Abstract Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decision-making, and facilitating medical education.Although state-of-the-art LLMs have shown superior performance in several conversational applications, evaluations
In recent years, with increasing social pressure and irregular schedules, many people have developed unhealthy eating habits, which has resulted in an increasing number of patients with diabetes, a disease that cannot be cured under the current medical conditions, and can only be mitigated by early detection and prevention.A lot of human and materi
ABSTRACT: This study aimed to investigate dairy cattle breeding goals with more emphasis on resilience.We simulated the consequences of increasing weight on resilience indicators and an assumed true resilience trait (TR).Two environments with different breeding goals were simulated to represent the variability of production systems across Europe.Te
Recently, fully convolutional neural networks have been adopted for salient object detection and object contour detection, MEGA KIDS and have achieved impressive performance.Closely related contours are employed to help supervise low-level features, rather than being simultaneously trained as associated tasks as in most methods.This study proposes
In this Baby Bottle article we demonstrate that acceleration and deceleration of direction-turning drones at waypoints have a significant influence to path planning which is important to be considered for time-critical applications, such as drone-supported search and rescue.We present a new path planning approach that takes acceleration and deceler