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River transport of dissolved organic carbon (DOC) to the ocean is a crucial but poorly quantified regional carbon cycle component. Large uncertainties remaining on the riverine DOC export from China, as well as its trend and drivers of change, have challenged the reconciliation between atmosphere-based and land-based estimates of China's land carbon sink. Here, we harmonized a large database of ri
Vascular aging (VA) is a reflection of biological aging in general and subject to many influences during the life course. It involves all aspects of the cardiovascular system but is most visible in the age-related increased arterial stiffness of large elastic arteries, such as the aorta. It is possible to measure this process by pulse wave velocity (PWV). Several studies have now documented that i
Background: Many critically ill patients report a change in their health-related quality of life after intensive care unit (ICU) discharge. Patients who experience delirium during their ICU stay are perceived as a fragile group of ICU survivors, and the ‘quality of life’ phenomenon needs to be studied among these patients. Aim: To explore everyday life experiences of critically ill patients with d
Data clustering is considered an important component of data mining which aims to split a given dataset into disjoint groups having the same similarities. The developed techniques for clustering have some challenges to cluster entities in complex search space and most of them aim to maximize the sum of inter-cluster distances and minimize the sum of intra-cluster distances. This objective function
Hazardous materials in buildings cause project uncertainty concerning schedule and cost estimation, and hinder material recovery in renovation and demolition. The study aims to identify patterns and extent of polychlorinated biphenyls (PCBs) and asbestos materials in the Swedish building stock to assess their potential presence in pre-demolition audits. Statistics and machine learning pipelines we
Background Major depressive disorder (MDD) is highly prevalent across Europe. While evidence-based treatments exist, many people with MDD have their condition undetected and/or untreated. This study aimed to assess the cost-effectiveness of reducing treatment gaps using a modeling approach. Methods A decision-tree model covering a 27-month time horizon was used. This followed a care pathway where
