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‘I found her in that magnificent pose’: Ekphrastic Detail and Gendered Perspectives in Middlemarch
Full text linkIn his review of George Eliot's Middlemarch (1871), Henry James praised the novel for its particularly intricate and rich attention to the knottiest of social and emotional detail. He accused Eliot's attention to these minutiae, however, as having failed to produce a convincing whole: "Middlemarch is a treasure-house of details, but it is an 'indifferent whole'." However..
Address at the Birthday Luncheon, Weston Hall Hotel, 20 November 2024
Full text linkAs a teenager Mary Ann Evans was a fervently pious, Bible-believing evangelical but by the end of her life she was one of England's best known non-Christians, buried in the atheist section of Highgate Cemetery, and her biographers have called her both a radical and a romantic humanist..
The Human Intelligence of George Eliot’s Omnisicent Narration
Full text linkThe importance - if any - of human authorship for literary production has been questioned since the earliest attempts to create narratives using computers or other technologies. The heightened concerns of our current moment, when rapid composition of original, entertaining novels using software-based text generation has become feasible, provide a new lens..
Pyrolysis oil upgrading via hydrotreatment to produce alternative fuel
Full text linkThis document contains additional information used in the manuscript titled "Pyrolysis oil upgrading via hydrotreatment to produce alternative fuel using ZrO2-supported catalysts and isopropanol as a solvent"Ye
Economic Impacts of Artificial Intelligence Integration in Industry 4.0 Manufacturing Systems
No full textThis study examines the transformative impact of artificial intelligence (AI) on manufacturing, highlighting its role in enhancing productivity, efficiency, and sustainability. It traces the evolution from traditional manufacturing methods through Industry 4.0 to the emerging Industry 5.0 paradigm, emphasizing AI's integration with cyber-physical systems, digital twins, and advanced robotics. Key applications such as predictive maintenance, process optimization, supply chain management, and energy efficiency are analyzed for their economic and environmental benefits. The research addresses challenges including interoperability, scalability, data quality, and workforce adaptation, with particular attention to the implications for small and medium enterprises and the broader labor market. Ethical considerations, regulatory compliance, and public acceptance are explored to ensure responsible AI deployment. The paper also discusses future trends, including explainable AI, edge computing, autonomous decision-making, and the convergence of AI with additive manufacturing and blockchain technologies. Strategic roadmaps for phased AI adoption are proposed to guide manufacturing organizations in achieving competitive advantage while aligning with sustainability and human-centric principles. Overall, the work provides a comprehensive framework for understanding AI-driven industrial transformation and its multifaceted impacts on economic performance, workforce dynamics, and environmental stewardship.
Keywords: Smart Manufacturing, Industry 4.0, Artificial Intelligence in Manufacturing, Digital Twin, Predictive Maintenance, Sustainable Manufacturing, Human-AI Collaboration, Circular Economy, Explainable AI (XAI), Cyber-Physical Systems (CPS)n
Economic Evaluation of Artificial Intelligence Integration in Global Healthcare: Balancing Costs, Outcomes, and Investment Value
No full textArtificial intelligence (AI) is transforming global healthcare by enhancing diagnostic accuracy, operational efficiency, and personalized treatment, while presenting complex economic, ethical, and regulatory challenges. This comprehensive analysis explores the integration of AI technologies, including machine learning, natural language processing, robotics, and decision support systems, across diverse clinical and administrative applications. It examines key economic concepts such as cost-effectiveness, value-based care, and return on investment, highlighting both direct costs related to implementation, training, and maintenance, and indirect benefits including error reduction, shortened hospital stays, and improved workforce productivity. The discussion addresses disparities in AI adoption between high-income and low- and middle-income countries, emphasizing infrastructural barriers, potential for leapfrogging technologies, and the necessity of international collaboration and standardization. Ethical, legal, and social implications are considered alongside technological limitations, data quality, interoperability, and bias mitigation. Financing models such as public-private partnerships, venture capital, and evolving insurance reimbursement frameworks are evaluated for their roles in supporting sustainable AI deployment. Future directions focus on scaling AI solutions globally, integrating AI with emerging technologies like IoT and blockchain, and transforming healthcare workforce roles. The synthesis underscores that realizing AI’s promise in healthcare economics requires balanced investment, robust governance, interdisciplinary collaboration, and continuous evaluation to ensure equitable, efficient, and high-quality care delivery worldwide.
keywords: Artificial Intelligence in Healthcare, Health Economics, Cost-Effectiveness Analysis, Large Language Models, Value-Based Healthcare, Clinical Decision Support Systems, Health Technology Assessment, AI Implementation Strategies, Global Health Systems, Ethics of AI in Medicin
Décollement controls on the Dauki Fault System in the Shillong Plateau and the Bengal Basin
No full textThe Dauki Fault System is a major thrust at the northern rim of the Bengal Basin. The mechanism of faulting and how strain is accumulated and distributed along the system still need to be understood. We present an analysis of 1 m resolution digital elevation models created from tri-stereo-pair high resolution Pleiades images, geomorphological-geological fieldwork data and subsurface reflection seismic data to better document the geometry and activity of the various faults composing the fault system. We document and mapped 6 main fan/terrace levels that are attributed to Pleistocene to Holocene ages in the Sylhet area. These terraces were uplifted from 1.5 m to 72 m above the main riverbed, with an estimated uplift rate of 1.5 mm/yr. The Dauki Fault System stretches E-W for 320 km and consists of three subparallel thrusts. The northern one is the North Dauki Fault responsible for the ~2 km topographic elevation of the Shillong Plateau and monoclonal folding of the Garo-Jaintia-Khasi Hills at the northern border of the Surma Basin. The middle one is the Jamuna-Lubha Fault, which is responsible for the uplift of the Pleistocene-Holocene terraces-hillocks all along the Jamuna River to the Lubha River. The southern one is the Sunamganj Fault that limits the southern extension of the alluvial fans in the Surma Basin. Given the extension over a length of 320 km of this thrust system, we estimate it can produce magnitude Mw 7.5-8 earthquakes that could impact northeastern India and Bangladesh.https://doi.org/10.35099/3st0-yz3
Review of Juliette Atkinson and Elisha Cohn’s The Oxford Handbook of George Eliot
No full textThis is a monumental achievement and an exceptional addition to George Eliot studies. Statistics alone are impressive. For a start the book weighs in just under two kilograms; nearly 900 pages all up. It contains fifty-two essays by fifty-five authors from six countries, all of them bar one in academic positions
A Comparison of Dating Models for Reservoir Sediment Records using Mass Accumulation, Radioisotopes, and Bayesian Statistics
No full textPaleolimnological investigations of reservoirs (i.e. human-made lakes) are becoming more common, establishing a need to explore dating approaches for sediment records from reservoirs. Traditional dating methodologies such as Constant Rate of Supply (CRS), 137Cs, and Mass Accumulation Rate (MAR) have been utilized for sediment records from reservoirs for decades. However, with the advent of newer Bayesian approaches, such as the Bacon and Plum models, there is a need to understand the tradeoffs between the outputs of each method. This study investigated the differences, not the accuracy, among age model outputs (dates and sedimentation rates) generated with CRS, MAR, Plum, and Bacon for three reservoirs in the Southeastern United States. Though they are all viable age models, their utility varies with research question, application, and financial cost. MAR and Bacon produced similar linear age models. The sedimentation rate for MAR was a static value throughout the record, while Bacon’s had more variable and significantly larger sedimentation rate than MAR for each reservoir studied. Both MAR and Bacon are more practical when there is a limited budget or less time for analysis. CRS and Plum produced similar non-linear age models, with CRS and Plum having the smallest and second smallest region of error, respectively. Similarly, CRS and Plum sedimentation rates exhibited aligned variations of sedimentation rates for two of the three sediment records analyzed. CRS and Plum dates and sedimentation rates were more similar when sediment records had a larger excess 210Pb total inventory. We found the smallest differences among model outputs, <5% difference based on a RMSE normalized ‘record age ratio’, when models utilized the same input data (i.e. top-bottom dates for MAR with Bacon and radioisotope for CRS with Plum). Generally, CRS and Plum would be preferred when there is ample time and funds for the lengthy radioisotope analysis and its higher costs. If there are additional known dates to incorporate into a model, we encourage the use of Plum. We have provided a decision-making framework for selecting dating models for reservoir sediment records in an effort to help standardized future dating model approaches and applications.Acceptedye
Empowering Alabama Educators through International Experience: Strengthening Classrooms, Supporting Communities
Full text linkSince 2011, Auburn University’s College of Education has led the Global Studies in Education: South Korea program, providing over 85 Alabama educators with direct exposure to Korean culture and educational practices. This 10-day experience helps educators build cultural understanding, which in turn strengthens their teaching practices and their ability to connect with students from different cultural and linguistic backgrounds. Evaluation results show that participants return with new insights and skills that improve how they engage with students and families from international backgrounds. Expanding these types of global learning opportunities is a valuable investment in preparing educators to meet the needs of today’s classrooms and prepare students for a globally connected future