Machine-Learning Predictions of Cochlear Implant Functional Outcomes: A Systematic Review.

Objectives: Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) techniques are uniquely poised for this predictive challenge because they can analyze nonlinear interactions using large amounts of multidimensional data. The objective of this article is to systematically review the literature regarding ML models that predict functional CI outcomes, defined as sound perception and production.

Ascertaining the Environmental Advantages of Pavement Designs Incorporating Recycled Content through a Parametric and Probabilistic Approach.

Reclaimed asphalt pavement (RAP) is a widely used end-of-life (EoL) material in asphalt pavements to increase the material circularity. However, the performance loss due to using RAP in the asphalt binder layer often requires a thicker layer, leading to additional material usage, energy consumption, and transportation effort. In this study, we developed a parametric and probabilistic life cycle assessment (LCA) framework to robustly compare various pavement designs incorporating recycled materials.

Evaluating the feasibility and preliminary effects of an online compassion training program for nursing students: A pilot randomized controlled trial.

Objectives: This study aimed to assess the feasibility of an online compassion training program for nursing students and preliminarily investigate its effects on mindfulness, self-compassion, and stress reduction.

Methods: This study employed a randomized controlled trial design. Second-year students from a nursing college in Guangzhou, China, were recruited as research participants in August 2023.

Which psychological needs profile exhibits higher engagement and favorable attitudes toward interprofessional education? A cluster analysis among health and social care Hong Kong students.

Background: This study aimed to investigate which basic psychological needs profile, based on different levels of autonomy, competence, and relatedness, could exhibit higher student engagement and favorable attitudes toward interprofessional education (IPE).

Methods: A total of 341 undergraduate and postgraduate health and social care students enrolled in an IPE simulation participated in this study. Data were analyzed using a person-centered approach using a two-step cluster analysis, multiple analysis of variance, and bootstrapped independent t-tests.

The associations of e-health perception and dementia knowledge with dementia public stigma in nursing students: A cross-sectional study.

Background: Preparing nursing students for dementia care, a prevalent cause of mortality, disability, and dependency among older people, is essential. Positive perceptions of e-health are believed to be associated with better knowledge, attitude, and skills among nurses across various care contexts. However, the relationship between e-health perception and nursing students' dementia knowledge and stigma remains underexplored.