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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 …

Sound Insulation Performance Of Sustainable Lc3 Mortars With Barite And Waste Rubber Aggregates, Begüm Söyek Abay, Leyla Tanaçan

Journal of Sustainable Construction Materials and Technologies

This study investigates the potential of limestone calcined clay cement (LC3) as a sustainable binder for developing a single-layer composite material incorporating barite and rubber aggregates, hypothesized to achieve enhanced sound insulation performance compared to conventional multi-layered wall systems. Mortars were prepared using LC3 with 55% clinker, 30% metakaolin, 15% limestone, substituting 45% of cement clinker. Hybrid mixtures of barite and rubber aggregates (barite-to-rubber volume ratios of 2:1 and 1:2) were tested at aggregate-to-binder ratios of 2.0, 2.75, and 3.5 to evaluate their combined mass and damping effects on acoustic performance. Experiments were conducted to determine physical, mechanical, and acoustic …

From Lime To Geopolymers: Emerging Trends And Advances In Sustainable Soil Stabilization, Favour Chukwuebuka Egwu, Amin Eisazadeh

Journal of Sustainable Construction Materials and Technologies

Soil stabilization remains a critical challenge in geotechnical engineering, particularly for weak and expansive soils that compromise the safety and serviceability of infrastructure. Traditional stabilizers such as lime and cement have been widely applied; however, their limitations in terms of long-term durability, carbon footprint, and performance under aggressive environmental conditions necessitate alternative approaches. In recent years, geopolymer-based stabilizers derived from industrial by-products such as fly ash (FA), slag, and bottom ash (BA) have emerged as promising substitutes. This review critically examines the comparative performance of lime and geopolymer stabilization with respect to strength development, durability, compressibility, environmental impact, and economic …

Improving The Uv Resistance And Service Life Of Polystyrene-Based Building Materials Via Low-Concentration Metal Complex Modifiers, Dina S. Ahmed, Marwa Fadhil, Raghda Alsayed, Mohammed Kadhom, Muna Bufaroosha, Amani Husain, Thura Alyasiri, Hanan Ibraheem, Alaa A. Rashad, Bassam M. Abood, Riyadh Noaman, Ahmed Ahmed, Ruqaya Raad, Ala'a Shaker, Abeer Erfan, Hassan Hashim, Saba Hamza, Rahimi M. Yusop, Emad Yousif

AUIQ Technical Engineering Science

PS is highly susceptible to UV-induced photodegradation, which results in deterioration of its mechanical and aesthetic properties. In the present study, four novel and highly aromatic levofloxacin metal complexes, synthesized from Zn, Sn, Cu, and Ni, were investigated as low-concentration (0.5% w/w) photostabilizer additives for PS. Composite films were prepared by solution casting and subjected to accelerated UV irradiation up to 300 hours. Photostabilizing performance was systematically followed by monitoring changes in the carbonyl index via FT-IR spectroscopy, mass loss measurements, and surface morphology analyses using SEM and AFM. Results showed that all levofloxacin metal complexes had a pronounced inhibition …

Remote Sensing Of Dynamic Ground Motion Via A Moiré-Based Apparatus, Adrian Ali Moazzam, Nontawat Srisapan, Gregory Waite, Durdu Guney, Roohollah Askari

Michigan Tech Publications

Highlights: What are the main findings? A Moiré-based optical apparatus enables long-range, non-contact ground displacement measurement in hazardous environments. Controlled indoor and outdoor experiments demonstrate reliable detection of dynamic and seismic-like ground motions with sub-millimeter resolution. What are the implications of the main findings? System performance is evaluated under atmospheric turbulence and wind, revealing key limits and mitigation strategies for field deployment. The proposed approach provides a low-cost, scalable complement to traditional seismic and geodetic monitoring techniques. Ground-based remote sensing of seismic and geophysical displacements remains a major challenge due to environmental hazards, signal attenuation, and practical deployment limitations of …

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

Electronic Theses and Dissertations

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 …

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

Electronic Theses and Dissertations

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 …

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 …

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 …

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

Electronic Theses and Dissertations

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 …

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, …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Strategies For Sustainable And Inclusive Outdoor Wayfinding In Healthcare Facilities: An Approach To Enhance User Experience At Kafr Alsheikh University Hospital, Egypt, Rania Abd Allateef Ghanam, Ahmed Salah El-Deep

Mansoura Engineering Journal

Outdoor wayfinding plays a critical role in shaping user experience in healthcare environments, where inadequate navigation can heighten stress and hinder timely access to care. Despite the presence of wayfinding systems in many hospitals, outdoor navigation remains underexamined and inconsistently addressed in design guidelines. This study fills this gap by investigating architectural strategies to enhance outdoor wayfinding and reduce user stress. The research focuses on Kafrelsheikh University Hospital in Egypt and applies a twophase methodology: (1) a comprehensive literature review to identify current principles, guidelines, and best practices in outdoor wayfinding, and (2) an on-site case study to assess existing …

The Impact Of Integrating Social Benefit Requirements For Urban Green Infrastructure And Place Identity Attributes To Enhance The Sense Of Place - Case Study Of Central Park, Madinaty, New Cairo City, Egypt, Ibrahim Magdi Mohammed, Rehab Abdelfatah Abdel Aziz Mahmoud

Mansoura Engineering Journal

This research develops an integrated model that links the social benefit requirements of Urban Green Infrastructure (UGI) with the non-physical attributes of Place Identity (PI) to enhance the Sense of Place (SOP) in contemporary urban environments. The need for this integration arises from limitations in current planning frameworks, which often prioritize ecological performance while overlooking cultural, perceptual, and behavioral dimensions that shape user attachment and belonging. The study adopts an inductive and synthesis-based approach to identify key UGI indicators across environmental, social, economic, and spatial dimensions, alongside PI attributes related to places’ legibility, uniqueness, publicness and territoriality, place’s identification. To …

Assessing The Geomechanical Modelling Of Underground Reservoir For Co₂ Storage Trapping Mechanisms, Bonavian Hasiholan, Mohammed Ali Farea, Elhassan Mostafa Abdallah, Sami Abdelrahman M. Yagoub, Yasir Mukhtar

Mathematical Modelling and Numerical Simulation with Applications

Effective carbon dioxide (CO₂) storage is essential for mitigating climate change amid increasing global greenhouse gas emissions. This study investigates the influence of geomechanics on CO₂ storage performance within carbon capture and storage (CCS), focusing on structural, residual, and solubility trapping mechanisms using a fully coupled modeling framework. Two numerical models, with and without geomechanical effects, are developed to evaluate impacts on reservoir behavior, CO₂ migration, and trapping efficiency. Each mechanism is analyzed separately and within an integrated framework to assess their combined contributions. Results indicate that geomechanical coupling increases reservoir pressure, reduces CO₂ flow velocity, enhances migration control, and …

Volcanic Plume Height During The 2021 Tajogaite Eruption (La Palma) From Two Complementary Monitoring Methods-Implications For Satellite-Based Products, África Barreto, Francisco Quirós, Omaira E. García, Jorge Pereda-De-Pablo, Daniel González-Fernández, Andrés Bedoya-Velásquez, Simon Carn, Et. Al.

Michigan Tech Publications

Volcanic emissions from the Tajogaite volcano, located on the Cumbre Vieja edifice on the island of La Palma (Canary Islands, Spain), caused significant public health and aviation disruptions throughout the eruption (19 September–13 December 2021, officially declared over on 25 December). Nonetheless, it is considered the most significant volcanic event in Europe over the past 75 years due to the substantial amount of SO2 released into the atmosphere. The Instituto Geográfico Nacional (IGN), the authority responsible for volcano surveillance in Spain, implemented extensive operational monitoring to track volcanic activity and to provide a robust estimation of the volcanic plume height …

A Holistic Modelling Framework For Functionally Safe Software Architectures In Embedded Control Systems, Thomas Barth

Doctoral

Embedded control systems are integral to most modern electrified products and an essential backbone of ongoing digitalisation [1]. In this context, these systems increasingly perform safety-critical functions where failures can lead to severe personal injury, environmental damage, or significant economic loss [2]. Consequently, they fall more often within the scope of regulation such as IEC 61508 and its derivatives [3]. At the same time, driven by hardware evolution and market demands, embedded control systems continue to grow in both integration density and functional complexity [4]. These demands necessitate structured development methods that balance compliance with cost-efficiency and development agility. A …

Trusted Forms—The Case Of Barack Obama’S Birth Certificate, Karl-Heinrich Schmidt, Frederik Schlupkothen

Proceedings from the Document Academy

Documents can be understood as containers for information that enable remote communication between people across space and time. They are therefore fundamentally subject to issues of trust. The theoretical treatment of documents as a means of remote communication has a long history and has arrived in the age of electronic document exchange, as shown by the work of R. T. Pédauque, which is taken as a starting point here.

To take theory further, form-based documents are discussed here as an example. Form-based documents control the information provided by fillers by specifying form fields. The core of this paper is to …

Simulation Of Robotic Arm Ball-Catching Strategy Based On Curriculum Rl Of Transformer, Ziyao Zhang, Yunfeng Ji

Journal of System Simulation

Abstract: Method integrating the PPO algorithm with Transformer network architecture is proposed, and curriculum learning strategy is introduced to solve the difficult training convergence and low efficiency of traditional RL methods in complex and dynamic high-degree-of-freedom tasks such as robotic arm ball catching. The Transformer is employed to effectively capture the complex high-dimensional dependency between the robotic arm's state space, ball trajectory, and environmental physical parameters. Curriculum learning progressively increases catching difficulty by designing training tasks from simple to complex objectives. The experimental results show this method increases the ball-catching success rate by over 60% compared to the traditional …

Protecting ‘Punks’: The Shortcomings Of The Prison Rape Elimination Act, Rachel Goldsmith

Binghamton University Undergraduate Journal

Prisoner-on-prisoner sexual abuse is widespread in US male prisons, with inmates “turning each other out” by sexually assaulting each other. While the Prison Rape Elimination Act (PREA) received unanimous support in Congress in 2003, motivated by the Human Rights Watch Report “No Escape: Male Rape in Prisons,” scholars argue that the PREA fails to protect prisoners from prison rape: for example, its standards may be ineffective or criminalize consensual sex between prisoners. This essay will examine the shortcomings of the PREA, drawing on current legal scholarship, and propose solutions to enhance the law's effectiveness in protecting prisoners. The US government …

Ai Applications In Assessing Risk For Periodontal Disease: A Systematic Review, Grant O. Korte, Claudia M. Tellez Freitas

Annual Research Symposium

Objectives:

The goal of this systematic review is to examine the impact of using artificial intelligence (AI) to predict a patient’s risk level for periodontal disease by analyzing proven systemic health diseases linked to periodontitis. This is being done by primarily focusing on prevention and early diagnosis using machine learning programs that have been proven effective in other fields of periodontitis research.

Methods:

To conduct this study, a comprehensive literature review of journals published after 2020 was performed through four databases: PubMed, Scopus, Web of Science and Dentistry and Oral Science Source. The search was completed in adherence …

Prediction Of Thyroid Disease Based On Machine Learning Algorithms, Tuqa Ahmed Elbillihy, Eman Abdelhalim, Mohamed Ashour, Hala B. Nafea

Mansoura Engineering Journal

Accurately diagnosing thyroid disease remains a challenge in medicine, necessitating the use of reliable computational techniques for early detection and categorization. Using a dataset of 3164 patient records, this study applies machine learning algorithms to create a computer-aided thyroid disease diagnosis system. The data set includes demographic information, clinical indicators, and thyroid function test results. To improve model performance, the study focuses on preprocessing approaches such as data cleaning, normalization, and feature selection. The use of feature engineering techniques to determine the most predictive characteristics associated with thyroid problems is highlighted. Five machine learning classifiers—Random Forest, K-Nearest Neighbors, Support Vector …

Green Roofs For Grey Water Treatment – Comparative Study Of Economic And Environmental Impacts, Shaden S. Attia

Theses and Dissertations

Cities are under more pressure than ever to use sustainable methods for managing water and other resources because of urbanization, climate change, and a lack of water. Standard greywater treatment systems (SGTSs) work well, but they use a lot of resources and don't provide a lot of ecosystem services. Greywater-treating green roofs (GTGRs) have emerged as a promising Nature-Based Solution (NBS), combining wastewater recycling with benefits like regulating temperature, reducing greenhouse gas (GHG) emissions, and reducing the urban heat island (UHI) effect. Even with this potential, there is still not enough real-world research on how GTGRs affect both the economy …

Neuproio: A Dual-Action Solid Drug Nanoparticle Topical Formulation For Simultaneous Intraocular Pressure Reduction And Neuroprotection For Glaucoma, Lei Xu, Mu Li, Lin Qi, Tzu Chen Wang, Dong Liu, Vimalin Jeyalatha Mani, Hsin Yin Chuang, Qingbo Yang, Ruipu Mu, Samira Mahdi, Da Huang, Honglan Shi, Yang Hu, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Glaucoma is a leading cause of irreversible blindness, primarily due to elevated intraocular pressure (IOP) that damages the retina and optic nerve. Most topical glaucoma treatments focus solely on IOP-lowering without direct neuroprotection, as drug delivery to the posterior eye is challenging. Here, we developed NeuProIO, a dual-action solid drug nanoparticle (NP) eye drop for simultaneous IOP reduction and neuroprotection. Using flash nanoprecipitation in a multi-inlet vortex mixer, we fabricated the first NeuProIO solid drug NPs incorporating the repurposed neuroprotective agent maprotiline (MAP) and the IOP-lowering agent betaxolol (BX), forming MAP/BX NPs for synergistic glaucoma treatment. The NeuProIO improved stability …

Metal-Free Nitrogen-Enriched Graphitic Carbon Nitride Architectures For Advanced Supercapacitor Energy Storage: Design, Synthesis, And Electrochemical Performance Optimization, Loujain Gamal Mohamed

Theses and Dissertations

Abstract

This thesis addresses the urgent global requirement for efficient energy storage materials by developing and characterizing advanced graphitic carbon nitride (g-C3N4)-based electrode materials for supercapacitors. A facile, low-cost thermal polymerization method produces 2D nitrogen-rich GCN nanosheets exhibiting excellent electrochemical stability and wide voltage windows, enabling symmetric devices with 19.33 Wh/kg energy density and remarkable cycling stability over 21,000 cycles. To overcome intrinsic limitations of pristine GCN, a 3D/2D metal free composite with bio-derived carbon (Bio-Cx) is synthesized, delivering high capacitance, wide potential windows, and ultrahigh energy density of 53.72 Wh/kg in asymmetric configurations paired with mesoporous nitrogen-doped carbon (MPNDC). …

Emerging Trends In Photocatalyst-Based Metal-Organic Frameworks For Pfas Degradation, Ahmad Najafidoust, Roham Ghanbari, Javad Farahbakhsh, Ratish Permala, Stefan Iglauer, Masoumeh Zargar

Research outputs 2022 to 2026

Per- and polyfluoroalkyl substances (PFAS) are highly persistent pollutants in the environment that pose significant health hazards due to their strong chemical resilience and widespread industrial use. Traditional treatment techniques, such as adsorption and reverse osmosis, often struggle with drawbacks like high energy requirements and limited effectiveness against both short- and long-chain PFAS compounds. Among the innovative degradation methods, photocatalysis has gained attention as a viable solution, especially when coupled with metal-organic frameworks (MOFs). MOFs are particularly suited for this purpose due to their high surface area, customizable structures, and superior light absorption properties. This review highlights the latest developments …

Comparative Evaluation Of Conventional And Sustainable Concrete Protective Coatings: Performance, Economic, And Environmental, Andro Ebrahim

Theses and Dissertations

Concrete structures are highly susceptible to deterioration from environmental, chemical, and mechanical factors, making protective coatings essential for ensuring durability and reducing maintenance demands. This study aims to compare and evaluate conventional and innovative coating systems for concrete protection across three dimensions—technical performance, environmental sustainability, and life cycle cost efficiency—and to assess whether coatings often regarded or marketed as sustainable genuinely achieve sustainability across these three pillars. Four representative coatings were selected for assessment: epoxy solvent-based, epoxy solvent-free, acrylic water-based, and cementitious. Technical performance was examined through laboratory testing, expert interviews, and multiple real project cases, providing a comprehensive understanding …

Clear And Concise: Technical Writing For Biological Engineers, Abigail S. Engelberth

Purdue University Press Books

Clear and Concise: Technical Writing for Biological Engineers is a practical guide designed to help students and early career engineers communicate their work with clarity and confidence. Drawing on years of teaching experience, Abigail S. Engelberth breaks down the essentials of technical writing into approachable steps, showing readers how to organize ideas, present data effectively, and write reports that meet professional standards.

Rather than overwhelming readers with theory, the book focuses on real-world application. It includes examples, checklists, and strategies for common engineering documents including formal and memo-style lab reports. Special attention is given to visuals, formatting, and the role …

Mechanized Tube Well Installation, Robert M. Stwalley Iii, Grace L. Baldwin Kan-Uge, Roger Tormoehlen

Purdue University Press Books

Mechanized Tube Well Installation provides detailed information on the design development of a mechanized means to install shallow tube wells using a hydraulic driver attached to a small vehicle. This book explores the creation of this technique through the merging of available components, selection of the components, testing of the assembly, and the driving of wells. It also provides comprehensive coverage of state-of-the-art engineering, technology, and best practices as they relate to driving water wells for human consumption, animal care, and irrigation. Mechanized Tube Well Installation is well-aligned with collegiate humanitarian aid, environmental and natural resources engineering, and agricultural equipment …