A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils.

This study introduces a novel deep learning-based technique for predicting pressure distribution images, aimed at application in image-based approximate optimal design. The proposed approach integrates both unsupervised and supervised learning paradigms, employing autoencoders (AE) for the unsupervised component and fully connected neural networks (FNN) for the supervised component. A surrogate model based on 2D image data was developed, enabling a comparative analysis of three distinct methods: the conventional AE, the convolutional autoencoder (CAE), and a hybrid CAE, which combines the CAE with a conventional AE.

Clinical Judgment Model-Based Critical Reflection Program for Newly Graduated Nurses: A Nonrandomized Controlled Trial.

This study evaluated the effects of a critical reflection program utilizing the Lasater Clinical Judgment Rubric (LCJR) reflective questions based on the Clinical Judgment Model (CJM) on newly graduated nurses' clinical judgment skills. A total of 153 newly graduated nurses scheduled for on-site training in a ward nursing unit were divided into a control group (receiving only the usual on-site training with preceptorship) and an experimental group (receiving the developed program with the same on-site training with preceptorship as the control group). Data were collected at baseline, 6 weeks, and 3 months after the intervention.

A retrospective review of the common childhood illnesses and the indications for antibiotic prescription at community hospital in Malawi.

Background: Childhood remains a vulnerable period and a key determiner for adult health. Various illnesses experienced by children in their early years determine future performance and contribution to society. Acute and chronic infectious diseases, undernutrition, and early childhood non-communicable diseases have greatly been linked to intellectual disability, poor childhood development, increased morbidity, and household and healthcare economic costs.

Relationship between nocturnal blood pressure dip and β-parapapillary atrophy zone choroidal vessel density in normal-tension glaucoma patients.

Purpose: To investigate the relationship between nocturnal blood pressure (BP) dip and parapapillary choroidal vessel density (pCVD) in patients with normal-tension glaucoma (NTG).

Methods: This study analyzed 267 eyes of 267 untreated NTG patients who underwent 24-hour (h) intraocular pressure (IOP) and ambulatory BP monitoring in the habitual position. Patients were classified into 3 groups [non-dippers (nocturnal BP dip < 10%), dippers (nocturnal BP dip between 10% and 20%, and over-dippers (nocturnal BP dip > 20%)], and pCVDs were measured by using optical coherence tomography angiography (OCTA) images.