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Nearly every biography of Mary Tudor mentions her acquisition of the Kingdom of Naples and the Spanish kingdoms through her marriage to Philip Habsburg, later Philip II of Spain, but they say little about her role as queen consort, primarily because she failed to control the narrative of her reign. She made little effort to patronize writers, disperse her symbols, send images of herself, use masculine terminology like her grandmother Isabel of Castile, or involve herself in the governance of her Mediterranean kingdoms. Her real and symbolic absence in the south, and the presence of Doña Juana, Philip’s sister and the capable regent of the Spanish kingdoms in his absence, led to her marginalization. This has had long-lasting consequences for the historiography of her reign, as historians have generally confined themselves to studying her in her English context using the gendered language of early Spanish writers while omitting her entirely from Naples.

Experienced senior living leaders (SLLs) report the impact of spirituality and religious practice on SLL role adaptation and continuation. The sample included 18 SLLs in 18 skilled care settings representing public, non-profit, and for-profit types of incorporation, with oversampling of for-profit facilities. The average years of SLL experience was 24 years. In-depth interviews were examined through a thematic analysis approach using Excel software. Seventy-eight percent described how a higher power, religious beliefs, and faith practices were associated with their role. Their narratives revealed three major themes: Frame (calling and pre-dispositional spiritual beliefs and religious practices), Role Performance (how spirituality informed SLL administrative practice), and Benefits (perceived rewards of adherence to spiritual beliefs and practices). Further analysis of the three themes produced codes that added greater specification for each theme. Implications provided for normalizing the spirituality and work-life intersect and infusing ethical integration of spirituality and work-life in SLL educational programs.

Purpose This study examined the association between hearing status (i.e., adolescents with and without hearing loss) and physical activity and sports participation. Secondarily, we explored the association between physical activity and sports participation and psychosocial outcomes among adolescents with hearing loss. Methods Analyses included 29,034 adolescents (52.1% male, 13.8 ± 2.3 (M ± SD) years) from the combined 2018–2019 National Survey of Children's Health. Adolescents were grouped by hearing status. Adjusted logistic regression models assessed physical activity level (i.e., 0, 1–3, 4–6, and 7 days/week) and sports participation (i.e., participation in sports within the past 12 months) by hearing status. Secondary analyses examined associations between physical activity and sports participation with psychosocial outcomes among adolescents with hearing loss adjusting for relevant confounders. Results Relative to their hearing peers, adolescents with hearing loss (n = 359) were 40% [adjusted odds ratio (AOR), 0.60; 95% confidence interval (CI), 0.44, 0.81], 43% [AOR, 0.57; 95% CI, 0.41, 0.80], and 33% [AOR, 0.67; 95% CI, 0.47, 0.95] less likely to engage in 1–3 days/week of physical activity, 4–6 days/week of physical activity, and meet physical activity guidelines, respectively. Further, adolescents with hearing loss were 31% [AOR, 0.69; 95% CI, 0.55, 0.85] less likely to participate in sports. Sports participation, but not physical activity, was associated with a significant reduction in the likelihood of experiencing adverse psychosocial outcomes among adolescents with hearing loss (p's < .05). Discussion Sports participation, but not physical activity, was associated with attenuated likelihood of experiencing adverse psychosocial outcomes in adolescents with hearing loss, suggesting unique characteristics of sports participation confer protection of psychosocial health. Increasing access to and reducing barriers to engagement in sports should be prioritized to improve psychosocial health in adolescents with hearing loss.

Background:  The emphasis on disciplinary and preventive approaches to combating academic misconduct does little to foster student professional identity and core nursing value formation. Problem:  There is a need for pedagogy designed to navigate moral decision-making within ambiguous areas of practice as nursing students integrate personal and professional values while becoming a nurse. Approach:  Rest's theory of moral development offers a framework for constructing purposeful affective learning activities that operationalize moral sensitivity, judgment, motivation, and character, whereas Krathwohl's theory provides a means to identify affective learning objectives. Offering prelicensure nursing students an opportunity to discuss, reflect on, and consider actions and consequences associated with academic and practice-based situations forms the basis for this affective learning module that fosters connections between academic and professional behaviors of integrity. Conclusion:  Rest's theoretical model provides a viable structured approach to moral development. Curriculum designed to engage moral decision-making offers an innovative approach to cultivating student integrity.

A Thesis Submitted to the School of Graduate and Professional Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in Biology Southern Connecticut State University New Haven, Connecticut December 2021 Abstract: In order to properly assess current ecological conditions, we need long-term ecological data. Historical ecology focuses on that long term, including the need to synthesize data from diverse sources. In the Long Island Sound, the Connecticut Department of Energy and Environmental Protection has been collecting data for both scientific and recreational purposes for decades, but the format of the recreational data (narrative) is not suitable for scientific analysis. This project is to collate and annotate game fish occurrence data from the Fishing Report newsletters put out by DEEP every week during the fishing season and the DEEP Trophy Fish annual reports, over a 12-year period. Species, location, and measurement data (as available) have been compiled into a data set, with geolocation coordinates added for the identifiable locations. This thesis consists of the machine-readable dataset, the protocol for collating this data, and an assessment of the suitability of the data for different kinds of analysis. The dataset will be published openly for reuse, reanalysis, and collaborative additions.

Dataset of gamefish occurrences as compiled from the Connecticut Fishing Report (2006-2018) and Trophy Fish Report (2009-2018), both published by the Connecticut Department of Energy and Environmental Protection. Compiled as thesis project by Rebecca Hedreen for a Masters of Science in Biology from Southern Connecticut State University, with advisor Dr. Sean Grace.

Transformation has become a prevailing and desirable concept in blue economy literature. In parallel, researchers have been considering ways to effectively engage stakeholders to support just transformational agendas. Globally, coastal communities are already being affected by the inevitable impacts of climate change and changes to the blue economy. These pressures present complex contexts for coastal zone stakeholder engagement. In this paper, I argue that taking a systems integration approach to interacting with stakeholders is needed to support just transformational change. Assessing stakeholder systems and their relationship to coastal resources is imperative for understanding dynamics that may promote or hinder just transformation. Taking an adaptive management approach to working alongside stakeholders through transitional processes, thus building capacity, is needed to generate momentum toward just transformational change. Lastly, I explain how applications of the subsidiarity principle in integrating stakeholder systems can support a just transformational process and can inform more durable transformational outcomes.

We report the first multi-differential measurements of strange hadrons of K−, ϕ and Ξ− yields as well as the ratios of ϕ/K− and ϕ/Ξ− in Au+Au collisions at sNN=3 GeV with the STAR experiment fixed target configuration at RHIC. The ϕ mesons and Ξ− hyperons are measured through hadronic decay channels, ϕ→K+K− and Ξ−→Λπ−. Collision centrality and rapidity dependence of the transverse momentum spectra for these strange hadrons are presented. The 4π yields and ratios are compared to thermal model and hadronic transport model predictions. At this collision energy, thermal model with grand canonical ensemble (GCE) under-predicts the ϕ/K− and ϕ/Ξ− ratios while the result of canonical ensemble (CE) calculations reproduce ϕ/K−, with the correlation length rc∼2.7 fm, and ϕ/Ξ−, rc∼4.2 fm, for the 0-10% central collisions. Hadronic transport models including high mass resonance decays could also describe the ratios. While thermal calculations with GCE work well for strangeness production in high energy collisions, the change to CE at 3 GeV implies a rather different medium property at high baryon density.

The purpose of this article is to explore the intersectionality of autism and sociocultural factors as well as discuss the complexities associated with appropriate assessment, diagnosis, and intervention. Based on a review of the literature, the authors present a brief history of the emergence of the term autism and highlight factors that have contributed to current concerns about failures to appropriately recognize autism within diverse populations. Referencing extant research as well as professional practice standards, this article examines aspects of autism and intersectionality, and explores some of the associated challenges related to assessment, diagnosis, and intervention. Further, the authors reflect on the critical importance of carefully considering all aspects of a child's identity when engaging in autism assessment and intervention within the school setting. School-based practitioners are provided with guidance for addressing the needs of diverse populations of students with autism.

This study demonstrates the application of affinity propagation as a data-driven approach to identifying and mapping typologies of place along the urban-rural continuum. The authors characterize Zip Code Tabulation Areas using demographic, economic, land cover, and accessibility to transportation infrastructure, which results in 22 clusters, 15 of which have a major rural component. The spatial pattern of these clusters varies, reflecting the heterogeneity in U.S. rurality. Rural is not a single concept that can be simply defined by population density. By comparing three economic indicators before and after the global financial crisis of 2007 to 2012, the authors find that the degree of economic recovery is captured by rural typologies. They compare both the methodological results and analysis of socioeconomic resilience to two of the most used threshold-based regional typologies, one developed by the U.S. Department of Agriculture Economic Research Service and one used by the American Communities Project.

We report cumulants of the proton multiplicity distribution from dedicated fixed-target Au+Au collisions at √sNN=3.0 GeV, measured by the STAR experiment in the kinematic acceptance of rapidity (y) and transverse momentum (pT) within −0.5<y<0 and 0.4<pT<2.0 GeV/c. In the most central 0%–5% collisions, a proton cumulant ratio is measured to be C4/C2=−0.85±0.09 (stat)±0.82 (syst), which is 2σ below the Poisson baseline with respect to both the statistical and systematic uncertainties. The hadronic transport UrQMD model reproduces our C4/C2 in the measured acceptance. Compared to higher energy results and the transport model calculations, the suppression in C4/C2 is consistent with fluctuations driven by baryon number conservation and indicates an energy regime dominated by hadronic interactions. These data imply that the QCD critical region, if created in heavy-ion collisions, could only exist at energies higher than 3 GeV.

Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. In Qatar, there is a lack of studies focusing on CVD diagnosis based on non-invasive methods such as retinal image or dual-energy X-ray absorptiometry (DXA). In this study, we aimed at diagnosing CVD using a novel approach integrating information from retinal images and DXA data. We considered an adult Qatari cohort of 500 participants from Qatar Biobank (QBB) with an equal number of participants from the CVD and the control groups. We designed a case-control study with a novel multi-modal (combining data from multiple modalities—DXA and retinal images)—to propose a deep learning (DL)-based technique to distinguish the CVD group from the control group. Uni-modal models based on retinal images and DXA data achieved 75.6% and 77.4% accuracy, respectively. The multi-modal model showed an improved accuracy of 78.3% in classifying CVD group and the control group. We used gradient class activation map (GradCAM) to highlight the areas of interest in the retinal images that influenced the decisions of the proposed DL model most. It was observed that the model focused mostly on the centre of the retinal images where signs of CVD such as hemorrhages were present. This indicates that our model can identify and make use of certain prognosis markers for hypertension and ischemic heart disease. From DXA data, we found higher values for bone mineral density, fat content, muscle mass and bone area across majority of the body parts in CVD group compared to the control group indicating better bone health in the Qatari CVD cohort. This seminal method based on DXA scans and retinal images demonstrate major potentials for the early detection of CVD in a fast and relatively non-invasive manner.

This work summarizes the roles of various plant promoting (PGP) microorganism on several types of plant hosts. In particular, rhizosphere dwelling bacteria and fungi that increase plant growth, protect plants from pathogens, and increase tolerance to abiotic stresses are presented. These traits are due, in part, to the production of enzymes, hormones, and a plethora a various metabolites produced by rhizosphere microorganisms that directly or indirectly benefit the plants. The impact of selective grazing by bacterivorous protozoa on plant growth promotion is also examined. In addition to reviewing research from other investigators, this paper introduces a recently isolated Pseudomonad bacterium that has demonstrated growth promotion and protection of heirloom tomato (Solanum lycopersicum) in the face of both abiotic and biotic stresses. Our findings indicate that the novel Pseudomonas koreensis strain could serve as an agricultural inoculant to induce plant growth and protection. The potential to create effective bioinoculum using rhizosphere microorganisms is discussed.

Current methods of concussion assessment lack the objectivity and reliability to detect neurological injury. This multi-site study uses combinations of neuroimaging (diffusion tensor imaging and resting state functional MRI) and cognitive measures to train algorithms to detect the presence of concussion in university athletes. Athletes (29 concussed, 48 controls) completed symptom reports, brief cognitive evaluation, and MRI within 72 h of injury. Hierarchical linear regression compared groups on cognitive and neuroimaging measures while controlling for sex and data collection site. Logistic regression and support vector machine models were trained using cognitive and neuroimaging measures and evaluated for overall accuracy, sensitivity, and specificity. Concussed athletes reported greater symptoms than controls (∆R2 = 0.32, p < .001), and performed worse on tests of concentration (∆R2 = 0.07, p < .05) and delayed memory (∆R2 = 0.17, p < .001). Concussed athletes showed lower functional connectivity within the frontoparietal and primary visual networks (p < .05), but did not differ on mean diffusivity and fractional anisotropy. Of the cognitive measures, classifiers trained using delayed memory yielded the best performance with overall accuracy of 71%, though sensitivity was poor at 46%. Of the neuroimaging measures, classifiers trained using mean diffusivity yielded similar accuracy. Combining cognitive measures with mean diffusivity increased overall accuracy to 74% and sensitivity to 64%, comparable to the sensitivity of symptom report. Trained algorithms incorporating both MRI and cognitive performance variables can reliably detect common neurobiological sequelae of acute concussion. The integration of multi-modal data can serve as an objective, reliable tool in the assessment and diagnosis of concussion.

Multiphoton microscopy images of chromophobe renal cell carcinoma and renal oncocytoma were classified using a convolutional neural network inspired by techniques in recent architectures and yielded over 70% accuracy.

Climate change has elucidated already existing gender inequalities associated with unequal access to resources, decision-making processes, and higher exposure to environmental shocks and stressors. Growing acknowledgment of the gender-differentiated implications of climate change in recent years has placed gender equality as a focal point in international discourses on climate change adaptation. The policy perspective of gender equality is universalized, but how it transcribes in local climate change adaptation projects remains elusive. Using the relocation of Vunidogoloa, Fiji, this article explores the tension and compatibility between the way gender equality is discussed and how it is implemented in climate change adaptation projects.

Posttraumatic growth (PTG) refers to a positive psychological change that occurs following a seismic and highly challenging life circumstance. An individual who experiences PTG reports posttrauma development that surpasses their baseline level of pretrauma function in various domains. The present systematic review of the current literature aimed to explore factors related to the development of PTG in children and adolescents exposed to trauma. Included studies investigated a range of factors that impact PTG development in youth from five countries: the United States, Israel, China, Japan, and Norway. Studies addressed multiple types of traumatic experiences, including medical trauma, war- and terror-related trauma, and environmental trauma. Findings suggested that factors that impact the development of PTG include the presence of posttraumatic stress symptoms, specifically intrusiveness, and cognitive factors, such as the use of positive reappraisal and deliberate rumination. Many factors demonstrated inconsistencies across studies, such as the impact of age, gender, social support, and parent factors. The findings from this systematic research study encourage the notion that certain clinical intervention strategies, such as deliberate rumination, positive reappraisal coping strategies, and trauma-informed group therapy, may facilitate growth in trauma survivors. Future research should test if these intervention strategies directly impact growth and whether there is an evidence-based form of intervention that can assist clinicians in taking a growth- and strengths-based perspective after trauma.

Around the world adaptation projects are being implemented, with the hope of essentially climate proofing communities. While there is an abundance of failed adaptation schemes in developing and developed countries alike, there has been little scholarship on this problem. Through interviews with twenty-two climate change adaptation practitioners, we identify four structural challenges that contribute to maladaptation: the focus on technological fixes versus holistic approaches; the difficultly of distinguishing between adaptation and development; the problem of quantifying non-quantifiable variables; and the existence of competing problems given that failure to mainstream climate change adaptation. Addressing these maladaptation dynamics is necessary to enhance successful adaptation processes.