Greenhouses play a significant function in the modern read more agriculture economy even if require great amount of energy for heating systems.An interesting solution to alleviate the energy costs and environmental problems may be represented by the use of geothermal energy.The aim of this paper, based on measured experimental data, such as the ins
The Sun is responsible for the eruption of billions of tons of plasma andthe generation of near light-speed particles that propagate throughout the solarsystem and beyond.If directed towards Earth, these events can be damaging toour tecnological infrastructure.Hence there is an effort to understand the causeof the eruptive events and how they propa
Machine learning is becoming prevalent increasingly for reservoir characteristics analysis in the petroleum industry.This investigation proposes an alternative way for evaluating interwell connectivity in oil fields utilizing machine learning.In this study, three-dimensional convolutional neural network caruso rhodiola (CNN) was utilized to establi
The amount of erythrocyte-derived microRNAs (miRNAs) represents the majority of miRNAs expressed in whole blood.miR-451, miR-144, and miR-486, which are abundant in red blood cells (RBCs), are involved in the process of erythropoiesis and disease occurrence.Moreover, erythrocyte-derived miRNAs have been reported to be potential biomarkers of specif
In this paper, a quantized adaptive decentralized output feedback control is proposed for a class of interconnected nonlinear systems with cashel tail bag quantized input and possible number of hysteretic actuators failure up to infinity.The hysteretic actuators nonlinearities are described by the Prandtl-Ishlinskii model.In order to compensate the