USING ARTIFICIAL NEURAL NETWORKS TO DETERMINE SIGNIFICANT FACTORS AFFECTING THE PRICING OF WPT EFFLUENT FOR INDUSTRIAL USES IN ISFAHAN

Using Artificial Neural Networks to Determine Significant Factors Affecting the Pricing of WPT Effluent for Industrial Uses in Isfahan

The evidence indicates increasing trend of SNORE NO MORE use of municipal wastewater treatment effluent as an alternative source of water both in developed and developing countries.Proper pricing of this unconventional water is one of the most effective economic tools to encourage optimum use of fresh water resources.In this study, artificial neura

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Textual Emotional Tone and Financial Crisis Identification in Chinese Companies: A Multi-Source Data Analysis Based on Machine Learning

Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding business risk on listed companies in China.Listed companies, as the solid foundation of the national economy, once they face a financial crisis, will experience hazards from multiple perspectives.Therefore, the construction of an effective financial c

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Psoriasis and Schizophrenia: An immunological link

Introduction Schizophrenia has progressively been seen as a multifactorial disease, with its pathogenesis including immune dysfunction.Studies have leaned into the activation of brain inflammation, influencing the development of schizophrenia in certain subgroups of patients.Additionally, the role of the T helper (Th17) cells and neuromediators ass

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