Google Play Store was used to search for eye care-related applications the android simulator using various general terms related to eye care to review and categorize various interactive eye care-related applications in android platform from the details available in the application website. Data collected from application description and application developer's webpage include target audience, category of apps, estimated number of downloads, average user rating, involvement of eye care professionals in developing the application, and cost of the app. All these data were collected only from the details provided in the application website considering on online user perspective and the developers were not contacted to collect any other details. In total, 475 applications were identified and grouped into 13 categories depending on the type of service the application provide. Out of which, only 107 (22.53%) applications had mentioned about the eye care professional involvement in their design or development of the application. The applications were also stratified according to the target audience, and many had no user rating with very few downloads. The lack of evidence-based principles and standardization of application development should be taken into consideration to avoid its negative impact on the community, especially in eye care.
Android devices have gained a lot of attention in the last few decades due to several reasons including ease of use, effectiveness, availability and games, among others. To take advantage of Android devices, mobile users have begun installing an increasingly substantial number of Android applications on their devices. Rapid growth in many Android devices and applications has led to security and privacy issues. It has, for instance, opened the way for malicious applications to be installed on the Android devices while downloading different applications for different purposes. This has caused malicious applications to execute illegal operations on the devices that result in malfunction outputs. Android botnets are one of these malfunctions. This paper presents Android botnets in various aspects including their security, architecture, infection vectors and techniques. This paper also evaluates Android botnets by categorising them according to behaviour. Furthermore, it investigates the Android botnets with respect to Android device threats. Finally, we investigate different Android botnet detection techniques in depth with respect to the existing solutions deployed to mitigate Android botnets.
Communication apps can be an important source of evidence in a forensic investigation (e.g., in the investigation of a drug trafficking or terrorism case where the communications apps were used by the accused persons during the transactions or planning activities). This study presents the first evidence-based forensic taxonomy of Windows Phone communication apps, using an existing two-dimensional Android forensic taxonomy as a baseline. Specifically, 30 Windows Phone communication apps, including Instant Messaging (IM) and Voice over IP (VoIP) apps, are examined. Artifacts extracted using physical acquisition are analyzed, and seven digital evidence objects of forensic interest are identified, namely: Call Log, Chats, Contacts, Locations, Installed Applications, SMSs and User Accounts. Findings from this study would help to facilitate timely and effective forensic investigations involving Windows Phone communication apps.
Advances in technologies including development of smartphone features have contributed to the growth of mobile applications, including dating apps. However, online dating services can be misused. To support law enforcement investigations, a forensic taxonomy that provides a systematic classification of forensic artifacts from Windows Phone 8 (WP8) dating apps is presented in this study. The taxonomy has three categories, namely: Apps Categories, Artifacts Categories, and Data Partition Categories. This taxonomy is built based on the findings from a case study of 28 mobile dating apps, using mobile forensic tools. The dating app taxonomy can be used to inform future studies of dating and related apps, such as those from Android and iOS platforms.
In Malaysia, the number of Musculoskeletal Disorder (MSD) cases is increasing . Rapid Upper Limb Assessment
(RULA) is carried out in a physical paper form which is cumbersome and based on the complex nature and it should
consider human error. This project aims to create the RULA application for mobile devices featuring the android system
for this move will cut down the process time by more than half, create a more structured system and eliminate human
error wholly. The application will be designed on the App Inventor website which features a lot of handy tutorials
and takes the initiative to create a RULA mobile app for Android phones. The RULA mobile app for Android phones
is intended to make it easier and much more efficient to conduct a RULA analysis. Additionally, the analyses can be
conducted by minimally trained users, eliminating the need for highly trained technicians. RULA test is performed to
achieve accurate results and the mathematical processes will be programmed into the app so that the user will have a
friendly interface and will only be asked to tick boxes.
A normal health status is highly depends on body weight. Many health problems may occur or impose risk for
extremely obese individuals. Etiopathology of obesity includes interaction of several factors inclusive of
genetic and non-genetic factors such as lifestyle changes. This study aimed to launch Malaysian Obesity
DNA Bank and determine the prevalence of obesity along with anthropometric measurements of the subjects.
The cross-sectional study was conducted on total of 340 subjects (obese = 95, overweight = 122 and normal =
123), aged 19-60 years, in Terengganu. The BMI and well appropriate anthropometric measurements (waist
circumference, hip circumference, waist to hip ratio, fat percentage and ASindex) were determined through
standard protocols and formulae. The mean difference of anthropometrics was determined by independent ttest. Data was analysed using SPSS ver.16.0.0. The BMI was determined for all subjects and it was found that
out of 340 subjects, a total of 95 (27.9%) subjects were obese , followed by a total of 122 (35.8%) subjects
were overweight and normal individuals were 123 (36.1%). The mean of the BMI, WHR, Fat% and ASindex,
in Malay obese were 32.83, 0.88, 33.5 and 13.21 respectively, while in normal healthy individuals were 22.1,
0.78, 24.2 and 20.1 respectively. The difference of mean of BMI, WHR, Fat% and ASindex was calculated to
be 10.73, 0.1, 9.3 and 6.89 respectively. To the best of our knowledge, this is the first report in Malaysia,
reporting that this is very first Obesity DNA Bank in South East Asia region and prevalence of obesity in
Terengganu, Malaysia to be 27.9%. In addition, it indicates a significant mean difference for anthropometric
measurements among obese and normal individuals. For Asindex calculations suggest that the prevalence of
genocide obesity is greater 89.9% of android obesity in Malay obese attributes
.