A Best Practice Guide for the Usage of Mobile Health Applications

The purpose of this capstone was to develop a best practice guide for the use of mobile health applications (mHealth apps) to aid in the care of chronically ill patients using an exemplar of blood pressure (BP) tracking for hypertension (HTN). Research on the use of mHealth apps is growing but a best practice guide for deployment of the apps has not yet been developed. Mobile health apps have expanded rapidly as smartphone technology captured the attention of American society. Mobile health apps have both inherent benefits and risks. The primary benefit of mHealth apps is the ability to track and display data at regular intervals during the day without resorting to paper data collection. The primary risk of mHealth apps is the possible violation of Health Insurance Portability and Accountability Act (HIPAA) laws with technology that is not yet adequately regulated by appropriate authorities. Mobile health technology on smartphones has proven to be far more useful than simply a replacement of paper data collection. Data show the use of smartphones for tracking data such as BP measurements engages patients in their treatment plans and empowers them to advocate for themselves. This empowerment adds a new dimension to the patient-provider relationship and to treatment plans, and one that providers should iv embrace. Smartphones give patients concrete actions to perform, promoting adherence to treatment plans and activities that foster long-term health. Although smartphone technology is mature and widespread, the healthcare community had not fully exploited it in an effort to combat chronic illnesses. This capstone focused on the development of a best practice guide for the usage of mHealth apps in an effort to facilitate deployment of mHealth apps in clinical settings. It was meant to serve as a practical best practice guide for healthcare providers to understand the capabilities of mHealth apps in the effort to reduce the effects of chronic illnesses in the United States and the benefits and risks associated with the use of mHealth apps. It was also meant to serve as a “How-To” book for the deployment of mHealth apps to patients with chronic illnesses

Theorizing #Girlboss Culture: Mediated Neoliberal Feminisms from Influencers to Multi-level Marketing Schemes

I define girlboss feminism as emergent, mediated formations of neoliberal feminism that equate feminist empowerment with financial success, market competition, individualized work-life balance, and curated digital and physical presences driven by self-monetization. I look toward how the mediation of girlboss feminism utilizes branded and affective engagements with representational politics, discourses of authenticity and rebellion, as well as meritocratic aspiration to promote cultural interest in conceptualizing feminism in ways that are divorced from collective, intersectional struggle. I question the stakes involved in reducing feminist interrogations and commitments to discourses of representation, visibility, and meritocracy. I argue that while girlboss feminism may facilitate individual opportunities for stability and advancement under neoliberal constraints, the proliferation of girlboss feminism as an emergent and mediated thread of neoliberal feminism plays a vital role in perpetuating the severe inequalities required to sustain racial capitalism as an oppressive political-economic and socio-cultural framework. I look to three key spaces: wellness culture, self-help coaching, and multi-level marketing to understand how feminism and racial capitalism grow intertwined via mediated formations of girlboss culture. In charting these formations, I initiate conversations that investigate the nuances and complications of feminist movement work under racial capitalism. I hope that identifying these emergent threads of neoliberal feminism provides insight on how intersectional and liberatory modes of collective struggle might remain more nimble, and generate more political power, than incarnations of feminism that reinforce an oppressive status quo

Production of large-particle-size monodisperse latexes

The research program achieved two objectives: (1) it has refined and extended the experimental techniques for preparing monodisperse latexes in quantity on the ground up to a particle diameter of 10 microns; and (2) it has demonstrated that a microgravity environment can be used to grow monodisperse latexes to larger sizes, where the limitations in size have yet to be defined. The experimental development of the monodisperse latex reactor (MLR) and the seeded emulsion polymerizations carried out in the laboratory prototype of the flight hardware, as a function of the operational parameters is discussed. The emphasis is directed towards the measurement, interpretation, and modeling of the kinetics of seeded emulsion polymerization and successive seeded emulsion polymerization. The recipe development of seeded emulsion polymerization as a function of particle size is discussed. The equilibrium swelling of latex particles with monomers was investigated both theoretically and experimentally. Extensive studies are reported on both the type and concentration of initiators, surfactants, and inhibitors, which eventually led to the development of the flight recipes. The experimental results of the flight experiments are discussed, as well as the experimental development of inhibition of seeded emulsion polymerization in terms of time of inhibition and the effect of inhibitors on the kinetics of polymerization

Deep learning in food category recognition

Integrating artificial intelligence with food category recognition has been a field of interest for research for the past few decades. It is potentially one of the next steps in revolutionizing human interaction with food. The modern advent of big data and the development of data-oriented fields like deep learning have provided advancements in food category recognition. With increasing computational power and ever-larger food datasets, the approach’s potential has yet to be realized. This survey provides an overview of methods that can be applied to various food category recognition tasks, including detecting type, ingredients, quality, and quantity. We survey the core components for constructing a machine learning system for food category recognition, including datasets, data augmentation, hand-crafted feature extraction, and machine learning algorithms. We place a particular focus on the field of deep learning, including the utilization of convolutional neural networks, transfer learning, and semi-supervised learning. We provide an overview of relevant studies to promote further developments in food category recognition for research and industrial applicationsMRC (MC_PC_17171)Royal Society (RP202G0230)BHF (AA/18/3/34220)Hope Foundation for Cancer Research (RM60G0680)GCRF (P202PF11)Sino-UK Industrial Fund (RP202G0289)LIAS (P202ED10Data Science Enhancement Fund (P202RE237)Fight for Sight (24NN201);Sino-UK Education Fund (OP202006)BBSRC (RM32G0178B8

Contemporary Topics in Patient Safety

As healthcare systems continue to evolve, it is clear that providing safe, high-quality care to patients is an extremely complex process. Ranging from multi-disciplinary teams to bedside care, virtually every aspect of the patient-care experience provides us with an opportunity for doing things better, from improving efficiency, safety, and overall outcomes to reducing costs and promoting team synergy. This book, the fifth in our patient safety series collection, consists of chapters that help explore key concepts related to both the safety and quality of care. In a departure from the vignette-driven format of our earlier books, this installment gravitates toward discussing frameworks, theoretical considerations, team-centric approaches, and a variety of other concepts that are critical to both our understanding and the implementation of safer and better-performing health systems. We also feel that the knowledge presented herein increasingly applies across the world, especially as global health systems evolve and mature over time. It is our goal to improve the recognition of potential opportunities that will highlight various aspects of the delivery of healthcare and thus contribute to better patient experiences, with safety at the forefront. Topics covered in this volume, as well as the previous volumes, highlight the critical importance of identifying and addressing opportunities for improvement, not as one-time events, but rather as continuous, hardwired institutional processes

The Globalization of Traditional Medicine in Northern Peru: From Shamanism to Molecules

Northern Peru represents the center of the Andean “health axis,” with roots going back to traditional practices of Cupisnique culture (1000 BC). For more than a decade of research, semistructured interviews were conducted with healers, collectors, and sellers of medicinal plants. In addition, bioassays were carried out to evaluate the efficacy and toxicity of plants found. Most of the 510 species encountered were native to Peru (83%). Fifty percent of the plants used in colonial times have disappeared from the pharmacopoeia. Market vendors specialized either on common and exotic plants, plants for common ailments, and plants only used by healers or on plants with magical purposes. Over 974 preparations with up to 29 different ingredients were used to treat 164 health conditions. Almost 65% of the medicinal plants were applied in these mixtures. Antibacterial activity was confirmed in most plants used for infections. Twenty-four percent of the aqueous extracts and 76% of the ethanolic extracts showed toxicity. Traditional preparation methods take this into account when choosing the appropriate solvent for the preparation of a remedy. The increasing demand for medicinal species did not increase the cultivation of medicinal plants. Most species are wild collected, causing doubts about the sustainability of trade

Prevention and Treatment of Atherosclerosis

This open access book is supported by the European Atherosclerosis Society Association (EAS). This follow-up edition of the well-received Handbook volume 'Atherosclerosis: Diet and Drugs' reflects the state-of-the-art and most recent developments in atherosclerosis research. Outstanding international experts give a comprehensive overview of the field covering topics, such as improving the treatment focusing on established targets, novel drug developments addressing pre-defined targets, hypothesis-based and hypothesis-free approaches to unravel novel targets

Citizen-led Work using Social Computing and Procedural Guidance

Online platforms enable people to interact with friends, family, and the world at large. How might people go beyond sharing stories and ideas to building and testing theories in the real world? While many are motivated to dig deeper into their lived experience, limited expertise and lack of platform support make complex activities like experimentation dauntingly hard. Novices benefit greatly from expert guidance: this thesis advocates baking the guidance into the interface itself.This dissertation introduces procedural guidance to build just-in-time expertise for difficult tasks. Procedural guidance has multiple advantages: it is minimal, leverages teachable moments, and can be ability-specific. This dissertation instantiates this insight of procedural guidance through a sequence of increasingly complex social computing systems: Gut Instinct for curating ideas, Docent for generating hypotheses, and Galileo for citizen-led experiments.Gut Instinct hosts online learning materials and enables people to collaboratively brainstorm potential influences on people’s microbiome. Docent explicitly teaches people to create hypotheses by combining personal insights and online learning with task-specific scaffolding. Finally, Galileo reifies experimentation in the software, provides multiple roles for contribution, and automatically manages interdependencies. Multiple evaluations—controlled experiments and field deployments with online communities including American Gut participants—demonstrate that procedural guidance enables people to transform intuitions to hypotheses and structurally-sound experiments. By enabling people to draw on lived experience, this dissertation harbingers a future where people can convert their intuitions to actionable plans and implement these plans with online communities. This dissertation concludes by discussing opportunities for complex work using social computing platforms