Two Essays on Antecedents and Effects of Award-Winning CEOS

A vibrant stream of research in strategic management examines CEO reputation, status, media coverage, and awards on firm outcomes. This dissertation examines antecedents that impact the likelihood of CEOs gaining higher visible status —such as winning awards — and the impact of such status on firm behavior. The dissertation addresses these issues in two essays. In the first essay, we use signaling theory to frame the impact of industry characteristics, firm level strategic initiatives, and demographic factors on the likelihood of CEOs winning awards. Specifically, in this essay we examine how industry structure, corporate social responsibility (CSR) initiatives, business strategies, and CEO gender impact the likelihood of CEOs winning awards. We tested our hypotheses using S&P 500 firms and found that firm CSR initiatives were positively associated with the likelihood of CEOs winning awards; but industry structure, firms’ focus on advertising and R&D, and CEO gender had no impact. In the second essay, we use prospect theory (PT) and behavioral theory of the firm (BTOF) to examine whether CEOs who win awards engage in risk-taking behavior and are likely to initiate substantive strategic change, or such CEOs become complacent and committed to status-quo. We used S&P 500 data to test our hypotheses and found that award-winning CEOs were less likely to engage in strategic change; further, performance below or above firm aspirations had no impact on subsequent strategic behavior. Thus, the results help resolve the contradictory assertions in the CEO award literature. The theoretical contributions to the literatures on CEO awards, firm strategic change, and BTOF are discussed

Perception of dyspnea during exercise-induced bronchoconstriction

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Kinematic Determination of an Unmodeled Serial Manipulator by Means of an IMU

Kinematic determination for an unmodeled manipulator is usually done through a-priori knowledge of the manipulator physical characteristics or external sensor information. The mathematics of the kinematic estimation, often based on Denavit- Hartenberg convention, are complex and have high computation requirements, in addition to being unique to the manipulator for which the method is developed. Analytical methods that can compute kinematics on-the fly have the potential to be highly beneficial in dynamic environments where different configurations and variable manipulator types are often required. This thesis derives a new screw theory based method of kinematic determination, using a single inertial measurement unit (IMU), for use with any serial, revolute manipulator. The method allows the expansion of reconfigurable manipulator design and simplifies the kinematic process for existing manipulators. A simulation is presented where the theory of the method is verified and characterized with error. The method is then implemented on an existing manipulator as a verification of functionality

Fabrication of Alginate/Ozoile Gel Microspheres by Electrospray Process

Natural polymers, such as alginate and chitosan, are widely exploited for drug delivery applications due to their biocompatibility, low toxicity, and sustainable sourcing. In this study, pH-responsive gel microspheres were fabricated from an alginate/Ozoile emulsion. Ozoile (Stable Ozonides) is a biological inducer, derived from olive oil, which stimulates the endogenous defense system by promoting the repair of tissue damage and restoration of proper physiology through the regulation of gene transcription. Here, the versatile and cost-effective electrospray technique without the use of organic solvents was used to fabricate alginate/Ozoile microspheres with high throughput. The process parameters (voltage, flow rate, and needle gauge) were optimized to obtain microspheres with good sphericity factor and tailored diameter (250–700 μm). The microspheres were additionally optimized through a chitosan coating to enhance their stability and regulate the gel matrix’s degradation process. Morphological analysis, FTIR spectroscopy, and degradation tests confirmed the structural integrity and pH-responsive behavior of the gel microspheres. This research offers a promising route for targeted drug delivery systems, particularly in applications related to the modulation of oxidative stress and management of inflammation

COVID-19 Data Imputation by Multiple Function-on-Function Principal Component Regression

The aim of this paper is the imputation of missing data of COVID-19 hospitalized and intensive care curves in several Spanish regions. Taking into account that the curves of cases, deceases and recovered people are completely observed, a function-on-function regression model is proposed to estimate the missing values of the functional responses associated with hospitalized and intensive care curves. The estimation of the functional coefficient model in terms of principal components’ regression with the completely observed data provides a prediction equation for the imputation of the unobserved data for the response. An application with data from the first wave of COVID-19 in Spain is developed after properly homogenizing, registering and smoothing the data in a common interval so that the observed curves become comparable. Finally, Canonical Correlation Analysis is performed on the functional principal components to interpret the relationship between hospital occupancy rate and illness response variables.MTM2017-88708-P of the Spanish Ministry of Science, Innovation and Universities (also supported by the FEDER program)FQM-307 of the Government of Andalusia (Spain)Ph.D. grant (FPU18/01779

Noninvasive predictors of clinically significant portal hypertension in NASH cirrhosis: Validation of ANTICIPATE models and development of a lab-based model

Noninvasive predictors; Portal hypertension; CirrhosisPredictores no invasivos; Hipertensión portal; CirrosisPredictors no invasius; Hipertensió portal; CirrosiClinically significant portal hypertension (CSPH), defined as hepatic venous pressure gradient (HVPG) ≥ 10 mm Hg, identifies patients with compensated cirrhosis at a high risk of decompensation. However, HVPG is an invasive and nuanced method. The ANTICIPATE models, which include liver stiffness measurements by transient elastography (TE) and platelet count ± body mass index, are robust noninvasive surrogates of CSPH but required external validation in patients with nonalcoholic steatohepatitis (NASH) cirrhosis. Additionally, TE is not widely available worldwide. The aims of the study were: (1) to externally validate the ANTICIPATE models using baseline data from patients with compensated NASH cirrhosis screened/enrolled in a multicenter international randomized controlled trial; and (2) to develop and externally validate a model using only laboratory values. Regarding aim 1, both ANTICIPATE models showed good calibration and discrimination (area under the curve [AUC] > 0.8) in our cohort (n = 222). Regarding aim 2, a new lab-based model using the Fibrosis-4 index (FIB-4 [age, aspartate aminotransferase, alanine aminotransferase, platelet count]) plus serum albumin was developed. The discrimination in the training cohort (n = 309) was good (AUC of 0.78 [95% confidence interval [CI]:0.72–0.83]). It was then externally validated in a separate cohort of 245 patients with compensated NASH cirrhosis (AUC of 0.8 [95% CI: 0.75–0.86]). Given the difference in the prevalence of CSPH between training (74%) and validation (39%) cohorts, the model required an update of the baseline risk to achieve a good calibration. The updated model was named FIB4+. In conclusion, both ANTICIPATE models performed well in predicting the presence of CSPH in NASH cirrhosis. A model using FIB-4 plus albumin (FIB4+) can be used to predict CSPH where TE is not available.Supported by the Yale Liver Center, National Institutes of Health (P30 DK34989)