Results 61 to 70 of about 25,670 (189)

Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption

open access: yesAdvanced Science, EarlyView.
Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang   +9 more
wiley   +1 more source

Intratumoral Fusobacterium nucleatum Drives Cancer‐Associated Fibroblasts Enrichment and Immune Exclusion in Esophageal Squamous Cell Carcinoma

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Fusobacterium nucleatum contributes to the progression of ESCC by inducing NF‐κB–mediated inflammatory signaling in tumor cells and promoting CAFs activation. Its presence may facilitate immune exclusion and tumor invasion through stromal remodeling. Furthermore, F.
Takashi Ofuchi   +9 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Unlocking fruit dimensions: Quantification of functional traits driving plant–frugivore interactions

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Fleshy fruits attract animals to ingest fruit, swallow the seeds, and release them in the landscape, thus facilitating seed dispersal and plant regeneration. Attraction of animal dispersers is achieved via attractants such as color or scent, and rewards like sugars, lipids, and micronutrients.
Linh M. N. Nguyen   +4 more
wiley   +1 more source

Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm

open access: yesPhotonic Sensors, 2019
Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the maximum posteriori estimation,
Chan Huang   +5 more
doaj   +1 more source

Comparison of multichannel signal deconvolution algorithms in airborne LiDAR bathymetry based on wavelet transform

open access: yesScientific Reports, 2021
Airborne LiDAR bathymetry offers low cost and high mobility, making it an ideal option for shallow-water measurements. However, due to differences in the measurement environment and the laser emission channel, the received waveform is difficult to ...
Yue Song   +5 more
doaj   +1 more source

Understanding Kernel Size in Blind Deconvolution

open access: yes, 2019
Most blind deconvolution methods usually pre-define a large kernel size to guarantee the support domain. Blur kernel estimation error is likely to be introduced, yielding severe artifacts in deblurring results.
Ren, Dongwei, Si-Yao, Li, Yin, Qian
core   +1 more source

Genome‐Wide DNA Methylation Study Reveals Specific Signatures in the Affected Arterial Tissue of Patients With Giant Cell Arteritis

open access: yesArthritis &Rheumatology, EarlyView.
Objective Giant cell arteritis (GCA) is a large‐vessel vasculitis, potentially causing complications such as blindness and strokes. This study aims to gain insights into the pathogenesis of GCA by identifying specific DNA methylation signatures in the arterial tissue of patients with this vasculitis. Methods DNA methylation profiling was analyzed in 79
Gonzalo Borrego‐Yaniz   +18 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

open access: yesFlavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin   +3 more
wiley   +1 more source

Robust Multi-Frame Adaptive Optics Image Restoration Algorithm Using Maximum Likelihood Estimation with Poisson Statistics

open access: yesSensors, 2017
An adaptive optics (AO) system provides real-time compensation for atmospheric turbulence. However, an AO image is usually of poor contrast because of the nature of the imaging process, meaning that the image contains information coming from both out-of ...
Dongming Li   +5 more
doaj   +1 more source

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