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                  <text>Dominio científico: Coronavirus</text>
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                <text>Adaptive Managers as Emerging Leaders During the COVID-19 Crisis</text>
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                <text>Abdulah Bajaba, Saleh Bajaba, Mohammad Algarni, Abdulrahman Basahal, Sarah Basahel</text>
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                <text>The coronavirus disease 2019 (COVID-19) has taken the world by surprise and has impacted the lives of many, including the business sector and its stakeholders. Although studies investigating the impact of COVID-19 on the organizational structure, job design, and employee well-being have been on the rise, fewer studies examined the role of leadership and what it takes to be an effective leader during such times. This study integrates social cognitive theory and conservation of resources theory to argue for the importance of adaptive personality in the emergence of effective leaders during crisis times, utilizing the crisis of COVID-19 as the context for the study. We argue that managers with an adaptive personality tend to have increased self-efficacy levels to lead during a crisis, resulting in increased motivation to lead during the COVID-19 crisis. Furthermore, managers with increased motivation to lead during the COVID-19 crisis are argued to have enhanced adaptive performance, thereby suggesting a serial mediation model where crisis leader self-efficacy and motivation to lead during the COVID-19 crisis act as explanatory mechanisms of the relationship between the adaptive personality and performance of the manager. In order to test our hypotheses, we collected data from 116 full-time managers in Saudi Arabia during the COVID-19 crisis and used hierarchical linear regression as the method of analysis. The findings support all of the hypotheses. A discussion of the results, contributions, limitations, and future directions is included.</text>
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                <text>2021</text>
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                <text>covid-19, motivation, Self-Efficacy, adaptive performance, adaptive personality</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Psychology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Surveillance and Testing for Middle East Respiratory Syndrome Coronavirus, Saudi Arabia, April 2015–February 2016</text>
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                <text>Abdulaziz A. Bin Saeed, Glen R. Abedi, Abdullah G. Alzahrani, Iyad Salameh, Fatima Abdirizak, Raafat Alhakeem, Homoud Algarni, Osman A. El Nil, Mutaz Mohammed, Abdullah M. Assiri, Hail M. Al-Abdely, John T. Watson, Susan I. Gerber</text>
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                <text>Saudi Arabia has reported &gt;80% of the Middle East respiratory syndrome coronavirus (MERS-CoV) cases worldwide. During April 2015–February 2016, Saudi Arabia identified and tested 57,363 persons (18.4/10,000 residents) with suspected MERS-CoV infection; 384 (0.7%) tested positive. Robust, extensive, and timely surveillance is critical for limiting virus transmission.</text>
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                <text>2017</text>
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                <text>Surveillance, Testing, Respiratory Infections, Middle East respiratory syndrome coronavirus, MERS-CoV, Saudi Arabia</text>
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                <text>DOI: 10.3201/eid2304.161793</text>
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                <text>Centers for Disease Control and Prevention</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Impact of COVID-19 lockdown upon the air quality and surface urban heat island intensity over the United Arab Emirates.</text>
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                <text>Abduldaem S Alqasemi, Mohamed E Hereher, Gordana Kaplan, Ayad M Fadhil Al-Quraishi, Hakim Saibi</text>
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                <text>The 2019 pandemic of Severe Acute Respiratory Syndrome-Corona Virus Diseases (COVID-19) has posed a substantial threat to public health and major global economic losses. The Northern Emirates of the United Arab Emirates (NEUAE) had imposed intense preventive lockdown measures. On the first of April 2020, a lockdown was implemented. It was assumed, due to lower emissions, that the air quality and Surface Urban Heat Island Intensity (SUHII) had been strengthened significantly. In this research, three parameters for Nitrogen Dioxide (NO2), Aerosol Optical Depth (AOD), and SUHII variables were examined through the NEUAE. we evaluated the percentage of the change in these parameters as revealed by satellite data for 2 cycles in 2019 (March 1st to June 30th) and 2020 (March 1st to June 30th). The core results showed that during lockdown periods, the average of NO2, AOD, and SUHII levels declined by 23.7%, 3.7%, and 19.2%, respectively, compared to the same period in 2019. Validation for results demonstrates a high agreement between the predicted and measured values. The agreement was as high as R2=0.7, R2=0.6, and R2=0.68 for NO2, AOD, and night LST, respectively, indicating significant positive linear correlations. The current study concludes that due to declining automobile and industrial emissions in the NEUAE, the lockdown initiatives substantially lowered NO2, AOD, and SUHII. In addition, the aerosols did not alter significantly since they are often linked to the natural occurrence of dust storms throughout this time of the year. The pandemic is likely to influence several policy decisions to introduce strategies to control air pollution and SUHII. Lockdown experiences may theoretically play a key role in the future as a possible solution for air pollution and SUHII abatement.</text>
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                <text>2021</text>
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                <text>covid-19, lockdown, NO2, AOD, Northern emirates, SUHII</text>
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                <text>10.1016/j.scitotenv.2020.144330</text>
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                <text>The Science of the total environment</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Covid-19 Pandemisinin Seçilmiş Borsa Endeksleri Üzerine Etkisinin İncelenmesi</text>
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                <text>Abdulkadir Barut, Ceyda Yerdelen Kaygın</text>
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            <description>An account of the resource</description>
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                <text>2019 yılının sonlarında Çin’in Wuhan şehrinde görülen ve tüm dünyaya yayılarak küresel bir sorun haline gelen ölümcül ve bulaşıcı özelliğe sahip Covid-19 hastalığının bireyleri, ülkeleri ve dünya ekonomisini olumsuz yönde etkileyeceği tahmin edilmektedir. Bu çalışmada Covid-19’un finansal piyasalara etkisini incelemek amacıyla vakaların ülkelerde ilk görülmeye başladığı tarihten 08.04.2020 tarihine kadar toplam vaka sayısı ve toplam ölüm sayısına göre hastalığın en fazla görüldüğü 11 ülke incelenmiştir. Covid-19 toplam vaka sayısı ile 11 ülkenin en önemli endekslerinin kapanış fiyatları arasındaki ilişki belirlemek için Bayer ve Hanck (2012) eşbütünleşme analizi kullanılmıştır. Araştırma; Çin (Shangai), ABD (DOW 30), İngiltere (FTSE 100), İtalya (FTSE MIB), İspanya (IBEX 35), Almanya (DAX), Fransa (CAC 40), Belçika (BEL 20), Hollanda (AEX), İsviçre (SMI) ve Türkiye (BIST 100) endekslerinden oluşmaktadır. Analiz sonucunda Covid-19 toplam vaka sayısı ile BİST100,  FTSE MIB, IBEX35, AEX ve Shangai endeksleri arasında eşbütünleşme olduğu, DAX, CAC 40, BEL 20, SMI, FTSE 100 ve DOW 30 endeksleri arasında ise eşbütünleşme olmadığı tespit edilmiştir.</text>
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                <text>covid-19, cointegration analysis, Eşbütünleşme analizi, share prices, Hisse Senedi Fiyatları</text>
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                <text>Social sciences (General), Social Sciences</text>
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                <text>Understanding the molecular machinery involved in transcriptional regulation is central to improving our knowledge of an organism's development, disease, and evolution. The building blocks of this complex molecular machinery are an organism's genomic DNA sequence and transcription factor proteins. Despite the vast amount of sequence data now available for many model organisms, predicting where transcription factors bind, often referred to as 'motif detection' is still incredibly challenging. In this study, we develop a novel bioinformatic approach to binding site prediction. We do this by extending pre-existing SVM approaches in an unbiased way to include all possible gapped k-mers, representing different combinations of complex nucleotide dependencies within binding sites. We show the advantages of this new approach when compared to existing SVM approaches, through a rigorous set of cross-validation experiments. We also demonstrate the effectiveness of our new approach by reporting on its improved performance on a set of 127 genomic regions known to regulate gene expression along the anterio-posterior axis in early Drosophila embryos.</text>
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                <text>immunity, covid-19, cardiovascular diseases, Serological test</text>
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                <text>The journal of applied laboratory medicine</text>
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                <text>Forecasting the Spread of COVID-19 in Kuwait Using Compartmental and Logistic Regression Models</text>
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                <text>Abdulla I. Almazrouee, Saleh N. Alhajeri, Abdullah  M. Almeshal, Mohammad  R. Alenizi</text>
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                <text>The state of Kuwait is facing a substantial challenge in responding to the spread of the novel coronavirus 2019 (COVID-19). The government’s decision to repatriate stranded citizens back to Kuwait from various COVID-19 epicenters has generated a great concern. It has heightened the need for prediction models to estimate the epidemic size. Mathematical modeling plays a pivotal role in predicting the spread of infectious diseases to enable policymakers to implement various health and safety measures to contain the spread. This research presents a forecast of the COVID-19 epidemic size in Kuwait based on the confirmed data. Deterministic and stochastic modeling approaches were used to estimate the size of COVID-19 spread in Kuwait and determine its ending phase. In addition, various simulation scenarios were conducted to demonstrate the effectiveness of nonpharmaceutical intervention measures, particularly with time-varying infection rates and individual contact numbers. Results indicate that, with data until 19 April 2020 and before the repatriation plan, the estimated reproduction number in Kuwait is 2.2. It also confirms the efficiency of the containment measures of the state of Kuwait to control the spread even after the repatriation plan. The results show that a high contact rate among the population implies that the epidemic peak value is yet to be reached and that more strict intervention measures must be incorporated</text>
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                <text>DOI: 10.3390/app10103402</text>
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                <text>MDPI AG</text>
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                <text>Biology (General), Technology, Physics, Chemistry, Engineering (General). Civil engineering (General)</text>
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                <text>Drivers of employee sustainable motivation on private enterprises on Saudi Arabia during the crisis of COVID-19</text>
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                <text>Abdullah Abdulmohsen Alfalih</text>
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                <text>Management Science Letters</text>
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                <text>Abdullah Balkhair, Fatma Ba Alawi, Khuloud Al Maamari</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="27075">
                <text>DOI: 10.5001/omj.2014.43</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="27076">
                <text>Oman Medical Journal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="27077">
                <text>Oman Medical Specialty Board</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="27078">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
