Results 101 to 110 of about 225,629 (280)

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim   +10 more
wiley   +1 more source

Nanodiamond‐Based Quantum Sensing Reveals Changes in Endo‐Lysosomal Activity of Stimulated Cardiac Fibroblasts in a Cellular Fibrosis Model

open access: yesAdvanced Functional Materials, EarlyView.
Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk   +3 more
wiley   +1 more source

Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges

open access: yesAdvanced Functional Materials, EarlyView.
Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley   +1 more source

Sysmon event logs for machine learning-based malware detection

open access: yesCyber Security and Applications
Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods.
Riki Mi’roj Achmad   +3 more
doaj   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

open access: yesAdvanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun   +7 more
wiley   +1 more source

Optimasi Algoritma K-Nearest Neighbors Berdasarkan Perbandingan Analisis Outlier (Berbasis Jarak, Kepadatan, LOF)

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi
Pertumbuhan data yang terjadi saat ini berpengaruh terhadap analisis data di berbagai bidang, seperti astronomi, bisnis, kedokteran, pendidikan, dan finansial.
Fitri Ayuning Tyas   +2 more
doaj   +1 more source

Prenucleation Species Dictate Foreign Ion Incorporation in the Biomineral Precursor Amorphous Calcium Carbonate

open access: yesAdvanced Functional Materials, EarlyView.
ACC forms via aggregating prenucleation clusters that gatekeep its chemical composition. Ion identity steers the path: Ba and Sr substitute Ca in clusters, thereby inhibiting nucleation, with a dose‐dependent switch of Sr to induction. Mg partitions into Mg‐rich and Mg‐poor clusters; the latter form ACC, expelling Mg.
Qianyu Zhao   +9 more
wiley   +1 more source

Microfluidic Platform for Multiparametric Profiling of Fibrin Permeability, Fibrinolysis, and Cell Invasion

open access: yesAdvanced Functional Materials, EarlyView.
This paper introduces a single‐channel H‐junction microfluidic assay that profiles fibrin's evolving function in repair and thrombosis by measuring, in one ∼3 µL gel, permeability, fibrinolysis kinetics, fibroblast invasion, and clot extension in real time.
Halston Deal   +9 more
wiley   +1 more source

Anomaly detection using unsupervised machine learning algorithms: A simulation study

open access: yesScientific African
This study presents a comprehensive evaluation of five prominent unsupervised machine learning anomaly detection algorithms: One-Class Support Vector Machine (One-Class SVM), One-Class SVM with Stochastic Gradient Descent (SGD), Isolation Forest (iForest)
Edmund Fosu Agyemang
doaj   +1 more source

Adaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes

open access: yesAdvanced Functional Materials, EarlyView.
The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...
Natascha Gray   +3 more
wiley   +1 more source

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