The purpose of this thesis was to discover whether or not the Japanese parents who are temporarily staying in the U.S. with their children are anticipating the possibility of psychological and communicative problems their children may face as returnees, and to what extent the Japanese parents discuss these potential problems with their husbands and/or with their children. The question also asked whether or not the Japanese parents are doing anything to prepare themselves and/or their children to cope with the potential problems which their children may face as returnees.

The purpose of this study is to apply a developmental model of intercultural sensitivity to a group of people in an intercultural setting and discover whether or not the model is descriptive. The data collected are also used to determine whether or not the coping mechanisms employed by the sojourners are developmental in terms of this model of intercultural sensitivity.

While much research and attention have focused on sojourn adjustment to a new culture, very little research has addressed readjustment to the home culture. This research studies the problems of repatriation work adjustment experienced by U.S. corporate employees. This study also.suggests that cultural readjustment is situational and a multifaceted process which is influenced by many different variables. Interviews with 25 corporate repatriated employees were conducted using a 22-question survey instrument. Repatriates were asked to rate their readjustment experiences on a seven-item Likert scale. Respondents also had the opportunity to expand on their answers with open-ended questions. Fourteen variables were examined for their relationship to cultural readjustment and to each other. Of these 14 variables, the ability for repatriates to use job skills which were learned overseas and number of overseas assignments were found to positively relate to readjustment. As predicted, the amount of autonomy expatriates experienced overseas was found to relate negatively to repatriation work readjustment. Based on these findings, recommendations to facilitate readjustment to the corporate home environment are proposed.

The relationship of language and culture is explored in this thesis for the purpose of better understanding why all sojourners, regardless of preparation, experience some degree of culture shock. The author begins with a review of literature on culture shock establishing that the native language of sojourners is not considered to be of any consequence to the sojourning experience. The fields of intercultural communication, social psychology and psychology are then explored to establish the link between language and culture and to introduce the notion of linguistic identity. Evidence found in each of these fields leads the author to conclude that linguistic identity must become a focal point of language instruction and that both language and linguistic identity must be addressed more effectively in pre-departure orientations. Also included is a research proposal which is designed to test pre-departure orientation strategies which introduce students to linguistic identity and to track their transition experiences over the course of a year-long study abroad sojourn.

Sepsis is associated with high mortality and morbidity. Immediate recognition and treatment is crucial to prevent complications that can be highly detrimental and cause a significant impact on the U.S. healthcare economy. Numerous studies have been conducted to improve patient outcomes and lower healthcare costs from sepsis and septic shock. Many of these studies were focused on exploring healthcare providers' knowledge and compliance to the Surviving Sepsis Campaign (SSC) guidelines. This study aimed to explore and identify barriers to the implementation of the sepsis bundles and strategies to enhance healthcare providers' adherence to these bundles. A systematic review of articles was conducted using the ACE Star Model of Knowledge Transformation. Studies such as randomized controlled trials (RTC's), systematic reviews, retrospective studies, and prospective observational studies conducted in Intensive Care Units (ICUs) within the past 10 years were utilized, guided by the American Association of Critical Care Nurses' (AACN's) grading system. Sources of evidence were obtained from PubMed, CINAHL, and GoogleScholar. The results of this study are aimed at helping support the evidence-based clinical practice among providers caring for patients with sepsis and septic shock in an ICU setting using evidence-based guidelines. The results of this study provide an opportunity for healthcare systems to relieve financial burdens from sepsis and thus contribute to pos

The present work presents a framework for multiscale modeling of multimaterial flows using surrogate modeling techniques in the particular context of shocks interacting with clusters of particles. The work builds a framework for bridging scales in shock-particle interaction by using ensembles of resolved mesoscale computations of shocked particle laden flows. The information from mesoscale models is “lifted” by constructing metamodels of the closure terms - the thesis analyzes several issues pertaining to surrogate-based multiscale modeling frameworks. First, to create surrogate models, the effectiveness of several metamodeling techniques, viz. the Polynomial Stochastic Collocation method, Adaptive Stochastic Collocation method, a Radial Basis Function Neural Network, a Kriging Method and a Dynamic Kriging Method is evaluated. The rate of convergence of the error when used to reconstruct hypersurfaces of known functions is studied. For sufficiently large number of training points, Stochastic Collocation methods generally converge faster than the other metamodeling techniques, while the DKG method converges faster when the number of input points is less than 100 in a two-dimensional parameter space. Because the input points correspond to computationally expensive micro/meso-scale computations, the DKG is favored for bridging scales in a multi-scale solver. After this, closure laws for drag are constructed in the form of surrogate models derived from real-time resolved mesoscale computations of shock-particle interactions. The mesoscale computations are performed to calculate the drag force on a cluster of particles for different values of Mach Number and particle volume fraction. Two Kriging-based methods, viz. the Dynamic Kriging Method (DKG) and the Modified Bayesian Kriging Method (MBKG) are evaluated for their ability to construct surrogate models with sparse data; i.e. using the least number of mesoscale simulations. It is shown that unlike the DKG method, the MBKG method converges monotonically even with noisy input data and is therefore more suitable for surrogate model construction from numerical experiments. In macroscale models for shock-particle interactions, Subgrid Particle Reynolds’ Stress Equivalent (SPARSE) terms arise because of velocity fluctuations due to fluid-particle interaction in the subgrid/meso scales. Mesoscale computations are performed to calculate the SPARSE terms and the kinetic energy of the fluctuations for different values of Mach Number and particle volume fraction. Closure laws for SPARSE terms are constructed using the MBKG method. It is found that the directions normal and parallel to those of shock propagation are the principal directions of the SPARSE tensor. It is also found that the kinetic energy of the fluctuations is independent of the particle volume fraction and is 12-15% of the incoming shock kinetic energy for higher Mach Numbers. Finally, the thesis addresses the cost of performing large ensembles of resolved mesoscale computations for constructing surrogates. Variable fidelity techniques are used to construct an initial surrogate from ensembles of coarse-grid, relative inexpensive computations, while the use of resolved high-fidelity simulations is limited to the correction of initial surrogate. Different variable-fidelity techniques, viz the Space Mapping Method, RBFs and the MBKG methods are evaluated based on their ability to correct the initial surrogate. It is found that the MBKG method uses the least number of resolved mesoscale computations to correct the low-fidelity metamodel. Instead of using 56 high-fidelity computations for obtaining a surrogate, the MBKG method constructs surrogates from only 15 resolved computations, resulting in drastic reduction of computational cost.

Staphylococcus aureus is a gram positive bacterium asymptomatically colonizing 30-40% of the human population. S. aureus causes a variety of infections including superficial skin lesions, toxic shock syndrome, and infective endocarditis (IE). There are 100,000 cases of IE each year in the United States. IE is a life threatening infection of native/prosthetic valves and the lining of the heart. It is characterized by the formation of vegetations, “cauliflower-like” structures composed of bacteria and host factors. S. aureus is the most commonly identified pathogen (up to 40%) in patients with IE. USA200 (Clonal Complex 30) strains of S. aureus are significantly associated with IE, all of which produce toxic shock syndrome toxin-1 (TSST-1) and β-toxin. TSST-1 characterizes the staphylococcal Group I superantigens (SAgs). The major mechanism of activity of TSST-1 and other SAgs is the ability to activate T-cells and APCs by non-specifically cross-bridging Vβ-chains of T-cell receptors (TCRs) with α and/or β-chains of major histocompatibility complex II (MHCII) molecules on antigen presenting cells (APCs). In a rabbit model of IE and sepsis, TSST-1 is critical for the development of vegetations and the associated colony forming units (CFUs). β-toxin has a molecular mass of 35 kDa, a basic pI (>10.0), and is a member of the DNase I superfamily. This cytotoxin has two distinct mechanisms of action: sphingomyelinase (SMase) activity and DNA biofilm ligase activity. β-toxin is critical for causing IE in a rabbit model that strongly resembles human disease. This toxin association had been observed, but studies have not been completed to determine what role TSST-1 and β-toxin play independently and in cooperation with one another, and more specifically which mechanism each uses, during IE infections. While TSST-1 and β-toxin are both important for IE, they are very different toxins. My studies determined that the presence of TSST-1 and β-toxin in combination results in the highest levels of lethality in a rabbit model of IE. A strain expressing TSST-1 lacking superantigenic activity has decreased lethality compared to the same strain expressing wild type TSST-1. My study is the first to begin characterization of the DNA biofilm ligase active site by identifying important residues via a DNA binding and biofilm formation assays. Furthermore, my research shows that a β-toxin mutant lacking SMase activity is decreased in lethality and vegetation formation compared to wild type. β-toxin mutants disrupted in biofilm ligase activity do not decrease lethality but are deficient in vegetation formation compared to wild type. Utilizing in vitro assays to assess cellular events during IE, I established that β-toxin causes changes to morphology and is cytotoxic to human aortic endothelial cells (HAECs), inhibits production of IL-8, and modulates the expression levels of cluster of differentiation 40 (CD40) and vascular cell adhesion molecule 1 (VCAM-1). My work shows these two virulence factors (TSST-1 and β-toxin) produced by USA200 strains and other clonal groups play important roles in causing IE.

Fluid motion has always been of great importance for humanity since much of our progress has been related to our understanding of fluid dynamics and to our control over the fluids surrounding us. In particular, the experimental techniques and the methods for numerical simulation developed during the last century allowed for great progresses both in creating new technologies and in improving old ones. Despite the great importance of experimental techniques, measuring all properties of a fluid throughout the whole domain, without intefering with the flow to be studied, is impossible. Also, building models even in scale is usually expansive. Both of these reasons have driven the development of numerical methods to the point they became an invaluable tool for fluid dynamic studies and the main tool for developing engineering solutions. If numerical methods are to be of any use, though, they have to correctly describe the problem geometry as well as capture the rich dynamics in a variety of flow situations, such as turbulence, boundary-layers and shock-waves. This thesis addresses two of these problems. In particular, I show modified versions of two immersed-interface methods to describe the geometry, simplifying their implementations with no impact to their applicability. I also introduce two methods for handling shock-waves: first aiming to minimize computational costs, then improving shock-wave resolution without increasing the number of grid points. / O movimento dos fluidos sempre foi de grande importância para a humanidade, dado que muito de nosso progresso esteve intimamente relacionado a um entendimento mais profundo de fluidodinâmica e de como controlar os flúidos ao nosso redor. Em particular, os métodos experimentais e de simulação computacional, desenvolvidos no último século, nos permitiram grandes avanços na criação de novas tecnologias e na otimização das já existentes. Apesar de sua grande importância, as dificuldades de se mensurar todas as propriedades de um flúido em todo o espaço, sem interferir com o comportamento do fluxo, além dos custos de se elaborar experimentos em tamanho real ou em escala, fez com que cada vez mais os métodos numéricos se tornassem uma importante ferramenta no estudo da fluido dinâmica e a principal ferramenta para o desenvolvimento de soluções de engenharia. Porém, para efetivamente substituir experimentos, os métodos numéricos tem que ser capazes de corretamente descrever a geometria do problema, além de capturarem todo tipo de comportamento apresentado pelos flúidos, como turbulência, camada limite e ondas de choque. Esta tese busca contribuir com dois destes desafios. Em particular, mostro versões modificadas de métodos de interface imersa para a descrição da geometria, simplificando as implementações originais sem prejudicar sua aplicabilidade. Também abordo métodos para tratar ondas de choque: primeiro buscando minimizar o esforço computacional e depois buscando aumentar a resolução do choque sem precisar refinar a malha computacional.

Abstract not available

Abstract not available