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    224 research outputs found

    Video-recording of SORER Technical Workshop for University ICT Directors and Librarians

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    SORER Technical Workshop for University ICT directors was conducted on 18 January 2021. 48 participants from 23 institutions attended the virtual training to learn what SORER is and the role it can play to change the visibility of locally produced research content, how to use SORER, and to know the state of play in Open Science and Digital repositories. Here is the link to the agenda page of the workshop http://bit.ly/agenda_for_sorer_technical_workshop You can also watch this video on youtube at https://youtu.be/Vl_bKAm8of

    SERVICE DELIVERY & GOOD GOVERNANCE: THEORIES & IMPERICAL EVIDENCE OF ICT

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    This presentation was presented at SomNOG4 in 201

    Assessing Discrimination Against People Living with HIV/AIDS in Somalia

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    ABSTRACT As for HIV/AIDS, there is an estimate of 10,500 living with HIV/AIDS in Somalia. Children living with HIV are also estimated at 500. Among HIV positive people, only 35% attend ART centers for medications. This study aims to assess discrimination against people living with HIV/AIDS in Somalia. With the support of People Living with HIV (PLHIV), the researcher targeted 346 respondents but those accepted to participate were 187 PLHIV including 102 females and 85 males live in different regional states in Somalia. During data collection the researcher either met face to face with the respondent or communicated by telephone. The study doesn’t assess how people become HIV positive. However, the study found nearly half of the respondents became HIV positive for the past five years. Stigma and discrimination are the major challenges face PLHIV. The assessment conducted 1st Dec. 2020 – 10th Jan. 2021 Gender: According to the reports from ART centers’ prevalence rate of the people living with HIV; the female ratio is higher than the male ratio. Thus, the study surveyed 187 people living with HIV, including 102 females and 85 males. This makes females are over-represented in this survey sample. Respondents’ Age Group: Youth age is considered a risk age for HIV. However, during the data collection, all ages were given equal chance to participate and selected randomly from the PLHIV in different states in Somalia. The study found 40% of the respondents aged between 20-30 years, while one-third (33%) aged between 31-40. The age of 41-50 is 16%. Only 11% of the respondents are above 50 years. Marital status: There was no primary hypothesis that married and divorced persons have a much higher risk of HIV than never-married persons. However, the study found that married respondents were about five-in-ten (53%) while either divorced or widowed were slightly lower than married and they were 47%. The study also found that when the person is HIV positive; polygamy is a risk factor that increases the infection among the community

    The Essence of the Telecommunication Act

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    This paper was presented at the SomNOG2 conference in 201

    Frequency of cancer distribution in Somalia: A four-year retrospective epidemiological study

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    Abstract Background: Cancer ranks the leading cause of morbidity and mortality worldwide, with approximately 19.3 million new cases and 10 million deaths. The most common causes of cancer death were cancers of the lung (1.69 million deaths), liver (788,000 deaths), colorectal (774,000 deaths), stomach (754,000 deaths), and breast (571 000 deaths). Cancer rates in Somalia are underreported, national population-based cancer registry in the country is missing to conduct a nationwide prevalence study. The study aimed to estimate the prevalence of cancer and determine the most common organ affected and the existence of Benign or Metastasis among cancer patients. Methods: The study undertook a retrospective cross-sectional design using a quantitative approach. Secondary data from patient records between January 2014 to November 2017, clinically diagnosed with cancer and referred from other hospitals to Kamil diagnostic center for radiological analysis were selected for this study in Mogadishu, Somalia. Results: 583 registered cancer patients, 60.2% (351) were reported in men and 39.8% (232) in women. The primary cancer types were hepatocellular carcinoma (HCC) which was diagnosed among 151 (26%) patients, of which 124 (82%) were male, and 27(18%) were female. HCC followed by esophageal carcinoma (EC), which was diagnosed among 97 (17%) patients, of which 50 (52%) were female, in comparison to 47 (48%) were male, followed by renal cell carcinoma (RCC), which was diagnosed among 56 (10%) patients of which 31 (55.4%) were male while 25 (44.6%) were female. Lymphoma was diagnosed in 40 (7%) patients, of which 20 (50%) were male, and 20 (50%) were female. It was also established that metastatic cancer was found among 152 (26%) patients, which is little compared to 431 (73.9%) patients whose cancer was not metastatic. The major organs of metastatic were lymph node 48 (8.2%), pulmonary and hepatic with lymph node each 22 (3.8%), and bones 20 (3.4%). Conclusion: The study reveals an increasing trend of cancer prevalence in Somalia. HCC was found to be the major type, followed by EC. The study recommends that people take timely screening and diagnosis of cancer to stand higher chances of preventing and surviving cancer death. Healthy lifestyles such as a healthy diet, avoiding tobacco, alcohol, risky behaviors, maintaining a healthy weight, vaccination (HBV and HPV), and public health efforts could stem this trend. Keywords: Distribution, Cancer, Metastatic, Organ of metastatic, Somalia

    Human Capital Development Strategy for Somalia

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    The last 20 years have been characterized by slow but steady recovery and a modest reconstitution of state institutions, including the adoption of a contested and unsettled federal governance structure. There is much to be optimistic about Somalia’s recovery despite the protracted instability. This human capital development strategy is anchored on Somalia’s fragile realities and its success hinges upon the ushering in of a conducive enabling environment. The human capital development strategy aims to provide a framework to transform the knowledge and skills of the Somali workforce and help to develop an empowered and healthy Somali population with the necessary skills and attitudes for productive sector-driven and sustainable economic development

    Gender Gap in Engineering And Technology-in Somalia

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    Abstract: This research paper summarizes the immense of the Gender Gap in Engineering and technology in Somalia. Engineering and computer science — two of the well-paid STEM fields — remain heavily male dominated. Although the gender gap in math and technology courses has narrowed in recent decades, females continue to be underrepresented in fields of Engineering and Technology. The underrepresentation of women in Engineering and technology remains active due to the influences of following parameters: (a) Fewer Role Models, (b) gender-related stereotypes and biases, (c) occupational interests or preferences and (e) field-specific ability beliefs. Our study is Quantitative research and Infinite Population target sampling procedure and selecting 155 respondent students graduated universities in Mogadishu-Somalia; with the use online Web survey instruments called KOBOTOOLBOX, Data was analyzed using descriptive statistics analysis. Gender inequality in Engineering and technology can be reduced by proper monitoring, proper informing and creating necessary work conditions and also provide equally opportunity employments in these fields of engineering and technology to minimize field-specific ability beliefs

    A Real-Time Flood Detection System Based on Machine Learning Algorithms with Emphasis on Deep Learning

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    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

    Brokerage Event Towards a FAIR Compliant Commons in the ASREN Region - Videorecording

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    This video contains the videorecording of the Brokerage Event Towards a FAIR Compliant Commons in the ASREN Region, which was part of the program of the 16th International Open Repositories Conference (OR2021)

    The Impact of Telecommunications Regulation Implementation on sector development

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    This paper was presented at the SomNOG conference in 201

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