Results 141 to 150 of about 33,125 (301)

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

Application of Artificial Intelligence in Support of NAFLD Diagnosis

open access: yesApplied Sciences
A comprehensive system for automated medical data analysis and diagnosis of non-alcoholic fatty liver disease using artificial intelligence has been developed.
Jakub Płudowski, Jan Mulawka
doaj   +1 more source

Sustainable Electrochemical Synthesis of High‐Quality MXenes: Mechanistic Insights, Applications, Challenges, and Technological Prospects

open access: yesAdvanced Functional Materials, EarlyView.
Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh   +4 more
wiley   +1 more source

Explainable Artificial Intelligence models and methods in Finance and Healthcare

open access: yes, 2022
In the last years, the fast and growing data availability has allowed providing highly predictive responses for the advanced research fields. Sophisticated machine learning models and techniques were then developed together with artificial intelligence ...
Caffo, Brian   +3 more
core  

Neutrophil‐Mimetic MRI Enables Ultra‐Early Detection of Vascular Inflammation After Stroke

open access: yesAdvanced Healthcare Materials, EarlyView.
In this study, we developed neutrophil‐mimetic MRI probes that detect ultra‐early neuroinflammation following ischemic stroke by targeting E‐selectin. Within seconds of their injection, these microparticles mimic initial leukocyte adhesion to the activated cerebral endothelium.
Marion Isabelle Morvan   +17 more
wiley   +1 more source

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

open access: yesAdvanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha   +9 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

An eXplainable Artificial Intelligence framework to predict marine scrubbers performances

open access: yes
This study presents an eXplainable Artificial Intelligence (XAI) framework to predict the performance of marine scrubbers used for sulfur dioxide (SO2) removal from marine diesel engine flue gases.
Di Bonito, Luigi Piero   +3 more
core   +1 more source

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