Results 191 to 200 of about 190,858 (265)

Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model. [PDF]

J Stat Theory Appl
Deng D, Zhang X.
europepmc   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Developing Clinical Decision (Support) Systems Combining the Scientific and Regulatory Perspective: European Insights on Challenges, Requirements, and Practical Guidance. [PDF]

JMIR Med Inform
Vrijlandt SEW, Janssen SWCM, van Rossum AMC, Achten NB, Oostenbrink R.   +4 more
europepmc   +1 more source

A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials

Advanced Materials Interfaces, EarlyView.
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav, Shakti S. Gupta, Roger A. Sauer   +2 more
wiley   +1 more source

Artificial intelligence across the cardiovascular diagnostic pathway: a case-based narrative review. [PDF]

Cardiovasc Diagn Ther
Abdalla HM, Bacon A, VanDolah H, Dreher L, Scalia I, Eldeib A, Laffaye T, Abdelnabi M, Ibrahim R, Pathangey G, Arsanjani R, Ayoub C.   +11 more
europepmc   +1 more source

BioEISense: A Microfluidic Platform for Real‐Time Monitoring of Staphylococcus aureus Biofilm Formation and the Efficacy of Antibiofilm Agents

Advanced Materials Interfaces, EarlyView.
BioEISense is a microfluidic device with integrated impedance sensors, for real‐time, label‐free monitoring of S. aureus biofilms. In this study, the biofilm culture conditions were optimized to support sensitive and reproducible detection of biofilm formation and eradication under dynamic flow‐through conditions. The system was also validated for both
Jéssica Amorim, Laura Vesalainen, Loïc Dreano, Markus Haapala, Cristina D. Cruz, Päivi Tammela, Tiina M. Sikanen   +6 more
wiley   +1 more source

Economic Evaluations of Algorithm-Enabled Remote Monitoring of Adults With Cardiac Implantable Electronic Devices: Protocol for a Systematic Review. [PDF]

JMIR Res Protoc
Daghash H, Kenny R, Cong C, Pandey R, Meinert E, S Sagoo G.   +5 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Update on pulmonary hypertension. [PDF]

Respir Res
Olschewski H.
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source