Results 191 to 200 of about 416,163 (244)

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

Innovative approach of nomography application into an engineering educational context. [PDF]

PLoS One
Blight T, Martínez-Pagán P, Roschier L, Boulet D, Yepes-Bellver L, Yepes V.   +5 more
europepmc   +1 more source

Wearable PZT Piezoelectric Sensor Device for Accurate Arterial Pressure Pulse Waveform Measurement

Advanced Electronic Materials, EarlyView.
This work presents a wearable device for the non‐invasive measurement of radial arterial pressure pulse waveforms, incorporating a highly sensitive flexible Lead Zirconate Titanate (PZT) piezoelectric sensor and an optimized tightness‐free attachment method to maximize the sensitivity.
Minyu Li, Jun Aoyama, Koya Inayoshi, Hedong Zhang   +3 more
wiley   +1 more source

A deep investigation of the poorly studied open cluster King 18 using CCD VRI, Gaia DR3 and 2MASS. [PDF]

Sci Rep
Ahmed NM, Bendary R, Samir RM, Elhosseiny EG.   +3 more
europepmc   +1 more source

3D Rotary Wet‐Spinning (RoWS) Biofabrication Directly Affects Proteomic Signature and Myogenic Maturation in Muscle Pericyte–Derived Human Myo‐Substitute

Aggregate, EarlyView.
Here we present a high‐resolution mass spectrometry‐based proteomics study, unravelling the molecular signatures evoked on human skeletal muscle‐derived pericytes after 3D rotary wet‐spinning (RoWS) biofabrication deposition. The presented work characterises for the very first time the molecular routes that are activated/inhibited in the 2D or 3D ...
Alessio Reggio, Claudia Fuoco, Francesca De Paolis, Rebecca Deodati, Stefano Testa, Nehar Celikkin, Marina Volpi, Sergio Bernardini, Ersilia Fornetti, Jacopo Baldi, Roberto Biagini, Dror Seliktar, Carmine Cirillo, Wojciech Swieszkowski, Paolo Grumati, Stefano Cannata, Marco Costantini, Cesare Gargioli   +17 more
wiley   +1 more source

XGBMUT: Predicting the Functional Impact of Missense Mutations Using an Extreme Gradient Boost Classifier. [PDF]

ACS Omega
Pereira GRC, Da Conceição LMA, Abrahim-Vieira BA, Rodrigues CR, Cabral LM, Coelho RLF, De Mesquita JF.   +6 more
europepmc   +1 more source

The NeuroML ecosystem for standardized multi-scale modeling in neuroscience. [PDF]

Elife
Sinha A, Gleeson P, Marin B, Dura-Bernal S, Panagiotou S, Crook S, Cantarelli M, Cannon RC, Davison AP, Gurnani H, Silver RA.   +10 more
europepmc   +1 more source

AI-enabled pipeline for virus detection, validation, and SNP discovery from next-generation sequencing data. [PDF]

Front Genet
Ghorbani A, Rostami M, Guzzi PH.
europepmc   +1 more source

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

Advanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Joe Tom   +4 more
wiley   +1 more source

Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. [PDF]

PLoS One
Isewon I, Binaansim S, Adegoke F, Emmanuel J, Oyelade J.   +4 more
europepmc   +1 more source