Coastal solid waste prediction by applying machine learning approaches (Case study: Noor, Mazandaran Province, Iran)

Nowadays, intelligent systems are used as innovative tools in different environmental issues.However, the prediction of short-term waste, unlike the long-term scale, is less developed due to more uncertainties and the difficulty in determining measurable independent parameters.In this study, two types of artificial neural networks (MLP and RBF) and

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Small molecule drug discovery targeting the JAK-STAT pathway

The Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway functions as a central hub for transmitting signals from more than 50 cytokines, playing a pivotal role in maintaining hematopoiesis, immune balance, and tissue homeostasis.Dysregulation of this pathway has been implicated in various diseases, including immunodefic

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Simulation of operation of pneumatic compensator with quasi-zero stiffness in the electric centrifugal submersible pump unit

The ECSPU pneumatic compensators with quasi-zero simply boho classroom stiffness are proposed.The pneumatic compensator with quasi-zero stiffness is suggested to be made in the form of pneumatic spring assemblies having a power characteristic with a positive stiffness working area and a set of successively connected Belleville springs and a power c

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