72 research outputs found
Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico
Conference proceedings info:
ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies
Raleigh, HI, United States, March 24-26, 2023
Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center
of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático.
de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-
Church growth models and the early Quakers
This thesis explores numeric church growth generally, and the early Quaker movement specifically, within the paradigm of models. A wide variety of practitioner church-growth models have appeared since the 1890s. The emergence of Quakerism in the mid-1650s, however, has never before been explored as a model of church growth. This thesis argues that models are effective at theoretically conceptualizing church growth. Its results elevate the theoretical above the descriptive, providing generalizability. With this approach, several original contributions are made in developing a construct-based model framework and establishing a theoretical system of comparison to analyze both modern and primary texts. It is argued that the Quaker pattern of church growth, as outlined by George Fox in his journal, presents a uniquely provocative model, not elsewhere documented among church-growth model authors. Additionally, the model approach provides a systemic perspective of prior scholarship on the Quaker growth phenomenon
Gas, Water and Solid Waste Treatment Technology
This book introduces a variety of treatment technologies, such as physical, chemical, and biological methods for the treatment of gas emissions, wastewater, and solid waste. It provides a useful source of information for engineers and specialists, as well as for undergraduate and postgraduate students, in the areas of environmental science and engineering
Multiple-Criteria Decision Making
Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with imprecise, ambiguous, or vague data.This Special Issue, “Multiple Criteria Decision Making”, aims to incorporate recent developments in the area of the multi-criteria decision-making field. Topics include, but are not limited to:- MCDM optimization in engineering;- Environmental sustainability in engineering processes;- Multi-criteria production and logistics process planning;- New trends in multi-criteria evaluation of sustainable processes;- Multi-criteria decision making in strategic management based on sustainable criteria
Using Active Learning to Teach Critical and Contextual Studies: One Teaching Plan, Two Experiments, Three Videos.
Since the 1970s, art and design education at UK universities has existedas a divided practice; on the one hand applying active learning in thestudio and on the other hand enforcing passive learning in the lecturetheatre. As a result, art and design students are in their vast majorityreluctant about modules that may require them to think, read and writecritically during their academic studies. This article describes, evaluatesand analyses two individual active learning experiments designed todetermine if it is possible to teach CCS modules in a manner thatencourages student participation. The results reveal that opting foractive learning methods improved academic achievement, encouragedcooperation, and enforced an inclusive classroom. Furthermore, andcontrary to wider perception, the article demonstrates that activelearning methods can be equally beneficial for small-size as well aslarge-size groups
Advances on Smart Cities and Smart Buildings
Modern cities are facing the challenge of combining competitiveness at the global city scale and sustainable urban development to become smart cities. A smart city is a high-tech, intensive and advanced city that connects people, information, and city elements using new technologies in order to create a sustainable, greener city; competitive and innovative commerce; and an increased quality of life. This Special Issue collects the recent advancements in smart cities and covers different topics and aspects
Practical approaches to delivering pandemic impacted laboratory teaching
#DryLabsRealScience is a community of practice established to support life science educators with the provision of laboratory-based classes in the face of the COVID-19 pandemic and restricted access to facilities. Four key
approaches have emerged from the innovative work shared with the network: videos, simulations, virtual/augmented reality, and datasets, with each having strengths and weaknesses. Each strategy was used pre-COVID and has a sound theoretical underpinning; here, we explore how the pandemic has forced
their adaptation and highlight novel utilisation to support student learning in the laboratory environment during the challenges faced by remote and blended teaching
Mapping and Real-Time Navigation With Application to Small UAS Urgent Landing
Small Unmanned Aircraft Systems (sUAS) operating in low-altitude airspace require flight near buildings and over people. Robust urgent landing capabilities including landing site selection are needed. However, conventional fixed-wing emergency landing sites such as open fields and empty roadways are rare in cities. This motivates our work to uniquely consider unoccupied flat rooftops as possible nearby landing sites. We propose novel methods to identify flat rooftop buildings, isolate their flat surfaces, and find touchdown points that maximize distance to obstacles. We model flat rooftop surfaces as polygons that capture their boundaries and possible obstructions on them.
This thesis offers five specific contributions to support urgent rooftop landing. First, the Polylidar algorithm is developed which enables efficient non-convex polygon extraction with interior holes from 2D point sets. A key insight of this work is a novel boundary following method that contrasts computationally expensive geometric unions of triangles. Results from real-world and synthetic benchmarks show comparable accuracy and more than four times speedup compared to other state-of-the-art methods.
Second, we extend polygon extraction from 2D to 3D data where polygons represent flat surfaces and interior holes representing obstacles. Our Polylidar3D algorithm transforms point clouds into a triangular mesh where dominant plane normals are identified and used to parallelize and regularize planar segmentation and polygon extraction. The result is a versatile and extremely fast algorithm for non-convex polygon extraction of 3D data.
Third, we propose a framework for classifying roof shape (e.g., flat) within a city. We process satellite images, airborne LiDAR point clouds, and building outlines to generate both a satellite and depth image of each building. Convolutional neural networks are trained for each modality to extract high level features and sent to a random forest classifier for roof shape prediction. This research contributes the largest multi-city annotated dataset with over 4,500 rooftops used to train and test models. Our results show flat-like rooftops are identified with > 90% precision and recall.
Fourth, we integrate Polylidar3D and our roof shape prediction model to extract flat rooftop surfaces from archived data sources. We uniquely identify optimal touchdown points for all landing sites. We model risk as an innovative combination of landing site and path risk metrics and conduct a multi-objective Pareto front analysis for sUAS urgent landing in cities. Our proposed emergency planning framework guarantees a risk-optimal landing site and flight plan is selected.
Fifth, we verify a chosen rooftop landing site on real-time vertical approach with on-board LiDAR and camera sensors. Our method contributes an innovative fusion of semantic segmentation using neural networks with computational geometry that is robust to individual sensor and method failure. We construct a high-fidelity simulated city in the Unreal game engine with a statistically-accurate representation of rooftop obstacles. We show our method leads to greater than 4% improvement in accuracy for landing site identification compared to using LiDAR only.
This work has broad impact for the safety of sUAS in cities as well as Urban Air Mobility (UAM). Our methods identify thousands of additional rooftop landing sites in cities which can provide safe landing zones in the event of emergencies. However, the maps we create are limited by the availability, accuracy, and resolution of archived data. Methods for quantifying data uncertainty or performing real-time map updates from a fleet of sUAS are left for future work.PHDRoboticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/170026/1/jdcasta_1.pd
On Occasion: American Poetry at the Margins of the Wage, 1865-1973
“On Occasion: American Poetry at the Margins of the Wage, 1865-1973” shows how poets writing in the U.S. from the mid-nineteenth century to today have reimagined the poetic occasion—the real or imagined event that sanctions the poet to write a poem and that sets the parameters for genre and tone. Dominant histories of Western poetry suggest that the rise of the modern lyric emptied out and secularized poetry’s occasions, transforming poetry’s public events into narrow scenes of subjective experience. Against this view, I show that even as the rise of “the lyric” devalues “occasional verse,” poets not only continue to think with an expansive sense of poetry’s occasionality, they also link it in new ways to the historical movements of American capitalism. In chapters on Walt Whitman, Jean Toomer, James Schuyler, and June Jordan, I describe a discontinuous pattern in which poets reconceive the occasion as recurring, systemic, and social in response to the ongoing, crisis-ridden reproduction of capitalist social relations. In particular, these poets each link the occasion to a sense of American capitalism’s internal unevenness, both geographical and developmental, seen through the manifold relations of marginality to the wage—of un-, under-, or informal employment. Writing with an eye on dramatic movements in the re-composition of the labor pool—Emancipation, the Great Migration, deindustrialization—these poets attune the poetic occasion to the unfinished business of capitalist subsumption in the U.S. In doing so, they adapt longstanding histories of poetic genre to the struggles, determinations, and possibilities of life under capital, articulating new ways of seeing relations between poetry and history, economic and artistic value, human suffering and consolation
Alienation Effects
Exciting new scholarship has been emerging as performance studies scholars begin to turn their attention to the performance of politics, nationhood, and jurisprudence. Branislav Jakovljevic’s project on the history and eventual demise of the former Yugoslavia demonstrates how fruitful this approach can be. Jakovljevic considers the concept of theatricality as central to understanding the events that took place in Yugoslavia. He examines the country’s trials, state ceremonies and festivals, army maneuvers, propaganda, and pop culture as “rehearsals and temporary enactments of an ideologically formulated future.” His first chapter reveals the surrealist, avant-garde origins of key members of the Yugoslav bureaucracy after WWII, suggesting that those connections helped the culture of socialist Yugoslavia become a performance-centered culture. Continuing to explore the relationship between the political avant-garde and the artistic avant-garde, he looks at the spectacle of student demonstrations in Belgrade in 1968, and, in their aftermath, the rise of performance art in the country. The third chapter (included here) zeros in on the various political performances of Slobodan Milosevic, including his courtroom testimony at the ICTY, the International Criminal Tribunal for the former Yugoslavia. The fourth chapter discusses the “Peter Handke Affair,” when the Austrian playwright had a major prize revoked after he attended Milosevic’s funeral and recited a poem he had written in Milosevic’s honor
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