Energy Transfer (ET) is positioned as a key infrastructure provider for the A.I. revolution, benefiting from surging power needs and data center expansion.
Across the sample, cognitive load was negatively correlated with learning performance (large effect size), reinforcing its role as a key mediator of digital learning outcomes. Conclusions: Both ...
Learn how to tell if your business could be facing a cash crunch Written By Written by Staff Senior Editor, Buy Side Miranda Marquit is a staff senior personal finance editor for Buy Side. Edited By ...
In patients with ST-segment elevation myocardial infarction (STEMI)-induced cardiogenic shock undergoing hemodynamic monitoring with a pulmonary artery catheter, the use of a microaxial flow pump ...
Introduction: Multiple cytokines detection represents a more robust way to predict the disease progression than a single cytokine, and flow cytometry (FCM)-based assays are increasingly used worldwide ...
In both transmission and distribution electrical power systems, load flow analysis is crucial for various reasons. At one level, it informs us about the amount of real and reactive power flowing ...
Abstract: The study investigates the capabilities of the Time-Domain Load Flow (TDLF) analysis in the Electrical Transient Analyser Program (ETAP) to assess the hybrid microgrids' performance under ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
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