud computing is a metaphor for the Internet, similar to how real clouds collect water particles. It is a highly advanced data centre that provides data storage and security, and builds collaboration between employees. While decreasing the cost, it leads to making better decisions and changes the progress of small-scale businesses to large entrepreneurs [1]. The workload is managed by the networks that form the cloud, which is why the workload on the host machine is not too high while running an application. As a result, the user’s demand for software and hardware remains reduced [2]. To make use of cloud storage, all we need is a web browser such as Chrome/Firefox. There are many aspects of cloud computing characteristics that make it one of the fastest growing markets [3].
Cross Section Libraries and Sources of Practical Nuclear Data
Published in Robert E. Masterson, Introduction to Nuclear Reactor Physics, 2017
There is an excellent online plotting tool that can be used with the ENDF 7 database to plot the nuclear cross sections of any element or isotope on the World Wide Web. The name of this plotting tool is ENDFPLOT. A description of ENDFPLOT and its capabilities can be found at the following URL:http://atom.kaeri.re.kr/endfplot.shtml.The ENFD plotting tool is maintained by the Korean Atomic Energy Research Institute (or KAERI). The current version of ENDFPLOT is implemented as a Java applet, so all that is required to access it is a standard web browser like Mozilla Firefox, Internet Explorer, or Google Chrome. One of the most useful features of ENDFPLOT is that it allows a user to plot multiple cross sections for a material like U-238 (such as the fission, absorption, and scattering cross sections) on the same graph at the same time but in different colors to let the behavior of the various cross sections stand out. A cross section can also be deleted from the plot if you want. Figure 5.1b is an example of a graph generated using ENDFPLOT. It is also possible to use this plotting facility to compare the cross sections of several elements at the same time such as the scattering cross sections for carbon, hydrogen, and oxygen. This type of graph is shown in Figure 5.2.
Perceived input control on digital platforms: a mixed-methods investigation of web-browser platforms
Published in Journal of Decision Systems, 2021
Evgheni Croitor, Martin Adam, Alexander Benlian
Our empirical setting takes place on Chrome and Firefox, two major web-browser platforms. Both platforms extend their product boundaries by encouraging a large number of developers (i.e. complementors on web browser platforms) to supply extensions (i.e. complements on web browser platforms). Extensions provide add-on functionalities for users, such as ad blocking, privacy protection and search tools. The majority of developers use cross-platform extension development tools (i.e. APIs) and submit their extensions to both platforms at the same time, because the effort of developing an extension is largely independent of the number of platforms that are targeted. Chrome and Firefox offer ideal settings for our empirical analyses for several reasons: First, Chrome and Firefox are typical two-sided platforms with complementors and end-users. Second, to distribute their extensions, developers on both platforms are required to pass through a complementor-related and a complement-related input control process. Third, apart from a registration fee, the input control practices on both platforms are similar, allowing to investigate both platforms from complementors’ perspective at the same time. Finally, extensions from over 150,000 developers are currently available online (ca. 15,900 on Firefox and ca. 189,000 on Chrome). Together, Chrome and Firefox hold over 70% of the browser market worldwide (StatCounter, 2019).
Editorial
Published in Journal of Decision Systems, 2021
David Sammon, Ciara Heavin, Arif Wibisono
This compelling research is a direct response to a call made by Croitor and Benlian (2019) to investigate the effects of perceived input control (PIC) of contributors using web browser platforms such as Chrome and Firefox. Through the lens of IS Continuance theory, the researchers analyse the relationship between a platform’s PIC and the complementors’ decision to keep contributing to a platform. Both quantitative and qualitative data were collected from expert informants, namely web browser extension developers, as part of this study. Results revealed the effects of PIC on complementors’ perceived usefulness, satisfaction, and continuance intentions towards a web browser platform. Further, this article directly contributes to IS control/governance research by characterising the two dimensions of PIC, Complementor-PIC and Complement-PIC.
Accessible Ubiquitous Services for Supporting Daily Activities: A Case Study with Young Adults with Intellectual Disabilities
Published in International Journal of Human–Computer Interaction, 2019
Amaia Aizpurua, Raúl Miñón, Borja Gamecho, Idoia Cearreta, Myriam Arrue, Nestor Garay-Vitoria
In order to conduct the test, the following devices were set up for the experimental sessions: A server where the Egoki system was installed, including all the multimedia resources associated with the two ubiquitous services.A wireless local network to deploy and provide ubiquitous services.Two cameras to record the interaction of each user.A printer to print out the proof of task completion by participants.An off-the-shelf tablet with Android 4.0.3 operating system and Google Chrome web browser.