Jesters of Well-Being: Examining the Relationship between Clown Doctors and Patients.

Clown doctors play a crucial role in enhancing the well-being of patients through the use of humor. However, little is known about how the use of humor by clown doctors changes in relation to the developmental age of patients. This research explores the interplay between the type of humor used by clown doctors, their experience (in terms of years of clowning and type of clowning), and the developmental age of the patients (children, adolescents, adults, elderly).

Understanding the Association Between Humor and Emotional Distress: The Role of Light and Dark Humor in Predicting Depression, Anxiety, and Stress.

Despite increasing interest in the relationship between humor and psychological distress, investigations have failed to focus on specific categories of humor and negative mental conditions. A sample of 686 Italian participants (187 men and 499 women), aged between 20 and 76 years, completed an online survey, data from which was used to investigate the relationship between eight comic styles, depression, anxiety, and stress. Findings from the multiple linear regression demonstrate benign humor as a protective factor of all three variables considered, while irony was positively associated with anxiety and stress.

Low bone mineralization in phenylketonuria may be due to undiagnosed metabolic acidosis.

Background: Dietary intervention is to date the mainstay treatment to prevent toxic phenylalanine (Phe) accumulation in PKU patients. Despite success preventing central nervous system damage, there is increasing evidence of possible other unfavorable outcomes affecting other systems, e.g.

Do Clowns Really Taste Funny? An Investigation of the Relationship between Humor and Playfulness in Clown Doctors.

Healthcare clowning represents a well-established method for relieving patients and their relatives of discomfort during hospitalization. Although studies concerning the effectiveness of this approach are increasing in number, state-of-the-art studies conducted to evaluate the psychological characteristics of clown doctors are scarce. In this cross-sectional study, a convenient sample of 210 clown doctors (143 females, 67 males) aged between 18 and 75 years (M = 47.

Integrating Sparse Learning-Based Feature Detectors into Simultaneous Localization and Mapping-A Benchmark Study.

Simultaneous localization and mapping (SLAM) is one of the cornerstones of autonomous navigation systems in robotics and the automotive industry. Visual SLAM (V-SLAM), which relies on image features, such as keypoints and descriptors to estimate the pose transformation between consecutive frames, is a highly efficient and effective approach for gathering environmental information. With the rise of representation learning, feature detectors based on deep neural networks (DNNs) have emerged as an alternative to handcrafted solutions.