Results 121 to 130 of about 1,434,890 (281)

Antisolar Differential Rotation May Have Revived Magnetic Braking in the Subgiant 31 Aquilae

open access: yesThe Astronomical Journal
Recent observations have shown that sufficiently slow rotation disrupts the organization of large-scale magnetic field in older main-sequence stars, leading to weakened magnetic braking (WMB) and a collapse in the efficiency of the global stellar dynamo.
Travis S. Metcalfe   +18 more
doaj   +1 more source

Inhibition of MEKK3 Prevents Cerebral Cavernous Malformation Progression Via Restoring Endothelial Integrity and Restricting Microglial Activation

open access: yesAdvanced Science, EarlyView.
In this study, we demonstrate that aberrant MEKK3 signaling in endothelial cells and microglia drives the progression of cerebral cavernous malformations (CCMs). Furthermore, we identify DPDH as a potent small‐molecule MEKK3 inhibitor with substantial therapeutic potential for CCM treatment.
Weiwei Zheng   +17 more
wiley   +1 more source

Light‐Gated Control of Brownian Rotation by a Molecular Motor

open access: yesAngewandte Chemie, EarlyView.
A light‐driven molecular motor acts as a reversible steric gate for a nearby Brownian rotor. Photoisomerization switches the rotor between fast and hindered rotational regimes by modulating steric congestion around the rotational axis. The motor–rotor architecture enables a five‐order‐of‐magnitude difference in the rotational barrier, demonstrating ...
Lukáš Severa   +7 more
wiley   +2 more sources

ANALYSIS AND CONTROL STRATEGY DEVELOPMENT OF AN ELECTRIC VEHICLE REGENERATIVE BRAKING SYSTEM

open access: yes
This thesis investigates the development of a temperature-dependent regenerative braking system for electric vehicles, describing the implementation of fuzzy logic control to allocate braking force between regenerative and conventional braking techniques.
Stocco Richter, Camila
core   +1 more source

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

open access: yesAdvanced Science, EarlyView.
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta   +6 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

open access: yesAdvanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon   +3 more
wiley   +1 more source

An Investigation into the Influence of the Contact Pressure Distribution at the Friction Pair Interface on Disc Brake Squeal [PDF]

open access: yes
The main purpose of this thesis is to investigate the dynamic centre of pressure during a noisy brake application. A novel technique is employed to measure the centre of pressure and contact pressure distribution between the disc/pad interfaces during ...
Ashraf, Naveed
core   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

open access: yesAdvanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez   +3 more
wiley   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja   +2 more
wiley   +1 more source

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