Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Early and accurate prediction is crucial for reducing mortality. However, clinical settin...
Objective To develop and validate a Union Model integrating clinical features with radiomics signatures derived from intratumoral and peritumoral T2-weighted imaging (T2WI) and diffusion-weighted imag...
Objective This study examined the longitudinal effects of Home-visit sports service on loneliness and social isolation in children and adolescents, focusing on social connectedness as a mediator, and ...
Urbanization combined with climate change is intensifying urban thermal stress, requiring proactive and spatially explicit heat-risk assessment. This study develops a scenario-based framework that int...
Background: Viral pneumonia (VP) is a common complication in patients with hematologic malignancies (HM). This study aimed to construct and validate an interpretable prognostic prediction model for VP...
Background and Objective: Chronic obstructive pulmonary disease (COPD) is a widespread and severely disabling respiratory disorder that places a substantial burden on global healthcare systems. Precis...
Based on the recycling technology of waste concrete, the preparation of regenerated aggregate and regenerated fine powder, and the use of them to replace quartz sand and cement, and the preparation of...
Reliable contact-state identification is essential for predicting the dynamic response of multibody systems with revolute clearance joints. Existing kinematic models remain restricted by profile assum...
Clustering is widely used to discover interpretable structure in data, but conventional unsupervised methods group examples by \emph{feature similarity} alone, ignoring any available prediction tar...
Modeling air quality concentration plays a crucial role in predicting and mitigating airborne pollutant levels. This study collected and organized daily average air quality data and meteorological dat...
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