Digital Commons Network^™

Feasibility And Acceptability Of The Mazi Umntanakho Digital Tool In South African Settings: A Qualitative Evaluation, Catherine E. Draper, Caylee J. Cook, Elizabeth A. Ankrah, Jesus A. Beltran, Franceli L. Cibrian, Kimberley D. Lakes, Hanna Mofid, Lucretia Williams, Gillian R. Hayes

Engineering Faculty Articles and Research

To address the need for interventions targeting social emotional development and mental health of young children in South Africa, the Mazi Umntanakho (‘know your child’) digital tool was co-designed, and piloted with caregivers and 3–5-year-old children involved in home visiting programmes promoting early childhood development. The aim of this study was to qualitatively evaluate the feasibility and acceptability of this tool in four urban and four rural low-income communities, from the perspective of home visitors and caregivers. Focus groups were conducted with home visitors (n = 117) and caregivers (n = 72). Issues relating to the feasibility of …

Spatiotemporal Impact Analysis Of Land Surface Temperature Variations: A Case Study Of The Northeastern Part Of Baghdad Province, Iraq (2000-2024), Basheer S. Jasim

Al-Bahir

Land Surface Temperature maps are handy tools in a wide variety of scientific and practical fields. Monitoring climate change, researching the consequences of global warming, and evaluating the health of ecosystems are some of the applications that are used extensively. In addition, they have uses in agriculture, such as determining the amount of water that vegetation needs and monitoring agricultural regions that are experiencing drought. This study utilized a remote sensing approach to estimate land surface temperature with Landsat imagery from two periods, respectively, 2000 and 2024. The Landsat user's guide provided the algorithm to convert the images from DN …

One Heart, One Vessel: Unraveling The Mystery Of Truncus Arteriosus, Claudette C. Artiles

Mako: NSU Undergraduate Student Journal

No abstract provided.

What’S New In Esophageal Atresia Treatment?, Alexandra N. Jimenez Gonzalez

Mako: NSU Undergraduate Student Journal

No abstract provided.

Eco-Efficiency And Life Cycle Assessment Of The Long Reach Directionally Drilled And Cross-Measure Boreholes Methane Drainage Technologies Employed In Bituminous Coal Mine On The Basis Of The Pilot Scale Experimental Data, Bartłomiej Jura, Piotr Krawczyk, Anna Śliwińska, Jacek Skiba, Marcin Karbownik, Natalia Howaniec

Journal of Sustainable Mining

This paper presents the results of eco-efficiency and life cycle analysis conducted for two methane drainage technologies: cross-measure (CM) and long reach directionally drilled (LRDD) boreholes. In the analyses, data from coal mine methane drainage of two coal panels, I-C and II-C, located at the Staszic-Wujek coal mine in Poland, were used. The results of the life cycle and eco-efficiency assessments showed that employment of long reach directional drilling boreholes method has a lower environmental impact and is more eco-efficient, causing the lower environmental impact and lower construction and operating costs per cubic meter of methane extracted. The results of …

Connotation, Research Status, And Development Directions Of Clean Coal Geology In China, Tang Yuegang, Wang Shaoqing, Wang Xiaoshuai, Guo Xin, Wang Yafeng, Xue Liping, Harold H. Schobert

Coal Geology & Exploration

Objective The exploration and assessment of low-carbon, zero-emission, and maximized utilization of coal resources, emerge as a focus of coal geology in the 21st century. [Research Advances] Based on the research content of coals and coal geology, along with the domestic and international development trends of clean coal technology (CCT), this study defines clean coal geology in the broad and narrow sense. Clean coal geology in the narrow sense focuses on the geological and geochemical issues related to efficiency enhancement and emission reduction in coal processing and utilization. In contrast, clean coal geology in the broad sense emphasizes …

A Novel Mu-Metal Based Weak Magnetic Energy Harvester For Self-Powered Monitoring Of Power Grid Assets, Arsalan Habib Khawaja, Hassan Pervaiz, Dongsheng Cai, Jian Li, Qi Huang

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a novel magnetic field driven contactless energy harvester with improved flux concentration capabilities for potential utilization in Power system monitoring where stray magnetic field is abundant and readily available. The designed harvester employs multilayered Mu-Metal based cone shaped core to maximize magnetic flux density. To achieve the final design, this work investigates magnetic flux concentration ability of various geometries and material properties in magnetic flux conditions typical to overhead 11 kV power distribution circuits. Impact of layers in core-coil region of harvesting coil on magnetic flux concentration is evaluated by means of Finite Element analysis. Resultantly, the …

Advanced Prediction Of Events And Temporal Expressions In Medical Text Using The Jena Api: Integrating Ontologies And Deep Learning, Hafida Tiaiba, Lyazid Sabri, Okba Kazar

Turkish Journal of Electrical Engineering and Computer Sciences

The automatic recognition of medical concepts and temporal expressions in narrative clinical text enhances the utility of electronic health records (EHRs) and supports clinical decision-making and research. However, challenges arise due to the complexity of medical language, ambiguity of terms, and variability in expression. To address these issues, the use of medical ontologies significantly improves data management in healthcare. A novel approach integrates various medical ontologies covering drugs, symptoms, diseases, anatomy, disease drivers, and food, and with convolutional neural networks (CNNs) -including Standard, Transposed, and Separable convolution models (CONSEPTR)- to extract both medical events (e.g., clinical departments, treatments, problems) and …

Machine Learning Models Approach For The Quantitative Classification Of Ferricyanide Compound Using Electrochemical Detection With Cpe-Fe3o4nps, Süleyman Aşir, Nemah Abu Shama, Najya Maroof Saleem, Devri̇m Kayali, Kami̇l Di̇mi̇li̇ler

Turkish Journal of Electrical Engineering and Computer Sciences

Most common electrochemical analysis techniques used to evaluate enzymes, proteins, and heavy metals over a wide potential range include electrochemical impedance EIS, differential pulse voltammetry DPV, and square wave voltammetry SQWV. Machine leaning algorithms MLA are employed to classify the Potassium ferricyaniyde K3Fe(CN)6 concentrations using a modified carbon paste electrode CPE embedded with iron (II, III) oxide (Fe3O4) NPs. The CV, DPV, and SQWV voltametric data collected from all K3Fe(CN)6 concentrations were used as input data to the machine learning algorithms. Signaling current of K3Fe(CN)6 concentrations improved at Fe3O4 modified with nanoparticles NPs CPE in a comparison with the unmodified …

Improving Rupture Status Prediction For Intracranial Aneurysms Using Wall Shear Stress Informatics, Jingfeng Jiang, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, Joseph Gemmette, Aditya Pandey

Michigan Tech Publications

BACKGROUND: Wall shear stress (WSS) plays a crucial role in the natural history of intracranial aneurysms (IA). However, spatial variations among WSS have rarely been utilized to correlate with IAs' natural history. This study aims to establish the feasibility of using spatial patterns of WSS data to predict IAs' rupture status (i.e., ruptured versus unruptured). METHODS: "Patient-specific" computational fluid dynamics (CFD) simulations were performed for 112 IAs; each IA's rupture status was known from medical records. Recall that CFD-simulated hemodynamics data (wall shear stress and its derivatives) are located on unstructured meshes. Hence, we mapped WSS data from an unstructured …

Associations Between Social Determinants Of Health And Mental Health Disorders Among U.S. Population: A Cross-Sectional Study, S. Tanarsuwongkul

Faculty Publications

Aims

The impact of social determinants of health (SDOH) on mental health is increasingly realized. A comprehensive study examining the associations of SDOH with mental health disorders has yet to be accomplished. This study evaluated the associations between five domains of SDOH and the SDOH summary score and mental health disorders in the United States.

Methods

We analyzed data from a diverse group of participants enrolled in the All of Us research programme, a research programme to gather data from one million people living in the United States, in a cross-sectional design. The primary exposure was SDOH based on Healthy …

Identifying The Effect Of Architecture Morphology On Wind Fields And Pm2.5 Dispersion At The Urban Block Scale Via A Combined Scheme, Bin Guo, Lu Li, Xiaowei Zhu, Zheng Wang, Miaoyi Chen, Lin Pei, Tengyue Guo

Mechanical and Materials Engineering Faculty Publications and Presentations

This study explores the potential of architecture morphology to mitigate PM2.5 pollution through enhanced urban ventilation. Despite the recognized influence of building designs on wind and air pollution distribution at the urban block scale, specific mechanisms remain poorly understood. To address this gap, we have developed an integrative approach combining in-situ observations, Geographic Information System (GIS), Remote Sensing (RS), Computational Fluid Dynamics (CFD), and statistical modeling. Here, CFD simulates the flow field and PM2.5 dispersion, using in-situ observations for turbulence model selection. GIS quantify architecture morphology parameters to establish accurate CFD boundary conditions, ensuring simulations reflect real-world conditions and precise …

Advancing Prosthetic Technology: 3d-Printed Robotic Arm With Micro Linear Actuators, Vu Tran, Nathan Reed, Mahdi Yazdanpour

Posters-at-the-Capitol

The increasing demand for affordable and accessible prosthetic solutions has driven innovation in the field of robotics. In this project, we present the design and development of a 3D-printed robotic prosthetic arm aimed at addressing the challenges faced by individuals with upper limb amputations. Our prosthetic arm utilizes five micro linear actuators to achieve precise and naturalistic movement. The design of the prosthetic arm prioritizes affordability and accessibility, with a focus on leveraging 3D printing technology to reduce manufacturing costs and enable customization. The use of micro linear actuators offers advantages in terms of compactness, lightweight construction, and efficient power …

The Dim Prospects Of A Child Find: Journal Entries Of An Academic, Engineer, And Mother Navigating Special Education Services, Idalis Villanueva Alarcon

Journal of Pre-College Engineering Education Research (J-PEER)

This provocation is a journaling exercise to uncover the author’s experiences of navigating child find, a process to identify specific learning disability needs for my oldest child. While the Individuals with Disabilities Education Act provides provisions to protect and support children with special needs, private schools do not operate equally. When considering how these inequities in the educational system overlap with precollege engineering education, there is a large gap the literature, positioning a dire need to move disability studies into the precollege engineering education space. The critical authoethnographic journal sheds light on the inequities and educational gaps that are present …

Investigating Nanomaterials For Improved Barrier Properties In Food Packaging, Alice Njolke Mafe, Great Iruoghene Edo, Patrick Othuke Akpoghelie, Ebuka Chukwuma Umelo, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This review examines the potential of nanomaterials in revolutionizing food packaging, focusing on their role in enhancing barrier properties and extending the shelf life of packaged foods. Traditional packaging materials often fall short in effectively protecting against oxygen, moisture, and UV light, resulting in diminished food quality and shorter shelf life. Nanomaterials, including nanoclays, metal oxide nanoparticles (e.g., ZnO, TiO₂), carbon-based nanomaterials (e.g., graphene, carbon nanotubes), and biodegradable options like cellulose nanocrystals, have emerged as promising solutions. These materials offer exceptional gas and moisture barrier properties, antimicrobial effects, and UV protection capabilities. The review provides an in-depth exploration of various …

Comparative Analysis Of The Environmental Impact Of Biopolymer-Based And Conventional Plastic Packaging In Food Engineering Applications, Alice Njolke Mafe, Great Iruoghene Edo, Patrick Othuke Akpoghelie, Ogunyemi Ayobami Joshua, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

The paper presents a comparative analysis of the environmental impacts of biopolymer-based packaging versus conventional plastic packaging in food engineering applications. It begins by highlighting the critical role of packaging in food preservation and safety, while addressing the environmental challenges posed by traditional plastic packaging, including pollution, waste accumulation, and the generation of microplastics. The review compares conventional plastics like PET and HDPE with biopolymers such as PLA and PHA, discussing the environmental advantages of biopolymers in terms of carbon footprint reduction, renewable resource utilization, and enhanced biodegradability. A life cycle assessment is employed to evaluate the resource usage, emissions, …

01.13.2025 Ored Connect, Liz Williamson

ORED Newsletter

NIH Public Access Policy Update

Procurement Information for Award Spending online course announcement

National Sea Grant Law Center funding

Enhancing Smartphone Authentication By Integrating Decision-Making Model With Touch Pressure, Finger Location Data, And Advanced Cybersecurity Techniques, Maytham M. Hamood, Moceheb Lazam Shuwandy, Rawan Adel Fawzi Alsharida

Iraqi Journal for Computer Science and Mathematics

Smartphone authentication methods face significant challenges in achieving high accuracy, robustness, and usability within cybersecurity applications. Traditional methods, such as passwords and biometric recognition, often lack adaptability and are prone to high false-positive rates, impacting security and user acceptance. This study presents a novel hybrid approach incorporating machine learning (ML) and the Analytic Hierarchy Process (AHP) in a framework to facilitate decision-making abilities and improve smartphone authentication. A novel dataset was constructed based on 3D touch sensor data (pressure levels and spatial dynamics) collected from 20 participants performing tasks per task over sessions, where AHP was used to rank/choose relevant …

Preliminary Spectral Matching Analysis Of The Rod El-Farag Region In Cairo, Egypt, Ahmed F. Youssef, Amr Z. Elkady, Ayman A. Seleemah

Journal of Engineering Research

Abstract: Earthquake engineering assessments are essential for evaluating the seismic response of structures. Nonlinear dynamic analysis is a highly effective method for evaluating seismic re-sponse, considering the complex, three-dimensional, and dynamic behaviour of structures during earthquakes. The complexity of seismic damage assessment arises from ground motion and struc-tural modelling parameters. Spectral matching is a key method in seismic codes and aids in selecting earthquake accelerograms for performance- and force-based designs. Spectrum-matched data is increasingly used to estimate nonlinear structural responses. Spec-tral matching utilizes the wavelet adjustments introduced by Abra-hamson (1992) and refined by Hancock et al. (2006) to adjust earth-quake …

Indoor Localization With Ensemble Machine Learning Via Visible Light Communication Channels, Alzahraa M. Ghonim, Wessam M. Salama

Journal of Engineering Research

An indoor localization system based on received signal strength, visible light communication (VLC) and several machine learning approaches is proposed in this paper. Our proposed framework is divided into two strategies. The first one is consisting of gathering our dataset based on MATLAB software to create indoor VLC channel model. While the second phase is depending on training the gained dataset using ensemble machine learning models. Specifically, random forest, decision tree and gradient boosting models. In order to evaluate the robustness of the proposed framework, several evaluation metrics are applied, specifically, training time, testing time, classification accuracy (CA), area under …

Challenges Of Sustainable Infrastructure In Egypt For Contractors, Consultants, And Owners, Abdelrahman Ali Gaber Eng., Mohammed Elsayed Elsharkawy Assis. Prof., Adel Ibrahim Eldosouky Prof.

Journal of Engineering Research

This research investigates the multifaceted challenges and opportunities for implementing sustainable infrastructure in Egypt from the perspectives of key stakeholders—contractors, consultants, and owners. It uses structured questionnaires to draw on a comprehensive literature review and a field study. These questionnaires were distributed to experts across three vital sectors: roads and bridges, water and sewage networks, and ports and shore protection. A total of 95 participants completed the survey, surpassing the statistically required sample size of 61, calculated using Kish's 1965 formula, thereby enhancing the robustness of the findings. Key barriers identified include high initial costs, insufficient operational funding, lack of …

Evaluating Lidar Technology In Iphone Mobiles For 2d Mapping Applications, Nasr Mohammady Saba, Salem Salama Saleh

Journal of Engineering Research

Abstract- LiDAR (Light Detection and Ranging) technology has revolutionized mapping applications, offering enhanced precision and accuracy in spatial data collection. The integration of LiDAR technology in the latest iPhone models, beginning with the iPhone 12 Pro, has introduced new capabilities for 2D data measurement and plan creation directly on the mobile device. The iPhone 12 Pro and 12 Pro Max models support LiDAR techniques within their mobile phone cameras, enhancing the performance of various applications such as Measurements and Photos. LiDAR operates by emitting pulsed light waves into the surrounding space, which bounce off nearby objects and return to the …

Experimental And Numerical Investigation For Optimum Design Of Hydraulic Steel Gates, Basma Hassan Mohamed Eng, Ahmed Mohamed Anwer Dr, Hanan Eltobgy Prof., Gamal Helmy El-Saeed Prof

Journal of Engineering Research

Conventionally, steel gates are widely used in hydraulic structures for their superior mechanical properties in sustaining hydrostatic pressure. Maintenance and operational costs should be considered while studying the feasibility of these gates. In the current research, three prototype steel gates with different configurations were prepared and examined experimentally. The three gates have the same surface dimensions of (width x height) equal to (1.0 x 1.25 m). The first steel gate represents a typical traditional gate made of skin plate and stiffened laterally using standard steel channels and will be kept for comparison. The second gate represents a standard thicker plate …

Performance And Emissions Characteristics Of Multi-Cylinder Direct Injection Diesel Engine Fuelled With Diesel/Biodiesel And Toluene Additives, Hagar Alm-Eldin Bastawissi, Medhat Elkelawy Prof. Dr. Eng., Mohammed Osama Elsamadony Dr. Eng., Moustafa Ghazaly Eng.

Journal of Engineering Research

This study explores the impact of using a diesel, biodiesel, and toluene additive fuel blend in a multi-cylinder direct injection diesel engine, focusing on both performance and emissions characteristics. Biodiesel, made from renewable sources like vegetable oils, is often added to diesel to reduce reliance on fossil fuels and improve combustion due to its higher oxygen content. In this work, a 45% biodiesel blend (B45) led to significant reductions in particulate matter (PM) emissions by up to 40% compared to conventional diesel. Additionally, carbon monoxide (CO) and hydrocarbon (HC) emissions decreased by up to 30% and 25%, respectively, due to …

Effect Of Dual-Fuelled Cng And Gasoline On Spark Ignition Engine Performance And Emissions Behaviors At Different Loads, Medhat Elkelawy Prof. Dr, Eng., M.M. Bassuoni Prof. Dr., Hagar Alm-Eldin Bastawissi, Saied I. Haiba Eng.

Journal of Engineering Research

Engine emissions are one of numerous factors that have detrimentally affected the environment, such as global warming, which is the result of growing exhaust gases, practically carbon dioxide (CO2). These emissions have substantially influenced researchers to develop strategic initiatives to minimize the carbon contents of fuels. The purpose of this research is to investigate the characteristics of internal combustion (SI) engines fueled by gasoline and compressed natural gas (CNG) blends. The experiments are performed using a HONDA 4-stroke, single-cylinder, and air-cooled SI engine. Five CNG concentrations are evaluated, the concentrations range from 0.5 to 2.5 L/min with a 0.5 L/min …

A Quantitative Analysis Of The Commercial-Additive Effects On Diesel Engine Combustion And Emissions Characteristics, Medhat Elkelawy Prof. Dr. Eng., Hagar Alm-Eldin Bastawissi Prof. Dr. Eng., E. A. El Shenawy Prof. Dr., Mahmoud Mohamed Soliman Mahmoud Mohamed Mahmoud Soliman

Journal of Engineering Research

Petroleum fuel prices fluctuate in response to global political and economic issues. Government regulations should be followed when it comes to engine emissions, as these dangerous pollutants have a negative impact on the environment. One such effect is global warming, which raises global temperatures. The purpose of this study is to develop the additives for use as a fuel mix with diesel fuel, which will be used to feed the diesel engine of a single cylinder, four strokes. The engine will be tested experimentally with varying loads at fixed speed of 1500 rpm, using blends of [(5% PRETSONE additive + …

Design And Implementation Of A Low-Cost Educa-Tional Robot For Engineering Curriculums, Diana Refaat Henry Jacob, Ashraf Mohamed Hafez, Mohamed Tarek Elawa

Journal of Engineering Research

The role of educational robots is becoming increasingly important. Many commercial educational robots differ in their abilities and price. In general, the cost of these robots presents the main cause of their limited use in the teaching process, especially in countries with limited financial resources. This work attempts to solve this problem by designing and implementing an educational robot with a limited budget. The robot was initially intended to serve higher education students' needs, especially in engineering curriculums but can be extended to other application areas. This work presents robot hardware functional blocks, mechanical struc-ture design, and 3D printing implementation. …

A Standardized Approach For Measuring The Quality Of Urban Life In New Urban Communities Case Study: New Damietta City, Egypt, Raghda Abdelkader Mahmoud, Sherif Ahmed Sheta, Esraa Mohamed El-Azab, Ahmed Mohamed Thabet Alieldin

Journal of Engineering Research

New urban communities aim to achieve a clear societal vision through the promotion of urban development and improving their efficiency to suit human life with its various requirements. Therefore, the quality of life standards can be adopted to reflect their indicators positively on individuals and communities under their organizational, development strategies, and development plans that are leading to the Egyptian society’s prosperity. In this context, the aim of the research is to investigate and analyse the quality of urban life with the identification of its effective and efficient indicators for the study area. Furthermore, the research intends to provide …

A Greening The Diesel: Vegetable Oil Biodiesel Blends For Cleaner Emissions And Improved Direct Injection Diesel Engine Performance, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi, E. A. El Shenawy Prof. Dr., Mustafa Mohamed Ouda

Journal of Engineering Research

In this study, we conducted comprehensive experiments to assess and compare the performance of pure diesel fuel against biodiesel produced from corn oil in various blend ratios (15/85, 30/70, 45/55, and 60/40) in a conventional four-stroke, direct-injection diesel engine, fuel is injected directly into the combustion chamber at the end of the compression stroke, allowing for efficient combustion and power generation over four distinct phases: intake, compression, power, and exhaust. Each fuel blend was tested at an engine speed of 16,000 rpm across different load conditions (low, medium, and high). Key performance metrics, including volumetric fuel consumption, exhaust smoke, and …

Evaluating Energy Efficiency And Thermal Performance In Egypt’S Social Housing: Climate-Responsive Design And Material Impact In Hot Desert Environments, Ahmed M. Hanafi, Mohamed A. Moawed, Osama E. Abdullatif

Journal of Engineering Research

As Egypt's urban areas expand rapidly, the demand for energy-efficient, affordable housing in extreme hot desert climates has become increasingly urgent. This study investigates the energy efficiency and thermal performance of Egypt’s Social Housing Project, with a focus on residential building in New Aswan City, where summer temperatures frequently exceed 45°C. Employing a validated energy model, this research simulates annual energy consumption for the building, which comprises 24 residential units, each approximately 86 m². The model integrates realistic occupancy schedules, region-specific weather data, and common household behavior patterns to closely reflect actual energy usage. Findings indicate a high alignment between …