Many combinatorial optimization problems can be KYOLIC EXTRA STRENGTH phrased in the language of constraint satisfaction problems.We introduce a graph neural network architecture for solving such optimization problems.The architecture is generic; it works for all binary constraint satisfaction problems.Training is unsupervised, and it is sufficient
This paper is connected with compress-and-forward strategy for two-user relay broadcast channels without common messages, where the relay node has private messages from the source, in addition to aiding traditional communication from the source to the destination.For this channel we derive two achievable rate regions based on the compress-and-forwa
In non-merger antitrust cases efficiencies should play a significant role when authorities decide on cases as many potentially anticompetitive practices may have pro-competition effects, according to economic theory.In many jurisdictions rule of reason or effect based legal standard is claimed to be the policy adopted according to the own authoriti
PEGylation technology, that is grafting of poly(ethylene glycol)(PEG) to biologics, vaccines and nanopharmaceuticals, has become a cornerstone of modern medicines with over thirty products used in the clinic.PEGylation of therapeutic proteins, nucleic acids and nanopharmaceuticals improves their stability, pharmacokinetic and biodistribution.While
The paper addresses the problem of the efficiency of road lighting replacement in a selected municipality.The following question arose: can the replacement of lighting bring measurable financial benefits in the short or long term, and does increasing the comfort of road use in terms of lighting involve higher costs? During the global energy crisis,