Results 71 to 80 of about 3,640,313 (369)

Detection of Compressed Pulse Signals by Processing Energy Distribution Ratio [PDF]

Japanese Journal of Applied Physics, 1992
A compressed pulse signal obtained when a linear FM signal has gone through a matched filter has a typical waveform of a sampling function. This means that energy of a compressed pulse signal is concentrated near its center peak as is the case with the sampling function.
Toyoki Sasakura, Genta Shinohara
openaire   +2 more sources

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Increased colonic propionate reduces anticipatory reward responses in the human striatum to high-energy foods [PDF]

, 2016
Background: Short-chain fatty acids (SCFAs), metabolites produced through the microbial fermentation of nondigestible dietary components, have key roles in energy homeostasis.
Alhabeeb, Habeeb, Busza, Albert, Byrne, Claire S., Chambers, Edward S., Chhina, Navpreet, Fitzpatrick, Julie, Fountana, Sofia, Frost, Gary S., Garcia-Perez, Isabel, Goldstone, Anthony P., Holmes, Elaine, Irani, Cherag, Morrison, Douglas J., Preston, Tom, Tedford, Catriona   +14 more
core   +1 more source

Predicting weather-related power outages in large scale distribution grids with deep learning ensembles

International Journal of Electrical Power & Energy Systems
Weather events are primarily contributors to electrical supply disruptions, prompting the need to accurately forecast these weather-related power outages.
L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz   +4 more
doaj   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Target magnetic moment orientation estimation method based on full magnetic gradient orthonormal basis function

AIP Advances, 2022
Magnetic anomaly detection (MAD) is an effective method to detect the existence and localization of magnetic targets. Magnetic signal processing technology can extract target signals from complex background noise.
Yijie Qin, Maobin Li, Keyan Li, Yang Pan, Xiaofei Yang, Jun Ouyang   +5 more
doaj   +1 more source

Design of X-ray energy detector

Energy Reports, 2022
Energy is an essential key element in the process of human survival and development. With the development and progress of science and technology, human beings pushed the age to the industrial period by discovering and exploiting coal. And then, all kinds
Fan Zeng, Zhiyuan Zhu
doaj   +1 more source

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches

Advances in Mechanical Engineering, 2019
This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric accuracy is one of the most crucial measures of part quality.
Sofien Akrichi, Amira Abbassi, Sabeur Abid, Noureddine Ben yahia   +3 more
doaj   +1 more source

Mine-Microseismic-Signal Recognition Based on LMD–PNN Method

Applied Sciences, 2022
The effective recognition of microseismic signal is related to the accuracy of mine-dynamic-disaster precursor-information processing, which is a difficult method of microseismic-data processing.
Qiang Li, Yingchun Li, Qingyuan He
doaj   +1 more source