Technologies and implementation of an integration with geolocation and maps in mobile application development

This article describes native and cross-platform technologies used to implement the functionality of geolocation and geographic maps in the development of mobile applications for iOS and Android platforms. The implementation for iOS platform using Swift programming language, for Android platform using Kotlin programming language and cross-platform implementation using Flutter framework are considered in detail.

Conversion Tools

Mobile application development and use has exploded since the release of Google's Android operating system. The conversion tool is an application that offers a wide range of free conversion utilities such as length converters, area converters, encryption & decryption, password generators and many other tools. The target audience for this application is students.

Development of a Mobile Application for Clinical Research: Challenges and Implications for Investigators (Preprint)

UNSTRUCTURED Advances in mobile application technologies offer opportunities for researchers to feasibly collect a large amount of patient data that were previously inaccessible through traditional clinical research methods. Data collected via mobile device allow for several advantages, such as the ability to continuously gather data outside of research facilities and produce a greater quantity of data, making these data much more valuable to researchers. Health services research is increasingly incorporating mHealth but collecting these data in current research institutions is not without its challenges. Our paper uses a specific example to depict specific challenges of mHealth research and provides recommendations for investigators looking to incorporate digital application technologies and patient-collected digital data into their studies. Our experience describes how clinical researchers should be prepared to work with variable software and mobile application development timelines; research institutions that are interested in participating in mHealth research need to invest in supporting IT infrastructures in order to be a part of the growing field of mHealth and gain access to valuable patient-collected data.