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14th International Conference On Business, Technology And Innovation 2025, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2025

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

Synergistic Effects Of Orifice Geometry And Inclination Angle On The Damping Performance Of Tuned Liquid Column Vibration Absorbers, Mohamed M. Abou Elenin, Younes K. Younes, Mohamed F. Younes

Mansoura Engineering Journal

This study experimentally investigates the dynamic damping performance of passive tuned liquid column vibration absorbers (TLCVAs), focusing on the influence of vertical column inclination angle and orifice disc configuration. Free vibration tests were conducted on a primary system equipped with a TLCVA using a custom-designed test rig. The experimental framework systematically varied inclination angles from to and tested both single-hole and multi-perforated orifice discs, each designed with an equivalent total flow area. A MATLAB-based signal processing framework was employed to analyze time-domain responses, and the logarithmic decrement method was applied to determine the damping ratio of the primary system. The …

Tableau Part Ii - October 2025, Rubab Shahzad

Day Family Research Lab Workshop Series

Part Two of Introduction to Tableau. Learn to make cool visualizations using Tableau. A hands-on opportunity where we will go over calculated fields, hierarchies, unions, dashboards, and stories.

Prior experience with Tableau is recommended

Climate Change Projections Through Optimized Machine Learning And Deep Learning Models: A Comprehensive Analysis, Hala H. Youssef, Salma S. Mohammed, Hanan M. Amer, Abeer T. Khalil

Mansoura Engineering Journal

One major worldwide issue that has far-reaching effects on environmental stability and the avoidance of natural disasters is climate change. Developing efficient mitigating strategies depends on precise climate change forecasts. To predict important climate change indicators, including temperature fluctuations, greenhouse gas (CO2, N2O, CH4, and SF6) emissions, population dynamics, sea level changes, Arctic Sea ice extent, and Antarctica mass, this study evaluated the predictive capabilities of several Machine Learning (ML) and Deep Learning (DL) techniques. The set of machine learning algorithms includes Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Support Vector Machines (SVMs), Artificial Neural Networks (ANN), Random Forest (RF), …

Evaluation Of Different Design Standards For The Design Of Axial Loaded Concrete Filled Steel Tube Columns Under Fire, Ebtsam Youssef Ibrahim Abd El Ghaffar, Nabil Said Mahmoud, Fikry A. Salem, Mohammed. M. Ghannam

Mansoura Engineering Journal

This paper compares various codes and standards for the behavior of “Concrete-Filled Steel Tubes” (CFST) columns under fire and axial load. The codes evaluated include European standards (EC4.2 and EC3.2), the American standard (AISC 360), and the Australian standard (AS/NZS 2327). The fire resistance of Concrete-Filled Steel Tubular (CFST) and steel hollow (SH) columns was assessed using a computer program developed with Visual Studio .NET. The program's results were compared with previous experimental data to evaluate the accuracy of various codes and standards in predicting the behavior of these columns under fire conditions. This study highlights the importance of selecting …

The Impact Of Off-Site Manufacturing Technology On The Project Management Triangle In The Saudi Housing Sector, Saad S. Almady, Ahmed M. Alhazmi, Essam S. Almahmoud

Mansoura Engineering Journal

This study examines the impact of Off-Site Manufacturing (OSM) and construction sites on housing projects in the Kingdom of Saudi Arabia. The study aims to strike a balance between achieving the highest quality, lowest cost, and expedited construction of housing units. OSM technology involves the production of construction components outside the site, followed by their transportation and installation on the final site. The study seeks to assess the contribution of OSM’s utilization in enhancing project performance, measured against the project management triangle (quality, cost, and time), and compare it with the traditional construction method. To achieve this objective, a residential …

Creating Intergenerational Connections: A Multilevel Approach For Enriching Lives And Addressing Vital Community Issues, Matthew S. Kaplan, Nancy Z. Henkin

Journal of Human Sciences and Extension

This article presents an overview of intergenerational programs and practices as an interdisciplinary field of inquiry and practice that fosters open communication, support, and civic engagement across generations. Numerous examples of how intergenerational programs and practices harness age diversity to improve the human condition are presented. This includes initiatives to promote healthier lifestyles, reduce social isolation and loneliness, strengthen families, enrich education and lifelong learning, enhance community quality of life, and transmit cherished cultural traditions and values. This article highlights Extension’s longstanding contributions to intergenerational programming, showcasing notable examples across program areas and exploring opportunities for deeper engagement, co-leadership, and …

77 | Khirbat ‘Amra: A Rural Site From The Hellenistic To Early Islamic Periods In The BeʼEr Sheva‘ Valley, Itamar Taxel, Noé D. Michael

IAA Reports—Monograph Series of the Israel Antiquities Authority

This volume constitutes the final report of the large-scale salvage excavations directed by Gil Tahal on behalf of the IAA in 1993–1994 at the site of Khirbat ‘Amra, in the north-central area of the Be’er Sheva‛ Valley. The excavations revealed architectural remains and finds dated mainly to the Hellenistic until the Early Islamic periods, in addition to scantier remains or isolated finds from the Chalcolithic period, the Iron Age II and the Ottoman period. Khirbat ‘Amra is one of the largest multiperiod sites in the Be’er Sheva‛ Valley, specifically in the Byzantine and Early Islamic periods. Furthermore, Tahal’s excavations were …

Chacahoula 2025, Volume 92, Alayna Pellegrin

Chacahoula

The 2025 issue of Chacahoula includes December 2024 and May 2025 graduating classes, as well as stunning photography student life on the banks of Bayou Desiard. With features covering students, faculty, and staff, this year's time capsule preserves an academic year in the life of the University of Louisiana at Monroe.

Comparative Study For Channel Pairing In Noma Ofdm- Cdma System, Hazem H. El-Banna, Nelly M. Shafik

Mansoura Engineering Journal

Orthogonal Multiple Access such as OFDM technique became inadequate scheme since it provides limited spectral efficiency and limited number of users. In addition to Orthogonal Multiple Access (OMA), Non-Orthogonal Multiple Access (NOMA) technique is applied in 5th generation of mobile communications that enhances both spectral efficiency and capacity with high Quality of Service (QoS). In this paper, three techniques were combined NOMA, OFDM, and CDMA in order to have optimal system performance in the presence of worst fading channel situations; fast frequency selective Rayleigh multi-path fading channel. The main contribution of this paper is the novel channel pairing technique introduced …

An Estimation Study Of The Co2 Emissions In Saudi Arabia Using Machine Learning, Mohammed A. Albalawi, M.M. El-Halwany, Mahmoud H. Mahmoud, Mohamed Gar Alalm

Mansoura Engineering Journal

As part of the 2015 Paris Climate Agreement, the Kingdom of Saudi Arabia (KSA) pledged to implement policies aimed at reducing greenhouse gas emissions. The 2030 Vision, which KSA unveiled with the goal of building a more sustainable and diverse economy, led to a number of projects, such as the national renewable energy program, the Saudi green initiative, and the circular carbon economy. Additionally, KSA just revealed a bold plan to achieve net-zero status by 2060. The Kingdom pledged to cut its carbon emissions by 278 million tons of CO2eq (equivalent) yearly by 2030 in its revised nationally determined contribution …

The Impact Of Public Relations Strategies On The Effectiveness Of Epidemic Management In Jordan: A Case Study Of Covid-19, Hazem Jamil Al-Rahahleh

Middle East Journal of Communication Studies

This study aimed to explore the impact of public relations strategies on the effectiveness of epidemic management in Jordan, using the COVID-19 pandemic as a case study. The study employed the descriptive-analytical method, which is based on the systematic description and interpretation of social and media phenomena. The findings revealed that public relations play a pivotal strategic role in managing health crises by building public trust, preparing communication plans, and formulating awareness messages in coordination with relevant authorities. The study recommended the need to enhance the training of public relations personnel in managing communication during health crises, to continue diversifying …

An Investigation Of Hydro-Morphological Changes At The Estuarine Outlet Of Kitchener Drain, Northern Coast Of Egypt, Nada Mansour, Karim Nassar, Mahmoud El-Gamal, Tharwat Sarhan

Mansoura Engineering Journal

In recent years, sedimentation and coastline erosion have occurred in the Kitchener Drain, where its outflow meets the Mediterranean Sea. Several measures have been taken to mitigate the impact of these problems. Excavation continues toward the drain's outlet, and there have been multiple stages of hard protection work, such as groins along the drain's eastern and western banks. What would happen if the working near the drain was kept, where accretion and erosion are most severe. The Coastal Modelling System (CMS) was used to find it out. The two-dimensional hydrodynamic circulation model known as the CMS is outfitted with modules …

Novel Nano-Composite Materials (Nncms) With The Designations J1, J2, And J3 For Removal Several Harmful Ions, Mohammed K. Al-Doseri, Safaa. R. Fouda, Mohamed Mossad, Mahmoud H. Mahmoud

Mansoura Engineering Journal

The most toxic material to the environment is heavy metals. remove heavy metals from wastewater is done by adsorption. Many papers have been done using different materials to take off toxic dangerous ions from wastewater. Noval Nano-composites material (NNCM)as designated as J1, J2, and J3 the most used adsorbents in this study. To conduct the experiments, synthetic wastewater was generated in the lab. Batch experiments were conducted to create the best conditions for removing these ions from the wastewater. The optimum conditions obtained were 90 min optimum contact time, and pH equal seven, optimal NNCM dose was 0.5 g/L achieving …

Humanizing Cities As An Approach For Solving Cities' Problems To Be More Livable, Kareem Mahrous Ali

Mansoura Engineering Journal

Most people around the world want to move from the countryside to the cities or from one city to another that provides them with all their human needs for a better life. The dream may come true for them or turn into a nightmare for reasons related to general problems facing most cities in the world, such as the high cost of living and the absence of social justice, these problems cause an increase in poor families, or the issue of refugees and the inability of some cities to welcome them, the energy crisis, and the challenges of climate change …

The Future Of The Arab Media Industry In Utilizing Artificial Intelligence Technologies: A Foresight Study (2024 To 2034), Mohammedwesam Amer, Abdullah Mohammed Atbiqa

Middle East Journal of Communication Studies

This study explores the future of the Arab media industry from 2024 to 2034 in light of the increasing integration of artificial intelligence (AI) technologies. It identifies key media sectors likely to be affected by AI—such as content creation, news production, editing, and audience engagement—and proposes strategies for effective implementation. The study employs a descriptive survey methodology grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected via an electronic questionnaire from a purposive sample of 264 respondents across 18 Arab countries, including academic elites and media professionals working with Arab media institutions. Findings reveal …

08.11.2025 Ored Connect, Liz Williamson

ORED Newsletter

F and A rates

ORED Research Reception

NSF Audit Final Resolution and Compliance Updates

The Legal System For Influencers On Social Media Platforms: A Comparative Study, Ahmad Ibrahim Ballal, Najem Riyad Al-Rabadi, Ma’Moun Rashed Al-Huneiti

Middle East Journal of Communication Studies

This study explores the legal regulation of social media influencers through a comparative analysis between French and Jordanian legislation. The research problem lies in the absence of a clear and comprehensive legal framework regulating influencers' growing role in shaping public opinion. Using the comparative analytical method, the study examines relevant legal texts and regulatory approaches in both jurisdictions. The findings highlight significant differences, with France enacting a specific law to govern influencer activities, while Jordan still relies on general legal provisions. The study recommends drafting a dedicated Jordanian law that outlines influencers' legal responsibilities and balances freedom of expression with …

Representations Of The Other In Hamas's Media Discourse During The "Al-Aqsa Flood" Operation: A Rhetorical Analytical Study, Enad Mamdouh Al-Zaben, Sabah Al Harahsheh

Middle East Journal of Communication Studies

This study aimed to determine how the Hamas movement represented the "other" in its media discourse during the "Al-Aqsa Flood" operation. To achieve this goal, the study relied on the qualitative analytical approach, specifically rhetorical discourse analysis. The study sample included all Hamas's media spokesman speeches, between October 7, 2023, and January 1, 2024, numbering 11 speeches. The study results showed that Hamas's media discourse focused on portraying two main groups: "us" and "them." The "us" group included the Palestinian people in all their spectra. They were referred to using terms with positive connotations such as: "the steadfast," "the one …

Navigating Transportation Barriers: Older Adults’ Familiarity With New Mobility Options And Perceptions Toward Autonomous Vehicles In Arkansas, Arna Nishita Nithila, Suman Kumar Mitra, Michelle Gray, Alishia Juanelle Ferguson, Jennifer D. Webb

Civil Engineering Faculty Publications and Presentations

The objective of this study is to analyze older adults’ familiarity with new transportation options (ride-hailing services, bike-share services, and shared e-scooter services) and their perception towards autonomous vehicles (fully autonomous cars), as well as how transportation barriers influence their familiarity and perceptions, in Arkansas, a predominantly rural state. Data from 775 older adults aged 60 years or older were collected between October 2021 and October 2022. To fulfill the study objective, the study used Latent Class Cluster Analysis to segment older adults into classes based on their familiarity with new transportation options and their perceptions of autonomous vehicles. The …

76 | Maresha Iv: The Subterranean Complexes Of The Hellenistic City, Ian Stern

IAA Reports—Monograph Series of the Israel Antiquities Authority

This volume provides an archaeological study of 152 subterranean complexes at ancient Maresha, including an overview of the site, geological background, typological analysis of chamber types, and documentation of all surveyed installations. Two brief excavation reports offer insights into material culture and daily life during the Hellenistic period. Carved decorative elements—such as niches, altars, reliefs, and betyls—highlight religious diversity and cultural syncretism among Maresha’s residents. Twenty-one inscriptions, mostly Greek with three Semitic, provide rare direct evidence of the activities, identities, and experiences of individuals who used these underground spaces, adding a human dimension to the material findings. Special attention is …

The Role Of Expansion Joints In Long Concrete Buildings, Salah Salem, Mohamed E. El Madawy, Basem S. Abdelwahed, Mohamed E. El-Zoughiby

Mansoura Engineering Journal

The use of expansion joints in lengthy concrete buildings aims to mitigate forces induced by temperature changes and is often derived through empirical methods. These methods lack the depth needed for universal application in any building. On the other hand, adopting a no-joint strategy necessitates a thorough thermal analysis of temperature changes, a subject that has not been extensively explored in existing literature. There are no methodologies available, and the current guidelines rely on approximate calculations; thus, there is a need for clear directives on these two matters. This paper produces a procedure for performing thermal analyses of long concrete …

Coal Mining Reclamation: Lessons Learned From Tropical And Subtropical Countries, Priyaji Agung Pambudi, Suyud Warno Utomo, Roni Setyo Handoko

Journal of Environmental Science and Sustainable Development

This study addresses the persistent environmental challenges associated with coal mining in tropical and subtropical regions, where complex microclimates and ecological variability hinder effective reclamation. Despite the increasing global coal demand, comparative cross-country insights remain limited. This research fills the gap by evaluating the best practices. This study employs a qualitative methodology with a comparative case study design, uses systematic literature review to evaluate ecology based reclamation policies and implementation practices. Data were sourced from peer-reviewed journals from Scopus and the Web of Science database and institutional reports, and analyzed using McHarg’s landscape ecology theory to evaluate reclamation policies, ecological …

Optimal Water Hammer Protection Strategies For Low-Head Hydraulic Systems: A Case Study Using Bentley Hammer, Ahmed A. Abdel-Naby, Mostafa A. Abdel-Moaty, Eslam R. Lotfy

Mansoura Engineering Journal

The analysis of water hammer in low-head hydraulic systems holds significant importance compared to that in high-head systems, particularly given instances where Thorley’s equation may fall short in providing accurate pump inertia values. In situations where manufacturer data are unavailable, proactive measures to mitigate potential hammering incidents become imperative. While Bentley HAMMER software provides robust simulation capabilities, optimal protection strategies for low-head systems remain underexplored. This case study focuses on a scenario involving multistage centrifugal pumps that lift water from the basement floor of a building to its roof via a polypropylene pipeline. The investigation revealed a novel configuration: relocating …

Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein

Mansoura Engineering Journal

Global warming is pressing issue, primarily driven by increasing in greenhouse gas emissions with CO2 accounting for 64% of total emissions. It was founded that produce one ton of Ordinary Portland Cement (OPC) producing one ton of CO2. To address these issues, geopolymers derived from fly ash (FA) have been proposed as a superior alternative to cement. This research presents a comparative review of OPC and FA-based geopolymers in the context of CO2 sequestration. The research investigates the behavior of FA-based geopolymer cement, focusing on the influence of preparation conditions on its mechanical performance, bond strength, and the effect of …

Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra

Mansoura Engineering Journal

With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …

A Comprehensive Study Of Transportation Projects Impact In Congested Cities Through Travel Demand Modeling And Decision-Making Tools: A Case Study Of Zagazig City, Egypt, Amr M. Sakr, Metwally Gouda Mohamed Altaher, Mahmoud El-Saied Ali Solyman, Mohamed Ibrahim El-Sharkawi Attia

Mansoura Engineering Journal

Transportation projects are major resource-intensive projects that largely influence the transportation system’s resilience, human health, and quality of life. This study aims to assess and prioritize four transportation projects in Zagazig City, Egypt, in an attempt to build a more sustainable transport system. The travel demand model is used to determine various traffic characteristics and environmental impacts, and decision-making tools are used to evaluate the proposed projects. Benefit-cost analysis (BCA) is employed to investigate the economic feasibility of the proposed projects, and two hybrid multiple-criteria decision-making (MCDM) methods are used to prioritize the proposed projects. Through the work conducted in …

A Deep-Learning-Based Dehazing Framework For Non-Homogenous Scenes, Shimaa Mohammed Abd Elghany, Doaa A. Altantawy, Hossam El-Din Moustafa Moustafa

Mansoura Engineering Journal

The advancement of single-image dehazing techniques has been rapid in recent years. Several existing algorithms that are based on deep learning have shown remarkable efficiency for dealing with homogeneous hazing-free issues, but convolutional neural networks (CNNS) frequently fail on non-homogeneous dehazing datasets. Meanwhile, dehaze results from dense haze regions are often blurry because the information of these regions is typically unknown and difficult to estimate. To address these issues, an efficient image enhancement dehazing algorithm that utilizes deep learning techniques, and a non-uniform atmospheric scattering model had been proposed. Unlike the majority of existing dehazing methods, the medium transmission function …

Collaborative Class Zine: Weekly Reflection Assignment With Powerpoint Template, Brett Whysel

Open Educational Resources

Abstract

This collaborative class zine assignment uses a shared PowerPoint format to deepen student learning while building community. Students contribute visual reflections (graphics, diagrams, quotes, or doodles) weekly or periodically throughout the semester. Faculty provide reflection prompts about key takeaways and unclear concepts (sample prompts included). The resource includes both sample LMS instructions and a ready-to-use PowerPoint zine template that works across all disciplines. By combining metacognitive reflection with creative expression, students consolidate learning by finding new connections and applications. The collaborative format creates community connections and joy while students learn from peers' diverse perspectives.

The Effect Of Transformer Based Pre-Trained Language Models On Biomedical Relation Extractions, Eman Saad, Sherif Kishk, Amr Ali-Eldin, Ahmed I. Saleh

Mansoura Engineering Journal

Biomedical relation extraction represents a critical advancement in healthcare research. As the volume of biomedical publications continues to grow exponentially, efficient extraction of entity relationships has become essential for accelerating knowledge discovery, drug development, and precision medicine initiatives. The field has evolved from focusing on simple binary relations, such as Protein-Protein Interactions (PPI), which are fundamental to understanding cellular processes and therapeutic development, to addressing more complex multi-class classification challenges like Drug-Drug Interactions (DDI) and Chemical-Protein Interactions (CPI).Pre-trained language models have become the cornerstone of modern approaches of extracting biomedical relations. Models like BioBERT, PubMedBERT, and SciBERT, along with general-purpose …