Results 121 to 130 of about 20,128 (303)
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Low dropout regulators are one of the most important factures of many portable devices. Thus, consider to the complexity of the circuits and increasing request for portable devices, for increasing battery life and minimizing supply noise, regulators with
Najmeh Khanian, Abbas Golmakani
doaj
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source
This work presents a small-area 2nd-order continuous-time $\Delta \Sigma $ Modulator (CT $\Delta \Sigma \text{M}$ ) with a single low dropout regulator (LDO) serving as both the power supply for the CT $\Delta \Sigma \text{M}$ and reference voltage ...
Manish Srivastava +6 more
doaj +1 more source
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger +8 more
wiley +1 more source
Saturn S-IB stage Final static test report, stage S-IB-4 [PDF]
Acceptance static test firing data for Saturn flight stage S-IB-
Adams, D., III, Cox, R. D., Wible, J. V.
core +1 more source
Disease Progression in Multiple System Atrophy: The ASPIRE Multi‐Modal Biomarker Study
Objective The objective of this study was to characterize changes in candidate biomarkers in early multiple system atrophy (MSA) and identify baseline predictors of faster progression. Methods This 1‐year, multicenter, prospective study assessed clinical, neuroimaging (3T‐magnetic resonance imaging [MRI], dopamine transporter single‐photon emission ...
Margherita Fabbri +26 more
wiley +1 more source
Back Again to the Future: A New Era for Cerebroprotection
Cerebroprotection is a fresh framework for designing neurological therapy that targets glia and vascular cells, in addition to neurons. In the future, successful cerebroprotection will involve targeting all elements of the neurovascular unit. Preclinical trials must include functional outcomes, as well as lesion morphometry.
Patrick Lyden
wiley +1 more source
Abstract Aims Paroxetine is a selective serotonin reuptake inhibitor (SSRI), approved for treatment of major depressive disorder and anxiety disorders. Some SSRIs are known to prolong the QT interval; however, clinical evidence to establish a lack of association between paroxetine and corrected QT interval (QTc) prolongation is limited. Therefore, this
Sven C. van Dijkman +6 more
wiley +1 more source
Data-Driven Modeling of Weakly Nonlinear Circuits via Generalized Transfer Function Approximation
This paper presents an extension of the Vector Fitting algorithm with the purpose of constructing compact behavioral models of weakly nonlinear circuits starting from frequency-domain input-output data.
Antonio Carlucci +2 more
doaj +1 more source

