Exploring nonlinear chaotic systems with applications in stochastic processes.

This manuscript explores the stability theory of several stochastic/random models. It delves into analyzing the stability of equilibrium states in systems influenced by standard Brownian motion and exhibit random variable coefficients. By constructing appropriate Lyapunov functions, various types of stability are identified, each associated with distinct stability conditions.

Achalasia in an Eight-Week-Old Infant Successfully Managed by CRE Balloon Dilatation: A Case Report and Literature Review.

Achalasia is uncommon in pediatrics and typically presents after five years of age. It is often managed medically, endoscopically, or surgically such as myectomy. This case highlights an exceptionally rare occurrence of achalasia at the age of eight weeks, successfully treated with endoscopic CRE® balloon dilatation, providing prompt relief of symptoms.

Quality-of-life among women with breast cancer: application of the international classification of functioning, disability and health model.

Background: This study aimed to identify the factors that influence Breast Cancer (BC) women's quality of life (QoL) based on the International Classification of Functioning, Disability and Health (ICF) framework.

Method: A cross-sectional study was conducted among 188 women with BC. The dependent variable, QoL, was measured using the Quality of Life Index (QLI-c).

Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models.

Sleep disorder is a disease that can be categorized as both an emotional and physical problem. It imposes several difficulties and problems, such as distress during the day, sleep-wake disorders, anxiety, and several other problems. Hence, the main objective of this research was to utilize the strong capabilities of machine learning in the prediction of sleep disorders.