Results 151 to 160 of about 743 (246)

Left atrial function in uraemic patients: Four‐dimensional automatic left atrial quantitative technology study

ESC Heart Failure, Volume 12, Issue 2, Page 1316-1325, April 2025.
Abstract Objective This study aimed to evaluate the utility of left atrial volume and function in uraemic patients using four‐dimensional automatic left atrial quantification (4D auto LAQ) technology. Methods Thirty‐four undialysed uraemic patients (U‐ND group), 60 dialysed uraemic patients (U‐D group), and 32 healthy volunteers (N group) were enrolled
Bing Li, Meihua Chen, Xuning Huang
wiley   +1 more source

Robust fault diagnosis of fractional order Takagi-Sugeno systems with uncertainties in premise variables. [PDF]

Sci Rep
Djeddi A, Azar AT, Djari A, Dib D, Alshathri S, El-Shafai W.   +5 more
europepmc   +1 more source

Systematic statistical analysis of change in SEIzure interVAL with diazepam nasal spray supports this novel clinical endpoint for immediate‐use seizure medication

Epilepsia, EarlyView.
Abstract Objective Appropriate endpoints for daily antiseizure medications may differ from those for intermittent, immediate‐use seizure medications (ISMs). The observed interval between seizure clusters over time (SEIzure interVAL [SEIVAL]) has been proposed as a novel effectiveness endpoint for ISMs.
Wesley T. Kerr, Katherine N. McFarlane, Leock Y. Ngo, Enrique Carrazana, Adrian L. Rabinowicz   +4 more
wiley   +1 more source

Fractional spatiotemporal Hahnfeldt tumor model with convergence analysis and optimal control. [PDF]

Sci Rep
Can E.
europepmc   +1 more source

Comparison of volume‐ and surface‐based magnetic resonance imaging morphometry algorithms in the detection of focal cortical dysplasia

Epilepsia, EarlyView.
Abstract Objective Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume‐based Morphometric Analysis Program, version 2018 (MAP18) with integrated artificial neural network and ...
Lara Bücheler, Marco Reisert, Theo Demerath, Florian Mayer, Christian Moeller, Joshua Reß, Yiwen Li Hegner, Dirk‐Matthias Altenmüller, Victoria San Antonio‐Arce, Christian Scheiwe, Mukesch Shah, Jürgen Beck, Soroush Doostkam, Thomas Bast, Bernhard J. Steinhoff, Andreas Schulze‐Bonhage, Horst Urbach, Marcel Heers   +17 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

A unified Haar wavelet collocation framework for fractional volterra integro-differential equations with application to tumor-immune dynamics modeling. [PDF]

Sci Rep
Hamood MM, Sharif AA, Ghadle KP.
europepmc   +1 more source

Iron Energy Carrier: Experimental Characterisation, Combustion Diagnostic and Benchmarking with Other Clean Metal Fuels

Energy Science &Engineering, EarlyView.
This study investigates how iron particles burn across a wide size range, revealing late‐stage nanoparticle release and a previously unrecognised shift in combustion behaviour near 118 µm. High‐speed imaging, PMT diagnostics and SEM analyses have been conducted.
Zakaria Mansouri
wiley   +1 more source

A novel nonlinear PID controller design with adaptive gains. [PDF]

Sci Rep
Ozgun AS, Selim E, Bayrak A, Tatlicioglu E.   +3 more
europepmc   +1 more source

A Novel Bipolar DC Connection Strategy for Photovoltaic Power Plants With a 50% Reduction in DC Cabling Length

Energy Science &Engineering, EarlyView.
Bipolar configuration is a new topology in the direct current (DC) system of photovoltaic power plants, which is topologically analogous to the bipolar configuration utilised in High‐Voltage Direct Current power transmission systems. DC cable length and copper usage are reduced by 50% using a bipolar configuration.
Duško M. Tovilović, Željko R. Đurišić, Vladan R. Durković   +2 more
wiley   +1 more source