Results 131 to 140 of about 582,597 (232)

A novel weighted pseudo-labeling framework based on matrix factorization for adverse drug reaction prediction. [PDF]

BMC Bioinformatics
Chen J, Han F, He M, Shi Y, Cai Y.
europepmc   +1 more source

Biomedical Application of Cold Plasma: Navigating Through Plasma Types and Devices by Antimicrobial Effectiveness and Tissue Tolerance

Advanced Therapeutics, EarlyView.
Cold plasma devices (J‐Plasma, Piezo Brush PZ3, Plasma Care) generate unique reactive species that penetrate tissues differently, enabling biofilm eradication while preserving tissue health. This study uncovers plasma‐device interactions with biofilms and surfaces, highlighting tailored applications for precision medicine and infection control ...
Thomas P. Thompson, Amanda Connelly, Sean Kelly, Ross M. Duncan, Jordanne‐Amee Maybin, Carla McDonnell, Autumn Melvage, Laura A. McClenaghan, Aikaterini Dedeloudi, Dimitrios A. Lamprou, Thomas P. Schaer, Paula Bourke, Noreen J. Hickok, Brendan F. Gilmore, Theresa A. Freeman   +14 more
wiley   +1 more source

High-performance deep spiking neural networks with 0.3 spikes per neuron. [PDF]

Nat Commun
Stanojevic A, Woźniak S, Bellec G, Cherubini G, Pantazi A, Gerstner W.   +5 more
europepmc   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

Advanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann, Paul Häusner, Arne Langhoff, Christian Leppin, Ilya Reviakine, Viktor Vanoppen   +5 more
wiley   +1 more source

Lightweight deep learning for real-time road distress detection on mobile devices. [PDF]

Nat Commun
Hu Y, Chen N, Hou Y, Lin X, Jing B, Liu P.   +5 more
europepmc   +1 more source

Wave Propagation Approaches for Design Optimization of Asymmetric Double‐Layer Gold Gratings: Logic‐ and Learning‐Based Perspectives

Advanced Theory and Simulations, EarlyView.
This study presents a wave propagation‐based optimization strategy for asymmetric double‐layer Au gratings to improve infrared polarization selectivity. A logic‐based method efficiently determines single‐wavelength structures through analytical modeling, while a learning‐based approach utilizing an explainable neural network enables broadband ...
Ryuna Kang, Jehwan Hwang, Jun Oh Kim, Zahyun Ku, Yunsang Kwak   +4 more
wiley   +1 more source

Bayesian network structure learning by opposition-based learning. [PDF]

Sci Rep
Sun B, Zhang X, Jiang J, Gong J, Lin D.
europepmc   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

Advanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain, Mohammad Hashmi, Fadhel M. Ghannouchi   +2 more
wiley   +1 more source

Computational Study Protocol: Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data. [PDF]

F1000Res
Kohnert E, Kreutz C.
europepmc   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source