Accessibility in health mobile applications

Abstract. Nowadays, there is a vast number of mobile devices capable of storing an individual’s entire life. There are applications for everything, from banking to ordering food and clothes, but also different health applications targeted towards different impairments and self-health care management. Self-health care management applications can have a significant impact on individuals with various diseases and impairments. However, it is essential that these applications are accessible to users with different impairments such as motor and vision impairments. The purpose of this study was to examine accessibility concerns in mobile health applications for individuals with multiple sclerosis and evaluate how these concerns were addressed. Multiple sclerosis was chosen as the focus of this study because its symptoms encompass a range of impairments, including vision, motion, hearing, and cognitive limitations. The study was conducted with benchmarking multiple sclerosis applications obtained in Google Play store. Benchmarking focused on accessibility, and measurements and metrics were gathered testing applications with Google Accessibility Scanner and TalkBack screen reader. Measurements were based on web content accessibility guidelines (WCAG) 2 and accessibility guidelines for mobile applications. None of the tested applications followed accessibility guideline requirements based on benchmarking metrics. When examining the metrics from the perspective of impairments, it was found that applications had accessibility concerns related to motor and vision impairments. The applications addressed requirements for hearing impairments in applicable features, while testing cognitive impairment requirements proved challenging with the selected testing tools. In the future, it is recommended to conduct additional accessibility testing for cognitive impairments using methods such as manual accessibility testing and user testing

Creating architecture for a digital information system leveraging virtual environments

Abstract. The topic of the thesis was the creation of a proof of concept digital information system, which utilizes virtual environments. The focus was finding a working design, which can then be expanded upon. The research was conducted using design science research, by creating the information system as the artifact. The research was conducted for Nokia Networks in Oulu, Finland; in this document referred to as “the target organization”. An information system is a collection of distributed computing components, which come together to create value for an organization. Information system architecture is generally derived from enterprise architecture, and consists of a data-, technical- and application architectures. Data architecture outlines the data that the system uses, and the policies related to its usage, manipulation and storage. Technical architecture relates to various technological areas, such as networking and protocols, as well as any environmental factors. The application architecture consists of deconstructing the applications that are used in the operations of the information system. Virtual reality is an experience, where the concepts of presence, autonomy and interaction come together to create an immersive alternative to a regular display-based computer environment. The most typical form of virtual reality consists of a headmounted device, controllers and movement-tracking base stations. The user’s head- and body movement can be tracked, which changes their position in the virtual environment. The proof-of-concept information system architecture used a multi-server -based solution, where one central physical server hosted multiple virtual servers. The system consisted of a website, which was the knowledge-center and where a client software could be downloaded. The client software was the authorization portal, which determined the virtual environments that were available to the user. The virtual reality application included functionalities, which enable co-operative, virtualized use of various Nokia products, in immersive environments. The system was tested in working situations, such as during exhibitions with customers. The proof-of-concept system fulfilled many of the functional requirements set for it, allowing for co-operation in the virtual reality. Additionally, a rudimentary model for access control was available in the designed system. The shortcomings of the system were related to areas such as security and scaling, which can be further developed by introducing a cloud-hosted environment to the architecture

AR Tennis

Modern mobile phones combine a display and processing power with a camera, and so are ideal platforms for augmented reality (AR), the overlay of computer graphics on the real world. Henrysson [2] has ported the popular ARToolKit [1] computer vision library to the Symbian operating system which allows developers to build AR applications that run on a mobile phone

Factors Affecting the Corporate Decision-Making Process of Air Transport Manufacturers

Fuel economy is a pivotal question influencing the future sale and utilization of commercial aircraft. The NASA Aircraft Energy Efficiency (ACEE) Program Office has a program intended to accelerate the readiness of advanced technologies for energy efficient aircraft. Because the decision to develop a new airframe or engine is a major financial hazard for manufacturers, it is important to know what factors influence the decision making process. A method is described for identifying and ranking individuals and organizations involved at each stage of commercial air transport development, and the barriers that must be overcome in adopting new technologies

Mendelian randomization highlights insomnia as a risk factor for pain diagnoses

Study Objective: Insomnia has been linked to acute and chronic pain conditions; however, it is unclear whether such relationships are causal. Recently, a large number of genetic variants have been discovered for both insomnia and pain through genome-wide association studies (GWASs) providing a unique opportunity to examine the evidence for causal relationships through the use of the Mendelian randomization paradigm. Methods: To elucidate the causality between insomnia and pain, we performed bidirectional Mendelian randomization analysis in FinnGen, where clinically diagnosed ICD-10 categories of pain had been evaluated. In addition, we used measures of self-reported insomnia symptoms. We used endpoints for pain in the FinnGen Release 5 (R5) (N = 218,379), and a non-overlapping sample for insomnia (UK Biobank (UKBB) and 23andMe, N = 1,331,010 or UKBB alone N = 453,379). We assessed the robustness of results through conventional Mendelian randomization sensitivity analyses. Results: Genetic liability to insomnia symptoms increased the odds of reporting pain (odds ratio (OR) [95% confidence interval (CI)] = 1.47 [1.38-1.58], p = 4.12 x 10(-28)). Manifested pain had a small effect on increased risk for insomnia (OR [95% CI] = 1.04 [1.01-1.07], p < 0.05). Results were consistent in sensitivity analyses. Conclusions: Our findings support a bidirectional causal relationship between insomnia and pain. These data support a further clinical investigation into the utility of insomnia treatment as a strategy for pain management and vice versa.Peer reviewe

Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy

Narcolepsy has genetic and environmental risk factors, but the specific genetic risk loci and interaction with environmental triggers are not well understood. Here, the authors identify genetic loci for narcolepsy, suggesting infection as a trigger and dendritic and helper T cell involvement. Narcolepsy type 1 (NT1) is caused by a loss of hypocretin/orexin transmission. Risk factors include pandemic 2009 H1N1 influenza A infection and immunization with Pandemrix (R). Here, we dissect disease mechanisms and interactions with environmental triggers in a multi-ethnic sample of 6,073 cases and 84,856 controls. We fine-mapped GWAS signals within HLA (DQ0602, DQB1*03:01 and DPB1*04:02) and discovered seven novel associations (CD207, NAB1, IKZF4-ERBB3, CTSC, DENND1B, SIRPG, PRF1). Significant signals at TRA and DQB1*06:02 loci were found in 245 vaccination-related cases, who also shared polygenic risk. T cell receptor associations in NT1 modulated TRAJ*24, TRAJ*28 and TRBV*4-2 chain-usage. Partitioned heritability and immune cell enrichment analyses found genetic signals to be driven by dendritic and helper T cells. Lastly comorbidity analysis using data from FinnGen, suggests shared effects between NT1 and other autoimmune diseases. NT1 genetic variants shape autoimmunity and response to environmental triggers, including influenza A infection and immunization with Pandemrix (R)

Solution composition and particle size effects on the dissolution and solubility of a ThO2 microstructural analogue for UO2 matrix of nuclear fuel

The objective of this study was to investigate the dissolution rate of ThO2 which was synthesised to approximate, as closely as possible, the microstructure of UO2 in a nuclear fuel matrix. The optimal sintering temperature for ThO2 pellets was found to be 1750 ℃, which produced pellets with a microstructure similar to UO2 nuclear fuel pellets, with randomly oriented grains ranging in size from 10 to 30 μm. Dissolution was conducted using ThO2 particles of different size fractions (80 to 160 μm and 2 to 4 mm) in the presence and absence of carbonate, in solutions with pH from 2 to 8 and at 80 ℃. Dissolution rates were calculated from Th released from the solid phase to solution. Particles of ThO2 were also leached with 1 M HNO3 at 80 ℃ in order to investigate the morphological changes at the particle surfaces. The concentration of Th was found to be ≥ 10–9 mol/L at pH ≤ 4, lower than the theoretical solubility of crystalline ThO2. At higher pH values, from 4 to 8, the measured concentrations (10−10 to 10–12 mol/L) were between the theoretical solubility of ThO2 and Th(OH)4. Grain boundaries were shown to exert an influence on the dissolution of ThO2 particles. Using high resolution aqueous solution analysis, these data presented here extend the current understanding of Th solubility in solutio

Robust high-dimensional precision matrix estimation

The dependency structure of multivariate data can be analyzed using the covariance matrix $\Sigma$. In many fields the precision matrix $\Sigma^{-1}$ is even more informative. As the sample covariance estimator is singular in high-dimensions, it cannot be used to obtain a precision matrix estimator. A popular high-dimensional estimator is the graphical lasso, but it lacks robustness. We consider the high-dimensional independent contamination model. Here, even a small percentage of contaminated cells in the data matrix may lead to a high percentage of contaminated rows. Downweighting entire observations, which is done by traditional robust procedures, would then results in a loss of information. In this paper, we formally prove that replacing the sample covariance matrix in the graphical lasso with an elementwise robust covariance matrix leads to an elementwise robust, sparse precision matrix estimator computable in high-dimensions. Examples of such elementwise robust covariance estimators are given. The final precision matrix estimator is positive definite, has a high breakdown point under elementwise contamination and can be computed fast

Comment on ``Passage Times for Unbiased Polymer Translocation through a Narrow Pore''

One of the most fundamental quantities associated with polymer translocation through a nanopore is the translocation time $\tau$ and its dependence on the chain length $N$. Our simulation results based on both the bond fluctuation Monte Carlo and Molecular Dynamics methods confirm the original prediction $\tau\sim N^{2\nu+1}$, which scales in the same manner as the Rouse relaxation time of the chain except for a larger prefactor, and invalidates other scaling claims.Comment: 1+pages, 1 Figure, Minor change