1,283 research outputs found
Fictocritical Cyberfeminism: A Paralogical Model for Post-Internet Communication
This dissertation positions the understudied and experimental writing practice of fictocriticism as an analog for the convergent and indeterminate nature of âpost-Internetâ communication as well a cyberfeminist technology for interfering and in-tervening in metanarratives of technoscience and technocapitalism that structure contemporary media. Significant theoretical valences are established between twen-tieth century literary works of fictocriticism and the hybrid and ephemeral modes of writing endemic to emergent, twenty-first century forms of networked communica-tion such as social media. Through a critical theoretical understanding of paralogy, or that countercultural logic of deploying language outside legitimate discourses, in-volving various tactics of multivocity, mimesis and metagraphy, fictocriticism is ex-plored as a self-referencing linguistic machine which exists intentionally to occupy those liminal territories âsomewhere in among/between criticism, autobiography and fictionâ (Hunter qtd. in Kerr 1996). Additionally, as a writing practice that orig-inated in Canada and yet remains marginal to national and international literary scholarship, this dissertation elevates the origins and ongoing relevance of fictocriti-cism by mapping its shared aims and concerns onto proximal discourses of post-structuralism, cyberfeminism, network ecology, media art, the avant-garde, glitch feminism, and radical self-authorship in online environments. Theorized in such a matrix, I argue that fictocriticism represents a capacious framework for writing and reading media that embodies the self-reflexive politics of second-order cybernetic theory while disrupting the rhetoric of technoscientific and neoliberal economic forc-es with speech acts of calculated incoherence. Additionally, through the inclusion of my own fictocritical writing as works of research-creation that interpolate the more traditional chapters and subchapters, I theorize and demonstrate praxis of this dis-tinctively indeterminate form of criticism to empirically and meaningfully juxtapose different modes of knowing and speaking about entangled matters of language, bod-ies, and technologies. In its conclusion, this dissertation contends that the âcreative paranoiaâ engendered by fictocritical cyberfeminism in both print and digital media environments offers a pathway towards a more paralogical media literacy that can transform the terms and expectations of our future media ecology
Evaluating the sustainability and resiliency of local food systems
With an ever-rising global population and looming environmental challenges such as climate change and soil degradation, it is imperative to increase the sustainability of food production. The drastic rise in food insecurity during the COVID-19 pandemic has further shown a pressing need to increase the resiliency of food systems. One strategy to reduce the dependence on complex, vulnerable global supply chains is to strengthen local food systems, such as by producing more food in cities. This thesis uses an interdisciplinary, food systems approach to explore aspects of sustainability and resiliency within local food systems.
Lifecycle assessment (LCA) was used to evaluate how farm scale, distance to consumer, and management practices influence environmental impacts for different local agriculture models in two case study locations: Georgia, USA and England, UK. Farms were grouped based on urbanisation level and management practices, including: urban organic, peri-urban organic, rural organic, and rural conventional. A total of 25 farms and 40 crop lifecycles were evaluated, focusing on two crops (kale and tomatoes) and including impacts from seedling production through final distribution to the point of sale. Results were extremely sensitive to the allocation of composting burdens (decomposition emissions), with impact variation between organic farms driven mainly by levels of compost use. When composting burdens were attributed to compost inputs, the rural conventional category in the U.S. and the rural organic category in the UK had the lowest average impacts per kg sellable crop produced, including the lowest global warming potential (GWP). However, when subtracting avoided burdens from the municipal waste stream from compost inputs, trends reversed entirely, with urban or peri-urban farm categories having the lowest impacts (often negative) for GWP and marine eutrophication. Overall, farm management practices were the most important factor driving environmental impacts from local food supply chains.
A soil health assessment was then performed on a subset of the UK farms to provide insight to ecosystem services that are not captured within LCA frameworks. Better soil health was observed in organically-farmed and uncultivated soils compared to conventionally farmed soils, suggesting higher ecosystem service provisioning as related to improved soil structure, flood mitigation, erosion control, and carbon storage. However, relatively high heavy metal concentrations were seen on urban and peri-urban farms, as well as those located in areas with previous mining activity. This implies that there are important services and disservices on farms that are not captured by LCAs.
Zooming out from a focus on food production, a qualitative methodology was used to explore experiences of food insecurity and related health and social challenges during the COVID-19 pandemic. Fourteen individuals receiving emergency food parcels from a community food project in Sheffield, UK were interviewed. Results showed that maintaining food security in times of crisis requires a diverse set of individual, household, social, and place-based resources, which were largely diminished or strained during the pandemic. Drawing upon social capital and community support was essential to cope with a multiplicity of hardship, highlighting a need to develop community food infrastructure that supports ideals of mutual aid and builds connections throughout the food supply chain. Overall, this thesis shows that a range of context-specific solutions are required to build sustainable and resilient food systems. This can be supported by increasing local control of food systems and designing strategies to meet specific community needs, whilst still acknowledging a shared global responsibility to protect ecosystem, human, and planetary health
Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5
This ïŹfth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different ïŹelds of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered.
First Part of this book presents some theoretical advances on DSmT, dealing mainly with modiïŹed Proportional ConïŹict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classiïŹers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes.
Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identiïŹcation of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classiïŹcation.
Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classiïŹcation, and hybrid techniques mixing deep learning with belief functions as well
Optimising inertial focusing for high concentration processing : application to microalgal dewatering
This project focuses on addressing some of the key challenges currently found within the
field of inertial focusing microfluidics. A specific goal was to determine the potential of
inertial focusing for use as an alternative to existing harvesting technology for the
dewatering of microalgal cultures. This application was investigated to address the
challenges faced by existing dewatering technology, due to the dilute nature of the
cultures and the challenges faced specifically in the separation of the small diameter cells.
Inertial focusing microfluidics has shown success relating to the high efficiency
concentration of small diameter particles but requires further improvement in its
application to cell suspensions in place of rigid particles and over higher concentration
samples, where performance is seen to degrade. These factors would act to inhibit
potential application to microalgal harvest and it is these challenges that are the focus of
this project.
The work within the project has achieved successful separation, >95% recovery
efficiency, of small microalgal cells (<10 ”m) for standard, dilute, culture concentrations
using a spiral inertial focusing microfluidic device. This result shows that inertial
focusing technology can be used for the low concentration separation of small cell
diameter microalgal cultures, where existing harvesting technologies incur challenges,
while maintaining the high efficiencies seen when using uniform and rigid particles.
A new method for operation of the inertial focusing microfluidic devices was developed,
enabling application of the devices to the concentration of microalgal culture from dilute
to high concentrations (0.5% to >48.8% v/v). This work achieved concentration factors
and power consumption values similar to existing harvesting methods, 130 and 1.1
kWh/m3
respectively. It was also determined that any processing in the inertial focusing
microfluidic devices tested resulted in reduced cell propagation, indicating cell damage,
with the resulting cell damage being amplified by recirculation within the devices. This
shows that further investigation into the effect of processing using these inertial focusing
microfluidic devices on cell health is required to investigate the potential scope for
application within microalgal processing.
In addition to these results, current limitations in the manufacturing methods for inertial
focusing devices were identified and an improved method for the in-house, low-cost rapid
prototyping of spiral inertial focusing microfluidic device developed and tested within
this project. This method was shown to produce spiral inertial focusing devices able to
survive the required operational back pressures of >25 bar. Subsequent testing of these
manufactured devices showed successful separation of microalgal cultures, achieving
>95% recovery efficiency. This result showed successful application of the developed
method. However, it was also shown that this method requires further development for
successful application to small, <10 ”m, microalgae through reduction of channel height
Tradition and Innovation in Construction Project Management
This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings
The development of roadside green swales in the Chinese Sponge City Program: Challenges and opportunities
Roadside green swales have emerged as popular stormwater management infrastructure in urban areas, serving to mitigate stormwater pollution and reduce urban surface water discharge. However, there is a limited understanding of the various types, structures, and functions of swales, as well as the potential challenges they may face in the future. In recent years, China has witnessed a surge in the adoption of roadside green swales, especially as part of the prestigious Sponge City Program (SCP). These green swales play a crucial role in controlling stormwater pollution and conserving urban water resources by effectively removing runoff pollutants, including suspended solids, nitrogen, and phosphorus. This review critically examines recent research findings, identifies key knowledge gaps, and presents future recommendations for designing green swales for effective stormwater management, with a particular emphasis on ongoing major Chinese infrastructure projects. Despite the growing global interest in bioswales and their significance in urban development, Chinaâs current classification of such features lacks a clear definition or specific consideration of bioswales. Furthermore, policymakers have often underestimated the adverse environmental effects of road networks, as reflected in existing laws and planning documents. This review argues that the construction and maintenance of roadside green swales should be primarily based on three critical factors: Wellthought- out road planning, suitable construction conditions, and sustainable long-term funding. The integration of quantitative environmental standards into road planning is essential to effectively address the challenge of pollution from rainfall runoff. To combat pollution associated with roads, a comprehensive assessment of potential pollution loadings should be carried out, guiding the appropriate design and construction of green swales, with a particular focus on addressing the phenomenon of first flush. One of the major challenges faced in sustaining funds for ongoing maintenance after swale construction. To address this issue, the implementation of a green finance platform is proposed. Such a platform would help ensure the availability of funds for continuous maintenance, thus maximizing the long-term effectiveness of green swales in stormwater management. Ultimately, the findings of this review aim to assist municipal governments in enhancing and implementing future urban road designs and SCP developments, incorporating effective green swale strategies
Forested Watersheds and Water Supply: Exploring Effects of Wildfires, Silviculture, and Climate Change on Downstream Waters
Drinking water supplies for much of society originate in forests. To preserve the capability of these forests to produce clean and easily treatable water, source water supply and protection strategies focus in particular on potential disturbances to the landscape, which include prescribed forest harvesting and wildfires of varying intensity. While decades of work have revealed relationships between forest harvesting and stream flow response, there is a considerable lack of synthesis disentangling the interactions of climate, wildfires, stream flow, and water quality. Revealing the mechanisms for impacts on downstream waters after disturbances of harvesting and wildfire will greatly improve land and water management. In this dissertation, I combined synthesis of previously published or available data, novel mathematical analyses, and deterministic modeling to disentangle various disturbance effects and further our understanding of processes in forested watersheds. I broadly sought to explore how streamflow and water quality change after forest disturbances, and how new methods and analyses can provide insight into the biogeochemical and ecohydrologic processes changing during disturbances.
First, I examined the effect of wildfire on hydrology, and developed a novel Budyko decomposition method to separate climatic and disturbance effects on streamflow. Using a set of 17 watersheds in southern California, I showed that while traditional metrics like changes in flow or runoff ratio might not detect a disturbance effect from wildfire due to confounding climate signals, the Budyko framework can be used successfully for statistical change detection. The method was used to estimate hydrologic recovery timescales that varied between 5 and 45 years, with an increase of about 4 years of recovery time per 10% of the watershed burned.
Next, in Chapter 3 I used a meta-analysis approach to examine the effect of wildfire on water quality, using data from 121 catchments around the world. Analyzing the changes in concentrations of stream water nutrients, including carbon, nitrogen, and phosphorus, I showed that concentrations generally increased after fire. While a large amount of variability existed in the data, we found concurrent increases in the constituents after fire highlighting tight coupling of the biogeochemical cycles. Most interestingly, we found fire to increase the concentrations of biologically active nutrients like nitrate and phosphate at a greater rate than total nitrogen and phosphorus, with median increases of 40-60% in the nitrate to TN, and SRP to TP ratios.
Next, I conducted an analysis of both water quality and hydrology together after fire in Chapter 4, using a set of 29 wildfire-impacted watersheds in the United States. Concentration-discharge relationships can be used to reveal pathways and sources of elements exported from watersheds, and my overall hypothesis was that these relationships change in post-fire landscapes. I developed a new methodology, using k-means clustering, to classify watersheds as chemostatic, dilution, mobilization and chemodynamic, and explored how their position within the cluster changed in post-fire landscapes. I found that the behavior of nitrate and ammonium was increasingly chemostatic after fire, while behavior of total nitrogen, phosphorus, and organic phosphorus was increasingly mobilizing after fire.
Finally, I developed a coupled hydrology-vegetation-biogeochemistry model to simulate and elucidate processes controlling the impact of harvesting on downstream waters. I focused on the Turkey Lakes watershed where a significant amount of data has been collected on vegetation and soil nutrient dynamics, in addition to traditional streamflow and water quality metrics, and developed a novel multi-part calibration process that used measured data on stream, forest, and soil characteristics and dynamics. Future work would involve using the model to explore the data driven relationships that have been developed in the earlier chapters of the paper.
The work presented in this dissertation highlights new small and large-scale relationships between disturbances in forested watersheds and effects on downstream waters. With more threats predicted to escalate and overlap in the coming years, the novel results and methodologies that I have presented here should contribute to improving land and water management
Atmosphere(s) for Architects: Between Phenomenology and Cognition
Interfaces 5 was born to home the dialogue that the neuroscientist Michael A. Arbib and the philosopher Tonino Griffero started at the end of 2021 about atmospheric experiences, striving to bridge the gap between cognitive scienceâs perspective and the (neo)phenomenological one. This conversation progressed due to Pato Paezâs offer to participate in the webinar âArchitectural Atmospheres: Phenomenology, Cognition, and Feeling,â a roundtable hosted by The Commission Project (TCP) within the Applied Neuroaesthetics initiative. The event ran online on May 20, 2022. Bob Condia moderated the panel discussion between Suchi Reddy, Michael A. Arbib, and Tonino Griffero. The RESONANCES project was responsible for developing the editing and publishing process. This volume collects nine essays: the main chapter is âA Dialogue on Affordances, Atmospheres, and Architectureâ by Michael A. Arbib and Tonino Griffero; there are four commentaries to this text by Federico De Matteis, Robert Lamb Hart, Mark Alan Hewitt, and Suchi Reddy; Michael A. Arbib and Tonino Griffero have independently responded to the commentaries, emphasizing the opportunities and challenges of their respective approaches: cog/neuroscience and atmospherology applied to architecture; Elisabetta Canepa offers âAn Essential Vocabulary of Atmospheric Architecture,â developing an atmospherological critique of the Marianna Kistler Beach Museum of Art on the Kansas State University campus to evaluate the accuracy, coherence, and adaptability of her lexicon. Bob Condia and Mikaela Wynne provide an introduction entitled âOn Becoming an Atmospherologist: A Praxis of Atmospheres.âhttps://newprairiepress.org/ebooks/1051/thumbnail.jp
Development of NRCS Peak Rate Factors for Hydrologic Modeling in Texas
In many cases, estimation of the peak discharge is the primary goal of hydrologic modeling. We employed a dataset of 1,648 rainfall-runoff events in 104 watersheds in Texas to explore the peak rate factor (PRF) of 484 recommended by the Natural Resources Conservation Service (NRCS) for determining peak discharges with the unit hydrograph method, as well as the PRFâs dependency on watershed and storm characteristics. For each event, a unit hydrograph â assumed to follow a two-parameter Gamma distribution â was determined by deconvolving the direct runoff hydrograph with the excess rainfall hyetograph. Results showed PRFs reaching up to 2264 in Houston watersheds with a median of 135, and PRFs up to 2559 with a median of 329 for the rest of Texas. It was also found that the recommended PRF of 484 falls between the 75th and 90th percentile of the 1043 events analyzed in all regions except Houston, and is above the 98th percentile in all 605 events analyzed in Houston. Statistical analysis further proved that PRFs in Houston watersheds are significantly different from the rest of Texas.
To estimate the dependency of the PRF on watershed and storm parameters, regression analysis was performed, and results showed that the PRF is primarily dependent on the watershedâs geomorphology and the main channel slope; however, its dependency on the main channel slope was largely influenced by Houston watersheds, which are characterized by flat slopes. When regression analysis only focused on non-Houston watersheds, statistical analysis only showed dependency on the watershedâs geomorphology and not its slope. This dependency, however, although statistically significant, explains only marginally the PRF variability. It is therefore recommended that for practical applications, and in the absence of high-quality rainfall-runoff data, constant PRFs of 135 and 329 be used Houston watersheds and non-Houston Texas watersheds, respectively
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