618 research outputs found

    Supplement: Directory of Egyptian Environmental Non-Governmental Organizations

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    [abstract not provided]https://fount.aucegypt.edu/faculty_book_chapters/1945/thumbnail.jp

    The Politics behind Egypt\u27s New Environmental Law

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    [abstract not provided]https://fount.aucegypt.edu/faculty_book_chapters/1942/thumbnail.jp

    Environmental Politics in Egypt

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    [abstract not provided]https://fount.aucegypt.edu/faculty_book_chapters/1917/thumbnail.jp

    Introduction (Environmental Threats in Egypt: Perceptions and Actions)

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    [abstract not provided]https://fount.aucegypt.edu/faculty_book_chapters/1937/thumbnail.jp

    A Comparative Performance Analysis of Two Printed Circular Arrays for Power-Based Vehicle Localization Applications

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    A comparative study of the performance characteristics of a printed 8-element V-shaped circular antenna array and an 8-element Yagi circular array operating at 2.45 GHz for vehicular direction finding applications is presented. Two operating modes are investigated; switched and phased modes. The arrays were fabricated on FR-4 substrates with 0.8 mm thickness. Measured and simulated results were compared. Radiation gain patterns were measured on a 1 m diameter ground plane that resembles the rooftop of a vehicle. The HPBW of the Yagi was found to be about 3° narrower than its V-shaped counterpart when measured above a reflecting ground plane and operated in switched mode. The printed V-shaped antenna array offers 2.5 dB extra gain compared to the printed Yagi array

    The Effect of Isolated Bacteria against Adult Stages of Periplaneta americana (Blattodea: Blattidae) and Aedes aegypti (Diptera: Culicidae) using Spraying Methods as a Biological Control

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    Medical entomology involves the study of medically important insects, such as cockroaches and mosquitoes, which have a dangerous role as transmitters for deadly diseases, such as Malaria, Leishmaniasis, and Dengue fever, which are responsible for many deaths among humans. Huge concern about the use of chemicals insecticides encourages the development of alternative methods for insect control, and due to the harmful effects of these chemicals, new strategies are being developed to replace or reduce the use of synthesized insecticides. Therefore, chitinolytic enzymes produced by microorganisms have a significant effect as biocontrol agents and will be more critical than synthetic pesticides for control. This study was primarily aimed to study the impact of various isolated bacteria using chitinolytic and spraying assays against adult stages of Periplaneta americana and Aedes aegypti as biological controls. Eight species of bacteria were isolated, and only Chryseomonas luteola was used against adult insects because of its high chitinolytic activity by spraying assay. Our results showed that the LC50 values of C. luteola against P. americana were 22.04% and 17.21% after 24 and 48 h, respectively. For A. aegypti adult stages, LC50 values of C. luteola were 2.78% and 2.12% after 24 and 48 h, respectively. Based on the results of this investigation, it is reasonable to say that using microbial insecticides may be an effective strategy to control the adult stages of P. americana and A. aegypti

    Task Scheduling Approach in Cloud Computing Environment Using Hybrid Differential Evolution

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    Task scheduling is one of the most significant challenges in the cloud computing environment and has attracted the attention of various researchers over the last decades, in order to achieve cost-effective execution and improve resource utilization. The challenge of task scheduling is categorized as a nondeterministic polynomial time (NP)-hard problem, which cannot be tackled with the classical methods, due to their inability to find a near-optimal solution within a reasonable time. Therefore, metaheuristic algorithms have recently been employed to overcome this problem, but these algorithms still suffer from falling into a local minima and from a low convergence speed. Therefore, in this study, a new task scheduler, known as hybrid differential evolution (HDE), is presented as a solution to the challenge of task scheduling in the cloud computing environment. This scheduler is based on two proposed enhancements to the traditional differential evolution. The first improvement is based on improving the scaling factor, to include numerical values generated dynamically and based on the current iteration, in order to improve both the exploration and exploitation operators; the second improvement is intended to improve the exploitation operator of the classical DE, in order to achieve better results in fewer iterations. Multiple tests utilizing randomly generated datasets and the CloudSim simulator were conducted, to demonstrate the efficacy of HDE. In addition, HDE was compared to a variety of heuristic and metaheuristic algorithms, including the slime mold algorithm (SMA), equilibrium optimizer (EO), sine cosine algorithm (SCA), whale optimization algorithm (WOA), grey wolf optimizer (GWO), classical DE, first come first served (FCFS), round robin (RR) algorithm, and shortest job first (SJF) scheduler. During trials, makespan and total execution time values were acquired for various task sizes, ranging from 100 to 3000. Compared to the other metaheuristic and heuristic algorithms considered, the results of the studies indicated that HDE generated superior outcomes. Consequently, HDE was found to be the most efficient metaheuristic scheduling algorithm among the numerous methods researched
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