Recently, evidence has emerged that humans approach learning using Bayesian updating rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem.Here, we investigate what this implies for human appreciation of uncertainty.In our task, a Bayesian learner distinguishes three equally salient levels of uncertainty.First, the
Abstract Introduction We present a detailed procedure for the robotic-assisted plate osteosynthesis of an anterior acetabular fracture.The purpose of this work was to describe a robotic-assisted minimally invasive technique as a possible method for reducing complications, pain, and hospitalization.Another goal was to present technical recommendatio
Objectives.In this study, we evaluated the associations between birth-related exposures, postnatal factors, and the risk of allergic rhinitis and asthma in children Shocks and adolescents.Methods.We performed a comprehensive search of five literature databases up to May 2023.To quantify the associations of birth-related exposures (birth weight, del
Objectives: The blind and visually disabled people form a predominant group Oral Care in the disabled society and hence, need greater attention.Most of the rehabilitation therapists, especially occupational therapists, do not focus on this group.Thus, the aim of the study is to shed light on the issue of negligent attitude of rehabilitation therapi
Background: Cost-effectiveness analysis (CEA) is a valuable tool in healthcare used to evaluate the economic efficiency of antibiotic treatments by comparing their costs with clinical outcomes, such as cost per life saved or quality-adjusted life days (QALDs) gained.This approach aids in informed decision-making, highlights price variations, and id