Physiological And Neurological Impact Of Biophilic Design In Architectural Design Studios: A Case Study Of King Salman International University, Islam Ashraf Mohamed, Alaa El-Eishy, Marwa A. Soliman

Mansoura Engineering Journal

Biophilic design integrates nature into architecture to enrich sensory and cognitive experiences, enhance psychological well-being, and improve performance. This study explores its physiological and neural effects in design studios at King Salman International University through an experimental methodology combining theoretical review and lab-based investigation. Tools included electrocardiography (ECG) for heart rate variability (HRV), eye-tracking for visual attention, and the Self-Assessment Manikin (SAM) for emotional evaluation. Nine participants viewed five digital architectural scenes with varying biophilic integration. Direct nature connections elicited greater visual attention, pleasure, and perceived control, indicating higher engagement and relaxation.  A scene lacking biophilic elements led to reduced …

Optimized Deep Learning Framework With H2o For Lung Cancer Prediction, Walaa Hassan Ibrahim, Mohamed S. Saraya, Sally M. Elghamrawy, Ali I. Eldesouky

Mansoura Engineering Journal

The automatic diagnosis of lung cancer using chest X-ray (CXR) images has significantly advanced with progress in computing, machine learning, and deep learning. However, detecting lesions and nodules remains challenging due to CXR limitations. Early lung cancer detection is critical for successful treatment, but current AI algorithms often rely on large annotated datasets, which are not always available. To address this, a novel multi-classification deep learning framework is proposed that combines CXR and CT images. This approach leverages the detailed feature detection capabilities of CT scans alongside the complementary views from CXRs, improving early-stage lung cancer detection and classification precision. …

Triphenylmethane-Derived Levelers For High-Speed Redistribution Layer Copper Electroplating Of Tailored Surface Morphologies, Zi-Hao Song, Wei-Bin Wang, Xiao-Hui Liu, Xiao-Min Han, Yi Zhou, Rui Huang, Yan-Xia Jiang, Zhe Li, Xiao-Wei Liu, Mei-Ling Xiao, Hong-Gang Liao, Wei-Lin Xu, Rong Sun

Journal of Electrochemistry

Redistribution Layer (RDL), composed of layered dielectrics and electroplated copper materials, is a basic structure to rearrange numerous I/O pads on the chip surface in wafer-level advanced packaging. As the key chemicals in electrolyte baths, electroplating additives have undergone continuous development to meet the industrial needs for high-speed and fine-line/fine-pitch applications. Meanwhile, the intricate relationships between additive chemical structures and electroplated copper properties are yet to be well understood. In this work, a pair of triphenylmethane-based dye molecules, i.e., gentian violet (GV) and methyl green (MG), was comparatively investigated as levelers for high-speed RDL copper electroplating. Compared to GV, significantly …

Evaluating Domains' Trustworthiness Based On Uncertainty-Driven Methodologies In The Era Of Sixth Generation, Zekra Sakr, Mona Mohamed

Neutrosophic Systems with Applications

The onset of today's innovations pledges to have a beneficial influence on contemporary civilization in an era of intelligent revolutions, setting a precedent for unrivaled efficiency, creativity, and connectedness. The integration between these technologies contributes to the mutual benefit of each one, wherein this relation is a so-called ``reciprocal partnership''. For instance, the sixth generation (6G) wireless networks permit blockchain nodes to coordinate huge volumes of transaction data in real-time. On the other hand, blockchain is considered a secure valve because spectrum sharing can be automated with blockchain and smart contracts. Accordingly, analyzing and evaluating the contribution of these technologies …

Neutrosophic Finsler–Cohomological Framework For Engineering Systems Under Uncertainty, Mona Gharib, Ghulam Muhammad, Muhammad Idrees, Zeeshan Gul

Neutrosophic Systems with Applications

This paper introduces a novel mathematical framework that combines Neutrosophic Finsler Geometry with Neutrosophic Cohomology for evaluating the performance of Brushless Direct Current (BLDC) motors under uncertain and indeterminate operating conditions. Classical motor performance models typically assume precise measurements of torque, current, and efficiency; however, in real-world settings, these parameters are often affected by noise, incomplete information, and conflicting observations. By embedding motor operating states into a neutrosophic Finsler space, the proposed approach captures variations not only in magnitude but also in direction, uncertainty, and conflict of performance metrics. In addition, neutrosophic Cohomology is employed to characterize global invariants of …

An Uncertainty-Aware Entropy-Oreste Framework For Big Data Platform Selection In Complex Multi-Sector Environments, Ahmed M. Ali, Ibrahim Alrashdi, Karam M. Sallam

Neutrosophic Systems with Applications

The increasing reliance on Big Data platforms across various industries has necessitated the development of systematic decision-support frameworks to guide their evaluation and selection. Given the diversity of available platforms, each offering different capabilities, scalability, and computational efficiency, choosing the optimal solution remains a complex challenge. This research proposes a novel analytical framework that integrates Spherical Fuzzy Sets (SFS) with the Entropy and ORESTE methods to address uncertainty and enhance the accuracy and robustness of Big Data platform evaluation. This hybrid integration, not previously applied to Big Data platform selection, enables objective criteria weighting through the Entropy method and comprehensive …

A Pathfinder Lunar Construction Mission Concept Using Regolith Filled Bags, Cameron S. Dickinson, Fu Nan Shi, Ketan Vasudeva, Rudranarayan M. Mukherjee, Joshua Blanchard, Steve Dubrule, Paul Van Susante, Et Al.

Michigan Tech Publications

Two challenges that have a permanent presence on the Moon are solar and cosmic radiation, as well as the large surface temperature variation between lunar day and night. To address these problems, we propose a lunar pathfinder mission concept that uses robotic systems to investigate whether regolith-filled bags can be used as a versatile construction medium for lunar surface structures and sensors to obtain data on the lunar regolith. The primary objectives of this mission are as follows: evaluation of the surface and subsurface regolith as fill material, lunar excavation using a robotic manipulator equipped with a bucket scoop, bag …

Nanoscale Opportunities In Extracellular Matrix Mimicry, L. Andrew Lyon, Abbygail Caine, Elif Narbay, E. Daniel Cárdenas-Vásquez

Engineering Faculty Articles and Research

We present an overview of the composition, function, energetics, and dynamics of extracellular matrix and its relation to nanoscale structures and phenomena. These concepts are then related to the development of synthetic and biosynthetic materials that aim to mimic the extracellular matrix for regenerative medicine and tissue engineering technologies. Notable successes and advancements towards the goal of biomimicry are outlined, while remaining challenges and knowledge gaps towards that goal are highlighted. Finally, we frame the remaining challenges in the field in terms of nanoscience-related research opportunities that if solved, might prove to be transformative steps forward in the discipline.

Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control And Elephant Herding Optimization, Ehab Bayoumi

Mechanical Engineering

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Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control and Elephant Herding Optimization

Machine Learning–Driven Prediction Of Dementia From Mri And Clinical Features: A Comparative Analysis Of Ensemble And Baseline Models, Sarah Raad Hameed, Zainab Muhannad Nahid, Rawan Ahmed Abdulmahdi

AUIQ Technical Engineering Science

Early detection of dementia remains a pressing challenge in clinical neuroscience, as delayed diagnosis limits therapeutic impact and healthcare planning. Leveraging the Open Access Series of Imaging Studies (OASIS) cross-sectional dataset of 436 participants, this study developed a robust machine learning pipeline integrating sociodemographic, clinical, and neuroimaging-derived features. Preprocessing included removal of highly sparse variables (Delay), median imputation of partially missing but clinically essential measures (SES, MMSE, CDR, Educ), Winsorization of extreme values, and skewness correction. The target Clinical Dementia Rating (CDR) was binarized (0 = no dementia, ≥ 0.5 = dementia) to align with clinically actionable screening. Categorical features …

Integrating Sustainable Material Procurement In Construction Waste Management: A Systematic Review With Narrative Synthesis For The Libyan Construction Sector, Ramzi Fouzi Hamad Abdullah, Safaa N Saud Al-Humairi, Zunirah Binti Mohd Talib

Journal of Sustainable Construction Materials and Technologies

Integrating sustainable material procurement with construction waste management is essential to reduce construction and demolition waste in Libya, where current practices remain largely reactive and disposal-oriented. This narrative review aims to develop a conceptual framework linking procurement decisions to waste-generation pathways in Libyan construction projects, clarifying how proactive, sustainability-driven purchasing can serve as a primary driver of waste prevention. Using a PRISMA-guided systematic search of Web of Science, Scopus, and IEEE Xplore for 2001–2026, and a bibliometric analysis via VOSviewer, 956 high-quality studies were synthesized to map global knowledge and to expose the paucity of integrated SMP–CWM studies in developing …

Nanoparticles May Improve How Antiviral Compounds Are Delivered For Herpes Virus 1, Emilia Huff

Research on Capitol Hill

HSV-1, a strain of herpes, infects the majority of adults in the US and has been linked to neurological damage.

Advances In Real-Time American Sign Language Recognition System Using Deep Learning Techniques For Enhanced Accessibility, Bader Alsharif

Electronic Theses and Dissertations 2020 - Present

Advancements in technology have significantly contributed to the development of innovative tools aimed at improving communication and accessibility for individuals with hearing impairments. This dissertation explores various machine learning and deep learning techniques for recognizing American Sign Language (ASL) gestures, focusing on enhancing accessibility and bridging the communication gap between hearing-impaired and hearing individuals. Traditional machine learning models, such as Random Forest, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN), alongside deep learning architectures like AlexNet, ResNet-50, EfficientNet, ConvNeXt, and VisionTransformer, were investigated for their effectiveness. Experiments conducted on an extensive dataset of 87,000 ASL gesture images revealed exceptional recognition …

Machine Learning For Elderly Behavior And Risk Incident Modeling, Muhammad Tanveer Jan

Electronic Theses and Dissertations 2020 - Present

The rapid expansion of the aging population presents critical challenges to healthcare systems, particularly in maintaining independent living, ensuring mobility safety, and optimizing emergency interventions. Traditional monitoring solutions are often fragmented, reactive, and hindered by the scarcity of data regarding rare high-risk events. This dissertation proposes a comprehensive, multi-modal machine learning framework designed to model elderly behavior and predict risk incidents across three critical environments: the home, the vehicle, and the clinical setting.

To address the fundamental challenge of class imbalance in medical and behavioral datasets—where risk events are statistically rare—this research first introduces a dual-phase data augmentation strategy. By …

Utah’S Waste Glass Makes Concrete Stronger And Improves Durability, Rosemary Yahne

Research on Capitol Hill

Utah landfills receive thousands of tons of waste glass annually while our concrete industry relies on cement, one of the world's largest sources of CO₂ emissions.

We discovered that finely ground recycled glass can replace up to 30% of cement in concrete and improve performance.

This research tests whether Utah's waste-recycled glass can create stronger, more durable concrete for our roads, bridges, and buildings.

Mae Enewsbrief Oct-Dec 2025, Department Of Mechanical And Aerospace Engineering, Michigan Technological University

Department of Mechanical and Aerospace Engineering eNewsBrief

No abstract provided.

Post-Fire Inspection, Material Testing, Repair, And Field Load Testing Of A Full-Scale Concrete Box Girder Bridge: Delta Bridge Case Study, Ahmed S. Eisa, Hilal Hassan, Mohamed A. Badran, Ayman El-Zohairy

Faculty Publications

Bridges are critical components of transportation networks, and fire accidents can significantly impair their structural integrity, leading to safety risks and major economic losses. This study presents a comprehensive inspection, materials testing, repair, and field load testing program for a full-scale concrete box girder bridge (Delta Bridge, Alexandria, Egypt) following a fire exposure on two spans. A total of 28 concrete core samples were extracted and tested, revealing average compressive strengths of 48.50 MPa (slab), 53.90 MPa (web), and 45.88 MPa (columns), representing moderate reductions of approximately 8.5%, 7.9%, and 10.8%, respectively, relative to the original in situ concrete strength …

A Method For Diffracted Wave Separation And Imaging Based On The Gwa-Vmd, Lin Peng, Liu Yulin, Peng Suping, Cui Xiaoqin, Guo Changbo, Yang Jie

Coal Geology & Exploration

Background Small-scale discontinuous geobodies such as faults, collapse columns, and pinch-out points are widely present in underground spaces. They are closely associated with the safe production and development of underground resources such as coals, oil, and gas. As the wave field responses of small-scale discontinuous geobodies, diffracted waves can overcome the shortcomings of traditional reflected wave imaging, being capable of accurately identifying and localizing small-scale geobodies. Objective and Method This study aims to achieve diffracted wave imaging of discontinuous geobodies. Based on the differences in kinematic and dynamic characteristics between reflected and diffracted waves, this study leveraged the precise self-adaptive …

Ainet: Integrating Mamba And Cbam For Enhanced Camouflage Object Detection, Henry O. Velesaca, P. Andrea Mero, Abel A. Reyes-Angulo, Angel D. Sappa

Michigan Tech Publications

This paper introduces AINet, a novel deep learning architecture designed for detecting camouflaged objects in complex and diverse environments. The objective of this work is to design an end-to-end camouflaged object detection architecture that simultaneously captures long-range dependencies and refines subtle camouflage cues, improving segmentation accuracy and boundary delineation across both standard COD benchmarks and real-world agricultural scenarios. AINet leverages the strengths of Mamba, an efficient sequential state model for capturing long-range dependencies, and the Convolutional Block Attention Module (CBAM) for feature refinement through attention mechanisms. Detecting camouflaged objects is a significant challenge across a wide range of real-world applications, …

Note: Greenvent – Revolutionizing Methane Management With Hybrid Energy Processing In Mine Ventilation, Roman J. Jędrzejczyk, Damian K. Chlebda, Jacek Dańczak, Piotr Rosikowski, Monika A. Koperska, Robert E. Hayes, Joseph P. Mmbaga, Robert Hildebrandt, Joanna Profic-Paczkowska

Journal of Sustainable Mining

Methane plays a significant role in intensifying the greenhouse effect, possessing a global warming potential more than twenty times greater than that of CO₂ when measured on a carbon-dioxide-equivalent basis. Hence, identifying efficient methods to mitigate methane emissions is crucial for safeguarding the environment, ensuring economic viability, and maintaining practicality. Globally, research initiatives are dedicated to crafting an effective catalyst system for methane oxidation, which involves developing catalysts, comprehending their characteristics, and determining the best way of bonding them to structural supports to enhance functionality. Notably, systems that incorporate metals from the non-noble d-block of the periodic table as …

Enhancing Workforce Development In Construction Management Through Collaborative Teaching (Co-Teaching) Models, John Annor, Francois Jacobs

Online Journal for Workforce Education and Development

This study evaluated the effectiveness of a collaborative co-teaching initiative implemented across three educational institutions—the University of State, Community College, and High School—through two key construction courses: Construction Materials and Methods and Construction Safety. Designed to bridge gaps across educational levels, the initiative adopted a mixed-methods research approach to assess student learning outcomes, instructional effectiveness, and stakeholder perceptions. Quantitative data were collected from standardized assessments, including quizzes, a safety plan project, and exams administered across multiple years. Analytical techniques such as Welch's two-sample t-tests and Welch ANOVA were employed to compare student performance between and within institutions, adjusting for unequal …

A Longitudinal Study Of Workforce Trends And Challenges In The Construction Industry Of A Rural State: A Case Study Of Wyoming, John Annor, Francois Jacobs

Online Journal for Workforce Education and Development

Wyoming’s construction sector, while often eclipsed by extractive industries, plays a vital role in supporting statewide economic activity and infrastructure development. This study investigates key labor force trends in the sector from 2010 to 2024, focusing on employment patterns, age-based workforce composition, and wage trajectories. Drawing on monthly data from the Wyoming Department of Workforce Services, the analysis employs descriptive statistics, time series modeling, and cross-variable analysis to explore sectoral vulnerabilities. Findings reveal a cyclical employment structure marked by seasonal peaks and troughs, with a notable disruption during the COVID-19 pandemic in 2020. The workforce is aging rapidly, with workers …

Uas Path Planning With Dynamic Rerouting Using A Space-Time Graph, Kimoy Williams

Electronic Theses and Dissertations 2020 - Present

UAS systems have emerged as multifaceted technologies with applications across a wide range of sectors. Their ability to access areas that are difficult or unsafe for manned systems has made them invaluable tools in various domains. As a result, UAS have transformed numerous industries, including infrastructure inspection, delivery and logistics, military and defense, as well as precision agriculture and environmental monitoring.

The advancement in UAS technology is fundamentally reliant upon ongoing research efforts in the specialized area of UAS path planning. Optimal flight planning is essential for a UAV to effectively execute its mission’s task safely, effectively, and in congruence …

Automated, High-Resolution, Three-Dimensional Pest Scouting In Orchards Using Aerial And Ground Vehicles, Sierra N. Young

Funded Research Records

No abstract provided.

Interfacial Engineering Of Electrodes And Solid-State Electrolytes For High-Performance Lithium-Ion And Sodium-Ion Batteries, Ahmad Helaley

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid expansion of electrified transportation and renewable energy integration demands advanced lithium-ion (Li-ion) and sodium-ion (Na-ion) batteries with enhanced safety, long-term reliability, and high energy efficiency. However, conventional systems employing liquid electrolytes continue to exhibit persistent failure modes, including thermal instability, parasitic interfacial reactions, transition-metal dissolution, and electrode degradation under high-voltage or fast-charging conditions. These limitations become even more critical in solid-state configurations, where insufficient ion mobility and interfacial incompatibility can severely restrict electrochemical performance. The first part of this dissertation develops an atomic-layer-scale interfacial stabilization strategy using atomic layer deposition (ALD) coatings. ZnO-modified graphite anodes in Li-ion cells …

Tetramethylbenzidine Loaded Pva Nanofibers Strip For Visual Detection Of Hydrogen Peroxide Via Cu2+ Catalysis And Its Applications, Samar A. Salim

Nanotechnology Research Centre

Background Advancements in sensor technology have facilitated the development of cost-effective and highly sensitive sensors which have significantly improved the detection of biological analytes in various fields. This study presents a novel approach for the detection of hydrogen peroxide (H₂O₂), a critical analyte in both biological and environmental systems. A simple and sensitive colorimetric sensing platform was developed based on polyvinyl alcohol (PVA) nanofibers loaded with tetramethylbenzidine (TMB). Results The nanofibers were characterized using scanning electron microscopy, confirming the formation of smooth, spindle-shaped fibers with diameters from 324 to 551 nm. The colorimetric detection method utilized TMB, which undergoes oxidation …

Controlling Of Monopile Seismic Response Using Concrete Skirt, M. Mancy, T. Sorour, M. Abdel-Motaal

HBRC Journal

Bridges are considered one of the major infrastructure projects that pose many challenges for design and construction. This is because they require highly efficient structural systems that last for many years, require minimal maintenance, and provide a short construction period. Monopiles are the most common foundation system concept in wind turbines, but they have also proven to be an economically sound foundation solution in bridge foundation systems (as seen in monorails, railway bridges, bridges extensions and ramps) owing to their simple design, easy construction, low manufacturing costs, and minimal excavation work. However, the durability of bridges resting on monopiles …

Harnessing Higher Education For Regional Transformation: Case Of King Salman International University, South Sinai, Egypt, Ashraf S. Hussein, Dalia A. Elsorady

HBRC Journal

As the globe becomes more urbanised, anchor Higher Education Institutions (HEIs) are becoming increasingly crucial to the well-being of cities and communities. Egypt's Vision 2030 positions universities as key pillars of national development, aiming to transform them into fourth-generation universities that foster innovation, research, entrepreneurship, and community service. The plan aligns education with economic needs, promotes a knowledge economy, and improves quality of life through digital transformation and specialized institutions to meet rising demand and accomplish Sustainable Development Goals. This paper explores the role of fourth-generation universities as anchor institutions in promoting regional development, considering various aspects, including education, urban, …

Simulating Cyber-Resilience: The Strategic Role Of The Locked Shields Exercise In Enhancing International Cyber Preparedness, Christopher A. Ramezan, Ludwig Christian Schaupp, Elizabeth A. Vitullo, William J. Walker

Journal of Cybersecurity Education, Research and Practice

As cyberthreats to critical infrastructure remain prevalent, national response mechanisms must evolve beyond the technical domain to incorporate legal, communicative, strategic, and cross-sector coordination. This work explores Locked Shields, an annual exercise conducted by NATO's Cooperative Cyber Defence Centre of Excellence, as a pedagogical and conceptual framework for simulating whole-of-government responses to cyber incidents. Unlike traditional cyber exercises, Locked Shields engages legal advisors, media strategists, and civil-military roles in realistic, scenario-driven simulations that portray the political and operational conditions of a real international-scale cyber crisis. We detail the exercise architecture, contrast with other cyber exercises, and assess its pedagogical and …

Population Satisfaction Indicators Of The Quality-Of-Life Standards During The Work Trip (A Case Study Of The Cities Of Minia And New Minia), Shimaa Mohammed Hamdy Derbala, Amna Waz Amgad Ali

Mansoura Engineering Journal

The research examined the indicators of population satisfaction with the quality of life during work trips in the cities of Minia and New Minia, in relation to the problem of low urban communication between the two cities and the continued dependence of debtors on each other to provide employment opportunities. The research examined previous studies linking the quality of life of work trips to the environmental, social and psychological aspects of the movement and economy, A questionnaire was designed for a sample of the population (388 individuals) to assess the residents' impression of the quality of life during their work …