A new mobile learning pod is traveling across North Texas on a mission to introduce high school students to STEM-related ...

Objective: To examine the focal areas of research in the early diagnosis of stroke through machine learning identification of magnetic resonance imaging ... This unique characteristic is likely to ...

In this study, the scientists used an artificial intelligence approach known as machine learning to evaluate ... had access to abundant floral resources and lots of sun, while the bees from ...

Water based recycling Researchers have developed a way to recycle perovskite solar cells, without requiring environmentally hazardous solvents. (Courtesy: Thor Balkhed) A research team headed up at ...

Magnetic Resources defines third gold shoot at LJN4 ... Development capex is estimated at $111.3m assuming a standalone 2.2Mtpa processing plant and three months pre-production activities while all-in ...

DOI: 10.1038/s41378-025-00881-y "Conventional flow cytometry is not practical for many resource ... learning algorithm used for image classification and object recognition—to only detect cells ...

This article was prepared to investigate the magnetic field sensitivity changes depending on the buffer gas, temperature, and laser intensity using indigenously produced atomic vapor cells.

The ELF-EMS experiments were conducted when the cells reached 2 DIV. Firstly, the analytical Equation 1 has been used to estimate the number of turns, intensity and length needed for the solenoid that ...

Supporting your professional learning as a teacher in Victoria. More resources to support your professional learning are available on the Department of Education and Training Victoria website. Refer ...

In this study, we sought to rapidly detect patterns of cardiotoxicity using high-content image analysis with deep learning and induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). We ...