Sign prediction problem aims to predict the signs of links for signed networks.Currently it has been widely used in a variety of applications.Due to the insufficiency of labeled data, transfer learning has been adopted to leverage the auxiliary data to improve the prediction of signs in target domain.Existing works suffer from two limitations.First
The increased use of molecular tools for species identification in recent decades revealed that each of many apparently generalist parasitoids are actually a complex of morphologically similar congeners, most of which have a rather narrow host range.Ooencyrtus pityocampae (OP), an important egg parasitoid of the pine processionary moth (PPM), is co
Abstract The human inner ear has an intricate spiral shape often compared to shells of mollusks, particularly to the nautilus shell.It has inspired many functional hearing theories.The reasons for this complex geometry remain unresolved.We digitized 138 human cochleae at microscopic resolution and observed an astonishing interindividual variability
Artificial intelligence is a discipline of computer science Notebook that gives machines intelligence that resembles that of humans and empowers them to acquire knowledge, evaluate, and handle issues when exposed to information in different formats.AI is now useful as a powerful tool to help researchers collect, deal with, and analyze large sets of
Waste generated from HIV viral load (VL) testing contains potentially hazardous guanidinium thiocyanate (GTC).GTC is toxic to humans and can pollute waters and harm aquatic life if not disposed Front Left Cover of appropriately.We assessed gaps in waste management (WM) policies, regulations and practices through a self-assessment scorecard and an o