Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis)

Introduction: Urban growth has accelerated in recent decades, therefore, predicting the future growth pattern of the city is very important to prevent environmental, economic, and social problems.The city of Tabriz has also experienced rapid growth of urban lands due to significant demographic changes, which requires accurate simulation of urban gr

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A SI model for social media influencer maximization

Social network mining can be divided into two categories, namely, the study of structural characteristics and content analysis.One of the most significant problem in the context of a social network is finding the most influential entities within the network.This task has significance in viral marketing, since the most influential entities can be ta

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Hemophilia

Hemophilia is a congenital X-linked hemorrhagic disorder.Its most frequent sign is an uncontrollable and prolonged bleeding, that results from lack or absence of some coagulation factors in the blood.Hemorrhage can occur even without any obvious cause.This bleeding read more often happens in joints.The symptoms include: 1.Bruising: the bruise resul

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Repeated Blockade of NMDA Receptors during Adolescence Impairs Reversal Learning and Disrupts GABAergic Interneurons in Rat Medial Prefrontal Cortex

Adolescence is of particular significance to schizophrenia, since psychosis onset typically occurs in this critical period.Based on the N-methyl-D-aspartate (NMDA) receptor hypofunction hypothesis of schizophrenia, in this study, we investigated whether and how repeated NMDA receptor blockade during adolescence would affect GABAergic interneurons i

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