Results 131 to 140 of about 5,083,495 (228)

High‐Concentration Antibody Formulation via Solvent‐Based Dehydration

Advanced Materials, Volume 38, Issue 7, 2 February 2026.
Amorphous solid antibodies are encapsulated into hydrogel microparticles through a solvent‐based dehydration process. The solvent extracts water from antibody solution droplets, causing the antibody to concentrate, and precipitation of the antibody into amorphous solid is induced.
Talia Zheng, Lucas Attia, Janet Teng, Patrick S. Doyle   +3 more
wiley   +1 more source

Automatic parameter update algorithm for regression models to estimate remaining useful life: Application in an offshore natural gas dehydration unit

The Canadian Journal of Chemical Engineering, Volume 104, Issue 2, Page 935-952, February 2026.
Abstract Remaining useful life (RUL) analysis of equipment prevents failures and assists in maintenance to address impending failures. To achieve this, the advancement of degradation can be measured through a determinant variable. This work presents a new methodology for estimating the number of remaining cycles (NRC), or RUL, of equipment in cyclic ...
Leonardo M. de Marco, Jorge Otávio Trierweiler, Marcelo Farenzena   +2 more
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Fat‐Corrected Non‐Gaussian Diffusion MRI for Liver Fibrosis Assessment in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 497-507, February 2026.
ABSTRACT Background In patients with metabolic dysfunction‐associated steatotic liver disease (MASLD), non‐Gaussian diffusion—weighted imaging (DWI) has been proposed for the diagnosis of liver fibrosis, but its measurement is partially confounded by steatosis.
Omaïma Saïd, Sabrina Doblas, Valérie Paradis, Pierre Bedossa, Dominique Valla, Cédric Laouénan, Laurent Castera, Bernard E. Van Beers, Philippe Garteiser   +8 more
wiley   +1 more source

3D Whole‐Heart Joint T1/T1ρ Mapping and Water‐Fat Imaging on a Clinical 0.55‐T Low‐Field Scanner

NMR in Biomedicine, Volume 39, Issue 2, February 2026.
A 3D joint T1/T1ρ$$ \rho $$ mapping sequence was proposed at 0.55 T. Four interleaved T1 and T1ρ$$ \rho $$ encoded 3D volumes are acquired; images are reconstructed with nonrigid respiratory motion‐correction, low‐rank patch‐based denoising (HD‐PROST) and water‐fat separation; and T1/T1ρ$$ \rho $$ maps are estimated through dictionary matching.
Michael G. Crabb, Karl P. Kunze, Carlos Castillo‐Passi, Dongyue Si, Simon J. Littlewood, Claudia Prieto, René M. Botnar   +6 more
wiley   +1 more source

Spectral Calibration for TEMPO (Tropospheric Emissions: Monitoring of Pollution): Algorithm Description and Trending of Spectral Performance

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument provides continuous, high‐resolution observations of atmospheric pollutants over North America from geostationary orbit. This study introduces an on‐orbit spectral calibration algorithm implemented in the TEMPO Version 3 Level 0–1 processor, covering both operational ...
Weizhen Hou, Xiong Liu, John C. Houck, Heesung Chong, Christopher Chan Miller, David E. Flittner, James L. Carr, Kelly Chance, Huiqun Wang, Gonzalo González Abad, Caroline R. Nowlan, Jun Wang, Junsung Park, Nischal Mishra, John E. Davis, Raid M. Suleiman, Jean Fitzmaurice   +16 more
wiley   +1 more source

SMART ANTENNA ADAPTIVE BEAM FORMING BASE ON NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHIMS

Journal of Engineering and Sustainable Development, 2016
In this paper, an artificial Feed Forward Neural Network(FFNN) is used for smart antenna adaptive beamforming. Neural network is used to calculate the optimum weights that adapt the radiation pattern of the antenna by directing multiple narrow beams ...
Adheed Hassan Sallomi, Sulaiman A.G. Albanee   +1 more
doaj  

Obscuration of Crystalline Ca‐Sulfate in XRD and Raman Data When Coated by Amorphous Ferric Sulfate: Implications for the Amorphous Components at Gale Crater

Journal of Geophysical Research: Planets, Volume 131, Issue 2, February 2026.
Abstract Throughout Gale crater on Mars, the Curiosity rover has found high abundances (15–73 wt%) of X‐ray amorphous materials in the rocks and sediments. The composition of this amorphous fraction is primarily calculated by subtracting crystalline abundances measured by the Chemistry & Mineralogy X‐Ray Diffractometer (CheMin) from bulk elemental ...
R. J. Hopkins, A. D. Rogers, L. Ehm
wiley   +1 more source

Ensemble Methods for History Matching and Uncertainty Quantification With a Watershed Model

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT History matching of large hydrologic models is challenging due to data sparsity and non‐unique process combinations (and associated parameters) that can produce similar model predictions. We develop an ensemble‐based history matching (and uncertainty quantification) approach using an iterative ensemble smoother (iES) method for three cutouts ...
Michael N. Fienen, Andrew J. Long, Katherine H. Markovich, Adel E. Haj, Matthew I. Barker   +4 more
wiley   +1 more source

Neuron count impact on NNTS-based energy management in hybrid-powered renewable microgrids

Journal of Engineering and Applied Science
Efficient energy-storage management is critical for enhancing the reliability and sustainability of hybrid microgrid systems. This study examines the influence of neuron number in a Neural Network Time Series (NNTS) model on prediction quality and ...
Ismail Elabbassi, Omar Eloutassi, Youssef El hassouani   +2 more
doaj   +1 more source