PREDICTION OF HUMAN-VIRUS PROTEIN-PROTEIN INTERACTIONS THROUGH A SEQUENCE EMBEDDING-BASED MACHINE LEARNING METHOD

Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

The identification of human-virus protein-protein interactions (PPIs) is an essential and challenging research topic, potentially providing a mechanistic understanding of viral infection.Given that the experimental determination of human-virus PPIs is time-consuming and labor-intensive, computational methods are playing an important role in providi

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The Optimization Model of Runway and Gate Assignment

This paper is aimed to develop the optimization model of time slot utilization for both runway and apron gate of airport system.The model considers the objectives of airline company to minimize flight-taxiing-time and waiting-time for both landing and take-off.The optimization makes use of Network Representation (NR) in the form of two Serving Plat

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FICTITIOUS CAPITAL AND MONOPOLY CAPITALISM

The present piece of work is a reply to Internet Log Book a scientific research that has as general objective, to establish the logic and historic determinations of one capital mode.This manner, has converted itself in the capital of the present phase of the capitalist development: "the fictitious capital".The intention of the work is proving the i

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