Old Dogs, New Tricks: Authoritarian Regime Persistence Through Learning

How does diffusion lead to authoritarian regime persistence? Political decisions, regardless of what the actors involved might believe or espouse, do not happen in isolation. Policy changes, institutional alterations, regime transitions-- these political phenomena are all in some part a product of diffusion processes as much as they are derived from internal determinants. As such, political regimes do not exist in a vacuum, nor do they ignore the outside world. When making decisions about policy and practice, we should expect competent political actors to take a look at the wider external world. This dissertation project presents a theory of regime learning and authoritarian persistence to augment the extant literature on diffusion and democratization. While this literature provides important links between the outcomes across borders, it also falls short in explaining if and how diffusion can explain the absence of change-- authoritarian persistence. The new theoretical approach is rooted in concepts drawn from the democratization literature as well as the psychology of learning, and distinguishes simplistic learning (emulation)-- based on the availability heuristic-- and a more sophisticated learning process rooted in the representativeness heuristic. To test the implications of this theory, I develop a pair of new measures of change: liberalization (making concessions) and deliberalization (increasing repression). Using a combination of human and machine coding of yearly Freedom House country reports, I determine whether authoritarian regimes made liberalizing or deliberalizing moves which fall short of the significant regime changes that aggregate measures such as POLITY, Freedom House, and similar capture. An empirical examination employing these new measures reveals that diffusion does exist among authoritarian regimes at the regional level, among contiguous neighborhoods, and within more carefully confined groups of peers. These results add to our understanding of persistent authoritarianism and establish that emulation can be identified. Although authoritarian regimes seem to be be copying the liberalization and deliberalization strategies of their peers, there is not clear support for more sophisticated learning processes at this time

Recurrence rates of nonmelanoma skin cancer after malignant destruction : a single center retrospective analysis of 984 tumors

Includes bibliographical references."Nonmelanoma skin cancer (NMSC) is the most common human malignancy with estimated treatment costs of $8.1 billion annually in the United States 1 . Malignant destruction (MD) is one very commonly used technique for treatment of these malignancies. In this study, we sought to assess differences in recurrence rates for NMSC treated with different malignant destruction techniques: electrodessication with curettage (EDC), cryotherapy with curettage (CC), curettage alone, and cryotherapy alone. ... This analysis demonstrates noninferiority of CC when compared to other methods of malignant destruction, but raises concern about the efficacy of malignant destruction as a treatment for facial NMSC. Recurrence rates after destruction in this study fall within the range previously reported 2,3 , thus indicating these data may be generalizable beyond our institution. Further, the analysis includes at least 20 different dermatologists; therefore, variations in technique from provider to provider are accounted for."--Introduction and Conclusion

Local diurnal wind‐driven variability and upwelling in a small coastal embayment

The oceanic response to high‐frequency local diurnal wind forcing is examined in a small coastal embayment located along an understudied stretch of the central California coast. We show that local diurnal wind forcing is the dominant control on nearshore temperature variability and circulation patterns. A complex empirical orthogonal function (CEOF) analysis of velocities in San Luis Obispo Bay reveals that the first‐mode CEOF amplitude time series, which accounts for 47.9% of the variance, is significantly coherent with the local wind signal at the diurnal frequency and aligns with periods of weak and strong wind forcing. The diurnal evolution of the hydrographic structure and circulation in the bay is examined using both individual events and composite‐day averages. During the late afternoon, the local wind strengthens and results in a sheared flow with near‐surface warm waters directed out of the bay and a compensating flow of colder waters into the bay over the bottom portion of the water column. This cold water intrusion into the bay causes isotherms to shoal toward the surface and delivers subthermocline waters to shallow reaches of the bay, representing a mechanism for small‐scale upwelling. When the local winds relax, the warm water mass advects back into the bay in the form of a buoyant plume front. Local diurnal winds are expected to play an important role in nearshore dynamics and local upwelling in other small coastal embayments with important implications for various biological and ecological processes

Economic impact and risk analysis of integrating sustainable aviation fuels into refineries

The growth of the aviation industry coupled with its dependence on energy dense, liquid fuels has brought sustainable aviation fuel (SAF) research to the forefront of the biofuels community. Petroleum refineries will need to decide how to satisfy the projected increase in jet fuel demand with either capital investments to debottleneck current operations or by integrating bio-blendstocks. This work seeks to compare jet production strategies on a risk-adjusted, economic performance basis using Monte-Carlo simulation and refinery optimization models. Additionally, incentive structures aiming to de-risk initial SAF production from the refiner’s perspective are explored. Results show that market sensitive incentives can reduce the financial risks associated with producing SAFs and deliver marginal abatement costs ranging between 136-182 $/Ton-CO2e

Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity.

Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we use single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produces one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides insights into the cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer

The effects of rural and urban areas on time allocated in self-employment : differences between men and women

This study investigates the association of the rural−urban divide and the time individuals allocate in self-employment. The empirical analysis uses fixed effects modelling on data from the UK Household Longitudinal Survey over the period 2009−2019. The study identifies significant differences in the time men and women allocate in self-employment between rural and urban areas according to their career age group. While men and women tend to allocate more time in self-employment in their senior career age when residents of urban areas, the time they allocate in self-employment between rural and urban areas in early- and mid-career age differs markedly. More importantly, we find that significant differences exist not only between residents of rural and urban areas, but also between residents of these areas and in-migrants to these areas. We find a significant positive effect on the time senior career age women who migrate to rural areas allocate in self-employment. In contrast, we find that early career men who move from rural to urban areas allocate significantly more time in self-employment. The results reveal the existence of complex dynamics between gender and age, which affect the allocation of time in self-employment between rural and urban areas

Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA

As a demonstrator for technologies for the next generation of ocean color sensors, the Hyperspectral Imager for the Coastal Ocean (HICO) provides enhanced spatial and spectral resolution that is required to understand optically complex aquatic environments. In this study we apply HICO, along with satellite remote sensing and in situ observations, to studies of phytoplankton ecology in a dynamic coastal upwelling environment—Monterey Bay, CA, USA. From a spring 2011 study, we examine HICO-detected spatial patterns in phytoplankton optical properties along an environmental gradient defined by upwelling flow patterns and along a temporal gradient of upwelling intensification. From a fall 2011 study, we use HICO’s enhanced spatial and spectral resolution to distinguish a small-scale "red tide" bloom, and we examine bloom expansion and its supporting processes using other remote sensing and in situ data. From a spectacular HICO image of the Monterey Bay region acquired during fall of 2012, we present a suite of algorithm results for characterization of phytoplankton, and we examine the strengths, limitations, and distinctions of each algorithm in the context of the enhanced spatial and spectral resolution.Keywords: Monterey Bay, Remote sensing, Upwelling, Phytoplankto

Probing DNA Structural Heterogeneity by Identifying Conformational Subensembles of a Bicovalently Bound Cyanine Dye

DNA is a re-configurable, biological information-storage unit, and much remains to be learned about its heterogeneous structural dynamics. For example, while it is known that molecular dyes templated onto DNA exhibit increased photostability, the mechanism by which the structural dynamics of DNA affect the dye photophysics remains unknown. Here, we use femtosecond, two-dimensional electronic spectroscopy measurements of a cyanine dye, Cy5, to probe local conformations in samples of single-stranded DNA (ssDNA–Cy5), double-stranded DNA (dsDNA–Cy5), and Holliday junction DNA (HJ–DNA–Cy5). A line shape analysis of the 2D spectra reveals a strong excitation–emission correlation present in only the dsDNA–Cy5 complex, which is a signature of inhomogeneous broadening. Molecular dynamics simulations support the conclusion that this inhomogeneous broadening arises from a nearly degenerate conformer found only in the dsDNA–Cy5 complex. These insights will support future studies on DNA’s structural heterogeneity

Supernova Cosmology and the ESSENCE project

The proper usage of Type Ia supernovae (SNe Ia) as distance indicators has revolutionized cosmology, and added a new dominant component to the energy density of the Universe, dark energy. Following the discovery and confirmation era, the currently ongoing SNe Ia surveys aim to determine the properties of the dark energy. ESSENCE is a five year ground-based supernova survey aimed at finding and characterizing 200 SNe Ia in the redshift domain z=[0.2-0.8]. The goal of the project is to put constraints on the equation of state parameter, w, of the dark energy with an accuracy of <10%. This paper presents these ongoing efforts in the context of the current developments in observational cosmology.Comment: Submitted to EPS1

Caring for cancer patients with an intellectual disability: Attitudes and care perceptions of UK oncology nurses

NOTICE: this is the author’s version of a work that was accepted for publication in European Journal of Oncology Nursing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Oncology Nursing, vol. 19, issue 5 (2015) 10.1016/j.ejon.2015.03.002Background: Caring for people with cancer or an intellectual disability (ID) is stressful: little is known about the combined impact of caring for cancer patients with an ID, though this is expected to be especially challenging. Method: Eighty-three nurses, working in oncology or a related field (i.e. palliative care) were recruited. Perceptions of caring for patients with and without an ID were measured, alongside potentially confounding information about participant demographic characteristics and perceived stress. Results: Participants felt less comfortable communicating with patients with an ID about their illness (F(1,82) = 59.52, p <0.001), more reliant on a caregiver for communication (F(1,82) = 26.29, p < 0.001), and less confident that the patient's needs would be identified (F(1,82) = 42.03, p < 0.001) and met (F(1,81) = 62.90, p < 0.001). Participants also believed that caring for this patient group would induce more stress, compared with patients without an ID (F(1,81) = 31.592, p < 0.001). Previous experience working with ID patient groups appears to mitigate some perceptions about providing care to this population. Conclusions: Caring for cancer patients with an ID may intensify this, already difficult, role. Through training and knowledge exchange, oncology nurse's confidence in communication, providing appropriate care, and positivity towards this patient group may be improved