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"A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasi" by Vivienne Guan, Chenghuai Zhou et al.

Background: The Australian Dietary Guidelines (ADG) translate the best available evidence in nutrition into food choice recommendations. However, adherence to the ADG is poor in Australia. Given that following a healthy diet can be a potentially cost-effective strategy for lowering the risk of chronic diseases, there is an urgent need to develop novel technologies for individuals to improve their adherence to the ADG. Objective: This study describes the development process and design of a prototype mobile app for personalized dietary advice based on the ADG for adults in Australia, with the aim of exploring the usability of the prototype. The goal of the prototype was to provide personalized, evidence-based support for self-managing food choices in real time. Methods: The guidelines of the design science paradigm were applied to guide the design, development, and evaluation of a progressive web app using Amazon Web Services Elastic Compute Cloud services via iterations. The food layer ....

Amazon Web Services Elastic Compute Cloud , Australian Dietary Guidelines , Nutrition Care Process , Persuasive Systems Design , Mobile Application Rating Scale , Cloud Computing , Computer Vision , Design Science Research , Mobile Health , Mobile Phone , Persuasive Technology ,

High Performance API Management Testing – Gigaom

1. Summary
This report focuses on API management platforms deployed in the cloud. The cloud enables enterprises to differentiate and innovate with microservices at a rapid pace. It allows API endpoints to be cloned and scaled in a matter of minutes. And it offers elastic scalability compared with on-premises deployments, enabling faster server deployment and application development, and allowing less costly compute.
More importantly, many organizations depend on their APIs and microservices for high performance and availability. For the purposes of this paper, we define “
high performance” as that required by companies that experience workloads of
more than 1,000 transactions per second and need a ....

Jake Dolezal , William Mcknight , Dong Energy , Shenzhen Zhiliu Technology Co , Gigaom Research , Samba Bank , Syracuse University , Teva Pharmaceuticals , France Telecom , Apache Software Foundation , Amazon Web Services Elastic Compute Cloud , Software Version , Shenzhen Zhiliu Technology , Kong Enterprise , Azure Virtual Machine , Managed Cloud , Red Hat Based , Scaling Kong , Kong Hub , Field Test , Many Requests , Field Test Results , Field Tests , Attacking Our Benchmark , Apache Software , Young Entrepreneur ,