AUTISTIC SPECTRUM DISORDER DETECTION AND STRUCTURAL BIOMARKER IDENTIFICATION USING SELF-ATTENTION MODEL AND INDIVIDUAL-LEVEL MORPHOLOGICAL COVARIANCE BRAIN NETWORKS

Autism spectrum disorder (ASD) is a range of neurodevelopmental disorders, which brings enormous burdens to the families of patients and society.However, due to the lack of representation of variance for diseases and the absence of biomarkers for diagnosis, the early detection and Gloves intervention of ASD are remarkably challenging.In this study,

Background Cleanliness of hospital surfaces helps prevent healthcare-associated infections, but comparative evaluations of various cleaning strategies during COVID-19 pandemic surges and worker shortages are scarce.Purpose and methods To evaluate the effectiveness of daily, enhanced terminal, and contingency-based cleaning strategies in an acute ca

People across the globe increasingly rely on digital platforms to communicate, entertain and access information.Whereas many of these activities were conducted through legacy news media, entities such as Google, Facebook, YouTube and Instagram currently dominate in most national contexts.The business models of digital platforms, their global nature

In this paper we use the method of fuzzification of crisp set to fuzzy set as extension of crisp set to fuzzy set.In particular Adhesion Promoter the concepts of fuzzy closed filters of a bounded BE-algebra are introduced; and also some related properties are investigated.As a result a new concept of fuzzy closed Cleaners and Solutions - Instrument

Bureau of mining heavy equipment maintenance at PT.Semen Padang have task in maintenance mine heavy equipment with preventive maintenance although breakdown maintenance.Part inventory is needed to make this activity work properly.If stockout happened will have the impact lift board to PT.Semen Padang mining and production activity.To solve this pro