Okpala Charles Chikwendu, Nwankwo Obiuto Constance |
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Augmented Reality in Education 5.0: Designing Immersive Learning Environments | ||||||
The emergence of Education 5.0 marks a paradigm shift towards more human-centric, technology-enhanced, and experiential learning models that prepare learners for a rapidly evolving digital society. Among the key enablers of this transformation is Augmented Reality (AR), which offers immersive and interactive learning experiences that bridge physical and digital environments. This article explores the integration of AR within Education 5.0 frameworks, and focused on its potential to design immersive learning environments that support personalized, collaborative, and skill-oriented education........
augmented reality, education 5.0, immersive learning, personalized education, experiential learning, edtech innovation, human-centered learning environments
[1].
Akçayır, M., andAkçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1–11. https://doi.org/10.1016/j.edurev.2016.11.002
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Okpala Charles Chikwendu, Igbokwe Nkemakonam Chidiebube |
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Cybersecurity 2030: Trends, Technologies, and Threat Horizons | ||||||
As digital transformation accelerates across every sector, the cybersecurity landscape is undergoing profound and complex changes. This article explores the projected trajectory of cybersecurity through 2030, focusing on emerging trends, disruptive technologies, and evolving threat horizons. It analyzes the implications of advancements such as artificial intelligence, quantum computing, 5G, and the Internet of Things (IoT), while also examining the growing sophistication of cyber adversaries. Key challenges addressed include the rise of AI-enabled attacks, the urgent need for post-quantum cryptography, and the increasing importance of zero trust security models...........
cybersecurity 2030, emerging threats, quantum computing, artificial intelligence, zero trust, post-quantum cryptography, cyber policy, internet of things
[1].
Aguh, P. S., Udu, C. E., Chukwumuanya, E. O., and Okpala, C. C. (2025). Machine learning applications for production scheduling optimization. Journal of Exploratory Dynamic Problems, 2(4). https://edp.web.id/index.php/edp/article/view/137
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Okpala Charles Chikwendu, Aguh Patrick Sunday |
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The Human Factor in the Future of Cybersecurity: Trust, Privacy, and Responsibility | ||||||
As cybersecurity threats become increasingly sophisticated, the role of the human factor is gaining critical importance in shaping effective and ethical defense strategies. This article explores the evolving relationship between individuals and cybersecurity systems, emphasizing how trust, privacy, and responsibility are central to future resilience. It argues that technological solutions alone are insufficient without an integrated understanding of human behavior, motivation, and interaction. Through a multidisciplinary lens, the article examines how user awareness, design thinking, ethical leadership, and organizational culture can reduce vulnerabilities, while enhancing trust and accountability........ cybersecurity, human factor, trust, privacy, responsibility, user behavior, digital ethics, cybersecurity awareness, human-centered design, security culture
[1].
Acquisti, A., Brandimarte, L., and Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514. https://doi.org/10.1126/science.aaa1465
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Okpala Charles Chikwendu, Chukwumuanya Emmanuel Okechukwu |
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The Future of Cybersecurity Technologies: From Firewalls to Autonomous Defense | ||||||
As the digital threat landscape becomes increasingly complex, the evolution of cybersecurity technologies has shifted from traditional, perimeter-based defenses to intelligent, autonomous systems. This article examines the historical trajectory and future direction of cybersecurity tools, highlighting key developments such as firewalls, Intrusion Detection and Prevention Systems (IDS/IPS), and the integration of artificial intelligence and machine learning in modern defense strategies. Emerging paradigms including Zero Trust Architecture (ZTA), Extended Detection and Response (XDR), Security Orchestration, Automationcteria.......
cybersecurity evolution, firewalls, intrusion detection and prevention systems, artificial intelligence, zero trust architecture, extended detection and response, SOAR
[1].
Aguh, P. S., Udu, C. E., Chukwumuanya, E. O., and Okpala, C. C. (2025). Machine learning applications for production scheduling optimization. Journal of Exploratory Dynamic Problems, 2(4). https://edp.web.id/index.php/edp/article/view/137
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Achmad Syarifudin, Zul Hendri |
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Analysis of Irrigation Water Needs in The Kelingi Tugumulyo Water Irrigation Service Area | ||||||
In order to meet water needs, especially for water needs in rice fields, it is necessary to establish an irrigation system and build a weir. The need for water in rice fields is then called the need for irrigation water. This research aims to determine and analyze irrigation water needs in the Air Kelingi Tugu Mulyo irrigation service area. The results of the research produced irrigation water requirements in the Kelingi irrigation service area of 0.2847 – 11.5184 m3/sec. The need for irrigation water during each planting period I. The maximum water requirement occurs in the third week of November at 11,038 m3/s. This occurs because that month is the month for preparing the land for the planting period I, so the need for irrigation water increases........
Irrigation used, Air kelingi irrigation, Water balance.
[1]. Andikha, F., 2017, Penerapan Sistem Ecodrainage Dalam Mengurangi Potensi Banjir (Studi Kasus di Kabupaten Sampang)
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Emir Brulic |
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Green Infrastructure and Technological Innovation: The Role of LIQUID 3 in Air Pollution Reduction in Bosnia and Herzegovina | ||||||
This research examines the potential of LIQUID 3, an urban photobioreactor with microalgae, as an innovative tool for mitigating air pollution and complementing traditional greenery in cities. Through photosynthesis, LIQUID 3 captures carbon dioxide and produces oxygen, supported by solar panels, built-in lighting, and a water-based system that enables year-round operation. Developed in response to Serbia's high pollution rates in 2020, LIQUID 3 serves as a case study for densely populated areas where green spaces are limited.......
air pollution, greenary, liquid 3, bosnia and herzegovina
[1] S. D. Koolen and G. Rothenberg, Air Pollution in Europe. 2018.
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Dr. Sabahat Anjum, Dr. Nilofar Korbu, Dr. Shalini Varshney |
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Exploring Varnya Dravya of Kaiyedeva Nighantu: An Analytical Review | ||||||
In Ayurveda, Varnya Dravyas are herbs that support the enhancement of natural complexion and skin health. These agents function by maintaining the balance of Bhrajaka Pitta, Rakta Dhatu, and Ojas, which are considered key to achieving a radiant appearance. This review critically examines the Varnya herbs described in Kaiyadeva Nighantu, a significant 15th-century Ayurvedic lexicon known for its structured pharmacognostic classification. A total of 27 Varnya herbs have been identified from the Aushadhi Varga, with an emphasis on their Rasa (taste), Veerya (potency), and traditional indications.......
Varnya Dravya, Kaiyadeva Nighantu, Ayurvedic dermatology, Complexion-enhancing herbs, Skin health
[1]. Pallavi G. A study on the concept of varnya vis-a-vis clinical evaluation of efficacy of varnya gana lepa in vyanga. Dissertation. Department of Postgraduate Studies in Ayurveda Siddhanta, Government Ayurved Medical College, Mysore; p. 18
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Anthony Lenata Patta, Richmond U. Ideozu, Adaobi Gloria Osaji |
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Enhancing Pore Pressure Prediction in Turbidite Systems: A Geostatistical and Geological Framework | ||||||
Accurate pore pressure prediction is a cornerstone of safe and efficient petroleum exploration, especially in geologically complex deepwater basins like the Niger Delta. This study presents an integrated framework that combines traditional wellbore-based pore pressure estimation with advanced geostatistical modeling to produce a comprehensive, field-wide pressure surface. We utilized well log data from a deepwater field, applying Eaton's method to derive pore pressure at discrete well locations. The derived pressures were rigorously validated against direct formation pressure measurements, showing a high degree of correlation with an average deviation of less than ±1.5 bar, confirming the method's applicability.......
pore pressure, geostatistical modelling, Kriging, spatial and variance.
[1].
Abbey, C. P., Meludu, O. C., &Oniku, A. S. (2021). 3D modeling of abnormal pore pressure in shallow offshore Niger Delta: An application of seismic inversion. Petroleum Research, 6(2), 158–171. https://doi.org/10.1016/j.ptlrs.2020.12.001
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Shreya Singh |
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UAVs: Evolution of Autonomous Vehicles | ||||||
Unmanned Aerial Vehicles (UAVs) have undergone a remarkable transformation from simple radio-controlled aircraft to sophisticated autonomous systems capable of complex decision-making and independent operation. This paper examines the evolutionary trajectory of UAV technology, exploring the fundamental principles governing their operation, the historical milestones that shaped their development, and the technological breakthroughs that enabled the transition to autonomous flight.......
..........
[1].
Austin, R. (2010). Unmanned aircraft systems: UAVS design, development and deployment. John Wiley & Sons.
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SRIRAMA CHANDRAN VEERAVALLI |
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ANVIUNPRO-2040(RC) | ||||||
After seeing immense sufferings and unbelievable losses incurred from covid-19, I dreamt of a typical concept which I coined as "anviunpro-2040RC". Its expanded form is given below: "AntiViralUniversalProtein2040RC" [RC: Rama Chandran]
.......
[1] A simple dipeptide has two possible structures based on the amino acid which contributed OH part [from COOH] (or) H part [from NH2]. eg: Glycine + Alanine → Glycylalanine [1] + Alanylglycine [2] where in [1], NH2 of Gly is free while in [2], NH2 of Ala is free. So, [1] has structural formula as : H2N-CH2-CO-NH-*CH(Me)-COOH [N to C terminal] [2] has structural formula as: H2N-*CH(Me)-CO-NH-CH2-COOH [N to C terminal] In both [1] and [2], C* = stereogenic centre (or chiral carbon) and both are optically active.
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Do Hoang Giang, Nguyen Hai Dang, Nguyen Tien Dat |
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Total phenolic and saponin content and α-amylase inhibition of marketed Pandanus tectorius fruits and leaves | ||||||
Pandanus tectorius is widely marketed in Vietnam as crude herbal material and tea, yet comparative data on its phytochemical quality and α-amylase inhibition remain limited. In this study, thirteen fruit and nine leaf samples were purchased from local markets and e-commerce sources and extracted with 90% ethanol. Total phenolic content (TPC) and total saponin content (TSC) were determined by Folin–Ciocalteu and vanillin–sulfuric acid assays, while α-amylase inhibition was evaluated using a modified DNSA method. Results were expressed on both a sample basis (mg/g dry material) and an extract basis........
Pandanus tectorius, phenolic, saponin, α-amylase
[1]. Gallaher, T., Callmander, M. W., Buerki, S., Keeley, S. C. (2015). A long-distance dispersal hypothesis for the Pandanaceae and the origins of the Pandanus tectorius complex. Molecular Phylogenetics and Evolution, 83, 20-32.
|
Péter Orgoványi |
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Hydraulic Modeling and Spatial Data Integration in Urban Water Supply Networks: Methodological Advances and Practical Applications | ||||||
The hydraulic modeling of public water supply systems has undergone significant technological and methodological advancements over the past decades. The integration of computer simulations, geographic information systems (GIS), and machine learning-based predictive algorithms has opened new possibilities for understanding network behavior, optimizing operations, and forecasting water quality. This study reviews the historical development of hydraulic modeling, highlights the role of modern data-driven approaches, and provides a detailed analysis of methodologies for spatial distribution of consumption data.......
hydraulic modeling, GIS, geocoding, EPANET, sustainable operation
[1]
L. A. Rossman, Users manual. National Risk Management Research Laboratory, Office of Research and Development: U.S. Environmental Protection Agency, 2000.
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Afolabi Awodeyi, Philip Asuquo, Bliss Utibe-Abasi Stephen |
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Optimizing CNN-Based Biometric Systems for Dataset-Specific Preprocessing: A Case Study on ORL and CASIA Databases | ||||||
Biometric authentication has gained significant attention due to its ability to provide secure and user-specific identification. However, the performance of convolutional neural networks (CNNs) in biometric recognition is strongly dependent on the preprocessing strategies applied to the dataset. This paper investigates dataset-specific preprocessing for two benchmark databases: ORL for face recognition and CASIA-IrisV4 for iris recognition. The study proposes tailored preprocessing methods including normalization, resizing, histogram equalization, and iris boundary refinement to improve CNN feature extraction. Results show that optimizing preprocessing for each dataset significantly enhances recognition accuracy and robustness compared to uniform preprocessing strategies.
Convolutional Neural Networks (CNNs), Face Recognition, Iris Recognition, Biometric Fusion, Dataset-Specific Preprocessing
[1].
Abdo, M., Mekdad, Y., & Ahmad, A. (2022). Multimodal biometric fusion based on convolutional neural networks. Sensors, 22(5), 2451.
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NIU Yunliang, Yingbei Niu |
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Research on Regionally Adaptive Green Building Evaluation System: A Case Study of Student Dormitories in Central China | ||||||
This study explores the application of green building technologies and the development of a tailored evaluation system for student accommodations, using Xinzheng City as a case study. It aims to support the green transformation of such buildings by promoting energy efficiency, environmental protection, and optimal resource use.A five-dimensional evaluation framework—covering energy efficiency, water management, material use, indoor environmental quality, and innovation—was established through literature review and fieldwork. A mixed-methods approach combined qualitative (expert consultation) and quantitative (surveys and IoT data analysis) methods to assess technology effectiveness........
green building evaluation system; sustainable development evaluation index;energy saving
[1] Lai, F., Zhou, J., Lu, L., Hasanuzzaman, M., & Yuan, Y. (2023). Green building technologies in Southeast Asia: A review. Sustainable Energy Technologies and Assessments, 55, 102946.
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S.T Pavithra Devi, Dr. V. Maniraj |
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Machine Learning in Coconut Plantation Management: An Analytical Survey | ||||||
Coconut plantations play a vital role in supporting rural economies, yet their management often faces challenges such as unpredictable weather, pest outbreaks, and difficulties in yield estimation. In recent years, machine learning has emerged as a valuable tool for addressing these issues by offering intelligent, data-driven solutions. This survey provides analytical insights into how machine learning techniques are being applied in coconut plantation management. From maturity detection and automated harvesting to yield forecasting and disease diagnosis, machine learning models such as Support Vector Machines, Random Forests, and Convolutional Neural Networks are demonstrating great promise.......
Coconut plantation management, Machine learning, Yield prediction, Pest and disease detection, Precision agriculture.
[1] Goswami, A., & Dhablia Kirit, D. (2025). Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health. In
|
Lu WANG |
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A Simulation-Based Framework for the Freight Forwarding Industry to Mitigate the Ripple Effect in Global Supply Chains | ||||||
The freight forwarding industry, as the primary orchestrator of global logistics, is uniquely vulnerable to disruptions that propagate as costly ripple effects. This study develops a hybrid simulation model within the AnyLogic environment to equip freight forwarders with a quantitative tool for analyzing port disruptions and evaluating mitigation strategies. Combining Discrete-Event Simulation (DES) for process flow and Agent-Based Modeling (ABM) to simulate forwarder decision-making, the model replicates a major Asia-Europe trade lane. Scenarios simulate a 21-day closure of the Port of Rotterdam.......
Freight Forwarding Industry, Supply Chain Resilience, Ripple Effect, Decision-Support, Discrete-Event Simulation, Agent-Based Modeling, Port Disruption, Mitigation Strategies.
[1]. Ivanov, D. (2021). Supply chain resilience: the ripple effect and COVID-19. International Journal of Production Research, 59(7),
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ALI MAJID JABBAR ALSAYYIDSSA, Azeev Aleksandr |
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Enhancing Reservoir Characterization in Buzrgan Oil Field through Integrated Well Logging and Seismic Reflection Data | ||||||
Reservoir characterization plays a vital role in ensuring efficient hydrocarbon exploration, development, and production. A precise understanding of subsurface reservoir properties such as porosity, permeability, lithology, and fluid saturation enables geoscientists and engineers to design better strategies for field development and production optimization. However, traditional reservoir characterization techniques often rely on either well logging or seismic reflection data independently, which results in incomplete, inconsistent, or even contradictory interpretations......
Reservoir characterization, Well logging, Seismic reflection, Petrophysical properties, Data integration, Buzrgan Oil Field, Hydrocarbon exploration.
[1].
Al Ibrahim, R. N., Al-Owaidi, M. R., Alnajen, F. M., & Al-Khafaji, A. J. (2022). Investigation of the Geochemical Properties and Origin of the Crude Oils Accumulated in the Mishrif Reservoirs in the Zubair, Halfaya, and Buzurgan Oilfields, Southern Iraq. The Iraqi Geological Journal, 98-110.
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Sonu Pradheen Kotapati, Gopi Chand Edara, Bhavana Kucharlapati, Venkata Revant Kolipara |
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Facilitating Cross-Cultural Business Negotiations with Real-Time AI Translation Technologies | ||||||
When companies from different countries try to make business deals, language differences can cause confusion and slow things down. Artificial Intelligence (AI) solves this with real-time translation tools that instantly convert what one person says into another language during talks. For example, a U.S. company can negotiate with a Japanese partner over a video call, and AI will translate both sides' words on the spot, making conversations clear and smooth. This saves time and money compared to hiring human translators and can increase deal success by 15% by reducing misunderstandings. By fostering clear communication, AI builds trust, a key psychological factor in sales persuasion. While AI might miss some cultural details, it's a huge help for international business.......
AI translation, cross-cultural communication, international business, real-time translation, language barriers, global negotiations, business communication, cultural understanding, negotiation tools, trust building.
[1]. Liu, Z. (2024). New Dynamics in Cross-Cultural Exchange: A Study on the Role and Impact of Artificial Intelligence Technology in the Global Cultural Market. Academic Journal of Business & Management, 6(12), 137-143.
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Sonu Pradheen Kotapati, Gopi Chand Edara, Bhavana Kucharlapati, Venkata Revant Kolipara |
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Leveraging AI for Predictive Maintenance in Industrial Sectors of Emerging Economies | ||||||
Factories in developing countries often face big problems when machines break down unexpectedly, causing delays and expensive repairs. Artificial Intelligence (AI) helps by using predictive maintenance to spot issues before they happen. Sensors on machines collect data, like temperature or vibration, and AI analyzes it to predict when a machine might fail. For example, if a motor is running too hot, AI can warn technicians to fix it early, preventing a shutdown. This can save factories up to 20% in maintenance costs and keep production running smoothly, which is crucial in emerging markets where money is tight. By showing clear cost savings, AI persuades factory owners to adopt it, tapping into their desire for efficiency......
predictive maintenance, AI in manufacturing, industrial IoT, emerging markets, cost savings in maintenance, machine learning in industry, factory efficiency, preventive maintenance, industrial automation, operational reliability
[1]. SARDJONO, W., & PRATAMA, D. A. (2025). UTILIZING ARTIFICIAL INTELLIGENCE PREDICTIVE MAINTENANCE IN LEAN MANUFACTURING TO BOOST INDUSTRIAL SUSTAINABILITY AND ENERGY EFFICIENCY. Journal of Theoretical and Applied Information Technology, 103(13).
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Sonu Pradheen Kotapati, Gopi Chand Edara, Bhavana Kucharlapati, Venkata Revant Kolipara |
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The Role of Emotional Intelligence in Tech Sales and Business Development | ||||||
Emotional intelligence (EQ) is a key skill for tech sales and business development, helping professionals understand and manage customer emotions. Unlike regular intelligence, EQ focuses on empathy, self-awareness, and social skills, making it easier to build trust with clients. In tech sales, EQ helps salespeople handle rejections, address customer concerns, and close deals, with studies showing a 12% sales increase for high-EQ teams. For business development, EQ supports forming partnerships and entering new markets by creating strong relationships. This article explains how tech companies can train their teams in EQ to improve sales performance and grow their business, using real-world examples and simple strategies.
Emotional intelligence, tech sales, business development, customer trust, empathy, sales performance, partnerships, relationship building
[1]. Reid, M. (2015). Sales performance and emotional intelligence of technology sales professionals. Walden University.
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Oghonyon, R., Okereke, V., Nnurum, E.U., Orianwo, D. C. |
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Interpretation Of Resistivity Attributes for Groundwater Prospecting in Abuja Campus, University of Port Harcourt | ||||||
Groundwater remains the most reliable water source in the Niger Delta, where surface water is vulnerable to anthropogenic contamination and saline intrusion. This study characterizes aquifer units within the Benin Formation at the Abuja Campus of the University of Port Harcourt using Vertical Electrical Sounding (VES) and Electrical Resistivity Tomography (ERT). VES data from analog terrameters revealed a five-layer subsurface sequence with a QH-type curve, dominated by alternating clay and sand units. A thick sandy aquifer with resistivity of ~575.57 Ωm at ~25 m depth, and a deeper sandy aquifer with ~718.30 Ωm resistivity, were delineated........
Benin Formation, groundwater, aquifer, resistivity, VES, ERT, University of Port Harcourt
[1].
Aizebeokhai, A. P., Oyeyemi, K. D., & Odukoya, A. M. (2022). Vertical electrical sounding for groundwater exploration in sedimentary basins: A case study from Nigeria. Environmental Earth Sciences, 81(3), 102–115. https://doi.org/10.1007/s12665-022-10123-4 [3].
Amajor, L. C. (1991). Aquifers in the Benin Formation (Miocene—Recent), eastern Niger Delta, Nigeria: Lithostratigraphy, hydraulics, and water quality. Environmental Geology and Water Sciences, 17(1), 85–101. https://doi.org/10.1007/BF01701565
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Ajagbe Joseph Olutunde |
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Impact of Social Media Marketing on the Sales of Fast Fashion Products of Ziva Fashion, Lagos, Nigeria | ||||||
The fashion industry ranks as the third-largest global manufacturing sector, following technology and automotive industries. With the increasing adoption of social media in Nigeria, a substantial digital market has emerged, offering significant opportunities for business promotion and product sales. This study investigates the impact of social media marketing on the sales performance of fast fashion brands, using Ziva Fashion in Lagos, Nigeria. It examines the extent to which social media marketing influences sales, explores the challenges encountered, and evaluates strategies employed by Ziva Fashion in its digital marketing efforts........
fast fashion, social media, social media marketing, sustainable products
[1].
Bell, J. and Waters, S. (2018) Doing Your Research Project: A Guide for First-Time Researchers. 7th edn. Maidenhead: Open University Press.
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Rudy Sutanto, I Gede Bawa Susana |
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Performance and Efficiency Study of Hydraulic Ram Pumps as an Alternative Solution for Water Supply in Remote Areas | ||||||
A hydraulic ram pump is a simple mechanical device that can pump water to higher elevations without using external energy such as electricity or fuel. This technology utilizes the kinetic energy of gravitational water flow to generate pressure through the water hammer effect. This article aims to examine the potential application of hydraulic ram pumps in water supply systems in remote areas and evaluate their efficiency and performance through analytical approaches and literature simulations. The analysis results indicate that hydraulic ram pump efficiency can reach 60–80% depending on the configuration and inlet flow rate. This pump is ideal for areas with a continuous flowing water source and a minimum elevation difference of 1 meter. This study is expected to provide a basis for the development of sustainable and energy-efficient water supply systems in areas with limited infrastructure.
hydraulic ram pump, hydro energy, water hammer, pump efficiency, rural water supply
[1].
Jafri, M., Bale, J. S., and Thei, A. R. 2021. Studi Eksperimental Pengaruh Diameter Katup Limbah dan Diameter Katup Pengantar terhadap Efisiensi Pompa Hidram 3 Inchi. LONTAR Jurnal Teknik Mesin Undana, 3(1). https://ejurnal.undana.ac.id/LJTMU/article/view/465
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Jagannadham Naga Jaya Surya, Mangalagiri Krishna Rekha, Gorle Sneha Latha |
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Global Perspectives on Combination Products: Regulation, Safety–Efficacy, and Rare Disease Challenges | ||||||
Combination products (CPs), particularly drug–device combinations (DDCs), are increasingly important in healthcare, as they integrate diverse technologies into a single product. These innovations show strong potential to improve treatment outcomes and address unmet needs, especially in rare diseases. However, development and approval remain complicated due to classification uncertainties, inconsistent regulatory oversight, and complex operational requirements. Global trends highlight three key directions: the move toward harmonized frameworks, greater use of real-world evidence, and collaborative evaluations among agencies........
Combination products, Drug–device combinations, Rare diseases, Regulatory challenges, Risk management, Global harmonization
[1].
Kim, Joo & Kwon, Sera & Seol, Ju & Kim, Mi & Kim, Su. (2024). Regulatory Framework for Drug-Device Combination Products in the United States, Europe, and Korea. Therapeutic innovation & regulatory science. 58. 10.1007/s43441-024-00661-2.
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Olagoke B. E., Olaomotito P. A., Olayanju A. B. |
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Performance-Based Evaluation of HDPE and Butonal-Modifies Asphalt Binders | ||||||
The increasing demand for high-performance and durable road pavements has led to widespread interest in polymer modification of asphalt binders. This study investigates the effect of polymer type and dosage concentration on the rheological properties of asphalt binders using two polymer modifiers: Styrene-Butadiene-Styrene (Butonal) and High-Density Polyethylene (HDPE). The unmodified binder was first characterized for its basic properties, after which it was modified with HDPE and Butonal at varying concentrations (2%, 3%, 4%, and 5% by weight of binder)........
Polymer-modified asphalt, HDPE, Butonal, polymer dosage.
[1] Al-Khateeb, G. G., Zeiada, W., Ismail, M., Shabib, A., & Tayara, A. (2020). Mechanistic-empirical evaluation of specific polymer-modified asphalt binders effect on the rheological performance. Scientific Progress, 103(4), 36850420959876. https://doi.org/10.1177/0036850420959876
|
Lu WANG |
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A Bayesian Network Model for Assessing and Mitigating Operational Risk in Logistics-Specific English Communication | ||||||
Operational risk in global logistics is frequently compounded by miscommunication, yet traditional language assessments fail to capture the domain-specific competencies required for efficacy. This paper proposes a novel application of a Bayesian Network (BN) model to quantify and mitigate the risk of communication failure in logistics English. The model integrates key linguistic, strategic, and task-specific factors into a probabilistic framework that supports predictive risk assessment, diagnostic root-cause analysis, and targeted mitigation strategies. Validation through numerical experiments demonstrates 72.1% reduction in documentation errors. By moving beyond generic proficiency metrics, this approach provides logistics enterprises with a data-driven tool for targeted interventions and enhanced operational resilience.
English for Specific Purposes (ESP), Logistics, Bayesian Network, Risk Assessment, Communication Risk Mitigation, Operational Efficiency
[1].
Global Shipping Authority. (2023). Annual Report on Maritime Communication Efficiency. Geneva: GSA Publications.
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Adefisoye S. A., Alli P. A, Adebayo K. J, Olaomotito P. A, Awos, O. A |
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The Effect of Using Snail Shell Ash and Glass Powder in Concrete | ||||||
The rising environmental concerns associated with cement production have driven the need for alternative, sustainable materials in construction. One such approach is the partial replacement of Portland Limestone with supplementary materials derived from waste. This study explores the potential of snail shell powder (SSP) and glass powder (GP) as partial replacements for Portland Limestone in concrete. The objective was to evaluate the fresh and hardened properties of concrete produced with these materials to assess their suitability for structural applications........
......
[1].
Adeala, A. J., & Olaoye, J. O. (2019). Structural properties of snail shell ash concrete (SSAC). Journal of Emerging Technologies and Innovative Research (JETIR), 6(12), 24-31.
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Umar Iliyasu, Aminu Bashir Suleiman, Ahmed Ibrahim Mahmud |
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Automated Classification of Alzheimer's Disease Using Deep Learning on MRI Data | ||||||
Alzheimer's disease (AD) is a disorder of progressive neurodegenerative, which causes challenges significantly for early diagnosis and clinical management. Advancements recently in deep learning have enabled automated approaches for disease detection using neuroimaging, offering the potential for timely and accurate diagnosis. This study proposes an automated MRI-based Alzheimer's disease classification framework employing a fine-tuned ResNet-18 convolutional neural network with transfer learning. Structural MRI scans were preprocessed through resizing, normalization, and augmentation before being trained and validated on the model........
Alzheimer's Disease, Magnetic Resonance Imaging (MRI), Deep Learning, ResNet-18, Transfer Learning
[1] E. R. Vinukonda and B. Jagadesh, "An integrated deep learning model for early and multi-class diagnosis of Alzheimer's disease from MRI scans," Scientific Reports, vol. 15, no. 1, p. 17169, 2025.
|
Lu WANG |
||||||
The Dialectics of Flight: Civil Aviation as a Mirror of Human Ambition, Inequality, and Resilience | ||||||
This paper posits civil aviation not merely as an industry but as a critical socio-technical system that reflects and shapes the core paradoxes of contemporary humanity. Through an interdisciplinary analysis, we argue that the sector is a dialectical entity, simultaneously embodying humanity's highest aspirations for connection and cooperation and its deepest contradictions of inequality and environmental impact. We enhance existing literature by integrating a granular case study on the reconfiguration of aircraft cabins post-pandemic, providing new data on the spatial politics of air travel. Our findings reveal that the industry's response to crisis accelerates pre-existing social and technological trends rather than inventing new ones. We contribute a novel theoretical framework that conceptualizes aviation as a "human mirror," arguing that its future trajectory is the most tangible test of humanity's ability to navigate the tensions between global connectivity, social equity, and planetary sustainability.
Civil Aviation, Socio-Technical Systems, Connectivity, Inequality, Cabin Architecture, Sustainable Aviation, Pandemic Resilience, Human Geography, Dialectics.
[1].
Abdullah, M., Ali, N., & Aslam, A. B. (2022). Airport service quality and passenger satisfaction post-COVID-19: A new paradigm. Journal of Air Transport Management, 101, 102204.
|
Sreeraj Rajasekharan Pillai |
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Advancing Fire Safety in Electric Mobility | ||||||
This research paper discusses the essential fire safety issues related to Electric Vehicles or EVs, which arise due to the large use of lithium-ion battery technology. Although statistically uncommon compared to Internal Combustion Engine (ICE) vehicle fires, EV battery fires contain their own complexities such as thermal runaway, release of highly toxic and flammable gases, long burn times, and the high risk of reignition because of stranded energy. The article takes a closer look at the basic principles of thermal runaway, juxtaposing the unique fire behavior of EVs and ICE car models.........
Battery Chemistry, Battery Management Systems (BMS), Electric Vehicles (EVs), Fire Safety, Thermal Runaway, Vehicle Fires
[1].
04.4 Risks with EV Battery Fire - EV fire overall | EV Fire Safe. (2023). EV Fire Safe. https://www.evfiresafe.com/risks-ev-fires
|
NATHANIEL NDAGANA UMARU, ADAMU MUHAMMED JEBBA, HAUWA T. ABDULKAREEM, TIJJANI S. ABDULRAHMAN, SHALUKO YOHANNA DOMA, ABDULLAHI MUSA MOHAMMED, ATTAHIRU ABDULLAHI |
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Effects of Glencoe's and Rusbult's Problem-Solving Instructional Strategies on Students' Cognitive and Skils Achievement in Electrical Installation and Maintenance Work in North-Central | ||||||
The study determined the Effects of Glencoe's and Rusbult's Problem-Solving Instructional Strategies on Students' cognitive and skills Achievement in Electrical Installation and Maintenance Work in technical Colleges in North-Central, Nigeria. The study adopted a factorial research design using pretest, posttest, non-equivalent control group design. The study was conducted in the North-central geo-political zone of Nigeria. The population for this study comprised of 1013 NTC II student of EIMW in the 29 accredited technical colleges in North-central of Nigeria........
Rusbult's and Glencoe's problem-solving strategy, Electrical Installation and Maintenance Work, technical College, students' and cognitive achievement.
[1].
Abubakar, S. M. & Danjuma I. M. (2012). Effects of Explicit Problem-Solving Strategy on Students` Achievement and Retention in Senior Secondary School Physics. Journal of Science, Technology & Education, 1(1), 123- 128
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Prof. M. Sc. Alcides Feitosa Neto, Profa. Dra. Eligenes Sampaio do Nascimento, Spec. Felipe Guerra Cavalcante, Flávia Rayanne Rayan de Sousa Martins Chaves, Prof. Dr. Francisco José Lopes Cajado, Dr. Givanildo Ximenes Santana, Spec. Joaquim Caldas Rolim de Oliveira, José Reudson de Souza, Spec. Irene Mendes Fontes, M. Sc. Isaac Taumaturgo Pinto, Spec. Lara Carvalho de Souza Azevedo, M. Sc. Márcio Carneiro Barbosa, Ph.D. Paulo Henrique Barbosa Sousa, Prof. Dr. (Tít. Cult.) Rickardo Léo Ramos Gomes, M. Sc. Ronara Marques Ribeiro de Sousa, Spec. Silvana Claudia de Lima Accioly, Spec. Vanessa Sales Rocha |
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Hydrogen Vehicles and Sustainable Mobility: Integration of Technological Innovation, Trade, and Environmental, Social, and Governance Principles | ||||||
The growing demand for cleaner and more efficient transport solutions has placed hydrogen-powered vehicles at the center of discussions on sustainable mobility. This study adopted a qualitative approach based on two complementary procedures: a literature review, which compiled and compared scientific studies on the subject, and documentary research, grounded in technical reports, regulatory documents, and sectoral data. The main objective was to analyze how hydrogen-powered vehicles contribute to sustainable mobility by integrating technological innovation, commercial efficiency, and environmental, social, and governance principles across land, water, and air transport.........
hydrogen; sustainable mobility; technological innovation; environmental and social governance.
[1]
Ajanovic, A. (2023). Electricity vs. hydrogen in the transition towards sustainable mobility. Oxford Open Energy, 2. https://doi.org/10.1093/ooenergy/oiad013
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Antônio Carlos Nogueira Santos, Clara Angélica dos Santos, Fabio Luiz Oliveira de Carvalho, Francielly Vieira Fraga, Robelius De-Bortoli |
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Publishing Scenario On Geographical Indications In Brazil | ||||||
This text aims to describe the publishing landscape on Geographical Indication, which will serve as the basis for a doctoral dissertation. To this end, a search was conducted in the SCOPUS database using the term "Indication* and* Geographic*." From there, the data from this research were processed in the SCOPUS database, following five categories: the first, to identify the years with the highest frequency of work on this topic; the second, how frequently this topic is cited; the third, which research areas are of greatest interest on this topic; the fourth, how frequently researchers develop work on this topic; and the last, which countries produce the most work on this topic. This provided the foundation for this dissertation, which seeks to demonstrate the feedback from scientific productions on Geographical Indication to end producers.
Geographical Indication; Scopus Database; Doctoral Thesis
[1]. Bannor, R. K., Arthur, K. K., Oppong, D., & Oppong-Kyeremeh, H. (2023). A comprehensive systematic review and bibliometric analysis of food fraud from a global perspective. Journal of Agriculture and Food Research, 14. https://doi.org/ 10.1016/j.jafr.2023.100686, acesso em junho de 2025.
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Xiang Liu, Xiang Li, Tianfu Lan |
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Optimization Study on Microbial Wellbore Sand Control Culture Medium System for Loose Sandstone Reservoirs | ||||||
To address the high costs and significant pollution issues of traditional sand control technologies in oil fields, and to optimize the economic nature of the culture medium for the microbial-induced calcium carbonate precipitation (MICP) technology, this study screened out Bacillus subtilis from agricultural soil and determined that it grew optimally at 40°C and pH=7. Nine culture media were designed using the single-factor method, and the OD values of the bacteria, the pH of the culture medium, and the amount of calcium carbonate precipitation were compared..........
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[1].
Guang Xinjun, Yan Na. 2024. New Directions for the Development of Oil and Gas Engineering Technology in the Context of Energy Transition [J]. Petroleum Drilling Technology 52(04):151-157.
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Daniel Teguh Hariyanto, Pu Lyu |
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A Study on Passenger Satisfaction of the Jakarta-Bandung High-Speed Rail Based on the Modified P-TRANSQUAL Model | ||||||
With rapid urbanization, high-speed rail has become a key solution for intercity travel. Indonesia's first high-speed rail, WHOOSH, launched in October 2023, is gaining attention but must ensure long-term success by attracting passengers and building loyalty through service quality. Using the modified P-TRANSQUAL model with seven dimensions, this study analyzed passenger survey data through EFA, CFA, and SEM. Results show all dimensions significantly affect satisfaction, with comfort as the strongest factor, followed by reliability, safety and security, and personnel. Although image had the smallest impact, it still shapes perceptions. These insights help WHOOSH improve service quality and sustainability while offering a framework for evaluating high-speed rail in emerging markets.
high-speed trains; service quality; P-TRANSQUAL; customer satisfaction; structural equation modeling
[1].
BAHARUM S, HARON S, ISMAIL I, et. al. Urban Bus Service Quality through Sustainable Assessment Model[R/OL]//Int. J Sup. Chain. Mgt: Volume 8. (2019). http://excelingtech.co.uk/
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Dr. V.S. Reddy Tripuram |
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Learning-Based Encryption with Vision Transformers for Secure Cross-Domain Remote Sensing Analysis | ||||||
This study proposes a novel framework that integrates learnable encryption with Vision Transformers (ViTs) to ensure secure and accurate analysis of remote sensing imagery across diverse domains. The approach introduces a key-controlled, block-wise encryption mechanism that preserves essential spatial patterns while protecting sensitive image content. A ViT backbone is trained directly on encrypted data, leveraging its global attention capability to maintain high classification and segmentation performance. Evaluations on multi-modal datasets, including EuroSAT and BigEarthNet-MM, demonstrate the model's robustness to domain shifts and resilience to reconstruction attacks. The proposed method effectively balances privacy and utility, offering a scalable solution for secure remote sensing applications.
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[1].
Chen, Y., Lin, Z., & Li, Y. (2023). Privacy-preserving image classification using block-wise encryption and Vision Transformers. Remote Sensing, 15(3), 516. https://www.mdpi.com/2072-4292/15/3/516
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I Made Mara, Ida Bagus Alit |
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Evaluation of the Effectiveness of Corn Water Waste as an Additive in the Production of Cow Dung-Based Biogas Fuel | ||||||
Biogas is a renewable energy source produced through the anaerobic fermentation of biomass such as cow dung, and this study investigates the effect of adding corn waste water to cow dung on the quality and quantity of biogas generated. Four treatment compositions were tested: A (cow dung: corn waste water = 1:1), B (1:2), C (1:3), and D (1:1) as a control using water, each repeated three times over a 30-day period. The results showed that composition A yielded the highest biogas volume among the corn waste water treatments at 1168.08 cm³ and the highest methane content at 49.76%, while composition.........
Cow dung, biogas, corn waste, anaerobic fermentation
[1].
Aulia, L.A.N. (2022). Statistik Peternakan Tahun 2021. Dinas Peternakan dan Kesehatan Hewan Provinsi NTB.
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