Classification And Analysis Of Mobile Health Evaluation Through Taxonomy and Method Development

This manuscript documents the creation and evaluation of a taxonomy for mobile health (m-health) evaluation and a method for m-health evaluation. M-health as a field within IS has seen significant amounts of growth in recent years due to improvements in technology leading to more affordable and portable computing power. The application of these technologies to the healthcare domain has created many new opportunities and benefits for patients and providers alike. This research seeks to study how these m-health projects are being evaluated and to determine what the characteristics of these evaluations are. To accomplish this goal, the research process is conducted as design science and the research outputs of taxonomy and method are presented as design science artifacts. The two artifacts are evaluated during their creation and once more afterwards to determine their utility. The taxonomy is created by collecting and analyzing documentation on m-health evaluation and using that information to generate descriptive categories by following a series of guidelines for creating a classification system. After evaluation of the artifact, a method is created for conducting m-health evaluation. This method is a series of guidelines built upon constructs and relationships derived from the taxonomy. Evaluation of the artifacts consists of expert surveys, cluster analysis, and attribute analysis. After evaluation of both artifacts, a descriptive theory explaining the selection of m-health evaluation types is created and presented. Theory development is based on the idea of kernel theories and their transferability to the information systems (IS) and design science domains. Contributions of this research are as follows: a classification system for m-health evaluation, a series of guidelines for individuals working on evaluations in the field of m-health, and a descriptive theory on the selection of evaluation type in an m-health context

Application Design to Incentivize Medication Adherence for Chronic Care

This research is motivated by the current trend towards utilization of mobile technology in healthcare interventions. Despite academic and practitioner efforts, lack of medication adherence continues to be a leading indicator of poor health outcomes and increased hospitalizations worldwide especially for chronic care patients (McQuaid and Landier 2018; Sweeney et al.and Vanable 2016; Yang and Varshney 2016). Our focus area is on gamification-based mobile applications designed for improvingto incentivize and improve patient medication adherence. We have conducted an initial survey of mobile applications in the medication adherence space and their features. Our analysis of the current research academic literature and review of existing medication adherence applications indicates a research gap and an opportunity to create a significant contribution through the research-based design of an application that provides a solution to the complex practical problem of medication adherence in chronic disease management. We propose the design and evaluation of an application to improve medication adherence for patients with chronic disorders through incentives. Our results provide more information on the feasibility of incentives and mobile applications as ways to positively influence patient behavior. The contribution of this research is a novel design comprising a combination of multiple intervention and incentive types to improve medication adherence. While the initial design and development will adopt a means-end, idiographic approach to the solution design, further iterations will be used to derive nomothetic design knowledge on the design of incentivizing applications. Our practical contribution addresses the problem of medication adherence by applying technology to behavioral incentives in a planned, user-centric way

Polyacrylonitrile-based electrospun carbon paper for electrode applications

Polyacrylonitrile (PAN)-based carbon paper with fiber diameters of 200–300 nm was developed through hot-pressing, pre-oxidation, and carbonization of electrospun fiber mats. Changes in morphology, crystallinity, and surface chemistry of the hot-pressed carbon paper were investigated. More junctions between fibers were formed with increasing hot-press time, which is attributed to melting and bonding of fibers. The bulk density increased to 0.5–0.6 g/cm[superscript 3], which could help to improve the volume energy density for electrode applications. The conductivity of the carbon paper was found to be about 40 S/cm when the surface area was ∼ 2 m[superscript 2]/g, and depends not only on the conductivity of the individual nanofibers but also on the contacts between the nanofibers. The performance of the electrospun carbon paper as an electrode for electrochemical reactions involving ferrocene molecules was affected by the preparation protocol: the higher surface area of the electrodes formed with shorter hot-press times provided a higher current generated per unit mass than that obtained with electrodes prepared using longer hot-press time, but electrodes prepared with longer hot-press times exhibited higher electrical conductivity and faster electron transfer kinetics

Metabolic crosstalk: molecular links between glycogen and lipid metabolism in obesity.

Glycogen and lipids are major storage forms of energy that are tightly regulated by hormones and metabolic signals. We demonstrate that feeding mice a high-fat diet (HFD) increases hepatic glycogen due to increased expression of the glycogenic scaffolding protein PTG/R5. PTG promoter activity was increased and glycogen levels were augmented in mice and cells after activation of the mechanistic target of rapamycin complex 1 (mTORC1) and its downstream target SREBP1. Deletion of the PTG gene in mice prevented HFD-induced hepatic glycogen accumulation. Of note, PTG deletion also blocked hepatic steatosis in HFD-fed mice and reduced the expression of numerous lipogenic genes. Additionally, PTG deletion reduced fasting glucose and insulin levels in obese mice while improving insulin sensitivity, a result of reduced hepatic glucose output. This metabolic crosstalk was due to decreased mTORC1 and SREBP activity in PTG knockout mice or knockdown cells, suggesting a positive feedback loop in which once accumulated, glycogen stimulates the mTORC1/SREBP1 pathway to shift energy storage to lipogenesis. Together, these data reveal a previously unappreciated broad role for glycogen in the control of energy homeostasis

Spectroscopy and thermal modelling of the first interstellar object 1I/2017 U1 ‘Oumuamua

During the formation and evolution of the Solar System, significant numbers of cometary and asteroidal bodies were ejected into interstellar space. It is reasonable to expect that the same happened for planetary systems other than our own. Detection of such interstellar objects would allow us to probe the planetesimal formation processes around other stars, possibly together with the effects of long-term exposure to the interstellar medium. 1I/2017 U1 ‘Oumuamua is the first known interstellar object, discovered by the Pan-STARRS1 telescope in October 2017. The discovery epoch photometry implies a highly elongated body with radii of ~ 200 × 20 m when a comet-like geometric albedo of 0.04 is assumed. The observable interstellar object population is expected to be dominated by comet-like bodies in agreement with our spectra, yet the reported inactivity of 'Oumuamua implies a lack of surface ice. Here, we report spectroscopic characterization of ‘Oumuamua, finding it to be variable with time but similar to organically rich surfaces found in the outer Solar System. We show that this is consistent with predictions of an insulating mantle produced by long-term cosmic ray exposure. An internal icy composition cannot therefore be ruled out by the lack of activity, even though ‘Oumuamua passed within 0.25 au of the Sun

All-optical retrieval of the global phase for two-dimensional Fourier-transform spectroscopy

A combination of spatial interference patterns and spectral interferometry are used to find the global phase for non-collinear two-dimensional Fourier-transform (2DFT) spectra. Results are compared with those using the spectrally resolved transient absorption (STRA) method to find the global phase when excitation is with co-linear polarization. Additionally cross-linear polarized 2DFT spectra are correctly phased using the all-optical technique, where the SRTA is not applicable.Comment: 6 pages, 7 figures, journal publicatio

Validation of the Symptom Pattern Method for Analyzing Verbal Autopsy Data

Chris Murray and colleagues propose and, using data from China, validate a new strategy for analyzing verbal autopsy data that combines the advantages of previous methods

Modeling and Analysis of a High-Displacement Pneumatic Artificial Muscle With Integrated Sensing

We present a high-displacement pneumatic artificial muscle made of textiles or plastics that can include integrated electronics to sense its pressure and displacement. Compared to traditional pneumatic muscle actuators such as the McKibben actuator and other more recent soft actuators, the actuator described in this paper can produce a much higher (40~65%) contraction ratio. In this paper, we describe the design, fabrication, and evaluation of the actuator, as well as the manufacturing process used to create it. We demonstrate the actuator design with several examples that produce 120 and 300 N at pressures of 35 and 105 kPa, respectively, and have contraction ratios of 40–65%