Abstract: Geothermal energy presents a promising opportunity for sustainable and efficient energy production. To maximize the efficiency of geothermal systems, developing advanced materials capable of effectively transferring and ...

Abstract: This research delves into the multifaceted realm of carbon dioxide (CO2) utilization and transportation, focusing on combatting the pressing global challenge of climate change. Through an extensive review of literature, ...

Abstract: Physical modeling of floating offshore wind turbines (FOWTs) is challenging due to the complexities associated with the simultaneous application of two different scaling laws, governing the hydrodynamic and aerodynamic ...

Abstract: Mechanical characterization of the ex vivo tricuspid valve (TV) continues to provide key insights into native valve function and the development of valvular diseases. However, experimental methods to characterize TV ...

Abstract: Three-bladed Darrieus-type vertical axis water turbine is a promising solution for producing electricity with minimal impact on the environment. Although considered a viable option, straight-bladed Darriues-type turbines ...

Abstract: Protective biology and engineering are an integrated discipline aiming to understand the naturally occurring protective mechanisms established through an evolution in response to environmental insults and genetic defects ...

Abstract: We describe a roadmap using three sets of technologies to enable base-load nuclear reactors to replace all fossil fuels in a low-carbon world. The technologies integrate nuclear, wind, solar, hydroelectricity and biomass ...

Abstract: The current manual process for property deed recording lacks automation, efficiency, and transparency. Real estate transactions require disjointed efforts from multiple parties, and they only become legally binding once ...

Abstract: Experimental validation of the analytical predictions for the “deviant” density enhancement of nanofluids is presented in this study. Experimental measurements of density were complemented by transmission electron microscopy ...

Abstract: Collision avoidance in ships and robotic vehicles exemplifies a complex work process that necessitates effective scenario recognition and precise movement decision-making. Machine learning methods addressing such work ...