Results 171 to 180 of about 191,656 (292)

Fundamental frequency estimation based on instantaneous frequency amplitude spectrum

open access: yesFundamental frequency estimation based on instantaneous frequency amplitude spectrum
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Tracking of [14C]Polystyrene Nanoplastics in Pregnant Mice

open access: yesAdvanced Science, EarlyView.
This study investigates [14C]polystyrene nanoplastic ([14C]PS) translocation in late‐stage pregnant mice after intranasal (0.5 mg of [14C]PS on GD12, GD14, and GD16, n = 6) and intravenous administration (1.5 mg of [14C]PS on GD16, n = 6). 14C‐radiolabel allows quantitative tracking of unmodified polystyrene nanoplastics.
Olga Khaybullina   +2 more
wiley   +1 more source

Systolic blood pressure estimation method using electrocardiogram RRI data. [PDF]

open access: yesSci Rep
Fujita E   +13 more
europepmc   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

open access: yesAdvanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

open access: yesAdvanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li   +8 more
wiley   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

open access: yesAdvanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy