Results 101 to 110 of about 1,764,639 (264)

Circulating Omega‐3 Fatty Acids and Cardiometabolic Outcomes: A Systematic Review of Publications From UK Biobank

Lipids, EarlyView.
ABSTRACT Studies have shown that omega‐3 fatty acids may protect against cardiovascular diseases (CVDs) and related metabolic conditions. UK Biobank is a large cohort study that includes data on plasma omega‐3 fatty acids at study entry and health outcomes during the follow‐up period.
Warda Tul Firdous, Philip C. Calder
wiley   +1 more source

Bayesian Optimization of Grayscale Patterns for Layer‐Height Accuracy in Projection Multi‐Photon 3D Printing

Laser &Photonics Reviews, EarlyView.
Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley   +1 more source

Interleaved Diffractive Networks for Information Transfer Through Random Diffusers

Laser &Photonics Reviews, EarlyView.
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li, Yiyang Wu, Shiqi Chen, Xilin Yang, Aydogan Ozcan   +4 more
wiley   +1 more source

Estimation of the Gaussian blur parameter by comparing histograms of gradients with a standard image

Российский технологический журнал
Objectives. The aim of this study is to develop a method for automatic quantitative estimation of the Gaussian blur parameter in digital images, which typically arises due to defocus of the optical system, various optical and camerainduced aberrations ...
V. B. Fedorov, S. G. Kharlamov
doaj   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source

Self‐calibrated B1+ and B0 Field Inhomogeneities Estimation (SAFE) in 3D Magnetic Resonance Fingerprinting

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop SAFE, a self‐calibrated framework to estimate B1+ and B0 field inhomogeneities directly from conventional magnetic resonance fingerprinting (MRF) acquisitions and improve its quantification accuracy. Methods SAFE utilized a two‐step approach. First, two physics‐informed image markers are extracted from the MRF data to create
Mengze Gao, Xiaozhi Cao, Daniel Raz Abraham, Zihan Zhou, Nan Wang, Congyu Liao, Yang Yang, Hanlin Sun, Hongwei Li, Yan Bai, Yu Shen, Yaping Wu, Meiyun Wang, Kawin Setsompop   +13 more
wiley   +1 more source

Hunting motivations, behaviour and forest access: Characterising wildlife hunting practices in a multi‐ethnic, forested landscape of Brunei Darussalam, Southeast Asia

People and Nature, EarlyView.
Abstract Unsustainable hunting practices can alter population dynamics, driving biodiversity declines, which leads to ‘empty forests’. Understanding hunting behaviour, including motivations for hunting and relationships with market drivers, and access to hunting grounds are important to develop affirmative policies to stem biodiversity loss.
Natasha L. M. Mannion, Rachel Gaulton, Maria Erica Jamil, Marion Pfeifer, Johan Willem Ferry Slik, Stephen G. Willis, F. Merlin Franco   +6 more
wiley   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]

Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Robert D. Brooks, Maxwell L. King, Xibin Zhang   +2 more
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