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  1. Article ; Online: Solar desalination/purification (solar stills, humidification-dehumidification, solar disinfection) in high altitude during COVID19: Insights of gastrointestinal manifestations and systems' mechanism.

    Parsa, Seyed Masoud / Norozpour, Fatemeh / Elsheikh, Ammar H / Kabeel, A E

    Journal of hazardous materials advances

    2023  Volume 10, Page(s) 100259

    Abstract: From the starting of the pandemic different transmission routes of the pathogen was brought into the spotlight by researchers from different disciplines. This matter in high-altitudes was more boosted as the main parameters were not exactly realized. In ... ...

    Abstract From the starting of the pandemic different transmission routes of the pathogen was brought into the spotlight by researchers from different disciplines. This matter in high-altitudes was more boosted as the main parameters were not exactly realized. In this review we are about to highlight the possibility of consuming contaminated water generated form solar water desalination/disinfection systems in highlands. Three systems including solar still, solar disinfection (which experimented by the authors in 2019 in high altitude) and humidification-dehumidification were consider in this context. Ascribe to the risks of pathogens transmission in solar desalination/disinfection systems where the water resources are heavily polluted in every corner of the world, highlighting the risk of consuming water in high-altitude where there are many other parameters associated with spread of pathogen is of great importance. As it was reported, reliability of solar desalination and solar water disinfections systems against contaminated water by the novel coronavirus remained on the question because the virus can be transmitted by vapor in solar stills due to tiny particle size (60-140 nm) and would not be killed by solar disinfections due to low-temperature of operation <40 °C while for HDH contamination of both water and air by sars-cov-2 could be a concern. Although the SARS-CoV-2 is not a waterborne pathogen, its capability to replicate in stomach and infection of gastrointestinal glandular suggested the potential of transmission
    Language English
    Publishing date 2023-02-14
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2772-4166
    ISSN (online) 2772-4166
    DOI 10.1016/j.hazadv.2023.100259
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks.

    Saba, Amal I / Elsheikh, Ammar H

    Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B

    2020  Volume 141, Page(s) 1–8

    Abstract: SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections in late 2019. COVID-19 has been officially declared as a universal pandemic by the World Health Organization (WHO). The epidemiological characteristics of COVID-2019 have ... ...

    Abstract SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections in late 2019. COVID-19 has been officially declared as a universal pandemic by the World Health Organization (WHO). The epidemiological characteristics of COVID-2019 have not been completely understood yet. More than 200,000 persons were killed during this epidemic (till 1 May 2020). Therefore, developing forecasting models to predict the spread of that epidemic is a critical issue. In this study, statistical and artificial intelligence based approaches have been proposed to model and forecast the prevalence of this epidemic in Egypt. These approaches are autoregressive integrated moving average (ARIMA) and nonlinear autoregressive artificial neural networks (NARANN). The official data reported by The Egyptian Ministry of Health and Population of COVID-19 cases in the period between 1 March and 10 May 2020 was used to train the models. The forecasted cases showed a good agreement with officially reported cases. The obtained results of this study may help the Egyptian decision-makers to put short-term future plans to face this epidemic.
    Keywords covid19
    Language English
    Publishing date 2020-05-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2008004-9
    ISSN 0957-5820
    ISSN 0957-5820
    DOI 10.1016/j.psep.2020.05.029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The effect of TaC and NbC hybrid and mono-nanoparticles on AA2024 nanocomposites

    Moustafa Essam B. / Elsheikh Ammar H. / Taha Mohammed A.

    Nanotechnology Reviews, Vol 11, Iss 1, Pp 2513-

    Microstructure, strengthening, and artificial aging

    2022  Volume 2525

    Abstract: The present work successfully incorporated the composite surface matrices of tantalum carbide (TaC) and niobium carbide (NbC) hybrids and mono-nanoparticles into wrought AA2024 using friction stir processing (FSP). The mechanical, electrical, and ... ...

    Abstract The present work successfully incorporated the composite surface matrices of tantalum carbide (TaC) and niobium carbide (NbC) hybrids and mono-nanoparticles into wrought AA2024 using friction stir processing (FSP). The mechanical, electrical, and microstructural properties were analyzed and evaluated. The microstructure of the refined grains created during the FSP process was observed using polarized optical microscopy. Elongated grains were refined and equiaxed 33 times. Scanning electron microscopy and energy-dispersive X-ray spectroscopy analyses showed good dispersion of the reinforcement nanoparticles in the base matrix. The mechanical properties of the hybrid AA2024/TaC_NbC nanocomposites, thus, the ultimate compressive stress showed an improvement of about 15.2, 16.7, and 20.6%, respectively, compared to the base alloy. Aging time significantly affected the hardness behavior of the hybrid nanocomposites; hence, a maximum value of 73% was reached compared to the base alloy. At the same time, the thermal expansion coefficient and electrical conductivity were reduced by 38.5 and 19.5%, respectively.
    Keywords hybrid ; aa2024 ; nanocomposite ; mechanical ; electrical conductivity ; microhardness ; artificial aging ; Technology ; T ; Chemical technology ; TP1-1185 ; Physical and theoretical chemistry ; QD450-801
    Subject code 669
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher De Gruyter
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks

    Saba, Amal I. / Elsheikh, Ammar H.

    Process Safety and Environmental Protection

    2020  Volume 141, Page(s) 1–8

    Keywords Environmental Engineering ; General Chemical Engineering ; Safety, Risk, Reliability and Quality ; Environmental Chemistry ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2008004-9
    ISSN 0957-5820
    ISSN 0957-5820
    DOI 10.1016/j.psep.2020.05.029
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: A biological sub-sequences detection using integrated BA-PSO based on infection propagation mechanism: Case study COVID-19.

    Issa, Mohamed / Helmi, Ahmed M / Elsheikh, Ammar H / Abd Elaziz, Mohamed

    Expert systems with applications

    2021  Volume 189, Page(s) 116063

    Abstract: The longest common consecutive subsequences (LCCS) play a vital role in revealing the biological relationships between DNA/RNA sequences especially the newly discovered ones such as COVID-19. FLAT is a Fragmented local aligner technique which is an ... ...

    Abstract The longest common consecutive subsequences (LCCS) play a vital role in revealing the biological relationships between DNA/RNA sequences especially the newly discovered ones such as COVID-19. FLAT is a Fragmented local aligner technique which is an accelerated version of the local pairwise sequence alignment algorithm based on
    Language English
    Publishing date 2021-10-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2017237-0
    ISSN 0957-4174
    ISSN 0957-4174
    DOI 10.1016/j.eswa.2021.116063
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Applications of Heat Exchanger in Solar Desalination: Current Issues and Future Challenges

    Elsheikh, Ammar H. / Panchal, Hitesh N. / Sengottain, Shanmugan / A. Alsaleh, Naser / Ahmadein, Mahmoud

    Water. 2022 Mar. 09, v. 14, no. 6

    2022  

    Abstract: Solar desalination is a process to convert saline water into potable water by the application of solar energy. The enhancement of the distillate output of the solar desalination is low, so it is not considered as a method to produce potable water. A heat ...

    Abstract Solar desalination is a process to convert saline water into potable water by the application of solar energy. The enhancement of the distillate output of the solar desalination is low, so it is not considered as a method to produce potable water. A heat exchanger is an important device used for heat transfer applications. The present review article illustrates the application of a heat exchanger with a solar desalination system to enhance the distillate output. In the current review, it is found that the heat exchanger is an important device to improve the distillate productivity of the solar desalination system. Finally, the future work and future challenges of using a heat exchanger with a solar desalination system are presented.
    Keywords desalination ; drinking water ; heat exchangers ; heat transfer ; saline water ; solar energy
    Language English
    Dates of publication 2022-0309
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2521238-2
    ISSN 2073-4441
    ISSN 2073-4441
    DOI 10.3390/w14060852
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Optimization of Abrasive Water Jet Machining of SiC Reinforced Aluminum Alloy Based Metal Matrix Composites Using Taguchi-DEAR Technique.

    Thangaraj, Muthuramalingam / Ahmadein, Mahmoud / Alsaleh, Naser A / Elsheikh, Ammar H

    Materials (Basel, Switzerland)

    2021  Volume 14, Issue 21

    Abstract: Since the importance of introducing new engineering materials is increasing, the need for machining such higher strength materials has also considerably increased. In the present research, an endeavor was made to introduce a Taguchi-DEAR methodology for ... ...

    Abstract Since the importance of introducing new engineering materials is increasing, the need for machining such higher strength materials has also considerably increased. In the present research, an endeavor was made to introduce a Taguchi-DEAR methodology for the abrasive water-jet machining process, while machining a SiC-reinforced aluminum composite. Material removal rate, taper angle, and surface roughness were considered as the quality measures. The optimal arrangement of input process factors in the AWJM process was found to be 2800 bar (WP), 400 mg/min (AF), 1000 mm/min (FR), and 4 mm (SOD), among the chosen factors, with an error accuracy of 0.8%. The gas pressure had the most significance for formulating the performance measures, owing to its ability to modify the impact energy and crater size of the machined specimen.
    Language English
    Publishing date 2021-10-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma14216250
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks

    Saba, Amal I / Elsheikh, Ammar H

    Process Saf Environ Prot

    Abstract: SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections in late 2019. COVID-19 has been officially declared as a universal pandemic by the World Health Organization (WHO). The epidemiological characteristics of COVID-2019 have ... ...

    Abstract SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections in late 2019. COVID-19 has been officially declared as a universal pandemic by the World Health Organization (WHO). The epidemiological characteristics of COVID-2019 have not been completely understood yet. More than 200,000 persons were killed during this epidemic (till 1 May 2020). Therefore, developing forecasting models to predict the spread of that epidemic is a critical issue. In this study, statistical and artificial intelligence based approaches have been proposed to model and forecast the prevalence of this epidemic in Egypt. These approaches are autoregressive integrated moving average (ARIMA) and nonlinear autoregressive artificial neural networks (NARANN). The official data reported by The Egyptian Ministry of Health and Population of COVID-19 cases in the period between 1 March and 10 May 2020 was used to train the models. The forecasted cases showed a good agreement with officially reported cases. The obtained results of this study may help the Egyptian decision-makers to put short-term future plans to face this epidemic.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #324252
    Database COVID19

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  9. Article: Microstructure, Mechanical Characteristics, and Wear Performance of Spark Plasma Sintered TiB

    Ramesh, Balasubramanian / Showman, Essmat / Abraar, S A Muhammed / Saxena, Kuldeep Kumar / Tharwan, Mohammed Y / Alsaadi, Naif / Al Sofyani, Sharaf / Elsheikh, Ammar H

    Materials (Basel, Switzerland)

    2022  Volume 15, Issue 20

    Abstract: This study aims to analyze the effect of boron nitride ( ... ...

    Abstract This study aims to analyze the effect of boron nitride (B
    Language English
    Publishing date 2022-10-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15207096
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview.

    Elsheikh, Ammar H / Saba, Amal I / Panchal, Hitesh / Shanmugan, Sengottaiyan / Alsaleh, Naser A / Ahmadein, Mahmoud

    Healthcare (Basel, Switzerland)

    2021  Volume 9, Issue 12

    Abstract: Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy ... ...

    Abstract Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This study presents a review on the applications of different AI approaches used in forecasting the spread of this pandemic. The fundamentals of the commonly used AI approaches in this context are briefly explained. Evaluation of the forecasting accuracy using different statistical measures is introduced. This review may assist researchers, experts and policy makers involved in managing the COVID-19 pandemic to develop more accurate forecasting models and enhanced strategies to control the spread of this pandemic. Additionally, this review study is highly significant as it provides more important information of AI applications in forecasting the prevalence of this pandemic.
    Language English
    Publishing date 2021-11-23
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare9121614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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