Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories

Physics, Electromagnetism, Optics, Engineering, Electrical Engineering, Information Science, Electronic Information, Semiconductors and Information Devices,
hyperspectral   optical frequency combs   in-memory computing   optical computing   matrix multiplication  

Hyperspectral In-Memory Computing and Applications of Optical Frequency Comb and Programmable Optical Memory Introduction In recent years, breakthroughs in machine learning have driven revolutionary developments in various industries, including healthcare, finance, retail, automotive, and manufacturing. These transformations have led to a surge in ...

Cell Type Mapping of Inflammatory Muscle Diseases Highlights Selective Myofiber Vulnerability in Inclusion Body Myositis

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
Inflammatory Myofibers   Inclusion Body Myositis   Single-Nucleus RNA Sequencing   Spatial Transcriptomics   Myopathy   Cell Type   Gene Expression  

Characterization of Heterogeneity in Muscle Fiber Types and Selective Susceptibility in Inclusion Body Myositis With advancing age, the incidence of inflammatory myopathies gradually increases, among which inclusion body myositis (IBM) is the most common type, currently lacking effective treatment methods. Unlike other inflammatory myopathies, IBM ...

k-emophone: a mobile and wearable dataset with in-situ emotion, stress, and attention labels

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence, Medicine, Psychiatry, Clinical Psychology,
emotion   stress   attention   mobile data   wearable sensors   affective states   multimodal dataset  

Scientific Data Report | K-emophone: A Mobile and Wearable Dataset with On-site Emotion, Stress, and Attention Labels Background With the proliferation of low-cost mobile and wearable sensors, numerous studies have leveraged these devices to track and analyze human mental health, productivity, and behavioral patterns. However, despite the developme...

Deep-Learning-Based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging

Information Science, Electronic Information, Automation, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
deep learning   motor imagery EEG   cortical source imaging   brain functional connectivity   spatiotemporal features   graph convolutional network  

Deep-learning-based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging Research Background and Motivation A brain-computer interface (BCI) is a system that directly decodes and outputs brain activity information without relying on related neural pathways and muscles, thereby achieving communication...

An EEG Study on Artistic and Engineering Mindsets in Students in Creative Processes

Information Science, Electronic Information, Artificial Intelligence, Medicine, Neurology, Clinical Psychology, Life Sciences, Biophysics,
artistic mindset   engineering mindset   creativity   EEG   students   creative process  

A Study on EEG Activities in Artistic and Engineering Thinking during the Creative Process Background and Research Motivation Creativity is universally regarded as the ability to imagine new and valuable things. Researchers have identified two types of creative thinking: growth mindset and fixed mindset. Growth mindset creativity can improve skills...