<?xml version='1.0' encoding='UTF-8'?>
<?xml-stylesheet type="text/xsl" href="/static/xsl/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-04-15T15:52:52Z</responseDate>
  <request verb="ListRecords" metadataPrefix="oai_dc" set="user-simad_university">https://www.sorer.somaliren.org.so/oai2d</request>
  <ListRecords>
    <record>
      <header>
        <identifier>oai:zenodo.org:250</identifier>
        <datestamp>2021-07-07T19:14:50Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Ayan Aden Moussa</dc:creator>
          <dc:creator>Abdkeren Abdullahi Abdi</dc:creator>
          <dc:creator>Sharif Alhassan Abdullahi</dc:creator>
          <dc:date>2021-07-07</dc:date>
          <dc:description>Abstract
Background Hepatitis B virus (HBV) infection is globally distributed with its attendant complications
such as chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma. Somalia is among the countries
with a high prevalence of HBV infection. This study aims to assess the knowledge, attitude, and practice
(KAP) of healthcare workers (HCW) towards HBV infection in Mogadishu, Somalia. Methods The cross-sectional
the study was conducted on HCW to assess KAP towards HBV infection. Standardized
questionnaires were distributed to 470 HCW recruited for the study from five hospitals. Data for
demographic characteristics were described using percentages. Scores for KAP were presented as
mean ±standard deviation. Mann-Whitney U and Kruskal-Wallis tests were used to deduce inferences
between the mean KAP and demographic characteristics of the participants. Spearman’s rho
correlation was used to determine any association between the KAP of the HCW. Results Of the 470
the distributed questionnaire, 430 questionnaires were returned with a response rate of 91.5%. Majority
(73%) of the participants had tertiary education. The mean scores for KAP were 16.3±4.4, 6.9±0.4,
7.03±1.5 respectively. Significant ( P&lt;0.01 ) positive correlation between the KAP variables was
observed. Professional cadre and marital status were found to be associated with mean KAP (
P&lt;0.001 ). Conclusion This study revealed an acceptable level of KAP among the HCW and a potential
source of participants for an awareness campaign against HBV infection in Somalia.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/250</dc:identifier>
          <dc:identifier>10.21203/rs.2.23628/v1</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>Research Square</dc:source>
          <dc:subject>Knowledge</dc:subject>
          <dc:subject>Attitude</dc:subject>
          <dc:subject>Practice</dc:subject>
          <dc:subject>Healthcare workers</dc:subject>
          <dc:subject>Hepatitis B</dc:subject>
          <dc:title>Assessment of knowledge, attitude and practice of healthcare workers towards Hepatitis B virus infection in Mogadishu, Somalia: A Cross-Sectional Study</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:210</identifier>
        <datestamp>2021-07-05T19:25:52Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Abdinur Ali Mohamed</dc:creator>
          <dc:creator>Ahmed Ibrahim Nageye</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>The purpose of this study is to measure the effect of land degradation and the environmental changes on agricultural productivity in Somalia, as well as the other factors that affect crop production in Somalia. Design/methodology/approach – Cobb-Douglas production function assumes crop production as a dependent variable and land degradation, labor, capital, fertilizer and climate change as the explanatory variables. In this study time-series data (1962–2017) collected from the Food and Agriculture Organization and World Development Indicators were used. The unit root of the data was examined using Ng-Perron and the Lee-Strazicich methods to explore the unit root property of the breaks. Structural breaks are observed using the Chow test, and the long-run relationship between the variables is examined using Gregory and Hanssen’s approach.

Findings – This study found that land degradation and climate change have a negative relationship with agriculture production in Somalia. Land degradation leads to the decline in agricultural production as the loss of one hectare of land due the depletion causes agriculture production of Somalia to fall by about five percent. Climate changes and warming of the environment lead to the reduction of agriculture production. One degree Celsius rise in the temperature leads to a three percent decline in agricultural production. Capital contributes immensely to agricultural production as one unit of additional capital raises production by seven percent. The contribution of labor to agricultural production is limited because of land contraction</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/210</dc:identifier>
          <dc:identifier>10.1108/MEQ-02-2020-0032</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>Management of Environmental Quality</dc:source>
          <dc:subject>Land degradation</dc:subject>
          <dc:subject>Climate change</dc:subject>
          <dc:subject>Crop production</dc:subject>
          <dc:subject>Structural break</dc:subject>
          <dc:title>Measuring the effect of land degradation and environmental changes on agricultural production in Somalia with two structural breaks</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:206</identifier>
        <datestamp>2021-07-05T10:01:58Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Abdirahman Osman Hashi</dc:creator>
          <dc:creator>Octavio Ernesto Romo Rodriguez</dc:creator>
          <dc:creator>Abdullahi Ahmed Abdirahman</dc:creator>
          <dc:creator>Mohamed M. Mohamed</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>In the general framework of knowledge discovery, different techniques were used for information extraction from multi-label documents. As the world is currently facing COVID-19, it has made it more important than ever to have such knowledge extraction from previous documents. Therefore, Natural Language Processing (NLP) can be an essential model for tackling such an issue. By taking into consideration that having such a model plays an essential role to generate new insights in support of the ongoing fight against this infectious disease. This work introduces a sophisticated model that is able to read data from various articles about COVID-19, and finally give the most appropriate answer to the questions asked in order to gain insight information automatically. The model is applied to the COVID-19 open research dataset challenge (CORD-19) that’s has caught the attention of many researchers and it contains over 400,000 scholarly articles. The result of the proposed model has shown a good achievement, as it is explained in the result section. It was found that NLP is a good choice for tackling this global pandemic for information extraction and it contributes a new insight in support of the ongoing fight against this infectious disease. research dataset challenge (CORD-19) that has over 400,000 scholarly articles about COVID-19, SARS, CoV-2, and related coronavirus. It is a free dataset for researchers to apply to the field of Natural Language Processing and Artificial Intelligence techniques to find out new information that will make it easier to take part in the efforts against coronavirus. It is crucial to have a system that can enable easier extraction of the information needed from multiple articles using Natural Language Processing [3]. It will play an important role in facilitating the search process related to knowledge discovery as well as search engines. BERT, which is one of the models used in the retrieve automatic answer from documents, will be the one selected for this work. Finally, the required answers will be retrieved from a wide range of documents. This, as mentioned earlier, is important in contributing to the fight against COVID-19, as it will make it easier for researchers to find the information needed, and not waste time reading each article.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/206</dc:identifier>
          <dc:identifier>10.14445/22315381/IJETT-V69I5P226</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>International Journal of Engineering Trends and Technology 69(5) 190-195, May 2021</dc:source>
          <dc:subject>Coronavirus</dc:subject>
          <dc:subject>Natural Language Processing</dc:subject>
          <dc:subject>Deep Learning</dc:subject>
          <dc:subject>Artificial Intelligence</dc:subject>
          <dc:title>Collecting Targeted Information About Covid-19 From Research Papers By Asking Questions Based On Natural Language Processing</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:212</identifier>
        <datestamp>2021-07-05T19:25:38Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Tariq Tawfeeq Yousif Al-Abdullah</dc:creator>
          <dc:creator>Essia Ries Ahmed</dc:creator>
          <dc:creator>Mohamed Ibrahim Nor</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>The appearance of coronavirus disease which is called COVID-19 in China on December 2019 has led to huge global outbreak that is strongly related to the bad health issue in the whole world. As of 27 March 2020, data from the World Health Organization have shown the countries, territories or areas with reported laboratory-confirmed COVID-19 cases and deaths. It shows that the most affected European country is Italy, where the total confirmed cases are 80539, while in Western Pacific Region, China was the first affected country by 82078 as total confirmed cases; however, the United States of America has total confirmed cases of 68334. Thus, the authorities of public health around the world must keep supervising the situation carefully, as the more the scientists can search about this deadly virus and its associated outbreak, the response and result will be better. Otherwise, the situation will go further to include damage to the whole world including the economic severe crisis. Based on that, the current study uniquely contributes to suggesting which systems should be continued under the unusual economic changes facing the whole world because of this awful pandemic. This study takes advantage of the 2020 financial crisis due to Coronavirus as a sudden and negative exogenous trauma that influenced the economies of all countries and the rest of the vital and social pillars in the world via focusing on Corporate Governance and Islamic Finance Industry as control systems and methods that should be continued in the time of the current pandemic. Noting that because of the current pandemic, there has been a shift to digital platform instead of keeping on using physical financial documents and this will lead to a diversity in purposes, highly efficient trade and secure</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/212</dc:identifier>
          <dc:identifier>10.18551/rjoas.2020-06.11</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>RJOAS 6(102, June 2020)</dc:source>
          <dc:subject>COVID-19</dc:subject>
          <dc:subject>Economic impact,</dc:subject>
          <dc:subject>Crisis</dc:subject>
          <dc:subject>Finance</dc:subject>
          <dc:subject>Economics</dc:subject>
          <dc:title>THE WORLD DECLINING ECONOMY AND CORONAVIRUS PANDEMIC: SYSTEMS SHOULD BE CONTINUED</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:248</identifier>
        <datestamp>2021-07-07T19:14:22Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Abdinur Ali Mohamed</dc:creator>
          <dc:creator>Mohamed Ibrahim Nor</dc:creator>
          <dc:date>2021-07-07</dc:date>
          <dc:description>Abstract
The development of mobile money services permits businesses and individuals to get access to financial services and become part of the financial system. Access to the financial system is a key driver to business growth and entrepreneurial development in Somalia and in many parts of the world. The purpose of this study was to examine the contribution of mobile
money services to the growth of small and medium-sized enterprises in Somalia. We applied dynamic capability theory to examine the factors that affect business growth. This study employed cross sectional research design and used quantitative techniques to analyze the data of the study. The target population of the study was business owners that are in major cities in Somalia. A sample of 138 businesses categorized by trade, services, and manufacturers were studied. Descriptive and inferential statistics were used to analyze the cross-section data collected from the various respondents. For regression analysis, Robust Least Squares (ROBUSTLS), is used to estimate the model parameters of the study. We rejected the null hypothesis examined by
this study and we found that all variables have a positive contribution that is different from zero and is statistically significant. The result shows that a one percent increase of the access to finance contributes to business growth of about (0.186%) while a (1%) increase in sales growth, leads business to grow about (0.183%). The enhancement of the risk management by (1%) increases
business growth to about (0.225%). Product development is a dominant variable that leads to business growth as (1%) increase of the product development, leads business to grow about (0.254%). These results indicate that mobile money service has a positive and significant influence on the business’s ability to access finances. The increase of the mobile money adoption by(1%), causes access to finance to increase about (13%). Mobile money also contributes to the sales growth as a (1%) increase in the use of mobile money, causes sales to surge by (3%). Results show that a (1%) increase in the use of mobile money, leads the risk management to improve about (4%) and that a (1%) increase of the mobile money services, leads the product development to increase to about (9%). The stability of the data was examined using the CUSUM test and we found that the data is stable. The model has no multicollinearity problem and the heteroskedasticity and the serial correlation were corrected</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/248</dc:identifier>
          <dc:identifier>10.20374/sorer/248</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.20374/sorer/247</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>American Journal of Industrial and Business Management 11 499-514</dc:source>
          <dc:subject>Dynamic Capability Theory</dc:subject>
          <dc:subject>Business Growth</dc:subject>
          <dc:subject>Mobile Money Services</dc:subject>
          <dc:subject>EVC-Plus</dc:subject>
          <dc:title>Assessing the Effects of the Mobile Money Service on Small and Medium Sized Enterprises: Study on EVC-Plus Services in Somalia</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:202</identifier>
        <datestamp>2021-07-04T14:01:38Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Abdifatah Farah Ali</dc:creator>
          <dc:creator>Rusli Haji Abdulah</dc:creator>
          <dc:creator>Mohamed M. Mohamed</dc:creator>
          <dc:date>2020-01-01</dc:date>
          <dc:description>Abstract: The rapid growth in Mobile application users has made researchers and practitioners think of intelligent tools that can help the users and applications in delivering quality services. Therefore, an intelligent agent is expected to become the tool for the development of mobile outcome-based education (OBE) particularly in higher learning Institutions (HLI). In this context, there is a lacking of OBE intelligent agents in assisting academicians to use OBE management for mobile application system environments. This paper presents the conceptual design and development of a mobile intelligent agent based on mobile OBE called i-MOBE. Since that, i-MOBE that we developed is considered very important for academicians and students to facilitate them in using for academic purposes in HLI particularly in helping them to monitor the performance in teaching and learning (T&amp;L). The system architecture will be covering the conceptual design and its interaction as well as the system configuration in helping the academicians to use the system in their T&amp;L toward effective and efficiency also can be applied in monitoring based on scenarios such as tests, assignments and projects and so on.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/202</dc:identifier>
          <dc:identifier>10.20374/sorer/202</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.20374/sorer/201</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>http://www.opendefinition.org/licenses/cc-by-sa</dc:rights>
          <dc:source>INTERNATIONAL JOURNAL OF SCIENTIFIC &amp; TECHNOLOGY RESEARCH VOLUME 9(ISSUE 01)</dc:source>
          <dc:subject>Outcome based education</dc:subject>
          <dc:subject>Mobile application</dc:subject>
          <dc:subject>Mobile agent</dc:subject>
          <dc:subject>Higher learning institution</dc:subject>
          <dc:subject>Teching and learning</dc:subject>
          <dc:title>Toward Developing Intelligent Mobile Obe System In Higher Learning Institution</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:214</identifier>
        <datestamp>2021-07-07T08:49:45Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Abdirahman Mohamed Anas</dc:creator>
          <dc:creator>Ali Yasin</dc:creator>
          <dc:creator>Bashir Abidsamad Hared</dc:creator>
          <dc:creator>Ismail Mohamed Ali</dc:creator>
          <dc:creator>Abdulrahman M. Nogsane</dc:creator>
          <dc:creator>Abdirahman Ahmed Mudey</dc:creator>
          <dc:creator>Abdikarim Mohaidin Ahmed</dc:creator>
          <dc:creator>Ibrahim Mohamud Hamud</dc:creator>
          <dc:creator>Ahmed Salat Ahmed Haraf</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>I t has been more than a year that the last edition of SBR was issued. After an unexpected absence of one year, SBR is here again to share with you very interesting articles enlightening technology, business and development. Our respected readers, we apologize the time that our connection in this beautiful knowledge sharing endeavor has stopped. A new commitment starts now and we connect each other again. We are sure that the upcoming issues of SBR will be more exciting and entertaining Since the last time we have published the last edition, many things in business has changed including both ups and downs. The new opportunities to be grabbed or the arising challenges to be eliminated/ managed and the way we do business are a lot better than ever. To see/understand what it looks like, your experiences, insights and invaluable contributions are extremely important for both academicians and business practitioners. Let’s utilize the venue that SBR provides to all of us by sending your articles through an e-mail or hand delivery to Research and Publications Office at the main camps. Finally, comments and constructive criticism are most welcome, and SBR team will take into consideration immediately. The team’s philosophy is that “The believer is a mirror for his brother believer”. Continues improvement is our target which we believe is possible with a collective ideas and vision.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/214</dc:identifier>
          <dc:identifier>10.20374/sorer/214</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.20374/sorer/213</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>Somali Business Review</dc:source>
          <dc:subject>Business</dc:subject>
          <dc:subject>Infrastructures</dc:subject>
          <dc:subject>Technology</dc:subject>
          <dc:title>Somali Business Review 2013</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:208</identifier>
        <datestamp>2021-07-05T13:53:43Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Jude Alawa</dc:creator>
          <dc:creator>Samir Al-Ali2</dc:creator>
          <dc:creator>Lucas Walz</dc:creator>
          <dc:creator>Eleanor Wiles</dc:creator>
          <dc:creator>Nikhil Harle</dc:creator>
          <dc:creator>Mohamed Abdullahi Awale</dc:creator>
          <dc:creator>Deqo Mohamed</dc:creator>
          <dc:creator>Kaveh Khoshnood</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>Background:

Three million internally displaced Somalis live in overcrowded settlements with weakened infrastructure, insufficient access to WASH facilities, and inaccessible health services.This vulnerable population is especially susceptible to COVID-19, which is expected to have worsened health outcomes and exacerbate existing structural challenges in the implementation of public health measures. This study examines knowledge of COVID-19, self-reported prevalence of preexisting conditions, and access to essential health services among residents of internally displaced persons (IDP) camps in Somalia.
Methods:

A descriptive, cross-sectional survey design assessing demographics, current health profiles, knowledge and perceptions of COVID-19, and access to resources was used. 401 Somali IDP camp residents completed the survey.
Results:

Though 77% of respondents reported taking at least one COVID-19 preventative public health measure, respondents reported a severe lack of access to adequate sanitation, an inability to practice social distancing, and nearly universal inability to receive a COVID-19 screening exam. Questions assessing knowledge surrounding COVID-19 prevention and treatment yielded answers of “I don’t know” for roughly 50% of responses. The majority were not familiar with basic information about the virus or confident that they could receive medical services if infected. Those who perceived their health status to be “fair,” as opposed to “good,” showed 5.69
times higher odds of being concerned about contracting COVID-19. Respondents who felt more anxious or nervous and those who introduced one behavioral change to protect against COVID-19 transmission showed 10.16 and 5.20 times increased odds of being concerned about disease contraction, respectively.
Conclusion:

This study highlights immense gaps in the knowledge and perceptions of COVID-19 and access to treatment and preventative services among individuals living in Somali IDP camps. A massive influx of additional resources is required to adequately address COVID-19 in Somalia, starting with educating those individuals most vulnerable to infection.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/208</dc:identifier>
          <dc:identifier>10.1101/2020.08.17.20176271</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>medRxiv preprint</dc:source>
          <dc:subject>COVID-19</dc:subject>
          <dc:subject>Conflict</dc:subject>
          <dc:subject>Internally Displaced Persons</dc:subject>
          <dc:subject>Somalia</dc:subject>
          <dc:subject>Humanitarian Health</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Wash</dc:subject>
          <dc:title>Knowledge and Perception of COVID-19, Prevalence of Pre-Existing Conditions, and Access to Essential Resources and Health Services in Somali IDP Camps</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:280</identifier>
        <datestamp>2021-11-09T12:47:38Z</datestamp>
        <setSpec>user-sorer</setSpec>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-crd</setSpec>
        <setSpec>user-somnog</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Ahmed, Abdikarim Mohaidin</dc:creator>
          <dc:date>2021-11-02</dc:date>
          <dc:description>Eng. Abdikarim Mohaidin Ahmed, the Director for International Cooperation, SIMAD University delivered this presentation as a keynote speech at the 5th Annual Conference of the Somali Network Operators' Group (SomNOG)</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/280</dc:identifier>
          <dc:identifier>10.20374/sorer/280</dc:identifier>
          <dc:relation>doi:10.20374/sorer/279</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/crd</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/somnog</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:subject>Digital</dc:subject>
          <dc:subject>Transformation</dc:subject>
          <dc:subject>Public</dc:subject>
          <dc:subject>Service</dc:subject>
          <dc:subject>Delivery</dc:subject>
          <dc:subject>SomNOG5</dc:subject>
          <dc:subject>SomNOG</dc:subject>
          <dc:title>Digital Transformation and Public Service Delivery</dc:title>
          <dc:type>info:eu-repo/semantics/lecture</dc:type>
          <dc:type>presentation</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:216</identifier>
        <datestamp>2021-07-06T09:13:06Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>ABDISAMAD ABDULAHI ABDULLE</dc:creator>
          <dc:creator>ABDIRIZAK MOHAMED AHMED</dc:creator>
          <dc:creator>YAHYE ABUKAR AHMED</dc:creator>
          <dc:creator>ISMAIL MOHAMED ALI</dc:creator>
          <dc:creator>BASHIR ABDISAMAD HARED</dc:creator>
          <dc:creator>ABDIWAHAB ISAK HASSAN</dc:creator>
          <dc:creator>ABDIRAZAK OSMAN MOHAMUD</dc:creator>
          <dc:creator>ZAINAB ALI KASIM</dc:creator>
          <dc:creator>NASRA AHMED MOHAMED</dc:creator>
          <dc:creator>AHMED MOHAMED DAHIR</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>The businesses are changing and growing faster, there are a lot of people who are coming back to the country to start out their businesses, a lot of businesses were started in different sectors, and markets are looking to be busy for serving the customers. Even though the unemployment of the country is high, as there are a lot of unemployed individuals, Some organizations are helping out the youth to start and operate their businesses to fight with the unemployment by providing training and grants these caused a lot of youth to improve their livelihoods and get a source of income. Given that Somalia has been at war from the early nineties, the water division infrastructure is broken down and will have to be rebuilt and reformed to serve the people of Somalia. There are opportunities in the supplying water sector materials range from small hand well digging to complex drilling borehole of services, to take advantage from the opportunities in the market for the water sector materials, it’s good to get the stocks needed for the water supply. In this issue covers articles that address business opportunities focusing on some sectors of the market and the new technologies used for the businesses to enhance their recording. Islam is a religion presenting a system for the welfare of the society and prohibits a system where people earn income without putting work or efforts so we provided an article about the Wisdom Behind Elimination of Riba in Financial transactions.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/216</dc:identifier>
          <dc:identifier>10.20374/sorer/216</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.20374/sorer/215</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>SOMALI BUSINESS REVIEW SOMALI BUSINES 8(4)</dc:source>
          <dc:subject>Business</dc:subject>
          <dc:subject>Technology</dc:subject>
          <dc:subject>Book Reviews</dc:subject>
          <dc:subject>Entrepreneurship</dc:subject>
          <dc:subject>Innovation</dc:subject>
          <dc:subject>Finance</dc:subject>
          <dc:title>Somali Business Review 2015</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:252</identifier>
        <datestamp>2021-07-07T19:13:20Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Abdirahman Osman Hashi</dc:creator>
          <dc:creator>Abdullahi Ahmed Abdirahman</dc:creator>
          <dc:creator>Mohamed Abdirahman Elmi</dc:creator>
          <dc:creator>Siti Zaiton Mohd Hashi</dc:creator>
          <dc:creator>Octavio Ernesto Romo Rodriguez</dc:creator>
          <dc:date>2021-07-07</dc:date>
          <dc:description>A flood is expressed as water overflowing onto the ground, that usually is dry, or an increase of water that has a significant impact on human life, and it is also declared as one of the most usual natural phenomena, causing severe financial damage to goods and properties, as well as affecting human lives. However, preventing such floods would be useful to the inhabitants in order to get sufficient time to evacuate in the areas that might be susceptible to floods before they happen. Regarding the issue of floods, numerous scholars proposed different solutions, for instance, developing prediction models and building a proper infrastructure. Nevertheless, from an economical perspective, these proposed solutions are inefficient for people in countries like Somalia, for instance. Hence, the main objective of the present research paper is to propose a novel and robust model, which is a real-time flood detection system based on Machine-Learning-algorithms and Deep Learning; Random Forest, Naive Bayes J48, and Convolutional Neural Networks that can detect water level and measure floods with possible humanitarian consequences before they occur. The experimental results of this proposed method will be the solution to forth mentioned problems and conduct research on how it can be easily simulating a novel way that detects water levels using a hybrid model based on Arduino with GSM modems. Based on the analysis, the Random-Forest algorithm outperformed other machine learning models regarding the accuracy compared to the alternative classification methods with 98.7% of accuracy. In contrast, 88.4% and 84.2% were achieved using Naive Bayes and J48, respectively. On the other hand, using a Deep Learning approach achieved 87% of accuracy, showing overall good results on precision and recall. The proposed method has contributed to the field of study by introducing a new way of preventing floods in the field of Artificial Intelligence, data mining, and Deep Learning.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/252</dc:identifier>
          <dc:identifier>10.14445/22315381/IJETT-V69I5P232</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>International Journal of Engineering Trends and Technology 69(5) 249-256</dc:source>
          <dc:subject>Machine Learning</dc:subject>
          <dc:subject>Naive Bayes</dc:subject>
          <dc:subject>Random Forest</dc:subject>
          <dc:subject>Artificial Intelligence</dc:subject>
          <dc:subject>Convolutional Neural Network</dc:subject>
          <dc:subject>Data Mining</dc:subject>
          <dc:subject>Natural Language Processing</dc:subject>
          <dc:title>A Real-Time Flood Detection System Based on Machine Learning Algorithms with Emphasis on Deep Learning</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:zenodo.org:204</identifier>
        <datestamp>2021-07-05T10:01:57Z</datestamp>
        <setSpec>user-simad_university</setSpec>
        <setSpec>user-sorer</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Dahir Abdi Ali</dc:creator>
          <dc:creator>Midi, H.</dc:creator>
          <dc:date>2021-07-05</dc:date>
          <dc:description>In the existence of autocorrelation problems, the Ordinary Least Squares (OLS) estimates become incompetent. The Cochrane - Orcutt Prais -Winsten iterative method (COPW) is the most widely used remedial measure to rectify this problem. 
However, this iterative procedure is based on the OLS estimates, which are not resistant and easily influenced by high leverage points (outliers in the  -direction) and outliers in they-direction. The COPW based on the MM estimator is developed to remedy both problems of autocorrelation and high leverage points. Nevertheless, the MM estimator does not perform well in the presence of bad leverage points. In this paper, we propose to improvise the Cochrane-OrcuttPrais-Winsten iterative method based on the GM6 estimator so that autocorrelated errors and high leverage points can be rectified. The performance of the COPW-GM6 is scrutinized widely by Monte Carlo simulation and real examples. The results of this study show that the COPW-GM6 is more efficient than the COPW and COPW-MM.</dc:description>
          <dc:identifier>https://sorer.somaliren.org.so/record/204</dc:identifier>
          <dc:identifier>10.20374/sorer/204</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.20374/sorer/203</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/simad_university</dc:relation>
          <dc:relation>url:https://sorer.somaliren.org.so/communities/sorer</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
          <dc:source>MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES 14(3 (2020)) 505-517</dc:source>
          <dc:subject>Autocorrelation</dc:subject>
          <dc:subject>Bad leverage points,</dc:subject>
          <dc:subject>Cochrane-Orcutt Prais- Winsten iterative method (COPW)</dc:subject>
          <dc:subject>Good leverage points,</dc:subject>
          <dc:subject>High leverage points (HLPs),</dc:subject>
          <dc:subject>outliers.</dc:subject>
          <dc:title>On the Robust Parameter Estimation Method for Linear Model with Autocorrelated Errors in the Presence of High Leverage Points and Outliers in the Y-Direction</dc:title>
          <dc:type>info:eu-repo/semantics/article</dc:type>
          <dc:type>publication-article</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
  </ListRecords>
</OAI-PMH>
