Digital Commons Network^™

Finite Element Analysis Of Multiscale Fgm Plate Using Modified Third Order Shear Deformation Theory, Ravi Kumar, Ajay Kumar

Mansoura Engineering Journal

Present paper aimed to examine the static and dynamic response of a carbon nanotube (CNT) infused multiscale functionally graded (FGM) rectangular plate structure. A third-order shear deformation theory (TSDT) based on Reddy’s formulation with enforcing negligible transverse shear stresses at the outermost surface of the plate, is used. A nine-noded isoparametric element with 13 displacement variables per node is numerically investigated for finite element analysis. Using the Halpin-Tsai and homogeneous equation the elastic behaviour of the final material is obtained. The current result is first checked against a previously published result to validate the present mathematical model. The finite element …

Optimal Design Of Concrete Canal Section For Minimizing Overall Costs Using Artificial Ecosystem Optimization, Aya M. Elkhouly, Hamdy A. El-Ghandour, Tharwat Sarhan, Mahmoud E. Abd-Elmaboud

Mansoura Engineering Journal

The optimal design of concrete-lined canals represents a critical challenge in hydraulic engineering, requiring simultaneous minimization of construction and operational costs while satisfying hydraulic performance constraints. This study presents a novel optimization framework that utilizes the Artificial Ecosystem-based Optimization (AEO) algorithm for determining optimal canal cross-sectional dimensions. The proposed methodology comprehensively considers excavation costs, lining expenses, and water losses due to seepage and evaporation while ensuring hydraulic efficiency through velocity and Froude number constraints. The AEO algorithm mimics natural ecosystem processes through production, consumption, and decomposition phases to efficiently explore the design space and converge to global optima. The framework …

Frequent Pattern Mining With Optimized Gated Recurrent Units For Automated Waste Classification Systems In Smart Cities, Anupriya Garg, Ratish Kumar

Mansoura Engineering Journal

Efficient waste segregation into biodegradable and non-biodegradable categories is a crucial requirement for sustainable smart city development. While Convolutional Neural Network (CNN)-based approaches have demonstrated promising performance, their high architectural complexity and limited adaptability often restrict real-time deployment. This paper proposes BnBCNet, a lightweight waste classification framework that reformulates image-based waste segregation as a sequential learning problem using Gated Recurrent Units (GRUs). To further enhance classification performance, Grey Wolf Optimization (GWO) is employed for hyperparameter optimization, while Adam optimizer is used for network weight updates. Experiments conducted on a publicly available waste segregation image dataset demonstrate that the proposed BnBCNet …

Federated And Explainable Spiking Neural Networks For Fair And Privacy-Preserving Nail Disease Diagnostics, Ch Pavani Reddy, Krishnanaik Vankdoth

Mansoura Engineering Journal

Automated nail disease diagnostics provide a non-invasive pathway for identifying underlying systemic health conditions; however, conventional centralized deep learning approaches often raise concerns related to privacy, fairness, and interpretability. Although the original NeuroNail-SNN framework demonstrated an energy-efficient and edge-ready diagnostic solution, its broader clinical adoption remained limited by unresolved trust, transparency, and ethical considerations. In this study, we propose the Federated and Explainable NeuroNail-SNN, which extends the original spiking neural architecture by integrating federated learning (FL), explainable artificial intelligence (XAI), fairness evaluation, and uncertainty quantification within a unified framework. Federated learning enables decentralized model training across hospitals and mobile clinics …

Study Of Fire Regimes In Southwestern Australia Using Geospatial Techniques, Ana Do Carmo Carvalho

Theses: Doctorates and Masters

The Northern Jarrah Forest in Southwestern Australia (SWA), part of a global biodiversity hotspot, is home to fire-sensitive tree species such as marri (Corymbia calophylla) and jarrah (Eucalyptus marginata). As climate change intensifies drought and extreme fire events, understanding the drivers of fire severity is increasingly critical. This thesis analyses fire regimes within the Mundaring drinking water catchment to better understand the spatiotemporal complexity of fire severity in relation to fire history and environmental factors.

The thesis commences with a review of three Fire History Databases (FHDs) used in SWA, highlighting significant inconsistencies and data gaps across time and space. …

An Analysis Of Systemic And Contact Herbicide Usage Trends In Illinois Corn Production Systems, Paige E. Mckittrick

Murray State Theses and Dissertations

Herbicide use is central to weed management in Illinois corn production; however, long-term changes in the balance between systemic and contact herbicides have not been well quantified at the statewide scale. This study analyzes herbicide trends in Illinois corn from 1982 to 2016 using secondary data from the USDA Agricultural Chemical Use Survey, paired with climate, regulatory, and herbicide resistance information. Herbicide active ingredients were classified into systemic and contact functional categories and grouped according to Weed Science Society of America (WSSA) mode-of-action (MOA) codes. For each survey year, total herbicide load (lb a.i./acre), functional proportions, MOA-specific contributions, and a …

Coexistence Between Ci And Feminization Inducing Symbionts: A Theoretical Perspective, Dylan Thorp

University of Kentucky Master's Theses

Endosymbiotic bacteria that manipulate the reproduction of their host are abundant in arthropods. Theoretical efforts to model these bacteria have seldom included symbionts that feminize their hosts, and those that do have assumed an environmental sex determination system. Here, I expand upon other theoretical works to model the dynamics of a host population with an XX/X0 sex determination system that contains separate CI and feminization inducing symbionts. I found that coexistence cannot occur without double infection, consistent with previous models. However, I also found that without double infection, the presence of the feminizing symbiont can facilitate the spread of the …

Serum Magnesium Level And Carotid Artery Calcification And Stiffness In Dialysis Patients: Single Center Cross-Sectional Study, Kareem Ahmed Elbosaty, Alaa Abd Elaziz Sabry, Gehad Ahmad Saleh, Nehal Atef Elshabrawy

Mansoura Medical Journal

Introduction Vascular calcification is common among end-stage renal disease (ESRD) patients on regular dialysis, either hemodialysis or peritoneal dialysis. Magnesium is suggested to play a role in inhibiting that process. Recently, Mg started to be considered one of the factors that protect against vascular calcification and consequently decrease CVD mortality rate in CKD patients. Many recent studies support that role although the mechanism of that protective effect is not clear. But it is supposed to be a combination of both passive and active mechanisms. The passive one occurs through interference with calcium phosphate deposition and hydroxyapatite inhibition by phosphate binding. …

Performance Of Renal Artery Doppler Compared With Umbilical Artery Doppler In Growth Restricted Fetuses, Alya Kamal Ibrahim Anwar, Abdel-Aziz Abdel-Ghani Elrefae, Khaled Samir Othman, Alhussein Ahmed Mohamed

Mansoura Medical Journal

Background:

Fetal growth restriction (FGR) is a major contributor to perinatal morbidity and mortality and is frequently associated with placental insufficiency. Doppler ultrasonography of blood flow is widely utilized in the assessment and follow up of pregnancy considered to be at high obstetric risk.

Objective:

This study aimed to compare the diagnostic performance of umbilical and fetal renal artery Doppler indices in prediction and monitoring of fetal growth restriction.

Methods:

    This prospective observational study included pregnant women with fetuses whose EFW <10^th percentile for gestational age. A total of 90 women with suspected FGR were recruited. All participants underwent detailed …

Influences On Student College-Major Decision And Satisfaction Rate Among Students In The School Of Agriculture, Danielle Shafer

Murray State Theses and Dissertations

The purpose of this study was to determine the factors that influence students to choose agriculture majors and agriculture careers and measure the level of satisfaction with their major based on these influences. There are many factors that influence students to choose a major in college and college-major satisfaction. These influences and satisfaction with major may have an impact on a student’s decision to choose a college career path. Some of the influences mentioned in studies are family, friends, educators, extension programs, clubs, financial, and recruitment efforts. The degree to which each of these influence students may depend on the …

Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

This work provides a micro-pilot techno-economic and environmental assessment of a green hydrogen-driven decarbonization scenario for low-carbon steel production at the capacity of 1 ton steel produced (i.e., requiring 50 kg of green hydrogen). In this work an integrated renewable energy (RE) scenario for the steel production site at Jamuria, West Bengal, India is planned to utilize solar photovoltaic (PV), wind turbines (WTs), battery storage and a diesel backup generator to meet the hydrogen production load from an electrolyzer using HOMER Pro software. The results show that the proposed micro-pilot system produces excess electricity with respect to the plant's operating …

Hall Current And Nth Order Chemical Reaction Effects On Unsteady 3d Mhd Williamson Nanofluid Flow With Thermophoresis And Brownian Motion Over An Inclined Stretching Sheet, Polavarapu Sudheer, Ramachandra Reddy Vaddemani, Raghunath Kodi

Mansoura Engineering Journal

This study examines the influence of Hall current and nth-order chemical reaction on unsteady three-dimensional magnetohydrodynamic (MHD) Williamson nanofluid flow over an inclined stretching sheet. The model incorporates thermal radiation, heat source, Brownian motion, and thermophoresis effects. The governing nonlinear partial differential equations are transformed into a system of ordinary differential equations using similarity transformations and solved numerically using the shooting method with a fourth-order Runge–Kutta scheme. The results indicate that an increase in the magnetic parameter significantly reduces velocity profiles while enhancing temperature and concentration distributions. The Hall parameter reduces surface drag and improves heat transfer, while decreasing mass …

An Intuitionistic Fuzzy Hypergraph Model Enhanced ‎By Forest-Of-Walks Dynamics For Medical Image ‎Segmentation, Brinthaguru Thangaraj, Karthick Palanisamy

Mansoura Engineering Journal

The process of accurately segmenting Urolithiasis and pulmonary nodules from medical images presents significant difficulties because of three main factors which include nonuniform intensity distribution and the presence of weak object borders and the uncertainty caused by anatomical structure overlaps. The study introduces F-Zinhger as a solution to these problems through its application of the Forest of Walks technology. The method uses superpixels as fundamental elements which form a multi-scale hypergraph that establishes hyperedges through three criteria: intensity similarity, spatial proximity, and Z-intuitionistic fuzzy hesitation to capture complex contextual connections. The system incorporates a random walk-based label propagation system. The …

Managing Multi-Drug Resistance: An Evolutionary Game Theory And Optimal Control Approach, Shukhrat Nasrulloev

Theses and Dissertations

Multi-drug resistance is an evolutionary process in which treatment eliminates sensitive cells, allowing resistant clones to dominate. This thesis investigates this process using a framework integrating population dynamics, evolutionary game theory, and optimal control theory. We develop a two-population logistic growth model describing competition between drug-sensitive and drug-resistant cells under treatment, construct dose-dependent payoff matrices and replicator dynamics to characterize evolutionary competition, and derive a critical drug level D_crit = (r_S - rR)/(dS - d_R) at which resistant cells gain a fitness advantage. An optimal control problem is formulated via Pontryagin's Maximum Principle to identify schedules …

Strengthening Ocean Literacy: Marine Science Education And Training To Ensure Australia's Blue Future, Prue Francis, Rachel Kelly, Louise Swanson, Tanveer M. Adyel, Benjamin Arthur, Kirsten Benkendorff, Melanie J. Bishop, Helen Bostock, Marnie L. Campbell, Emma Church, Corrine Condie, Vaibhavi Dwivedi, Michelle Dyer, Matthew England, Liam Fullbrook, Charlie Huveneers, Malcolm Johnson, Brianna Le Busque, Rebecca R. Mcintosh, Amelie Meyer, Benjamin Mos, Jana Mrazova, Allyson O'Brien, Gretta T. Pecl, Amandine Schaeffer, Rebecca J. Shellock, Grant A. Smith, Scott Smithers, Ana Vila-Concejo, Graham Wood

Research outputs 2022 to 2026

This white paper sets out a national vision for advancing ocean literacy in Australia and outlines the role of marine science in fostering an informed, engaged society capable of addressing the challenges and opportunities of our changing oceans. As environmental pressures intensify, and marine resource demands increase, Australians’ capacity to engage with ocean issues, understand risks and opportunities, and participate in marine decision-making has never been more urgent. Marine science will play a central role in building ocean literacy by delivering credible, actionable science, and strengthening education and training systems that enhance understanding of, and connection to, the ocean. Our …

Success Criteria: Sustainable Efficacy In Australian Farmer Groups, David K. Mckenzie, Janine Joyce, Kerstin K. Zander, Penelope A.S. Wurm, Kim M. Caudwell

Research outputs 2022 to 2026

Purpose: To examine the factors and processes that sustain the efficacy of farmer groups as extension intermediaries for influencing collective innovation, and knowledge co-creation and exchange. Design/Methodology/Approach: Data was collected from farmer interviews, focus groups, and the published digital documents of five farmer groups across SE Australia. A grounded theory mixed-methods approach was used for data collection and analysis, aided by Atlas software in constructing concepts and a concept map representing group processes. Findings: The ability of groups to influence farm innovation, and farmer learning and knowledge co-creation, depends on the group efficacy. Group identity in advancing farmer interests and …

Investigating Effects Of The Macroalga Caulerpa Prolifera On Restoration Of The Seagrass Halodule Wrightii In The Indian River Lagoon, Florida, Luciana M. Banquero

Graduate Studies Theses and Dissertations 2026

Seagrass restoration efforts have been motivated by global decreases in coverage associated with anthropogenic influences on the environment. In the Indian River Lagoon (IRL), FL, seagrass declined by 75% between 2011 and 2021. During this time, abundance of the macroalga Caulerpa prolifera increased substantially in the IRL. The macroalga is native to this estuary, however C. prolifera abundance has fluctuated widely in the past few decades. Being highly opportunistic, C. prolifera took advantage of areas formerly inhabited by seagrass. It is not known how dense, continuous beds of C. prolifera impact seagrass restoration projects or natural recovery of seagrass. Previous …

Shedding Light On Cellular Glycolysis Pathway Kinetics: Combining Kinetic, Mechanistic Modelling Approaches With Label Free Microspectroscopic Imaging. (Spectralomics), Nitin Patil

Doctoral

Cellular metabolism and its intricate biochemical mechanisms which allow the conversion of nutrients into energy to sustain life are well understood, leading to numerous breakthroughs in science and technology, human health and wellbeing. From an industrial perspective the pathway kinetics are significant for monitoring cellular bioprocesses, screening desired metabolite phenotypes in drug discovery processes, etc.

An initial review of glycolysis pathway kinetics highlighted the lack of sophisticated approaches to monitor the metabolic pathway kinetics as a function of time in a non-destructive, non-invasive, label-free manner. Fluxomics, a metabolomics based approach providing high-throughput insights, can be considered a gold standard approach, …

Semi-Supervised Learning For Annotation And Representation Of Single-Cell Rna Sequencing And Spatial Transcriptomics Data, Haoran Liu

Dissertations

Semi-supervised learning has emerged as a powerful paradigm for analyzing single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data, where full annotation is often costly or impractical. scRNA-seq technologies measure the expression of thousands of genes across tens of thousands of cells, whereas ST additionally captures the spatial coordinates of gene expression within intact tissue sections. Annotation is a key step in both scRNA-seq and ST analysis pipelines, aiming to identify cell types, spatial domains, and latent biological structures. However, most existing annotation approaches rely on separate clustering methods that are typically fully unsupervised and fail to leverage side information …

Entropic Forces Near Fluctuating Surfaces, Rubayet Hassan

Dissertations

Nanoscale structures are inherently dynamic due to persistent thermal fluctuations. Even in solid materials, these random deformations, driven by ambient thermal energy, can become significant when their characteristic scale approaches that of the structure itself and strongly influence their overall mechanical behavior. Examples of such structures include crystalline membranes, appearing in diverse forms such as nanotubes, nanoribbons, and kirigami/origami structures. Similarly, biological nanostructures, including lipid membranes, microtubules, actin filaments, and DNA, exhibit extreme flexibility and responsiveness due to their low bending rigidity. Numerous physiological processes are intrinsically linked to these thermal fluctuations, including exocytosis and endocytosis, membrane fusion, pore formation, …

Computational Methods For Single-Cell And Multi-Omic Data Integration And Regulatory Network Inference, Jianlan Ren

Dissertations

Single-cell and multi-omic technologies have transformed the dissection of cellular heterogeneity and regulatory dynamics in health and disease. However, the high dimensionality, technical variability, and biological complexity of these datasets present significant challenges for integration, annotation, and interpretation. In this dissertation, a suite of computational approaches is introduced to address key problems in single-cell and multi-omic data analysis through model-based innovations and applied statistical frameworks.

First, a constrained deep learning framework for single-cell data integration, label transfer, and clustering is proposed. By incorporating biologically motivated constraints into the training process, robust performance is achieved across simulated and benchmark datasets spanning …

Construction And Data-Driven Analysis Of A Stochastic, Individual-Based Opioid Epidemiology Network Model, Leigh Bennett Pearcy, Owen Queen, Vincent Jodoin, Suzanne Lenhart, Christopher Strickland

Mathematical Modelling and Numerical Simulation with Applications

While substance use epidemiology has been an active area of mathematical research in recent years, the social and mental processes that are involved in the development of substance use disorders have presented challenges to advancing the epidemiological theory and how they differ from the contraction of pathogenic disease. Such distinction is especially pertinent in the context of the current United States opioid epidemic and its intersection with the recent COVID-19 pandemic, as both prescription drugs and social influence play major roles in the development of opioid use disorder. In this paper, we construct a stochastic network model capturing how individual …

Efficient Task Allocation Technique For Robots In Smart Warehouse Using Center Of Items (Coi) Methodology, ‪Ahmed Yahya‬‏, Mohamed S. Saraya, Ahmed I. Saleh

Mansoura Engineering Journal

Nowadays, online shopping is very important in Daily life. in 2020 During the quarantine during the spread of COVID-19, online orders increased dramatically, as a result of the great progress in fifth-generation technologies and using the Internet of Things (IoT) and industrial Internet of Things (IIoT), industry 4.0 and 5.0, fog computing, cloud computing, robots systems, and drones systems. Smart warehouses picking system becomes a Basic need and can be implemented to improve efficiency in logistics. Smart warehouses are growing more dependent on robot systems to make the process of meeting these requests more flexible and effective. Therefore, the allocation …

Comparing Individual Vs Mixed Treatments Of Chicken Bone Meal And Crab Shell Meal On The Growth Of Capsicum Annuum (Bell Pepper), Allthur Rudy R. Arroyo, John Rafael V. Capinia, Ethan Jude R. Reyes, Elnathan Jethro B. Sumalbag, Karl Benedict E. Viri, John Ray Cordova Estrellado, Kerry P. Cabral

Sinaya: A Philippine Journal for Senior High School Teachers and Students

The recycling of nutrient-rich food waste reduces reliance on synthetic fertilizers, enhances soil quality, and improves plant growth. Existing studies have demonstrated the effectiveness of food waste, such as bone meal (B) and crab shell meal (S), as fertilizers; however, their combined use has not been investigated. This study aims to evaluate the effect of varying proportions of B and S fertilizers on the growth of Capsicum annuum (bell pepper) employing a random complete block design with 10 treatments (pure B, pure S, and a 50:50 BS mix, each at 7 g, 14 g, and 21 g) plus a control …

Morphometric, Physiological, And Environmental Health Assessments Of Enhalus Acoroides From The Southeast Coast Of Bali, Indonesia, Made Pharmawati, Luh Putu Wrasiati, Ni Made Gari

Journal of King Abdulaziz University: Marine Science

Seagrasses function as primary producers and as spawning grounds and shelter for marine biota. Regardless of their relevance, seagrasses are under threat due to anthropogenic impacts and an increasing frequency of extreme climate events. Enhalus acoroides is a species of seagrass that is spread in the east and southeast waters of Bali, from Sanur Beach to Nusa Dua Beach. This study aims to analyze the differences in morphometry and the chlorophyll, proline, and malondialdehyde (MDA) content, a marker for oxidative stress in E. acoroides leaves at Pengastian Beach, Semawang Beach, and Samuh Beach, Bali. Samples were collected using line transect …

Environmental Science And Sustainable Development: Behavioral Transformation To Knowledge System Integration For Sustainability Action, Ahyahudin Sodri, Herdis Herdiansyah

Journal of Environmental Science and Sustainable Development

Sustainability issues are now a global concern. However, knowing the root causes of problems and the target is not the only factor that constantly motivates change for the better (Wamsle & Osberg, 2022) as such change also requires encouragement from actors, including individuals, organizations, and communities. Therefore, the human aspect is crucial for the successful achievement of sustainability (Hariram et al., 2023). In other words, questions on sustainability are not just about "what should be done?" and also on “how to get people to do it?” and “why are currently available interventions not yet fully utilized?” …

Optimal Sizing Of Pv Water Pumping System For Off-Grid Rural Communities, Basma Abulkheir, Eid Gouda, A. A. Hegazi, Amir Abdel Menaem

Mansoura Engineering Journal

A large population worldwide lives in remote rural communities without access to electricity due to the limited reach of national transmission networks. This creates significant challenges in accessing water, hindering improvements in living conditions for off-grid communities. Photovoltaic water pumping systems (PVWPSs) offer a viable solution to this issue, but their sustainability must be examined due to the unpredictable nature of solar radiation. This paper presents a practical techno-economic approach to optimally size a PVWPS. A Particle Swarm Optimization (PSO) algorithm is employed, considering technical and economic indicators like life cycle cost, loss of load probability and PV curtailment rate. …

Systematic Literatur Review: Development Effectiveness E-Module Pbl-Based Learning To Improve Problem-Solving Skills In Ecosystem Material, Liziaruti Aurani Chong, Diana Vivanti Sigit, Ratna Komala, Rusdi Rusdi, Tri Handayani

Jurnal Pendidikan Sains

This study aims to analyze the effectiveness of developing e-modules based on Problem Based Learning (PBL) in improving students' problem-solving abilities in ecosystem material. The method used is Systematic Literature Review (SLR) by reviewing articles published in the period 2018–2025. The results of the analysis show that most of the research uses the descriptive method. Research and Development (RnD) with junior high and senior high school subjects, and produced N-Gain values ranging from 0.50 to 0.83, categorized as moderate to high. These findings demonstrate that PBL-based e-modules are capable of supporting the improvement of problem-solving skills through interactive, contextual, and …

Integration Of Islamic Values In Mathematics Learning, Ai Mulya, Surya Faradiba

Jurnal Pendidikan Sains

This study aims to identify the integration of Islamic values in mathematics learning and its contribution to student character development. The method used is a systematic literature study by reviewing relevant accredited scientific articles. The results of the study indicate that the integration of Islamic values is carried out through the preparation of Islamic-context-based mathematics problems, linking concepts to verses of the Qur'an and hadith, the application of ethnomathematics with Islamic cultural nuances, and the introduction of Islamic economic concepts. The dominant values that emerge include honesty, responsibility, discipline, justice, and piety. These findings indicate that the integration of Islamic …

Towards Computational Methods In Medical Data Analysis: From Speech And Text To Imaging, Kristin Qi

Graduate Doctoral Dissertations

Early detection of cognitive decline and efficient medical image analysis remain critical challenges in healthcare. Traditional clinical assessments are infrequent and resource-intensive, while everyday speech data and unlabeled medical images remain largely unexploited. This dissertation develops computational methods integrating machine learning and artificial intelligence across speech, text, and imaging modalities to address challenges in medical data processing. For cognitive monitoring, this work first introduces methods using voice assistant systems to collect longitudinal speech data in home environments, demonstrating that incorporating historical session patterns significantly enhances detection of mild cognitive impairment. Building on this foundation, a framework combining large language model-driven …