Results 71 to 80 of about 15,072 (248)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Limiting and controlling carbapenem-resistant Klebsiella pneumoniae
Lisa Saidel-Odes,1,2 Abraham Borer1,21Infection Control and Hospital Epidemiology Unit, 2Infectious Diseases Institute, Soroka University Medical Center and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, IsraelAbstract ...
Saidel-Odes L, Borer A
doaj
Third Order ODEs Systems and Its Characteristic Connections
We compute the characteristic Cartan connection associated with a system of third order ODEs. Our connection is different from Tanaka normal one, but still is uniquely associated with the system of third order ODEs. This allows us to find all fundamental
Alexandr Medvedev
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Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç +2 more
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Shmuel Odes,1 Dan Greenberg21Department of Gastroenterology and Hepatology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel; 2Department of Health Systems Management, Faculty of Health Sciences and Guilford Glazer ...
Odes S, Greenberg D
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Integrated Assessment of Lipid Oxidation and Off‐Flavor Formation in Plant Protein Powders
Impact of residual lipids on oxylipin and off‐flavor formation in commercial plant proteins: A detailed analysis of precursor‐product relationships by GC‐FID, LC‐MS/MS, and GC‐MS. ABSTRACT The widespread adoption of plant proteins is hindered by their inherent off‐flavors, often linked to lipid oxidation products.
Fernanda Furlan Goncalves Dias +3 more
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ABSTRACT This work examines the intricate interactions of heat radiation, viscous dissipation, the Cattaneo–Christov thermal model, gyrotactic microorganisms, Arrhenius activation energy, and Darcy–Forchheimer flow affecting Ree‐Eyring nanofluid behavior across a Riga plate.
M. Vinodkumar Reddy +4 more
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In this work, we prove that the integrating factors can be used as a reduction method. Analytical solutions of the Jaulent–Miodek (JM) equation are obtained using integrating factors as an extension of a recent work where, through hidden symmetries, the ...
Rahma Sadat, Magda Kassem
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ABSTRACT Hybrid nanofluids, known for their superior thermal and electrical conductivity, have demonstrated remarkable potential in enhancing the heat transfer capability of conventional base fluids. This study analyzes the effects of viscous dissipation and heat radiation on two‐dimensional unsteady incompressible squeezing flow transporting hybrid ...
Hajra Batool +3 more
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ABSTRACT This paper presents a comprehensive numerical analysis of magnetohydrodynamic (MHD) Casson nanofluid movement over a permeable, linearly stretching sheet, integrating the contributions of non‐uniform heat generation or absorption and chemical interaction.
Manoj Kumar Sahoo +3 more
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