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Economic Consequences of Restrictive Immigration Policies in the United States
No full textThis study examines the multifaceted economic, social, and political impacts of restrictive immigration policies in the United States. It highlights how such measures disrupt labor market complementarities across skill levels, leading to inefficiencies in firm operations, diminished innovation capacity, and bottlenecks in key sectors reliant on immigrant labor. The analysis underscores the role of immigration in sustaining economic growth through workforce expansion, productivity enhancement, and demand stimulation, while emphasizing the adverse effects of policy-induced constraints on these dynamics. The research further explores firm-level adaptations, including shifts toward automation and offshoring, and the implications for human capital strategies and regional competitiveness. It addresses the consequences of restrictive policies on public health, education, and social integration, revealing how exclusionary frameworks exacerbate disparities and hinder long-term economic mobility. The paper also discusses the influence of political discourse, media framing, and public opinion on policy persistence and reform prospects. Comparative insights from international immigration systems and global migration trends inform recommendations for more flexible, coordinated approaches that balance economic needs with social inclusion. Methodological considerations highlight challenges in measuring policy effects and the importance of robust, multi-faceted analytical frameworks. Overall, the findings suggest that restrictive immigration policies impose significant costs on economic performance, innovation, and social cohesion, advocating for reforms that enhance labor market integration and align with evolving demographic and global competitiveness challenges.
Keywords: Immigration Economics, Restrictive Immigration Policy, Labor Market Integration, Skilled Migration, Innovation and Productivity, Firm Adaptation, Fiscal Impact, Economic Assimilation, Points-Based Systems, Policy Feedbackn
Economic and Social Implications of AI-Driven Automation and Workforce Transformation
No full textThis study examines the multifaceted impacts of artificial intelligence (AI) and automation on economic structures, labor markets, and long-term growth trajectories. It explores historical developments of automation, defining AI and its integration with automation technologies, and identifies key AI applications across manufacturing, services, and emerging sectors. The analysis highlights the dual nature of AI-driven automation, encompassing both displacement of routine tasks and creation of new, often interdisciplinary, occupations requiring advanced technical and soft skills. The paper discusses workforce adaptation strategies, including education, vocational training, and continuous professional development, emphasizing the importance of inclusive policies to mitigate inequalities exacerbated by automation. It addresses economic implications such as productivity gains, wage polarization, regional disparities, and the role of governance in shaping equitable outcomes. Ethical considerations, transparency, accountability, and regulatory frameworks are examined as essential components for responsible AI deployment. Sector-specific case studies in manufacturing, healthcare, finance, and sports illustrate diverse adoption patterns and labor market transformations. Finally, the work underscores the necessity of interdisciplinary research, data availability, and international cooperation to guide sustainable and inclusive integration of AI-enabled automation into global economies.
Keywords: Workforce Transformation, AI Governance, Job Displacement, Algorithmic Fairness, Skill-Biased Technological Change, Human-AI Collaboration, Income Inequality, Future of Work, Reskilling, Industry 4.0n
Southeastern Blueprint Environmental Pollution Project
No full textThis project aims to aid in the decision making for conservation planning of migrating birds in the Southeast United States by evaluating the utility of including new data focused on environmental pollution (air, light, noise). Evaluating pollution data on conservation frameworks is essential for improving their utility
Intersection Ahead: The Discussion of Generative AI in Popular Press Versus Scholarly Works
Full text linkThe release of ChatGPT has significantly impacted the way marketers engage with their current and potential customers. Our study explores how generative artificial intelligence (Gen AI) is discussed in the popular press as well as scholarly articles. Using a systematic approach, we conduct a review of the popular press literature for the first year Gen AI was widely adopted (2023) to identify pros, cons, and use cases of Gen AI, resulting in the four overarching themes of content creation and efficient personalization, operational optimization & data-driven efficiency, customer experience enhancements, and ethical concerns, trust, and regulations. Next, we examine scholarly works through a targeted literature review. Lastly, we synthesize our findings for each of our overarching themes. Overall, our research indicates that while Gen AI is a novel approach to reach customers, the technology needs to be used with caution and care in order to preserve authenticity and minimize fear and skepticism.Ye
Sedimentary charcoal morphometrics and morphologies of Ocean Drilling Program Site 1146
No full textThe dataset contains sedimentary charcoal morphological and morphometric data, age (ka), depth (mcd), and charcoal accumulation rate ((#·cm)/(mg·Ma)) for Ocean Drilling Project Site 1146 Hole A and C
The Use of Intramolecular Quinol Redox Couples to Facilitate the Catalytic Transformation of O2 and O2-Derived Species
Full text linkThe redox reactivity of transition metal centers can be augmented by nearby redox-active inorganic or organic moieties. In some cases, these functional groups can even allow a metal center to participate in reactions that were previously inaccessible to both the metal center and the functional group by themselves. Our research groups have been synthesizing and characterizing coordination complexes with polydentate quinol-containing ligands. Quinol is capable of being reversibly oxidized by either one or two electrons to semiquinone or para-quinone, respectively. Functionally, quinol behaves much differently than phenol, even though the pKa values of the first O-H bonds are nearly identical.
The redox activity of the quinol in the polydentate ligand can augment the abilities of bound redox-active metals to catalyze the dismutation of O2-• and H2O2. These complexes can thereby act as high-performing functional mimics of superoxide dismutase (SOD) and catalase (CAT) enzymes, which exclusively use redox-active metals to transfer electrons to and from these reactive oxygen species (ROS). The quinols augment the activity of redox-active metals by stabilizing higher-valent metal species, providing alternative redox partners for the oxidation and reduction of reactive oxygen species, and protecting the catalyst from destructive side reactions. The covalently attached quinols can even enable redox-inactive Zn(II) to catalyze the degradation of ROS. With the Zn(II)-containing SOD and CAT mimics, the organic redox couple entirely substitutes for the inorganic redox couples used by the enzymes. The ligand structure modulates the antioxidant activity, and thus far, we have found that compounds that have poor or negligible SOD activity can nonetheless behave as efficient CAT mimics.
Quinol-containing ligands have also been used to prepare electrocatalysts for dioxygen reduction, functionally mimicking the enzyme cytochrome c oxidase. The installation of quinols can boost electrocatalytic activity and even enable otherwise inactive ligand frameworks to support electrocatalysis. The quinols can also shift the product selectivity of O2 reduction from H2O2 to H2O without markedly increasing the effective overpotential. Distinct control of the coordination environment around the metal center allows the most successful of these catalysts to use economic and naturally abundant first-row transition metals such as iron and cobalt to selectively reduce O2 to H2O at low effective overpotentials. With iron, we have found that the electrocatalysts can enter the catalytic cycle as either an Fe(II) or Fe(III) species with no difference in turnover frequency. The entry point to the cycle, however, has a marked impact on the effective overpotential, with the Fe(III) species thus far being more efficient.PublishedYe
George Eliot and the Piano
Full text linkThe most popular instrument in the homes of the Victorians was the piano and any household that could afford it would certainly possess one. Piano music was widely available, and composers from Beethoven, Schubert, Schumann, Mendelssohn to Liszt, together with scores of lesser known or even unknown names, all wrote extensively for the piano
R Code used in the Ph.D. Dissertation of Mike Christopher Norris
Full text linkR Code used in the Ph.D. Dissertation of Mike Christopher Norris
These files contain the R scripts used to perform the analysis of Chapters 2 and 3 of the dissertation, entitled "Development in heterogenous landscapes: Linking embryonic environments to juvenile fitness in a lizard model." By M.C. Norris.N
Data for "Maternal nest-site choice in response to saline substates differs between an island and inland population of lizards"
No full textThe capacity for oviparous animals to recognize and choose suitable nesting habitats impacts offspring development. Species that occupy a wide range of habitats often exhibit variation in nest-site choice in response to specific environmental cues (e.g., temperature, predator threats). Salinity of nesting substrates might also generate variation, particularly across coastal to inland regions that are exposed to different levels of seawater inundation due to tides or hurricanes. To address this, we compared nest-site choice of the brown anole lizard (Anolis sagrei) between an island population that frequently experiences seawater inundation and an inland population that rarely, if ever, experiences inundation. We tested the hypothesis that females would avoid nesting in salty soils because it negatively affects egg hatching success, and that this avoidance would be greater for the island population (which frequently experiences this cue) than for the inland population (which is naïve to this cue). We provided females from each population with two different nesting substrates (soil mixed with freshwater versus saltwater). Subsequently, we incubated their eggs under these two conditions to quantify the effects on embryo survival. We found that females from the island avoided nesting in soil mixed with saltwater, whereas females from the inland population exhibited no preference. Water loss and mortality rates of eggs also increased under incubation in soil with saltwater. These patterns imply that females from island populations may have an adaptive behavioral response to soil salinity, whereas inland females have not developed a response to this novel cue. These results have important implications for understanding how populations might respond to changes in salinity under climate change in coastal or island regions (e.g., sea level rise, increased hurricanes)
Data for: Effect of local chain ordering on macroscopic charge mobility in chemically doped P3HT
No full textCharge carrier mobility is a key factor underlying the performance of conjugated polymers as conductive materials for flexible and lightweight electronics. Chemical doping is typically used to improve polymer conductivity by increasing the carrier density. However, doping consequently induces both morphological and electrostatic changes within the polymer that impact charge mobility, the extent to which remains unclear. Using regioregular poly(3-hexylthiophene-2,5-diyl) (P3HT) polymer films with tuned morphology and controlled ion-carrier distance, we investigated the influence of nanoscale chain ordering on the device-scale mobility of its chemically-induced carriers. Grazing-incidence x-ray diffraction measurements revealed that chemically doping the films resulted in a similar lamellar d-spacing of ~18.5 Å, despite differences in chain ordering within their nanocrystalline domains. Transient absorption (TA) spectroscopy was used to examine the relaxation of hole polarons excited with 0.62 eV (2000 nm) light to study their trapping behavior, and the results were compared with field-effect mobility measurements. Despite a 4-fold difference in hole mobility, the average relaxation times of the mobile and trapped polarons were identically ~0.1 ps and 17 ps, respectively, between the two films. The TA results only showed qualitative differences in the ratio of mobile to trapped polarons, indicating that ordered nanocrystalline domains facilitate the formation of free polarons, which enhance the hole mobility. The results from this study suggest that TA spectroscopy can be used as an electrode-free method of assessing the local mobility of doping-induced charge carriers, and that nanoscale chain ordering – and not just mesoscale structure or ion-carrier distance – is essential to control for improving the device-scale mobility of polarons