Publications by authors named "C Hickman"

Purpose: Artificial Intelligence (AI) technologies are rapidly expanding across diverse contexts. As the reach of AI continues to grow, there is a need to examine student perspectives on the increasing prevalence of AI and AI-based practice approaches in social work.

Materials And Methods: In this qualitative study, we conducted structured interviews with 15 students in bachelors and masters social work programs.

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Pareidolic faces-illusory faces in objects-offer a unique context for studying biases in the development of facial processing because they are visually diverse (e.g., color, shape) while lacking key elements of real faces (e.

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Background: In recent times, various algorithms have been developed to assist in the selection of embryos for transfer based on artificial intelligence (AI). Nevertheless, the majority of AI models employed in this context were characterized by a lack of transparency. To address these concerns, we aim to design an interpretable tool to automate human embryo evaluation by combining artificial neural networks (ANNs) and genetic algorithms (GA).

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Article Synopsis
  • * Researchers developed a new subunit vaccine using a stabilized mumps fusion glycoprotein (Pre-F) and a chimeric immunogen, which showed strong immune responses in mice against various mumps genotypes.
  • * The study identified specific antibodies against the Pre-F and hemagglutinin neuraminidase (HN), which could neutralize the virus effectively, suggesting these new immunogens could enhance existing vaccine-induced immunity or serve as improved vaccine options.
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Introduction: It remains unclear if pacing induced cardiomyopathy (PICM) may be minimized by standard pacing of the right ventricle (RV) at sites other than the RV apex. The purpose of this study is to compare the relative frequency of PICM in a population of patients paced at either the superficial RV mid septum (RVMS) or RV apex (RVA), and other outcomes that may differ between these sites.

Methods And Results: A retrospective evaluation was performed on all patients undergoing pacemaker implantation between 2011 and 2022.

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