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Sequential Analysis in the Identification of 3rd Order System Tract in the Abidjan Margin

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Open Journal of Applied Sciences 2024年第6期14卷 1474-1489页

作者： Blandine Akissi Egoran N’guessan Donald Ahoure Fori Yao paul Assalé Sylvain Mondé Loukou victor N’da UFR Marine Sciences San Pedro University San Pedro Cte dIvoire UFR of Sciences and Technologies Alassane Ouattara Bouak Laboratory of Plant Biology and Earth Sciences Bouak Cte dIvoire UFR/STRM Flix Houphout Boigny de Cocody Abidjan Cte dIvoire PETROCI Consultant at the Center for Analysis and Research Department of Sequential Stratigraphy Abidjan Cte dIvoire

The use of sequential stratigraphy concept, based on well logs, sedimentology, and biostratigraphy, has shed light on the complex mechanisms controlling sedimentary accumulations. Consequently, identifying these mechanisms allows us to predict the hydrocarbon generation potential of source rocks. In the Ivorian offshore sedimentary basin, certain studies have contributed to understanding and characterizing the petroleum system. However, these previous works did not integrate biostratigraphic data to highlight sedimentary facies. This study, conducted on two wells in the Abidjan margin, is crucial as it helps us comprehend the geometry of fossil sediments in relation to sea level variations. It will also aid in reconstructing the basin-filling history and predicting the distribution of rocks capable of trapping oil, determining lowstand systems tracts (reservoir rocks), transgressive systems tracts, and highstand systems tracts (cap rocks). Lithological analysis revealed predominantly clayey sedimentation with sandy layers. Well log data facilitated the delineation of formation boundaries and highlighted reservoirs consisting of sands, sandstones, limestones, and occasionally intercalated shales. Integrating these analysis results with biostratigraphic interpretations based on foraminifera and palynomorphs revealed that the traversed formations were deposited in a transitional environment ranging from Coniacian to Maastrichtian ages. Applying sequential stratigraphy concept from well logging resolved dating issues encountered in microfossil-poor or microfossil-free zones. The results of the Coniacian-Maastrichtian age sequential subdivision were aligned with the chart.

关键词： Sequence Stratigraphy Systems Tracts Senonian Côte d’Ivoire

Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1981-2004页

作者： Shaik Mahaboob Basha victor Hugo Cde Albuquerque Samia Allaoua Chelloug Mohamed Abd Elaziz Shaik Hashmitha Mohisin Suhail Parvaze Pathan Department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India Department of Veterinary Clinical Sciences University of MinnesotaSt.PaulMinnesota55108USA

Manual investigation of chest radiography(CXR)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCM)-based features,while vessel-like features are obtained using Frangi,Sato,and Meijering *** learning models employing Decision Tree(DT)and RandomForest(RF)approaches are designed to categorize CXR images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective ML model for aiding *** ML model validation using performance measures,including an accuracy of approximately 91.8%with an RF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXR images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXR)image COVID-19 classifier machine learning random forest texture analysis

Cystic Degeneration of Uterine Myoma Simulating Ovarian Cancer in Postpartum: A Case Report at the Teaching Hospital of Angre

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Open Journal of Obstetrics and Gynecology 2024年第9期14卷 1522-1528页

作者： Roland Adjoby Ndrin Denis Effoh Soh victor Koffi Okoin paul José Loba Ngolo Alassane Soro Yapo Privat Akobé Ramata Kouakou-Kouraogo Michelle Gadji Obstetric Gynecology Department of Angres Teaching Hospital Abidjan Cte dIvoire

The transformation of uterine fibroids is common in relation to their development. Giant forms of cystic degeneration are rare. They raise diagnostic difficulties with other pelvic tumors, such as ovarian tumors and leiomyosarcomas. Magnetic resonance imaging specifies the original organ, the volume and the main relationships of fibromyoma with adjacent structures. The diagnosis of certainty is based on laparotomy coupled with histology. The authors illustrate these difficulties by observing a giant cystic degenerative fibroma in a 26-year-old G1P1 woman in the postpartum period.

关键词： Fibromyoma Uterine Neoplasia Pelvic Tumor MRI

Application of Single Angle Turbidimetry on Coag-Flocculation Effect of <i>Detarium microcarpum</i>Seed in Brewery Effluent

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Materials Sciences and Applications 2014年第6期5卷 416-429页

作者： Bernard Ibezim Okolo Patrick chukwudi Nnaji Matthew chukwudi Menkiti victor Ifeanyi Ugonabo Okechukwu Dominic Onukwuli Department of Chemical Engineering Michael Okpara University of Agriculture Umudike Nigeria Department of Chemical Engineering Nnamdi Azikiwe University Awka Nigeria

Coagulation-flocculation is a proven technique for the removal of suspended solids in wastewater, through the application of single angle turbidimetric measurement. Through this measurement, the coag-flocculation kinetics and functional parameters behavior of Detarium microcarpumin brewery effluent with respect to pH, dosage and time were followed at room temperature. Process parameters such as order of reaction α, rate constant (K), coagulation period τ1/2 etc were determined. Results indicated that reaction order, rate constant, period, pH and dosage recorded optimum values at 2, 1.8 × 10-2 L/***, 0.152 min, 4 and 100 mg/L, respectively. Maximum efficiency recorded was 96.07% at 30 min. Detarium microcarpum has shown potential as an effective bio-coagulant for the removal of turbidity from brewery effluent.

关键词： Detarium microcarpum Coagulation-Flocculation Brewery Effluent Turbidimetry

Parametric Response Evaluation for Xanthosoma spp. Induced Coag-Flocculation of Brewery Effluent

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Green and Sustainable Chemistry 2014年第1期4卷 7-14页

作者： Bernard Ibezimako Okolo Patrick chukwudi Nnaji Matthew chukwudi Menkiti victor Ifeanyi Ugonabo Okechukwu Dominic Onukwuli Chemical Engineering Department Michael Okpara University of Agriculture Umudike Nigeria Chemical Engineering Department Nnamdi Azikiwe University Awka Nigeria

This paper presents the kinetic and functional parametric behavior of cocoyam coagulant (CYC) in respect of pH and time variation in brewery effluent at room temperature. The study employed standard nephelometric jar test while CYC production was based on method reported by Ndabigengesere. Coag-flocculation parameter such as order of reaction α, rate constant K, coagulation period, τ1/2 etc. were determined. Maximum parameter values are recorded at K of 6 × 10-1 L/mg·min;dosage of 200 mg/L, pH 8 and τ1/2 of 0.00146 min while the minimum values are recorded at 3 × 10-7 L/mg, dosage of 100 mg/L, pH 10 and τ1/2 of 20.4 min. The maximum coag-flocculation efficiency E (%) obtained was 92.28, thus establishing CYC as a potential effective coag-flocculaant.

关键词： Cocoyam Brewery Effluent Coag-Flocculation Xanthosoma spp. Perikinetic

Sequential Analysis in the Identification of 3rd Order System Tract in the Abidjan Margin

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An Appraisal of the Major National Dialogue as a Panacea to the Anglophone Crisis in Cameroon

Open Journal of Applied Sciences（应用科学） 2024年第6期 1474页

作者： Blandine Akissi Egoran N’guessan Donald Ahoure Fori Yao paul Assalé Sylvain Mondé Loukou victor N’da

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Journalism and Mass Communication 2024年第1期14卷 31-51页

作者： Ngonjo victor Fuh University of Maroua MarouaCameroon

This paper explores the Major National Dialogue organised by paul Biya from the 30th of September to the 4th of October,2019 as a panacea to the *** paper also seeks to find out if this dialogue has been the panacea Cameroonians as a whole and the people of Southern Cameroons in particular have been waiting for to end this *** research uses a qualitative research *** is because the researcher culled information from Jeune Afrique Economie(2019a),Cameroon Tribune,and from *** analysis was used to analyse the collected *** analysis is used to get the views of the public whether the Major National Dialogue was really a panacea to the Anglophone *** analysis revealed that there were two opposing opinions on the holding of this *** government thinks the dialogue was a panacea to put an end to this crisis because there is ongoing construction work in the war zones,and economic activities have witnessed an increase in the regions as the various production units of the Cameroon Development Corporation(CDC)and Pamol plantations have regained agricultural *** Ndawara tea estate now functions without ***-border trade is on the rise and transportation is fluid,except in the rural areas where the state of the road network is poor to name but *** the other hand,politicians,political parties like the Social Democratic Front,activists,religious leaders,the affected populations,and Cameroonians at large think that the Major National Dialogue was a monologue and therefore was bound to fail because first,key actors arrested and detained in connection to this crisis were not part of this *** this reason,they are calling for a genuine and an inclusive *** addition,they argue that we cannot be talking of peace when fighting is still raging on and people are being killed,houses and schools are being burnt,and people are being kidnapped every day for ransom to mention but t

关键词： appraisal major national dialogue panacea Anglophone crisis Cameroon

Discrete Element Modeling of a Subduction Zone with a Seafloor Irregularity and its Impact on the Seismic Cycle

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Acta Geologica Sinica(English Edition) 2022年第3期96卷 776-790页

作者： JIAO Liqing CHAN Chung-Han Luc SCHOLTÈS Aurélia HUBERT-FERRARI Frédéric-victor DONZÉ paul TAPPONNIER SinoProbe Center Chinese Academy of Geological SciencesBeijing 100037China Institute of Geology Chinese Academy of Geological SciencesBeijing 100037China Earthquake-Disaster&Risk Evaluation and Management(E-DREaM)Center National Central UniversityTaoyuanChina Department of Earth Sciences National Central UniversityTaoyuanChina CNRS IRDOPGCLaboratoire Magma et VolcansUniversitéClermont AuvergneClermont-FerrandFrance Department de Geography Universitéde LiegeLiegeBelgium Institut des Sciences de la Terre UniversitéGrenoble AlpesGrenobleFrance National Institute of Natural Hazards MEMCBeijing 100085China

Seafloor irregularities influence rupture behavior along the subducting slab and in the overriding plate,thus affecting earthquake *** seafloor irregularities increase the likelihood of large earthquakes in a subduction zone remains contested,partially due to focus put either on fault development or on rupture ***,we simulate a subducting slab with a seafloor irregularity and the resulting deformation pattern of the overriding plate using the discrete element *** simulations illustrate the rupture along three major fault systems:megathrust,splay and backthrust *** results show different rupture dimensions of earthquake events varying from tens to ca.140 *** results suggest that the recurrence interval of megathrust events with rupture length of ca.100 km is ca.140 years,which is overall comparable to the paleoseismic records at the Mentawai area of the Sumatran *** further propose the coseismic slip amounts decrease and interseismic slip amounts increase from the surface downwards *** conclude that the presence of seafloor irregularities significantly affects rupture events along the slab as well as fault patterns in the overriding plate.

关键词： discrete element modeling subduction zone megathrust splay backthrust faults seamount Mentawai

Modeling the Nigerian Bonny Light Crude Oil Price: The Power of Fuzzy Time Series

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Open Journal of Modelling and Simulation 2021年第4期9卷 370-3900页

作者： Desmond Chekwube Bartholomew Ukamaka Cynthia Orumie chukwudi paul Obite Blessing Iheoma Duru Felix Chikereuba Akanno Department of Statistics Federal University of Technology Owerri Owerri Nigeria Department of Mathematics and Statistics University of Port Harcourt Port Harcourt Nigeria

Several authors have used different classical statistical models to fit the Nigerian Bonny Light crude oil price but the application of machine learning models and Fuzzy Time Series model on the crude oil price has been grossly understudied. Therefore, in this study, a classical statistical model—Autoregressive Integrated Moving Average (ARIMA), two machine learning models—Artificial Neural Network (ANN) and Random Forest (RF) and Fuzzy Time Series (FTS) Model were compared in modeling the Nigerian Bonny Light crude oil price data for the periods from January, 2006 to December, 2020. The monthly secondary data were collected from the Nigerian National Petroleum Corporation (NNPC) and Reuters website and divided into train (70%) and test (30%) sets. The train set was used in building the models and the models were validated using the test set. The performance measures used for the comparison include: The modified Diebold-Mariano test, the Root Mean Square Error (RMSE), the Mean Absolute Percentage Error (MAPE) and Nash-Sutcliffe Efficiency (NSE) values. Based on the performance measures, ANN (4, 1, 1) and RF performed better than ARIMA (1, 1, 0) model but FTS model using Chen’s algorithm outperformed every other model. The results recommend the use of FTS model for forecasting future values of the Nigerian Bonny Light Crude oil. However, a hybrid model of ARIMA-ANN or ARIMA-RF should be built and compared with Chen’s algorithm FTS model for the same data set to further

关键词： ARIMA Artificial Neural Network Chen’s Algorithm Fuzzy Time Series Random Forest