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Methods: A project was undertaken at an outpatient behavioral setting in urban Arizona to determine the use and effectiveness of a mental health app called insight timer to reduce anxiety symptoms. Adult clients with anxiety symptoms were provided with the insight timer app to use over a period of eight weeks. Anxiety was evaluated with the GAD-7 scale initially and after the eight weeks of app use. Usability and the quality of the app were assessed with an app rating scale at the end of the eight weeks.
Results: Findings of the Wilcoxon Signed Ranks test indicated changes in pre and posttest assessment scores as significant (p = .028), which is a significant reduction in anxiety among seven clients who completed the 8-week intervention. the mean TI score was 15.57 (SD = 4.9), and the mean T2 score was 7.71 (SD = 5.7). Besides, Cohen's effect size value (d = 1.465) suggested large clinical significance for GAD7 in pre and posttest.
Discussion: Evidence suggests that the use of an evidence-based app can effectively reduce anxiety symptoms and improve the quality of life. The use of mental health apps like insight timer could reduce health care costs associated with unnecessary hospital admissions as well as re-hospitalizations. The routine use of apps such as the insight timer may also be beneficial to all the clients who have anxiety symptoms in outpatient as well as inpatient settings.
Grubhub's user reviews from the Apple IOS store were analyzed to provide alternate user experience (UX) solutions through answering the following:
1. How is Grubhub's mobile app meeting user expectations?
2. How can Grubhub improve the mobile app experience?
Hybrid system models - those devised from two or more disparate sub-system models - provide a number of benefits in terms of conceptualization, development, and assessment of dynamical systems. The decomposition approach helps to formulate complex interactions that are otherwise difficult or impractical to express. However, hybrid model development and usage can introduce complexity that emerges from the composition itself.
To improve assurance of model correctness, sub-systems using disparate modeling formalisms must be integrated above and beyond just the data and control level; their composition must have model specification and simulation execution aspects as well. Poly-formalism composition is one approach to composing models in this manner.
This dissertation describes a poly-formalism composition between a Discrete EVent System specification (DEVS) model and a Cellular Automata (CA) model types. These model specifications have been chosen for their broad applicability in important and emerging domains. An agent-environment domain exemplifies the composition approach. The inherent spatial relations within a CA make it well-suited for environmental representations. Similarly, the component-based nature of agents fits well within the hierarchical component structure of DEVS.
This composition employs the use of a third model, called an interaction model, that includes methods for integrating the two model types at a formalism level, at a systems architecture level, and at a model execution level. A prototype framework using DEVS for the agent model and GRASS for the environment has been developed and is described. Furthermore, this dissertation explains how the concepts of this composition approach are being applied to a real-world research project.
This dissertation expands the tool set modelers in computer science and other disciplines have in order to build hybrid system models, and provides an interaction model for an on-going research project. The concepts and models presented in this dissertation demonstrate the feasibility of composition between discrete-event agents and discrete-time cellular automata. Furthermore, it provides concepts and models that may be applied directly, or used by a modeler to devise compositions for other research efforts.
PowerPoint presentation to the Santa Fe Institute, October 2004.