Dechen Doma Bhutia, Swarup Das, Rakesh Kumar Mandal |
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| Artificial Neural Network-Based Prediction and Mapping of Elephant Corridors in West Bengal Using Geospatial and Environmental Variables | ||||||
The fragmentation of forest habitats and increasing anthropogenic pressures have significantly altered elephant movementpatternsinWestBengal,India,resultinginanescalatinghuman-elephantconflict.Accurateidentification and mapping of elephant corridors are essential for landscape-level conservation planning and mitigation.Traditional corridor mapping methods, including expert-based delineation and least-cost path analyses, oftenstruggle to capture the complex and nonlinear relationships between environmental variables influencing elephant movement............
......
[1] Wang, Peigen, and XiaoxuWu."Ai-drivenapproachestofloodriskmanagement:Overcomingdatabiasandenhancingdecision-making."DOI:https://doi.org/10.1016/j.crm.2025.100752.
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Don-Kyu Lee |
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| Study on Charged Particle Distribution According to Dielectric Thickness Variation in a DBD Cell Using 2D Simulation | ||||||
Various studies are underway to improve the characteristics of Dielectric Barrier Discharge (DBD) cells. Given that the internal dielectric layer plays a pivotal role in DBD cells, continued analytical research on this component is essential. This paper investigates the distribution characteristics of charged particles in relation to variations in dielectric thickness using two-dimensional simulations. First, the luminance and luminous efficacy corresponding to different dielectric thicknesses are calculated; subsequently, the extent of charged particle diffusion is analyzed to identify the underlying causes. While increasing the dielectric thickness reduces both luminance and power consumption, it leads to a broader distribution of charged particles, which can enhance the luminous efficacy of the DBD cell.
.....
[1].
U. Kogelschatz, IEEE Trans. Plasma Sci., 30 (2002) 1400. [2]. K. Takaki, K. Urashima, and J-S. Chang, IEEE Trans. Plasma Sci. 32 (2004) 2175.
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Deepanshu Sahu, Priya Sahu, Naveen Kumar Dewangan |
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| An Overview of ECG Arrhythmia Classification Methods | ||||||
An Electrocardiogram (ECG) is a key detection method employed to examine the electrical activity of heart and to detect cardiac abnormalities and arrhythmias. As the number of patients with cardiac disorders continues to rise, automated ECG analysis and classification methods have been designed to help medical professionals analyze ECG recordings. ECG analysis typically involves several phases, such as signal preprocessing, extraction of relevant features, and classification. Preprocessing is a crucial step, since ECG recordings may include various kinds of noise that can influence the analysis that follows..........
........
[1]
Global Status Report on Non-Communicable Diseases, 2010. [Online]
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Audi, Bitrus Simon, Amadi, H.N, Igbogidi, O.N |
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| Dynamic Simulation of Induction Motor Under Variable Load Condition and Fault Conditions | ||||||
The purpose of this study is to investigate the dynamic performance, fault detection, and adaptive control of induction motors using Bellman's dynamic programming method. Induction motors are critical in industrial operations, but their reliability is often undermined by issues such as overheating, bearing wear, and sudden load variations. Traditional control and detection methods rely heavily on static thresholds, which can be ineffective in handling transient disturbances and evolving fault conditions, leading to false alarms and inefficient operation. To address these challenges, this work applies dynamic programming optimization to enhance control strategies and improve fault sensitivity in real-time applications.......
Induction Motor; Dynamic Simulation; Variable Load; Fault Detection; Bellman Dynamic Programming; Adaptive Control; Motor Performance.
[1].
Fachini, F., De Castro, M., Liu, M., Bogodorova, T., Vanfretti, L., & Zuo, W. (2022). Multi-domain power and thermo-fluid system stability modeling using Modelica and OpenIPSL. In Proceedings of the 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 17–21 July 2022, pp. 1–5.
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Nwizor, C.Y., Amadi, H.N, Obuah, E.C |
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| Adaptive Control Strategies and MRAC-Based Battery Management Systems | ||||||
The increasing dependence on inverter-based power systems in regions with unstable grids has intensified the challenge of battery degradation, which reduces system reliability, increases operational costs, and shortens battery lifespan. This study proposes an Adaptive Load Management framework based on Model Reference Adaptive Control (MRAC) to enhance battery performance, optimize energy utilization, and minimize long-term system cost. The primary objective is to reduce deep discharge cycles, improve charge–discharge efficiency, and extend battery lifespan while ensuring stable load supply under variable demand conditions. The methodology integrates MRAC-based battery control, AI-driven load forecasting.........
Model Reference Adaptive Control, Adaptive Load Management, Battery Degradation, Inverter Systems, Smart Grid, AI Load Forecasting.
[1].
Göhler, G., Klingler, A.-L., Klausmann, F., & Spath, D. (2021). Integrated modelling of decentralised energy supply in combination with electric vehicle charging in a real-life case study. Energies, 14(20), 6874. https://doi.org/10.3390/en14206874
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Fitri Yeni, Firdaus, Achmad Syarifudin |
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| The Influence of Human Resources on Supply Chain Optimization in Sustainable Road Construction Projects | ||||||
Construction sector road is main driver growth economy national , but faced with obstacles low growth productivity and high challenge sustainability environment study This aim For analyze influence management Human Resources ( HR) – which includes Competence & Managerial (X1), Training & Development (X2), Motivation Work (X3), and Team Collaboration (X4) – towards optimization chain supply construction projects road measured sustainability through Efficiency Cost (Y1) and Sustainable Performance (Y2). Case study of road construction Palembang – Betung (Paltung) toll road Sections 1 & 2 managed by PT. WaskitaKarya (Persero) Tbk.........
Human Resource Management, Supply Chain, Cost Efficiency, Toll Road Construction, Sustainable Performance.
[1].
Abedi, M., Baldry, D., & Sarshar, M. (2014). Critical success factors for implementing supply chain management in the construction industry.
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Dr. Kritika, Dr. Krishan Kumar |
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| Screen Time and Child Development: An Ayurvedic Perspective | ||||||
Introduction: The rapid expansion of smartphones, tablets, computers, television and other digital media has resulted in increasing screen exposure among children. Although digital technology has educational and recreational benefits, excessive and prolonged screen use may interfere with sleep, physical activity, attention, behaviour, emotional regulation and social interaction. Ayurveda describes childhood as an important period of physical, mental and sensory development and emphasizes balanced sensory engagement, appropriate daily routine, adequate sleep, wholesome nutrition, physical activity and healthy conduct. The present review explores excessive screen exposure from an Ayurvedic perspective and examines its possible implications for child development..........
Screen time, Child development, Ayurveda, Manas, Medha, Buddhi, Ojas, Indriya, Dinacharya, Nidra, Sadvritta.
[1].
World Health Organization. Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children under 5 Years of Age. Geneva: WHO; 2019.
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Deepak Kumar Vishwakarma, Ruchi Sahu, Ishita Kar, Dr. Ekta Tamrakar |
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| Swarm Knowledge Exchange: An Edge-Assisted Semantic Communication Framework for Resource-Constrained Multi-Robot Systems | ||||||
Swarm robotics evolved from the study of social insect behaviour, and modern research has shifted its focus toward exchanging structured knowledge instead of raw sensor data. This paper proposes a swarm robotics framework that enables robots to exchange structured knowledge rather than raw sensor data, improving communication efficiency and collective decision-making. Swarm robots must work together to complete complex tasks; however, sharing raw sensor data between robots increases communication overhead. A knowledge-based approach instead allows robots to exchange only meaningful information, communicating more efficiently. A Swarm Knowledge Exchange (SKE) framework that uses AI.........
Swarm Robotics, Semantic Communication, Knowledge Capsule, MQTT, ESP32, YOLO, Edge AI, Multi-Robot Systems.
[1] R. Xue, J. Tan, F. Liu, J. Tong, T. Wang, and S. Wang, "From Raw Data to Shared 3D Semantics: Task-Oriented Communication for Multi-Robot Collaboration," arXiv preprint arXiv:2602.08624, 2026.
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Fatai Muideen Olabanji, Professor D. O. Aborisade, Kayode Olufunmilayo Ademola, Kazeem Oladimeji Leshi |
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| Development of a Home Energy Management System Using Fuzzy Logic and a Genetic Algorithm | ||||||
The increasing demand for electricity, rising energy costs, and frequent power outages have highlighted the urgent need for intelligent home energy management systems. This paper presents the design and implementation of a Home Energy Management System (HEMS) that combines Fuzzy Logic with a Genetic Algorithm (GA) to improve energy efficiency, reduce electricity costs, and ensure reliable power distribution. The system monitors household energy consumption, power source availability, and operating conditions in real time........
Home energy management; fuzzy logic; genetic algorithm; ESP32; load prioritization; renewable energy
[1] M. G. Julie and Song Sujatha, "Under frequency load shedding for energy management using ANFIS/case study," Int. J. Electr. Eng. Technol., vol. 4, no. 2, pp. 93-104, 2020.
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Venkata Krishna Teja Kolli |
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| Self-Healing AI-Enhanced Web Applications: A Runtime Observability and Recovery Framework | ||||||
Intelligent web applications increasingly depend on artificial intelligence for personalization, retrieval, natural-language interaction and task automation. These capabilities improve user experience but also introduce new runtime failures, including model uncertainty, stale context, broken user interface states, failed tool calls and inconsistent data flows. This paper proposes a Self-Healing AI-Enhanced Web Application framework that combines runtime telemetry, failure classification, policy-constrained repair planning and human review. The framework treats recovery as a controlled application workflow rather than an unrestricted model action........
.....
[1] B. Beyer, C. Jones, J. Petoff and N. R. Murphy, Site Reliability Engineering: How Google Runs Production Systems, O'Reilly Media, 2016.
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Deepak Kulyal, V. K. Verma |
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| Additive versus Multiplicative Neuron Surrogates for Predicting the Structural Response of Steel Roof Trusses | ||||||
Neural network surrogates can replace repeated finite element runs in the design of steel roof trusses, but the choice of neuron model is rarely tested under controlled conditions. This study compares an additive Multilayer Perceptron (MLP) with a Multiplicative Neuron Model (MNM) at matched capacity (211 and 196 free parameters). Both were trained on a parametric STAAD.Pro database of 46,140 Fink, Howe, Pratt and Warren trusses designed to IS 800:2007, with failing designs retained. Each network predicted eight continuous responses and the binary design status from nineteen inputs.........
steel roof truss; surrogate model; multilayer perceptron; multiplicative neuron model; STAAD.Pro; IS 800:2007
[1].
Chojaczyk, A. A., Teixeira, A. P., Neves, L. C., Cardoso, J. B. and Guedes Soares, C. 2015. Review and application of Artificial Neural Networks models in reliability analysis of steel structures. Reliability Engineering & System Safety, 136: 68–82.
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Asadov Khammed Asad, Asgarova Aytan Rafig |
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| Computational Modelling of Drug-Likeness, Absorption, Distribution, Metabolism and Putative Biological Targets of Ethyl Esters 4-Chlorethoxy (Aryl Phosphoryl) Acetic Acids | ||||||
This study presents an in silico evaluation of four synthesized organophosphate derivatives as potential drug candidates. Physicochemical properties, pharmacokinetic parameters, drug-likeness criteria, and predicted biological targets were assessed using SwissADME and SwissTargetPrediction platforms. All compounds demonstrated molecular weights below 500 g/mol, optimal topological polar surface area (62–66 Ų), moderate lipophilicity (Consensus LogP 2.28–2.83), and acceptable aqueous solubility. The BOILED-Egg model predicted high gastrointestinal absorption for all derivatives and potential blood–brain barrier permeability, with no indication of P-glycoprotein-mediated efflux..........
organophosphate derivatives; SwissADME; ADME; drug-likeness; blood-brain barrier; in silico analysis; Target Prediction
[1]
BoczkowskiM, PopielS, NawałaJ, SuskaH (2025) Molecules, 30(7):1615. https://doi.org/10.3390/molecules30071615
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Tunjung Atmadi, I Nyoman Artayasa, Ida Ayu Dyah Maharani, Ni Wayan Ardini |
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| Sustainable Post-Covid-19 Public Space in The Prambanan Temple Area, Central Java: A Social Design Practice Approach | ||||||
Pandemic-related changes in public-space use show that heritage sustainability depends not only on physical conditions but also on how social practices and management respond to changing needs. This study examines post-pandemic public space in the Prambanan Temple Area through a Social Design Practice approach. Qualitative data from interviews, observation, documentation, and focus group discussions were analyzed thematically with NVivo. Interpretation connects Lefebvre's theory of the production of space with Relph's place identity and Tuan's sense of place. Findings show that change in Prambanan.........
Adaptation, Heritage, Place Identity, Production of Space, Public Space
[1] H. Hartoyo and Santoni, "KriteriaruangpublikKalijodopendukungaksesibilitas dan peningkatanaktivitas," ARTEKS: Jurnal Teknik Arsitektur, 2(2), 2018, 113–124. doi:10.30822/arteks.v2i1.45.
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Dr Muvva Venkateswara Rao, Marthi Harshitha, Gadila Gowdeep Kumar, Gongalla Prem Kumar, Kondeti Jaswanth, Atti Dinesh Siva Varma |
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| Librivexa: An Intelligent Knowledge Discovery Platform Integrating Book Recommendations, Conversational Assistance and QR-Based Resource Access | ||||||
Traditional library management frequently depends on manual record maintenance, conventional search, and separate monitoring of issue, return, and overdue activities. This paper presents an AI-Enhanced Library Management System designed to combine core library operations with intelligent resource discovery and user-oriented assistance. The proposed platform provides role-based registration and login, book catalog management, search, issue and return processing, overdue detection, fine calculation, notifications, and report generation. An AI recommendation component uses user interests, borrowing history, searched categories, and interaction patterns to suggest potentially relevant books........
Artificial Intelligence, Library Management System, Book Recommendation, Machine Learning, Personalized Search, Library Automation, Database Management, Smart Library
[1].
Cox, A. M., Pinfield, S., & Rutter, S. (2019). The Intelligent Library: Thought Leaders' Views on the Likely Impact of Artificial Intelligence on Academic Libraries. Library Hi Tech, 37(3), 418–435.
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Nakka Narasimha Rao, Gollakoti Kumar Sai, Battu Greeshmu, Kotagiri Keerthana, Mallarapu Jaswanth, Cheepu Venkata Sai Murali |
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| QRISKSENTRA: A Real-Time QR Code Safety and Risk Detection System | ||||||
Digital payments are now part of everyday life, and the growing use of QR codes and online payment platforms has given fraudsters more room to work through phishing, malicious links and other financial scams.QRISKSENTRA is a security layer that checks QR-based payments for possible risks before the user goes ahead. Users can scan a QR code with their device camera or upload an image of it. The content is decoded with ZXing/jsQR and OpenCV and then examined for suspicious URLs, phishing patterns, malicious redirects, unusual payment details and links to high-risk betting or real-money gaming sites........
Digital Payments, QR Code Security, Fraud Detection, Phishing Detection, Machine Learning, Random Forest, Risk Analysis, FastAPI, PostgreSQL, Cybersecurity.
[1].
M. H. Abdullah, A. A. Zainuddin, and N. A. Rahman, "QR Code Security and Privacy Issues in Digital Payment Systems," International Journal of Advanced Computer Science and Applications.
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K. Krishna Sai Ujwal, K. Bala Bhavani, I. Shivani, K. Greeshmitha, B. Aravind, Ch. Sri Vallika |
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| TRAVQEN: Smart Journey Booking and Payment System | ||||||
Planning a trip today usually means hopping between several platforms: one to compare routes, another to check fares, a third to book the ticket and often a separate gateway to pay. TRAVQEN (Travel, Quick and Engine), a Smart Journey Booking & Payment System, pulls these scattered steps into a single web platform where a user can search, plan, book and pay for a trip without switching tabs or apps. Four AI-driven tools sit on top of a conventional search-and-book core: an AI Trip Planner that turns the source, destination, dates and preferences into ranked itineraries; an AI Budget Optimizer that keeps the plan within........
AI trip planner, budget optimization, replanning, chat assistant, secure payment
[1]. Borràs, J., Moreno, A. and Valls, A. 2014. Intelligent tourism recommender systems: A survey. Expert Systems with Applications, 41:16, 7370–7389.
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Dr. B. Renuka Chowdary, Vangamudi Girija Rama Mallika, Peddagamalla Gayathri, Yamarthi Cholan, Mente Swetha, Potti Harshith |
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| PLACENEXA: Unified Campus Placement and Career Management Platform | ||||||
Campus placement management connects students with employment opportunities and requires coordinated handling of student profiles, employer details, recruitment drives, eligibility information, applications and selection outcomes. When these activities rely on spreadsheets, paper forms and separate communication channels, information can become fragmented and repetitive work can increase. This paper presents PLACENEXA, a unified web-based campus placement and career management platform designed to centralize the major workflows for students and placement administrators.........
Campus Placement Management, Career Management Platform, Recruitment Workflow, Flask, MySQL, SQLAlchemy, Session Authentication, Web Application.
[1] M. Grinberg, Flask Web Development: Developing Web Applications with Python. O'Reilly Media.
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Kambhumpatu Sai Ujwal, Tadiparthi N S D Mounika, Musunuri CH N Maha Lakshmi, Kancharla Tagare Palaksha Yuvaraj, Tatimakula Ruttwik |
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| LexNova: Legal Navigator for Smart Business Management | ||||||
Small and medium enterprises (SMEs) must comply with a growing body of business law covering company registration, taxation, labour, intellectual property, data protection and commercial contracts. Most SMEs cannot afford continuous legal counsel, so compliance gaps, missed deadlines and poorly drafted agreements expose them to penalties and disputes. This paper presents LexNova, an AI-assisted legal navigator for smart business management. LexNova combines a curated legal knowledge base, retrieval-augmented question answering, contract clause analysis and a compliance risk engine in a single platform. A legal risk-impact methodology is developed that applies the principles.........
Legal technology, Smart business management, Retrieval-augmented generation, Contract analysis, Compliance risk assessment, Fuzzy decision making.
[1].
Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Aletras, N. and Androutsopoulos, I. 2020. LEGAL-BERT: The Muppets straight out of Law School. Findings of the Association for Computational Linguistics: EMNLP 2020, 2898–2904.
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Ale, M.O., Abisuwa, T. A., Olusholade, M. A.,Kareem, K. M., Aiku O. J., Aturu O. S. |
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| Effects of Travel Speed and Wheel Type on The Field Capacity, Field Efficiency and Wheel Slippage of A Single-Row Self-Propelled Cassava Planter | ||||||
Travel speed and drive-wheel characteristics are important factors influencing the field performance and planting uniformity of farm machinery. This study was carried out to examine the effects of travel speed and drive-wheel type on the field capacity, field efficiency and wheel slippage of a single-row self-propelled cassava planter. The experiment was conducted at the Teaching and Research Farm of Rufus Giwa Polytechnic, Owo, Ondo State, Nigeria, using rigid and pneumatic drive wheels. Five travel speeds of 1.3, 1.5, 1.7, 2.0 and 2.4 km h⁻¹ were used on well-tilled soil at a furrow depth........
Cassava planter, travel speed, drive wheel, field capacity, field efficiency, wheel slippage.
[1]. Ademosun O. C. 1986. Determination of the optimum capacities of farm machines to adapt for a medium-scale multi-crop production. Agricultural Systems. 21:33-57.
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Dr. Chaintanya Kishore Reddy Maddireddy, Boddupalli Naga Sai Vignesh, Gangula Magadeesh, Gogireddy Keerthy Reddy, Gope ChandraMouli, Dandiboyina Sharan Kumar |
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| Comparative Analysis of Regression Algorithms for Housing Price Prediction | ||||||
Housing price estimation is a regression problem in which geographic, demographic, and housing attributes interact to influence property value. This paper presents a web-based system that trains and compares six regression approaches—Linear Regression, Ridge Regression, Random Forest, Gradient Boosting, K-Nearest Neighbours (KNN), and XGBoost—using the California Housing dataset. The workflow combines data cleaning, feature engineering, train–test separation, model evaluation, persistence of trained estimators, and a Flask interface for interactive prediction. Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and coefficient of determination (R²) are used to assess predictive performance........
housing price prediction, regression, Random Forest, XGBoost, California Housing, Flask, model evaluation.
[1] A. E. Hoerl and R. W. Kennard, "Ridge Regression: Biased Estimation for Nonorthogonal Problems," Technometrics, vol. 12, no. 1, pp. 55–67, 1970.
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Nguyen Thi Phuong Mai |
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| Factors affecting the efficiency of Vietnam's coal export supply chain | ||||||
This study analyzes the factors affecting the efficiency of Vietnam's coal export supply chain in the context of increasingly coordinated mining, screening, warehousing, port operations, and international trade. Based on supply chain management theory, resource-based and dynamic capability perspectives, the paper examines five groups of factors: logistics infrastructure capacity; information sharing; supply chain cooperation; logistics digitalization; and adaptability to market and institutional conditions. The research results show that the efficiency of the export supply chain is not determined.........
Export supply chain; Coal industry; Logistics; Vietnam.
[1].
Belov, G., Boland, N.L., Savelsbergh, MWP, & Stuckey, P.J. (2020). Logistics optimization for a coal supply chain. Journal of Heuristics, 26(2), 269-300. https://doi.org/10.1007/s10732-019-09435-8
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Alhassan Mohammed, Muhammad Muhammad Inti, Jamilu Mustapha Chedi, Samaila Hamza |
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| Objectives And Content Required for Developing a Thinking-Based Learning Module in Fabrication and Welding in Technical Colleges in North-Central Nigeria | ||||||
This study determined the objectives and content required for developing a Thinking-Based Learning (TBL) module in fabrication and welding in technical colleges in North-Central Nigeria. The study was motivated by the need to integrate higher-order thinking skills with practical and technical competencies in fabrication and welding instruction. A Research and Development (R&D) design was adopted for the study. Two objectives, two research questions, and two corresponding null hypotheses guided the study. The population comprised 52 respondents, consisting of 31 fabrication and welding teachers in technical colleges and 21 industrial personnel in North-Central Nigeria.........
Thinking-Based Learning, instructional objectives, content required, fabrication and welding, technical colleges, module development, North-Central Nigeria.
[1].
Aminu, A., & Nasiru, M. (2025). Effects of project-based learning strategy on performance and retention in metalwork among students in technical colleges of Katsina State, Nigeria. Federal University Gusau Faculty of Education Journal.
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Anyadiegwu P. C. |
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| Independent validation of harmonic tidal predictions at Lagos Harbour Nigeria | ||||||
Tidal predictions support sounding reduction and coastal operations, yet their errors require evaluation on observations excluded from model fitting. This retrospective study assessed hourly tidal predictions at the Lagos tide station, Nigeria, using the University of Hawaii Sea Level Center research quality hourly record. A fixed-frequency, ten-constituent harmonic regression was fitted to 13,897 valid hourly observations from 1993–1994 and tested against 7,034 valid observations from 1995. The archive is referenced to local tide staff zero; timestamps are reported in UTC...........
tide gauge; Lagos Harbour; harmonic regression; out-of-sample validation; prediction residual; hydrographic surveying.
[1].
Badejo, O. T., & Akintoye, S. O. (2017). High and low water prediction at Lagos Harbour, Nigeria. Nigerian Journal of Technology, 36(3), 944–952. https://doi.org/10.4314/njt.v36i3.39
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Jimmie Manning |
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| Engineering a Culture Jam: Methodology, Ethics, and Practice | ||||||
Culture jamming has traditionally involved appropriating and redirecting familiar cultural signs, messages, and representations to expose the power relations they sustain. This article extends culture jamming from symbolic representation to organizational process by developing the concept of organizational culture jamming. Organizational culture jamming is defined as a bounded critical praxis that strategically participates in, redirects, or perturbs an organizational process to make ordinarily obscured logics, contradictions, vulnerabilities, or exploitative possibilities observable...........
culture jamming; organizational culture jamming; critical praxis; organizational communication; communication methodology; organizational processes; critical methods; resistance; ethics
[1].
Cammaerts, B. 2007. Jamming the political: Beyond counter-hegemonic practices. Continuum: Journal of Media & Cultural Studies 21(1), 71–90. DOI: 10.1080/10304310601103992.
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