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J. Paniagua-Michel and Ibrahim M. Banat
The search for practical solutions to alleviate the destructive impact of petroleum hydrocarbons in marine environments is contributing to the implementation of prospecting strategies for indigenous microorganisms with biodegradative and bioremediation p...
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Juan Carlos Suárez, Amara T. Contreras, Milan O. Urban, Miguel A. Grajales, Stephen E. Beebe and Idupulapati M. Rao
One of the strategies to combat micronutrient malnutrition is by developing biofortified common bean lines (Phaseolus vulgaris L.) capable of tolerating different stress conditions. In this study, the adaptive responses of different biofortified bean lin...
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Yunhe Guo, Zijian Jiang, Hanqiao Huang, Hongjia Fan and Weiye Weng
In order to improve the problem of overly relying on situational information, high computational power requirements, and weak adaptability of traditional maneuver methods used by hypersonic vehicles (HV), an intelligent maneuver strategy combining deep r...
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Xian Tang, Yousef Alhaj Hamoud, Hiba Shaghaleh, Jianrong Zhao, Hong Wang, Jiajia Wang, Tao Zhao, Bo Li and Ying Lu
Soil labile organic carbon (LOC) is a valuable and sensitive parameter of the changes in soil carbon (C) pools and further affects soil structural stability. However, the influences of soil-aggregate stability on LOC fractions under erosion conditions ar...
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Josie Mielhausen, Jaclyn M. H. Cockburn, Paul V. Villard and André-Marcel Baril
Vortex rock weirs (VRW) are often used in natural channel design applications to maintain channel form and function, provide physical channel stability, and enhance aquatic habitats. A balanced approach is required to address (often) conflicting goals of...
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Pieter Cawood and Terence Van Zyl
The techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the...
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Rafet Durgut, Mehmet Emin Aydin and Abdur Rakib
In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a paramet...
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Lucileine de Assumpção, Maristela Cavicchioli Makrakis, Jhony Ferry Mendonça da Silva, Karane Allison Silvestre de Moraes, Suelen Fernanda Ranucci Pini, Patrícia Sarai da Silva, Elaine Antoniassi Luiz Kashiwaqui, Eduardo Gentil, Lenice Souza-Shibatta, Oscar Akio Shibatta and Sergio Makrakis
Steindachneridion melanodermatum, an endemic and endangered species, is the largest catfish in the Lower Iguaçu River basin. Currently, the wild population of this species no longer exists in most of this basin, probably due to the loss of habitat by suc...
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Robert Goodspeed, Christina Babbitt, Ana Lucia Garcia Briones, Emily Pfleiderer, Camilla Lizundia and Colleen M. Seifert
This paper reports an empirical evaluation of a new serious game created to foster learning about collaborative management of common pool resources. Stakeholders (n = 41) involved in the implementation of California?s Sustainable Groundwater Management A...
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Mushtak Kisko, Vishnu Shukla, Mandeep Kaur, Nadia Bouain, Nanthana Chaiwong, Benoit Lacombe, Ajay Kumar Pandey and Hatem Rouached
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