Is There a Tiger Mother Effect? : An Interpretive Phenomenological Analysis of immigrant Vietnamese-Australian’s parenting experience

Current census data reports that more than a quarter of Australia’s population is from overseas (Australian Bureau of Statistics [ABS], 2007). With respect to the Vietnamese population, the 2006 Census has reported over 150 thousand Vietnamese-born people in Australia (ABS, 2007). While there has been a steady rise in the immigrant Vietnamese population, few studies have examined this population and this is extended to the parenting and acculturation literature (Nguyen & Cheung, 2009). The research literature has also tended to lump together distinct ethnic groups that make up the “Asian” designation, thus obscuring the inter-cultural diversity of research (Liu, Pope-Davis, Nevvit & Topotek, 1999). In addition, existing research on immigrant Asians parents have focused heavily on quantifying Baumrind’s (1971) parenting styles on various outcomes (e.g., academic, social adjustment), and mixed results have been presented, in application to Asian populations. Few studies have employed qualitative methods and currently, no such study exists for the immigrant Vietnamese population. Through the use of Interpretive Phenomenological Analysis, the present study attempted to address this gap in the literature by providing an idiographic perspective on the parenting experiences of Vietnamese Australians. Seven mothers and two fathers were interviewed through a semi structured format. Resultant themes revealed the significance of character development, a balanced approach and education. Implications for practice and suggestions for future research are discussed

An Introduction to Data Visualization with Tableau

Tony Nguyen, MLIS, AHIP, is Technology & Communications Coordinator, National Network of Libraries of Medicine (NNLM), Southeastern/Atlantic Region (SEA), University of Maryland, Baltimore. This presentation is an introduction to the concepts of visually representing data with the tool Tableau

Trochoidal Milling of AlSiCp with CVD Diamond Coated End Mills

Metal matrix composites have seen a rise in demand within the last decade. Aluminum alloy reinforced with silicon carbide particles is a type of particle metal matrix composite that has seen applications in the aerospace, ground transportation, and electronics industry. However, the abrasive SiC particles have made this material difficult to machine through conventional machining strategies. This research will focus on using computer aided manufacturing with trochoidal tool paths to maximize machining productivity and extend the tool life of CVD diamond coated end mills. The focus of this research will be on AlSiCp with a high volume fraction of reinforcement (30%) to expand the potential applications of this pMMC. The cutting experiments are divided into three parts: cutting test, confirmation test, and endurance test. Taguchi method will be used to perform an analysis of variance and signal-to-noise ratio to optimize a combination of material removal rate, average cutting forces, and surface roughness. The optimal cutting conditions were found to be 254 mm/min, 30°, and 9500 r/min for MRR+AvgFxy+Ra, 1524 mm/min, 30°, and 9500 r/min for MRR+AvgFxy, and 1524 mm/min, 90°, and 9500 r/min. The cutting conditions for MRR+AvgFx+Ra was not considered for the endurance tests as the machining productivity was too low to be considered a feasible option in the industry. It was concluded that trochoidal milling under wet cutting conditions produced nearly half the tool wear as previous research with conventional milling strategies. However, the longer the CVD diamond coated end mills were engaged in the AlSiCp workpiece, the more dominant the abrasive wear mechanisms appear and cause tool damage. It was concluded that square end mills may not be suitable for machining AlSiCp and that future research should focus on varying the tool geometry or utilizing ball end mills

Hvac Supply Air Optimization Using Evolutionary Algorithms

Heating, ventilation, and air-conditioning account for a vast majority of energy consumption in the residential and commercial sectors. Intelligent energy management control system (EMCS) in buildings offers an excellent means of reducing energy consumption in heating, ventilation, and air-conditioning (HVAC) systems while maintaining or improving indoor environmental conditions. This can be achieved through the use of computational intelligence and optimization. This project proposes and evaluates a model-based optimization process for HVAC systems using an evolutionary algorithm. The process can be integrated into the EMCS to perform several intelligent functions and achieve optimal whole-system performance. The proposed process addresses the requirements of the latest ASHRAE Standard 62.1. A whole building simulation energy software is used to generate the sub hourly load. The simulations are performed to test the process and determine the potential energy savings achieved. In addition, simulations were conducted at peak load on July 15th and partial load on April 10th to observe the effects of genetic algorithm (GA). Through artificial intelligence utilization, the energy consumption can be better managed. Building controls are like living organisms which can be treated much like evolutionary biology during programming. The single-objective GA optimization and modernized ventilation codes have demonstrated that total energy consumed by the HVAC system can be reduced by 30.6% for the air side distribution

Hvac Supply Air Optimization Using Evolutionary Algorithms

Heating, ventilation, and air-conditioning account for a vast majority of energy consumption in the residential and commercial sectors. Intelligent energy management control system (EMCS) in buildings offers an excellent means of reducing energy consumption in heating, ventilation, and air-conditioning (HVAC) systems while maintaining or improving indoor environmental conditions. This can be achieved through the use of computational intelligence and optimization. This project proposes and evaluates a model-based optimization process for HVAC systems using an evolutionary algorithm. The process can be integrated into the EMCS to perform several intelligent functions and achieve optimal whole-system performance. The proposed process addresses the requirements of the latest ASHRAE Standard 62.1. A whole building simulation energy software is used to generate the sub hourly load. The simulations are performed to test the process and determine the potential energy savings achieved. In addition, simulations were conducted at peak load on July 15th and partial load on April 10th to observe the effects of genetic algorithm (GA). Through artificial intelligence utilization, the energy consumption can be better managed. Building controls are like living organisms which can be treated much like evolutionary biology during programming. The single-objective GA optimization and modernized ventilation codes have demonstrated that total energy consumed by the HVAC system can be reduced by 30.6% for the air side distribution

Research Perspectives on Social Tagging

Social tagging has emerged as one of the most popular social software tools available online. Originating from Del.icio.us, social tagging capabilities can now be found on a number of major music, news, video, and commercial websites, as well as on social network sites and enterprise systems. Although social tagging allows individuals to organize content utilizing user-generated vocabulary, the power of social tagging stems from the ability to view and share resources with other users of the system. Through the sharing of tags and resources, social tagging systems facilitate network connections and perhaps even the creation of communities. In this panel, an exciting group of young researchers will present their ongoing work on social tagging. This panel will present a variety of perspectives on social tagging ranging from qualitative ethnographic work to quantitative visualizations. Additionally, the panel will cover topics such as: the definition of a tag, the role that tags play in social network sites, as well as tags in corporate and organizational settings. The research and the varying methods presented in this panel will present viewers with an exciting array of perspectives on social tagging. Additionally, in order to further engage the audience, the panelists will also participate in a point-counterpoint discussion with the participants which will help illuminate both the advantages and disadvantages of social tagging, as well as further highlight the multiple perspectives and approaches available for continuing social tagging research

Evaluation of an elevated VTE thromboprophylaxis guideline for critically ill patients infected with COVID-19

Retrospective studies and systematic-review meta-analysis have shown an association in inducing a prothrombotic state in patients infected with COVID-19. The risk of VTE are compounded in the critically ill. Current practices at Baptist Hospital of Miami (BHM) is to routinely order standard prophylactic dosed chemical thromboprophylaxis for all patients infected with COVID-19. In August 2020 an anticoagulation guidance document was approved to tailor anticoagulation dosing for critically ill COVID-19 patients. At risk patients were based on clinical and laboratory markers such as D-dimer, CRP, and ferritin. Following implementation, our analysis show a statistically significant reduction in the number of treatment dose anticoagulation used within the intensive care units and a statistically significant increase in the number of intermediate intensity anticoagulation ordered. The rate of bleeding was similar before and after implementation, and the rate of venous thromboembolism no statistical difference with a relative risk (RR) of 1.88 (95% CI 0.78 to 4.50). However given the high frequency of VTE further evaluation is underway. Additionally, pending peer review, the REMAP-CAP, ATTACC, and ACTIV-4A is expected to guide clinical practice in the prevention of COVID-19 associated VTE

An electronic healthcare record server implemented in PostgreSQL

This paper describes the implementation of an Electronic Healthcare Record server inside a PostgreSQL relational database without dependency on any further middleware infrastructure. The five-part international standard for communicating healthcare records (ISO EN 13606) is used as the information basis for the design of the server. We describe some of the features that this standard demands that are provided by the server, and other areas where assumptions about the durability of communications or the presence of middleware lead to a poor fit. Finally, we discuss the use of the server in two real-world scenarios including a commercial application

the ALOE: High Rise Schematic Design and Analysis

The authors of this document are architectural engineering (ARCE) undergraduate students from California Polytechnic State University, San Luis Obispo (Cal Poly). They joined the 2020 Skyscraper Collaboratory as part of the ARCE course 415: Interdisciplinary Capstone Project. This course emphasizes the analysis and evaluation of interdisciplinary challenges associated with integrating the design and construction processes to deliver a project with respect to the design, quality, and performance expectations for a client or presented criteria. The course was taught in collaboration with industry partners and associates from the global architectural, urban planning, and engineering firm Skidmore, Owings & Merrill (SOM). Instruction took place over the span of twenty weeks to educate students about high-rise residential building design in an interdisciplinary and integrated design studio. This report details the students’ design approach for the architectural typology of rotation. The document focuses on architectural design process, structural analysis, and project impacts. More specifically, this report examines the development of building form, inherent torsion due to rotation, and contextual outcomes of tall buildings

A quantitative review of the transition salt concentration for inhibiting bubble coalescence

Some salts have been proven to inhibit bubble coalescence above a certain concentration called the transition concentration. The transition concentration of salts has been investigated and determined by using different techniques. Different mechanisms have also been proposed to explain the stabilizing effect of salts on bubble coalescence. However, as yet there is no consensus on a mechanism which can explain the stabilizing effect of all inhibiting salts. This paper critically reviews the experimental techniques and mechanisms for the coalescence of bubbles in saline solutions. The transition concentrations of NaCl, as the most popularly used salt, determined by using different techniques such as bubble swarm, bubble pairs, and thin liquid film micro-interferometry were analyzed and compared. For a consistent comparison, the concept of TC95 was defined as a salt concentration at which the "percentage coalescence" of bubbles reduces by 95% relative to the highest (100% in pure water) and lowest (in high-salt concentration) levels. The results show a linear relationship between the TC95 of NaCl and the reciprocal of the square root of the bubble radius. This relationship holds despite different experimental techniques, salt purities and bubble approach speeds, and highlights the importance of the bubble size in bubble coalescence. The available theoretical models for inhibiting effect of salts have also been reviewed. The failure of these models in predicting the salt transition concentration commands further theoretical development for a better understanding of bubble coalescence in salt solutions