Results 131 to 140 of about 163,423 (274)

Double-Convex Peroneal Tubercle Morphology and MRI-Detected Peroneal Tendon Abnormality in a Non-Lateral Referral Cohort

open access: yesDiagnostics
Background: The peroneal tubercle demonstrates substantial morphologic variability and may influence peroneal tendon mechanics. This study evaluated whether peroneal tubercle morphology and size are associated with MRI-detected peroneal tendon ...
Volkan Gür   +7 more
doaj   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

An Elegant Multi-Agent Gradient Descent for Effective Optimization in Neural Network Training and Beyond

open access: yesApplied Sciences
Non-convex optimization problems often challenge gradient-based algorithms, such as Gradient Descent. Neural network training, a prominent application of gradient-based methods, heavily relies on their computational efficiency. However, the cost function
Mohammad Sakka, Mohammad Reza Bahrami
doaj   +1 more source

Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes

open access: yesAdvanced Intelligent Systems, EarlyView.
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards   +2 more
wiley   +1 more source

Studying the Thermodynamic Phase Stability of Organic–Inorganic Hybrid Perovskites Using Machine Learning

open access: yesMolecules
As an important photovoltaic material, organic–inorganic hybrid perovskites have attracted much attention in the field of solar cells, but their instability is one of the main challenges limiting their commercial application.
Juan Wang   +3 more
doaj   +1 more source

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino   +9 more
wiley   +1 more source

Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang   +6 more
wiley   +1 more source

Food inflation pass‐through from agricultural imports in a small open economy

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley   +1 more source

Structural Results on the HMLasso

open access: yesAxioms
HMLasso (Lasso with High Missing Rate) is a useful technique for sparse regression when a high-dimensional design matrix contains a large number of missing data. To solve HMLasso, an appropriate positive semidefinite symmetric matrix must be obtained. In
Shin-ya Matsushita, Hiromu Sasaki
doaj   +1 more source

Cerebrospinal Fluid Amyloid‐β Biomarkers Predict Future Hemorrhage in Patients with Cerebral Amyloid Angiopathy

open access: yesAnnals of Neurology, EarlyView.
Objective Accurately predicting future hemorrhagic events in patients with cerebral amyloid angiopathy (CAA) remains a major clinical challenge. It is unknown whether cerebrospinal fluid (CSF) biomarkers of amyloid‐beta (Aβ) pathology are associated with increased hemorrhage risk in this population.
Philipp Arndt   +15 more
wiley   +1 more source

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