Abstract Auscultation plays a pivotal role in early respiratory and pulmonary disease diagnosis.Despite the emergence of deep learning-based methods for automatic respiratory sound classification post-Covid-19, limited datasets impede performance enhancement.Distinguishing between normal and abnormal respiratory sounds poses challenges due to the c

Abstract RTS,S/AS01 is an advanced pre-erythrocytic malaria vaccine candidate with demonstrated vaccine efficacy up to 86.7% in controlled human malaria infection (CHMI) studies; however, reproducible immune correlates of protection (CoP) are elusive.To identify candidates of humoral correlates of vaccine mediated protection, we measured antibody m

With FDA-approved devices, left atrial appendage (LAA) occlusion has emerged as a well-established and rapidly growing approach to stroke prevention in patients with non-valvular atrial fibrillation.These devices are indicated for use in patients who are at increased risk of stroke and systemic embolism, as determined by CHA2DS2-VASc scores, and ar

This paper presents a new solution for underwater observation, image recording, mapping and 3D reconstruction in shallow waters.The platform, designed as a research and testing tool, is based on a small underwater robot equipped with a MEMS-based IMU, two stereo cameras and a pressure sensor.The data Crop Jumper given by the sensors are fused, adju

Abstract Understanding the factors that influence the human perception of glare is necessary to properly address glare risks in buildings and achieve comfortable visual environments, especially in the workplace.Yet large inter-individual variabilities in glare perception remain unexplained and thus uncovered by the current empirical glare models.We