Results 71 to 80 of about 1,309,182 (144)
Abstract Accurate quantification of transplanted cardiac spheroids requires three‐dimensional (3D) localisation within intact myocardium, yet this remains technically challenging. Optical clearing and light‐sheet microscopy enable volumetric imaging of injection sites, but automated segmentation is difficult when transplanted spheroids and host tissue ...
Ahmed Elnageh +6 more
wiley +1 more source
A novel fault diagnosis scheme was developed to address the difficulty of feature extraction for planetary gearboxes using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping. The RCMFDE was first utilized
Ligang Yao +5 more
core +1 more source
Dispersion Entropy-based Fuzzy Classification for Motor Imagery Electroencephalogram
Fuzzy logic-based systems are a widely used method for both classification and control. Electroencephalography sign is frequently used in some studies such as Brain-Computer Interfaces.
Balcı, Furkan
core +1 more source
Abstract figure legend Illustration of calcium spark function and ryanodine receptor (RyR) structure within a sedentary model of ageing. Upon sympathetic stimulation from 1 µM isoprenaline a linear response to calcium spark morphology occurred, accompanied by a biphasic progression of RyR remodelling across age.
Miriam E. Hurley +3 more
wiley +1 more source
This study develops a dynamic surface‐enhanced Raman scattering (D‐SERS) platform integrating multiscale nanoparticle geometry, quantum dot coupling, surface‐energy programming, and a multilayer perceptron model for AI‐assisted classification. It enables ultrahigh sensitivity, noninvasive detection, and specific Helicobacter pylori identification.
Ming‐Chang Lu +4 more
wiley +1 more source
ABSTRACT Accurate multi‐label classification of aerial forest imagery is a critical component of large‐scale forest monitoring, biodiversity assessment and climate‐related decision making. Unlike single‐label scenarios, natural forest scenes exhibit strong class co‐occurrence, severe class imbalance and spatially heterogeneous label relevance, which ...
Fazli Amin Khalil +3 more
wiley +1 more source
MXene‐based potassium‐ion battery anodes are mapped by linking synthesis, surface chemistry, heterostructure design, and practical evaluation. Pristine MXenes and composites with carbon, oxides, sulfides, selenides, tellurides, and alloying phases are compared, while intercalation, pseudocapacitive, conversion/alloying, built‐in‐field, and trapping ...
Haohao Ding +6 more
wiley +1 more source
This study presents YOLOv8‐ES + DeepSORT‐GE, a jointly optimized detection‐tracking framework integrating deformable feature modeling and geometry‐aware association, achieving 73.6% fewer identity switches and real‐time worker monitoring in power grid construction environments. ABSTRACT Continuous worker localization and identity‐consistent tracking at
Lingwen Meng +4 more
wiley +1 more source
SPARK‐ICA: Guided Frequency‐Resolved Dynamic Spatial ICA Reveals Fine‐Scale fMRI Network Dynamics
SPARK–ICA is a frequency‐resolved dynamic spatial ICA framework that decomposes time‐varying fMRI network maps into multiple spatial frequency bands. Applied to schizophrenia resting‐state data, it reveals complementary abnormalities in stable connectivity and rapid high‐frequency network interactions that are not captured by conventional dynamic ...
N. Behzadfar, A. Iraji, V. Calhoun
wiley +1 more source
Time-shift multiscale entropy analysis of physiological signals
Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for ...
Tuan D. Pham, Pham, Tuan,, Pham, Tuan
core +1 more source

