82 results on '"Onoja, Anthony"'
Search Results
2. Determinants of melon farmers’ adaptation strategies to climate change hazards in south‒south Nigeria
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Aroyehun, Adeyinka Richard, Ugwuja, Vivian Chinelo, and Onoja, Anthony Ojonimi
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- 2024
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3. Interpretability from a new lens: Integrating Stratification and Domain knowledge for Biomedical Applications
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Onoja, Anthony and Raimondi, Francesco
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Computer Science - Machine Learning ,Computer Science - Human-Computer Interaction ,Quantitative Biology - Quantitative Methods - Abstract
The use of machine learning (ML) techniques in the biomedical field has become increasingly important, particularly with the large amounts of data generated by the aftermath of the COVID-19 pandemic. However, due to the complex nature of biomedical datasets and the use of black-box ML models, a lack of trust and adoption by domain experts can arise. In response, interpretable ML (IML) approaches have been developed, but the curse of dimensionality in biomedical datasets can lead to model instability. This paper proposes a novel computational strategy for the stratification of biomedical problem datasets into k-fold cross-validation (CVs) and integrating domain knowledge interpretation techniques embedded into the current state-of-the-art IML frameworks. This approach can improve model stability, establish trust, and provide explanations for outcomes generated by trained IML models. Specifically, the model outcome, such as aggregated feature weight importance, can be linked to further domain knowledge interpretations using techniques like pathway functional enrichment, drug targeting, and repurposing databases. Additionally, involving end-users and clinicians in focus group discussions before and after the choice of IML framework can help guide testable hypotheses, improve performance metrics, and build trustworthy and usable IML solutions in the biomedical field. Overall, this study highlights the potential of combining advanced computational techniques with domain knowledge interpretation to enhance the effectiveness of IML solutions in the context of complex biomedical datasets., Comment: 10 pages concept paper
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- 2023
4. Trends, Prospects, and Barriers in Promoting Regional Trade in Pulses/Legumes in the ECOWAS Region Under AfCFTA Regime
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Onoja, Anthony Ojonimi, primary and Obi, Ajuruchukwu, additional
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- 2023
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5. STATUS AND DETERMINANTS OF FARM HOUSEHOLD POVERTY IN SOUTH EAST, NIGERIA
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Onoja, Anthony Ojonimi, Onudorogu, Chinyere, Chagwiza, Clarietta, and Tagwi, Aluwani
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Poverty -- Nigeria ,Households -- Research -- Analysis ,Local government -- Nigeria ,Business ,Economics ,Business, international ,Regional focus/area studies ,World Bank Group. World Bank ,United Nations. Development Programme - Abstract
Nigeria, Africa's most populous nation faces a persistent challenge of poverty with over half of its population classified as multi-dimensionally poor. To address this global concern which is in tandem with SDG 1 (zero poverty), this research was designed to investigate the status of farm household, the determinants of poverty and coping strategies adopted by the affected households in the South Eastern Nigerian. Primary data were randomly collected from 140 farm households in Ideato South Local Government Area of Imo State, South West Nigeria. The cross-sectional data obtained were analyzed with descriptive statistics, multidimensional poverty index (MPI) and OLS regression models. Four functional forms of the OLS multiple regression models were estimated including the linear, semi-log, double log and exponential models. The best fit model was selected based on standard econometric criteria. The semi-log model was deemed the best model and therefore used for the final analysis. It was found that majority of the household heads are not well educated, thus making education a serious factor in the study area. The mean age of the household heads was 50 years with mean monthly income of about 543.82 US dollars (based on 2014 exchange rate of Nigerian Naira to USD). Empirical results of the multidimensional poverty based on 10 poverty indicators shows that the sampled population is poor with a weighted sum of MPI greater than 30. It was found that sex of household head, primary occupation of the household head, household size and household income were the major determinants of poverty. The major coping strategies adopted to cope with the household poverty are, buying of cheap items and changing consumption patterns to adjust to available income. The study recommends increased promotion of family planning usage, gender inclusive interventions and establishment of tailor-made poverty alleviation programs that address food insecurity and poverty. To boost the income earning capacities of farm households, government and donor agencies are recommended to provide social protection services to farm households. More research is needed on how farmers can access technologies that will help them improve agricultural productivity, promote their chances of participating in agri-preneurship. JEL Classifications: I3: Welfare, Well-Being, and Poverty, J1: Demographic Economics, D6: Welfare Economics Keywords: Poverty, Multi-Dimensional Poverty Indicators, farm household welfare, gender inclusion. Contact author's email address: Email: anthony.onoja@uniport.edu.ng, INTRODUCTION Nigeria, African biggest economy and an oil rich nation, which accounts for about half of West Africa's population with approximately 202 million people (World Bank 2019) is one of [...]
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- 2022
6. An explainable model of host genetic interactions linked to COVID-19 severity
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Onoja, Anthony, Picchiotti, Nicola, Fallerini, Chiara, Baldassarri, Margherita, Fava, Francesca, Colombo, Francesca, Chiaromonte, Francesca, Renieri, Alessandra, Furini, Simone, and Raimondi, Francesco
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- 2022
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7. Sustainable Cropping Intensification and Its Role on Profitability of Cassava-Based Farms in a Changing Climate: Evidence from Rivers State, Nigeria
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Onoja, Anthony Ojonimi, Obukonise, Helen Emuejevoke, Ajie, Eunice Ngozi, Leal Filho, Walter, Series Editor, Pretorius, Rudi, editor, and de Sousa, Luiza Olim, editor
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- 2021
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8. Women’s Empowerment in Agrifood Governance (WEAGov) assessment framework: A pilot study in Nigeria
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Ragasa, Catherine, primary, Kyle, Jordan, primary, Onoja, Anthony Ojonimi, primary, Achike, Anthonia I., primary, Adejoh, Stella O., primary, Onyenekwe, Chinasa S., primary, Koledoye, Gbenga F., primary, Ujor, Gloria C., primary, and Nwali, Perpetual Nkechi, primary
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- 2023
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9. FOOD SECURITY CHALLENGES: AN IMPEDIMENT TO ACHIEVING SUSTAINABLE DEVELOPMENT GOALS (SDGs 2) IN NIGERIA
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ONOJA, Anthony, ODUMU, Abraham Sunday, MOSES-OJO, Olufunke A., ONOJA, Anthony, ODUMU, Abraham Sunday, and MOSES-OJO, Olufunke A.
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SDGs-2 is about the shared responsibility to ensure that every one has access to nutrition and affordable food. The heightened interest in food security is the result of a recognition that a number of important factors constitute a setback to the success of SDGs-2 in Nigeria. The main objective of the study is to identify the challenges to achieving Sustainable Development Goals on food security in Nigeria. The theoretical framework of the paper is Political Economy Theory by Karl Marx (1883-1883). Methodologically, the paper used secondary data, the study primarily drew evaluation and statistical information from Federal Ministry of Agriculture and Food Security, National Bureau of Statistics, Nigerian Living Standard Survey, and SDGs Base line Reports. While the results have shown that the Nigerian government has embraced the idea of rolling out plans and programs to address the gaps in food security at one time or the other, little has been achieved in curbing insecurity in food. The findings from the study show that Nigeria has about 85 million hectares of land where almost everything can grow, currently produced 110,798 metric tons of seeds in 2022, which is a summation of some major seeds that are established in the formal seeds sector, has the manpower favorable for the advancement of Agriculture and to boost livestock as well as food security. The paper concludes that it is important government removes barriers that increases vulnerability to poverty and hunger by providing an integrated security strategy to address issues of security threats in the agricultural sector. The paper recommends that government should partner with key private agencies to increase investments in the agricultural sector by empowering small and medium scale farmers in particular with access to credits and modern tools.
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- 2024
10. Climate-Smart Agricultural Practices (CSA) Adoption by Crop Farmers in Semi-arid Regions of West and East Africa: Evidence from Nigeria and Ethiopia
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Onoja, Anthony O., Abraha, Amanuel Z., Girma, Atkilt, Achike, Anthonia I., Leal Filho, Walter, Series Editor, Castro, Paula, editor, Azul, Anabela Marisa, editor, and Azeiteiro, Ulisses M., editor
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- 2019
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11. Profitability of Cassava Based Farms Adopting Climate Smart Agriculture (CSA) Practices in Delta State, Nigeria
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Onoja, Anthony O., Agbomedarho, Joshua, Etela, Ibisime, Ajie, Eunice N., Leal Filho, Walter, Series Editor, Castro, Paula, editor, Azul, Anabela Marisa, editor, and Azeiteiro, Ulisses M., editor
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- 2019
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12. Challenges in Lipidomics Biomarker Identification: Avoiding the Pitfalls and Improving Reproducibility.
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von Gerichten, Johanna, Saunders, Kyle, Bailey, Melanie J., Gethings, Lee A., Onoja, Anthony, Geifman, Nophar, and Spick, Matt
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LIPIDOMICS ,SUPPORT vector machines ,OUTLIER detection ,RF values (Chromatography) ,MACHINE learning - Abstract
Identification of features with high levels of confidence in liquid chromatography–mass spectrometry (LC–MS) lipidomics research is an essential part of biomarker discovery, but existing software platforms can give inconsistent results, even from identical spectral data. This poses a clear challenge for reproducibility in biomarker identification. In this work, we illustrate the reproducibility gap for two open-access lipidomics platforms, MS DIAL and Lipostar, finding just 14.0% identification agreement when analyzing identical LC–MS spectra using default settings. Whilst the software platforms performed more consistently using fragmentation data, agreement was still only 36.1% for MS
2 spectra. This highlights the critical importance of validation across positive and negative LC–MS modes, as well as the manual curation of spectra and lipidomics software outputs, in order to reduce identification errors caused by closely related lipids and co-elution issues. This curation process can be supplemented by data-driven outlier detection in assessing spectral outputs, which is demonstrated here using a novel machine learning approach based on support vector machine regression combined with leave-one-out cross-validation. These steps are essential to reduce the frequency of false positive identifications and close the reproducibility gap, including between software platforms, which, for downstream users such as bioinformaticians and clinicians, can be an underappreciated source of biomarker identification errors. [ABSTRACT FROM AUTHOR]- Published
- 2024
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13. Sustainable Cropping Intensification and Its Role on Profitability of Cassava-Based Farms in a Changing Climate: Evidence from Rivers State, Nigeria
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Onoja, Anthony Ojonimi, primary, Obukonise, Helen Emuejevoke, additional, and Ajie, Eunice Ngozi, additional
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- 2021
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14. Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers
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Onoja, Anthony, primary, von Gerichten, Johanna, additional, Lewis, Holly-May, additional, Bailey, Melanie J., additional, Skene, Debra J., additional, Geifman, Nophar, additional, and Spick, Matt, additional
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- 2023
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15. Economic benefits from cassava in peri-urban multiple-cropping systems in Nigeria
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Onoja, Anthony Ojonimi, primary
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- 2019
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16. An integrated interpretable Machine Learning Framework for high-dimensional multi-omics datasets
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ONOJA, Anthony, Onoja, Anthony, and RAIMONDI, Francesco
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Settore INF/01 - Informatica - Published
- 2023
17. Chromosomal alterations in sporadic medullary thyroid carcinoma and correlation with outcome
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Ramone, Teresa, primary, Romei, Cristina, additional, Ciampi, Raffaele, additional, Casalini, Roberta, additional, Valetto, Angelo, additional, Bertini, Veronica, additional, Raimondi, Francesco, additional, Onoja, Anthony, additional, Prete, Alessandro, additional, Matrone, Antonio, additional, Gambale, Carla, additional, Piaggi, Paolo, additional, Torregrossa, Liborio, additional, Ugolini, Clara, additional, and Elisei, Rossella, additional
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- 2023
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18. WEAGov Nigeria pilot study: Findings and policy implications
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Onoja, Anthony; Achike, Anthonia; Adejoh, Stella; Onyenekwe, Chinasa; Koledoye, Gbenga; Ujor, Gloria; Nwali, Perpetual, Gender Equality, Ragasa, Catherine; Kyle, Jordan, http://orcid.org/0000-0002-8033-0784 Ragasa, Catherine; http://orcid.org/0000-0003-0551-8047 Kyle, Jordan, Onoja, Anthony; Achike, Anthonia; Adejoh, Stella; Onyenekwe, Chinasa; Koledoye, Gbenga; Ujor, Gloria; Nwali, Perpetual, Gender Equality, Ragasa, Catherine; Kyle, Jordan, and http://orcid.org/0000-0002-8033-0784 Ragasa, Catherine; http://orcid.org/0000-0003-0551-8047 Kyle, Jordan
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Non-PR, IFPRI1; G Cross-cutting gender theme; women’s empowerment in agrifood governance (weagov), Innovation Policy and Scaling (IPS); Transformation Strategies; Poverty, Gender, and Inclusion (PGI); Food and Nutrition Policy, WEAGov assesses the state of women’s voice and agency in national agrifood policymaking. Like IFPRI’s Kaleidoscope Model, it adopts a policy process approach, looking at every stage of the policy cycle — from why certain issues become salient and how policy solutions to address them are designed, to the organizational strategies and budgetary outlays that shape policy implementation, to how policies are assessed against their objectives. Within each of these stages, WEAGov examines whether women are being considered, whether their voices are included, and whether they are influencing actions and decisions.
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- 2023
19. Women’s Empowerment in Agrifood Governance (WEAGov) assessment framework: A pilot study in Nigeria
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Gender Equality, Ragasa, Catherine; Kyle, Jordan; Onoja, Anthony Ojonimi; Achika, Anthonia I.; Adejoh, Stella O.; Onyenekwe, Chinasa S; Koledoye, Gbenga; Ujor, Gloria C.; Nwali, Perpetual Nkechi, http://orcid.org/0000-0002-8033-0784 Ragasa, Catherine; http://orcid.org/0000-0003-0551-8047 Kyle, Jordan, Gender Equality, Ragasa, Catherine; Kyle, Jordan; Onoja, Anthony Ojonimi; Achika, Anthonia I.; Adejoh, Stella O.; Onyenekwe, Chinasa S; Koledoye, Gbenga; Ujor, Gloria C.; Nwali, Perpetual Nkechi, and http://orcid.org/0000-0002-8033-0784 Ragasa, Catherine; http://orcid.org/0000-0003-0551-8047 Kyle, Jordan
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Non-PR, 5 Strengthening Institutions and Governance; G Cross-cutting gender theme; IFPRI1; DCA; Capacity Strengthening; Women’s Empowerment in Agriculture Index, Innovation Policy and Scaling (IPS); Transformation Strategies; Poverty, Gender, and Inclusion (PGI); Food and Nutrition Policy, Women’s equal participation and leadership in political and public life can boost a country’s long-run economic growth, foster social inclusion, and help countries reach the 2030 Sustainable Development Goals (SDGs). Beyond these important outcomes, women’s inclusion in public life is a basic human right: women deserve a role in making decisions, controlling resources, and shaping policies. Despite the importance of women’s voices and their empowerment in policy and decision-making processes, it is far easier to lament their absence than to define and measure them. We know that political empowerment, measured in terms of the share of women in government ministries and parliament, is low and is the weakest dimension in the Global Gender Gap. Yet such national statistics, while important and informative, risk mismeasuring women’s participation and influence in public life and do not give policymakers and advocacy organizations traction on specific gaps and opportunities for increasing women’s voice in policymaking. With this situation in mind and focusing on agrifood systems, which are crucial for delivering the SDGs, we developed an assessment framework—Women’s Empowerment in Agrifood Governance (WEAGov)— to assess women’s voice and empowerment in national policy processes in agrifood systems. This paper presents the first pilot-testing of WEAGov in Nigeria. In this paper, we present how the WEAGov tool works in the Nigerian context, analyze the data, and provide diagnostic on the status of women’s voice and empowerment in the agrifood policy process. As discussed in this paper, the pilot-testing in Nigeria provides useful lessons toward improving the measurement for future use and provides valuable policy insights on critical entry points for increasing women’s voice and empowerment in the national agrifood policy process.
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- 2023
20. An Explainable Host Genetic Severity Predictor Model for COVID-19 Patients
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Onoja, Anthony, primary, Raimondi, Francesco, additional, and Nanni, Mirco, additional
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- 2023
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21. A Comparative Analysis of Productivities in Shellfish Collection in Oil Spill and Non-Oil Spill Communities of River State, Nigeria
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Mercy Ebere, Ndubueze-Ogaraku, Onoja, Anthony. O, and Monsi, Blessing
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- 2016
22. Salvage Value from Deterioration (SVD): A Three-Parameter Weibull Distribution Inventory Model Approach
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Ogundare, Oluwabunmi Chidinma, primary and Onoja, Anthony, additional
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- 2023
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23. Opportunities, Progress and Challenges in Carbon Emission Pricing and Markets for East and South African Regions
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Maumoh, Immaculate, primary, Onoja, Anthony, additional, Alhassan, Iddisah, additional, and MUHIDEEN, SAYIBU, additional
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- 2022
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24. Large-Scale Land Acquisitions by Foreign Investors in West Africa : Learning Points
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Onoja, Anthony O. and Achike, Anthonia I.
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- 2015
25. Impact of Poverty Alleviation Programmes on Indigenous Women’s Economic Empowerment in Nigeria : Evidence From Port Harcourt Metropolis
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Deedam, Nua J. and Onoja, Anthony O.
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- 2015
26. Economic Survey of Oil Palm Products’ Processing and Marketing in Kogi State, Nigeria
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Onoja, Anthony Ojonimi and Ogali, T. U.
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- 2015
27. An Integrated Big Data Model to Salvage Nigeria's Insecurity Challenges
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Onoja Anthony, Kembe Msugh Moses, Bwebum C. Dang, and Obilikwu Patrick
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Big Data ,Data Integration ,Information sharing ,National Security ,Crime - Abstract
There is no doubt about the tremendous achievement of Big Data since its inception in recent times. Developed nations like the United States, Germany, and Australia are utilizing it along with manpower skillsets in their fight against crime and recorded tremendous success. In Nigeria, the fight against insurgence and local crime has witnessed an upsurge in recent times ranging from multiple attacks recorded by the Islamic State of West Africa Province, Boko Haram, Fulani Herdsmen and Farmers' clashes, Bandits, Cyber-crimes, Kidnapping, IPOB, and other civic unrest such as the ENDSAR protest. These have overwhelmed the present security architecture which has often struggled to contain the situation and restore peace to warring factions. This study, therefore, proposed an Integrated Big Data for Security Information Sharing (IBDSIS) model that integrates datasets from databases of security agencies, non-paramilitary organizations, and Internet of Things (IoT) devices in Nigeria to form a holistic cloud-based information sharing platform. The implementation steps and strategies proposed by this study to adopt the IBDSIS modeling framework into the current national security architecture can bring together domain experts and data scientists to analyze tones of datasets pooled together using artificial intelligence, machine learning, and graphical visualization techniques to observe hidden patterns and insights for knowledge discoveries. The results of their analyses (products) will be customized into web applications and continuously update and deploy for security agencies' utilization in the fight against insecurity and external aggression. Our study expounds on related literature on common data models, big data, and applications to national security. We proposed the implementation steps and strategies for the adoption of the IBDSIS architectural modeling framework for information sharing by the relevant security agencies.
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- 2022
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28. Determinants of Market Participation in Nigerian Small-Scale Fishery Sector : Evidence from Niger Delta Region
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Onoja, Anthony O., Usoroh, B. B., Adieme, D. T., and Deedam, N.J.
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- 2013
29. Econometric Analysis of Factors Influencing Fuel Wood Demand in Rural and Peri-Urban Farm Households of Kogi State
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Onoja, Anthony O. and Idoko, Ojochenemi
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- 2012
30. An explainable model of host genetic interactions linked to COVID-19 severity
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Anthony, O, Nicola, P, Chiara, F, Margherita, B, Francesca, F, Francesca, C, Alessandra, R, Simone, F, Francesco, R, Mari, F, Daga, S, Benetti, E, Bruttini, M, Palmieri, M, Croci, S, Amitrano, S, Meloni, I, Frullanti, E, Doddato, G, Lista, M, Beligni, G, Valentino, F, Zguro, K, Tita, R, Giliberti, A, Antonietta Mencarelli, M, Lo Rizzo, C, Maria Pinto, A, Ariani, F, Di Sarno, L, Montagnani, F, Tumbarello, M, Rancan, I, Fabbiani, M, Rossetti, B, Bergantini, L, D’Alessandro, M, Cameli, P, Bennett, D, Anedda, F, Marcantonio, S, Scolletta, S, Franchi, F, Antonietta Mazzei, M, Guerrini, S, Conticini, E, Cantarini, L, Frediani, B, Tacconi, D, Spertilli Raffaelli, C, Feri, M, Donati, A, Scala, R, Guidelli, L, Spargi, G, Corridi, M, Nencioni, C, Croci, L, Piero Caldarelli, G, Romani, D, Piacentini, P, Bandini, M, Desanctis, E, Cappelli, S, Canaccini, A, Verzuri, A, Anemoli, V, Pisani, M, Ognibene, A, Pancrazzi, A, Lorubbio, M, Vaghi, M, D’Arminio Monforte, A, Gaia Miraglia, F, Bruno, R, Vecchia, M, Girardis, M, Venturelli, S, Busani, S, Cossarizza, A, Antinori, A, Vergori, A, Emiliozzi, A, Rusconi, S, Siano, M, Gabrieli, A, Riva, A, Francisci, D, Schiaroli, E, Paciosi, F, Tommasi, A, Zuccon, U, Vietri, L, Giorgio Scotton, P, Andretta, F, Panese, S, Baratti, S, Scaggiante, R, Gatti, F, Giuseppe Parisi, S, Castelli, F, Quiros-Roldan, E, Degli Antoni, M, Zanella, I, Della Monica, M, Piscopo, C, Capasso, M, Russo, R, Andolfo, I, Iolascon, A, Fiorentino, G, Carella, M, Castori, M, Aucella, F, Raggi, P, Perna, R, Bassetti, M, Di Biagio, A, Sanguinetti, M, Masucci, L, Guarnaccia, A, Valente, S, De Vivo, O, Bargagli, E, Mandalà, M, Giorli, A, Salerni, L, Zucchi, P, Parravicini, P, Menatti, E, Trotta, T, Giannattasio, F, Coiro, G, Lena, F, Lacerenza, G, Coviello, D, Mussini, C, Martinelli, E, Tavecchia, L, Ann Belli, M, Crotti, L, Parati, G, Sanarico, M, Biscarini, F, Stella, A, Rizzi, M, Maggiolo, F, Ripamonti, D, Suardi, C, Bachetti, T, Teresa La Rovere, M, Sarzi-Braga, S, Bussotti, M, Capitani, K, Dei, S, Ravaglia, S, Artuso, R, Andreucci, E, Gori, G, Pagliazzi, A, Fiorentini, E, Perrella, A, Bianchi, F, Bergomi, P, Catena, E, Colombo, R, Luchi, S, Morelli, G, Petrocelli, P, Iacopini, S, Modica, S, Baroni, S, Vladimiro Segala, F, Menichetti, F, Falcone, M, Tiseo, G, Barbieri, C, Matucci, T, Grassi, D, Ferri, C, Marinangeli, F, Brancati, F, Vincenti, A, Borgo, V, Lombardi, S, Lenzi, M, Antonio Di Pietro, M, Vichi, F, Romanin, B, Attala, L, Costa, C, Gabbuti, A, Menè, R, Colaneri, M, Casprini, P, Merla, G, Maria Squeo, G, Maffezzoni, M, Mantovani, S, Mondelli &, M, Ludovisi, S, Onoja, Anthony, Picchiotti, Nicola, Fallerini, Chiara, Baldassarri, Margherita, Fava, Francesca, Colombo, Francesca, Chiaromonte, Francesca, Renieri, Alessandra, Furini, Simone, Raimondi Francesco, Francesca Mari, Sergio Daga, Elisa Benetti, Mirella Bruttini, Maria Palmieri, Susanna Croci, Sara Amitrano, Ilaria Meloni, Elisa Frullanti, Gabriella Doddato, Mirjam Lista, Giada Beligni, Floriana Valentino, Kristina Zguro, Rossella Tita, Annarita Giliberti, Maria Antonietta Mencarelli, Caterina Lo Rizzo, Anna Maria Pinto, Francesca Ariani, Laura Di Sarno, Francesca Montagnani, Mario Tumbarello, Ilaria Rancan, Massimiliano Fabbiani, Barbara Rossetti, Laura Bergantini, Miriana D’Alessandro, Paolo Cameli, David Bennett, Federico Anedda, Simona Marcantonio, Sabino Scolletta, Federico Franchi, Maria Antonietta Mazzei, Susanna Guerrini, Edoardo Conticini, Luca Cantarini, Bruno Frediani, Danilo Tacconi, Chiara Spertilli Raffaelli, Marco Feri, Alice Donati, Raffaele Scala, Luca Guidelli, Genni Spargi, Marta Corridi, Cesira Nencioni, Leonardo Croci, Gian Piero Caldarelli, Davide Romani, Paolo Piacentini, Maria Bandini, Elena Desanctis, Silvia Cappelli, Anna Canaccini, Agnese Verzuri, Valentina Anemoli, Manola Pisani, Agostino Ognibene, Alessandro Pancrazzi, Maria Lorubbio, Massimo Vaghi, Antonella D’Arminio Monforte, Federica Gaia Miraglia, Raffaele Bruno, Marco Vecchia, Massimo Girardis, Sophie Venturelli, Stefano Busani, Andrea Cossarizza, Andrea Antinori, Alessandra Vergori, Arianna Emiliozzi, Stefano Rusconi, Matteo Siano, Arianna Gabrieli, Agostino Riva, Daniela Francisci, Elisabetta Schiaroli, Francesco Paciosi, Andrea Tommasi, Umberto Zuccon, Lucia Vietri, Pier Giorgio Scotton, Francesca Andretta, Sandro Panese, Stefano Baratti, Renzo Scaggiante, Francesca Gatti, Saverio Giuseppe Parisi, Francesco Castelli, Eugenia Quiros-Roldan, Melania Degli Antoni, Isabella Zanella, Matteo Della Monica, Carmelo Piscopo, Mario Capasso, Roberta Russo, Immacolata Andolfo, Achille Iolascon, Giuseppe Fiorentino, Massimo Carella, Marco Castori, Filippo Aucella, Pamela Raggi, Rita Perna, Matteo Bassetti, Antonio Di Biagio, Maurizio Sanguinetti, Luca Masucci, Alessandra Guarnaccia, Serafina Valente, Oreste De Vivo, Elena Bargagli, Marco Mandalà, Alessia Giorli, Lorenzo Salerni, Patrizia Zucchi, Pierpaolo Parravicini, Elisabetta Menatti, Tullio Trotta, Ferdinando Giannattasio, Gabriella Coiro, Fabio Lena, Gianluca Lacerenza, Domenico A. Coviello, Cristina Mussini, Enrico Martinelli, Luisa Tavecchia, Mary Ann Belli, Lia Crotti, Gianfranco Parati, Maurizio Sanarico, Filippo Biscarini, Alessandra Stella, Marco Rizzi, Franco Maggiolo, Diego Ripamonti, Claudia Suardi, Tiziana Bachetti, Maria Teresa La Rovere, Simona Sarzi-Braga, Maurizio Bussotti, Katia Capitani, Simona Dei, Sabrina Ravaglia, Rosangela Artuso, Elena Andreucci, Giulia Gori, Angelica Pagliazzi, Erika Fiorentini, Antonio Perrella, Francesco Bianchi, Paola Bergomi, Emanuele Catena, Riccardo Colombo, Sauro Luchi, Giovanna Morelli, Paola Petrocelli, Sarah Iacopini, Sara Modica, Silvia Baroni, Francesco Vladimiro Segala, Francesco Menichetti, Marco Falcone, Giusy Tiseo, Chiara Barbieri, Tommaso Matucci, Davide Grassi, Claudio Ferri, Franco Marinangeli, Francesco Brancati, Antonella Vincenti, Valentina Borgo, Stefania Lombardi, Mirco Lenzi, Massimo Antonio Di Pietro, Francesca Vichi, Benedetta Romanin, Letizia Attala, Cecilia Costa, Andrea Gabbuti, Roberto Menè, Marta Colaneri, Patrizia Casprini, Giuseppe Merla, Gabriella Maria Squeo, Marcello Maffezzoni, Stefania Mantovani, Mario U. Mondelli &, Serena Ludovisi, Anthony, O, Nicola, P, Chiara, F, Margherita, B, Francesca, F, Francesca, C, Alessandra, R, Simone, F, Francesco, R, Mari, F, Daga, S, Benetti, E, Bruttini, M, Palmieri, M, Croci, S, Amitrano, S, Meloni, I, Frullanti, E, Doddato, G, Lista, M, Beligni, G, Valentino, F, Zguro, K, Tita, R, Giliberti, A, Antonietta Mencarelli, M, Lo Rizzo, C, Maria Pinto, A, Ariani, F, Di Sarno, L, Montagnani, F, Tumbarello, M, Rancan, I, Fabbiani, M, Rossetti, B, Bergantini, L, D’Alessandro, M, Cameli, P, Bennett, D, Anedda, F, Marcantonio, S, Scolletta, S, Franchi, F, Antonietta Mazzei, M, Guerrini, S, Conticini, E, Cantarini, L, Frediani, B, Tacconi, D, Spertilli Raffaelli, C, Feri, M, Donati, A, Scala, R, Guidelli, L, Spargi, G, Corridi, M, Nencioni, C, Croci, L, Piero Caldarelli, G, Romani, D, Piacentini, P, Bandini, M, Desanctis, E, Cappelli, S, Canaccini, A, Verzuri, A, Anemoli, V, Pisani, M, Ognibene, A, Pancrazzi, A, Lorubbio, M, Vaghi, M, D’Arminio Monforte, A, Gaia Miraglia, F, Bruno, R, Vecchia, M, Girardis, M, Venturelli, S, Busani, S, Cossarizza, A, Antinori, A, Vergori, A, Emiliozzi, A, Rusconi, S, Siano, M, Gabrieli, A, Riva, A, Francisci, D, Schiaroli, E, Paciosi, F, Tommasi, A, Zuccon, U, Vietri, L, Giorgio Scotton, P, Andretta, F, Panese, S, Baratti, S, Scaggiante, R, Gatti, F, Giuseppe Parisi, S, Castelli, F, Quiros-Roldan, E, Degli Antoni, M, Zanella, I, Della Monica, M, Piscopo, C, Capasso, M, Russo, R, Andolfo, I, Iolascon, A, Fiorentino, G, Carella, M, Castori, M, Aucella, F, Raggi, P, Perna, R, Bassetti, M, Di Biagio, A, Sanguinetti, M, Masucci, L, Guarnaccia, A, Valente, S, De Vivo, O, Bargagli, E, Mandalà, M, Giorli, A, Salerni, L, Zucchi, P, Parravicini, P, Menatti, E, Trotta, T, Giannattasio, F, Coiro, G, Lena, F, Lacerenza, G, Coviello, D, Mussini, C, Martinelli, E, Tavecchia, L, Ann Belli, M, Crotti, L, Parati, G, Sanarico, M, Biscarini, F, Stella, A, Rizzi, M, Maggiolo, F, Ripamonti, D, Suardi, C, Bachetti, T, Teresa La Rovere, M, Sarzi-Braga, S, Bussotti, M, Capitani, K, Dei, S, Ravaglia, S, Artuso, R, Andreucci, E, Gori, G, Pagliazzi, A, Fiorentini, E, Perrella, A, Bianchi, F, Bergomi, P, Catena, E, Colombo, R, Luchi, S, Morelli, G, Petrocelli, P, Iacopini, S, Modica, S, Baroni, S, Vladimiro Segala, F, Menichetti, F, Falcone, M, Tiseo, G, Barbieri, C, Matucci, T, Grassi, D, Ferri, C, Marinangeli, F, Brancati, F, Vincenti, A, Borgo, V, Lombardi, S, Lenzi, M, Antonio Di Pietro, M, Vichi, F, Romanin, B, Attala, L, Costa, C, Gabbuti, A, Menè, R, Colaneri, M, Casprini, P, Merla, G, Maria Squeo, G, Maffezzoni, M, Mantovani, S, Mondelli &, M, Ludovisi, S, Onoja, Anthony, Picchiotti, Nicola, Fallerini, Chiara, Baldassarri, Margherita, Fava, Francesca, Colombo, Francesca, Chiaromonte, Francesca, Renieri, Alessandra, Furini, Simone, Raimondi Francesco, Francesca Mari, Sergio Daga, Elisa Benetti, Mirella Bruttini, Maria Palmieri, Susanna Croci, Sara Amitrano, Ilaria Meloni, Elisa Frullanti, Gabriella Doddato, Mirjam Lista, Giada Beligni, Floriana Valentino, Kristina Zguro, Rossella Tita, Annarita Giliberti, Maria Antonietta Mencarelli, Caterina Lo Rizzo, Anna Maria Pinto, Francesca Ariani, Laura Di Sarno, Francesca Montagnani, Mario Tumbarello, Ilaria Rancan, Massimiliano Fabbiani, Barbara Rossetti, Laura Bergantini, Miriana D’Alessandro, Paolo Cameli, David Bennett, Federico Anedda, Simona Marcantonio, Sabino Scolletta, Federico Franchi, Maria Antonietta Mazzei, Susanna Guerrini, Edoardo Conticini, Luca Cantarini, Bruno Frediani, Danilo Tacconi, Chiara Spertilli Raffaelli, Marco Feri, Alice Donati, Raffaele Scala, Luca Guidelli, Genni Spargi, Marta Corridi, Cesira Nencioni, Leonardo Croci, Gian Piero Caldarelli, Davide Romani, Paolo Piacentini, Maria Bandini, Elena Desanctis, Silvia Cappelli, Anna Canaccini, Agnese Verzuri, Valentina Anemoli, Manola Pisani, Agostino Ognibene, Alessandro Pancrazzi, Maria Lorubbio, Massimo Vaghi, Antonella D’Arminio Monforte, Federica Gaia Miraglia, Raffaele Bruno, Marco Vecchia, Massimo Girardis, Sophie Venturelli, Stefano Busani, Andrea Cossarizza, Andrea Antinori, Alessandra Vergori, Arianna Emiliozzi, Stefano Rusconi, Matteo Siano, Arianna Gabrieli, Agostino Riva, Daniela Francisci, Elisabetta Schiaroli, Francesco Paciosi, Andrea Tommasi, Umberto Zuccon, Lucia Vietri, Pier Giorgio Scotton, Francesca Andretta, Sandro Panese, Stefano Baratti, Renzo Scaggiante, Francesca Gatti, Saverio Giuseppe Parisi, Francesco Castelli, Eugenia Quiros-Roldan, Melania Degli Antoni, Isabella Zanella, Matteo Della Monica, Carmelo Piscopo, Mario Capasso, Roberta Russo, Immacolata Andolfo, Achille Iolascon, Giuseppe Fiorentino, Massimo Carella, Marco Castori, Filippo Aucella, Pamela Raggi, Rita Perna, Matteo Bassetti, Antonio Di Biagio, Maurizio Sanguinetti, Luca Masucci, Alessandra Guarnaccia, Serafina Valente, Oreste De Vivo, Elena Bargagli, Marco Mandalà, Alessia Giorli, Lorenzo Salerni, Patrizia Zucchi, Pierpaolo Parravicini, Elisabetta Menatti, Tullio Trotta, Ferdinando Giannattasio, Gabriella Coiro, Fabio Lena, Gianluca Lacerenza, Domenico A. Coviello, Cristina Mussini, Enrico Martinelli, Luisa Tavecchia, Mary Ann Belli, Lia Crotti, Gianfranco Parati, Maurizio Sanarico, Filippo Biscarini, Alessandra Stella, Marco Rizzi, Franco Maggiolo, Diego Ripamonti, Claudia Suardi, Tiziana Bachetti, Maria Teresa La Rovere, Simona Sarzi-Braga, Maurizio Bussotti, Katia Capitani, Simona Dei, Sabrina Ravaglia, Rosangela Artuso, Elena Andreucci, Giulia Gori, Angelica Pagliazzi, Erika Fiorentini, Antonio Perrella, Francesco Bianchi, Paola Bergomi, Emanuele Catena, Riccardo Colombo, Sauro Luchi, Giovanna Morelli, Paola Petrocelli, Sarah Iacopini, Sara Modica, Silvia Baroni, Francesco Vladimiro Segala, Francesco Menichetti, Marco Falcone, Giusy Tiseo, Chiara Barbieri, Tommaso Matucci, Davide Grassi, Claudio Ferri, Franco Marinangeli, Francesco Brancati, Antonella Vincenti, Valentina Borgo, Stefania Lombardi, Mirco Lenzi, Massimo Antonio Di Pietro, Francesca Vichi, Benedetta Romanin, Letizia Attala, Cecilia Costa, Andrea Gabbuti, Roberto Menè, Marta Colaneri, Patrizia Casprini, Giuseppe Merla, Gabriella Maria Squeo, Marcello Maffezzoni, Stefania Mantovani, Mario U. Mondelli &, and Serena Ludovisi
- Abstract
We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as “Respiratory or thoracic disease”, supporting their link with COVID-19 severity outcome.
- Published
- 2022
31. An Optimization of Outpatients’ Waiting Time and Health-related Risks
- Author
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Onoja, Anthony, primary, Ogundare, Oluwabunmi Chidinma, additional, and Tejuoso, Funso Emmanuel, additional
- Published
- 2022
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32. An explainable model of host genetic interactions linked to COVID-19 severity
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Onoja, Anthony, primary, Picchiotti, Nicola, additional, Fallerini, Chiara, additional, Baldassarri, Margherita, additional, Fava, Francesca, additional, Study, GEN-COVID Multicenter, additional, Colombo, Francesca, additional, Chiaromonte, Francesca, additional, Renieri, Alessandra, additional, Furini, Simone, additional, and Raimondi, Francesco, additional
- Published
- 2022
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- View/download PDF
33. Urban Population Growth and Per Capita Income's Effect on Nigerian Ruminant Livestock Production System
- Author
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Onoja, Anthony Ojonimi, primary
- Published
- 2022
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34. An explainable model of host genetic interactions linked to COVID-19 severity
- Author
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Onoja, Anthony, primary, Picchiotti, Nicola, additional, Fallerini, Chiara, additional, Baldassarri, Margherita, additional, Fava, Francesca, additional, Colombo, Francesca, additional, Chiaromonte, Francesca, additional, Renieri, Alessandra, additional, Furini, Simone, additional, and Raimondi, Francesco, additional
- Published
- 2021
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35. Trends and Determinants of Cereal Productivity Growth in Southern Africa Region: A DEA and Cointegration Approach
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Onoja, Anthony
- Subjects
Productivity Analysis ,Crop Production/Industries - Abstract
Paper# 19610
- Published
- 2021
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36. Interpretable machine learning approach for predicting COVID-19 risk status of an individual
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Onoja, Anthony, primary, Ejiwale, Mary Oyinlade, additional, and Rewane, Ayesan, additional
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- 2021
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37. Impact of Remittances Inflows and Macroeconomic Stability on Poverty in Nigeria (1977-2014)
- Author
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Onoja, Anthony O., primary and Chagwiza, Clarietta, additional
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- 2020
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38. Large-Scale Land Acquisitions by Foreign Investors in West Africa: Learning Points
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Onoja, Anthony O. and Achike, Anthonia I.
- Subjects
Land tenure--Government policy ,Investments, Foreign--Government policy ,Sustainability ,Investments, Foreign ,Land use--Government policy ,Food security ,Land tenure ,Africans - Abstract
Recent reports indicating that large portions of land (estimated 50-80m hectares) have been bought by international investors in middle- and low-income countries, with roughly two-thirds of those purchases occurring in sub-Saharan Africa, calls for a cursory appraisal of the implications of the trend of land grabbing for West African food security. This study reviews cases of land grabbing by foreign investors in West Africa, identifies the possible drivers of large-scale land acquisition by foreign investors in the region, and discusses the implications of the findings for agricultural and land policy reforms in West Africa. Land transactions involving foreign investors have increased in the area over the past 10 years. Over 100,000 ha have been documented in Nigeria. Ghana and Mali have many significant transactions on land by foreign investors. Several investors have more than 100,000ha. Burkina Faso has one significant land transaction (200,000 ha) while Niger and Senegal have relatively small land transactions. Most lands grabbed in West Africa were profit driven (by biofuel investors) and were made under the guise of using the lands acquired for agricultural investments. There were noted dangers in the deals with respect to food security drive, food safety, environmental safety, employment generation, and land tenure threats, which endangered peace, sovereignty, and the economic wellbeing of citizens. We recommend applying a regional approach by African countries, implementing land reforms that will involve the local communities who own the land, stopping long-term leasing beyond 50 years, building capacity, and creating awareness about land transactions of large magnitudes., Consilience, No 14 (2015): Issue Fourteen: 2015
- Published
- 2020
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- View/download PDF
39. A Comparative Analysis of Productivities in Shellfish Collection in Oil Spill and Non-Oil Spill Communities of River State, Nigeria
- Author
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Ndubueze-Ogaraku, Mercy Ebere, Onoja, Anthony, and Monsi, Blessing
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Fishes--Effect of oil spills on ,Sustainability ,Sustainable development ,Shellfish fisheries--Economic aspects ,Shellfish fisheries ,Aquatic sciences ,Oil spills--Environmental aspects ,Shellfish fisheries--Environmental aspects - Abstract
This study compares the incomes generated from periwinkle and dog-winkle catch amongst farmers in oil spill- affected and non-oil -spill-affected areas in Gokana and Khana Local Government Areas, Rivers State, Nigeria. A total of 120 farmers were randomly selected and data were collected using structured questionnaires and personal interviews. Analytical tools used included descriptive statistics, net income model, T- test and regression analysis model. Results indicated that income realized by the farmers from shellfish sales in non-oil spill-affected Local Government was higher than that of the oil spill-affected Local Government Area per annum and was estimated as ₦407,812.79.00 and ₦182,485.00 respectively. The level of profit recorded among the farmers in the two areas was significantly different with a T-value of 14.42. The null hypothesis was rejected. The regression model employed three functional forms; linear, semi log and double log. Linear model was chosen as the lead equation because of the highest R2 of 59%. Cost of labor and transportation had significant effect on the level of profit. Cost of labor positively influenced profit while cost of transportation negatively influenced the profit. It is recommended that government intervention programs provide a cheaper means of transportation in the area., Consilience, No 15 (2016): Issue Fifteen: 2016
- Published
- 2020
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40. Econometric Analysis of Factors Influencing Fuel Wood Demand in Rural and Peri-Urban Farm Households of Kogi State
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Onoja, Anthony O. and Idoko, Ojochenemi
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Power resources--Supply and demand ,Fuelwood consumption ,Sustainability ,Fuel--Prices ,Fuelwood--Prices ,Fuelwood consumption--Economic aspects ,Deforestation--Economic aspects ,Power resources - Abstract
This study was designed to determine variables influencing fuelwood demand in rural areas of Kogi State. Eighty households were randomly sampled from all the Agricultural Zones of the state. A 2SLS method was then used for estimation of the coefficients of the simultaneous equation model. The most significant determinants of fuelwood demand in the study area are the price of fuelwood, kerosene’s price, household size and personal incomes of the household heads. In light of this study’s findings, recommendations included reduction of kerosene prices, investment in renewable energy, cooking gas and electricity and use of agricultural extension agents to educate farmers on sustainable farming., Consilience, No 8 (2012): Issue Eight: 2012
- Published
- 2020
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41. A Propose Machine Learning approach for Monitoring Individual's Health Status on Corona virus (COVID19) cases
- Author
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Onoja Anthony
- Published
- 2020
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42. Economic Survey of Oil Palm Products’ Processing and Marketing in Kogi State, Nigeria
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Ojonimi Onoja, Anthony and Ogali, T. U.
- Abstract
This study was designed to ascertain the level of profitability and inherent problems derivable from oil palm products’ processing and marketing in Kogi State of Nigeria. Primary data used for the study was obtained through the use of structured questionnaire and oral interviews. From the six agricultural Zones in Kogi State a total sample size of 60 was finally drawn to form the sampling frame from 3 Agricultural Zones. Descriptive statistics were used to attain objectives 1 and 3; while objective 2 was attained by the use of gross margin analysis. Majority of the farmers obtained their Fresh Fruit Bunches for processing from the village or open market (50%); oil palm processing and marketing is profitable business in the area with a gross margin of N603,320.00K and gross margin ratio of 2.72 from an average enterprise; problems identified in the enterprises included fluctuating prices, lack of basic infrastructure and inputs such as capital and processing machines. The study recommended the need for government to hasten the supply of rural infrastructure, reduce taxes and let processors/marketers be encouraged to form cooperatives so as to access credit., Consilience, No 13 (2015): Issue Thirteen: 2015
- Published
- 2019
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43. CORPORATE SOCIAL RESPONSIBILITY AND PROFITABILITY OF QUOTED NIGERIAN FIRMS: THE MEDIATING EFFECT OF FIRM SIZE
- Author
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Idoko Onoja, Anthony, Iember Ashiko, Evelyn, Shakpande, Comfort, Idoko Onoja, Anthony, Iember Ashiko, Evelyn, and Shakpande, Comfort
- Abstract
The study examines the link between Corporate Social Responsibility (CSR) and profitability with emphasis on the role of firm size. The population consists of 106 quoted Nigerian non-financial firms, out of which a sample of 86 firms was selected based on data availability. Using hierarchical linear regression analysis, the study found evidence that firm size has significant effect on the CSR-Profitability link; confirming that larger firms have the capacity to invest in CSR activities more than their smaller counterparts. It is also found that corporate donations and employee relations have significant positive effect on profitability of the firms and that this effect is significantly improved by the mediating variable. The results are consistent with Stakeholders theory and suggest that responsible business practices towards primary stakeholders can be profitable and beneficial to Nigerian firms. These results justify the existing corporate investments in CSR activities. Therefore, the study recommends that Nigerian firms should adopt CSR strategy for creating shared value (CSV); mitigating risks (of corruption, scandals and environmental accidents); attracting and retaining quality workforce; gaining competitive advantage and improving financial performance. Regulatory authorities on their part should evolve measures that monitor corporate investment in CSR to promote an honest culture of sustainable economic development.
- Published
- 2020
44. AN OPTIMIZATION OF OUTPATIENTS' WAITING TIME AND HEALTH-RELATED RISKS.
- Author
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ONOJA, Anthony, CHIDINMA OGUNDARE, Oluwabunmi, and EMMANUEL TEJUOSO, Funso
- Subjects
FINANCIAL management ,OUTPATIENT medical care ,COMPUTER software ,SURGICAL complications ,PARAMETER estimation - Abstract
The study of optimal queuing systems in healthcare is crucial at such a time as this to help decongest the system, and minimize financial losses and health-related risks associated with long waiting queues. This study examined a queuing system at an outpatient hospital clinic post intending to minimize waiting time in association with financial cost and healthcare-related risks. We observed the queuing system using the sampling survey information of 200 outpatients that visited the clinic for 4 weeks. We used the initial queuing ground truth parameters as the baseline scenario and further simulated 4 other queuing scenarios using the TORA optimization software. We calculated the total expected cost associated with the server(s) (Doctors) and the patients while in the queuing system for each scenario. We further discretize their health-related complications and calculated the incidence rate of the patients while in the queuing system to evaluate their health-related risks. The findings of our study showed there is an association between patient waiting time, financial cost, and health-related risks. Also, the proposed queuing model showed that the system utilization, optimal expected total cost, health-related risks (risk of discomfort and illness/infections developed while in the queue), and waiting time are optimal at the hospital clinic with 5 servers (doctors). The major contribution of this study arose from the incorporation of financial costs and health-related risk variables into the proposed patient queuing model to minimize patient waiting time at the outpatient clinic. [ABSTRACT FROM AUTHOR]
- Published
- 2022
45. Laboratory Accuracy of Some Human Immunodeficiency Virus Screening Methods in a Nigerian Blood Bank: Is it time for Universal Adoption of Enzyme-linked Immuno-Sorbent Assay Methodologies as the Minimum Testing Paradigm?
- Author
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Gomerep Simji Samuel, Egesie Julie Ochaka, Orkuma Joseph Aondowase, Onoja Anthony Michael, Mbaave Tsavyange Peter, and Orkuma Jenifer Hembadoon
- Subjects
medicine.medical_specialty ,Human immunodeficiency virus screening ,business.industry ,Family medicine ,education ,parasitic diseases ,Medicine ,General Medicine ,business ,humanities ,Blood bank ,Biotechnology - Abstract
Department of Hematology, College of Health Sciences, Benue State University, Makurdi Benue State, Nigeria. 2 Department of Internal Medicine, Faculty of Medical Sciences, University of Jos, Plateau State, Nigeria. 3 Department of Hematology and Blood Transfusion, Faculty of Medical Sciences, University of Jos, Plateau State, Nigeria. Department of Laboratory, College Clinic, Federal School of Forestry, Jos-Plateau state, Nigeria. 5 Department of Internal Medicine, College of Health Sciences, Benue State University, Makurdi Benue State, Nigeria.
- Published
- 2015
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46. Assessment of Some Key Haematological Parameters on Cytomegalovirus Antibody Positive Pregnant Women in Makurdi Nigeria
- Author
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Onoja Theresa, Onoja Anthony Michael, Alao Olusayo, and S Nwadioha
- Subjects
0301 basic medicine ,business.industry ,Cytomegalovirus antibody ,030106 microbiology ,Cytomegalovirus ,General Medicine ,Virology ,03 medical and health sciences ,0302 clinical medicine ,Immunology ,Medicine ,030212 general & internal medicine ,business ,immunoglobulin ,pregnant women - Abstract
Background: There is high prevalence of Cytomegalovirus (CMV) in pregnancy worldwide, primary infection in particular has been associated with significant haematological changes and childhood neurodevelopmental disabilities. There is however, paucity of information on the effect of CMV seropositivity in pregnancy on the haematological parameters of pregnant women from our centre. Aim: This study was therefore designed to determine the effects of CMV sero-positivity among pregnant women, in Makurdi Nigeria, on some key haematological parameters. Methods: A cross sectional study of 211 pregnant women aged 15-50 years attending antenatal clinic at The Benue State University Teaching Hospital & Federal Medical Centre, Makurdi, Nigeria, from November 2016 to April 2017 was conducted. They were screened & grouped based on their CMV status into three groups: The overall CMV status (irrespective of antibody type), CMV IgG status and CMV IgM status. Their Mean White Blood Count (WBC), Platelet Count, Absolute Neutrophil Count (ANC), Absolute Lymphocyte Count (ALC) and Haemoglobin (Hb) levels were estimated & compared. Data obtained were coded, entered and analysed with SPSS version 20. Simple proportion was used to determine CMV positivity. The independent sample t-test and Pearson's chi-square were used for comparison of quantitative variables and chi-square test for qualitative variables. Relationships were determined, and a P< .05 was considered significant. Results: The younger pregnant women age 21-30 years constituted 75.4%, and represented the highest respondents. In those who were CMV IgG positive, WBC, platelets, ALC & haemoglobin all appeared lower & ANC appeared higher. In the CMV IgM positive, Haemoglobin & platelets appeared lower, while WBC, ANC & ALC all appeared higher. Overall, in those positive for CMV (irrespective of antibody type), WBC, platelet and haemoglobin appeared lower and ANC & ALC appearing higher. In all, these differences were not statistically significant, with P> .05 Conclusion: Cytomegalovirus seropositivity was found not to have any statistically significant effect on the haematological parameters of the pregnant women. We recommend further research in this area, education, and follow up on women with primary infection.
- Published
- 2017
47. Incentivizing e-Agriculture and Agribusiness Incubators for Youth Employment in Nigeria
- Author
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Ibisime Etela and Onoja, Anthony O.
- Subjects
Research and Development/Tech Change/Emerging Technologies ,Agribusiness incubator ,e-Agriculture ,Policy reform ,Agribusiness - Abstract
The paper explored how agriculture can be made more attractive for youth employment for attainment of economic diversification in an oil-based economy. It took a quick x-ray of the nation’s agricultural policies vis-à-vis youth employment in agriculture, identified some challenges militating against youth interestedness in agriculture and proffered workable solutions that could drive youth interest in agriculture. It is argued that, agriculture should be promoted as a sustainable livelihood source and as an initial entry point to propel Nigeria into a green economy where there is inclusivity and equity, resource use efficiency and minimal environmental risks in line with United Nations (UN) Post-2015 Sustainable Development Goals. In an era where the world economies are driven by knowledge, integration of information and communication technologies (ICTs) and agro-tourism into agricultural activities as obtainable in any truly business venture will make agriculture attractive to the youth. Positive changes in the way we consider the youth as mere beneficiaries of agricultural interventions to seeing them as co-actors/players in the agriculture space and along the e-agriculture value chain will lead to improved agricultural productivity. The use of ICT and promoting establishment of functional Agribusiness Incubators in strategically selected Nigerian universities is needed. Agricultural policy reforms that support training youth farmers and prospective ones as impact entrepreneurs will engender youth involvement in agriculture, give them a sense of ownership and protection from unfavourable policies including subsidies that, apparently, restrict or even hinder youth involvement.
- Published
- 2017
- Full Text
- View/download PDF
48. The nexus between insurgency, environment and agricultural livelihoods in Nigeria
- Author
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Mercy Ebere Ndubueze-Ogaraku and Onoja, Anthony Ojonimi
- Subjects
Herdsmen ,Risk and Uncertainty ,Conflicts ,Community/Rural/Urban Development ,Environment and ,Insurgency ,Livelihoods ,agriculture - Abstract
Against the backdrop of rising trend of insurgency, internally displaced persons, poverty and hunger in Nigeria in a receding economy, the study reviewed the linkages between insurgency, environment and agricultural livelihood activities in Nigeria. The specifically reviewed the theoretical linkages between environment, insecurity and agricultural livelihoods; (ii) x-rayed the trend and nature of insurgency in Nigeria lately; (iii) identified the empirical linkages between environment, insecurity and agricultural livelihoods in Nigeria. The study anchored on Homer-Dixon's theory of eco-violence. It was observed that there are new modes of insurgency in the country over time, spanning from the Niger Delta militancy started by Isaac Boro to Avengers era in the Niger Delta and the current Boko Haram menacing insurgencies in South-South and North-East Nigeria. Empirical and theoretical data affirmed the complexity and inter connectivity between the problems in focus. The interacting tripartite problems have led to poor yield of crops and livestock, unemployment, migration, flood, increased IDPs, food insecurity, loss of farm assets, human lives, pollution and rising poverty, most of which reinforced each other. The policy responses by the Nigerian government were articulated. It is therefore recommended that the recently signed Petroleum Industry Bill (PIB) by the present administration be fully implemented; constructive and diplomatic engagement between the government and leaders of insurgent groups needs to be consolidated; government should increase efforts in tackling the problems of desert encroachment and Lake Chad shrinking; the United Nations Environment Programme (UNEP) report on Ogoni land be fully implemented and applied in other areas of the Niger Delta region. Government and donor agencies should consider more realistic programmes that will support farmers and agribusinesses owners regarding supply of farm inputs and conducive environment for agribusinesses operation. Grazing lands should be established to settle the herdsmen.
- Published
- 2017
- Full Text
- View/download PDF
49. Economic Survey of Oil Palm Products’ Processing and Marketing in Kogi State, Nigeria
- Author
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Onoja, Anthony Ojonimi and Ogali, T. U.
- Subjects
Palm oil industry--Marketing ,Oil palm ,Commerce ,Oil palm--Economic aspects ,Agriculture ,Palm oil industry ,Palm oil industry--Finance - Abstract
This study was designed to ascertain the level of profitability and inherent problems derivable from oil palm products’ processing and marketing in Kogi State of Nigeria. Primary data used for the study was obtained through the use of structured questionnaire and oral interviews. From the six agricultural Zones in Kogi State a total sample size of 60 was finally drawn to form the sampling frame from 3 Agricultural Zones. Descriptive statistics were used to attain objectives 1 and 3; while objective 2 was attained by the use of gross margin analysis. Majority of the farmers obtained their Fresh Fruit Bunches for processing from the village or open market (50%); oil palm processing and marketing is profitable business in the area with a gross margin of ₦603,320.00K and gross margin ratio of 2.72 from an average enterprise; problems identified in the enterprises included fluctuating prices, lack of basic infrastructure and inputs such as capital and processing machines. The study recommended the need for government to hasten the supply of rural infrastructure, reduce taxes and let processors/marketers be encouraged to form cooperatives so as to access credit.
- Published
- 2014
- Full Text
- View/download PDF
50. Effects of Economic Growth, Trade Openness, Deforestation and Agricultural Trade on African Environmental Quality (1960-2008): A 2SLS Approach
- Author
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Onoja, Anthony O. and Achike, A.I.
- Subjects
Africa, Economic Growth, Environmental Kuznet Curve (EKC), Climate Change, Agricultural Commercialization, Deforestation, Trade Openness, Two Stage Least Squares (2SLS), Community/Rural/Urban Development, Environmental Economics and Policy, International Relations/Trade - Abstract
This study ascertained the effects of agricultural commercialization (agricultural net exports), deforestation as represented by exports of forestry products, economic growth and trade liberalization on the level of green house gas (CO2) emissions in Africa. It relied on World Bank data (economic development indicators) between 1960 and 2008. Two Stage Least Squares (2SLS) regression model (using logged variables) was applied in the study. Standard econometric diagnoses such as specification test, heteroscdasticity, autocorrelation and endogeneity tests were performed and their results validated the model’s use. All variables in the main equation were statistically significant and conformed to theoretical expectations. It was confirmed from our hypotheses tests that agricultural commercialization (p
- Published
- 2013
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