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Aeromagnetic Interpretation of Basement Structures and Geometry in Parts of the Middle Benue Trough,North Central,Nigeria

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Advances in Geological and Geotechnical Engineering Research 2022年第4期4卷 22-40页

作者： Esho Oluwaseyi Olatubosun Osisanya Olajuwon Wasiu Ibitoye Taiwo Abel ajibade femi zephaniah Tokunbo Sanmi Fagbemigun Department of Geology University of IbadanIbadanNigeria Department of Physics University of BeninBeninNigeria Department of Petroleum Engineering and Geosciences Petroleum Training InstituteEffurunNigeria Department of Geophysics Federal UniversityOye-EkitiNigeria

The research of an analysis of aeromagnetic data collected in the middle Benue Trough in north-central Nigeria is presented.A detailed analysis of basement structures is conducted in order to identify regions with high hydrocarbon potential that is different from those discovered by earlier *** data were filtered by using the Butterworth and Gaussian filters,transformed by engaging the reduction to the equator technique,and subsequently *** estimate magnetic basement depths at various places throughout the basin,the Euler deconvolution depth weighting approach was ***(11)sub-basins with depths ranging from-2000 m to-8000 m were also identified by Euler’s *** sub-basins trend in the NE-SW direction while the average sediment thickness is found to be more than 3 *** extracted structural features indicate areas like Kadi Blam and Kado areas in the southeastern part and Ogoja and Obudu in the southern part of the study area as regions with high structural *** areas coincide with the areas delineated as the *** cross-sections generated reveal depressions caused by the action of some tectonic activities in the *** study identified undulating basement topography believed to be due to tectonic activities as well as five areas that are possible targets for hydrocarbon exploration.

关键词： Aeromagnetic data Euler deconvolution Basement structures Hydrocarbon potentials Middle Benue Trough

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Phytochemical screening and antibacterial activities of Momordica charantia and Vernonia amygdalina extracts on some selected enteric isolates

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TMR Modern Herbal Medicine 2024年第1期7卷 11-18页

作者： Seyi-Samson Enitan Zaynab-Aderonke Ojubanire Temiloluwa-femi Oyedele Nwachi-Idume Ogbonna Adekunle-Totoola Adeyemi Jamiu-Monsur Olalekan Ayomide-Oluwatobiloba Okuneye Department of Medical Laboratory Science Babcock University Ilishan-RemoOgun state 121103Nigeria Department of Medical Microbiology Babcock University Teaching HospitalIlishan-RemoOgun State 121103Nigeria Department of Education Medical Laboratory Science Council of NigeriaFCT-Abuja 900110Nigeria Clinical Laboratory Department Central Medical Diagnostic CentreIbadan 200113Nigeria

Background:This research focuses on herbal medicine,an ancient healthcare practice,exploring the antibacterial attributes of fresh and dried leaf extracts from Momordica charantia(commonly known as Bitter melon)and Vernonia amygdalina(Bitter leaf).The study specifically investigates their effects on different bacterial strains associated with ***:Four enteric bacterial isolates-Klebsiella pneumoniae,Salmonella typhi,Escherichia coli,and Proteus mirabilis-were obtained from the Medical Laboratory Unit at Babcock University Teaching Hospital in Ilishan-Remo,Ogun *** screening and antibacterial testing were conducted using standard biochemical techniques and the Punch-hole agar diffusion method,***:Qualitative phytochemical screening of the plant extracts revealed the presence of flavonoids,glycosides,and saponin in both plants,excluding *** were identified only in Vernonia *** these phytochemicals,neither plant displayed inhibitory effects on the tested bacterial isolates(Escherichia coli,Proteus mirabilis,Klebsiella pneumoniae,and Salmonella typhi)when tested individually or in ***,combining the fresh and dried leaf extracts of Momordica charantia and Vernonia amygdalina with a standard drug resulted in smaller mean zone diameters of inhibition(Escherichia coli range:14 mm–16 mm,Proteus mirabilis range:31 mm–35 mm,Klebsiella pneumoniae range:13 mm–22 mm,and Salmonella typhi range:35 mm–38 mm)compared to the drug tested alone(16 mm–45 mm).Conclusion:Despite previous indications of antibacterial properties in various extracts of *** and *** leaves,our study presents contradictory results,prompting the need for further investigation despite the presence of significant phytochemicals.

关键词： phytochemical screening herbal medicine Momordica charantia Vernonia amygdalina enteric isolates

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A two-phase multiobjective optimization for benchmarking and evaluating service quality in banks

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International Journal of Intelligent Computing and Cybernetics 2018年第4期11卷 446-470页

作者： femi Emmanuel Ayo Department of Computer Science Federal University of AgricultureAbeokutaNigeria

Purpose–Service quality is an evaluation of how well a delivered service meets customers’*** purpose of this paper is to provide a reliable scale of measurement for service quality in ***/methodology/approach–The SERVQUAL model was adopted based on a Banking Service Quality(BSQ)model and a two-phase multiobjective optimization model was designed.A structured questionnaire with five-point Likert scale was administered with a 93 percent response rate of 270 sample size.A total of 22 variables were considered based on the BSQ model and the significance of these variables to customers’satisfaction were *** analysis was used to extract the most influential factors on the measure of service quality and four factors were selected namely:they deliver when promised,precision on account statements,queues that move rapidly and sufficient number of ATMs per *** order to determine the reliability of the multiple Likert questions in the survey,Cronbach’sαwas used indicating a scale reliability of ***,multiple regression analysis was carried out on the selected factors to design an objective function for the design and evaluation of service quality *** model design used for benchmarking was done using multiobjective genetic algorithm in ***,the model evaluation was done in a java interface using multiobjective particle swamp ***–The evaluation results validated the designed model and showed that the factors they deliver when promised and queues that move rapidly are a more reliable scale of measurement for customer’s satisfaction than the factors precision on account statements and sufficient number of ATMs per *** limitations/implications–The implication of the results is that effectiveness and assurance combined with access is a more significant factor for measuring customers’satisfaction than tangibles based on the BSQ ***/value–The introduction of a two-phase o

关键词： SERVQUAL Benchmarking BSQ Multiple regression Genetic algorithm(GA) Particle swamp optimization(PSO)

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Factors Associated with High Blood Pressure and Diabetes Cormobidity in Littoral Department of Benin, in 2023

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Open Journal of Internal Medicine 2024年第2期14卷 188-212页

作者： Rodrigue Sèmèvo Kakpo Zannou Georgia Barikissou Damien Léopold Codjo Coovi Nonwanou Ignace Tokpanoude Elvire Sègnon Eurydice Djossou Folabi femi Teddy Attonde Lorens Sènan Zinsalo Mondoukpe Mouinatou Tao Marius Esse Badirou Aguemon Public Health Unit Faculty of Health Sciences University of Abomey-Calavi (UAC) Cotonou Bnin Cardiology Service National Hospital and University Center Hubert Koutoukou Maga de Cotonou (CNHU-HKM) University of Abomey-Calavi (UAC) Cotonou Bnin

Introduction: The number of people suffering from diabetes and hypertension (HBP) is increasing worldwide and particularly in sub-Saharan Africa, despite the fact that they are preventable. The aim of our study is to determine the factors associated with hypertension and diabetes comorbidity in the Department of Littoral in 2023. Study Setting and Methods: Our study took place in the Department of Littoral in Benin. It was a cross-sectional general population study conducted over a three-month period from April 10 to July 10, 2023. It included subjects aged 18 and over with or without a history of hypertension and/or diabetes. The sampling method was probabilistic and the technique used was a WHO three-stage cluster survey. The dependent variable is comorbidity of hypertension and diabetes. A logistic regression model was used to identify factors associated with hypertension-diabetes comorbidity. Results: The study population was predominantly female (59.9%). The mean age was 44 ± 17. A total of 48 (8.8%) of the subjects in the study suffered from both diabetes and hypertension. Factors associated with comorbidity of hypertension and diabetes were age ≥ 50 years (OR: 5.48;95% CI: 2.69 - 12.20;p = 0.001);male sex (OR: 2.98;95% CI: 1.39 - 6.46;p = 0.005);too much salt or salty sauce consumed (OR: 6.06;95% CI: 1.56 - 22.20;p = 0.034);abdominal obesity (OR: 6.12;95% CI: 2.79 - 14.3;p = 0.001). Conclusion: Hypertension and diabetes are emerging as major public health problems in Benin. The main associated factors were age, gender, the amount of salt or salty sauce consumed and abdominal obesity. A response is urgently needed to act on the factors identified in order to avoid possible complications and an increase in prevalence.

关键词： Comorbidity Hypertension-Diabetes Associated Factors Littoral Department Benin

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Selected fermented indigenous vegetables and fruits from Malaysia as potential sources of natural probiotics for improving gut health

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Food Science and Human Wellness 2023年第5期12卷 1493-1509页

作者： Olaide Olawunmi Ajibola Raymond Thomas Babatunde femi Bakare Department of Biochemistry Memorial University of NewfoundlandSt.John’sNL A1C 5S7Canada Faculty of Resource Science and Technology Universiti Malaysia SarawakKota Samarahan 94300Malaysia Institute of Biodiversity and Environmental Conservation Universiti Malaysia SarawakKota Samarahan 94300Malaysia School of Science and the Environmental Science/Boreal Ecosystem Research Initiative Memorial University of NewfoundlandCorner Brook A2H 5G4Canada Department of Biology/Biotron Experimental Climate Change Research Centre Western UniversityLondon N6A 5BCanada Environmental Pollution and Remediation Research Group Department of Chemical EngineeringMangosuthu University of TechnologyDurban 4031South Africa

In the Peninsular Malaysia and Northern Borneo island of Malaysia, various rich indigenous leafy vegetables and fruits grow and contribute to the nutritional and dietary values of the population. They have high water contents, thus, naturally vulnerable to rapid food spoilage. Food preservation and processing play a vital role in the inhibition of food pathogens in fruits and vegetables that are prevalent in Malaysia. Lactic acid fermentation is generally a local-based bioprocess, among the oldest form and well-known for food-processing techniques among indigenous people there. The long shelf life of fermented vegetables and fruits improves their nutritional values and antioxidant potentials. Fermented leaves and vegetables can be utilized as a potential source of probiotics as they are host for several lactic acid bacteria such as Lactobacillus confusus, Weissella paramesenteroides, Enterococcus faecalis, Lactobacillus plantarum, Lactobacillus buchneri, Lactobacillus paracasei, Lactobacillus pentosus, Pediococcus acidilactici, Pediococcus pentosaceus and Leuconostoc mesenteroides. These strains may be more viable in metabolic systems whereby they can contribute to a substantial increase in essential biologically active element than industrial starter cultures. This review is aimed to address some essential fermented fruits and vegetables in Malaysia and their remarkable reputations as a potential sources of natural probiotics.

关键词： Ethnic Leafy vegetables Fruit Fermentation Lactic acid bacteria Malaysia

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CA-KSE: a combinatorial algorithm for benchmarking in knowledge sharing environment

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International Journal of Intelligent Computing and Cybernetics 2019年第1期12卷 2-22页

作者： femi Emmanuel Ayo Olusegun Folorunso Sakinat Oluwabukonla Folorunso Department of Computer Science Federal University of AgricultureAbeokutaNigeria Department of Physical and Computer Sciences McPherson UniversitySeriki SotayoNigeria Department of Computer Science College of Physical SciencesFederal University of AgricultureAbeokutaNigeria Department of Mathematical Sciences Olabisi Onabanjo UniversityAgo IwoyeNigeria

Purpose–Over the past decade,the cost of product development has increased drastically,and this is due to the inability of most enterprises to locate suitable and optimal collaborators for knowledge ***,knowledge sharing is a mechanism that helps people find the best collaborators with relevant ***,a new approach for locating optimal collaborators with relevant knowledge is needed,which couldhelp enterprisein reducingcost andtime ina *** aimsto discuss these ***/methodology/approach–One unique challenge in the domain of knowledge sharing is that collaborators do not possess the same number of events resident in the knowledge available for *** this paper,the authors present a new approach for locating optimal collaborators in knowledge-sharing environment using the combinatorial algorithm(CA-KSE).Findings–The proposed pattern-matching approach implemented in Java is considered efficient for solving the issue peculiar to collaboration in knowledge-sharing *** authors benchmarked the proposed approach with its semi-global pairwise alignment and global alignment counterparts through scores comparison and the receiver operating characteristic *** results obtained from the comparisons showedthat CA-KSEis a perfect test havinganarea undercurveof 0.9659,comparedto the other *** limitations/implications–The paper has proposed an efficient algorithm,which is considered better than related methods,for matching several collaborators(more than two)in KS *** method could be deployed in medical field for gene analysis,software organizations for distributed development and academics for knowledge ***/value–One sign of strength of this approach,compared to most sequence alignment approaches that can only match two collaborators at a time,is that it can match several collaborators at a faster rate.

关键词： Combinatorial algorithm Knowledge sharing(KS) Collaborators Pattern matching,Benchmark score

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Characterisation and mapping of land subsidence based on geodetic observations in Lagos,Nigeria

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Geodesy and Geodynamics 2020年第2期11卷 151-162页

作者： Ikuemonisan femi Emmanuel Ozebo Vitalis Chidi Department of Physics Faculty of ScienceUniversity of LagosAkokaLagosNigeria

The pervasive seasonal flooding,aquifer contamination,and saline water intrusion in parts of Lagos are some of the long-term effects of land subsidence caused by the excessive groundwater exploitation and land reclamation that has been taking place in the *** to monitor the extent and pattern of land deformation will help in many ways to mitigate the effects of flooding and other geohazards associated with land *** this study,we characterised and mapped the land subsidence in the Lagos city based on the analyses of geodetic data,which included Global Positioning Satellite(GPS),Envisat,Sentinel-1,and GRACE *** applied the SBAS technique to the Envisat and Sentinel-1 datasets acquired from 2004-2011 and 2015-2019,respectively,and to perform multi-temporal analyses and produce corresponding subsidence maps over the Lagos *** GRACE data were used to infer the extent and trend of groundwater changes at the GPS *** results indicate that the subsidence is a widespread phenomenon in Lagos city,with subsidence rates varying between-2 mm/year and-87 mm/*** highest subsidence rate was observed around the coastal zones and areas where heavy structures are built on *** the highest rate at present,subsidence has gradually increased in the last 15 *** the development of indiscriminate groundwater exploitation,urbanization,and rapid population growth,the subsidence rate in Lagos city is likely to rise significantly in the coming years,which,in turn,may further escalate the flood rate and other associated geohazards.

关键词： InSAR P-SBAS Deformation time series Land subsidence Lagos

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Hate speech detection in Twitter using hybrid embeddings and improved cuckoo search-based neural networks

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International Journal of Intelligent Computing and Cybernetics 2020年第4期13卷 485-525页

作者： femi Emmanuel Ayo Olusegun Folorunso Friday Thomas Ibharalu Idowu Ademola Osinuga Computer Science College of Natural and Applied SciencesMcPherson UniversitySeriki SotayoNigeria Computer Science College of Natural SciencesFederal University of Agriculture AbeokutaAbeokutaNigeria Computer Science Federal University of Agriculture AbeokutaAbeokutaNigeria Mathematics Federal University of Agriculture AbeokutaAbeokutaNigeria

Purpose-Hate speech is an expression of intense *** has become a popular analytical tool for the prediction and monitoring of abusive *** speech detection with social media data has witnessed special research attention in recent studies,hence,the need to design a generic metadata architecture and efficient feature extraction technique to enhance hate speech ***/methodology/approach-This study proposes a hybrid embeddings enhanced with a topic inference method and an improved cuckoo search neural network for hate speech detection in Twitter *** proposed method uses a hybrid embeddings technique that includes Term Frequency-Inverse Document Frequency(TF-IDF)for word-level feature extraction and Long Short Term Memory(LSTM)which is a variant of recurrent neural networks architecture for sentence-level feature *** extracted features from the hybrid embeddings then serve as input into the improved cuckoo search neural network for the prediction of a tweet as hate speech,offensive language or ***-The proposed method showed better results when tested on the collected Twitter datasets compared to other related *** order to validate the performances of the proposed method,t-test and post hoc multiple comparisons were used to compare the significance and means of the proposed method with other related methods for hate speech ***,Paired Sample t-Test was also conducted to validate the performances of the proposed method with other related *** limitations/implications-Finally,the evaluation results showed that the proposed method outperforms other related methods with mean F1-score of ***/value-The main novelty of this study is the use of an automatic topic spotting measure based on na€ıve Bayes model to improve features representation.

关键词： Twitter Hate speech detection Embeddings Cuckoo search Neural networks

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Highly Efficient and Stable Hybrid White Organic Light Emitting Diodes with Controllable Exciton Behavior by a Mixed Bipolar Interlayer

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Chinese Physics Letters 2016年第7期33卷 170-173页

作者：侯媛媛李江红冀晓翔吴亚锋范玮 Igbari femi School of Power and Energy Northwestern Polytechnical University Department of Chemistry Faculty of ScienceUniversity of Lagos

Highly efficient and stable hybrid white organic light-emitting diodes （HWOLEDs） with a mixed bipolar interlayer between fluorescent blue and phosphorescent yellow emitting layers are demonstrated. The bipolar interlayer is a mixture of p-type diphenyl （l0-phenyl-lOH-spiro [acridine-9,9＇-fluoren]-3Lyl） phosphine oxide and n-type 2＇,2- （1,3,5-benzinetriyl）-tris（1-phenyl-l-H-benzimidazole）. The electroluminance and Commission Internationale de l＇Eclairage （CIE1931） coordinates＇ characteristics can be modulated easily by adjusting the ratio of the hole- predominated material to the electron-predominated material in the interlayer. The hybrid WOLED with a p-type：n-type ratio of 1：3 shows a maximum current efficiency and power efficiency of 61.1 ed/A and 55.8 lm/W, respectively, with warm white CIE coordinates of （0.34, 0.43）. The excellent efficiency and adaptive CIE coordi- nates are attributed to the mixed interlayer with improved charge carrier balance, optimized exciton distribution, and enhanced harvesting of singlet and triplet excitons.

关键词： with is of by Highly Efficient and Stable Hybrid White Organic Light Emitting Diodes with Controllable Exciton Behavior by a Mixed Bipolar Interlayer in

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Geostatistical evaluation of spatial variability of land subsidence rates in Lagos, Nigeria

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Geodesy and Geodynamics 2020年第5期11卷 316-327页

作者： femi Emmanuel Ikuemonisan Vitalis Chidi Ozebo Olawale Babatunde Olatinsu Department of Physics Faculty of ScienceUniversity of LagosAkokaLagosNigeria

Accurate land subsidence prediction is fundamental for effective management of land subsidence and other associated geohazards. Lagos, the most densely populated city in Nigeria, has been adversely affected by widespread land subsidence. Previous studies have largely been restricted to analyzing space geodetic technique data. Unfortunately, this technique imposes spatial limitations resulting in incomplete coverage of the study areas due to atmospheric effects, orbital satellite characteristics, or surface characteristics. The application of geostatistics to georeferenced data obtained from space-based measurements can reliably provide complete information on spatial variability. The objective of this study is to provide an overview of current subsidence rates and to assess the spatial variability of land subsidence in the study area by using geostatistics that integrate semivariogram and ordinary kriging. The study area was partitioned into eight subregions;for each subregion, the experimental variogram was determined from the observed data and fitted to the optimal models. Seven subregions were fitted to exponential models and one was fitted to the spherical model. The model semivariograms were used in the kriging analysis to estimate the spatial variability of subsidence rates. The results showed that the nugget-to-sill ratio lies between 44 and 70%, indicating that the spatial variation of subsidence rates at the scale under study is moderately distributed and the mechanism of deformation is similar. The nugget effect of the subsidence rate is between 0.25 and 0.75, indicating that subsidence rates are influenced by various contributions. The predicted spatial variability of subsidence rates by Ordinary Kriging presents reliable values of R-squared(0.32 e0.42) and RMSE(0.21 e0.30). Critical subsidence rates characterised the areas around the Atlantic Ocean coastal alluvium deposit, the Lagos lagoon, and the Ogun River flood *** study successfully demon

关键词： subsidence variability coastal

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