Dimensions of intercultural effectiveness: An exploratory study

The present study investigated some of the major dimensions of intercultural effectiveness. Based upon a review of the literature, 24 “abilities” thought to be important for intercultural effectiveness were generated. Fifty-three subjects who had reported functioning effectively in other cultures rated these abilities in terms of their importance in facilitating intercultural effectiveness. Factor analysis of the data yielded three dimensions of intercultural effectiveness: (1) the ability to deal with psychological stress; (2) the ability to communicate effectively; and (3) the ability to establish interpersonal relationships. Results of the study were then related to previous work on intercultural effectiveness.     

‘To show or No-show’? Therapist Racial-ethnic Disparities in Clients’ Nonattendance in Therapy

Clients’ nonattendance in therapy poses a significant threat to the effective delivery of mental health services at university counseling centers. As such, researchers have investigated processes related to clients’ nonattendance in an effort to increase treatment utilization and treatment outcomes. However, there is a paucity of research testing the impact of the therapist on clients’ nonattendance patterns. Additionally, it is unknown whether therapists vary in the nonattendance of their racial/ethnic minority (REM) and White clients. Therefore, the present study sought to identify therapist effects in client nonattendance rates, and examine between-therapist disparities in REM and White clients’ nonattendance patterns. Data for this study consisted of 275 REM and 341 White clients seen by 21 therapists at a large university counseling center. Results indicated that therapists accounted for 14% of the variability in clients’ nonattendance. Additionally, therapist effects in nonattendance due to clients’ REM status were identified, suggesting that therapists are a significant source of racial/ethnic disparities in clients’ nonattendance. REM clients’ nonattendance rates were higher compared to White clients for some therapists, but not others. Clinical implications and future research are discussed.     

An innovative program for multihandicapped deaf students using the FSSI.

Teachers in public schools now have more students with more severe disabilities than they did in the past. Unfortunately, efforts to provide them with a quality education have been hampered by a lack of focused instructional planning. This article describes an innovative program developed for deaf multihandicapped students that has created an integrated focus for instruction. The organizing framework for the program incorporates the Functional Skills Screening Inventory, a domain referenced assessment of living and working skills. This structured approach enables teachers to identify current functional levels, develop meaningful short- and long-term objectives, and monitor student progress throughout their educational programs. It also facilitates long-range planning and evaluation of the instructional program on an ongoing basis.     

Protein and cell patterning in closed polymer channels by photoimmobilizing proteins on photografted poly(ethylene glycol) diacrylate

Definable surface chemistry is essential for many applications of microfluidic polymer systems. However, small cross-section channels with a high surface to volume ratio enhance passive adsorption of molecules that depletes active molecules in solution and contaminates the channel surface. Here, we present a one-step photochemical process to coat the inner surfaces of closed microfluidic channels with a nanometer thick layer of poly(ethylene glycol) (PEG), well known to strongly reduce non-specific adsorption, using only commercially available reagents in an aqueous environment. The coating consists of PEG diacrylate (PEGDA) covalently grafted to polymer surfaces via UV light activation of the water soluble photoinitiator benzoyl benzylamine, a benzophenone derivative. The PEGDA coating was shown to efficiently limit the adsorption of antibodies and other proteins to <5% of the adsorbed amount on uncoated polymer surfaces. The coating could also efficiently suppress the adhesion of mammalian cells as demonstrated using the HT-29 cancer cell line. In a subsequent equivalent process step, protein in aqueous solution could be anchored onto the PEGDA coating in spatially defined patterns with a resolution of <15 μm using an inverted microscope as a projection lithography system. Surface patterns of the cell binding protein fibronectin were photochemically defined inside a closed microfluidic device that was initially homogeneously coated by PEGDA. The resulting fibronectin patterns were shown to greatly improve cell adhesion compared to unexposed areas. This method opens for easy surface modification of closed microfluidic systems through combining a low protein binding PEG-based coating with spatially defined protein patterns of interest.     

Modeling and validation of autoinducer-mediated bacterial gene expression in microfluidic environments

Biosensors exploiting communication within genetically engineered bacteria are becoming increasingly important for monitoring environmental changes. Currently, there are a variety of mathematical models for understanding and predicting how genetically engineered bacteria respond to molecular stimuli in these environments, but as sensors have miniaturized towards microfluidics and are subjected to complex time-varying inputs, the shortcomings of these models have become apparent. The effects of microfluidic environments such as low oxygen concentration, increased biofilm encapsulation, diffusion limited molecular distribution, and higher population densities strongly affect rate constants for gene expression not accounted for in previous models. We report a mathematical model that accurately predicts the biological response of the autoinducer N-acyl homoserine lactone-mediated green fluorescent protein expression in reporter bacteria in microfluidic environments by accommodating these rate constants. This generalized mass action model considers a chain of biomolecular events from input autoinducer chemical to fluorescent protein expression through a series of six chemical species. We have validated this model against experimental data from our own apparatus as well as prior published experimental results. Results indicate accurate prediction of dynamics (e.g., 14% peak time error from a pulse input) and with reduced mean-squared error with pulse or step inputs for a range of concentrations (10 μM–30 μM). This model can help advance the design of genetically engineered bacteria sensors and molecular communication devices.