Insects possess a remarkable ability to develop innate immune memory, and the mechanisms underlying this process are becoming a central topic in innate immunity research.

New evidence from White Sands National Park, the location of the oldest evidence of humans in the Americas, sheds light on ...

Xiaolin Guo, a MSc student in Global Mental Health at the University of Glasgow, and Nina Higson-Sweeney summarise a recent ...

The traditional hypothesis-driven approach relies on selecting genes on the basis of their putative role in disease pathogenesis, often derived from studies in animal models.

The team analyzed recordings from audio recorders placed at 43 locations in the Western Ghats mountain range in southern India, which is known as a biodiversity hotspot. They examined sounds of what ...

Honda R&D, the research and development arm of Honda Motor, has successfully conducted its first launch and landing test of an experimental reusable rocket, marking the company's entry into the ...

Out of these 52 participants, eight scored positively on a multi-cancer early detection (MCED) lab test and were diagnosed with cancer within four months following blood collection. MCED tests are an ...

Even if you’d personally see clowns in your own eternal damnation, Aw, Hell—Portland Experimental Theatre Ensemble’s upcoming modernized take on Inferno, the first part of Dante’s epic ...

This paper describes seminal work for using tools from fractional calculus on modelling geometry and dynamical nonlinear effects in a mimicked lung tumour setup. A device and methodology are tailored ...

Multiple hypothesis tracking (MHT) is generally accepted as the preferred method for solving the data association problem in modern multiple target tracking (MTT) systems. This paper summarizes the ...

Abstract The aim of this study was to evaluate physicochemical properties and bioactive potential of Sealer Plus, in comparison with MTA Fillapex, Sealapex and AH Plus. Setting time, flow, and ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...