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Background: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice.

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Background: Health systems are increasingly offering patient portals as tools for patients to access their health information with the goal of improving engagement in care. However, understanding health care providers' perspectives on patient portal implementation is crucial.

Objective: This study aimed to understand health care providers' experiences of implementing the MyChart patient portal, perspectives about its impact on patient care, clinical practice, and workload, and opportunities for improvement.

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is a medicinal plant native to East Asia with its diverse therapeutic potentials. In particular, the antioxidant effect of this plant is well known, but there has been little research on the antioxidant effect according to different habitats or ages. In this study, we evaluated the proximate composition, mineral, saponin, rutin, total phenolic and flavonoid contents, and antioxidant activities of leaf extracts of plants cultivated from two different regions (New Zealand and Jeju Island, Korea) and of the same age (2-year-old plants).

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Purpose: Job interviews are often an integral component of the hiring process, but for individuals with autism spectrum disorder (ASD), job interviews can pose an unfair barrier to employment. Although employers may perceive candidates with ASD as qualified, they tend to reject those candidates in interviews because of atypical social interactions. This is true in situations in which evaluators are naïve to candidates' ASD diagnosis and have no training about neurodiversity.

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Synthetic organic dye such as methylene blue (MB) is non-biodegradable and highly toxic, released from textile wastewater. This work investigates the applicability of Ni@ZnO polymer nanocomposite for MB removal from the wastewater. To understand their differences before and after MB adsorption, composites' surface morphology was characterized by various techniques including scanning electron microscope (SEM), thermogravimetric analysis (TGA), X-ray diffraction (XRD), energy dispersive spectroscopy (EDS), Fourier transformation infrared (FT-IR) and UV-Vis spectrophotometer.

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