Results 131 to 140 of about 844,515 (334)
Advanced Functional Materials, EarlyView.This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri +6 more
wiley +1 more source
Heart Sound Segmentation Using Deep Learning Techniques [PDF]
arXivHeart disease remains a leading cause of mortality worldwide. Auscultation, the process of listening to heart sounds, can be enhanced through computer-aided analysis using Phonocardiogram (PCG) signals. This paper presents a novel approach for heart sound segmentation and classification into S1 (LUB) and S2 (DUB) sounds.
arxiv
Heart Disease Prediction System using Associative Classification and Genetic Algorithm [PDF]
Vol no1 pp 183-192, Elsevier Dec 2012, 2013 Associative classification is a recent and rewarding technique which integrates association rule mining and classification to a model for prediction and achieves maximum accuracy. Associative classifiers are especially fit to applications where maximum accuracy is desired to a model for prediction.
arxiv
Advanced training model for beating heart coronary artery surgery: the Zurich heart-trainer [PDF]
, 2017 Objective: Coronary artery surgery with beating heart technique is gaining increasing popularity. However, it is a challenging technique even for well-trained cardiac surgeons.
Groscurth, P. +5 more
core
Advanced Functional Materials, EarlyView.The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour +11 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
On Deep Neural Networks for Detecting Heart Disease [PDF]
arXiv, 2018 Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as "at risk." Thus, there is an urgent need to improve the accuracy of heart disease diagnosis.
arxiv
Advanced Functional Materials, EarlyView.Internally catalyzed siloxane dynamic chemistry is demonstrated resulting from amides covalently linked through alkyl chains to siloxanes. The alkyl length in the siloxane‐containing monomer tunes the network cross‐link density. Siloxane exchange dynamics are faster with increasing cross‐link density, because associative exchange is second order in ...
Nathan S. Purwanto +5 more
wiley +1 more source
Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data [PDF]
arXivCardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, and hypertension. In cardiovascular diseases, heart failure is one of the main causes of death and also long-term suffering in patients worldwide. Prediction is one of the risk
arxiv
Advanced Healthcare Materials, EarlyView.A kirigami‐inspired breathable smart contact lens is reported for wireless monitoring of corneal hypoxia and microenvironment. The ultrathin (55 µm) and flexible sensing device enables digitalized, in situ and precise monitoring of dissolved oxygen, humidity, and temperature (R2 >0.98).
Jiaxue Zhu +11 more
wiley +1 more source