Publications by authors named "K W Hewett"

This study tested for the emergence of listener discriminations and intraverbal vocal responses following tact training with four autistic children. All participants were trained to tact the name and the favorite food of two contrived cartoon monsters in the presence of a picture of the monster (e.g.

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Easy sample collection, physiological relevance, and ability to noninvasively and longitudinally monitor the human body are some of the key attributes of wearable sweat sensors. Examples typically include reversible sensors or an array of single-use sensors embedded in specialized microfluidics for temporal analysis of sweat. However, evolving this field to a level that truly represents "lab-on-skin" technology will require the incorporation of advanced functionalities that give the user the freedom to (1) choose the precise time for performing sample analysis and (2) select sensors from an array embedded within the device for performing condition-specific sample analysis.

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Video games are known to be engaging affinity spaces for youth gamers but how do they develop leadership skills? In order to explore a bridge between high school and college leadership competencies, it is beneficial to reflect on how they align with the collaborative leadership skills of classroom gamers. This article will explore how video games can be utilized to teach student leadership competencies (SLCs) and provide integration ideas for practitioners.

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Purpose: Antibiotic resistance is widespread throughout the world and represents a serious health concern. There is an urgent need for the development of novel tools for rapidly distinguishing antibiotic resistant bacteria from susceptible strains. Previous work has demonstrated that differences in antimicrobial susceptibility can be reflected in differences in the profile of volatile organic compounds (VOCs) produced by dissimilar strains.

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Article Synopsis
  • * This study focuses on analyzing volatile organic compounds (VOCs) produced by bacteria to identify differences between antibiotic-resistant and susceptible strains in urinary tract infections.
  • * By detecting six specific VOCs, the research achieved an 85.7% accuracy in distinguishing between the two types of bacteria, suggesting that this method could lead to faster and more efficient diagnostic techniques in the future.
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