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1. Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta

Author

Oladimeji, Ganiyu

Subjects
Computer Science - Computers and Society
Abstract

This study examines the effectiveness of the Students Industrial Work Experience Scheme (SIWES) for Computer Science students at Moshood Abiola Polytechnic, Abeokuta. Through correlational analysis of various assessment components, including employer evaluations, student logbooks, and technical reports, the research aims to identify key factors contributing to student performance and skill development. The findings reveal strong correlations between employer evaluations, logbook quality, and overall performance, highlighting the importance of practical experience and documentation in the SIWES program. This research contributes to the ongoing discourse on the role of industrial training in higher education and provides recommendations for enhancing the SIWES experience for computer science students.

Published
2024

2. CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models

Author

Ghosh, Rikhiya, Farri, Oladimeji, von Stockhausen, Hans-Martin, Schmitt, Martin, and Vasile, George Marica

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security
Abstract

The healthcare industry is currently experiencing an unprecedented wave of cybersecurity attacks, impacting millions of individuals. With the discovery of thousands of vulnerabilities each month, there is a pressing need to drive the automation of vulnerability assessment processes for medical devices, facilitating rapid mitigation efforts. Generative AI systems have revolutionized various industries, offering unparalleled opportunities for automation and increased efficiency. This paper presents a solution leveraging Large Language Models (LLMs) to learn from historical evaluations of vulnerabilities for the automatic assessment of vulnerabilities in the medical devices industry. This approach is applied within the portfolio of a single manufacturer, taking into account device characteristics, including existing security posture and controls. The primary contributions of this paper are threefold. Firstly, it provides a detailed examination of the best practices for training a vulnerability Language Model (LM) in an industrial context. Secondly, it presents a comprehensive comparison and insightful analysis of the effectiveness of Language Models in vulnerability assessment. Finally, it proposes a new human-in-the-loop framework to expedite vulnerability evaluation processes.

Published
2024

3. 1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis

Author

Ogun, Sewade, Owodunni, Abraham T., Olatunji, Tobi, Alese, Eniola, Oladimeji, Babatunde, Afonja, Tejumade, Olaleye, Kayode, Etori, Naome A., and Adewumi, Tosin

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language
Abstract

Recent advances in speech synthesis have enabled many useful applications like audio directions in Google Maps, screen readers, and automated content generation on platforms like TikTok. However, these systems are mostly dominated by voices sourced from data-rich geographies with personas representative of their source data. Although 3000 of the world's languages are domiciled in Africa, African voices and personas are under-represented in these systems. As speech synthesis becomes increasingly democratized, it is desirable to increase the representation of African English accents. We present Afro-TTS, the first pan-African accented English speech synthesis system able to generate speech in 86 African accents, with 1000 personas representing the rich phonological diversity across the continent for downstream application in Education, Public Health, and Automated Content Creation. Speaker interpolation retains naturalness and accentedness, enabling the creation of new voices., Comment: Accepted at Interspeech 2024

Published
2024

4. Building Trust and Support for Partnership Agendas through the Requisites of Early Community Involvement

Author

Oladimeji Ashade and Sybert Mutereko

Subjects
Public-private partnership, collaborations, policy, community participation, sustainable development, Social Sciences
Abstract

One of the aims of the sustainable development goals (SDGs) is infrastructural development. In pursuance of this goal, partnerships and collaborations remain key responses. Thus, Goal 17, which is the climax of the SDGs, revolves around partnering with private investors to generate the required capital for the attainment of said developmental goals. Using some public-private partnership (PPP) projects as case study, this paper aims to analyse how early involvement or non-involvement influences the project communities to trust the project handlers and give support towards sustainable infrastructural development. The researcher applied qualitative method data gathering techniques and analysis. Findings show that communities that seemed to have been well engaged at the initial stages only experienced ‘therapeutic’ and ‘manipulative’ involvement because firstly there was a flagrant disregard for initial agreed-upon principles and tenets of inclusive governance and secondly the promoters of the collaborations did not do enough to have an all-inclusive advocacy with community groups. The study recommends that the law governing the implementation of PPP in Lagos State be modified to allow community representatives feature prominently on the committee for infrastructural projects right from the initial stage through the entire process.

Published
2021
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5. Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering

Author

Ha, Cuong Nhat, Asaadi, Shima, Karn, Sanjeev Kumar, Farri, Oladimeji, Heimann, Tobias, and Runkler, Thomas

Subjects
Computer Science - Computation and Language, Computer Science - Computer Vision and Pattern Recognition
Abstract

Vision-language models, while effective in general domains and showing strong performance in diverse multi-modal applications like visual question-answering (VQA), struggle to maintain the same level of effectiveness in more specialized domains, e.g., medical. We propose a medical vision-language model that integrates large vision and language models adapted for the medical domain. This model goes through three stages of parameter-efficient training using three separate biomedical and radiology multi-modal visual and text datasets. The proposed model achieves state-of-the-art performance on the SLAKE 1.0 medical VQA (MedVQA) dataset with an overall accuracy of 87.5% and demonstrates strong performance on another MedVQA dataset, VQA-RAD, achieving an overall accuracy of 73.2%., Comment: Clinical NLP @ NAACL 2024

Published
2024

6. The Flipside of New Public Management: An Inquiry into the Challenges Facing Outsourced Workers in South Africa

Author

Zamazulu Mthembu, Oladimeji Ashade, and Sybert Mutereko

Subjects
NPM, outsourced workers, outsourced companies, public department, wages, Social Sciences
Abstract

Inspired by the new public management (NPM) philosophy, public sector institutions have engaged private companies by outsourcing non-core services for improved service delivery, lowering government expenditure, and creating opportunities for employment. There is evidence suggesting that the public sector has witnessed industrial conflicts occasioned by labour unrest among outsourced workers. This paper explores how the employees of contract companies perceive outsourcing and how outsourcing has affected them. Using a non-probabilistic sampling technique, the study mixes both qualitative and quantitative techniques to show that the outsourced workers do not see outsourcing in good light. The viewpoint of participants revealed that the outsourced workers were not pleased with the condition of work under different management. These findings have significant implications for broadening the understanding of the plight of the outsourced workers in the public sector. This study has raised important questions about the nature of outsourcing in the public sector and aroused the consciousness that the challenge facing outsourced workforce persists despite the premium placed on NPM in literature. The study, therefore, recommends that the condition of service of outsourced workers in South Africa’s public departments be given due attention to forestall undesirable outcomes.

Published
2021
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9. The Place of Design Education in Achieving 4IR Sustainability through the 4Cs Skill-sets

Author

Peter Oluwagbenga Odewole, Tolulope Oladimeji Sobowale, and Festus Osarumwense Uzzi

Abstract

The Fourth Industrial Revolution (4IR) merges the physical, digital, and biological spheres, reshaping societies and individuals worldwide in unprecedented ways. With the fast-moving globalization and rapid rate of technological development of the 4IR, the world is also facing unprecedented social, economic, and environmental challenges. As the 4IR continues to reshape industries across the globe, there is an increasing need for educational systems to adapt and equip students with the necessary skills to thrive in this rapidly evolving landscape. With its diverse socio-economic context and pressing environmental concerns, a specific emphasis on design education is required to develop a skilled workforce capable of driving sustainability in the 4IR. Given the needs of the 4IR, students need to possess a set of skills that are highly sought after. These skills, commonly known as the "4Cs," encompass communication, creativity, critical thinking, and collaboration. Design education plays a substantial role in preparing students for the demands of the 4IR, as it cultivates a holistic and interdisciplinary approach to problem solving, innovation, and sustainable development. This paper explores the place of design education in nurturing the 4Cs skill sets for achieving 4IR sustainability, focusing on how design education can address the unique challenges and opportunities faced in the 4IR era.

Published
2023

17. General-Purpose vs. Domain-Adapted Large Language Models for Extraction of Structured Data from Chest Radiology Reports

Author

Dhanaliwala, Ali H., Ghosh, Rikhiya, Karn, Sanjeev Kumar, Ullaskrishnan, Poikavila, Farri, Oladimeji, Comaniciu, Dorin, and Kahn, Charles E.

Subjects
Computer Science - Computation and Language, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Radiologists produce unstructured data that can be valuable for clinical care when consumed by information systems. However, variability in style limits usage. Study compares system using domain-adapted language model (RadLing) and general-purpose LLM (GPT-4) in extracting relevant features from chest radiology reports and standardizing them to common data elements (CDEs). Three radiologists annotated a retrospective dataset of 1399 chest XR reports (900 training, 499 test) and mapped to 44 pre-selected relevant CDEs. GPT-4 system was prompted with report, feature set, value set, and dynamic few-shots to extract values and map to CDEs. Output key:value pairs were compared to reference standard at both stages and an identical match was considered TP. F1 score for extraction was 97% for RadLing-based system and 78% for GPT-4 system. F1 score for mapping was 98% for RadLing and 94% for GPT-4; difference was statistically significant (P<.001). RadLing's domain-adapted embeddings were better in feature extraction and its light-weight mapper had better f1 score in CDE assignment. RadLing system also demonstrated higher capabilities in differentiating between absent (99% vs 64%) and unspecified (99% vs 89%). RadLing system's domain-adapted embeddings helped improve performance of GPT-4 system to 92% by giving more relevant few-shot prompts. RadLing system offers operational advantages including local deployment and reduced runtime costs.

Published
2023

19. Impact of Organisational Innovation on Sustainable Competitive Advantage of Manufacturing Firms in Lagos State, Nigeria

Author

Abdul-Hameed Adeola SULAIMON, Chinenye Anthonia ONYEMAOBI, Christopher Idemudia EBEGBETALE, Taofeek Olalekan GBADAMOSI, and Oladimeji Charles FAJIMOLU

Subjects
administrative innovation, organisational innovation, product innovation, sustainable competitive advantage, Business, HF5001-6182
Abstract

The increased level of competition in the current business climate required the implementation of processes and systems to guarantee a sustainable organisational competitive advantage for the benefit of stakeholders. This research evaluates the association between product innovation and manufacturing firms’ sustainable competitive advantage, determine the effect of process innovation on manufacturing firms’ sustainable competitive advantage, examine the influence of administrative innovation on manufacturing firms’ sustainable competitive advantage and ascertain the joint relationship between product, process, and administrative innovation on manufacturing firms’ sustainable competitive advantage. Descriptive research design was adopted and a sample size of 131 manufacturing firms was used for the analysis. Data were collected using a questionnaire and analysed using regression analysis with the aid of SPSS Version 25. The findings showed that product innovation (β = .524, p < .005) process innovation (β = .417, p < .005) and administrative innovation (β = .488, p < .005) significantly influenced firm sustainable competitive advantage, individually and jointly. The research concludes that manufacturing organisations should prioritise innovation in their strategic plans. This study suggests ongoing product improvement through process and administrative adjustments and a culture of innovation and experimentation to find new sources of competitive advantage and create sustainable value.

Published
2024
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20. Assessment of climatic and environmental parameters on fish abundance of an afro-tropical reservoir

Author

Oluwadamilare Emmanuel Obayemi, Olaniyi Olusola Komolafe, Oluwafisayo Azeez Ayodeji, Olayemi Ajayi, Patricia Oluwatobi Adewumi, Isaac Idowu Adeniran, Kehinde Omobolanle Olalekan, and Titilayo Kirmadei Oladimeji

Subjects
Abundance, Fish fauna, Coptodon Zillii, Esa-Odo, Marcusenius senegalensis, Medicine, Science
Abstract

Abstract This study assessed the impacts of climatic parameters (rainfall and temperature) and environmental variables (transparency, depth, chloride, TS, TSS, TOC) on the abundance of commercially important fish species in Esa-Odo. The research question was to find out if climatic and environmental factors influence the abundance of fish species in an afro-tropical reservoir. Fish species were collected on a monthly basis for two annual cycles covering both dry and rainy seasons. GIS-based climatic data was used to determine the relationship between climatic conditions and fish species abundance. Results showed that the highest abundance of fish was recorded during the rainy season, with Oreochromis niloticus being the most dominant species throughout the sampling period. Trend analysis revealed that variations in climate and environmental parameters influenced the abundance of different fish species in the reservoir. Mann-Kendal analysis indicated that an increase in rainfall led to an increase in reservoir depth, a decrease in transparency levels, and a reduction in temperature, with a Sen’s slope value of -38. Additionally, CCA and correlation matrix results demonstrated that climate and environmental parameters significantly influenced fish species abundance. The study emphasized the importance of climatic and environmental factors in the abundance of fish species in the reservoir, providing valuable information for future research on fishery resources. Governments and stakeholders were urged to prioritize the conservation and management of the reservoir’s fish population to prevent declines.

Published
2024
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21. Impacts of fish pond effluent on the water quality of an afrotropical stream: a comprehensive evaluation using the water quality index

Author

Saanu Emmanuel Kosemani, Oluwadamilare Emmanuel Obayemi, Oluwafisayo Ayodeji, Emmanuel Abiodun Adewumi, Victor Folorunso Olaleye, and Titilayo Kirmadei Oladimeji

Subjects
Physicochemical, Parameters, Water quality, Effluent discharge, Fishpond, Water supply for domestic and industrial purposes, TD201-500, Environmental sciences, GE1-350
Abstract

Abstract This study highlights the importance of managing fishpond effluent to minimize its impact on aquatic environments. Fish effluents are a major concern worldwide in aquatic environments. It also provides information on the impacts of effluents on the water quality index of streams when released into aquatic environments. Streams and fishponds were sampled bimonthly for two annual cycles, covering different sampling stations both upstream and downstream of the fishpond effluents at 50-m intervals. Water quality parameters associated with in situ conditions were determined in the field. In the laboratory, other physicochemical parameters were determined via proper standard protocols. The results of the study revealed that water quality parameters such as turbidity, total suspended solids, total solids, conductivity, total dissolved solids, dissolved oxygen, biological oxygen demand and organic matter recorded in water samples collected from 50 m upstream at the point of effluent discharge were significantly (p

Published
2024
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22. Classification models for likelihood prediction of diabetes at early stage using feature selection

Author

Oladosu Oyebisi Oladimeji, Abimbola Oladimeji, and Olayanju Oladimeji

Subjects
Diabetes, Machine learning, Feature selection, Data mining, Classification algorithms, Information technology, T58.5-58.64
Abstract

Purpose – Diabetes is one of the life-threatening chronic diseases, which is already affecting 422m people globally based on (World Health Organization) WHO report as at 2018. This costs individuals, government and groups a whole lot; right from its diagnosis stage to the treatment stage. The reason for this cost, among others, is that it is a long-term treatment disease. This disease is likely to continue to affect more people because of its long asymptotic phase, which makes its early detection not feasible. Design/methodology/approach – In this study, the authors have presented machine learning models with feature selection, which can detect diabetes disease at its early stage. Also, the models presented are not costly and available to everyone, including those in the remote areas. Findings – The study result shows that feature selection helps in getting better model, as it prevents overfitting and removes redundant data. Hence, the study result when compared with previous research shows the better result has been achieved, after it was evaluated based on metrics such as F-measure, Precision-Recall curve and Receiver Operating Characteristic Area Under Curve. This discovery has the potential to impact on clinical practice, when health workers aim at diagnosing diabetes disease at its early stage. Originality/value – This study has not been published anywhere else.

Published
2024
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24. Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge

Author

Danu, Manuela Daniela, Marica, George, Karn, Sanjeev Kumar, Georgescu, Bogdan, Mansoor, Awais, Ghesu, Florin, Itu, Lucian Mihai, Suciu, Constantin, Grbic, Sasa, Farri, Oladimeji, and Comaniciu, Dorin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computation and Language
Abstract

Among all the sub-sections in a typical radiology report, the Clinical Indications, Findings, and Impression often reflect important details about the health status of a patient. The information included in Impression is also often covered in Findings. While Findings and Impression can be deduced by inspecting the image, Clinical Indications often require additional context. The cognitive task of interpreting medical images remains the most critical and often time-consuming step in the radiology workflow. Instead of generating an end-to-end radiology report, in this paper, we focus on generating the Findings from automated interpretation of medical images, specifically chest X-rays (CXRs). Thus, this work focuses on reducing the workload of radiologists who spend most of their time either writing or narrating the Findings. Unlike past research, which addresses radiology report generation as a single-step image captioning task, we have further taken into consideration the complexity of interpreting CXR images and propose a two-step approach: (a) detecting the regions with abnormalities in the image, and (b) generating relevant text for regions with abnormalities by employing a generative large language model (LLM). This two-step approach introduces a layer of interpretability and aligns the framework with the systematic reasoning that radiologists use when reviewing a CXR., Comment: Information Technology and Quantitative Management (ITQM 2023)

Published
2023

25. shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation

Author

Karn, Sanjeev Kumar, Ghosh, Rikhiya, P, Kusuma, and Farri, Oladimeji

Subjects
Computer Science - Computation and Language
Abstract

Instruction-tuned generative Large language models (LLMs) like ChatGPT and Bloomz possess excellent generalization abilities, but they face limitations in understanding radiology reports, particularly in the task of generating the IMPRESSIONS section from the FINDINGS section. They tend to generate either verbose or incomplete IMPRESSIONS, mainly due to insufficient exposure to medical text data during training. We present a system which leverages large-scale medical text data for domain-adaptive pre-training of instruction-tuned LLMs to enhance its medical knowledge and performance on specific medical tasks. We show that this system performs better in a zero-shot setting than a number of pretrain-and-finetune adaptation methods on the IMPRESSIONS generation task, and ranks 1st among participating systems in Task 1B: Radiology Report Summarization at the BioNLP 2023 workshop., Comment: 1st Place in Task 1B: Radiology Report Summarization at BioNLP 2023

Published
2023

26. RadLing: Towards Efficient Radiology Report Understanding

Author

Ghosh, Rikhiya, Karn, Sanjeev Kumar, Danu, Manuela Daniela, Micu, Larisa, Vunikili, Ramya, and Farri, Oladimeji

Subjects
Computer Science - Computation and Language
Abstract

Most natural language tasks in the radiology domain use language models pre-trained on biomedical corpus. There are few pretrained language models trained specifically for radiology, and fewer still that have been trained in a low data setting and gone on to produce comparable results in fine-tuning tasks. We present RadLing, a continuously pretrained language model using Electra-small (Clark et al., 2020) architecture, trained using over 500K radiology reports, that can compete with state-of-the-art results for fine tuning tasks in radiology domain. Our main contribution in this paper is knowledge-aware masking which is a taxonomic knowledge-assisted pretraining task that dynamically masks tokens to inject knowledge during pretraining. In addition, we also introduce an knowledge base-aided vocabulary extension to adapt the general tokenization vocabulary to radiology domain., Comment: Association for Computational Linguistics (ACL), 2023

Published
2023

27. Effects of Hands-On Instructional Strategy on Senior School Students' Performance in Waves

Author

Akanbi, Abdulrasaq Oladimeji, Mohammed, Ridwan Enuwa, Yusuf, Aishat Abdulqadir, and Olayinka, Yahaya Wasiu

Abstract

The research examined the effects of hands-on teaching strategy on senior school learners' performance waves in Ilorin, Nigeria. Senior secondary school (SSS2) science students were sampled at intact classes using a purposive sampling technique. Researcher-designed instructional packages on waves and Physics achievement test on waves (PATW) were the instruments employed. The gathered data were analysed with the use of descriptive and inferential statistics. Percentage, mean and standard deviation were employed in answering the research question. Meanwhile, Analysis of Variance (ANOVA) was utilised in testing the hypotheses formulated at a 0.05 alpha level. The study showed that students' performance exposed to hands-on instructional strategy was very impressive, while students' performance exposed to traditional strategy was low, there was a significant effect of hands-on instructional technique on the performance of students in waves and no statistically significant collaborative effect of hands-on instructional technique and students' gender on performance in waves. It was suggested that hands-on instructional strategies should be integrated and used to make teaching and learning more concrete and active based for both teachers and students.

Published
2022

28. Structures, processes and outcomes between first referral and referral hospitals in low-income and middle-income countries: a secondary preplanned analysis of the FALCON and ChEETAh randomised trials

Author

Rajeev Sharma, Neha Mishra, Simon Cousens, Sanjay Gupta, Thomas Pinkney, Neil Smart, Jonathan Cook, David Jayne, Hemanth Kumar, Peter Brocklehurst, Mohammed Bashir, Dmitri Nepogodiev, Adesoji O Ademuyiwa, Philip Alexander, Laura Magill, Mark Monahan, Rachel Moore, Stephen Tabiri, Joseph Yorke, Dion Morton, Aneel Bhangu, Bryar Kadir, Naveen Sharma, Punam Mistry, Joshua Arthur, Muneer A Malik, Tracy Roberts, Elisee Rwagahirima, Christian Urimubabo, Ewen Harrison, Vijay Kumar, Julia Brown, Pollyanna Hardy, Amit Mahajan, Pratik Solanki, James Glasbey, Himani Gupta, Omar Omar, Joana Simoes, Sivesh K Kamarajah, Adesoji Ademuyiwa, Felix Alakaloko, Olumide Elebute, Omolara Faboya, Justina Seyi-Olajide, Anita Thomas, David Lissauer, Zainab Imam, George Ihediwa, Zainab O Imam, Felix M Alakaloko, Pradeep Zechariah, Suraj Surendran, Olatunji O Lawal, Mohammed Adnan, Savleen Kaur, Faustin Ntirenganya, JC Allen Ingabire, Lawani Ismaïl, Emmy Runigamugabo, Djifid Morel Seto, Paul Wondoh, Charles Dally, Kwabena Agbedinu, Florence Dedey, Enoch Tackie, Frank Enoch Gyamfi, Anthony Davor, Akinlabi Ajao, Omobolaji Ayandipo, Olalekan Ajai, Mobolaji Oludara, Muhammad Daniyan, Danjuma Sale, Lawal Abdullahi, Olabisi Osagie, Adedeji Fatuga, Muzzammil Abdullahi, Manish Pathak, Prashant Singh, Rita Jain, Kwaku Boakye-Yiadom, Kazeem Atobatele, Ayokunle Ogunyemi, Olabode Oshodi, Christopher Bode, Omobolaji O Ayandipo, Akinlabi E Ajao, Godwin Akaba, Gabriella Hyman, Deepak Singh, Olukemi Akande, Sivesh Kathir Kamarajah, Naseem Akhtar, José A Flores, Donna Smith, Olatunji Lawal, Hadijat Olaide Raji, Zafar Khan, Matthew Francis, Emmanuel Williams, Pardeep Kumar, Oliver Samuel, María Paz Muñoz, Arun Chaturvedi, Sameer Gupta, Puneet Prakash, John Raphael, Funmilola Wuraola, Olalekan Olasehinde, Murlidhar V Pai, Deepak Jain, Anwar Sadat Seidu, Victor Ifeanyichukwu Modekwe, Jideofor Okechukwu Ugwu, Lukmon Amosu, Akan Inyang, Michael Amoah, Boateng Nimako, Dhruva Ghosh, Neil Winkles, Olabisi O Osagie, Karolin Kroese, Olubunmi Ogein, Mustapha Yakubu, Vasanth Mark Samuel, Cecil Thomas, Enono Yhoshu, Vishal Michael, William Bhatti, Swati Daniel, Jyoti Dhiman, Atul Suroy, Christopher O Bode, George C Ihediwa, Adaiah Soibi-Harry, Benedetto Osunwusi, Elizabeth Li, Sonia Mathai, Deepak Singla, Farhanul Huda, Aisha Mustapha, Anisah Yahya, Samuel Mensah, Puneet Pareek, Bernard Ofori, Souliath Lawani, Oluwafunmilayo Adeniyi, Opeyemi Rebecca Akinajo, Richard Ofosu-Akromah, Olumide Adeniyi, Adewale O. Adisa, Natacha Boumas, Fareeda Galley, Frank Enoch Gyamfi Parvez D Haque, Antonio Ramos de la Medina, Chukwuma Okereke, Ronald Tubasime, Felicity Brant, Sohini Chakrabortee, Parvez D Haque, Emily Heritage, Carmela Lapitan, Rachel Lillywhite, Pierre Sodonougbo, Pamphile Assouto, Michel Fiogbe, Houenoukpo Koco, Serge Metchinhoungbe, Hodonou Sogbo, Hulrich Behanzin, Yannick Tandje, Sosthène Kangni, Cyrile Kpangon, Marcelin Akpla, Hugues Herve Chobli, Blaise Kovohouande, Gérard Agboton, Rene Ahossi, Raoul Baderha Ngabo, Nathan Bisimwa, Covalic Melic Bokossa Kandokponou, Mireille Dokponou, Francis Moïse Dossou, Corinne Dzemta, Antoine Gaou, Roland Goudou, Emmanuel Hedefoun, Sunday Houtoukpe, Felix Kamga, Eric Kiki- Migan, Ismaïl Lawani, René Loko, Afissatou Moutaïrou, Pencome Ogouyemi, Fouad Soumanou, Pia Tamadaho, Mack-Arthur Zounon, Luke Aniakwo Adagrah, Bin Baaba Alhaji Alhassan, Mabel Pokuah Amoako-Boateng, Anthony Baffour Appiah, Alvin Asante-Asamani, Benedict Boakye, Samuel A Debrah, Donald Enti, Rahman Adebisi Ganiyu, Patience Koggoh, Richard Kpankpari, Isabella Naa M. Opandoh, Meshach Agyemang Manu, Maison Patrick Opoku Manu, Martin Tangnaa Morna, John Nkrumah, Michael Nortey, Emmanuel Owusu Ofori, Elizaberth Mercy Quartson, Esther Adjei-Acquah, Eric Agyemang Vera Agyekum, Rebecca Adjeibah Akesseh, Forster Amponsah-Manu, Ato Oppong Acquah, Leslie Issa Adam-Zakariah, Esther Asabre, Ruby Acheampong Boateng, Barbara Koomson, Ataa Kusiwaa, Emmanuel Yaw Twerefour, James Ankomah, Frank Assah-Adjei, Anthony Appiah Boakye, Godfred Fosu, Godwin Serbeh, Kofi Yeboah Gyan, Isaac Omane Nyarko, Zelda Robertson, Ralph Armah, Christopher Asare, Delali Akosua Gakpetor, Victoria Sena Gawu, Ambe Obbeng, Doris Ofosuhene, Dorcas Osei-Poku, Diana Puozaa, Arkorful Ebenezer Temitope, Regina Acquah, James Amoako, Akosua Dwamena Appiah, Mark Aseti, Charles Banka, Samuel Dadzie, Derick Essien, Romeo Hussey, Jemima Kwarteng, Naa Anyekaa Sowah, Grace Yeboah, Cynthia Yeboah, Kwame Gyambibi Addo, Enoch Appiah Akosa, Percy Boakye, Christian Larbi Coompson, Brian Gyamfi, Bismark Effah Kontor, Christian Kyeremeh, Ruth Manu, Elijah Mensah, Friko Ibrahim Solae, Gideon Kwasi Toffah, Dorcas Otuo Acheampong, Jane Acquaye, Michael Adinku, Anita Eseenam Agbeko, Emmanuel Gyimah Amankwa, George Amoah, Juliana Appiah, Alex Ayim, Emmanuel Kafui Ayodeji, Jonathan Boakye-Yiadom, Edward Amoah Boateng, Christian Kofi Gyasi-Sarpong, Naabo Nuhu Noel Hamidu, Iddrisu Haruna, Naa Kwarley, Agbenya Kobla Lovi, Bertina Beauty Nyadu, Dominic Opoku, Anita Osabutey, Robert Sagoe, Samuel Tuffour, Yaa Tufour, Francis Akwaw Yamoah, Abiboye Cheduko Yefieye, Nii Armah Adu-Aryee, Faisal Adjei, Erica Akoto, Elikem Ametefe, Joachim Kwaku Amoako, Godsway Solomon Attepor, George Darko Brown, Benjamin Fenu, Philemon Kwame Kumassah, David Olatayo Olayiwola, Theodore Wordui, Nelson Agboadoh, Fatao Abubakari, Cletus Ballu, Charles Gyamfi Barimah, Guy Casskey Boateng, Prosper Tonwisi Luri, Abraham Titigah, Frank Owusu, Raphael Adu-Brobbey, Abdul-Hamid Labaran, Junior Atta Owusu, Vivian Adobea, Amos Bennin, Fred Dankwah, Stanley Doe, Ruth Sarfo Kantanka, Ephraim Kobby, Kennedy Kofi Korankye Hanson Larnyor, Edwin Osei, Prince Yeboah Owusu, Clement Ayum Sie-Broni, Marshall Zume, Francis Atindaana Abantanga, Darling Ramatu Abdulai, Daniel Kwesi Acquah, Emmanuel Ayingayure, Imoro Osman, Sheba Kunfah, Gbana Limann, Shamudeen Alhassan Mohammed, Sheriff Mohammed, Yakubu Musah, Emmanuel Abem Owusu, Abdul-Hafiz Saba, Edwin Mwintiereh Ta-ang Yenli, Arun Gautham, Alice Hepzibah, Grace Mary, Dimple Bhatti, Karan Bir, Tapasya Dhar, Sunita Goyal, Goyal Ankush, Monika Hans, Parvez Haque, Samuel Konda, Anil Luther, Shalini Makkar, Kavita Mandrelle, Partho Mukherjee, Reuben Rajappa, Ravinder Thind, Alen Thomas, Arti Tuli, Sreejith Veetil, Esther Daniel Mark Jesudason, K Priyadarshini, Latha Madankumar, Rohin Mittal, Ida Nagomy, Rajesh Selvakumar, Bharat Shankar, Moonish Sivakumar, Rajeevan Sridhar, Devabalan Titus, Manisha Aggarwal, Parth Dhamija, Vinoth Kanna, Ashwani Kumar, Gurtaj Singh, Josy Thomas, Amos Dasari, Priya Jacob, Elizabeth Kurien, Arpit Mathew, Danita Prakash, Anju Susan, Rose Varghese, Rahul Alpheus, Ashish Choudhrie, Nitin Peters, Subrat Raul, Rakesh Vakil, Wenceslao Ángeles Bueno, Francisco Barbosa Camacho, Aldo Bernal Hernández, Ana Bogurin Arellano, Edgar Cortes Torres, Clotilde Fuentes Orozco, Erick González García de Rojas, Alejandro González Ojeda, Bertha Guzmán Ramírez, Michel Hernández Valadez, Diego Luna Acevedo, Rubén Morán Galaviz, Oscar Olvera Flores, José Pérez Navarro, Kevin Pintor Belmontes, Fernando Ramirez Marbello, Luis Ramírez-González, Laura Reyes Aguirre, Ramona Rojas García, Eduardo Valtierra Robles, Reyes Cervantes Ortiz, Gonzalo Hernandez Gonzalez, Rosa Hernandez Krauss, Luis Hernández Miguelena, Marco Hurtado Romero, Isaac Baltazar Gomez, Celina Cuellar Aguirre, Alejandro Cuevas Avendaño, Luis Dominguez Sansores, Hector Ortiz Mejia, Laura Urdapilleta Gomez del Campo, Claudia Caballero Cerdan, David Dominguez Solano, Rafael Toriz Garcia, Mariana Barreto Gallo, Ana Cortes Flores, Alejandro Gonzalez Ojeda, Monica Jimenez Velasco, Rozana Reyes Gamez, Roque Lincona Menindez, Alberto Navarrete Peón, Irani Durán Sánchez, Diana Gonzalez Vazquez, Maria Martínez Lara, Laura Martinez Perez Maldonado, Alejandra Nayen Sainz de la Fuente, Antonio Ramos De la Medina, Khadija Ado, Mohammed Aliyu, Lofty-John Anyanwu, Mahmoud Magashi, Abubakar Muhammad, Saminu Muhammad, Bello Muideen, Idris Takai, Onyekachi Ukata, Opeoluwa Adesanya, David Awonuga, Olushola Fasiku, Chidiebere Ogo, Moruf Abdulsalam, Abimbola Adeniran, Grace Eke, Esther Momson, Francisca Nwaenyi, Olufunmilade Omisanjo, Yusuf Oshodi, Yemisi Oyewole, Omotade Salami, Omolara Williams, Victoria Adeleye, Opeyemi Akinajo, David Akinboyewa, Iyabo Alasi, Oluwole Atoyebi, Olanrewaju Balogun, Orimisan Belie, Andrew Ekwesianya, Francis Ezenwankwo, Adesola Jimoh, Jubril Kuku, Oluwaseun Ladipo- Ajayi, Ayomide Makanjuola, Olayanju Mokwenyei, Samuel Nwokocha, Rufus Ojewola, Abraham Oladimeji, Thomas Olajide, Oluwaseun Oluseye, Aloy Ugwu, Ochomma Egwuonwu, Okechukwu Ekwunife, Victor Modekwe, Chukwuemeka Okoro, Chisom Uche, Kenneth Ugwuanyi, Chuka Ugwunne, Akeem Adeleke, Wilson Adenikinju, Akinfolarin Adepiti, Adewale Aderounmu, Abdulhafiz Adesunkanmi, Adewale Adisa, Samuel Ajekwu, Olusegun Ajenjfuja, Jerrie Akindojutimi, Akinbolaji Akinkuolie, Olusegun Alatise, Olubukola Allen, Micheal Archibong, Olukayode Arowolo, Deborah Ayantona, Ademola Ayinde, Olusegun Badejoko, Tajudeen Badmus, Amarachukwu Etonyeaku, Emeka Igbodike, Omotade Ijarotimi, Adedayo Lawal, Fayowole Nana, Tunde Oduanafolabi, Olaniyi Olayemi, Stephen Omitinde, Owolabi Oni, Chigozie Onyeze, Ernest Orji, Adewale Rotimi, Abdulkadir Salako, Olufemi Solaja, Oluwaseun Sowemimo, Ademola Talabi, Mohammed Tajudeen, Francis Adebayo, Oseremen Aisuodionoe- Shadrach, Lazarus Ameh, Ndubuisi Mbajiekwe, Felix Ogbo, Samson Olori, Samuel Sani Abu Sadiq, Nancy Tabuanu, Martins Uanikhoba, Godwin Chiejina, Ekpo Edet, Mary Isa, Faith Iseh, Adams Marwa, Sunday Ogbeche, Edima Olory, Gabriel Udie, Joseph Udosen, Usang Usang, Olukayode Abayomi, Rukiyat Abdus-Salam, Sikiru Adebayo, Olanrewaju Amusat, Kelvin Egbuchulem, Hyginus Ekwuazi, Peter Elemile, Taiwo Lawal, Solomon Olagunju, Peter Osuala, Bamidele Suleman, Augustine Takure, Lukman Abdur-Rahman, Nurudeen Adeleke, Muideen Adesola, Rafiat Afolabi, Sulaiman Agodirin, Isiaka Aremu, Jibril Bello, Saheed Lawal, Abdulwahab Lawal, Hadijat Raji, Olayinka Sayomi, Asimiyu Shittu, Jude Ede, Sebastian Ekenze, Vincent Enemuo, Matthew Eze, Uchechukwu Ezomike, Emmanuel Izuka, Okezie Mbadiwe, Ngozi Mbah, Uba Ezinne, Iweha Ikechukwu, Okoi Nnyonno, Philemon Okoro, Igwe Patrick, Oriji Vaduneme, Abhulimen Victor, Salathiel Kanyarukiko, Francine Mukaneza, Deborah Mukantibaziyaremye, Aphrodis Munyaneza, Gibert Ndegamiye, Ronald Tubasiime, Moses Dusabe, Emelyne Izabiriza, Hope Lydia Maniraguha, Christophe Mpirimbanyi, Josiane Mutuyimana, Olivier Mwenedata, Francine Uwizeyimana, Job Zirikana, Aime Dieudonne Hirwa, Elysee Kabanda, Salomee Mbonimpaye, Christine Mukakomite, Piolette Muroruhirwe, Georges Bucyibaruta, Gisele Juru Bunogerane, Sosthene Habumuremyi, Jean de Dieu Haragirimana, Alphonsine Imanishimwe, Violette Mukanyange, Emmanuel Munyaneza, Emmanuel Mutabazi, Isaie Ncogoza, Jeannette Nyirahabimana, Mary Augusta Adams, Richard Crawford, Chikwendu Jeffrey Ede, Maria Fourtounas, Morapedi Kwati, Mpho Nosipho Mathe, Ncamsile Anthea Nhlabathi, Hlengiwe Samkelisiwe Nxumalo, Paddy Pattinson, Nnosa Sentholang, Mmule Evelyn Sethoana, Maria Elizabeth Stassen, Laura Thornley, Cheryl Birtles, Mathete Ivy, Cynthia Mbavhalelo, Zain Ally, Abdus-sami Adewunmi, Maria Picciochi, Michael Bahrami-Hessari, Didier Ahogni Benin, Aristide Ahounou, K. Alassan Boukari, Oswald Gbehade, Thierry K Hessou, Sinama Nindopa, M.J. Bienvenue Nontonwanou, Nafissatou Orou Guessou, Arouna Sambo, Sorekou Victoire Tchati, Affisatou Tchogo, Semevo Romaric Tobome, Parfait Yanto, Isidore Gandaho, Armel Hadonou, Simplice Hinvo, Montcho Adrien Hodonou, Sambo Bio Tamou, Marie-Claire Kouroumta, Enrif Malade, Anne stredy Mkoh Dikao, Joel Nzuwa Nsilu, Nathan Bisimwa Mitima, Cyrille Kpangon, Stephane Laurent Loupeda, Mamonde Victorin Agbangla, Sena Emmanuel Hedefoun, Thierry Mavoha, Juvenal Ngaguene, Janvier Rugendabanga, Rish Romaric Soton, Martin Totin, Mouhamed Agbadebo, Irene Akpo, Hubert Dewamon, Martin Djeto, Aissatou Hada, Monsede Hollo, Albert Houndji, Anasthasie Houndote, Sylvestre Hounsa, Expedit Kpatchassou, Hugues Yome, Mohamed Moussa Alidou, Bonheur Dossou Yovo, Robert Guinnou, Souleymane Hamadou, Nabil Moussa, Boniface Cakpo, Lolyta Etchisse, Emery Hatangimana, Moise Muhindo, Katia Sanni, Agossou Barthelemy Yevide, Hermann Agossou, Fiston Basirwa Musengo, Bill Armstrong Alia, Arnaud Alitonou, Lucien Agbanda, Julien Attinon, Marcel Gbassi, Nounagnon Rene Hounsou, Derick Esssien, Yakubu Mustapha, Kojo Nunoo-Ghartey, Luke A Aniakwo, Margarey N M Adjei, Yvonne Adofo-Asamoah, Meshach M Agyapong, Thomas Agyen, Baba A B Alhassan, Mabel P Amoako-Boateng, Josephine Ashong, Joseph K Awindaogo, Benjamin B Brimpong, Makafui S C J K Dayie, Wendy W Ghansah, Jude E Gyamfi, Vincent Kudoh, Philip Mensah, Isabella N Morkor Opandoh, Martin T Morna, Emelia Odame, Emmanuel O Ofori, Sandra Quaicoo, Elizabert M Quartson, Cynthia Teye-Topey, Makafui Yigah, Safia Yussif, Vera O Agyekum-Gyimah, Eric Agyemang, Arko Akoto- Ampaw, Temitope E Arkorful, Moses A Dokurugu, Nanabanyin Essel, Aja Ijeoma, Emmanuel L Obiri, Karen N D Quarchey, Leslie Adam-Zakariah, Aaron B Andoh, Ruby A Boateng, Atta Kusiwaa, Adeline Naah, Ato Oppon-Acquah, Benjamin A Oppong, Emma A Agbowada, Ameley Akosua, O Lawrence Dorcas Acheampong, Frank E Gyamfi, Bertina B Nyadu, Samira Abdulai, Nii A Adu-Aryee, Joachim K Amoako, Nicholas T Aperkor, 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Aderounmu, Abdulhafiz O Adesunkanmi, Adewale O Adisa, Samuel C Ajekwu, Olusegun K Ajenifuja, Olusegun I Alatise, Tajudeen A Badmus, Tajudeen O Mohammed, Abdulkadir A Salako, Oludayo A Sowande, Ademola O Talabi, Funmilola O Wuraola, Paul Aderemi Adegoke, Abidemi Akinloye, Ayodeji Akinniyi, Joseph Ejimogu, Ideyonbe Samuel Eseile, Olakayode Olaolu Ogundoyin, Amos Okedare, Dare Isaac Olulana, Omolara Omotola, Francis Sanwo, Collins C Adumah, Adewale O Ajagbe, Olugbenga P Akintunde, Opeyemi Q Asafa, Kehinde Awodele, Amogu K Eziyi, Adeniyi O Fasanu, Olufemi O Ojewuyi, Abiodun R Ojewuyi, Abisola E Oyedele, Oluwaseun A Taiwo, Habiba I Abdullahi, Nathaniel D Adewole, Teddy E Agida, Eunice E Ailunia, Oseremen Aisuodionoe-Shadrach, Godwin O Akaba, Janet Alfred, Terkaa Atim, Kehinde G Bawa, John Y Chinda, Esther B Daluk, Sefiu B Eniola, Augusta O Ezenwa, Stephen E Garba, Philip M Mshelbwala, Ngozi O Ndukwe, Idoko P Ogolekwu, Alexander A Ohemu, Samuel A Sani, Salisu Suleiman, Helen Sunday, Nancy O Tabuanu, Aminu M Umar, Peter I Agbonrofo, Alexander I Arekhandia, Morrison E Edena, Raymond A Eghonghon, Joel E Enaholo, Genesis Ida, Stanley N Ideh, Oseihie I Iribhogbe, Omorodion O Irowa, Maradona E Isikhuemen, Oluwatomi R Odutola, Kester O Okoduwa, Scott O Omorogbe, David Oruade, Osasumwen T Osagie, Osarenkhoe Osemwegie, RukiyatA Abdus-Salam, Sikiru Adekola Adebayo, Oluwasanmi A Ajagbe, Gboyega Ajibola, Kelvin I Egbuchulem, Hyginus O Ekwuazi, Adegbolahan Fakoya, Oluwasegun C Idowu, David O Irabor, Taiwo A Lawal, Olakayode O Ogundoyin, Oluwabukade Ojediran, Naomi Olagunju, Akinsola T Sanusi, Augustine O Takure, Lukman Olajide Abdur-Rahman, Mary Oluwadamilola Adebisi, Nurudeen Abiola Adeleke, Rafiat Tinuola Afolabi, Isiaka Ishola Aremu, Jibril Oyekunle Bello, Robiat Bello, Saheed Abolade Lawal, Adeolu Ojajuni, Sabur Oyewale, Victor Abhulimen, Patrick O Igwe, Ikechukwu Enyinnaya Iweha, Raphael E John, Nnyonno Okoi, Philemon E Okoro, Vaduneme Kingsley Oriji, Ibiene T Oweredaba, Japhet Mizero, Immaculee Mutimamwiza, Francoise Nirere, Irenee Niyongombwa, Jean Paul Majyabere, Anastase Byaruhanga, Rongin Dukuzimana, Jean Aimable Habiyakare, Marie Gloriose Nabada, Marcel Uwizeye, Mathias Ruhosha, Joselyne Igiraneza, Faustine Ingabire, Aloys Karekezi, Jean pierre Masengesho, Lydia Mukamazera, Clemence Mukangabo, Jean Paul Niyomuremyi, Gabriel Ntwari, Celestin Seneza, Divine Umuhoza, Pierrine Nyirangeri, Jean Claude Uwimana, Isaie Sibomana, Desire Rubanguka, Josine Umuhoza, Roda Uwayezu, Leoncie Uzikwambara, Herbert Butana, Moise Dusabeyezu, Athanasie Mukasine, Jean N Utumatwishima, Mediatrice Batangana, Jeande Dieu Haragirimana, AllenJ C Ingabire, Espoir Mwungura, Dancilla Nyirasebura, Christian Jean Urimubabo, Anaclet Dusabimana, Sam Kanyesigye, Robert Munyaneza, Jean Yves Shyirakera, Aimee Domingo, Philip Munda, Chido Nyatsambo, Victor Ojo, Rudo Pswarayi, and Soeren Laurberg

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Medicine (General), R5-920, Infectious and parasitic diseases, RC109-216
Published
2024
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41. Novel functional insights into ischemic stroke biology provided by the first genome-wide association study of stroke in indigenous Africans

Author

Akinyemi, Rufus O., Tiwari, Hemant K., Srinivasasainagendra, Vinodh, Akpa, Onoja, Sarfo, Fred S., Akpalu, Albert, Wahab, Kolawole, Obiako, Reginald, Komolafe, Morenikeji, Owolabi, Lukman, Osaigbovo, Godwin O., Mamaeva, Olga A., Halloran, Brian A., Akinyemi, Joshua, Lackland, Daniel, Obiabo, Olugbo Y., Sunmonu, Taofik, Chukwuonye, Innocent I., Arulogun, Oyedunni, Jenkins, Carolyn, Adeoye, Abiodun, Agunloye, Atinuke, Ogah, Okechukwu S., Ogbole, Godwin, Fakunle, Adekunle, Uvere, Ezinne, Coker, Motunrayo M., Okekunle, Akinkunmi, Asowata, Osahon, Diala, Samuel, Ogunronbi, Mayowa, Adeleye, Osi, Laryea, Ruth, Tagge, Raelle, Adeniyi, Sunday, Adusei, Nathaniel, Oguike, Wisdom, Olowoyo, Paul, Adebajo, Olayinka, Olalere, Abimbola, Oladele, Olayinka, Yaria, Joseph, Fawale, Bimbo, Ibinaye, Philip, Oyinloye, Olalekan, Mensah, Yaw, Oladimeji, Omotola, Akpalu, Josephine, Calys-Tagoe, Benedict, Dambatta, Hamisu A., Ogunniyi, Adesola, Kalaria, Rajesh, Arnett, Donna, Rotimi, Charles, Ovbiagele, Bruce, and Owolabi, Mayowa O.

Published
2024
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44. Wear resistance properties of particles-reinforced epoxy nanocomposites using historical data response surface models

Author

Bello, Sefiu Adekunle, Adeyemo, Raphael Gboyega, Alabi, Abdul Ganiyu Funsho, Kolawole, Maruf Yinka, Oniwa, Sadam, Kareem, Azim Bayonle, Azeez, Muizz Oyeleye, Olaiya, Bunmi Bisola, Salami, Tosin Adewale, Abdulkareem, Sofiu Oladimeji, Lawal, Quamdeen Aremu, Mohammad, Kabir Omoniyi, Akindahunsi, Peter Akinola, Agunsoye, Johnson Olumuyiwa, and Hassan, Suleiman Bolaji

Published
2024
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46. ACHIEVE conference proceedings: implementing action plans to reduce and control hypertension burden in Africa

Author

Olowoyo, Paul, Dzudie, Anastase, Okekunle, Akinkunmi Paul, Obiako, Reginald, Mocumbi, Ana, Beheiry, Hind, Parati, Gianfranco, Lackland, Daniel T., Sarfo, Fred S., Odili, Augustine, Adeoye, Abiodun M., Wahab, Kolawole, Agyemang, Charles, Campbell, Norman, Kengne, Andre Pascal, Whelton, Paul K., Pellicori, Pierpaolo, Ebenezer, Ad Adams, Adebayo, Oladimeji, Olalusi, Oladotun, Jegede, Ayodele, Uvere, Ezinne, Adebajo, Olayinka, Awuah, Baffour, Moran, Andrew, Williams, Bryan, Guzik, Tomasz J., Kokuro, Collins, Bukachi, Fred, Ogah, Okechukwu S., Delles, Christian, Maffia, Pasquale, Akinyemi, Rufus, Barango, Prebo, Ojji, Dike, and Owolabi, Mayowa

Published
2024
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48. The Performance Analysis of a Quantum-Mechanical Carnot-like Engine using Diatomic Molecules

Author

Oladimeji, E. O., Ibrahim, T. T., Ikot, A. N., Koffa, J. D., Idundun, V. T., Umeh, E. C., and Audu, J. O.

Subjects
Quantum Physics
Abstract

This study presents an analysis of a quantum mechanical formulation of the Carnot like cycle using diatomic molecules, i.e., the Morse oscillator, as the working substance. The generalized model with an arbitrary one dimensional potential is used to obtain the important performance parameters such as the efficiency, the power output, and the optimal region of the engine by considering well width L moving with a finite speed. The optimal efficiency, the maximum power output, and dimensionless power ranges of the working substance was also determined. The results obtained in this work are found to agree with those obtained for similar engine but with different working substance., Comment: 16 pages, 3 figures

Published
2023

49. Assessment of the ecological status of an ancient reservoir using macroinvertebrate assemblage and water quality parameters

Author

Babatunde Omokunle Amusan, Sikiru Oladimeji Adeleke, and Ayorinde Fola Koleosho

Subjects
Ecological state, Macroinvertebrates, Diversity, Water quality, Pollution-tolerant, Atori Reservoir, Zoology, QL1-991
Abstract

Abstract Background Atori Reservoir, located in the heart of southwestern Nigeria, is a tribute to the region's historical significance and natural splendor. Its establishment as a reservoir in 1935 marked a water resource management watershed in the region, transforming Atori into one of Nigeria’s oldest and most important waterbodies. Despite its ancient age and indisputable importance, the exact ecological state of Atori Reservoir has been shrouded in mystery for decades. This study was necessitated by a paucity of information on the ecological status of Atori Reservoir. Results The study identified 953 macroinvertebrates belonging to four classes, distributed across nine orders and nineteen families within Atori Reservoir. Among these, the class Insecta exhibited the highest diversity, while Melanoides tuberculata, a member of the Mollusca class, emerged as the dominant species. Despite the diverse macroinvertebrate community, the physicochemical parameters of the water raised concerns. Elevated values of total dissolved solids and conductivity indicated poor water quality, which was further reflected in the predominance of pollution-tolerant species and the absence of pollution-sensitive ones. Canonical correspondence analysis highlighted potential correlations between macroinvertebrates and water quality variables, yet statistical significance was lacking, as demonstrated by the Monte Carlo permutation test. Conclusion This study sheds light on the ecological state of Atori Reservoir, revealing a diverse macroinvertebrate community but highlighting concerns regarding water quality. The study also emphasizes the pressing need for improved management practices to safeguard the ecological health of Atori Reservoir, given the critical role it plays in the region's ecosystem and local communities.

Published
2024
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50. Process optimization in the pyroconversion of native sweet potato starch: structural and functional characterization of pyrodextrin

Author

Roli Karole Tsague Tsatsop, Gertrude Eléonore Tchienou Djiobie, Emmanuel Akdowa Panyoo, Stive Martial Sikandi Chendjou, Abdulkabir Oladele Oladimeji, Richard Marcel Nguimbou, and Martin Benoît Ngassoum

Subjects
Dextrinization, Optimization, Sweet potato, Solubility, Crystallinity, Nutrition. Foods and food supply, TX341-641
Abstract

Abstract This work aims to produce dextrin from sweet potato (Ipomoea batatas) starch by pyroconversion. The effect of dextrinization process (roasting time, temperature, and hydrochloric acid concentration) on properties (structural and functional) of starch have been studied using central composite design of experiment. Reaction conditions included: roasting time (55 and 94 min), temperature (127 and 152 °C), and hydrochloric acid concentration (0.17 and 0.43 M). The temperature (quadratic effect X2 2) is highly significant on the three measured responses (p

Published
2024
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