PERIODIC PRESSURE PREDICTION OF WORKING FACE BASED ON DYNAMIC ADAPTIVE SAILFISH OPTIMIZATION BP NEURAL NETWORK

Periodic pressure prediction of working face based on dynamic adaptive sailfish optimization BP neural network

In order to solve the problems of insufficient precision, poor generalization, and high computational requirements of existing methods for periodic pressure prediction of working face, a periodic pressure prediction model of working face based on dynamic adaptive sailfish optimization BP neural network (DASFO-BP) is proposed.By analyzing the mechan

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Degradation of hexosylceramides is required for timely corpse clearance via formation of cargo-containing phagolysosomal vesicles

Efficient degradation of phagocytic cargo in lysosomes is crucial to maintain cellular homeostasis and defending cells against pathogens.However, the mechanisms underlying the degradation and recycling of macromolecular cargo within the phagolysosome remain incompletely understood.We previously reported that the phagolysosome containing the corpse

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COVID-19 Awareness Among Dental Professionals in Indonesia

Background: The COVID-19 pandemic caused by SARS-CoV-2 has claimed thousands of lives worldwide.To enhance knowledge and awareness of COVID-19, considerable online resources have been made available, including aspects related to the dental profession.The study aim was to examine the knowledge, perception, and attitude of dental professionals in Ind

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