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  1. Article: The Impact of Authentic Leadership on Innovative Work Behavior: Mediating Roles of Proactive Personality and Employee Engagement.

    Bai, Yina / Wang, Zheng / Alam, Mehboob / Gul, Fozia / Wang, Yiqun

    Frontiers in psychology

    2022  Volume 13, Page(s) 879176

    Abstract: The purpose of the study is to investigate the impact of authentic leadership and proactive personality on innovative work behavior through dual mediation approach. This study applied a judgment sampling technique and data were gathered from 311 high- ... ...

    Abstract The purpose of the study is to investigate the impact of authentic leadership and proactive personality on innovative work behavior through dual mediation approach. This study applied a judgment sampling technique and data were gathered from 311 high-tech manufacturing industries of Shenzhen, China. The measurement model and structural model were tested using structural equation modeling technique through AMOS 24 software. The results indicate that authentic leadership has a positive and significant effect on proactive personality. Meanwhile, findings show that proactive personality has a significant impact on innovative work behavior. Moreover, findings show that proactive personality positively mediates the relationship between authentic leadership and innovative work behavior. Furthermore, findings illustrate that work engagement positively mediates the relationship between proactive personality and innovative work behavior. This study provides insightful and valuable implications to high-tech manufacturing industries executives and regulators interested in organizational productivity.
    Language English
    Publishing date 2022-06-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.879176
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: The Impact of Transformational Leadership on Affective Organizational Commitment and Job Performance: The Mediating Role of Employee Engagement.

    Jiatong, Wang / Wang, Zheng / Alam, Mehboob / Murad, Majid / Gul, Fozia / Gill, Shabeeb Ahmad

    Frontiers in psychology

    2022  Volume 13, Page(s) 831060

    Abstract: This study investigated the impact of transformational leadership on affective organizational commitment and job performance with the mediating role of employee engagement. This study gathered data from 845 hotel employees in China and the structural ... ...

    Abstract This study investigated the impact of transformational leadership on affective organizational commitment and job performance with the mediating role of employee engagement. This study gathered data from 845 hotel employees in China and the structural equation modeling technique was used to verify the results. The findings indicated that transformational leadership has a positive effect on affective organizational commitment and job performance. Meanwhile, results showed that employee engagement partially mediates in the relationship between transformational leadership, affective organizational commitment, and job performance. This study contributes to the research on transformational leadership in the Chinese hospitality sector and analyzes its effects on work performance metrics. Furthermore, theoretical and practical implications were also discussed in this article.
    Language English
    Publishing date 2022-04-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.831060
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Structural Elucidation, Electronic and Microwave Dielectric Properties of Ca(Sn

    Zaman, Abid / Uddin, Sarir / Mehboob, Nasir / Tirth, Vineet / Algahtani, Ali / Abbas, Mujahid / Mushtaq, Muhammad / Ali, Asad / Sultana, Fozia / Althubeiti, Khaled / Ullah, Kamran / Bashir, Khalid / Ullah, Rafi

    ACS omega

    2022  Volume 7, Issue 5, Page(s) 4667–4676

    Abstract: The lead-free Ca( ... ...

    Abstract The lead-free Ca(Sn
    Language English
    Publishing date 2022-01-27
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.1c06918
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Growth and Investigation of Annealing Effects on Ternary Cd

    Bashir, Khalid / Mehboob, Nasir / Ashraf, Muhammad / Zaman, Abid / Sultana, Fozia / Khan, Abdul Faheem / Ali, Asad / Mushtaq, Muhammad / Uddin, Sarir / Althubeiti, Khaled

    Materials (Basel, Switzerland)

    2021  Volume 14, Issue 16

    Abstract: Thin films of ... ...

    Abstract Thin films of Cd
    Language English
    Publishing date 2021-08-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma14164538
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Structural Elucidation, Electronic and Microwave Dielectric Properties of Ca(SnxTi1–x)O3, (0 ≤ x ≤ 0.8) Lead-Free Ceramics

    Abid Zaman / Sarir Uddin / Nasir Mehboob / Vineet Tirth / Ali Algahtani / Mujahid Abbas / Muhammad Mushtaq / Asad Ali / Fozia Sultana / Khaled Althubeiti / Kamran Ullah / Khalid Bashir / Rafi Ullah

    ACS Omega, Vol 7, Iss 5, Pp 4667-

    2022  Volume 4676

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Towards robust diagnosis of COVID-19 using vision self-attention transformer.

    Mehboob, Fozia / Rauf, Abdul / Jiang, Richard / Saudagar, Abdul Khader Jilani / Malik, Khalid Mahmood / Khan, Muhammad Badruddin / Hasnat, Mozaherul Hoque Abdul / AlTameem, Abdullah / AlKhathami, Mohammed

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 8922

    Abstract: The outbreak of COVID-19, since its appearance, has affected about 200 countries and endangered millions of lives. COVID-19 is extremely contagious disease, and it can quickly incapacitate the healthcare systems if infected cases are not handled timely. ... ...

    Abstract The outbreak of COVID-19, since its appearance, has affected about 200 countries and endangered millions of lives. COVID-19 is extremely contagious disease, and it can quickly incapacitate the healthcare systems if infected cases are not handled timely. Several Conventional Neural Networks (CNN) based techniques have been developed to diagnose the COVID-19. These techniques require a large, labelled dataset to train the algorithm fully, but there are not too many labelled datasets. To mitigate this problem and facilitate the diagnosis of COVID-19, we developed a self-attention transformer-based approach having self-attention mechanism using CT slices. The architecture of transformer can exploit the ample unlabelled datasets using pre-training. The paper aims to compare the performances of self-attention transformer-based approach with CNN and Ensemble classifiers for diagnosis of COVID-19 using binary Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and multi-class Hybrid-learning for UnbiaSed predicTion of COVID-19 (HUST-19) CT scan dataset. To perform this comparison, we have tested Deep learning-based classifiers and ensemble classifiers with proposed approach using CT scan images. Proposed approach is more effective in detection of COVID-19 with an accuracy of 99.7% on multi-class HUST-19, whereas 98% on binary class SARS-CoV-2 dataset. Cross corpus evaluation achieves accuracy of 93% by training the model with Hust19 dataset and testing using Brazilian COVID dataset.
    MeSH term(s) Algorithms ; COVID-19/diagnosis ; Humans ; Neural Networks, Computer ; Radiographic Image Interpretation, Computer-Assisted/methods ; SARS-CoV-2
    Language English
    Publishing date 2022-05-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-13039-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Towards robust diagnosis of COVID-19 using vision self-attention transformer

    Fozia Mehboob / Abdul Rauf / Richard Jiang / Abdul Khader Jilani Saudagar / Khalid Mahmood Malik / Muhammad Badruddin Khan / Mozaherul Hoque Abdul Hasnat / Abdullah AlTameem / Mohammed AlKhathami

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 12

    Abstract: Abstract The outbreak of COVID-19, since its appearance, has affected about 200 countries and endangered millions of lives. COVID-19 is extremely contagious disease, and it can quickly incapacitate the healthcare systems if infected cases are not handled ...

    Abstract Abstract The outbreak of COVID-19, since its appearance, has affected about 200 countries and endangered millions of lives. COVID-19 is extremely contagious disease, and it can quickly incapacitate the healthcare systems if infected cases are not handled timely. Several Conventional Neural Networks (CNN) based techniques have been developed to diagnose the COVID-19. These techniques require a large, labelled dataset to train the algorithm fully, but there are not too many labelled datasets. To mitigate this problem and facilitate the diagnosis of COVID-19, we developed a self-attention transformer-based approach having self-attention mechanism using CT slices. The architecture of transformer can exploit the ample unlabelled datasets using pre-training. The paper aims to compare the performances of self-attention transformer-based approach with CNN and Ensemble classifiers for diagnosis of COVID-19 using binary Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and multi-class Hybrid-learning for UnbiaSed predicTion of COVID-19 (HUST-19) CT scan dataset. To perform this comparison, we have tested Deep learning-based classifiers and ensemble classifiers with proposed approach using CT scan images. Proposed approach is more effective in detection of COVID-19 with an accuracy of 99.7% on multi-class HUST-19, whereas 98% on binary class SARS-CoV-2 dataset. Cross corpus evaluation achieves accuracy of 93% by training the model with Hust19 dataset and testing using Brazilian COVID dataset.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  8. Article ; Online: Retraction notice to "Mycoplasma synoviae vaccine modifies virus shedding and immune responses of avian influenza (H9N2) infection in commercial layers" [Poult. Sci. 96 (2017) 3086-3095].

    Umar, Sajid / Tanweer, Muhammad / Iqbal, Mudassar / Shahzad, Asad / Hassan, Farooq / Usman, Muhammad / Sarwar, Fozia / Qadir, Hajra / Asif, Sajjad / Qamar, Un-Nisa / Younus, Muhammad / Ali, Asif / Akbar, Mehboob / Towakal, Farhan / Shah, Muhammad Ali

    Poultry science

    2020  Volume 99, Issue 8, Page(s) R4102

    Abstract: This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). The authors retract the above paper due to: 1) conflict of interest among the authors; and 2) addition of co-author Dr. ... ...

    Abstract This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). The authors retract the above paper due to: 1) conflict of interest among the authors; and 2) addition of co-author Dr. Muhammad Younus without his knowledge or permission. The authors apologize for these two grave mistakes.
    Language English
    Publishing date 2020-07-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.1016/j.psj.2020.07.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  9. Article: Retraction notice to “Mycoplasma synoviae vaccine modifies virus shedding and immune responses of avian influenza (H9N2) infection in commercial layers” [Poult. Sci. 96 (2017) 3086–3095]

    Umar, Sajid / Tanweer, Muhammad / Iqbal, Mudassar / Shahzad, Asad / Hassan, Farooq / Usman, Muhammad / Sarwar, Fozia / Qadir, Hajra / Asif, Sajjad / Qamar, un-Nisa / Younus, Muhammad / Ali, Asif / Akbar, Mehboob / Towakal, Farhan / Shah, Muhammad Ali

    Poultry science. 2020 Aug., v. 99, no. 8

    2020  

    Abstract: This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).The authors retract the above paper due to: 1) conflict of interest among the authors; and 2) addition of co-author Dr. ... ...

    Abstract This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).The authors retract the above paper due to: 1) conflict of interest among the authors; and 2) addition of co-author Dr. Muhammad Younus without his knowledge or permission. The authors apologize for these two grave mistakes.
    Keywords Mycoplasma synoviae ; avian influenza ; immune response ; issues and policy ; poults ; vaccines ; viral shedding
    Language English
    Dates of publication 2020-08
    Size p. R4102.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.1016/j.psj.2020.07.002
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: RETRACTED: Mycoplasma synoviae vaccine modifies virus shedding and immune responses of avian influenza (H9N2) infection in commercial layers.

    Umar, Sajid / Tanweer, Muhammad / Iqbal, Mudassar / Shahzad, Asad / Hassan, Farooq / Usman, Muhammad / Sarwar, Fozia / Qadir, Hajra / Asif, Sajjad / Un-Nisa, Qamar / Younus, Muhammad / Ali, Asif / Akbar, Mehboob / Towakal, Farhan / Shah, Muhammad Ali

    Poultry science

    2017  Volume 96, Issue 9, Page(s) 3086–3095

    MeSH term(s) Animals ; Bacterial Vaccines/administration & dosage ; Chickens ; Female ; Immunity, Innate/drug effects ; Influenza A Virus, H9N2 Subtype/immunology ; Influenza in Birds/immunology ; Mycoplasma synoviae/physiology ; Poultry Diseases/immunology ; Random Allocation ; Virus Replication/drug effects ; Virus Shedding
    Chemical Substances Bacterial Vaccines
    Language English
    Publishing date 2017-08-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.3382/ps/pex149
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 853: Show issues Location:
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