Results 121 to 130 of about 460,933 (263)

Difference between low cadence-high resistance and high cadence low resistance in relation to muscle breakdown in cyclists [PDF]

open access: yes, 2015
Training at different cadences provides a different training stimulus (Brisswalter et al, 2000) which can be metabolic adaptations or skeletal muscle hypertrophy.
Stanley, Robert
core  

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

open access: yesAdvanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti   +14 more
wiley   +1 more source

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park   +4 more
wiley   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won   +3 more
wiley   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

open access: yesAdvanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann   +8 more
wiley   +1 more source

Identification of predictors for improvement in exercise capacity with special reference to quantifying training intervention [PDF]

open access: yes, 2017
Background – Several studies have shown the positive effect of cardiac rehabilitation (CR) for cardiac patients. The optimal training program is still under debate and results of different studies remain controversial.
Dysli, Michelle
core  

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

open access: yesAdvanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante   +17 more
wiley   +1 more source

Effects of high-intensity training on jumping performance among athletes: a systematic review with meta-analysis

open access: yesScientific Reports
This review aims to conduct a meta-analysis of the impact of high-intensity training (HIT) on athlete jumping performance. As of May 2024, we conducted a comprehensive search on PubMed, Web of Science, SCOPUS, and EBSCOhost databases in accordance with ...
Xinzhi Wang   +6 more
doaj   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim   +10 more
wiley   +1 more source

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