Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

A joint study has evaluated the usability of a compact EEG device (BrainStatus) developed by Bittium Biosignals from Oulu ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

Mouse models are central to drug development, including treatments for neurological disorders, such as Parkinson's disease.

Introduction Objective and accurate dietary monitoring is critical for comprehensive dietary assessment and improving ...

In 2013, the development of technology that can record and "replay" dreams "like a movie" made headlines in publications such ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

Objectives The optimal method of identifying people with asthma from electronic health records in primary care is not known. The aim of this study is to determine the positive predictive value (PPV) ...

Accurate state-of-health (SOH) diagnosis and remaining useful life (RUL) prediction of lithium-ion batteries (LIBs) play an extremely important role in ensuring safe and reliable operation of electric ...

Testing confirmed its saturated power level at +9.1 dBm and achieved a 280 Gbps data rate (35 GBaud 256QAM) at 0 dBm power output — the highest data rate reported to date in the 300 GHz band.

Sensor data classification, a typical Time Series Classification (TSC) problem, spans many applications of sensors in the real world. How to improve classification performance is a challenging problem ...

A similarity evaluation method based on Euclidean distance is designed for the quantized RIICP, which can accurately calculate the similarity of this dimensional feature. Finally, this paper utilizes ...