Results 131 to 140 of about 2,844,213 (242)
Aperiodic 1/f noise drives ripple activity in humans. [PDF]
van Schalkwijk FJ, Helfrich RF.
europepmc +1 more source
Hardy Inequality in Variable Exponent Lebesgue Spaces
We prove the Hardy inequality and a similar inequality for the dual Hardy operator for variable exponent Lebesgue ...
Diening, Lars, Samko, Stefan
core
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Peak alpha frequency and spectral exponent in postoperative delirium: a high-density EEG cohort study. [PDF]
Gjini K +5 more
europepmc +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
Magnetoencephalography-based prediction of longitudinal symptom progression in Parkinson's disease. [PDF]
Waldthaler J +2 more
europepmc +1 more source
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
Optimal body mass normalization of power output for accurate prediction of estimated cycling performance over complex time-trial courses. [PDF]
Horvath M, Andersson EP.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Lateralized excitation-inhibition rebalance correlates with motor recovery following hemispheric surgery. [PDF]
Yang Y +11 more
europepmc +1 more source

