Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...

VMPLNew Delhi [India], August 5: Modern data architectures require highly optimized code. A raw Python script cannot process a ten-gigabyte dataset effectively. To solve this problem engineering teams ...

Urbanization, climate change, and fire suppression practices are contributing to increased wildfire risk at the densely populated wildland-urban interface. These factors make fires more unpredictable ...

Bipolar lead-acid batteries offer advantages over traditional valve-regulated lead-acid batteries including compact design, shorter current path, better active mass utilization, and higher power ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

Viscosity is an important physical property of crude oil, which has a direct effect on production efficiency, transport phenomena and field economics. Estimation of crude oil viscosity is a crucial ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

The increasing demand for cobalt (Co) and nickel (Ni) in energy storage and industrial applications highlights the need for their efficient separation from both primary mining and nonconventional ...

Abstract: The research introduces a methodology to predict the flexural behavior of a laminate before conducting any experimental tests. To derive such a model, an artificial intelligence (AI)-based ...