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  • Publication
    Digital Tectonics and Cinematic Intimacy: An Epidemiological/Psychoanalytic Perspective
    This chapter will develop the basic premise of a paper delivered at the 2021 Irish Psychoanalytic Film Festival entitled “When the disease is misrecognised as the cure: Screen Contagion in the Shadow of COVID-19". The aim, building on Ian Parker’s concluding remarks at the event, is to explore - by way of analytical interventions into the field - the notion of cinematic intimacy in the context of COVID-19 and the lockdown experience. The working hypothesis is that the increased proximity to screens and images during the pandemic is a symptom - in the fundamental Lacanian sense - of a more serious screen contagion at work in the shadows of COVID-19. Using an innovative combination of psychoanalytic and epidemiological tools, this chapter attempts to analyse this phenomenon at the level of what I term the Tektonic Virus: a form of algorithmic desire fuelling the viral spread of a new mode of digitised subjectivity. © 2024 selection and editorial matter, Carol Owens and Sarah Meehan O’Callaghan; individual chapters, the contributors.
      4
  • Publication
    The BRIC and Climate Change Mitigation
    (2022)
    Leal-Arcas, Rafael
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    Al Zarkani, Mariam
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    Jbara, Lina
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    Margaritidou, Marianna
    ;
    Mubwana, Ruqaya Mohamed
    This chapter examines the climate change mitigation law and policy of four major developing countries: Brazil, Russia, India, and China (i.e., the BRIC). It will first analyse the case of Brazil, then India, China, and lastly Russia. The chapter explores the main causes of Brazil’s contribution to global climate change (namely deforestation, cattle ranching, agricultural expansion, and energy production). It then offers mitigation strategies for the case of India and makes the case for investing in cities, solar energy, hydropower, and electric vehicles. The chapter then explores China’s position in the mitigation of climate change by analysing key policies such as carbon pricing, energy efficiency, renewable energy, and fossil fuels. Lastly, it examines Russia’s domestic policies to reduce carbon emissions. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.
      4Scopus© Citations 1
  • Publication
    Future of nanomaterials in agricultural practices
    (2023)
    Almansoori, Latefa Hamdan
    ;
    Nazir, Asiya
    The development of nanotools for plant disease diagnosis, nutritional absorption, biotic, and abiotic stress tolerance showed their potential to revolutionize the agriculture sector. Nanomaterials are being used increasingly in agriculture that hopes to reduce our dependence on pesticides and fertilizers while improving yields through the reduction in nutrient losses by increasing agricultural products and improving soil quality. Biosensors are being developed to assess for the presence of phytopathogens, biotic, and abiotic stressors for their timely remediation without affecting crop yield. Nanofertilizers were developed for enhanced biosorption with minimum side effects for better agricultural yield. Despite the vast potential of nanomaterials in the agricultural sector, numbers of bottlenecks are limiting their broader application. Like, nanomaterials must meet the demands of novel structural materials by reducing energy usage, reducing life-cycle costs, decreasing fuel consumption and running costs, and increasing the vehicle's capacity as well as comfort. However, while nanomaterials provide new avenues for precise and sustainable agriculture, it is essential to scrutinize their limitations before market applications.
      2Scopus© Citations 1
  • Publication
    Animal migration optimization algorithm: novel optimizer, analysis, and applications
    (2024)
    Abualigah, Laith
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    Ahmad, Esraa Nasser
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    Ikotun, Abiodun M.
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    Alsoud, Anas Ratib
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    Khodadadi, Nima
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    Ezugwu, Absalom E.
    ;
    Jia, Heming
    A new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. In this paper, we present an overview of the AMO algorithm, describe the algorithm procedure, summarize some of the recent works and applications that use AMO algorithms, classify these works in many application domains, and display the robustness points, weak points, and limitations for AMO. This paper can help and direct the researchers in future works in using AMO in their studies.
    Scopus© Citations 1  16