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  1. Article ; Online: The significance of ferrous ion oxidation during corrosion of carbon steel in aerated near-neutral aqueous solutions

    Ke Wang / Hanan Farhat / Mariano Iannuzzi / Katerina Lepkova

    Electrochemistry Communications, Vol 158, Iss , Pp 107637- (2024)

    1481  

    Abstract: Numerical models were developed to investigate the significance of ferrous ion oxidation in carbon steel corrosion in near-neutral aerated aqueous solutions. The results demonstrated that the inclusion of ferrous ion oxidation improved the accuracy of pH ...

    Abstract Numerical models were developed to investigate the significance of ferrous ion oxidation in carbon steel corrosion in near-neutral aerated aqueous solutions. The results demonstrated that the inclusion of ferrous ion oxidation improved the accuracy of pH predictions in deep crevices under cathodic protection and Evan's drop exposure conditions, closely matching experimental observations. The reaction rate for ferrous ion oxidation was found to be between 1 × 1014 and 2 × 1014 (mol/L)-2 atm−1 min−1. These findings highlight the importance of considering ferrous ion oxidation when modelling carbon steel corrosion in near-neutral aerated aqueous solutions.
    Keywords Modelling ; Ferrous ion oxidation ; pH ; Crevice ; Carbon steel ; Industrial electrochemistry ; TP250-261 ; Chemistry ; QD1-999
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Synergistic corrosion effects of magnetite and microorganisms: microbial community dependency.

    Diaz-Mateus, Maria A / Machuca, Laura L / Farhat, Hanan / Salgar-Chaparro, Silvia J

    Applied microbiology and biotechnology

    2024  Volume 108, Issue 1, Page(s) 253

    Abstract: The synergistic corrosion effect of acid-producing bacteria (APB) and magnetite on carbon steel corrosion was assessed using two different microbial consortia. A synergistic corrosion effect was observed exclusively with Consortium 2, which was composed ... ...

    Abstract The synergistic corrosion effect of acid-producing bacteria (APB) and magnetite on carbon steel corrosion was assessed using two different microbial consortia. A synergistic corrosion effect was observed exclusively with Consortium 2, which was composed of Enterobacter sp., Pseudomonas sp., and Tepidibacillus sp. When Consortium 2 was accompanied by magnetite, uniform corrosion and pitting rates were one-time higher (0.094 mm/year and 0.777 mm/year, respectively) than the sum of the individual corrosion rates promoted by the consortium and deposit separately (0.084 and 0.648 mm/year, respectively). The synergistic corrosion effect observed exclusively with Consortium 2 is attributed to its microbial community structure. Consortium 2 exhibited higher microbial diversity that benefited the metabolic status of the community. Although both consortia induced acidification of the test solution and metal surface through glucose fermentation, heightened activity levels of Consortium 2, along with increased surface roughness caused by magnetite, contributed to the distinct synergistic corrosion effect observed with Consortium 2 and magnetite. KEY POINTS: • APB and magnetite have a synergistic corrosion effect on carbon steel. • The microbial composition of APB consortia drives the synergistic corrosion effect. • Magnetite increases carbon steel surface roughness.
    MeSH term(s) Corrosion ; Ferrosoferric Oxide ; Microbiota ; Carbon ; Steel
    Chemical Substances Ferrosoferric Oxide (XM0M87F357) ; Carbon (7440-44-0) ; Steel (12597-69-2)
    Language English
    Publishing date 2024-03-05
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 392453-1
    ISSN 1432-0614 ; 0171-1741 ; 0175-7598
    ISSN (online) 1432-0614
    ISSN 0171-1741 ; 0175-7598
    DOI 10.1007/s00253-024-13086-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Effect of deposit chemistry on microbial community structure and activity: Implications for under-deposit microbial corrosion.

    Diaz-Mateus, Maria A / Salgar-Chaparro, Silvia J / Machuca, Laura L / Farhat, Hanan

    Frontiers in microbiology

    2023  Volume 14, Page(s) 1089649

    Abstract: Introduction: The deposition of solid particles carried by production fluids from oil and gas companies in horizontal surfaces of different assets has shown to cause severe localised corrosion. Sand, one of the most common deposits in the energy sector ... ...

    Abstract Introduction: The deposition of solid particles carried by production fluids from oil and gas companies in horizontal surfaces of different assets has shown to cause severe localised corrosion. Sand, one of the most common deposits in the energy sector pipelines, is frequently mixed with crude, oil, asphaltenes, corrosion inhibitors, and other organic compounds. For this reason, they might favour the metabolic activity of native microbial communities. This study aimed to determine the impact of sand-deposit chemical composition on the microbial community structure and functional attributes of a multispecies consortium recovered from an oilfield and the resulting risk of under-deposit microbial corrosion of carbon steel.
    Methods: Sand deposits recovered from an oil pipeline were used in their raw form and compared against the same deposits exposed to heat treatment to remove organic compounds. A four-week immersion test in a bioreactor filled with synthetic produced water and a two-centimeter layer of sand was set up to assess corrosion and microbial community changes.
    Results: The raw untreated deposit from the field containing hydrocarbons and treatment chemicals resulted in a more diverse microbial community than its treated counterpart. Moreover, biofilms developed in the raw sand deposit exhibited higher metabolic rates, with functional profile analysis indicating a predominance of genes associated with xenobiotics degradation. Uniform and localized corrosion were more severe in the raw sand deposit compared to the treated sand.
    Discussion: The complex chemical composition of the untreated sand might have represented an additional source of energy and nutrients to the microbial consortium, favoring the development of different microbial genera and species. The higher corrosion rate obtained under the untreated sand suggests that MIC occurred due to syntrophic relationships between sulphate reducers or thiosulphate reducers and fermenters identified in the consortium.
    Language English
    Publishing date 2023-02-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1089649
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19.

    Farhat, Hanan / Sakr, George E / Kilany, Rima

    Machine vision and applications

    2020  Volume 31, Issue 6, Page(s) 53

    Abstract: Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend. Likewise, deep learning applications (DL) on pulmonary medical images emerged to ...

    Abstract Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend. Likewise, deep learning applications (DL) on pulmonary medical images emerged to achieve remarkable advances leading to promising clinical trials. Yet, coronavirus can be the real trigger to open the route for fast integration of DL in hospitals and medical centers. This paper reviews the development of deep learning applications in medical image analysis targeting pulmonary imaging and giving insights of contributions to COVID-19. It covers more than 160 contributions and surveys in this field, all issued between February 2017 and May 2020 inclusively, highlighting various deep learning tasks such as classification, segmentation, and detection, as well as different pulmonary pathologies like airway diseases, lung cancer, COVID-19 and other infections. It summarizes and discusses the current state-of-the-art approaches in this research domain, highlighting the challenges, especially with COVID-19 pandemic current situation.
    Keywords covid19
    Language English
    Publishing date 2020-07-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1481698-2
    ISSN 1432-1769 ; 0932-8092
    ISSN (online) 1432-1769
    ISSN 0932-8092
    DOI 10.1007/s00138-020-01101-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Factors and scenarios influencing Arab Americans' preference for male versus female physicians.

    Ayyash, Mariam / Ayyash, Marwa / Hassan, Zakaa / Farhat, Ali / Rakine, Hanan / Blackwood, R Alexander

    Journal of the National Medical Association

    2022  Volume 114, Issue 2, Page(s) 199–206

    Abstract: As the Arab American community sees an increase in female physicians, knowledge of patients' perceptions is necessary to foster the physician-patient relationship. The objective of this study was to better understand physician gender preference among ... ...

    Abstract As the Arab American community sees an increase in female physicians, knowledge of patients' perceptions is necessary to foster the physician-patient relationship. The objective of this study was to better understand physician gender preference among Arab Americans when given a range of selected medical scenarios. An anonymous survey was distributed electronically through social media. The survey elicited gender preferences of Arab Americans given different scenarios. Data was collected from 325 participants. No physician gender preference was noted for 6 out of 7 scenarios with the exception for sensitive medical issues. Same-sex gender preference was noted in the cases of sensitive medical issues, routine medical visits, medical emergencies, and minor medical procedures. Predominant visitations to male physicians across specialties was found. The current study shows that although most Arab Americans expressed no preference for physician gender, the majority currently visit male physicians. The study highlights similarities to other populations in terms of same-sex physician gender preference when it comes to patient choices. Our study shows, however, that physicians' experience and empathy were leading criteria as opposed to gender or Arab identity when it came to physician selection by Arab American patients.
    MeSH term(s) Arabs ; Female ; Humans ; Male ; Physician-Patient Relations ; Physicians ; Physicians, Women ; United States ; Whites
    Language English
    Publishing date 2022-01-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 419737-9
    ISSN 1943-4693 ; 0027-9684
    ISSN (online) 1943-4693
    ISSN 0027-9684
    DOI 10.1016/j.jnma.2021.12.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Deep learning applications in pulmonary medical imaging

    Farhat, Hanan / Sakr, George E. / Kilany, Rima

    Machine Vision and Applications

    recent updates and insights on COVID-19

    2020  Volume 31, Issue 6

    Keywords Hardware and Architecture ; Software ; Computer Vision and Pattern Recognition ; Computer Science Applications ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 1481698-2
    ISSN 1432-1769 ; 0932-8092
    ISSN (online) 1432-1769
    ISSN 0932-8092
    DOI 10.1007/s00138-020-01101-5
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19

    Farhat, Hanan / Sakr, George E. / Kilany, Rima

    Mach Vision Appl

    Abstract: Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend. Likewise, deep learning applications (DL) on pulmonary medical images emerged to ...

    Abstract Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend. Likewise, deep learning applications (DL) on pulmonary medical images emerged to achieve remarkable advances leading to promising clinical trials. Yet, coronavirus can be the real trigger to open the route for fast integration of DL in hospitals and medical centers. This paper reviews the development of deep learning applications in medical image analysis targeting pulmonary imaging and giving insights of contributions to COVID-19. It covers more than 160 contributions and surveys in this field, all issued between February 2017 and May 2020 inclusively, highlighting various deep learning tasks such as classification, segmentation, and detection, as well as different pulmonary pathologies like airway diseases, lung cancer, COVID-19 and other infections. It summarizes and discusses the current state-of-the-art approaches in this research domain, highlighting the challenges, especially with COVID-19 pandemic current situation.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #680466
    Database COVID19

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  8. Article ; Online: Using One Health assessments to leverage endemic disease frameworks for emerging zoonotic disease threats in Libya.

    Miller, Lauren N / Elmselati, Hatem / Fogarty, Alanna S / Farhat, Milad E / Standley, Claire J / Abuabaid, Hanan M / Zorgani, Abdulaziz / Elahmer, Omar / Sorrell, Erin M

    PLOS global public health

    2023  Volume 3, Issue 7, Page(s) e0002005

    Abstract: Continued emergence, re-emergence and spread of zoonotic diseases demonstrates the imperative need for multisectoral communication and joint coordination of disease detection and response. While there are existing international frameworks underpinning ... ...

    Abstract Continued emergence, re-emergence and spread of zoonotic diseases demonstrates the imperative need for multisectoral communication and joint coordination of disease detection and response. While there are existing international frameworks underpinning One Health capacity building for pandemic prevention and response, often guidance does not account for challenges faced by countries undergoing long-term conflict and sociopolitical instability. The purpose of this research was to identify Libya's laboratory and surveillance networks and routes of inter- and multisectoral communication and coordination for priority zoonotic diseases. The One Health Systems Assessment for Priority Zoonoses (OH-SAPZ) tool is an established methodology that was adapted and applied to the Libyan context to support prioritization of zoonotic diseases, development of systems map schematics outlining networks of communication and coordination, and analysis of operations for targeted capacity building efforts. Five zoonotic diseases were selected to undergo assessment: highly pathogenic avian influenza, brucellosis, Rift Valley fever, leishmaniasis and rabies. Through decisive acknowledgement of Libya's unique health setting, we mapped how patient and sample information is both communicated within and between the human, animal and environmental health sectors, spanning from local index case identification to international notification. Through our assessment we found strong communication within the public and animal health sectors, as well as existing multisectoral coordination on zoonotic disease response. However, local-level communication between the sectors is currently lacking. Due to the ongoing conflict, resources (financial and human) and access have been severely impacted, resulting in limited laboratory diagnostic capacity and discontinued disease prevention and control measures. We sought to identify opportunities to leverage existing operations for endemic diseases like brucellosis for emerging zoonotic threats, such as Rift Valley fever. Analysis of these operations and capabilities supports the development of targeted recommendations that address gaps and may be used as an implementation guide for future One Health capacity building efforts.
    Language English
    Publishing date 2023-07-26
    Publishing country United States
    Document type Journal Article
    ISSN 2767-3375
    ISSN (online) 2767-3375
    DOI 10.1371/journal.pgph.0002005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Ethyl coumarin-3-carboxylate

    Bakr F. Abdel-Wahab / Hanan A. Mohamed / Abdelbasset A. Farhat

    Organic Communications, Vol 7, Iss 1, Pp 1-

    synthesis and chemical properties

    2014  Volume 27

    Abstract: Ethyl coumarin-3-carboxylate occupies an important position in the organic synthesis and is used in production of biologically active compounds. Thus, the data published over the last few years on the methods of synthesis and chemical properties of ethyl ...

    Abstract Ethyl coumarin-3-carboxylate occupies an important position in the organic synthesis and is used in production of biologically active compounds. Thus, the data published over the last few years on the methods of synthesis and chemical properties of ethyl coumarin-3-carboxylate are reviewed here for the first time. The reactions were classified as coumarin ring reactions and ester group reactions, and some of these reactions have been applied successfully to the synthesis of biologically and industrially important compounds.
    Keywords Ethyl coumarin-3-carboxylate ; synthesis ; chemistry ; Organic chemistry ; QD241-441
    Language English
    Publishing date 2014-03-01T00:00:00Z
    Publisher ACG Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Validation of the Arabic Version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale.

    Khalil, Hanan / Aldaajani, Zakiyah F / Aldughmi, Mayis / Al-Sharman, Alham / Mohammad, Tareq / Mehanna, Raja / El-Jaafary, Shaimaa I / Dahshan, Ahmed / Ben Djebara, Mouna / Kamel, Walaa A / Amer, Hanan A / Farghal, Mohammed / Abdulla, Fatema / Al-Talai, Nouf / Snineh, Muneer Abu / Farhat, Nouha / Jamali, Fatima A / Matar, Rawan K / Abdelraheem, Heba S /
    Ghonimi, Nesma A M / Al-Melh, Mishal Abu / Elbhrawy, Sonia / Alotaibi, Majid S / Elaidy, Shaimaa A / Almuammar, Shahad A / Al-Hashel, Jasem Y / Gouider, Riadh / Samir, Hatem / Mhiri, Chokri / Skorvanek, Matej / Lin, Jeffrey / Martinez-Martin, Pablo / Stebbins, Glenn T / Luo, Sheng / Goetz, Christopher G / Bajwa, Jawad A

    Movement disorders : official journal of the Movement Disorder Society

    2022  Volume 37, Issue 4, Page(s) 826–841

    Abstract: Background: The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has become the gold standard for evaluating different domains in Parkinson's disease (PD), and it is commonly used in clinical practice, research, and ... ...

    Abstract Background: The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has become the gold standard for evaluating different domains in Parkinson's disease (PD), and it is commonly used in clinical practice, research, and clinical trials.
    Objectives: The objectives are to validate the Arabic-translated version of the MDS-UPDRS and to assess its factor structure compared with the English version.
    Methods: The study was carried out in three phases: first, the English version of the MDS-UPDRS was translated into Arabic and subsequently back-translated into English by independent translation team; second, cognitive pretesting of selected items was performed; third, the Arabic version was tested in over 400 native Arabic-speaking PD patients. The psychometric properties of the translated version were analyzed using confirmatory factor analysis (CFA) as well as exploratory factor analysis (EFA).
    Results: The factor structure of the Arabic version was consistent with that of the English version based on the high CFIs for all four parts of the MDS-UPDRS in the CFA (CFI ≥0.90), confirming its suitability for use in Arabic.
    Conclusions: The Arabic version of the MDS-UPDRS has good construct validity in Arabic-speaking patients with PD and has been thereby designated as an official MDS-UPDRS version. The data collection methodology among Arabic-speaking countries across two continents of Asia and Africa provides a roadmap for validating additional MDS rating scale initiatives and is strong evidence that underserved regions can be energically mobilized to promote efforts that apply to better clinical care, education, and research for PD. © 2022 International Parkinson and Movement Disorder Society.
    MeSH term(s) Factor Analysis, Statistical ; Humans ; Mental Status and Dementia Tests ; Parkinson Disease/diagnosis ; Parkinson Disease/psychology ; Severity of Illness Index ; Societies, Medical
    Language English
    Publishing date 2022-02-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 607633-6
    ISSN 1531-8257 ; 0885-3185
    ISSN (online) 1531-8257
    ISSN 0885-3185
    DOI 10.1002/mds.28905
    Database MEDical Literature Analysis and Retrieval System OnLINE

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