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FAIR Machine Learning Model Pipeline Implementation of COVID-19 Data

Data Intelligence 2022年第4期4卷 971-990,1036页

作者： Sakinat Folorunso Ezekiel Ogundepo Mariam Basajja Joseph Awotunde abdullahi Kawu Francisca Oladipo abdullahi ibrahim Department of Mathematical Sciences Olabisi Onabanjo UniversityP.M.B 2002Ago-IwoyeOgun StateNigeria 120005Nigeria Data Science Nigeria Lagos 105102Nigeria Leiden University 1011NCAmsterdamthe Netherlands Department of Computer Science University of IlorinIlorinKwara State240103Nigeria Department of Computer Science Ibrahim Badamosi UniversityLapaiNiger State911101Nigeria Kampala International University 260101Uganda Federal University Lokoja Nigeria Virus Outbreak Data Network-Africa

Research and development are gradually becoming data-driven and the implementation of the FAIR Guidelines(that data should be Findable, Accessible, Interoperable, and Reusable) for scientific data administration and stewardship has the potential to remarkably enhance the framework for the reuse of research data. In this way, FAIR is aiding digital transformation. The ‘FAIRification’ of data increases the interoperability and(re)usability of data, so that new and robust analytical tools, such as machine learning(ML) models, can access the data to deduce meaningful insights, extract actionable information, and identify hidden patterns. This article aims to build a FAIR ML model pipeline using the generic FAIRification workflow to make the whole ML analytics process FAIR. Accordingly, FAIR input data was modelled using a FAIR ML model. The output data from the FAIR ML model was also made FAIR. For this, a hybrid hierarchical k-means (HHK) clustering ML algorithm was applied to group the data into homogeneous subgroups and ascertain the underlying structure of the data using a Nigerian-based FAIR dataset that contains data on economic factors, healthcare facilities, and coronavirus occurrences in all the 36 states of Nigeria. The model showed that research data and the ML pipeline can be FAIRified, shared, and reused by following the proposed FAIRification workflow and implementing technical architecture.

关键词： FAIRification Semantic data model Cluster analysis FAIR data Metadata Machine learning model

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FAIR Guidelines and Data Regulatory Framework for Digital Health in Nigeria

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Data Intelligence 2022年第4期4卷 839-851,1042-1043页

作者： abdullahi Abubakar Kawu Joseph Elijah ibrahim abdullahi Jamilu Yahaya Maipanuku Sakinat Folorunso Mariam Basajja Francisca Oladipo Hauwa Limanko ibrahim Department of Computer Science Ibrahim Badamasi Babangida University911101 LapaiNigeria Department of Mathematical Sciences Olabisi Onabanjo UniversityAgo-Iwoye120005 Ogun StateNigeria Leiden Institute of Computer Science 1011NCAmsterdamthe Netherlands Federal University 260101 LokojaNigeria Kampala International University Uganda

Adopting the FAIR Guidelines—that data should be Findable, Accessible, Interoperable and Reusable(FAIR)—in the health data system in Nigeria will help protect data against use by unauthorised parties, while also making data more accessible to legitimate users. However, little is known about the FAIR Guidelines and their compatibility with data and health laws and policies in Nigeria. This study assesses the governance framework for digital and health/e Health policies in Nigeria and explores the possibility of a policy window opening for the FAIR Guidelines to be adopted and implemented in Nigeria’s e Health sector. Ten Nigerian policy documents were examined for mention of the FAIR Guidelines(or FAIR Equivalent terminology) and the 15 sub-criteria or facets. The analysis found that although the FAIR Guidelines are not explicitly mentioned, 70% of the documents contain FAIR Equivalent terminology. The Nigeria Data Protection Regulation contained the most FAIR Equivalent principles(73%) and some of the remaining nine documents also contained some FAIR Equivalent principles(between 0–60%). Accordingly, it can be concluded that a policy window is open for the FAIR Guidelines to be adopted and implemented in Nigeria’s e Health sector.

关键词： FAIR Health data policy FAIR Equivalent terminology

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Parkland Trees under Severe Drought: An Assessment of Species Diversity and Abundance across Three Agroecological Zones of Northern Nigeria

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Open Journal of Forestry 2021年第2期11卷 117-134页

作者： ibrahim Ndaginna abdullahi Faculty of Agriculture University of Abuja Abuja Nigeria

The appraisal of tree stand structure on parklands is crucial for sustainable agroforestry management decisions, particularly in the drylands of Nigeria. An assessment of tree species distribution in farm plots across the three driest Agroecological zones (AEZ) within Northern Nigeria was performed to determine diversity and abundance in a changing climate. The AEZ include Sudan savannah (SS), Northern Guinea savannah (NGS) and Southern Guinea savannah (SGS). In each AEZ, 3 transects were laid per village and a total of 4 sample plots were located along each transect. Tree bole diameter of all the sampled woody perennials with dbh ≥ 10 cm was measured and identified to species level. The measurement and computation include basal area, species relative density and dominance as well as the important value index (IVI). Results showed that across the AEZs, Parkia biglobosa trees had the highest IVI but reduces from the driest zone, SS (50.25%) through the transitional zone, NGS (38.45%) to the wettest AEZ, the SGS (35.43%). The lowest IVI recorded were in Gliricidia sepium (0.62%), Psidium guajava (2.89%) and Eucalyptus camaldulensis (1.83) in the SGS, NGS and SGS respectively. Parkia biglobosa and Mangifera indica dominated the landscapes and are classified as the landscapes’ habitat generalists. Despite the low organic matter content, Sudan savannah had more diverse species on its farm landscapes than the two other AEZ but with less tree popuplation density. The potential contribution of agroforestry parkland trees to agrobiodiversity in reducing drought and improving soil fertility is essential for sustainable agricultural productivity and landscape restoration.

关键词： Agroforestry Nigeria Regeneration Trees Savannah

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Coupled tripartite investigation of breaker fluid invasion and impact on hydrocarbon recovery in sandstone reservoirs

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Petroleum Research 2023年第3期8卷 338-349页

作者： Stella I.Eyitayo Kazeem A.Lawal Marshall C.Watson Oladoyin Kolawole ibrahim abdullahi Asekhame U.Yadua Oluchukwu M.Okoh Saka Matemilola Tunde Alabi Bob L.Herd Department of Petroleum Engineering Texas Tech University807 Boston AveLubbockTX79409USA FIRST Exploration and Petroleum Development Company(FIRST E&P) Nigeria John A.Reif Jr.Department of Civil and Environmental EngineeringNew Jersey Institute of TechnologyNewarkNJ07102USA Nigerian Petroleum Development Company(NPDC) Nigeria

Breaker fluids are designed to dissolve filter cakes by breaking their long-chain molecules,thereby removing solid deposits on the wellbore *** breaker fluids are not intended to infiltrate the hydrocarbon reservoir,they can invade and cause formation damage by altering sandstone reservoirs'wettability and relative *** can lead to a reduction in the overall reservoir *** study coupled tripartite methods to investigate the potential impact of breaker invasion and transport in hydrocarbon reservoirs and its multiscale effect on the performances of sandstone *** utilized experimental,analytical,and numerical methods to assess and predict the susceptibility of reservoirs to breaker fluid invasion and *** experimental and empirical investigations considered varying breaker fluid formulations to evaluate the effects of breaker fluid concentration,formation temperature,and solution gas-oil ratio(GOR)on residual-oil saturation(ROS)and oil-water relative *** adopting the ROS and relative permeability associated with the 50%v/v breaker fluid mixture,the performance of the hydrocarbon reservoir was numerically simulated under the limiting scenarios of no-invasion,moderate-invasion,and deep-invasion of breaker *** results indicate a positive correlation between breaker fluid concentration and ROS,highlighting the risks that breaker fluid invasion and deep infiltration pose to hydrocarbon ***,results show that both live-oil condition(LOC)and dead-oil condition(DOC)reservoirs are susceptible to the detrimental impacts of breaker fluid infiltration,while their invasion can reduce hydrocarbon recovery in both LOC(-6%)and DOC(-28%).The multi-scale effects on reservoir performance are more pronounced at near-wellbore and DOC than at far-field and *** from this work provide valuable insights into the complexity of breaker-fluid invasion in sandstone reservoirs and the mitigation of as

关键词： Breaker fluid Fluid invasion Formation damage Fluid transport Near-wellbore alteration

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Anthropometric Comparison of Three-Year-Old Nigerian Child and Crash Dummies

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Journal of Transportation Technologies 2016年第4期6卷 192-199页

作者： ibrahim abdullahi Rafukka Barkawi Bin Sahari Abdulaziz Nuraini Arumugam Manohar Department of Mechanical and Manufacturing Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia Department of Mechanical Engineering Bayero University Kano Nigeria Department of Orthopaedic Surgery Faculty of Medicine and Health Sciences Universiti Putra Malaysia Serdang Malaysia

In this work, anthropometric data measured from three-year-old Nigerian child were compared with United States anthropometric database collected by Snyder, 1977 which formed the basis of US anthropometry used today. Further comparison was also carried out with the dimensions of crash dummies: Hybrid III three-year-old (HIII 3YO) and Q3s dummies in order to determine the validity of using such crash dummies for safety evaluation of cars and child restraint systems (CRS) used for Nigerian children. Anthropometric survey was performed on 30 Nigerian children aged 2.5 to 3.5 years old. Twenty three standard measurements were taken from each child including the weight, height and circumferences etc. Various percentiles mean and standard deviation values were obtained and compared with international database. As observed, the dimensions of three-year-old Nigerian child appeared to be about 25% lower than US data reported by Snyder. Significant difference was also found between the dimensions of three-year-old Nigerian child and crash dummies. This study provides the external dimensions of 3-year-old Nigerian child that could be used for crash dummy and CRS design.

关键词： Anthropometry Crash Dummies Child Restraint System Measurement Vehicle Safety

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Climate Change Impact on Sub-Surface Hydrology of Kaduna River Catchment

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Open Journal of Modern Hydrology 2013年第3期3卷 115-121页

作者： Haruna Garba Abubakar Ismail Rabia Lawal Batagarawa Saminu Ahmed abdullahi ibrahim Faustinus Bayang Department of Civil Engineering Nigerian Defence Academy Kaduna Nigeria Department of Water Resources and Environmental Engineering Ahmadu Bello University Zaria Nigeria.

This paper applied the use of a stochastic weather generator at the site of a hydrological model to simulate the impact of climate change on the sub-surface hydrological response of Kaduna River as a basis for a sustainable ground water development plan. Average time series of rainfall, temperature and gauge height observed readings were downscaled to the watershed flow volume and applied as forcing to simulate the ground water response as spatially lumped, ignoring the heterogeneous nature of the ground water aquifer. Future simulations indicate increase in base flow, ground storage and decrease soil storage throughout the summer and autumn months for the catchment.

关键词： Climate Change Simulation Ground Storage Soil Storage Base Flow

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Classifying rockburst with confidence:A novel conformal prediction approach

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International Journal of Mining Science and Technology 2024年第1期34卷 51-64页

作者： Bemah ibrahim Isaac Ahenkorah University of South Australia UniSA STEMSA 5000Australia

The scientific community recognizes the seriousness of rockbursts and the need for effective mitigation *** literature reports various successful applications of machine learning(ML)models for rockburst assessment;however,a significant question remains unanswered:How reliable are these models,and at what confidence level are classifications made?Typically,ML models output single rockburst grade even in the face of intricate and out-of-distribution samples,without any associated confidence *** the susceptibility of ML models to errors,it becomes imperative to quantify their uncertainty to prevent consequential *** address this issue,we propose a conformal prediction(CP)framework built on traditional ML models(extreme gradient boosting and random forest)to generate valid classifications of rockburst while producing a measure of confidence for its *** proposed framework guarantees marginal coverage and,in most cases,conditional coverage on the test *** CP was evaluated on a rockburst case in the Sanshandao Gold Mine in China,where it achieved high coverage and efficiency at applicable confidence ***,the CP identified several“confident”classifications from the traditional ML model as unreliable,necessitating expert verification for informed *** proposed framework improves the reliability and accuracy of rockburst assessments,with the potential to bolster user confidence.

关键词： Rockburst Machine learning Uncertainty quantification Conformal prediction

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Prevalence of Rifampicin Resistance and Associated Risk Factors among Suspected Multidrug Resistant Tuberculosis Cases in TB Centers Mogadishu-Somalia: Descriptive Study

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Open Journal of Respiratory Diseases 2016年第2期6卷 15-24页

作者： Ahmed Y. Guled Ayub Hassan Elmi Bashir Mohamud Abdi Abdihamid Mohamed Ali Rage Fartun Mohamed Ali abdullahi Hassan Abdinur abdullahi Abdulle Ali Anab Adam Ahmed Khadra abdullahi ibrahim Salah Osman Mohamed Fos Ali Mire Omar Abdi Adem Ali Dirie Osman Guuleed Hospital Mogadishu Somalia Faculty of Medicine Benadir University Mogadishu Somalia Department of Internal Medicine Benadir University Mogadishu Somalia

Introduction and Background: Multidrug-resistant tuberculosis (MDR-TB) has emerged as a significant global health concern. Patients who had failed previous TB treatment, relapsed after treatment, contacted known MDRTB patients or defaulted during previous treatment, and HIV patients are considered to be suspected and at high risk for developing drug resistant TB specially MDR-TB. However, there is little data available on the prevalence and trends of MDR tuberculosis in national level but luck of it in Mogadishu is our main concern. Methodology: This was a crosssectional, descriptive study involving all suspected MDR TB patients attended at the Mogadishu three Tb centers. Results: A total of 138 cases of suspected MDRTB patients were included in the study. Of these, 70 patients (51%) had rifampicin resistant-TB. Of the 138 study participants, 94 (68.62%) were between 21 - 40 years old that indicates the dominance of productive age group (21 - 40 years). Previous Tuberculosis treatment has been noted to be a major risk factor for development of multidrug resistance tuberculosis. MDR-TB prevalence is significantly higher in male than female patients. Conclusion and Interpretation: The prevalence of Rifampicin resistance among these high risk groups was significant. The high association of previous TB treatment to MDR-TB might be explained due to inappropriate anti-tubercular regimens, sub-optimal drugs, inadequate or irregular drug supply, unsatisfactory patient or clinician compliance, lack of supervision of treatment and absence of infection control measures in healthcare facilities. As the prevalence of MDRTB is high and yet the cases remain un-isolated in the community we recommend the MOH/NTP and funding agencies to facilitate establishment of MDRTB management centers earlier in Mogadishu in order to treat the MDRTB case otherwise it might Amplify of the incidence of this Emerging Disease.

关键词： Prevalence Risk Factors Tuberculosis Mogadishu

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Prevalence of Occupational Injury and Knowledge of Post-Exposure Prophylaxis Accessibility among Healthcare Workers in Mogadishu, Somalia

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Occupational Diseases and Environmental Medicine 2024年第3期12卷 172-198页

作者： Yonis abdullahi Ahmed Anshur Abdishakur Mohamud Sheik Miski abdullahi Roble abdullahi Mohamed Yasin abdullahi Ali Mohamed Fardowso Ali Mohamud Abdimalik Dahir Abdi Ikran abdullahi Isse Warda Adan ibrahim Mohamed Jimale Adan Ugbad Ahmed Daud Ahmed Aweis abdullahi Mohamed Hassan Fujeyra College of Medicine and Health Science Abrar University Mogadishu Somalia Directorate of Health-Banadir Regional Administration Mogadishu Somalia Mogadishu Somali Trkiye Training and Research Hospital Mogadishu Somalia Department Faculty of Medicine and Surgery Zamzam University of Science and Technology Mogadishu Somalia Banadir Maternity and Childhood Hospital Mogadishu Somalia Department Faculty of Medicine and Surgery Banadir University Mogadishu Somalia Faculty of Medicine & Surgery Somali National University Mogadishu Somalia

Introduction: Healthcare workers in Mogadishu, Somalia face significant occupational injury risks, particularly needle stick injuries, with 61.1% reporting incidents. This poses a serious threat to their health, leading to infections such as hepatitis B, hepatitis C, and HIV. Despite the high prevalence of injuries, awareness of Post-Exposure Prophylaxis (PEP) accessibility is relatively high, with 84.0% of respondents aware of it. However, there are gaps in knowledge and implementation, as evidenced by variations in availability of PEP. Improving workplace safety measures, providing comprehensive training on injury prevention and PEP protocols, and ensuring consistent availability of PEP in healthcare facilities are crucial steps to safeguard the well-being of healthcare workers in Mogadishu, Somalia. Methods: A cross-sectional study was conducted among hospital workers in Mogadishu, Somalia, focusing on professionals from various healthcare facilities. The study targeted nurses, doctors, laboratory personnel, and pharmacists. Purposive sampling was employed, resulting in a sample size of 383 calculated using Fisher’s sample size formula. Data were collected using coded questionnaires entered into Microsoft Excel 2019 and analyzed with SPSS software to generate frequencies and proportions, presented through frequency tables and pie figures. Results: The study in Mogadishu, Somalia, examined the prevalence of occupational injuries and knowledge of Post-Exposure Prophylaxis (PEP) accessibility among healthcare workers. Findings indicate a high prevalence of injuries, with 61.1% reporting incidents, predominantly needle stick injuries (60.6%). Despite the majority seeking prompt medical attention (72.0%), work-related illnesses affected 53.2% of respondents, notably work-related stress (59.5%). While most received training on injury and illness prevention (68.9%), gaps exist in PEP awareness, with 16.0% unaware of it. Nonetheless, 84.0% were aware, predominantly throu

关键词： Prevalence of Occupational Injury Post-Exposure Prophylaxis (PEP) Accessibility Healthcare Workers Needle Stick Injuries Infections (Hepatitis B Hepatitis C HIV) Awareness Knowledge Workplace Safety PEP Availability Blood-Borne Diseases Personal Protective Equipment (PPE) HIV PEP (Post-Exposure Prophylaxis)

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New insights into astrocyte diversity from the lens of transcriptional regulation and their implications for neurodegenerative disease treatments

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Neural Regeneration Research 2024年第11期19卷 2335-2336页

作者： ibrahim Olabayode Saliu Guoyan Zhao Department of Genetics Washington University School of MedicineSt.LouisMOUSA Department of Neurology Department of Pathology and ImmunologyWashington University School of MedicineSt.LouisMOUSA

Astrocytes are a major glial cell type in the central nervous system,and they provide trophic and metabolic support to *** addition to these roles,they play crucial roles in modulating synaptic functions,development,and pruning(Brandebura et al.,2023).Astrocytes become reactive(activated)by undergoing morphological,molecular,and functional alterations in response to neuropathology such as in injuries and neurodegenerative diseases(NDs)(Escartin et al.,2021).

关键词： degenerative injuries

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