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Informal Labor In The Sharing Economy: Everyone Can Be A Record Producer, David Arditi Jan 2026

Informal Labor In The Sharing Economy: Everyone Can Be A Record Producer, David Arditi

Fast Capitalism

No abstract provided.


Travel Writing: A Characteristic Intercultural Modality In Laurent Gaudé'S Novel Eldorado, Allal Boumalik, Salma Afifi Jan 2026

Travel Writing: A Characteristic Intercultural Modality In Laurent Gaudé'S Novel Eldorado, Allal Boumalik, Salma Afifi

Faits de Langue et Société (FLS)

In this article, we will try to work on the intercultural identity that characterizes the two main characters in the novel Eldorado by Laurent Gaudé, a contemporary French writer. In this polyphonic text, two narrative voices take turns to oppose two different points of view of the illegal immigration that has grown in the last decades. Gaudé cries out, through this novel, for human injustice and for the fate of immigrants who arm themselves with an armful of utopian dreams to reach El Dorado. In Eldorado, Laurent Gaudé invites his readers to be vigilant in order to follow the thread …


A Jeremiad For Ben: Things Fall Apart, Scott G. Mcnall Jan 2026

A Jeremiad For Ben: Things Fall Apart, Scott G. Mcnall

Fast Capitalism

No abstract provided.


5 Minutes To Hell. Time To Tell The Truth. The Disintermediated Doctoral Student, Tara Brabazon Jan 2026

5 Minutes To Hell. Time To Tell The Truth. The Disintermediated Doctoral Student, Tara Brabazon

Fast Capitalism

No abstract provided.


Algorithmic Capitalism In The Epoch Of Digital Reason, Michael A. Peters Jan 2026

Algorithmic Capitalism In The Epoch Of Digital Reason, Michael A. Peters

Fast Capitalism

No abstract provided.


Exploring The Chaos Of Commodification: From The Arcades To The Cascades With Benjamin And Leopold, Timothy W. Luke Jan 2026

Exploring The Chaos Of Commodification: From The Arcades To The Cascades With Benjamin And Leopold, Timothy W. Luke

Fast Capitalism

No abstract provided.


Toward A Theory Of Economic Development As A Mode Of Flash Capitalism, Robert Kirsch Jan 2026

Toward A Theory Of Economic Development As A Mode Of Flash Capitalism, Robert Kirsch

Fast Capitalism

No abstract provided.


(Auto)Biography And Social Theory: A Perspective On The Life And Work Of Ben Agger (1953-2015), Lukas Szrot Jan 2026

(Auto)Biography And Social Theory: A Perspective On The Life And Work Of Ben Agger (1953-2015), Lukas Szrot

Fast Capitalism

No abstract provided.


Abject Futures: The (Re)Negotiation Of Nafta And The Canadian Power Elite, Dean Ray Jan 2026

Abject Futures: The (Re)Negotiation Of Nafta And The Canadian Power Elite, Dean Ray

Fast Capitalism

This paper draws upon the critical political economy tradition in Canada to examine the renegotiation of NAFTA and the class interests at work in the final agreement. It draws on a range of ethnographic and media sources in its argumentation. The paper provides a comprehensive review of Canadian Political Economy before it turns to the negotiation and the actions of Foreign Affairs Minister Chrystia Freeland. It is argued that Freeland was adept at appearance management and manipulating media presentations of herself to make the negotiation seem more laboured then it was. In the end, the agreement protected Canada's crown jewel, …


Introduction: The Contradictions Of Opposition To Free Trade, David M. Arditi Jan 2026

Introduction: The Contradictions Of Opposition To Free Trade, David M. Arditi

Fast Capitalism

Author Biography

David M. Arditi, University of Texas Arlington

David Arditi is an Associate Professor of Sociology and Director of the Center for Theory at the University of Texas at Arlington. He holds a PhD in Cultural Studies from George Mason University. His research addresses the impact of digital technology on society and culture with a specific focus on music. Arditi is author of iTake-Over: The Recording Industry in the digital era. Arditi serves as Editor of Fast Capitalism. In 2016, he developed MusicDetour, a local music archive available for everyone to stream free music.



Full Issue, Fast Capitalism Editorial Team Jan 2026

Full Issue, Fast Capitalism Editorial Team

Fast Capitalism

No abstract provided.


An Llm Agent For Cyber Threat Intelligence Gathering, Chris Begines Jan 2026

An Llm Agent For Cyber Threat Intelligence Gathering, Chris Begines

ERAU-NASA-NSF Aerospace Cybersecurity Workshop

No abstract provided.


System For Ai-Driven Ui Control Via A Hardware Actuator Emulating A Human Interface Device, Shashwat Razdan Jan 2026

System For Ai-Driven Ui Control Via A Hardware Actuator Emulating A Human Interface Device, Shashwat Razdan

Defensive Publications Series

The ability of intelligent agents to perform complex, cross-application tasks may be constrained by a dependency on application-specific programming interfaces (APIs), which can limit interaction with user interfaces and adaptation to dynamic visual changes. A system can employ a closed-loop perception-action cycle where a multimodal intelligent agent analyzes visual data from a screen of a host device, such as a smartphone or computer, to predict a next action. A control application can translate this action into a sequence of low-level human interface device events. A peripheral hardware actuator device may receive these events and inject them into the host device's …


Conditional Execution Of Compiler Passes Based On Per-Script Feature Detection, Rishipal Singh Bhatia, Laura Harker Jan 2026

Conditional Execution Of Compiler Passes Based On Per-Script Feature Detection, Rishipal Singh Bhatia, Laura Harker

Defensive Publications Series

Source-to-source compilers may perform inefficiently by executing transpilation passes on scripts that do not contain the specific language features a pass is designed to transform, potentially leading to redundant processing. A compiler can analyze a script to generate a per-script feature map, for example, by identifying language features in its abstract syntax tree (AST). Before executing a transpilation pass, the compiler can check this map and may bypass the pass for that script if the specific feature targeted by the pass is not present. This feature map can also be dynamically updated throughout the compilation process as other passes transform …


Creator Biographies, The Stimulus Team Jan 2026

Creator Biographies, The Stimulus Team

Stimulus: A Medical Humanities Journal

No abstract provided.


Intelligent Skies: Deep Learning Architectures For Scalable Aviation Safety Systems, Amine Khelifi Jan 2026

Intelligent Skies: Deep Learning Architectures For Scalable Aviation Safety Systems, Amine Khelifi

Theses and Dissertations

The growing complexity of aviation operations, particularly in rotorcraft and vertical flight necessitates the development of intelligent, automated systems to enhance safety and situational awareness. This thesis investigates the application of artificial intelligence (AI), with a focus on deep learning (DL), to address critical safety challenges in aviation. Four core use cases are examined: helicopter cockpit flight data monitoring, runway detection, helipad segmentation, and obstacle localization around rotorcraft landing zones. Each application targets a specific gap in current aviation infrastructure, with an emphasis on operational needs identified by the Federal Aviation Administration (FAA). Leveraging a range of DL architectures, including …


Metal Free Multicomponent C-C And C-N Bond Formation Via Cross – Coupling And Cross – Dehydrogenative Coupling Methodologies For The Synthesis Of Diversely Functionalized N – And O – Heterocyclic Compounds, Reicha Pandey Ms Jan 2026

Metal Free Multicomponent C-C And C-N Bond Formation Via Cross – Coupling And Cross – Dehydrogenative Coupling Methodologies For The Synthesis Of Diversely Functionalized N – And O – Heterocyclic Compounds, Reicha Pandey Ms

Theses and Dissertations

Heterocyclic compound is a significant domain of organic chemistry that focuses with synthetic, design and characteristics. This molecule is characterized by ring structure including one or more atom of an elements other than carbon (C), typically nitrogen (N), Oxygen (O) or Sulphur (S). The synthesis of heterocyclic compound via sustainable strategy encompasses various approaches such as design and implementation of real time analysis aimed at pollution prevention. It demonstrates wide range of medicinal application by showing various activities such as anticancer, anti-inflammatory, anti-microbial and many more. Additionally, many functional materials including dye, polymers etc. are the other application of heterocyclic …


Unh Online Degree Programs Ranked Among Best In State And Region, Robbin Ray Jan 2026

Unh Online Degree Programs Ranked Among Best In State And Region, Robbin Ray

Media Relations

No abstract provided.


Analysis Of Activated Carbon Fiber (Acf) As Particulate Filtration And Volatile Organic Compound (Voc) Media For The Development Of A Dual-Air Purifying Facepiece Respirator, Brie Mcmahan Jan 2026

Analysis Of Activated Carbon Fiber (Acf) As Particulate Filtration And Volatile Organic Compound (Voc) Media For The Development Of A Dual-Air Purifying Facepiece Respirator, Brie Mcmahan

ETDs from 2020-2029

Exposure to particulate matter (PM) and volatile organic compounds (VOCs) in occupational or public settings poses adverse health outcomes such as respiratory, cardiovascular, reproductive, neurological, carcinogenic morbidity and mortality. Many occupational settings expose workers to PM and VOC concurrently, yet most commercially available respirators are designed to address either particulates or vapors alone. This includes air-purifying respirators (APRs), powered air-purifying respirators (PAPRs), and filtering facepiece respirators (FFRs) with nuisance-level vapor protection, often limited by bulk, discomfort, high pressure drop, and misuse. We identified a need for alternative dual-exposure media and a respiratory protection device that is lighter, and more comfortable …


Understanding Mobility Limitations And Public Transportation Accessibility For People With Disabilities, Jada Meria Stringer Jan 2026

Understanding Mobility Limitations And Public Transportation Accessibility For People With Disabilities, Jada Meria Stringer

ETDs from 2020-2029

Mobility for people with disabilities (PWDs) depends on both the availability of transportation and public services and the accessibility of these systems. The presence of public transportation systems does not ensure usability. Vehicles, infrastructure, and the built environment must be designed to accommodate diverse physical, sensory, cognitive, and other needs. PWDs must also be able to navigate public buildings and surrounding spaces safely and comfortably. This thesis examines mobility limitations for PWDs in India and the United States, focusing on accessibility along the full mobility chain. A review of existing literature provides context on accessibility policies, design standards, and the …


Untold Journeys: A Case Study Of Attrition In Alabama’S Public School Teaching Workforce, Jessica Claborn Rose Jan 2026

Untold Journeys: A Case Study Of Attrition In Alabama’S Public School Teaching Workforce, Jessica Claborn Rose

ETDs from 2020-2029

This exploratory multiple-case study investigates the crisis of teacher attrition among early childhood and elementary education graduates from Alabama-based teacher education programs (TEPs) who either avoided public-school teaching or left the profession within three years. The research, guided by Bandura’s social cognitive theory (SCT) and Maslow’s human motivation theory, utilized a qualitative design involving individual interviews with ten teacher leavers (TLs), and five TEP faculty members. The findings reveal that attrition is a multi-faceted crisis rooted in systemic failures, coalescing around two overarching factors: effectiveness of support systems and a collection of barriers. Consistent with SCT, low self-efficacy, resulting from …


Biomineralization Of Low Temperature Plasma(Ltp) Modified Polymeric Biomaterials And Scaffolds, John Patrick Bradford Jan 2026

Biomineralization Of Low Temperature Plasma(Ltp) Modified Polymeric Biomaterials And Scaffolds, John Patrick Bradford

ETDs from 2020-2029

Bio-integration, specifically osseo-integration of bone implants and scaffolds, are vital for the success of implants and bone tissue engineering (BTE). Calcification can be defined as the deposition of calcium compounds as either calcium phosphate(CaP) minerals consisting of hydroxyapatite(HAP) or CaP salts. The significance of the variety of phases of CaP is that mature bone matrix is composed of 65% CaP mineral. Many investigators have attempted to model the natural matrix by producing materials containing calcium phosphate in both amorphous CaP or in the more crystalline HAP form, with biomaterials (both synthetic and biological). Biomimetic CaP formation is a sign of …


Development Of Human Trophoblast Cell Surface Antigen-2 (Trop-2) Specific Radiopharmaceutical Tracers, Arnav Vipulkumar Patel Jan 2026

Development Of Human Trophoblast Cell Surface Antigen-2 (Trop-2) Specific Radiopharmaceutical Tracers, Arnav Vipulkumar Patel

ETDs from 2020-2029

Trophoblast cell surface antigen 2 (Trop2) is closely related to the development and progression of triple-negative breast cancers (TNBC) and is also being investigated as a pan-cancer biomarker. Trop-2 tumorigenesis is mediated by the calcium ion signaling pathways. By accurately predicting and targeting Trop-2 for immunotherapy, precision therapy is crucial. Trop-2 is overexpressed in tumor tissues compared to normal tissues, which makes it a promising molecular target for cancer-targeted therapy. This thesis reports the development and preclinical evaluation of two novel Trop-2-specific radiopharmaceutical tracers derived from the clinically approved antibody-drug conjugate Sacituzumab Govitecan (SG): a full antibody drug conjugate-based tracer …


January 27, 2026 Ereporter, University Of Alabama At Birmingham Jan 2026

January 27, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.


A Point-Cloud Data Analysis Framework For Early Deformation Detection, Avinash Pandey Jan 2026

A Point-Cloud Data Analysis Framework For Early Deformation Detection, Avinash Pandey

Theses and Dissertations

Frost heave and thaw-related deformation threaten the performance of roads, runways, embankments, and buried utilities in cold regions, yet traditional inspections remain reactive and often miss early uplift. This study evaluates the capability of LiDAR (Light Detection and Ranging) to detect small-scale ground deformation and introduces a practical point-cloud framework designed for early-stage characterization. Controlled jack-lift experiments quantified handheld LiDAR accuracy at uplift increments of 6.35, 12.7, 19.05, and 25.4 mm, with corresponding detection accuracies of 88%, 86%, 93.33%, and 94%. Registration quality had a significant impact. The targetless scans showed slight misalignment, whereas spherical targets provided precise, repeatable outputs. …


Surviving Staten Island: Black Women’S Narratives Of Resilience, Motherwork, And Embodied Trauma, Jazmin Rivera Jan 2026

Surviving Staten Island: Black Women’S Narratives Of Resilience, Motherwork, And Embodied Trauma, Jazmin Rivera

Student Theses

This oral history dissertation centers the experiences of six Black women who had formative experiences navigating hostile school and community-based settings on Staten Island during the 1970s, 1980s, and early 1990s. Guided by a conceptual framework that draws on Black orality, Black feminist thought, and endarkened feminist epistemology, this study demonstrates how Black women were required to cross geographic and social boundaries to survive hostile conditions in Staten Island communities and schools. Findings from this study highlight Black women’s use of community cultural wealth to inform their survival strategies and resilience. At the same time, their experiences indicate the potential …


Novel Retinal Biomarker Development In Early Alzheimer’S Disease, Swetha Ravichandran Jan 2026

Novel Retinal Biomarker Development In Early Alzheimer’S Disease, Swetha Ravichandran

ETDs from 2020-2029

Alzheimer’s disease is a progressive neurodegenerative disorder that causes damage to the neurons that are present in the brain. Progress in the management and treatment of AD is limited by lack of early diagnostics, which are critical to the development of effective therapies. It is therefore critical to develop non-invasive/cost efficient biomarkers to aid in early diagnosis and interventions to prevent or delay dementia onset. While Positron Emission Tomography (PET) and cerebrospinal fluid assessment have greatest utility, they are not routinely used because they are expensive and invasive, respectively. Retinal imaging offers a promising, low-cost, and non-invasive avenue for detecting …


Meet The Stimulus Team, The Stimulus Team Jan 2026

Meet The Stimulus Team, The Stimulus Team

Stimulus: A Medical Humanities Journal

No abstract provided.


Micromobility In Nyc: 2025, Mike Owen Benediktsson Phd, Xuemeng Li Phd Jan 2026

Micromobility In Nyc: 2025, Mike Owen Benediktsson Phd, Xuemeng Li Phd

Publications and Research

This report offers a statistical snapshot of micromobility across the city over a three-week period in late 2025. Our team of trained researchers systematically observed over 1,700 micromobility vehicles at 155 separate intersections across the five boroughs of New York City. Our primary findings describe overall patterns in the demographics of micromobility and vehicle behavior at city intersections, and show how this behavior is shaped by variations in infrastructure as well as individual-level attributes.


Iterative Data Augmentation For Enhancing Deep Learning Performance With Limited Training Data, Avinash Singh Jan 2026

Iterative Data Augmentation For Enhancing Deep Learning Performance With Limited Training Data, Avinash Singh

ETDs from 2020-2029

Deep learning models have demonstrated impressive performance across different domains; however, their effectiveness heavily depends on large, well annotated datasets. In practice, data are often limited in size, leading to overfitting, poor generalization, and degraded model robustness and performance. Moreover, conventional augmentation techniques are typically static in nature, lack adaptability during training, and can produce geometrically inconsistent or unrealistic mixed images. This dissertation addresses three major challenges in data augmentation and model generalization: (1) the scarcity of labeled data and limited dataset size, (2) the absence of adaptive mechanisms for dynamically adjusting learning parameters during training, and (3) the creation …