Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation

Municipal Solid Waste (MSW) management enact a significant role in protecting public health and the environment.The main objective of this paper is to explore the utility of using state-of-the-art machine learning and deep learning-based models for predicting future variations in MSW generation for a given geographical region, considering its past

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Statistical physics study of the interaction of the 5, 10, 15, 20-tetrakis (4-tolylphenyl) porphyrin (H2TTPP) with magnesium ion: New microscopic interpretations

In this article, Tetraphenylporphyrin molecules were synthesized and used as biosensor for Magnesium ion.The metallization of porphyrin is a fundamental step which needs to be studied and educated.In fact, adsorption isotherms of magnesium nitrate on porphyrin coated onto Quartz crystal are achieved at four temperatures.Then, statistical physics tr

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Human Antimicrobial Peptides: Analysis and Application

Antimicrobial peptides are innate host defense molecules that have a direct effect on bacteria, fungi and enveloped viruses.They are found in evolutionarily diverse species Canteen ranging from prokaryotes and plants to invertebrate and vertebrate animals.Humans express several families of antimicrobial peptides in myeloid cells and on various epit

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Population Dynamics of Macrosiphum rosae (L.) on Different Cultivars of Rose (Rosahybrida, Rosaceae) and Biodiversity of its Predators in Mashhad

Introduction: Rose (Rosa hybrida (L.), Rosaceae) has been grown on earth for millions of years and has been 2 Dining Room Chairs used for beauty and decoration of gardens, extraction of perfume and in medicine.But main use of roses is in cut flower industry and landscaping.Roses are attractive for insects, especially aphids (2, 3, 5, 6, 7, 11, 17,

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