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Re-Imagining Soccer Stadium Design
We know of the existence of many stadiums around the
world, but as technology and culture change, so must we
change the way we design sporting venues. At one point, we
saw the Roman Coliseum as a standard for designing sporting
venues. We can speculate that the focus during the time was
built for functionality and capacity. There was no attention to
fan experience and aesthetics. Since then, we have learned
to condense the scale of these stadiums while updating to
the newest technologies and practices that are being applied
to these stadiums across the world. We have also cultivated
sports in our cultures and cities.
This thesis proposes a soccer stadium located in the
downtown area of Milwaukee, Wisconsin, known as the Iron
District, to bring back pedestrian foot traffic by creating
a soccer stadium venue and fan base in the city. This idea
could introduce many opportunities for the city of Milwaukee
by integrating a professional soccer team that would be
ingrained into the culture and multi-generational group in the
area. It would also open up opportunities for economic, social,
and environmental growth
Sustainable Design & Ecotourism: A Manual on Sustainable Design Methods and Ecotourism Practices on the North Shore
The Minnesota North Shore boasts vast natural beauty, a plethora of recreational
activities, and a thriving tourism industry. In order to protect the North Shore?s natural scenery and tourism industry, sustainability and ecotoruism must be heavily considered when designing here. This research report aims to provide sustainable design methods and ecotourism tactics that are specifically catered towards the North Shore. Through literature review and case study
examination, this report is a compiled list of methods and tactics that provide design options to reduce impact on natural scenery, are environmentally concious, and benifit tourism
Digital Deception and the Illusion of Choice: How Dark Patterns Undermine Informed Consent GDPR
Our investigation builds on prior research to examine global e-commerce data privacy, focusing on compliance with GDPR and CCPA laws introduced in 2018 and 2020. This study reveals uneven adherence to GDPR and CCPA regulations across e-commerce platforms, underscoring the persistent use of dark patterns. UK and French sites lead in GDPR compliance at 85% and 80%, while U.S. sites showed 65% adherence to CCPA. Turkish websites displayed a surprising 85% - 95% compliance with European standards. In contrast, South African platforms showed a low 30% compliance, often utilizing implicit consent methods. These findings expose significant gaps and inconsistencies in the application of data privacy laws across continents and nations. We advocate for a global standardization of data protection regulations to protect consumers and create a level playing field for businesses in the digital marketplace
Off The Beaten Warpath: Native Representation and Themes in Chris Claremont?s X-Men
?Off the Beaten Warpath?: Native Representation and Themes in Chris Claremont?s X-Men Chris Claremont, the long-time writer on several X-Men titles, used the opportunity to develop his own cast of original and highly diverse characters. Several of these new characters either were of Native heritage or became Native through the course of the narrative, and he created one of the first storylines focusing on Native themes, The Demon Bear Saga. The British-born Claremont uses Native themes throughout his tenure on the X-Men titles, sometimes adhering to, but often defying the conventions associated with Native American literature. Although not without some problematic elements, by presenting Native characters and themes in a complex, well-developed manner, Claremont?s work is one of the first mainstream comic book titles to subvert stereotypical depictions of Native Americans. Claremont?s X-Men provides a unique opportunity to evaluate the effectiveness of Native themes when presented by a non-native author
In Touch with Prairie Living, January 2023
January 2023 column for North Dakota and South Dakota newspapers
Unlocking Drone Potential in the Pharma Supply Chain: A Hybrid Machine Learning and GIS Approach
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM).In major metropolitan areas, the growing levels of congestion pose a significant risk of supply chain disruptions by hindering surface transportation of commodities. To address this challenge, cargo drones are emerging as a potential mode of transport that could improve the reliability of the pharmaceutical supply chain and enhance healthcare. This study proposes a novel hybrid workflow that combines machine learning and a geographic information system to identify the fewest locations where providers can initiate cargo drone services to yield the greatest initial benefits. The results show that by starting a service in only nine metropolitan areas across four regions of the contiguous United States, drones with a robust 400-mile range can initially move more than 28% of the weight of all pharmaceuticals. The medical community, supply chain managers, and policymakers worldwide can use this workflow to make data-driven decisions about where to access the largest opportunities for pharmaceutical transport by drones. The proposed approach can inform policies and standards such as Advanced Air Mobility to help address supply chain disruptions, reduce transportation costs, and improve healthcare outcomes.The U.S. Department of Transportation supported this work, grant number [Mountain Plains Consortium].https://www.ugpti.org/about/staff/viewbio.php?id=7
Novel Techniques Using Graph Neural Networks (GNNS) for Anomaly Detection
This paper explores 2 new mechanisms that leverage graphs for anomaly detection. The novelty in approach one is to leverage the global attention capability of transformer architecture using a Graph Attention Network (GAT) with Chebyshev Laplacian for representation. This method leverages the GAT to learn attention weights for the graph features obtained through
Chebyshev expansion of the Laplacian. This method focuses on capturing higher-order graph features with reduced computational complexity and utilizing attention mechanisms for improved feature relevance in detecting anomalies.
The second approach leverages Fisher information to find anomalous graphs with ChebNet module for graph analysis. The ChebNet module allows for deep learning on graphs, capturing complex patterns and relationships that can help in detecting fraud more accurately. Using Fisher information improves model interpretability while ChebNet modules help leverage
spectral properties
Versatile Venue: How Can the Acoustics of a Space Be Optimized for Varied Performances?
What are the ideal parameters for designing a concert
hall, and how can these be integrated into a versatile
venue? This is the main goal this research report aims
to solve. Case studies, literature, and simulation help
to form a clear thought for design, and venue that can
accommodate and maximize acoustical performance
of the space. When designing and constructing a
performance space there are a wide variety of factors
that influence the overall design of the venue. Shape,
volume, materials, location, all contribute to the
acoustics of space. Each aspect must synchronize
with the others to achieve desired acoustics
On the Feasibility of Machine Learning Algorithms Towards Low-Cost Flow Cytometry
Utilization low cost, scalable architectures for detection of specific cells for both mass flow and minute incidence analysis is something that is attractive for the clinical researcher, in order to expand access to otherwise costly devices. We demonstrate the use of a low-cost microfluidics device that performs detection of beads and cells, both for cell counting and for discrete cell type identification. This was accomplished using polymer technology via implementation of polydimethylsiloxane microfluidics, which were created by using a 3-D printed mold, and machine learning technologies with algorithms that can inference and track analyte particles within the microfluidic of interest. Our demonstration of our microfluidics device is proof that creating low cost instruments for analyte detection using current machine learning models and hardware is possible. We foresee the scalability of this design to be immense, in terms of throughput rate, inexpensiveness of product, and multiple
different parameters and classes that can be searched for
Pier Luigi Penzo: Football on Water and the Stadium Experience
The stadium experience is one that has evolved and been enjoyed for centuries. Stadium architecture, technology, and the sporting event itself has changed greatly yet many events tend to miss out on the atmospheric and experience potential. Stadium size has contributed to this as fans have started to feel alienated at events. Smaller market teams have especially missed out on this atmosphere as most designers assume capacity is the only contribution to a positive experience. This thesis will investigate how a stadium contributes to the overall sporting event experience, the community as a whole, and will attempt to create a list of design considerations that can be applied to existing and future venues with an emphasis on limited market clients. The design principles will be derived from historical and case study research of a variety of venues and experiences worldwide. The principles described will be implemented in the design of the Pier Luigi Penzo stadium in Venice, Italy. The Pier Luigi Penzo, like other successful venues, can stand as an example for how architecture can influence the stadium experience and contribute to communities in a positive fashion