A Structural Equation Modelling on the Factors Affecting Intolerance of Uncertainty and Worry Among a Select Group of Filipino Elderly

Across the literature, the interest in the phenomenon of intolerance of uncertainty (IU) and worry has increased exponentially. However, limited empirical studies exist about the factors that affect IU and worry among older people. The purpose of the study was to examine the impact of spirituality, self-efficacy, and knowledge about aging on IU and worry. A total of 219 Filipino elderly were recruited from institutionalized and hospital care settings. A multiaspect questionnaire was utilized to measure spirituality, self-efficacy, knowledge, intolerance uncertainty, and worry. Exploratory factor analysis (EFA) was used to explore the dimensions of IU and worry. Moreover, structural equation modelling was used to test the hypothesized model. Results of EFA identified four factor dimensions of uncertainty, namely: perfection-driven uncertainty, apprehension-driven uncertainty, avoidance-driven uncertainty, negativism-driven uncertainty. Further, three factor dimensions of worry were also distinguished: constant worriers, obsessive-compulsive worriers, and happy-go-lucky worriers. Moreover, results of structural equation modeling (SEM) showed interaction among the variables presented. Additionally, spirituality showed a positive effect on self-efficacy. However, self-efficacy does not have an effect on IU and worry. Nevertheless, an emerging path between knowledge and IU supported the claim of Nuevo, Wetherell, Montorio, Ruiz, and Cabrera (2009). The study was able to determine the positive effect of spirituality to self-efficacy and its existing correlation with knowledge about aging in relation to elderly's IU and worry. The emerging model can serve as a reference for nurses to address the sociopsychological needs of the geriatric clients employing spirituality and psychiatric nursing.     

Streamline based design guideline for deterministic microfluidic hydrodynamic single cell traps

A prerequisite for single cell study is the capture and isolation of individual cells. In microfluidic devices, cell capture is often achieved by means of trapping. While many microfluidic trapping techniques exist, hydrodynamic methods are particularly attractive due to their simplicity and scalability. However, current design guidelines for single cell hydrodynamic traps predominantly rely on flow resistance manipulation or qualitative streamline analysis without considering the target particle size. This lack of quantitative design criteria from first principles often leads to non-optimal probabilistic trapping. In this work, we describe an analytical design guideline for deterministic single cell hydrodynamic trapping through the optimization of streamline distributions under laminar flow with cell size as a key parameter. Using this guideline, we demonstrate an example design which can achieve 100% capture efficiency for a given particle size. Finite element modelling was used to determine the design parameters necessary for optimal trapping. The simulation results were subsequently confirmed with on-chip microbead and white blood cell trapping experiments.     

English Isn＇t an Easy Language

多年来。Brad收到了许许多多中国学生的信。在信中，他们用英语与Brad诉说心事。畅谈梦想。Brad对学生们能够自如地运用英语进行交流惊叹不已。因为在他看来，学习英语可不是一件容易的事……