Nature and prevalence of long-term conditions in people with intellectual disability: retrospective longitudinal population-based study.

Objective: Explore the nature and prevalence of long-term conditions in individuals with intellectual disability.

Design: Retrospective longitudinal population-based study.

Setting: Primary and secondary care data across the population of Wales with the Secure Anonymised Information Linkage (SAIL) Databank.

Explicit and indirect, latency-based measure of aggression in striking combat sports.

Introduction: Aggression in sports is often perceived as a necessary trait for success, especially in martial arts. Aggression can be assessed both explicitly and implicitly, taking into account the dual processing model. The purpose of the research was to examine explicit and indirect, latency-based measure of aggression in competitive athletes practicing striking combat sports, according to gender and sports performance.

Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets.

Image retrieval is the process of searching and retrieving images from a datastore based on their visual content and features. Recently, much attention has been directed towards the retrieval of irregular patterns within industrial or healthcare images by extracting features from the images, such as deep features, colour-based features, shape-based features, and local features. This has applications across a spectrum of industries, including fault inspection, disease diagnosis, and maintenance prediction.

Psychological capital, quality of life, and well-being in mother caregivers of individuals with down syndrome.

Introduction: Caused by an error in cell division that produces an additional chromosome 21, Down syndrome (DS) is one of the most common developmental disorders in the world. This study aims to analyze the relationship between psychological capital, quality of life and well-being of caregivers of individuals with Down syndrome (DS).

Methods: The participants were 98 caregivers (mothers, = 52.

A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval.

Cross-Modal Hashing (CMH) retrieval methods have garnered increasing attention within the information retrieval research community due to their capability to deal with large amounts of data thanks to the computational efficiency of hash-based methods. To date, the focus of cross-modal hashing methods has been on training with paired data. Paired data refers to samples with one-to-one correspondence across modalities, e.