Results 171 to 180 of about 116,333,106 (286)

Antioxidant supplementation blunts the proteome response to 3 weeks of sprint interval training preferentially in human type 2 muscle fibres

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Sprint interval training (SIT) is a popular time‐efficient type of endurance training. Healthy young men performed nine SIT sessions (4–6 × 30 s all‐out cycling sprints) over 3 weeks while being supplemented with antioxidants (high doses of vitamins C and E) or placebo. Muscle biopsies taken before and after the first SIT session
Victoria L. Wyckelsma   +12 more
wiley   +1 more source

Scaling temporal resolution from mice to humans: Challenges and innovations in preclinical imaging of translational models

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Temporal scaling physiology differs significantly between mice and humans. Mice have higher metabolism, heart and respiratory rate, as well as faster blood flow rates, brain activity and physiological dynamics over time. These differences influence the temporal resolution needed in preclinical imaging of mouse models to ...
Sara Gargiulo, Matteo Gramanzini
wiley   +1 more source

Combining Voiceprint Feature Extraction With Deep Learning Based Classifiers for Early Chronic Obstructive Pulmonary Disease Screening

open access: yesVector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
Graphic Abstract (GA) presents an overview of the CNN‐based classification process, which consists of several convolutional layers, several pooling layers, and a classification layer. Multilayer CNNs are capable of automatic feature enhancement, denoising, feature extraction, and pattern recognition tasks, and they have been applied in automatic ...
Pi‐Yun Chen   +6 more
wiley   +1 more source

On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence

open access: yesAdvanced Computing, Volume 1, Issue 1, December 2026.
Memristor crossbar arrays implemented on chip combines memory, computation, and learning. They allow for adapting the neural weights using the incoming sensor data. This architecture reduces data movement leading to low‐latency, energy‐efficient intelligence in edge while being reliability‐aware co‐design across devices, circuits, and algorithms that ...
Alex James
wiley   +1 more source

A Zynq-Based Triaxial Vibration Sensing Station with GPS-Disciplined Timing. [PDF]

open access: yesSensors (Basel)
Zhang X   +6 more
europepmc   +1 more source

Noise and Drift Models for Protonic ECRAM and Their Impact on Analog In‐Memory Computing

open access: yesAdvanced Computing, Volume 1, Issue 1, December 2026.
Read noise and conductance drift of protonic electrochemical random‐access memory (ECRAM) are characterized and described using physics‐informed device models. These models connect proton transport and measured current fluctuations to analog in‐memory computing (AIMC) performance.
Xin Su, Haoran Liu, Qing Cao, Ning Li
wiley   +1 more source

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