SCILIGHT
New machine-learning approach improves ability to predict long-term brain activity based on fMRI data
Model reduces the “curse of dimensionality” inherent in many brain-related machine learning models.
Biking in a wind tunnel: what an (aerodynamic) drag
Wind tunnel measurements complemented by numerical simulations can help improve cyclist posture and develop technology capable of reducing drag for competitive cyclists.
Transforming rice husks into fuel
Exergoeconomic evaluations can optimize the energy efficiency of pyrolysis processes while minimizing economic costs.
Study yields insight into infant ability to identify voices – and exposes research gaps
Babies appear less adept at distinguishing voices of unfamiliar men than those of unfamiliar women.
Fish school “fast-starts” benefit the back of the class
Downstream delays drive dynamic rotational velocity for group followers
Portable maser realized through miniaturization tech, room-temperature gain material
The device, weighing just a few kilograms, can produce coherent microwave light and could be applied in medical and communications fields.
Navigating the free energy landscapes of COVID variants
Values that characterize the binding between virus and host may be able to predict transmission rates and inform the treatment of SARS-CoV-2 variants.
Taking inspiration from dolphins to develop drag-reducing surface structures
Understanding the effects of transverse ridges can lead to more efficient ships and underwater turbines.
Metamaterials offer promising new functionalities for orthopedic implants
Unique properties exhibited by composite materials could lead to stronger, cheaper, more customizable implants.
