Moving Beyond Hastiness and Superficiality: Being an Ethical Technical Communicator via Digital Communication Technologies in Health Care

This thesis examines digital technologies used by technical communicators in healthcare settings. I show that technical communicators, who function as users, advocators and evaluators, need a useable framework for ethical engagement with digital technologies, which integrally affect the physician-patient relationship. Therefore, I apply rhetorical methodology by producing useable knowledge and phenomenological methodology by examining lived experiences of technical communicators. Substantiation comes from theories spanning technical communication, philosophy, and composition studies. Evidence also emerges from qualitative interviews with communication professionals working in healthcare; my concerns arise from personal experiences with electronic recordkeeping in the exam room. This thesis anticipates challenging the presumed theory-practice divide while encouraging greater disciplinary reciprocity. Because technical communication infuses theory into productive capacity, this thesis presents the tripartite summons of the ethical technical communicator: to exercise critically-reflective action that safeguards the physician-patient relationship by ways of using digital technologies, advocating for audiences, and evaluating digital technologies.

DEVELOPMENT OF A PREDICTIVE COMBUSTION MODEL OF A SPARK IGNITED ENGINE WITH GASOLINE DIRECT INJECTION, VARIABLE VALVE TIMING, DURATION AND LIFT TECHNOLOGIES

There is a need by engine manufactures for computationally efficient and accurate predictive combustion modeling tools for integration in engine simulation software for the assessment of combustion system hardware designs and early development of engine calibrations. This thesis discusses the process for the development and validation of a combustion modeling tool for Gasoline Direct Injected Spark Ignited Engine with variable valve timing, lift and duration valvetrain hardware from experimental data. Data was correlated and regressed from accepted methods for calculating the turbulent flow and flame propagation characteristics for an internal combustion engine. A non-linear regression modeling method was utilized to develop a combustion model to determine the fuel mass burn rate at multiple points during the combustion process. The computational fluid dynamic software Converge ©, was used to simulate and correlate the 3-D combustion system, port and piston geometry to the turbulent flow development within the cylinder to properly predict the experimental data turbulent flow parameters through the intake, compression and expansion processes. The engine simulation software GT-Power © is then used to determine the 1-D flow characteristics of the engine hardware being tested to correlate the regressed combustion modeling tool to experimental data to determine accuracy. The results of the combustion modeling tool show accurate trends capturing the combustion sensitivities to turbulent flow, thermodynamic and internal residual effects with changes in intake and exhaust valve timing, lift and duration.

APPLICATION OF AN IMPUTATION METHOD FOR GEOSPATIAL INVENTORY OF FOREST STRUCTURAL ATTRIBUTES ACROSS MULTIPLE SPATIAL SCALES IN THE LAKE STATES, U.S.A.

Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable success in augmenting limited sample plot data to generate stand- and landscape-level spatial predictions of forest inventory attributes. Further enhancement of forest inventory approaches that couple field measurements with cutting edge remotely sensed and geospatial datasets are essential to sustainable forest management. We evaluated a novel Random Forest based k Nearest Neighbors (RF-kNN) imputation approach to couple remote sensing and geospatial data with field inventory collected by different sampling methods to generate forest inventory information across large spatial extents. The forest inventory data collected by the FIA program of US Forest Service was integrated with optical remote sensing and other geospatial datasets to produce biomass distribution maps for a part of the Lake States and species-specific site index maps for the entire Lake State. Targeting small-area application of the state-of-art remote sensing, LiDAR (light detection and ranging) data was integrated with the field data collected by an inexpensive method, called variable plot sampling, in the Ford Forest of Michigan Tech to derive standing volume map in a cost-effective way. The outputs of the RF-kNN imputation were compared with independent validation datasets and extant map products based on different sampling and modeling strategies. The RF-kNN modeling approach was found to be very effective, especially for large-area estimation, and produced results statistically equivalent to the field observations or the estimates derived from secondary data sources. The models are useful to resource managers for operational and strategic purposes.

TEACHING MENSTRUAL HEALTH AND HYGIENE TO YOUNG WOMEN IN EASTERN UGANDA WITH REUSABLE MENSTRUAL PADS

In order to identify the impact of teaching menstrual health and hygiene with reusable menstrual pads on knowledge retention and school attendance, qualitative and quantitative data was collected from three rural schools in three districts of eastern Uganda: Amuria, Bukedea, and Ngora. Research techniques employed were preliminary and post surveys of 85 young women; average age 16.9 years. Findings include positive and negative results. Participants’ feelings of normalcy and comfort increased and participants had improved understanding of sexual climax and appropriate menstrual management strategies. There was no statistically significant impact of teaching on topics of sexual intercourse or pregnancy. The impact of reusable menstrual pad sanitary technology on school attendance was negative as more young women reported missing up to a full day of school during their menstrual period (χ2 (3, 73) = 7.81, p = 0.05). Study limitations are discussed and future work is suggested.