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Volume 9, No: 1

Capture of a New-born Shortfin Mako Shark Isurus Oxyrinchus (Lamniformes: Lamnidae), with Updated Records from the Turkish Marine Waters

Authors: Okan Akyol, Christian Capape
DOI: 10.28978/nesciences.1472086
Pages: 01-09
Keywords: Lamnidae, economic interest, fishing pressure, distribution, management, nursery ground, eastern mediterranean sea.
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Ecological-Faunistic Analysis of Helminthes of Waterbirds of the Aidar-Arnasay System of Lakes in Uzbekistan

Authors: Adolat Ravshanova, Feruza Akramova, Kalandar Saparov, Javlon Yorkulov, Mashhura Akbarova, Djalaliddin Azimov
DOI: 10.28978/nesciences.1471270
Pages: 10-25
Keywords: Waterbirds, helminths, fauna, ecology, distribution, Aidar-Arnasay lake system, uzbekistan.
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Enhancing Economic Security through Digital Transformation in Investment Processes: Theoretical Perspectives and Methodological Approaches Integrating Environmental Sustainability

Authors: Oleksandr Kalinin, Viktoriya Gonchar, Nataliia Abliazova, Liliya Filipishyna, Oleh Onofriichuk, Maksym Maltsev
DOI: 10.28978/nesciences.1469858
Pages: 26-45
Keywords: Economic security, environment, digital transformation, investment processes, theoretical perspectives, methodological approaches, partnership, benefits for ecosystem.
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Prediction of Air Pollution Utilizing an Adaptive Network Fuzzy Inference System with the Aid of Genetic Algorithm

Authors: Dr.J. Praveenchandar, K. Venkatesh, B. Mohanraj, M. Prasad, Dr.R. Udayakumar
DOI: 10.28978/nesciences.1489228
Pages: 46-56
Keywords: Air pollution, prediction, genetic algorithm, adaptive network fuzzy inference system, anfis tree, root mean square error.
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Importance of Environmental Education in the Context of Natural Sustainability

Authors: Karel Llopiz-Guerra, Daline Urdanivia Ruiz, Ronald M. Hernández, Valia Luz Venegas Mejia, Jadira Del Rocío Jara Nunayalle, Karla Robalino Sanchez
DOI: 10.28978/nesciences.1473461
Pages: 57-71
Keywords: Environmental education, natural, sustainability, EESD, survey.
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Utilizing Deep Learning and the Internet of Things to Monitor the Health of Aquatic Ecosystems to Conserve Biodiversity

Authors: Bobir A. Odilov, Askariy Madraimov, Otabek Y. Yusupov, Nodir R. Karimov, Rakhima Alimova, Zukhra Z. Yakhshieva, Sherzod A Akhunov
DOI: 10.28978/nesciences.1491795
Pages: 72-83
Keywords: Internet of things, biodiversity, deep learning, aquatic ecosystem.
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