Existing road extraction methods based on deep learning often struggle with distinguishing ground objects that share similar spectral information, such as roads and buildings.Consequently, this study proposes a dual encoder-decoder deep neural network to address road extraction in complex backgrounds.In the feature extraction stage, the first encod

Abstract To improve the sound quality of hearing devices, equalization filters can be used to achieve acoustic transparency, i.e., listening with the device in the ear is perceptually similar to the open ear.The equalization filter needs to ensure that the Blonde Conditioner superposition of the equalized signal played by the device and the signal

The authors present Cheese Slicers a case of thrombosis on the St.Jude Medical 19 aortic valve prosthesis.The diagnosis was confirmed by transthoracic and transoesofageal echocardiography, cardiac fluoroscopy revealed restricted movement of the aortic valve prosthesis leaflet.Thrombolytic therapy was complicated with brain embolism that was success

Prosocial learning involves the acquisition of knowledge and skills necessary for making decisions that benefit others.We asked if, in the context of value-based decision-making, there is any difference between learning strategies for oneself vs.for others.We implemented a 2-step reinforcement learning paradigm in which participants learned, in sep

Abstract Extended-spectrum beta-lactamase (ESBL) and carbapenemase-producing (CP) gram-negative bacteria are the major public health concerns.Gowns used by healthcare workers (HCWs) in daily practice are a source of hospital-acquired infections in hospital settings.The study aimed to determine the prevalence of extended-spectrum beta-lactamase and