The Business of Android Apps Development

Sandberg, Roy; Rollins, Mark

doi:10.1007/978-1-4302-5008-1

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vegethon has been tested in two studies: A RCT pilot study [32] and a RCT [33]. The target population of the Vegethon pilot study comprised 17 overweight adults aged 18–50 years [31,32] who were randomized for the use of the Vegethon mobile phone application as the intervention group or to a wait-listed control condition. The intervention group was instructed to use the Vegethon application and encouraged to self-monitor and increase their vegetable intake.…”

Section: Resultsmentioning

confidence: 99%

“…Article searches were limited to a recent time range of 10 years, considering that the use and availbility of mobile phone applications, which are the key tools evaluated in the present review, increased only a few years ago, starting from 2007, when they appeared on the market. In this sense, there is a lack of published trials on the use of mobile phone applications for health interventions before 2010 [29,30,31]. This systematized review was based on two electronic databases: PubMed and Web of Science.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Potential Use of Mobile Phone Applications for Self-Monitoring and Increasing Daily Fruit and Vegetable Consumption: A Systematized Review

et al. 2019

View full text Add to dashboard Cite

A wide range of chronic diseases could be prevented through healthy lifestyle choices, such as consuming five portions of fruits and vegetables daily, although the majority of the adult population does not meet this recommendation. The use of mobile phone applications for health purposes has greatly increased; these applications guide users in real time through various phases of behavioural change. This review aimed to assess the potential of self-monitoring mobile phone health (mHealth) applications to increase fruit and vegetable intake. PubMed and Web of Science were used to conduct this systematized review, and the inclusion criteria were: randomized controlled trials evaluating mobile phone applications focused on increasing fruit and/or vegetable intake as a primary or secondary outcome performed from 2008 to 2018. Eight studies were included in the final assessment. The interventions described in six of these studies were effective in increasing fruit and/or vegetable intake. Targeting stratified populations and using long-lasting interventions were identified as key aspects that could influence the effectiveness of these interventions. In conclusion, evidence shows the effectiveness of mHealth application interventions to increase fruit and vegetable consumption. Further research is needed to design effective interventions and to determine their efficacy over the long term.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Potential Use of Mobile Phone Applications for Self-Monitoring and Increasing Daily Fruit and Vegetable Consumption: A Systematized Review

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Within this context, the most commonly used mobile operating systems are iOS and Android platforms. Accordingly Apple's CEO, Tim Cook, more than 800 million iOS device were already sold 1 and the daily activation devices using Android platform is approximately 1.5 million [4].…”

Section: Introductionmentioning

confidence: 99%

Experimental Approach of the Asymptotic Computational Complexity of Shaders for Mobile Devices with OpenGL ES

Lima

Costa

2014

2014 Brazilian Symposium on Computer Games and Digital Entertainment

View full text Add to dashboard Cite

The usage of mobile devices and increasingly realistic graphics is emerging, but the graphics performance is still a critical factor in games. There's more hardware restriction on mobile devices than on a computer. Thus, this paper proposes an experimental approximation of the asymptotic computational complexity of miscellaneous vertex and fragment shaders for Android and iOS platforms. The asymptotic complexities of the shaders will be analyzed based on number of instructions per second and rendering time metrics, depending on the number of polygons rendered. By means of the adjusted curves is also possible to compare the performance of the devices used in this work, which are the Nexus 4, HTC One, iPhone 5s and iPad Air. Besides, an automatic tool -that plots the data and uses the method of least squares to adjust the values obtained -will be presented, being able to estimate which curve has better approximation to the sampled data.

show abstract