DEVELOPMENT OF DTT SINGLE NULL DIVERTOR SCENARIO

Development of DTT single null divertor scenario

This paper focuses on scrape-off layer and divertor modelling of the medium-density single-null scenario of the Divertor Test Tokamak facility (DTT), under construction in Italy.The modelling was moondrop quarks performed using the 2D coupled fluid-Monte Carlo code SOLEDGE2D-EIRENE.For DTT pump designing, neutral pressure at the pump aperture below

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Evaluation of a Native Preparation of HCV Core Protein (2-122) For Potential Applications in Immunization, Diagnosis and Mab Production

Infection with hepatitis C virus (HCV) is a worldwide problem.Among HCV proteins, core antigen (Ag), besides its importance for diagnostic application is a prime candidate for component of a vaccine.Herein, we report results of studies on production of the hydrophilic domain of core Ag (2-122) in native conformation by an arabinose induction system

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Estimating the richness of a population when the maximum number of classes is fixed: a nonparametric solution to an archaeological problem.

Estimating assemblage species or class richness from samples remains a challenging, but essential, goal.Though a variety of statistical tools for estimating species diamond painting strand en zee or class richness have been developed, they are all singly-bounded: assuming only a lower bound of species or classes.Nevertheless there are numerous situ

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Protocol for a pragmatic cluster randomised controlled trial to evaluate the effectiveness of digital health interventions in improving non-communicable disease management during the pandemic in rural Pakistan.

BackgroundThe COVID-19 pandemic has revealed gaps in global health systems, especially in the low- and middle-income countries (LMICs).Evidence shows that patients with non-communicable diseases (NCDs) are at higher risk of contracting COVID-19 and suffering direct and indirect health consequences.Considering the future challenges such as diamond p

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Distributed Cooperative Sliding Mode Fault-Tolerant Control for Multiple High-Speed Trains Based on Actor-Critic Neural Network

This article investigates the cooperative fault-tolerant control problem for multiple high-speed trains (MHSTs) with actuator faults and communication delays.Based on the actor-critic neural network, a distributed sliding mode ps5 price new jersey fault-tolerant controller is designed for MHSTs to solve the problem of actuator faults.To eliminate t

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