A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks

Some artificial intelligence algorithms have gained much attention in the rotating machinery fault Hats diagnosis due to their robust nonlinear regression properties.In addition, existing deep learning algorithms are usually dependent on single signal features, which would lead to the loss of some information or incomplete use of the information in

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Donor NK and T Cells in the Periphery of Lung Transplant Recipients Contain High Frequencies of Killer Cell Immunoglobulin-Like Receptor-Positive Subsets

IntroductionFor end-stage lung diseases, double lung transplantation (DLTx) is the ultimate curative treatment option.However, acute and chronic rejection and chronic dysfunction are major limitations in thoracic transplantation medicine.Thus, a better understanding of the contribution of immune responses early after DLTx is urgently needed.Passeng

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Green technology innovations, natural gas and resource extraction strategies in BRICS: Modeling impacts on CO2 emission intensity

The article extends beyond conventional models and indicators by initially attempting to capture the complex effects of green technological innovations and changes in natural resource extraction and natural gas production on a novel environmental quality indicator (CO, Highball Glasses intensity, CO2ei) for the BRICS countries from 1990 to 2020.The

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Effectiveness of mechanical vs. chemomechanical methods in removing intracanal calcium hydroxide medication: a randomised trial

Objective: To compare the mechanical and chemomechanical methods for removing calcium hydroxide medication from the root canal system.Method: The triple-blind, randomised clinical trial was conducted at the Department of Operative Dentistry and Endodontics, School of Dentistry, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan, fr

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