Jean Carlos Mota Silva, José Guilherme Santos da Silva |
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| Vibration Analysis of Tall Buildings: AnInvestigation into the Effects of Geometric Nonlinearity and Aerodynamic Damping | ||||||
This study evaluates the dynamic structural behaviour and human comfort levels of tall buildings under wind loads, incorporating the effects of geometric nonlinearity and aerodynamic damping. A case study is conducted on a 48-storey steel-concrete composite building with a height of 172.8 m, subjected to nondeterministic wind-induced dynamic forces. The building's finite element model was developed using the Finite Element Method (FEM) via the Ansys software, taking into account soil-structure interaction to achieve a realistic representation of its dynamic behaviour. The structural response was assessed based on displacement and acceleration results, with wind velocities ranging from 5 m/s [18 km/h] to 45 m/s [162 km/h]. The conclusions.............
Dynamic structural behaviour, tall buildings, steel-concrete composite buildings, geometric nonlinearity, aerodynamic damping, human comfort assessment.
[1]. Silva, J.C.M. Study of nondeterministic dynamic structural behaviour and assessment of human comfort in tall buildings. 2025. PhD thesis. Civil Engineering Postgraduate Programme, State University of Rio de Janeiro, Rio de Janeiro/RJ, Brazil; 2024. (In development).
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Swathilakshmi V, Tannishtha P P, Nithya S, Abitha S, Ramachandiran R |
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| Nutriscan: Nutritional Analyst and Personalized Health Companion | ||||||
NutriScan is an AI-powered mobile app designed to scan food labels and barcodes to provide comprehensive nutritional information. The app uses advanced machine learning algorithms to provide personalized dietary recommendations, health analytics, and real-time user feedback via a rating and review system. The aim is to make users aware of nutritional content and encourage healthier eating habits.[1] The study examines how NutriScan integrates multiple features such as food intake tracking, detailed nutritional breakdown and user sentiment analysis into one user-friendly platform. Existing applications often fail to propose overall approach to food management. NutriScan uses artificial intelligence to analyse foods and fill this gap to provide individual recommendations in accordance with user preferences, health goals, and consumer history.............
AI-powered mobile app, Nutritional information, Dietary recommendations, Food intake tracking, Barcode scanning, Personalized insights.
[1]. Healthy nutrition smartphone app with personalized recommendations Alexandra Fanca; Adela Pop; Arina Badistru; Dan Ioan Gota; Honoriu Valean [2]. Food Tracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks Jianing Sun; Zeljko Zilic [3]. Food identification by barcode scanning in the Netherlands: a quality assessment of labelled food product databases underlying popular nutrition applications Pieter van 't Veer Marcus Maringer Nancy Wisse-Voorwinden [4]. Development Of Food Tracking System Using Machine Learning J J Jijesh; J J Jinesh; Dileep Reddy Bolla; P V Sruthi; M. R. Dileep; Dr. Keshavamurthy [5]. A Systematic Literature Review of Food Recommender Systems Pratibha Mahajan Pankaj Deep Kaur
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Otuaro Ebierin Akpoebidimiyen, Igoma, Emughiphel Nelson |
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| Assessment of Borehole Water Quality in Nigeria Maritime University, Kurutie – Takeoff Campus and Environment | ||||||
The assessment of borehole water quality in NMU: Kurutie – Takeoff Campus and environment has been done. The water quality assessment, which is a compelling constituent of the grantee of the health and wellbeing of both students and staff of the university, has been appraised. The physicochemical analysis of the samples A and B are pH of 8.1: 7.0; DO of 3.5mg/L:2.9mg/L; BOD5 of 2.2mg/L:1.8mg/L; conductivity of 416 μs/cm: 340μs/cm; TDS of 207mg/L: 170mg/L; nitrate of 0.3mg/L:23mg/L; turbidity of 2. 0NTU:12NTU and hardness of 202.2mg/L: 121mg/L respectively.............
Assessment, Quality, Water, Borehole, NMU, Environment.
[1]. Angulo, J., Roda, F., and De-Polli, H.(1997). Groundwater Nitrate Distribution and Soil Nitrogen – Cycling in the Riparian Zone of an Agriculturally Intense Mediterranean Catchment. Water, Air and Pollution, Vol. 99, No. 3-4, pp.325-337.
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Deng Huilin, Chang Wei, Zhou Congping |
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| A Study on the Second Language Learning Anxiety of English Major Students at Panzhihua University | ||||||
This study focuses on the second foreign language (Japanese) learning anxiety of 46 third-year
undergraduate students majoring in English at Panzhihua University. Given the significant impact of anxiety on
second language learning outcomes, this research aims to investigate the current status and causes of students'
anxiety through questionnaires and semi-structured interviews, and to propose teaching strategies. Data were
analyzed using SPSS statistics. The results indicate that the students generally experience a certain degree of
anxiety in learning their second foreign language. Specifically, among the three dimensions of anxiety—
communication anxiety, course anxiety, and examination anxiety—communication anxiety is the most prominent.
Moreover, female students exhibit higher mean anxiety levels across all dimensions.............
English major, Second language learning, Learning anxiety, Panzhihua University
[1]. Li Jing, Foreign Language Learning Anxiety and Foreign Language Teaching. *Inner Mongolia Radio & TV University Journal*,
2007(5): pp. 92-93.
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Dr Amar Kumar Dey, Mrs Ekta Tamrakar, Dinkey Banchhor, Dimple Gayakwad, Shweta Tiwari |
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| Solar power monitoring system using IOT | ||||||
The non-renewable power resources are dwindling, the usage of renewable resources for generating energy is developing. Nowadays sun power is an outstanding option for utilizing natural belongings and we can also say that solar panel gathers sun power, and then converts that power into electric strength and stores it in a battery this power we will use on every occasion we wished. Proper here the usage of tracking, which offers easy facts about numerous solar parameters, fault detection, and related energy loss. And we design to monitor the performance of a solar system in real-time..............
IOT; ESP32; LM35;solar panel
[1]. Tran Thanh TRANG , Le Thanh TOI , Tran Huu KHOA . Design Of A Real-Time Solar Power Monitoring And Controlling System Using Internet Of Things. VOLUME: 22 | NUMBER: 2 | 2024 |
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Ajayi Abisoye, Joshua Idowu Akerele, Princess Eloho Odio, Anuoluwapo Collins, Gideon Opeyemi Babatunde, Sikirat Damilola Mustapha |
||||||
| A Data-Driven Approach to Strengthening Cybersecurity Policies in Government Agencies: Best Practices and Case Studies | ||||||
In today's increasingly digitized world, government agencies face a growing number of cybersecurity threats that jeopardize critical infrastructure, sensitive information, and public trust. This paper presents a comprehensive, data-driven approach to strengthening cybersecurity policies in government agencies, incorporating advanced analytics, artificial intelligence (AI), and machine learning (ML) techniques. Through the analysis of real-world case studies and best practices, the research explores how data-driven insights can be leveraged to proactively identify vulnerabilities, detect threats, and optimize policy implementation. The proposed framework integrates predictive analytics to assess risk patterns and develop actionable strategies tailored to the unique needs of government institutions..............
Cybersecurity, Government Agencies, Data-Driven Approach, Predictive Analytics, Artificial Intelligence, Machine Learning, Zero-Trust Architecture, Cybersecurity Policies, Threat Detection, NIST Cybersecurity Framework.
[1]. Adebayo, V. I., Paul, P. O., & Eyo-Udo, N. L. (2024). The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management. GSC Advanced Research and Reviews, 20(1), 088-097. [4]. Adepoju, A. H., Austin-Gabriel, B., Eweje, A., & Collins, A., 2022. Framework for Automating Multi-Team Workflows to Maximize Operational Efficiency and Minimize Redundant Data Handling. IRE Journals, 5(9). [5]. Adepoju, A. H., Austin-Gabriel, B., Hamza, O., & Collins, A., 2022. Advancing Monitoring and Alert Systems: A Proactive Approach to Improving Reliability in Complex Data Ecosystems. IRE Journals, 5(11).
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Nwabineli Emmanuel Onochie |
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| Investigation for ground water Potentials Ataplot in Ifiteawka, Awkasouth local government area, Anambra state, Nigeria | ||||||
ThegeophysicalinvestigationreportistheresultoffieldelectromagneticsurveyusingADMT300sforthesinkingofasuccessfulboreholeataplotin,IfiteAwka,AwkaSouthLocalGovernmentArea,AnambraState.Pre–drillinggeophysical surveyshappenstobeascientificmethodofdeterminingtheexistenceofgroundwater.This therefore, necessitatedthecommissioningofconsultinghydro...........
Groundwater, Hydro geologist, Geophysical survey, Subsurface, River basin
[1]. Barlow, P. M., &Leake, S. A. (2012). Groundwater resources and their management in the United States. Environmental Earth Sciences, 66(3), 847-857. https://doi.org/10.1007/s12665-011-1526-1 [2]. Bear, J. (2018). Hydraulics of groundwater. Dover Publications. [3]. Carrillo-Rivera, J. J., & Peralta, M. G. (2010). Hydrogeological investigations in semi-arid regions. Hydrogeology Journal, 18(5), 1181-1194. https://doi.org/10.1007/s10040-010-0616-z [4]. Domenico, P. A., & Schwartz, F. W. (1998). Physical and chemical hydrogeology (2nd ed.). John Wiley & Sons. [5]. Fetter, C. W. (2017). Applied hydrogeology (5th ed.). Pearson
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Anthony Ogunjimi |
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| A Fuzzy TOPSIS approach for Ytterbium Supplier Selection | ||||||
This article presents a fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach
to evaluating and selecting suppliers based on multiple decision criteria. The proposed method utilizes a
fuzzified weighted normalized decision matrix to describe suppliers' performance in the form of triangular fuzzy
numbers (TFNs). The fuzzy TOPSIS method enables the determination of ideal and anti-ideal supplier
scenarios, creating a benchmark...........
Fuzzy TOPSIS, supplier selection, multiple criteria decision-making, triangular fuzzy numbers, cumulative
distances, closeness coefficients Ytterbium suppliers.
[1]. Ashkan Memari, Ahmad Dargi, Mohammad Reza Akbari Jakar, Robiah Ahmad, Abd. Rahman Abdul Rahim (2019). "Sustainable Supplier Selection: A multi-criteria intuitionistic Fuzzy-TOPSIS Method." Journal of Manufacturing Systems Volume 50, Issue 1; pp 9-24 [2]. Biswas, S., (2020). Measuring performance of healthcare supply chains in India: A comparative analysis of multi-criteria decision- making methods. Decision Making: Applications in Management and Engineering. 3(2): p. 162-189. [3]. Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy TOPSIS approach for supplier selection. International Journal of Production Research, 44(11), 2325-2340. [4]. Chen, C.T. (2000). "Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment." Fuzzy Sets and Systems, 114(1), 1-9. [5]. Li, D. F., Wang, Y. C., & Liu, S. (2012). Fuzzy TOPSIS method for logistics service provider selection. Journal of Intelligent and Fuzzy Systems, 23(2-3), 151-162.
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Anthony Ogunjimi |
||||||
| On the Ytterbium Suppliers Selection process: fuzzified weighted average based on left and right scores | ||||||
The selection of reliable ytterbium suppliers is crucial for ensuring the quality and efficiency of quantum
computing applications. This study proposes a novel approach for evaluating and selecting ytterbium suppliers
using a fuzzified weighted average based on left and right scores. The proposed method integrates fuzzy logic
and weighted average techniques to handle the uncertainty and imprecision associated with supplier evaluation
criteria. The left and right scores are used to represent the lower and upper bounds of the fuzzy numbers,
respectively. The results show that the...........
Ytterbium suppliers, supplier selection, fuzzified weighted average, left and right scores, fuzzy logic, quantum
computing.
[1]. Angara, P. P. Stege U. Maclean A, Muller H. A and Markham T (2021). Teaching quantum computing to high school aged youth. A hands-on approach. IEEE transactions on quantum Engineering 3. 1-15 [2]. Ayşegül, T. and E.A. ADALI, (2022). Green supplier selection based on the combination of fuzzy SWARA (SWARA-F) and fuzzy MARCOS (MARCOS-F) methods. Gazi University Journal of Science. 35(4): p. 1535-1554. [3]. Badi, I. and D. Pamucar, (2020). Supplier selection for steelmaking company by using combined Grey-MARCOS methods. Decision Making: Applications in Management and Engineering. 3(2): p. 37-48. [4]. Mokhtarian M.N, (2011): A new fuzzy weighted average (FWA) method based on left and right scores: An application for determining a suitable location for a gas oil station; Computers and Mathematics with Applications 61: 3136–3145. [5]. Nop. Gavin N., DurgaPaudyal and Jonathan DH Smith. (2021). Ytterbium ion trap quantum computing: the current state of the art. AVS Quantum science 3(4).
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Dr. Suchitra Pandey, Taru Yadav, Vaibhav Tembhurkar, Vidit Gadge |
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| GPS Based Toll Collection System | ||||||
A GPS-based toll collection system represents a modern approach to managing highway tolls through
the use of satellite-based navigation technology. Unlike traditional toll systems that rely on physical toll booths
and manual payment methods, GPS-based toll systems utilize the Global Positioning System (GPS) to track
vehicles in real-time and automatically calculate toll charges based on the vehicle's location and movement. This
system enhances both efficiency and user experience, as it eliminates the need for stopping at toll booths and
reduces congestion on roads...........
xxxx
[1]. Zhao, X., & Zhao, Y. (2017). Study on the development and application of GPS-based toll collection system. Proceedings of the 2nd International Conference on Information Science and Control Engineering. [2]. Doucette, M., & Thompson, D. (2013). Global positioning system-based tolling: The future of transportation infrastructure. Journal of Transportation Engineering, 139(5), 433-440. [3]. Chien, S., Ding, Y., Wei, C., & Wei, C. (2011). Evaluation of GPS-based toll collection systems and their impact on transportation infrastructure. Journal of Intelligent Transportation Systems, 15(4), 194-204. [4]. Hassan, M., & Mishra, D. (2020). Adoption of GPS-based tolling for efficient toll collection: A case study and future trends. Transportation Research Procedia, 48, 513-520.
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Souhini Saha , Debrupa Pal |
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| Internet of Things in Industry: Research Profiling, Applications, Challenges, and Opportunities—A Comprehensive Review | ||||||
The fourth industrial revolution, transforming the industrial sector, is driven by the growing
digitization and interconnection of goods, products, value chains, and business models. Industry 4.0 is founded
on the global integration of people, devices, and machines. By linking devices and sensors to the internet, we
are ushering in a new era of data analysis, connectivity, and automation. This shift opens up unprecedented
opportunities for innovation and progress, previously unattainable on such a scale. The concept of the Internet
of Things (IoT) has gained traction alongside the vision of a world equipped with intelligent inputs and outputs
capable of communicating through internet-based data and technologies. IoT is being applied across various
sectors of the modern economy,............
dynamic structural behaviour, tall buildings, steel-concrete composite buildings, geometric
nonlinearity, aerodynamic damping, human comfort assessment..
[1]. Fan, Y.V.; Pintariˇc, Z.N.; Klemeš, J.J. Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability. Energies 2020, 13, 4062. [2]. Zheng, T.; Ardolino, M.; Bacchetti, A.; Perona, M. The applications of Industry 4.0 technologies in manufacturing context: A systematic literature review. Int. J. Prod. Res. 2021, 59, 1922–1954. [3]. Lasi, H.; Fettke, P.; Kemper, H.-G.; Feld, T.; Hoffmann, M. Industry 4.0. Bus. Inf. Syst. Eng. 2014, 6, 239–242 [4]. Yikilmaz, ̇I. New era: The transformation from the information society to super smart society (society 5.0). In Data, Information and Knowledge Management; Nobel Bilimsel Eserler: Ankara, Turkey, 2020; pp. 85–112. [5]. Wichmann, R.; Eisenbart, B.; Gericke, K. The Direction of Industry: A Literature Review on Industry 4.0; Cambridge University Press: Cambridge, UK, 2019; Volume 1, pp. 2129–2138..
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Lotfie A. Yousif, Shaker B. Ahmed |
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| Tractors and implements required for crops cultivation in the Gezira scheme, Sudan | ||||||
Efficient agricultural production depends on optimal machinery availability and management. Estimating the required number of tractors and implements for farm tasks is complex process, especially in large areas like Gezira Scheme, Sudan, where cotton, groundnut, sorghum (summer crops), and wheat (winter crop) are cultivated in a five-course rotation. This study estimated tractors and implements need for land preparation and seeding under two operational scenarios: discrete and overlap operations. The estimation ensured that all crops were sown within their optimal sowing dates.............
Agricultural machinery, operations management, Gezira Scheme, Sudan
[1]. Haque, M. A., Bobboi, U., and Arku, A. Y. (2003). A comparative analysis of tractor uses in Borno State of Nigeria. Arid zone Journal of Engineering, Technology and Environment, 3:22-26.
|
Harendra Kumar, Ajay Kumar Mishra |
||||||
| Synthesis of Eggshell-Lipase Immobilized Catalyst for Production of Biodiesel | ||||||
This research work deals with the immobilization of commercial lipase on Eggshell powder to form a heterogeneous renewable catalyst for biodiesel production by utilising waste cooking oil. This will cause to reduce the cost and increase the yield of biodiesel production, it will also increase the thermal stability of the lipase, which will enhance the yield of biodiesel production. The specific activities of lipase were increased to 40 u. The parameters for the synthesis of ELC (Eggshell- Lipase catalyst) were optimised to achieve high activity of ELC, which leads to increase the thermal stability of lipase, which will enhance the rate of production of biodiesel. The lipase immobilised with eggshell, was stable at 48 – 50°C for a prolonged time, which led to increased yield of biodiesel production from 22 % to ~ 92 %.
Lipase, Eggshell, Immobilization, Transesterification, Biodiesel.
[1]. N. Le-Phuc, T.V. Tran, P. T., Ngo, Q. L. Ha, T. N. Luong, and T.T. Phan. High-efficiency Production of biofuels using spent fluid catalytic cracking (FCC) Catalysts and high acid value waste cooking oils. Renewable Energy, 2021; (168):57- 63. Doi.org/10.1016/j.renene.2020.12.050.
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Solomon Emeke ODUMOSO, Diepiriye C. Okujagu |
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| Exploring the Role of Geochemistry in Tracing Hydrocarbon Origins, Migration Paths, and the Applications of Biomarker Studies in Petroleum Exploration | ||||||
In an era of escalating global energy demands and increasingly complex hydrocarbon exploration, geochemical methods have emerged as critical tools for deciphering petroleum systems, enabling efficient resource discovery and sustainable management. This review synthesizes contemporary geochemical methodologies—focusing on biomarkers and isotopic analysis—to elucidate hydrocarbon origins, migration pathways, and their industrial applications, addressing both conventional and unconventional reservoirs. Through a systematic evaluation of advancements in molecular and isotopic geochemistry, including techniques such as gas chromatography × gas chromatography (GC×GC), high-resolution mass spectrometry (HRMS), and compound-specific............
Biomarkers, Isotopic Analysis, Hydrocarbon Migration, Source Rock Correlation, Petroleum Systems, Sustainable Exploration
[1]. Abdel-Fattah, M. I., Reda, M., Fathy, M., Saadawi, D. A., Alshehri, F., & Ahmed, M. S. (2024). Oil-source correlation and Paleozoic source rock analysis in the Siwa Basin, Western Desert: Insights from well-logs, Rock-Eval pyrolysis, and biomarker data. Energy Geoscience, 5(3), 100298.
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Mr. R. Yogiswara Raju, Mr. S. Sivasankar Reddy, Mr. S. Akib Basha, Mr. B. Venkateswara Reddy, Mr. O. Chandra Subhaskar Reddy, Dr.K.Mallikarjuna |
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| Lighting The Lamp With Waste Rotational Energy-A Case Study On Ceiling Fan | ||||||
The mutual induction concept serves as the foundation for this method. To generate energy, we employed a power producing assembly that is mounted on the fan rod. The electromagnetic induction principle of Faraday's law governs how the electricity generating fan operates. The magnets that are positioned around the Cu winding in order to generating power with assembly rotate when the fan is operating. We generated electricity from fan while it was operating with the aid of the power producing assembly. We can generate electricity more effectively and efficiently by employing this assembly.
Back EMF, ceiling fan, permanent-magnet.
[1] ^"What is a Strong Magnet?" The Magnetic MattersBlog. AdamsMagnetic Products. October 5, 2012. Retrieved October 12, 2012.
|
I Ketut Wiryajati, I Made Mara |
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| Predictive Multiple Regression Model for Analyzing the Impact of Gear Ratios on Electric Vehicle Performance: A Case Study of a Prototype Electric Vehicle from the Faculty of Engineering, University of Mataram | ||||||
This study aims to develop a predictive multiple regression model to analyze the impact of gear ratios on electric vehicle performance, focusing on a case study of a prototype developed by the Faculty of Engineering, University of Mataram. The research evaluates the influence of the main gear ratios (i_1, i_2, and i_total) on output speed (n_4) and energy efficiency. Through experiments conducted on the electric vehicle prototype, it was found that gear ratios i_2 and i_total have a significant effect on reducing output speed and increasing energy efficiency. The resulting regression model provides accurate predictions of how changes in gear ratios affect vehicle performance............
Electric vehicles, Gear ratio, Multiple regression, Energy efficiency, Prototype
[1]. Ahmed, M., Mao, Z., Zheng, Y., Chen, T., & Chen, Z. (2022). Electric Vehicle Range Estimation Using Regression Techniques. In World Electric Vehicle Journal (Vol. 13, Issue 6). https://doi.org/10.3390/wevj13060105
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Engr. Dr. Ekeinde Evelyn Bose |
||||||
| Using Advanced Materials and Techniques to Repair and Maintain Aging Wellbore | ||||||
For more than 100 years, engineers and scientists have worked to improve and leverage groundbreaking new materials in the construction of wells. Innovations in material properties, analytical evaluation, and deployment techniques have yielded high-quality wells able to survive effectively through well lifetimes. With improvements in data acquisition and analysis, this review examines how operators and engineers address the critical question: "How well do we really know our wells particularly when planning maintenance, repair, or well abandonment. This review analyzes the performance risks associated with improper repair, maintenance, and life-planning of wells, including considerations of time, safety, environmental impact, and cost factors comparable to initial construction expenses.............
wellbore integrity, advanced materials, composite repair, monitoring, self-healing, corrosion, aging wellbore.
[1]. Abdideh, M. & Mafakher, A. (2021)Wellbore stability analysis in oil and gas drilling by mechanical, chemical and thermal coupling (case study in the South of Iran). Geotechnical and Geological Engineering.
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Ajayi Abisoye, Joshua Idowu Akerele, Princess Eloho Odio, Anuoluwapo Collins, Gideon Opeyemi Babatunde, Sikirat Damilola Mustapha |
||||||
| A Data-Driven Approach to Strengthening Cybersecurity Policies in Government Agencies: Best Practices and Case Studies | ||||||
In today's increasingly digitized world, government agencies face a growing number of cybersecurity threats that jeopardize critical infrastructure, sensitive information, and public trust. This paper presents a comprehensive, data-driven approach to strengthening cybersecurity policies in government agencies, incorporating advanced analytics, artificial intelligence (AI), and machine learning (ML) techniques. Through the analysis of real-world case studies and best practices, the research explores how data-driven insights can be leveraged to proactively identify vulnerabilities, detect threats, and optimize policy implementation. The proposed framework integrates predictive analytics to assess risk patterns and develop actionable strategies tailored to the unique needs of government institutions............
Cybersecurity, Government Agencies, Data-Driven Approach, Predictive Analytics, Artificial Intelligence, Machine Learning, Zero-Trust Architecture, Cybersecurity Policies, Threat Detection, NIST Cybersecurity Framework.
[1]. Adebayo, V. I., Paul, P. O., & Eyo-Udo, N. L. (2024). The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management. GSC Advanced Research and Reviews, 20(1), 088-097. [4]. Adepoju, A. H., Austin-Gabriel, B., Eweje, A., & Collins, A., 2022. Framework for Automating Multi-Team Workflows to Maximize Operational Efficiency and Minimize Redundant Data Handling. IRE Journals, 5(9). [5]. Adepoju, A. H., Austin-Gabriel, B., Hamza, O., & Collins, A., 2022. Advancing Monitoring and Alert Systems: A Proactive Approach to Improving Reliability in Complex Data Ecosystems. IRE Journals, 5(11).
|
Uzoukwu C. S., Ogbonna S. N., Iroegbu R. U., Nwokorobia G. C., Eziefula U. G., Ikpa P. N., Onuoha O. I., Ubagha O. P., Udoha C. L |
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| Buckling Effect on Uniformly Clamped Thin Plate with Non Even Stiffness Coefficients, Under External Load | ||||||
Different cases of supports systems were critically reviewed in this research. The work centered on uniformly
supported plate. Odd energy functional was adopted. Considering two different rectangular thin isotropic plate
elements, under the influence of external (load). The first case was simply supported all round while the other
plate arrangement was Clamped all round. The shape functions, 3rd order strain energy equation and external
load parameter were formulated from first principle after several minimization. The second case gave rise to the
Third Order Overall Potential Energy Functional. Integrating the Total Energy functional with respect to the
amplitude produced the Governing equation.............
Third Order Overall Potential Energy, Strain Energy, Overall Energy potentials.
[1]. Audoly, B., Roman, B. and Pocheau, A. (2002). Secondary Buckling Patterns of a Thin Plate under In-plane Compression. The
European Physical Journal BCondensed Matter and Complex Systems, Vol. 27, No. 1 (May).
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Dr. NATHANIEL NDAGANA UMARU, Mohammed El Mahmud, JONATHAN DANLADI, SHALUKO YOHANNA DOMA |
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| Challenges in Implementing Entrepreneurship Education For Youth's Empowerment At Colleges Of Education Level In Nigeria | ||||||
Presently in Nigeria, many youths seems to wallow in abject poverty with no skills despite the quality curriculum designed to be implemented under entrepreneurship education at the post-basic education level in Nigeria. This study specifically reviewed the importance of entrepreneurship education for youth's empowerment; it also examined the challenges teachers face in implementing EE curriculum in Nigeria. Findings from literature revealed that entrepreneurship education helps to equip learners with knowledge, skills, and attitude which will enable youths discover their talents in order to plan and create business ventures for economic development.............
Implementing entrepreneurship education; National development; Nigeria; Youth empowerment.
[1]. Adegoke,B.A.(2015).Anassessmentoftheroleofbasicscienceeducationinpovertyreductioninthesub-saharanAfrica:Nigeriaasacasestudy.InternationalJournalofHumanitiesandSocialScience,5(1),15-20.
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