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High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
An app developed by Cornell researchers uses augmented reality to help users repeatedly capture images from the same location with a phone or tablet to make time-lapse videos – without leaving a camer...
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Humans are pretty good at looking at a single two-dimensional image and understanding the full three-dimensional scene that it captures. Artificial intelligence agents are not.
When you take a time-release drug, you count on it doing what the package says: release the drug slowly into your bloodstream to provide benefits over the specified period of time. When the drug disso...
A modeling study by Massachusetts General Hospital (MGH) investigators finds that the availability of directly-acting antiviral (DAA) drugs to treat hepatitis C virus (HCV) infection could allow the t...
2018年SPIE实时光谱成像与诊断会议(SPIE Optical Biopsy XVI:Toward Real-Time Spectroscopic Imaging and Diagnosis)。
A WSU research team for the first time has developed a computer algorithm that is nearly as accurate as people are at mapping brain neural networks — a breakthrough that could speed up the image analy...
In order to most effectively use models at runtime, self-aware computing systems need increasingly powerful ways of observing their operational environment and their own performance and behavior and t...
Interventions targeting sedentary time are needed. We used detailed EMG recordings to study the short-term effectiveness of simple sedentary time-targeted tailored counseling on the total physical act...
Detection of moving objects in video sequence received from moving video sensor is a one of the most important problem in computer vision. The main purpose of this work is developing set of algorithms...
Which came first, overall bigger brains or larger brain regions that control specialized behaviors? Neuroscientists have debated this question for decades, but a new Cornell study settles the score.Th...
Introduction Determining locations of physical activity (PA) is important for surveillance and intervention development, yet recommendations for using location recording tools like global positioning ...
Purpose This study aimed to investigate associations of objectively measured physical activity (PA) and sedentary time with adiposity in a predominantly biethnic (South Asian and White British) sample...

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