Peer-reviewed international research papers published open-access with EOI assignment and global indexing across engineering, computer science, environmental science, social sciences, and more.
Njoku P. I., Sule H. S., Temple C. E., Anderline O. A., Onyekezini S. O., Ilelaboye A. J., Ayaebi J. C., Otokpa S. O., Agbukata G. O., Iboko C. J., Chimemena O. A., Mustafa M., Chibueze P. C., Ezekaka C., Okechukwu N. C., Agazh B. M., Onodu P. O., Agada E
Hepatitis C Virus (HCV) infection remains a significant global health burden, particularly in low-resource settings where conventional diagnostic approaches are costly and logistically demanding. This study proposes a machine learning–based diagnostic framework for identifying HCV using a Bayesian optimization approach to enhance predictive performance. A clinical dataset comprising 615 observations and 13 demographic and biochemical variables was utilized. The dataset included five diagnostic categories, with evident class imbalance dominated by healthy blood donors (73.5%). Comprehensive preprocessing was conducted, including median imputation for missing values, outlier treatment, categorical encoding, and an 80:20 stratified train–test split. Six supervised learning algorithms which are XGBoost, Random Forest, Support Vector Machine (SVM), Logistic Regression, AdaBoost, and LightGBM were implemented within an imbalanced-learning pipeline incorporating SMOTE to address class imbalance. Hyperparameter tuning was performed using Bayesian Optimization through the Optuna library with a Tree-structured Parzen Estimator sampler under 10-fold stratified cross-validation. Model performance was evaluated using Accuracy, Precision, Recall, F1-score, ROC-AUC, and Cohen’s Kappa. Results demonstrate strong predictive capability across all models. Random Forest achieved the highest test accuracy (98.37%), highest F1-score for the minority class (92.86%), and a near-perfect AUC (0.9963). LightGBM and XGBoost followed closely with accuracies of 97.56% and AUC values exceeding 0.99. The high Kappa coefficients confirm substantial to near-perfect agreement beyond chance. Comparative analysis with recent studies indicates that the proposed framework achieves competitive and slightly improved performance. The findings suggest that integrating robust preprocessing, SMOTE-based imbalance handling, and Bayesian hyperparameter optimization significantly enhances diagnostic accuracy and generalization capability for HCV detection.
: Since the integration of the situation-based approch ( SBA ) in the education systems of several nations, including our country, the DRC, the learner's role has changed,evolving from a simple recipient to an artisan and builder of their own knowledge and skills. Thus, 219 secondary school students, constituting a matched sample, were first subjected to a problème-based assessment, then to a second assessment with classic items, in order to evaluate the student's degree of adaptation to an evaluation meeting the standards of a paradigm aimed at developing student's skills. At a significance level of =0,05 and df =218 , the results of our research demonstrated a significant difference between student's performance on standard items and problem-solving situations ( Calculated t=12,61> critical t=1,971) . This reflects a strong adaptation to standard items ( = 7,5 and 95,4% success rate) compared to problem-solving situations ( =5,3 and 65,3% ) . This nevertheless indicates an acceptable level of adaptation for secondary school students to SBA assessment. Keywords: Analysis, Performance, Situational Approach, Adaptation, Skills RÉSUMÉ : Depuis l'intégration de l'approche par situations ( APS) dans les systèmes éducatifs de plusieurs nations dont la RDC notre pays, l'apprenant a mué de son rôle, passant d'un simple récepteur à un artisan et constructeur de ses propres connaissances ainsi que compétences. Ainsi, 219 élèves du secondaire constituant un échantillon apparié ont été premièrement soumis à un questionnaire portant les Situations-problèmes, à un second portant des items classiques , en vue d'évaluer le degré d'adaptation des élèves à une évaluation répondant aux normes d'un paradigme visant la construction des compétences chez les élèves. Au seuil de signification =0,05 et au ddl =218 , les résultats de notre recherche ont démontré l'existence d'une différence significative entre les performances des élèves aux items classiques et aux situations - problèmes ( t cal=12,61> t critique=1,971) , traduisant une forte adaptation aux items ( =7,5 et 95,4% de réussite) par rapport aux Situations-problèmes ( =5,3 et 65,2 % de réussite) , ce qui traduit néanmoins un seuil aussi acceptable d'adaptation d'élèves du secondaire à l'évaluation selon l'APS. Mots clés : Analyse, Performances, Approche Par Situations, Adaptation , Compétences
Notre étude menée dans la région rurale de Tshilenge du 15/03 au 15/05/2024, s'est focalisé sur l’évaluation des défis majeurs liés aux enseignants de cours d'informatique des établissements scolaires pour l'intégration des Technologies de l'Information et de la Communication (TIC) dans les écoles secondaires en milieu rural de Tshilenge » En effet, nous avons utilisé la méthode d'enquête combinée aux techniques : l’interview, le dialogue, l'observation participative, documentaire et l'analyse statistique au moyen du logiciel SPSS. Les résultats émanent des enquêtes ont révélé que les défis majeurs liés aux enseignants dans l’intégration des TICS dans les écoles secondaires de la contrée rurale du Territoire de Tshilenge sont notamment : l’inexistence de formation des enseignants en didactique, manque de manuels scolaires et de matériels informatiques, non organisation des séances pratiques associant les élèves dans le cours d’informatique, l’insuffisance du nombre d'heures alloué au cours d’informatique.
Nos enquêtes réalisées sur terrain dans les deux Sous Divisions de Tshilenge 1 et 2 rurale de Tshilenge regroupement la Chefferie de Bakwa Kalonji et les deux Communes Rurales de Tshilenge et celle de Lukalaba du 15/03 au 15/05/2024, s'est focalisé sur l’évaluation des défis majeurs liés aux élèves concernant le cours d'informatique dans leurs écoles respectives sur l'intégration des Technologies de l'Information et de la Communication (TIC) dans les écoles secondaires en milieu rural de Tshilenge » En effet, nous avons utilisé la méthode d'enquête combinée aux techniques : l’interview, le dialogue, l'observation participative, documentaire et l'analyse statistique au moyen du logiciel SPSS. Les résultats issus de ces études ont révélé que les défis majeurs liés aux élèves dans l’intégration des TICS dans les écoles secondaires de milieu rurale du Territoire de Tshilenge sont notamment : contenu du cours sui n’est pas clair et compréhensible, les nombres d’heures ne sont pas suffisant, pas des manuels scolaires d’informatique, pas des séances pratiques devant l’ordinateur, trop des difficultés à comprendre le cours d’informatique, les résultats en informatique sont faibles, le rythme du cours est trop lent.
Pakistan stands at the defining moment in the demographic journey, with one of the largest youth populations in the world. Over 60 percent of its citizens are under the age of 30, presenting both a significant opportunity and daunting challenge.
This research field is a study that examines the negotiations surrounding the acquisition of a logistics warehouse by a growing pharmaceutical distribution company. This research field's study examines the negotiations surrounding the acquisition of a logistics warehouse by a growing pharmaceutical distribution company. The case study demonstrates how urgency, limitations, and aspirations can transform a confrontation into a dialogue. Even in an environment typically defined by uncertainty, such as a volatile real estate market, this article reveals the steps managers can take to transform competing interests into value creation, offering insights that extend far into the future.
This research project analyzes the negotiations of the conditions under which the supplier would grant the distributor exclusive distribu-tion rights for the importation of Korean aesthetic and dermatological products into Brazil and the United States. The case study illustrates the complexities of negotiating conditions in cross-border trade relationships, where exclusivity is a double-edged sword. The negotiation process involved a delicate balancing act between the supplier's need for assurance—achieved through conditions such as minimum re-quired purchase quantities, aggressive growth projections, and tight contractual stipulations—versus the distributor's requirement for financial protection and the feasibility of the products' success in target markets. The terms that emerged from the parties' compromise reflect a mutually beneficial outcome. Insights from the research project highlight the importance of preparation, emotional intelligence, and conflict resolution in establishing a solid foundation for building a successful international partnership.
The integration of clean and decentralised energy sources such as solar power into modern distribution networks presents a major challenge, particularly in ensuring that the reliability and safety consumers depend on are not compromised. This study addresses a critical issue: the introduction of distributed generation often leads to unpredictable and dangerously high fault currents, capable of overstressing or even damaging conventional protection devices like relays and circuit breakers. To tackle this challenge, we developed and evaluated an intelligent, adaptive protection scheme that combines two powerful technologies Artificial Intelligence (AI) for real-time relay coordination adjustments and Solid-State Fault Current Limiters (FCLs) for instantaneous suppression of fault surges. Using detailed modelling of a real 34-Bus distribution grid in Nigeria and simulations on standard IEEE 6-Bus and 9-Bus test systems, the research demonstrated that distributed generation can increase fault currents by more than 500% at critical locations. Our results show that the integrated FCL AI approach provides significant improvements: FCLs alone reduced harmful fault currents by 53% to 79%, while the AI component, powered by a Reinforcement Learning (RL) algorithm, delivered even greater system optimisation. Compared with earlier AI-based techniques such as Particle Swarm Optimisation, the RL method improved fault clearing time by 60%, reduced circuit breaker stress by 93%, and strengthened coordination margins across the network. The study ultimately offers a clear direction for policymakers and utilities: the era of rigid, preset protection settings must give way to adaptive, data-driven protection strategies. By embracing real-time analytics and intelligent control, the transition to a greener grid can enhance not endanger the stability and reliability of modern power systems Keywords: Distributed Generation (DG), Fault Current Limiter (FCL), Protection Coordination, Distribution Network Stability, Adaptive Protection Scheme
Radiation-based cooling and heating technologies are emerging as efficient, low-energy alternatives to conventional HVAC systems. Unlike convective systems that depend on air movement, radiant systems transfer thermal energy directly between surfaces and occupants via electromagnetic waves. This paper explores the principles of thermal radiation and its application in HVAC design, highlighting the performance, material considerations, and environmental advantages of radiant systems. It also compares radiant solutions with traditional air-based systems, discusses their integration with modern technologies, and evaluates case studies from various climates. The findings suggest that radiant systems offer superior thermal comfort, lower energy consumption, and improved integration potential with renewable energy sources, although challenges remain in implementation, especially in humid environments. Keywords—Radiant Cooling, Radiant Heating, HVAC, Energy Efficiency, Thermal Comfort, IEEE.
Coastal infrastructure in Kuwait is subjected to aggressive chloride-rich aerosols, high humidity, extreme temperature fluctuations, and industrial emissions from extensive petrochemical operations. These environmental factors synergistically accelerate electrochemical corrosion mechanisms in steel and reinforced concrete systems, leading to significant structural, economic, and environmental consequences. This paper presents a comprehensive corrosion assessment framework supported by quantitative modeling based on Fick's second law of diffusion, lifecycle cost analysis, and comparative performance evaluation of mitigation strategies. Advanced protection technologies—including cathodic protection systems, nano-based smart coatings, fiber-reinforced polymer (FRP) composites, and IoT-enabled monitoring—are critically evaluated to enhance long-term infrastructure durability and resilience. Field data from the Arabian Gulf region, including Kuwait-specific case studies, are integrated to contextualize the findings. The paper concludes with evidence-based strategic and policy recommendations for the development of a national corrosion management framework in Kuwait. Keywords — Coastal corrosion; chloride diffusion; cathodic protection; lifecycle cost analysis; marine infrastructure durability; corrosion rate modeling; smart nanocoatings; FRP composites; IoT monitoring; Kuwait; Arabian Gulf.
Prostate cancer, recognised as a chronic disease with a significant physical and psychosocial impact, raises profound questions about quality of life after diagnosis. This qualitative study explores the experiences of three men recently diagnosed with prostate cancer in order to understand how they are adapting to the changes brought about by the disease. Using semi-structured interviews, the data were analysed using a thematic approach. Three main themes emerged: the redefinition of masculine identity in the face of treatment, the management of emotions related to medical uncertainty, and the reconstruction of meaning in everyday life. Participants employed a variety of coping strategies, such as family support, communication with healthcare professionals, and spirituality. These results highlight the importance of comprehensive, personalised care in improving patients' quality of life after a diagnosis of prostate cancer.
At the end of this research, which focused on 'financial inclusion through mobile money in the Democratic Republic of Congo: the case of the city of Kinshasa,' the study specifically aimed to describe the sociodemographic profile of mobile money users in Kinshasa and identify the main barrier to the adoption of mobile money in the city. To achieve the objectives of this research, we used primary data obtained from a survey conducted with 509 people selected using a non-probabilistic sampling method. This data was supplemented by a review of theoretical and empirical literature. After analyzing the data, the following results were found:- The majority of surveyed subjects, 86.44%, use mobile money in the study area. Regarding the factors determining the adoption of mobile banking in the Tshangu district, the results of the probit model show that the adoption of mobile banking in this district is more influenced by moderating variables such as age, gender, level of education, occupation, banking exclusion, low transaction costs, network coverage, online purchasing via mobile money, security concerns, billing, loan payments, as well as satisfaction with the financial service system.
This research focuses on the contribution of Small and Medium Enterprises to the socioeconomic development of households in Kinshasa, specifically in the communes of Mont-Ngafula, Selembao, and Ngaliema. The overall objective of this dissertation is to evaluate and assess the contribution of Small and Medium Enterprises (SMEs) to the socioeconomic development of Kinshasa households, particularly those in the communes of Mont-Ngafula, Selembao, and Ngaliema. - At the end of our investigations, it was found that the majority of small-sized entities (SMEs) surveyed are run by women, with more than 70.3% of entrepreneurs being women, compared to 29.7% men, and most are in the age group of 25-35 years, followed by 36-45 years at 56.13% and 16.2% respectively. Additionally, the majority are single at 52.9%, followed by married at 29%. - Most of the subjects have higher and complete university education at 61.9%, followed by higher education level and incomplete higher education at 23.3%, and at the secondary level at 10%.
The object of this article is explore the unification of Quantum Mechanics (QM) and General Relativity (GR), proposing that both theories belong to the Lorentzian principle , share more common properties than differences and can be studied within a unified framework. We analyze the matrix mechanics related to geometry of both theories to emphasize the need for a new framework that can handle the challenges posed by the inherent difficulties of these theories. Fundamentally, the current definitions of the stress tensor, the curvature tensor in general relativity, and the concept of a quantum system in quantum mechanics are all poorly defined or not defined at all in the true 4D unitary xt space, making their fusion practically impossible. Therefore, any serious attempt aiming to reconstruct the foundations of a new theory unifying quantum mechanics and general relativity should be based on the appropriate definition of stress strain tensors implying the following revolutionary equation, Stress tensor x space time curvature tensor = I . . . . . (1)Equation 1 is a universal law of physics which is implied by the nature and is able to solve all classical and quantum physics problems in addition to pure mathematics and statistics. Furthermore, equation 1 preserves the arrow of time, a necessary requirement implied by nature entropy in the second law of thermodynamics. At the extreme, we would say that equation 1 is the only acceptable law in mathematics and physics. In the sense that any mathematicalor physical law or rule compatible with equation 1 should beaccepted, otherwise it will be refuted. That is the reason, we use equation 1 to generate Einstein general relativity in one sentence and alternatively we use the same equation1 to generate the Schrodinger solution of H-atom again in one sentence and consider these two procedures as a unification of general relativity and quantum mechanics. These striking facts are the subject of this article. Notice that A.Einstein and E.Schrodinger failed to define time properly and considered it as an external scalar controller which acts independently to the geometrical xyz axix in D^4 space. Which implies that Both Einstein theory of gravity or general relativity and classical Schrodinger PDE do not agree with equation1and should be refuted. Finally, it should be clarified that this article is not intended to minimize the major contributions of great physicists and mathematicians of their time such as Einstein, Schrödinger,Heisenberg, Minkowski, Hilbert, and Riemann, among others, but rather to address the main slips and limitations of their theories, where applicable.
In the highly competitive women’s apparel retail industry, accurate forecasting of sales and customer foot traffic is crucial for operational effi-ciency, inventory management, and revenue optimization. Traditional statistical and time-series forecasting methods often fail to capture complex patterns arising from seasonal trends, promotional activities, short product lifecycles, and external factors such as weather and holi-days. This study proposes the development of predictive machine learning (ML) models to enhance sales and foot traffic optimization in wom-en’s apparel retail stores. The research integrates historical sales transactions, foot traffic data, product attributes, promotional campaigns, and contextual variables into a comprehensive dataset. Predictive models will be implemented based on chosen for their capacity to handle nonlinear relationships and short-lifecycle products. Model performance will be evaluated using metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R², alongside comparative analysis against traditional forecasting methods. The study is expected to provide actionable insights for staffing, inventory replenishment, and marketing strategies, addressing challenges such as new SKU forecasting and fluctuating consumer demand. The findings aim to advance retail analytics in emerging markets and contribute to operational decision-making in apparel retail.
Le pays de la République Démocratique du Congo (RDC) est riche en diversité, que ce soit sur le plan culturel, linguistique ou historique. Avec près de 100 millions d'habitants, ce pays est le deuxième plus vaste du continent africain. Cependant, malgré sa richesse en ressources naturelles, le pays est confronté à une multitude de problèmes socio-économiques, notamment en matière d'éducation. Encourager des méthodes novatrices : Étudier les actions et projets visant à rehausser la qualité de l'enseignement, y compris l'emploi des technologies pédagogiques, l'éducation pour tous et les approches d'apprentissage non conventionnelles. Cet apprentissage représente le pont entre l'éducation fondamentale (primaire), d’amener l’élève à s’approprier des savoirs et à développer des compétences qui le rendent apte à apprendre toute sa vie. Il accompagne le jeune dans sa formation et dans le choix des différentes possibilités d’études et d’emplois afin de favoriser son insertion sociale et sa participation citoyenne, de l'équiper pour l'exercice d'une profession ou d'un métier, ou encore de le préparer pour des études supérieures ou universitaires. Dans de nombreux domaines, les technologies de l'information et de la communication (TIC) ont prouvé leur efficacité en tant qu'outils de travail puissants. Elles participent à l'amélioration des performances des éducateurs et des superviseurs pédagogiques dans le secteur de l'éducation et de la formation. Mais cela ne se fait pas sans défis. Effectivement, ces derniers font face à des défis pour tirer le meilleur parti des outils informatiques dans le développement des compétences des enseignants qu'ils supervisent au niveau post-primaire et secondaire. Pleinement conscient de l'impact des technologies de l'information et de la communication sur la réforme des systèmes éducatifs, notre objectif est d'examiner les obstacles qui entravent leur incorporation dans la formation continue des enseignants dispensée par les inspecteurs de l'enseignement secondaire. Selon l'article 9 de la loi-cadre n° 14/004 du 11 février 2014 sur l'enseignement national, l'informatique, qui est un élément essentiel des technologies de l'information et de la communication, est considérée comme une option clé de l'enseignement national. Mot Clés : Problèmes, perspectives, l’enseignement, cours de tic, écoles secondaires
The rapid integration of digital technology in music education necessitates the development of competencies in digital music notation among pre-service educators. This study assessed the digital music notation competence of 118 Bachelor of Culture and Arts Education (BCAED) students at Ilocos Sur Polytechnic State College (ISPSC) Main Campus to inform the design of a structured training program for School Year 2025–2026. Anchored in the Technological Pedagogical Content Knowledge (TPACK) framework, the research employed a descriptive-quantitative design, combining structured questionnaires and practical skills assessments to evaluate students’ content knowledge (CK), technological knowledge (TK), and integrated TPACK competence. Data analysis included descriptive statistics, t-tests, ANOVA, Pearson correlation, and qualitative interpretation of challenges and training needs. Findings revealed that students demonstrated high competence in technological and integrated TPACK domains (grand mean = 3.81–3.82), while content knowledge remained at a moderate level (grand mean = 3.28), indicating a need for reinforcement of music theory concepts. Major challenges included limited prior exposure, difficulty navigating software features, and unequal access to technological resources. Significant positive correlations among CK, TK, and TPACK (r = 0.62–0.78, p < 0.05) suggested that strengthening one domain supports overall competence. Based on these results, a tiered structured training program was proposed, emphasizing foundational music theory, software navigation, guided practice, and pedagogical integration. The program incorporated hands-on activities, collaborative projects, and reflective exercises to enhance digital notation skills and pedagogical application. This study provides empirical evidence for curriculum development and highlights the importance of integrating digital literacy and technological proficiency in preparing future music educators. Keywords: digital music notation, TPACK, BCAED students, technological competence, music education training
The geographic landscape and their lived experiences of the residents in Barangay Natumolan, Tagoloan, Misamis Oriental, Northern Mindanao, Philippines was phenomenologically, ethnographically and anecdotally recorded in relation to their terrain-driven progress, growth and development and zoning configuration. The results revealed that industrial, commercial, business, agricultural and residential areas were ranked inclusively for employment, terrain-responsive from highest to the lowest priority in planning and community-centered for progress, growth and development.
Community Health Information Systems (CHIS) play a crucial role in enhancing health service delivery, disease surveillance, and healthcare planning at the community level. In Botswana, despite strides in digital health, the implementation of CHIS is hindered by policy, socio-technical, and infrastructural barriers. Methodology: A qualitative desk-based review was conducted, guided by the World Health Organisation’s Health System Building Blocks framework. Empirical literature, government policy documents, and international reports were synthesised and thematically analysed to assess gaps between the current and desired state of CHIS in Botswana. Findings: The analysis revealed fragmentation of health information systems, limited infrastructure, workforce capacity gaps, and weak client-centred approaches. Cultural and environmental challenges, such as rural isolation, linguistic diversity, and local health-seeking behaviours, were also found to significantly influence CHIS adoption. Conclusion: To strengthen CHIS in Botswana, the study recommends an integrated policy approach, investment in workforce capacity for digital health, and the development of culturally sensitive digital content. The insights contribute to a better understanding of CHIS within Botswana’s unique context and offer lessons applicable across similar low- and middle-income countries (LMICs).
HIV/AIDS remains a major public health threat in the country with a prevalence of (15%) among the adult population (Ministry of Health and Child Care-Zimbabwe, 2013). The purpose of this study was to determine the relationship between knowledge level on HIV/AIDS of people (aged 15-50 years) living with HIV/AIDS and their self-care practices. The study used descriptive correlational design. Convenience sampling method was used to select 80 participants with an age range (10-50) years. Orem’s conceptual model was used to guide the study. Data was collected using a structured interview schedule questionnaire with 3 components addressing demographic data, knowledge level as well as the self-care practices on people living with HIV/AIDS. Data was analysed using inferential statistics by statistical package for social sciences (SPSS). Pearson’s correlation coefficient and regression analysis were used to correlate knowledge level and self-care practices on HIV/AIDS. The study results showed that the majority knew the definition of HIV 40 (50%) and its effect in the human body 44 (55%). Despite being literate, most of the participants did not know the mode of HIV transmission. Most of the participants were not using herbs 77 (96.25%) and were keeping to their follow up dates 75 (93.75%). The majority of participants were not participating in support groups 57 (71.25%) and did not know that having sex with multiple sexual partners is a risk factor to HIV transmission 39 (48.75%). All participants did not know having sexually transmitted diseases is a risk factor to HIV. A bigger number of participants were using condoms with their partners 31 (38.75%). All participants had disclosed their HIV status. The findings reflect that most people living with HIV/AIDS have either or inaccurate information, myths and misconceptions regarding their statuses. Continuous workshops on HIV/AIDS need to be therefore conducted for doctors and nurses to enable them disseminate correct information to people living with HIV/AIDS and encourage them to adopt good self-care practices.
_x000D_ This study investigated organizational culture and work performance in Rivers state, Nigeria. The study adopted the survey research design, in which five oil and gas companies were studied. The population of the study was 191, and the sample size was calculated to be 129 using the Slovin formula. The sample selection was the stratified sampling method. A structured questionnaire and oral interview guide were the research instruments used for the study. Out of 129 respondents, 116 (90%) were returned, 13 (10%) respondents were not returned. Data collected were presented using selected descriptive statistics in respect of the dependent and independent variables. Both qualitative and quantitative methods of data analyses were employed in analysing the data generated through the questionnaire. Ordinal regression, Pearson Product Moment Correlation Coefficient and Simple regression analysis were used to test the hypotheses. The major findings of the study were: that innovation had significant effect on teamwork commitment in the oil and gas sector in Rivers state (r = 0.876; t = 8.326; F = 11.689; 2LL = 1.522; p = 0.001< 0.05). Competitiveness positively affected inter-organizational knowledge transfer as reported in the probability value (r = 0.885; p = 0.001 < 0.05). Productivity had a significant positive relationship with employee attitude in the oil and gas sector in Rivers state (r = 0.894; t = 8.331, F = 11.846; p = 0.001 < 0.05). The study concluded that that effective and efficient application of organizational culture and performance will not only contribute to innovation, competitveness,but it will also help to actualize the increased productivity in the oil and gas sector in Rivers state, Nigeria. Based on the findings, the study recommended that the organization should maintain appropriate organizational culture and committed teamwork among the employees in order to foster organizational performance, each of the oil and gas company should exhibit competitiveness to deliver their goods and services with high quality products at reasonable prices in order to maintain their market shares, the oil and gas sector should focus on improved and increase productivity in a refined work environment with available human and material resources so as to maintain organizational growth and development in the oil and gas sector in Rivers State, Nigeria.
The condition of the drill bits has a tremendous effect on the efficiency of drilling, the cost of constructing the wells and the non-productive time. In spite of this sensitivity, choices on bit replacement in modern drilling activities are still largely discretionary, based on experience of drillers and conservative replacement strategies instead of quantitative performance indicators. The current research provides a machine learning model for objective bit wear classification based solely on the use of drilling parameters such as rate of penetration (ROP), torque, and weight on bit (WOB), without the need for post-drilling dull grading or downhole analysis.The synthetic dataset, which had a calibration of realistic drilling conditions, was created of 10, 000 samples with five bit runs (5, 000-8, 000 ft of depth) and three conditions of wear, namely Good, Moderate Wear and Severe Wear. They were 9 engineered characteristics such as ROP percentage change, torque percentage increase, WOB efficiency ratio, and mechanical specific energy (MSE). Decision Tree and random forest are two supervised learning classification algorithms that were trained systematically with stratified 75-25 train-test splits with standardized feature scaling. The random forest classifier was the best performer, with the highest percentage of 95.76 according to which it discriminated in all wear conditions. The most discriminative attributes as determined by feature importance analysis included ROP percentage change, MSE and percentage increase in torque. Evaluation of performance using the confusion matrix demonstrated an almost perfect classification of severe wear (important to avoid disastrous failures), moderate wear had slight misclassification, mostly towards the good condition which is a conservative error in favour of equipment durability. The Decision Tree model had 94.12 percent accuracy with increased benefits of interpretation interpretability to be applied in operations. This study confirms the practicability of automated, data enabled bit replace decision support systems, which allow operators to maximise the lifespan of bits without taking the risk of excessive wear or incurring more sleep costs than is necessary. Keywords: Bit Wear Classification, Machine Learning, Decision Tree, Random Forest, Drilling Optimisation, Surface Parameters, ROP Decline, Mechanical Specific Energy, Bit Replacement
The availability and accessibility of drinkingwater are an increasing concern in the Democratic Republic of Congo, as throughout the world. This study aims to analyze the bacteriological parameters of surface waters from the sable port of the Kwilu river in the city of Bandundu in the Democratic Republic of Congo. We collected nine (9) samples during the dry season. The bacteriological analyses were carried out at the laboratory of the Kwilu provincial water and Sanitation Authority (REPROSEAK) in Bandundu. We counted the colonies of total coliforms, fecal coliforms and E. coli. The averages of the measured bacteriological parameters do not meet the standards set by the World Health Organization. Given these results, the surface waters of the sable port present a worrying bacteriological quality, marked by contamination, an indicator of pathogenic health risks.
No papers found matching your search. Try a different keyword.
Published papers are indexed in
Submissions Open
See Your Research in the Next Edition
Join thousands of researchers published in GSJ. Submit your manuscript — peer review in 1–3 days, open access publication, EOI assignment, and global indexing across 150+ countries.
