Digital Commons Network^™

Real-Time Intelligent Parking Management In Smart Cities Using Internet Of Things, Genetic Algorithms, And Machine Learning, Mohammed Abo-Zahhad, Mohammed M. Abo-Zahhad

Mansoura Engineering Journal

Smart city parking systems face significant challenges related to real-time availability updates, security vulnerabilities in RFID-based access, and connectivity issues. To address these limitations, this paper proposes a comprehensive two-stage intelligent parking system that integrates Internet of Things (IoT), Genetic Algorithms (GAs), and Machine Learning (ML) techniques. The system utilizes sensor technologies, such as infrared sensors and ESP8266 controllers, combined with a mobile application to monitor and manage parking space occupancy in real-time efficiently. In the first stage, real-time parking availability is detected through sensor data transmitted to a cloud infrastructure that updates the user interfaces. The second stage employs …

Optimal Design Of An Off-Grid Hybrid Renewable Systems With Battery Storage For Rural Electrification Of Academic Community In Ibogun Campus, Nigeria, Ayodeji Akinsoji Okubanjo, Alexander Okandeji, Ignatius Kema Okakwu, Benjamin Akinloye, Abisola Olayiwola

Mansoura Engineering Journal

In an era where the debate on climate action has evolved from mere awareness to urgent implementation, energy-efficient management strategies are crucial. The energy mix, combined with optimal design of hybrid renewable energy systems, is a potential option to limit the increase in demand for fossil fuels and the climate issue. As a result, this study proposes an optimal design of hybrid renewable systems using technoeconomic criteria to meet load demand in the Department of Electrical and Electronics Engineering at Olabisi Onabanjo University. The model combines an off-grid energy alternative with a battery storage system. The primary goal is to …

Improving Load Capacity Of Steel Beams With Corrugated Webs Using Stiffening Plates, Aya Fouda, Mohamed Dabaon, Saad Eldeen Mostafa Abdrabou, Mohamed Ghannam

Mansoura Engineering Journal

In the last decades, Steel Beams with Corrugated Webs (SBCWs), especially those with trapezoidal profiles, are extensively employed in structural applications owing to their superior strength-to-weight ratio and improved structural stability under various loading conditions. While the behavior of SBCWs has been widely investigated, comparatively fewer studies have explored approaches aimed at improving their structural performance through strengthening techniques. This study presents numerical investigation into the capacity enhancement of SBCWs through the application of horizontal stiffeners and reinforcing plates. The numerical results were validated against existing experimental and computational data from previous research. The finite element method was employed to …

Optimum Design Of Three-Phase Wound Rotor Induction Machine Using Giant Trevally Optimizer Technique, D. El-Hassanein, Abd Al Rahman Amin, Eid Gouda, Mohamed F. Kotb

Mansoura Engineering Journal

Conventional sizing methods for electric machines often result in large dimensions, excessive weight, even when following correct design principles. In this paper promising Giant Trevally Optimizer “GTO” is employed as a swarm intelligence-based optimization algorithm inspired by the social behavior of giant trevally, to design a three-phase wound rotor induction machine “3WRIM”. The optimization process targets four key objectives: maximizing efficiency , and minimizing weight per kilowatt “ ”, temperature rise , and the no-load current to phase current ratio . These objectives are optimized both simultaneously and individually while adhering to a set of practical design constraints. To validate …

Shear Strengthening Of Reinforced Concrete Beams Using Pre-Fabricated Ultra-High Performance Fiber Reinforced Concrete (Uhpfrc) Laminates: Experimental Investigation, Mostafa Khairy Elkady, Khalid Mohamed El-Sayed, Marwa Ibrahim Badawi, Gamal Ismaail Khaleel

Mansoura Engineering Journal

This study examines the effectiveness of prefabricated ultra-high-performance fiberreinforced concrete (UHPFRC) laminates in shear strengthening reinforced concrete (RC) beams. A total of nine reinforced concrete beams were cast and tested under a four-point loading till failure. The following key parameters were investigated: the number of strengthening sides, the thickness of the UHPFRC layer, the reinforcement of the strengthening layer (by using two different types of steel mesh, and also, in case of no-steel mesh), the volume fraction of steel fibers, and bonding schemes steel dowels and / or epoxy. The ultimate load and ductility of the strengthened beams have increased …

Optimization Of Persulfate Activation System Using Ferrous Sulfate For Toc Removal From Real Domestic Wastewater, Mohamed Fouad, Mohamed Mossad, Mohamed Gar Alalm, Mahmoud Samy

Mansoura Engineering Journal

The reuse of treated wastewater is increasingly recognized as a sustainable solution to address global water shortage. This study investigates the effectiveness of a persulfate-based advanced oxidation process (AOP) using sodium persulfate (Na2S2O8) activated by ferrous sulfate (FeSO4) as a tertiary treatment for secondary effluents. Real municipal wastewater was collected from Agouzain Wastewater Treatment Plant (WWTP) in Kafr El-Sheikh, Egypt. A Box Benkhen design (BBD) was employed to optimize three key variables: FeSO4 dose (0.5–2.0 g/L), Na2S2O8 dose (0.5–2.0 g/L), and pH (3.0–9.0), with total organic carbon (TOC) removal as the main response. Under optimized conditions (0.50 g/L FeSO4, 2.00 …

Effect Of Raw Materials And Loop Length On Thermal Comfort Properties Of Pique Fleece Fabrics, Aya E. Elemam, Abd Elmonem Fouda, Ahmed S. Eldeeb, Rehab Abd Elkhalek

Mansoura Engineering Journal

Technological developments of knitting machines made it possible to produce evolved fabric structures to obtain various properties that suit consumer needs. Pique fleece is a variation of the special popular fleece knitted structure with aim of combining the features of pique and fleece structures. The aim of this research was to study the effect of yarns material type and loop length on thermal comfort properties of un-napped pique fleece fabrics that used as apparel textiles during transitional seasons. Two types of fleece yarn (100% cotton and 65% cotton/ 35%polyester) and three types of face and binding yarns (cotton, polyester and …

The Thermal Behavior Of Building Materials Using Phase Change Materials (Pcms) To Enhance Energy Efficiency, Rowan Mohamed Kamal Mansour

Mansoura Engineering Journal

Improving global energy efficiency necessitates the development of energy-efficient buildings (EEBs). One emerging method involves integrating phase change materials (PCMs) into building structures. This study evaluates the thermal performance of walls coated with Nano-enhanced PCM powder compared to conventional walls under the climatic conditions of Damietta, Egypt. Experimental and simulation results indicate a reduction in indoor wall temperature from 30.1 °C (without PCM coating) to 28.8 °C (with PCM coating), highlighting the energy-saving potential of PCM-enhanced coatings. The study provides detailed information about material selection, experimental setup, thermal simulations, and results over short-term and long-term periods.

Enhancing Topical Delivery Of N-Acetylcysteine And Collagen Via A Novel Electrospun Collagen/Pmma Nanofibrous Mats As Facial Mask Development: Nanofibers Optimization And In Vitro Experiments, Abdullah Elbadry, Elbadawy Kamoun, Mahmoud Sabahy, Mohamed Helmy, Mahmoud Khaled, Shahira Elmosalamy, Noura Eissa

Nanotechnology Research Centre

No abstract provided.

Build Digital Annual Survey 2024 Results, Clare Eriksson, Robert Moore, Bilal Succar

Reports

The Build Digital Annual Survey 2024 presents a sector-wide snapshot of digital adoption and transformation across Ireland’s construction and built environment sector. Based on 137 responses, the report shows that most participating organisations have begun their digital transformation journey, with expected benefits including improved accuracy, operational efficiency, quality, cost reduction, and faster clash resolution. The findings indicate widespread use of common digital deliverables and increasing awareness of ISO 19650, CDEs, OpenBIM, and CWMF BIM requirements. However, the report also identifies persistent challenges, including skills gaps, uneven training provision, limited digital competence, and variable implementation of BIM requirements across public and …

Synthesis And Characterization Of Eco-Engineered Hollow Fe2o3/Carbon Nanocomposite Spheres: Evaluating Structural, Optical, Antibacterial, And Lead Adsorption Properties, Islam Gomaa

Nanotechnology Research Centre

This work presents a facile mechano-thermal route for the synthesis of carbon-decorated, hollow, mesoporous α-Fe2O3 microspheres. Comprehensive characterization (XRD, XPS, FT-IR, SEM/EDX, TGA, zeta-potential) confirmed the formation of phase-pure hematite with nanoscale crystallites (~19 nm), substantial residual surface carbon (~40 wt%) consistent with Fe–O–C linkages, and a positive surface charge (+15.9 mV). The hierarchical hollow/mesoporous architecture enables fast ion transport and provides extensive interior binding sites, resulting in rapid Pb(II) uptake that reaches 92% removal in ≈15 min at pH 5.0. The adsorption follows a Langmuir isotherm (qmax ≈ 70.6 mg/g) and pseudo-second-order kinetics, indicative of chemisorption coupled to efficient …

Functionalized 2d Hexaazatriphenylene As Hydrogen Storage Platform: A Dft-Guided Design Approach, Islam Gomaa

Nanotechnology Research Centre

No abstract provided.

First-Principles Modeling Of Nitazoxanide Analogues As Prospective Pfor-Targeted Antibacterials, Islam Gomaa

Nanotechnology Research Centre

Pyruvate:ferredoxin oxidoreductase (PFOR) is a key Achilles’ heel in anaerobic pathogens. We integrate electronic-structure calculations (DFT), cheminformatic QSAR metrics, and residue-resolved docking to distill a concise “recognition code” and translate it into practical design rules. Using nitazoxanide (Nita; ΔG(bind) ≈ −10.0 kcal·mol−1) as a well-established reference, productive binding requires a conserved triad: a hydrogen-bond donor addressing Thr-997 and Cys-840, a π–π stack with Phe-869, and a recurrent π–σ contact to Thr-997 that orients the scaffold. Deacetylation to tizoxanide unmasks the phenolic donor and raises local electrophilicity, yet it also slightly loosens pocket packing (−9.6 kcal·mol−1). Strategic halogenation introduces a σ-hole …

Woke-Washing At Work, Peggie R. Smith, Marion Crain

Scholarship@WashULaw

In the modern era, corporate marketing and branding processes frequently encompass a public commitment to progressive social causes favored by a firm’s base of both consumers and workers. So-called woke capitalism, or values-based branding, is designed to build a relationship between the firm and its stakeholders that will yield brand loyalty and increased profits. It has proved exceptionally effective with millennial workers, who increasingly seek to express social justice and political values through their brand affiliations. Sometimes woke capitalism involves authentic promises of principled production and service, but not always. Values-based corporate promises that turn out to be inauthentic amount …

Artificial Intelligence In Educational Research And Scholarship: Seven Framings, Eamon Costello, Giselle Ferreira, Stefan Hrastinski, Jason K. Mcdonald, Ahmed Tlili, George Veletsianos, Victoria I. Marin, Henk Huijser, Sharon Altena

Faculty Publications

In a recent interview (Bender et al., 2025), Professor Emily M. Bender discussed the limitations of technical solutions in addressing harmful Artificial Intelligence (AI) bias. She described a particular point we may reach at which technical solutions stop working, and when we should then widen the lens to ask about the problem framing itself. This is a crucial step in any inquiry that is of concern to both novice and experienced researchers alike: moving from problem-solving to problematisation. This commentary aims to provide educational researchers with a glimpse into the wide array of research problems and problematisation of AI in …

Customer Service Operations: A Gatekeeper Framework, Maqbool Dada, Brett A. Hathaway, Evgeny Kagan

Faculty Publications

Customer service has evolved beyond in-person visits and phone calls to include live chat, AI chatbots and social media, among other contact options. Service providers typically refer to these contact modalities as “channels”. Within each channel, customer service agents are tasked with managing and resolving a stream of inbound service requests. Each request involves milestones where the agent must decide whether to keep assisting the customer or to transfer them to a more skilled – and often costlier – provider. To understand how this request resolution process should be managed, we develop a model in which each channel is represented …

The Effect Of Device Geometry On The Performance Of A Wave Energy Converter, Emma C. Edwards, Craig Whitlam, John Chapman, Jack Hughes, Bryony Redfearn, Scott Brown, Scott Draper, Alistair G.L. Borthwick, Graham Foster, Dick K.P. Yue, Martyn Hann, Deborah Greaves

School of Engineering, Computing and Mathematics

Wave energy presents an excellent opportunity to add much-needed diversification to the global renewable energy portfolio. However, a competitive levelised cost of electricity for wave energy conversion devices is yet to be proven. Here, we optimise the geometry of a wave energy device to maximise power while also minimising the power take-off reaction moments. Using theory, numerical modelling and optimisation techniques, we show that by including minimisation of reaction moments in the optimisation, instead of only maximisation of power, it is possible to substantially lower the design loads while maintaining high efficiency. Using the underlying physics of how geometry affects …

Seaweed (Laminaria Digitata) And Honey Kombucha: A Fermented Antioxidant-Rich Beverage: Fermentation, Anastasia Karpova, Deborah Adesina, Furong Tian, Azza S. Naik

Research Outputs: 2025-Present

Kombucha is a sweetened tea infusion fermented using a symbiotic culture of bacteria and yeast (SCOBY). Recently, kombucha has gained popularity due to its potential health benefits, attributed to its high antioxidant and probiotic properties. The aim of this research was to formulate a novel antioxidant-rich beverage with symbiotic benefits by utilizing ingredients such as Laminaria digitata (brown seaweed), cinnamon, and lavender adjuncts, alongside alternative substrates like acacia honey and conventionally used ingredients such as ginger (Zingiber officinale Roscoe). This study comprehensively evaluated parameters including pH levels, acidity, alcohol content, color, and antioxidant potential of the beverages. All kombucha beverages …

Standardization Of The Vermicompost For Organic Cultivation Of Andrographis Paniculata (Burm. F.) Wallich Ex Nees, Ranjeet Kumar Yadav, Saurabh Singh, Priya, Geet Govind Sinam, Lal Bahadur

Research Outputs: 2025-Present

Andrographis paniculata (Burm. f.) Wallich ex Nees is an important medicinal plant that belongs to the family Acanthaceae . It has been used to treat many human diseases since ancient times. The pharmaceutical industries accept only organically grown biomass of A. paniculata that is free from contamination. Vermicompost is an important organic manure that is used as an organic source for the cultivation of crops. The experiment aims to find the optimum dose of vermicompost for organic cultivation of A. paniculata. The different doses of the vermicompost, i.e., Control (T₁), 2.5 t/ha (T₂), 5 t/ha (T …

Cnns And Transformers For Visual Understanding: From Feature Alignment To Image Captioning, Xuehao Liu

Doctoral

Deep learning has developed rapidly since the introduction of Deep Belief Networks during the past decade. As an area of machine learning, it still has many open challenges. Among these open challenges is the issue of transparency, with deep learning models known as black boxes. Both explainability of a model for understanding the decision making process, and the transparency of the relationship between the input and output are crucial for understanding a model. The understanding of models can build trust between AI systems and humans, verify models behavior, and identify potential biases or errors.

Navigating And Transforming Pk12 Systems Through Research-Practice Partnerships, Maia Elkana, Rachel Ruggirello, Jay Hartman, Nikki Doughty, Victoria May

Institute for School Partnership: Research & Publications

This chapter examines how one research-practice partnership (RPP) navigated and impacted complex PK12 systems. Our experiences interrogate the locus of control for those participating in RPP projects in building and sustaining equitable university PK12 relationships and more equitable school communities. Through a case study focused on a school leadership and cultural transformation partnership between an urban school district, university researchers, and community non-profit organizations, we illustrate the ways that RPPs can support participants grappling with PK12 system factors. These systems can serve as both barriers and facilitators to equitable functioning within the context of the partnership as well as for …

Using Appreciative Inquiry To Strengthen Rpp, Maia Elkana, Victoria L. May

Institute for School Partnership: Research & Publications

Research-Practice Partnerships (RPPs) offer a model for mutually beneficial learning and capacity building across disciplines and contexts. Bringing together professionals with different skills and areas of expertise can foster innovation with the goal of creating equitable transformation and improvement. Within these partnerships, individuals often need to approach the work with a different set of skills and mindsets than they might otherwise draw from in their regular roles as researchers, teachers, administrators, or policymakers. Several resources have examined the kind of personal capacities needed for working collaboratively across disciplines and considered the complex ways in which context, systems, and structures external …

Associations Between Dietary Sodium And Potassium Intakes, Urinary Sodium And Potassium Excretion And Blood Pressure Among Adult Females In Oromia Region, Ethiopia, Fred Baffour Addo

Open Access Master's Theses

Introduction: Accurate assessment of sodium (Na) and potassium (K) intake is essential for population level monitoring of salt intake as part of global strategies to reduce salt consumption to control the increasing prevalence of high blood pressure (BP). Thus, a simple, cost-effective, and low-burden method is particularly valuable in resource-limited settings for population level monitoring of Na and K intake. This study aimed to compare the reliability of various methods of Na and K intake assessment, and their associations with blood pressure measurements.

Methods: This secondary analysis was based on a cross-sectional study of 100 non-pregnant women of …

Investigating The Effectiveness Of Best Management Practices In Reducing Fecal Bacteria In Narrow River, Rhode Island, Katherine Thompson

Open Access Master's Theses

Fecal bacterial contamination shapes how communities manage and use estuarine waters, with consequences for ecosystem health and public access. In Rhode Island's Narrow River, elevated concentrations of fecal coliforms and enterococci have restricted shellfishing for decades despite ongoing management efforts. From 2004 to 2018, local organizations implemented Best Management Practices (BMPs) to address water quality challenges, yet their effectiveness remains incompletely understood. This study analyzes three decades of monitoring data using linear regression, generalized additive models, and Before After Control Impact methods to evaluate BMP effectiveness and identify key drivers of contamination. Linear regression revealed spatially variable trends, with bacterial …

Dynamic Beamforming And Array Shape Estimation, Nicholas Ryan Costick

Open Access Master's Theses

The accurate estimation of towed sonar array shapes during complex maneuvers is a critical challenge affecting beamforming and target localization performance. When underwater arrays experience sharp turns or rapid movements, sensor positions become difficult to track precisely, negatively impacting the reliability of beamforming methods. This thesis addresses the issue of dynamic array shape uncertainty, motivated by operational challenges faced by the Navy.

A maximum-likelihood estimation (MLE) method is developed to simultaneously estimate the array shape and field directionality (spatial spectrum) during maneuvers. The proposed solution expands upon previous research, specifically the dynamic spatial spectrum estimation techniques described by Rogers and …

Experimental Validation Of Model Predictive Control For Roll Attenuation Of Scale Model Barge In Beam Sea Conditions, Callum Robbins

Open Access Master's Theses

Floating offshore wind turbines (FOWTs) are the next great frontier in the offshore energy world. However, for these machines to be safe, effective, and reliable, they must be stable. In this thesis, an active control strategy is developed that uses future wave information and model predictive control to attenuate wave induced motions of a floating platform, such as a FOWT. The future wave information is provided by a wave reconstruction and prediction (WRP) algorithm which allows for wave events to be calculated faster than real-time. This wave information is provided to a nonlinear model predictive controller (NMPC) that uses a …

First Destination Survey 2025: For Degrees Awarded December 2024-August 2025, Hart Career Center, Illinois Wesleyan University

First Destination Survey

No abstract provided.

Bulletin Of Yale University School Of Nursing 2025-2026, Yale School Of Nursing

Yale School of Nursing Bulletins and Catalogues

Series 121, Number 16

September 5, 2025

Uncharitable Think Tanks, Faith Stevelman

FIU Law Review

As people debate whether the Heritage Foundation’s Project 2025 is good policy, what’s being overlooked is that it’s likely unlawful as the work product of a charitable think tank. (Think tanks nearly always are qualified as charities under the tax code.) To reinforce think tanks’ educational mission, tax law sets rigorous content requirements for their materials. It also bans them from campaigning, sharply limits their lobbying, and prohibits their benefiting private parties. The doctrines are intended to keep think tanks charity-worthy educators, but they have not succeeded.

Ironically, the failure reflects other features of tax law that incentivize using think …

Uncharted Waters: Mapping A Vision For Student Success, Mallory Jallas, Christine Fary, Rebecca Fitzsimmons, Susan Franzen, Sarah French, Cassie Thayer-Styes

Faculty and Staff Publications – Milner Library

No abstract provided.