The Fear Of Failure As An Athlete And An International Student: The Search For Meaning Making Outside My Comfort Zone

When I was young, I always looked at the world with frightened eyes. Growing up I was so afraid of dying I placed myself inside a bubble. The comfort zone I created around my parents and our family home was a place my mom never imagined I could leave. I never imagined I would leave. Here, shielded from my perceived dangers, I felt happy and safe. Using the method of Scholarly Person Narrative, I will tell the story of my development and growth into a stronger individual—mentally and physically. I will examine my personal history and explain how I found the courage to leave my comfort zone to face my fears and why that mattered. I will illustrate how difficult this was, how I handled challenges, and how my approaches to failure as an athlete and educator changed my perspective toward life. The key to the success in my journey was the use of vulnerability. The vulnerability of leaving my comfort zone helped me uncover my true nature and live in the moment. It helped me embrace the fear, that not knowing what the future holds is all part of the bigger picture. It allowed me to take a step back and explore who I was outside of my comfort zone. Instead of living in fear each day, this examination helped me open up and start living life with joy

Quasi-hereditary algebras and the geometry of representations of algebras

Eiriksson Ö. Quasi-hereditary algebras and the geometry of representations of algebras. Bielefeld: Universität Bielefeld; 2018.Chapter 2: We construct two functors from the submodule category of a self-injective representation-finite algebra $\Lambda$ to the module category of the stable Auslander algebra of $\Lambda$. They factor through the module category of the Auslander algebra of $\Lambda$. Moreover they induce equivalences from the quotient categories of the submodule category modulo their respective kernels and said kernels have finitely many indecomposable objects up to isomorphism. We show how this interacts with an idempotent recollement of the module category of the Auslander algebra of $\Lambda$, and get a characterisation of the self-injective Nakayama algebras as a byproduct. Chapter 3: We recall how dense orbits of a general linear group acting on quiver flag varieties correspond to rigid objects in monomorphism categories. In order to identify rigid objects via the AR-formula we show how the AR-translate of a representation category of a quiver can be used to calculate the AR-translates of objects in the monomorphism categories of the corresponding path algebra. We also illustrate other methods to find rigid objects in monomorphism categories; via a long exact sequence, and so called ext-directed decompositions. Chapter 4: We introduce the notion of a quiver-graded Richardson orbit, generalising the notion of a dense orbit of a parabolic subgroup of a general linear group acting on the nilpotent radical of its Lie algebra. In this generalised setting dense orbits do not exist in general. We introduce the nilpotent quiver algebra, which is simultaneously left strongly quasi-hereditary and right ultra strongly quasi-hereditary. We show there is a one-to-one correspondence between rigid objects in the subcategory of standard filtered modules up to isomorphism and quiver-graded Richardson orbits

Assessing Subjectivity in Environmental Sensor Data Post Processing via a Controlled Experiment

Collection of high resolution, in situ data using environmental sensors is common in hydrology and other environmental science domains. Sensors are subject to drift, fouling, and other factors that can affect the quality of the measurements and their subsequent use for scientific analyses. The process by which sensor data are reviewed to verify validity often requires making edits in post processing to generate approved datasets. This quality control process involves decisions by technicians, data managers, or data users on how to handle problematic data. In this study, an experiment was designed and conducted where multiple participants performed quality control post processing on the same datasets using consistent guidelines and tools to assess the effect of individual technician on the resulting datasets. The effect of technician experience and training was also assessed by conducting the same procedures with a group of novices unfamiliar with the data and compared results to those generated by a group of experienced technicians. Results showed greater variability between outcomes for experienced participants, which we attribute to novice participants\u27 reluctance to implement unfamiliar procedures that change data. The greatest variability between participants\u27 results was associated with calibration events for which users selected different methods and values by which to shift results. These corrections resulted in variability exceeding the range of manufacturer-reported sensor accuracy. To reduce quality control subjectivity and variability, we recommend that monitoring networks establish detailed quality control guidelines and consider a collaborative approach to quality control in which multiple technicians evaluate datasets prior to publication