KICK PREDICTION METHOD BASED ON ARTIFICIAL NEURAL NETWORK MODEL

Kick Prediction Method Based on Artificial Neural Network Model

Kick is one of the most important drilling problems, and because its occurrence makes drilling engineering extremely complex, it is essential to predict the possibility of kick as soon as possible.In this study, k-means clustering was combined with four artificial neural networks: regularized RBFNN, generalized RBFNN, GRNN, and PNN, to estimate the

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Colorectal stenting in cancer patients

Background.Malignant colonic obstruction (MCO) it is one of the most common and severe complications of colon and rectal Cosmetic Bag cancer.The mechanisms underlying MCO development include impairments in motor, secretory and resorptive functions of the intestine, disorders of water-electrolyte metabolism, endotoxicosis, and compartment syndrome.A

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Deciphering the virome of Chunkung (Cnidium officinale) showing dwarfism-like symptoms via a high-throughput sequencing analysis

Abstract Background Viruses have notable Kids Water Bottle effects on agroecosystems, wherein they can adversely affect plant health and cause problems (e.g., increased biosecurity risks and economic losses).However, our knowledge of their diversity and interactions with specific host plants in ecosystems remains limited.To enhance our understandin

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Anterograde Axonal Transport in Neuronal Homeostasis and Disease

Neurons are highly polarized cells with an elongated axon that extends far away from the cell body.To maintain their homeostasis, neurons rely extensively on axonal transport of membranous organelles and other molecular complexes.Axonal transport allows for Cosmetic Bag spatio-temporal activation and modulation of numerous molecular cascades, thus

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