Results 191 to 200 of about 420,031 (315)

Haemodynamic Performance of Transcatheter Heart Valve in Bileaflet Mechanical Valve: An In-vitro Study. [PDF]

Interdiscip Cardiovasc Thorac Surg
Catalano C, Pasta S, Potratz P, Buffle E, Siepe M, Obrist D.   +5 more
europepmc   +1 more source

Magneto‐X Effects in Magnetic Soft Materials and Their Applications

Advanced Science, EarlyView.
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang, Xiangling Xia, Benjamin Ducharne, Yujie Ye, Jie Shang, Run‐Wei Li   +5 more
wiley   +1 more source

Left Main Coronary Artery Obstruction After Transcatheter Heart Valve Implantation for Aortic Regurgitation. [PDF]

JACC Case Rep
Frisoli TM, Hamade H, Sukhon F, Lee J, Dawdy J, Alter J, Jabri A, Alqarqaz M.   +7 more
europepmc   +1 more source

Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases

Advanced Science, EarlyView.
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao, Victor Fernandez‐Gonzalez, Xiaochuan Wang, Blake Pylipow, Claudia Herrera, Xiaohu Xia   +5 more
wiley   +1 more source

Transcatheter Heart Valve Postprocedural Care: Improving the Cardiac Rehabilitation Referral Process Before Discharge. [PDF]

JACC Case Rep
Wilder EH, Dellise NR, Dhaliwal G, Tilson N, Santana A, Yeargin A, Walia SK, Rhodes T, Huang PH, Roberts DK.   +9 more
europepmc   +1 more source

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

Advanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira, Md Mahbubur Rahman, Karib Hassan Khan, Md Nizam Uddin, Dewan Hafiz Nabil   +4 more
wiley   +1 more source

Rebuilding life after heart valve surgery: The VALCAR(E)_QoL study on rehabilitation and quality of life. [PDF]

MethodsX
Liuzzi P, Magi CE, Iovino P, Vellone E, Mannini A, Macchi C, Nicolosi B, Figura M, Limonti F, Frangi D, Dollaku H.   +10 more
europepmc   +1 more source

Scalable Liquid‐Phase Exfoliation of h‐BN for Solar‐Reflective and Thermally Stable Polymer Aerogels

Advanced Energy and Sustainability Research, EarlyView.
High‐pressure homogenization exfoliates hexagonal boron nitride (h‐BN) into stable nanosheets, which are incorporated into PVA, CMC, and HEC matrices to form lightweight composite aerogels. Tuning h‐BN loading (0–50 wt%) transforms the structure from porous to densely packed, tailoring optical, thermal, and mechanical properties. An optimized PVA/20 wt%
Mouza Alaryani, Abdullah Solayman, Abdallah Kamal, Kin Liao, Jang‐Kyo Kim, Yahya Zweiri, Yarjan Abdul Samad   +6 more
wiley   +1 more source

Necessity of dental restoration before heart valve replacement: a cross-sectional study of a historical cohort. [PDF]

Clin Oral Investig
Ritschl LM, Bernlochner I, Keßler A, Wolff KD, Deppe H.   +4 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source