Knowledge, attitudes and practices of Australian dairy goat farmers towards the control of gastrointestinal parasites.

Background: Gastrointestinal parasites such as nematodes and coccidia are responsible for significant economic losses in the goat industry globally. An indiscriminate use of antiparasitic drugs, primarily registered for use in sheep and cattle, in goats has resulted in drug-resistant gastrointestinal parasites. Very little is known about the gastrointestinal parasite control practices used by Australian dairy goat farmers that are pivotal for achieving sustainable control of economically important parasites.

Long-term clinical outcomes of isolated orbital floor fracture reconstruction using nonresorbable implants.

Purpose: There are no universally established guidelines for material selection in orbital wall fracture reconstruction. With an increasing preference for permanent implants, this study aimed to compare the long-term clinical outcomes of three different non-resorbable materials in reconstructing isolated orbital floor fractures.

Design: A retrospective, interventional comparative study.

Visualizing Plant Disease Distribution and Evaluating Model Performance for Deep Learning Classification with YOLOv8.

This paper presents a novel methodology for plant disease detection using YOLOv8 (You Only Look Once version 8), a state-of-the-art object detection model designed for real-time image classification and recognition tasks. The proposed approach involves training a custom YOLOv8 model to detect and classify various plant conditions accurately. The model was evaluated using a testing subset to measure its performance in detecting different plant diseases.

Malay translation and validation of modified checklist for autism in toddlers, revised with follow-up (M-CHAT-R/F).

Introduction: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition diagnosed clinically based on phenotypic characteristics and criteria such as the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Due to its significant social, emotional, and psychological impacts, early identification and diagnosis are crucial for starting early intervention and improving outcomes. A screening tool is imperative in identifying young children at risk so timely intervention can be instituted.