Many individuals diagnosed with diabetes find themselves in the need to rethink their common daily routines, and alter their lifestyle and habits. Computing technology, especially ubiquitous computing applications, can help individuals maintain a high level of awareness of their health, reflect on and learn from their past experiences, and generally improve their diabetes management practices. However, to be successful, these applications require continuous engagement from their users and must be able to adapt to the changing environments of use, their users' changing health and their growing understanding of their disease. In this work we designed the graphic user interface (GUI) of an android smartphone with features such as patient's glucose level, time information is received, patient's location with the aid of global positioning system (GPS), like colour code, voice recorder and facial expression for the different glucose levels. This system also utilizes Google sheet to manage Personal Health Records (PHRs), which not only bridges the gaps between patients and different health care providers but enabling accesses to patients' PHRs anywhere and anytime by taking advantage of the universal accessibility of Google sheet. The system further integrates with GPS, Google Search and Google Map functionalities to facilitate the user to find all hospitals near to his/her current location.

This paper is about the implementation of a software tool to aid the study of chaos theory in the the context of the financial or commodities markets. The main focus of this paper is simulating the movement of oil prices in an attempt to identity chaos when it exists. Models implemented represent certain economically realistic aspects of the oil market. Tests for chaos (Lyapunov exponent test) will be conducted on these models, an attempt will be made to test for chaos in the movement of the price of oil dated from 2006 to 2016. The models implemented here are nonlinear models with the potential of exhibiting chaos for certain parameter values. Shocks will be introduced into the models and their effect on the models will be noted and visualized through the use of a time series or graphs. An Object oriented programming language (Java) was used in building this application, MYSQL database was used to save the data generated by the models and the spiral software development life-cycle was used in structuring, planning and controlling the process of building this application.