Results 181 to 190 of about 447,860 (319)

Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications

open access: yesEngineering Reports, Volume 7, Issue 7, July 2025.
Drilling tools are of paramount importance for mechanical metal cutting. Breakage or wear in the drilling tool can result in catastrophic failure, reduced dimensional accuracy, and poor surface finish. Therefore, it is imperative to continuously monitor drilling tools. In addition, it has been demonstrated that the mechanical metal‐cutting industry can
Chandan M. N   +5 more
wiley   +1 more source

Reduced Vestibular Function is Associated With Cortical Surface Shape Changes in the Frontal Cortex

open access: yesHuman Brain Mapping, Volume 46, Issue 10, July 2025.
We identified significant cortical surface shape changes in focal areas of the prefrontal cortex that correlate with age‐related vestibular dysfunction in 117 older adults from the Baltimore Longitudinal Study of Aging. These findings provide important insights into mechanisms linking vestibular decline, cognitive impairment, and fall risk in aging ...
Dominic Padova   +3 more
wiley   +1 more source

Physiological Confounds in BOLD‐fMRI and Their Correction

open access: yesNMR in Biomedicine, Volume 38, Issue 7, Page 1-27, July 2025.
This graphical abstract depicts physiological confounds in BOLD‐fMRI from respiratory and cardiac sources, categorized by frequency, and highlights their effects on brain regions through various mechanisms. The figure contrasts model‐based correction methods with data‐driven techniques, outlining the strengths and limitations of each approach in ...
Abdoljalil Addeh   +4 more
wiley   +1 more source

Designing Majorana Quasiparticles in InAsP Quantum Dots in InP Nanowires with Variational Quantum Eigenvalue Solver

open access: yesphysica status solidi (b), Volume 262, Issue 7, July 2025.
This work explores the design of Majorana zero modes in InAsP quatum dots within InP nanowires coupled to a p‐type superconductor. Using atomistic calculations, exact diagonalization, and the variational quantum eigensolver (VQE) method, a variational ansatz for capturing ground state in the topological phase is introduced.
Mahan Mohseni   +7 more
wiley   +1 more source

What can we Learn from Quantum Convolutional Neural Networks?

open access: yesAdvanced Quantum Technologies, Volume 8, Issue 7, July 2025.
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano   +3 more
wiley   +1 more source

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