Results 41 to 50 of about 152 (152)

Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach

Nanotechnology Reviews
In recent times, machine learning methods have become powerful tools for solving complex problems, optimizing processes, and extracting insights from large datasets, especially in fluid dynamics.
Jakeer Shaik, Reddy Seethi Reddy Reddisekhar, Thameem Basha Hayath, Cho Jaehyuk, Sathishkumar Veerappampalayam Easwaramoorthy   +4 more
doaj   +1 more source

Exploring the efficiency of employing Fe3O4-MWCNT Nanofluids in a heat sink equipped with circular micro pin-fins

International Journal of Thermofluids
This work investigates the effects of adding different turbulence-inducing elements and varying the concentration of Fe3O4-MWCNT hybrid nanofluid to evaluate the efficiency of a micro pin-fin heat sink.
Ali Basem, Marwan Abdeldayem, Dheyaa J. Jasim, Hossein Nabi   +3 more
doaj   +1 more source

Blood RNA Biomarker Signatures for Early Diagnosis and Prognosis in Ischemic and Hemorrhagic Stroke: The IBIS‐CT1 Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau, Marie Bruguet, Irina Viakhireva‐Dovganyuk, François‐Mathias Merrien, Denis Marechal, Aurore Jourdain, Philippe Goas, Jordan Coris, Julien Asselineau, Maëlys Consigny, Gérald Le Gac, Serge Timsit   +11 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Python-based machine learning procedure for radiative Sutterby multiple-hybrid nanofluid flow comprising features of chemical processes

Journal of Radiation Research and Applied Sciences
The present investigation refers to a novel comparison approach to evaluate the thermal conduction attributes and other thermal properties of Sutterby multi-hybrid nanofluids.
Hamid Qureshi, Sultan-ul-Arfeen, Waqar Azeem Khan, Komal Bashir, Zahoor Shah, Taseer Muhammad   +5 more
doaj   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 stainless steel

Heliyon
The use of a composite welded joint consisting of titanium and austenitic stainless steel metals is evidently a favourable selection for industrial applications employing the resistance spot welding (RSW) operation. Nevertheless, achieving a high-quality
Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński   +3 more
doaj   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Numerical study of Maxwell nanofluid flow with MWCNT and SWCNT considering quartic autocatalytic reactions and Thompson-Troian slip mechanism

Discover Applied Sciences
The impact of the Thompson and Troian slip restrictions on continuous nanofluid flow, including CNTs near the stagnation point with constricting/enlarging surfaces, examined using a mathematical model.
Y. Mehmood, Ammar Alsinai, Azmat Ullah khan Niazi, Muhammad Bilal, Tasneem Akhtar   +4 more
doaj   +1 more source

Steady and periodical heat-mass transfer behavior of mixed convection nanofluid with reduced gravity, radiation and activation energy effects

Case Studies in Thermal Engineering
Significance of this study is to explore Arrhenius activation energy, microgravity, chemical reaction and porous medium effects on Darcy nanofluid over a stretching sheet with nonlinear thermal radiations.
Cyrus Raza Mirza, Zia Ullah, A. Dahshan, Md Mahbub Alam, Khadijah M. Abualnaja, Hanaa Abu-Zinadah, Abdullah A. Faqihi, Nidhal Ben Khedher   +7 more
doaj   +1 more source