Publications by authors named "J L Klatt"

This research assessed the cross-cultural validity and internal consistency of the Enright Forgiveness Inventory short form (EFI-30). A total of 1677 people across four countries (United States, the Philippines, China and Saudi Arabia) participated in the study. Data analysis relied on multigroup confirmatory factor analysis and assessments of internal consistency.

View Article and Find Full Text PDF
Article Synopsis
  • The study aimed to analyze the femoral deformity after fixing the hip in patients with a slipped capital femoral epiphysis (SCFE) and its connection to skeletal immaturity.
  • Researchers reviewed data from 27 patients with unilateral SCFE who underwent a specific treatment and followed them for at least three years.
  • Findings revealed that greater overgrowth in the trochanter was linked to wider triradiate cartilage and an open TRC, indicating that more caution is needed when performing prophylactic hip fixation.
View Article and Find Full Text PDF

Stem cells and scaffolds are an important foundation and starting point for tissue engineering. Human dental pulp stem cells (DPSC) are mesenchymal stem cells with self-renewal and multi-directional differentiation potential, and are ideal candidates for tissue engineering due to their excellent biological properties and accessibility without causing major trauma at the donor site. Tetracycline hydrochloride (TCH), a broad-spectrum antibiotic, has been widely used in recent years for the synthesis of cellular scaffolds to reduce the incidence of postoperative infections.

View Article and Find Full Text PDF

Methane is a potent greenhouse gas, which likely enabled the evolution of life by keeping the early Earth warm. Here, we demonstrate routes towards abiotic methane and ethane formation under early-earth conditions from methylated sulfur and nitrogen compounds with prebiotic origin. These compounds are demethylated in Fenton reactions governed by ferrous iron and reactive oxygen species (ROS) produced by light and heat in aqueous environments.

View Article and Find Full Text PDF

Purpose: Whilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term outcomes. We developed a machine learning model to predict poor school outcomes in children surviving intensive care unit (ICU).

Methods: Population-based study of children < 16 years requiring ICU admission in Queensland, Australia, between 1997 and 2019.

View Article and Find Full Text PDF