Digital Commons Network^™

35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano

Department of Pediatrics Faculty Publications

HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …

Explainable Multi-Horizon Wind Power Forecasting Via Aquila-Optimized Machine Learning Models, Mostafa A. Abdelnaby, Nahla B. Abdel-Hamid, Eman M. El-Gendy, Mahmoud M. Saafan

Mansoura Engineering Journal

The inherently unpredictable nature of wind energy necessitates the development of sophisticated forecasting models to ensure grid stability and optimal distribution. In this research, we propose a novel and systematic approach to wind power forecasting (WPF) across diverse timescales. This approach leverages the power of various machine learning (ML) models, metaheuristic hyperparameter optimization, and utilizes explainable artificial intelligence (XAI). The developed methodology is based on the Aquila optimizer (AO), capable of automatically adjusting different ML models for four different time periods (30 minutes, 6 hours, 24 hours, and 36 hours) on the data collected from the Gabal El-Zayt wind power …

Preserving The Identity Of Historic Coptic Orthodox Monasteries In Egypt Under Contemporary Pressures: Case Studies Of St. Bishoy And St. Anthony Monasteries, George Medhat Adeeb, Mohamed Khairy Amin, Mohamed Ahmed Al-Sherbiny

Mansoura Engineering Journal

Historic Coptic Orthodox monasteries in Egypt (HCOMEs) represent an important component of Christian heritage, integrating architectural value with enduring spiritual traditions that reflect both tangible and intangible dimensions. However, contemporary development and changing functional demands are generating transformations that may affect their identity if not carefully managed. Despite extensive scholarship, limited research has systematically examined these transformations through a structured evaluative approach. This study addresses this gap by developing and applying an analytical and evaluation framework to examine how contemporary pressures influence the historical, architectural-spatial, and spiritual identity of HCOMEs, and to assess the effectiveness of monastic responses. The framework …

The Multiwalled Carbon Nanotube-Incorporated Cfrp Laminates Interlaminar Fracture Toughness, Nikhil Janardan Rathod, Markala Karthik, Harshvardhan P. Ghongade, Javed Sikandar Shaikh, Rahul Soma Deshmukh

Mansoura Engineering Journal

The structural integrity of carbon fibre reinforced polymers (CFRPs) suffers from damage caused by interlaminar cracking and delamination which diminishes their performance capabilities. This study provides an experimental analysis of the impact of carboxyl-functionalized multi-walled carbon nanotubes (MWCNTs) on the Mode I interlaminar fracture toughness of CFRP laminates. The researchers created composite specimens by using epoxy systems which included MWCNT loadings of 0.1 wt% 0.2 wt% and 0.3 wt% together with an unmodified control. The researchers conducted Double Cantilever Beam (DCB) testing according to ASTM standards to ascertain the rate of critical strain energy release (G_IC) of the material. The …

Data Collection Algorithm Based On Regression Analysis, Aiming To Minimize Data Processing Delays In 6g-Enabled Iot Networks, Archana Rajendra Mane, Sachin Vasant Chaudhari

Mansoura Engineering Journal

Researchers are currently investigating 6G wireless communication technologies because they can offer ultra-low latency, high data rates, and smarter network management than 5G. IoT services have spurred the development of cutting-edge technologies such as quantum communications, terahertz (THz), and artificial intelligence (AI), all of which are expected to be included into the subsequent generation of 6G networks. This paper presents a regression-based data collection algorithm for 6G-enabled IoT networks that dynamically prioritizes data through Random Forest regression. With a Mean Absolute Error (MAE) of 0.62 ms and a Root Mean Squared Error (RMSE) of 0.83 ms, the proposed method can …

The Role Of Dromedary Camels In The Pprv Epidemiology: Episystem Possibility And Evidence Supporting Global Eradication., Reham Karam, Mahmoud S. Safwat

Mansoura Veterinary Medical Journal

Background: Peste des petits ruminants (PPR) is a notifiable, highly contagious and transboundary viral disease infecting a wide range of domestic and wild ruminant species and is caused by a morbillivirus. The disease represents a major predisposing factor of poverty in many endemic regions. Although global eradication of PPR is an internationally endorsed objective, achieving this goal has become increasingly challenging due to the expanding host range of the virus. Methods: Narrative review methodology was used and SANRA criteria to access reliability and quality of the methodology. focuses on PPR infection in camels, which has been reported in some instances …

Advancing Ultrahigh Carbon Steel Characterization: A Metaheuristic-Tuned Deep Learning Approach, Walaa Omar El-Farouk Badr, Hossam El-Din Mostafa, Rania Elbana

Mansoura Engineering Journal

Accurate classification of ultrahigh carbon steel (UHCS) microstructures is essential for elucidating processing-structure-property relationships and enhancing material performance. While convolutional neural networks (CNNs) offer powerful automated classification, navigating their complex, high-dimensional hyperparameter spaces present a significant computational bottleneck. To advance automated materials characterization, this study proposes a metaheuristic-tuned deep learning approach for robust and efficient microstructure classification. Two architectures, VGG16 and MobileNetV2, were evaluated under both pretrained and fine-tuned configurations, with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Ant Colony Optimization (ACO) applied for systematic hyperparameter tuning. Results show that GA substantially improves the performance of fine-tuned VGG16, achieving …

To Flea Or Not To Flea: Abiotic And Biotic Factors Driving Flea Parasitism On Wild Deer Mice, Parker Todd, Angela Luis, Mike Kinsella

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Deer mice (Peromyscus maniculatus) are an abundant North American rodent and the primary reservoir for Sin Nombre virus (SNV), a hantavirus with a 30-40% case fatality rate in humans. While ectoparasites, such as fleas, are not considered vectors of SNV, their bites may indirectly affect the transmission of SNV by impacting host condition or immune function. These impacts could potentially lead to an increase in host susceptibility and/or an increase in viral shedding, yet there is still little knowledge on what influences flea parasitism on deer mice in western Montana. This study looks to examine how mouse sex, …

The Sub-Lethal Effects Of Trematode Parasites On The Migratory Behavior Of Lesser Scaup (Aythya Affinis), Scott Alan Herman

Graduate Research Theses & Dissertations

The introduction of the invasive freshwater faucet snail (Bithynia tentaculata) and its associated parasites in the Upper Mississippi River and Great Lakes Region provides the opportunity to investigate how anthropogenic stressors impact the life history of lesser scaup (Aythya affinis) using the Mississippi Flyway. To understand the life histories and interactions between lesser scaup and faucet snails we examined historical records, research, and ecology textbooks. Our literature review identified critical knowledge gaps in lesser scaup literature surrounding population dynamics, reproduction, and migration. Specifically, the sub-lethal effects of invasive trematodes on the migratory behavior of lesser scaup in the Upper Mississippi …

Coordinating The Layers: Regulation Of Peptidoglycan Synthesis And Cell Wall Assembly In Mycobacterium Smegmatis By Murj And Pgfa, Karen Emmanuella Samaga-De-Tembiwa

Biology Dissertations

The mycobacterial cell envelope consists of three covalently linked layers whose synthesis must be coordinated to maintain structural integrity during polar growth. While the biosynthetic enzymes for each layer are well characterized, the molecular mechanisms that coordinate synthesis across layers have remained poorly understood. This thesis investigates two essential transmembrane proteins, PgfA and MurJ, that regulate peptidoglycan metabolism in Mycobacterium smegmatis and provide new insight into how mycobacteria synchronize cell wall assembly.

We present evidence that PgfA functions as a bifunctional regulator that links peptidoglycan metabolism to the availability of trehalose monomycolate (TMM), a key mycolic acid precursor. Through epistasis …

Disrupted Circadian Rhythms Affect Hallmark Pathologies In Alzheimer’S Disease-Related Mouse Models, Valeria Buzinova

Theses and Dissertations--Molecular and Cellular Biochemistry

Alzheimer’s Disease (AD) is a complex neurodegenerative disease with two hallmark pathologies: extracellular amyloid-b (Ab) and intracellular neurofibrillary tangles (NFTs). Ab is proteolytically processed from amyloid precursor protein (APP) by b-secretase and g-secretase as a monomeric peptide prone to aggregation. Eventually, the aggregate-prone monomers will form dense plaques that are difficult to break down and remove. These plaques begin to deposit into the cortex decades prior to the formation of NFTs and the onset of cognitive decline. NFTs are comprised of hyper-phosphorylated tau. Tau is a protein that serves to promote and stabilize the formation of microtubules. The formation of …

Social Isolation Predicts Altered Reward Circuit Connectivity And Future Behaviors In Adolescents, Mason Lucas

2026 Research Poster Competition

Adolescence is a period of transition from childhood to adulthood when people explore risky behaviors. Stressors during adolescence can change structural brain connectivity. Previous research has found weaker structural connectivity between reward circuits and future cognitive impairments among children raised in orphanages. Comparative research in mice suggests that social isolation after bullying can damage these connections and induce alcohol seeking. We tested whether social isolation was related to lower connectivity of targeted structural connections in adolescent humans. We analyzed data from the Adolescent Brain Cognitive Development study and found 130 subjects had experienced extreme social isolation. To evaluate the level …

Moving Towards Defining The Evolutionarily Ancient Role Of Notch Signaling In Animals., Paige Norris

2026 Research Poster Competition

The notch signaling pathway is deeply conserved across animals from humans to sponges. It functions through direct cell-to-cell communication, where ligand binding triggers the cleavage of the Notch receptor’s intracellular domain (NICD), which then translocates to the nucleus to regulate transcription. In bilaterian lineages—animals with bilateral symmetry— Notch signaling is known to regulate binary cell fate decisions in diverse contexts ranging from neurogenesis to cancer. However, the functions of Notch signaling in early-branching animals, including cnidarians (e.g. jellyfish, corals and sea anemones), are still not fully understood; consequently, evolutionarily ancient roles of Notch remain ill-defined. To address this fundamental knowledge …

Characterization Of Microrna Expression In Neuron-Enriched Extracellular Vesicles During Early Life, Allison Molen

Theses and Dissertations

Extracellular vesicles (EVs) are membrane-bound sacs released by cells that carry molecular cargo reflective of their cell of origin. EVs enriched using L1 cell adhesion molecule (L1CAM) as a marker of putative neuronal origin can cross the blood–brain barrier and provide a minimally invasive window into brain-related processes. Exosomal microRNA (miRNA) regulate gene expression and have been implicated in psychiatric disorders, including major depressive disorder (MDD). However, measuring and analyzing miRNA from L1CAM-positive EVs presents substantial analytical challenges due to low abundance and sparse detection across samples.

Plasma samples from participants recruited through the Mid-Atlantic Twin Registry (MATR) were used …

Comparative Spatial Biology: A Cross-Species Analysis Of Canine Oral Cancers As Models For Human Disease, Ram Pradhyumnan

Honors Undergraduate Theses

Oral squamous cell carcinoma (OSCC), one of the most common malignancies of the oral cavity, remains a clinically challenging disease due to its aggressive behavior, late-stage diagnosis, and limited improvements in therapeutic outcomes over recent decades. A significant barrier to progress in OSCC research and treatment is the lack of suitable preclinical models that recapitulate the complexity and natural progression of the disease. Most current models—including cell lines, xenografts, and genetically engineered mice—fail to capture key features such as the spatial organization of tumor epithelium, interactions with an intact immune system, and the stepwise evolution from normal mucosa to invasive …

Generating Genomic Resources For The Pink Sundew And Its Specialist Herbivore Moth From A Single Gene To Entire Genomes, Kerissa F. Tarpley

Honors Undergraduate Theses

Genomic resources are critical for the conservation of threatened species, providing valuable insights into genetic diversity, population structure, and adaptive potential. This thesis focuses on two ecologically interconnected species: the carnivorous plant pink sundew (Drosera capillaris) and its specialist herbivore the sundew plume moth (Buckleria parvulus). The sundew and plume moth face an uncertain future as their vital bog habitats continue to disappear. The sundew plays a crucial role in the life cycle of the plume moth, which relies on the sundew during its larval stages for survival. To aid in species detections, I first generated …

Assessing The Impact Of Storing Water Samples At Ambient Temperature On Plankton Metabarcoding, Stephanie N. Lievano

Honors Undergraduate Theses

Increasing incidence of Harmful Algal Blooms (HABs) has led to fish kills, air quality hazards, and economic impacts. One economic impact is on tourism, one of the main sources of Florida’s income, where billions of dollars are lost to such events. The Florida Fish and Wildlife Conservation Commission Fish and Wildlife Research Institute (FWC-FWRI), with the help of collaborators, collects water samples from across the state for HAB monitoring. These samples are stored at ambient temperature for up to 24 hours which could directly affect data analyses. Here, in collaboration with FWRI-FWC, I investigated whether this storage technique affects plankton …

Analyzing The Loss Of Material From A Non-Plastic Oyster Reef Restoration Alternative, Lindsay M. Dolan

Honors Undergraduate Theses

Oyster reefs are declining globally due to human impacts such as overharvesting, boat wakes, and climate change. Associated ecosystem services, including water filtration, fish and invertebrates’ habitats, and shoreline erosion protection, are lost when these reefs disappear. Traditionally, restoration efforts employed plastic mesh shell bags filled with recycled oyster shells as they provide recruitment substrate for new oyster spat and wave attenuating properties to protect shorelines. Due to rising concerns over microplastic pollution, non-plastic alternatives are being tested. Alternative restoration material must provide the same benefits to reef formation while maintaining structural integrity long enough for a healthy reef to …

Quantifying Amendment Impact On Microbial Respiration Rate, Qwynn Starrwalker

Honors Undergraduate Theses

Wetlands play a critical role in the global carbon cycle by acting as carbon sinks, where the flooded anaerobic conditions cause slow microbial respiration compared to other soils. Comparatively more carbon is stored in the soil as organic matter than is released as carbon dioxide (CO₂). Making wetland pools of soil organic matter less available to microbes for respiration could reduce overall atmospheric CO₂ and slow global warming. This study examined the effect of kaolinite, goethite, and lime on microbial respiration rates in wetland soils under alternating hydrologic conditions. Homogenized soil from a cypress dome was separated …

Dna Half-Adder Based Calculator Driven By 4j Molecular Switches, Andrea Gissele Canizalez Covaleda

Honors Undergraduate Theses

DNA nanostructures have computing functions due to the predictable base pairing of nucleic acids (Watson–Crick). This property allows the programming of DNA circuits that integrate DNA logic gates capable of recognizing oligonucleotides. This molecular device offers the advantages of biocompatibility and potential applications in personalized medicine for diagnosis and therapies.

Our lab has developed DNA logic gates formed by the connection of YES strands via DNA four-way junctions (4J), which can function as molecular switches to develop a DNA-based calculator. Our DNA half-adder calculator nanostructure is designed to recognize up to three combinations of DNA inputs using three DNA strands …

Soil Texture Does Not Affect Multi-Mutualist System Benefits In Prairie Legumes, Ambrose O. Cook

Senior Honors Theses and Projects

No abstract provided.

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Artificial Neural Network Based Protection For Dc Bus Using Solid State Dc Breaker, Eswaraiah Giddalur, Askani Jaya Laxmi

ASEAN Journal on Science and Technology for Development

Low voltage Direct Current (LVDC) microgrids have been extensively used as a hopeful technology with high access to distributed energy resources (DERs) and DC loads, due to the absence of multiple conversions. A high amplitude Fault current together with the vulnerability of electronic devices, poses a great challenge to the line protection in LVDC microgrids. Electromechanical switches are slow and take long tripping time to clear the short circuit fault. Power electronic circuit breakers are used to achieve fast fault interruption recent progress in areas like machine learning and natural language processing have affected nearly every assiduity and area of …

Unlocking Green Potential In Indonesian Small Medium Enterprises: Challenges And Opportunities For Sustainable Vermicelli Production, Togar W. S. Panjaitan, Karina Agustin, Prayonne Adi, Jani Rahardjo, I Nyoman Sutapa

ASEAN Journal on Science and Technology for Development

Due to limited initiatives and support, the transition to green manufacturing among small and medium enterprises (SMEs) in developing countries remains challenging. Through a critical literature review and case study of the Indonesian vermicelli industry, this study highlights the importance of collaboration and strong policies to address this. Other findings also reveal that the energy intensity and emissions in the sector exceed best practice benchmarks, with the cooking and drying stages contributing significantly to emissions due to high energy consumption. Lack of government regulations, company awareness, and understanding of applicable practices and technologies creates challenges in green manufacturing. The study …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …

Ai-Assisted Hybrid Ga–Pso Channel Allocation Under 3gpp Tr 38.901 Uma For Efficient 5g Radio Resource Management, Sharada Narsingrao Ohatkar

ASEAN Journal on Science and Technology for Development

The increased traffic and heterogeneity in the 5G/B5G network require efficient radio resource management (RRM). However, the existing methods, such as GA and PSO, have poor convergence speed and require proper initial conditions. Additionally, learning-based methods have high computational complexity. Hence, in this paper, a novel AI-assisted Hybrid Channel Allocation (AI–HCA) framework is proposed by using a support vector regression (SVR)-based predictive initialization method and GA-PSO optimization. Simulation results using the 3GPP UMa channel model show that the proposed method has a 28% reduction in call blocking probability (CBP), a 15-25% enhancement in spectral efficiency (SE), and a 18-25% enhancement …

Assessing Decision Making Of United States Arboreta: A Survey Of The Main Drivers Behind New Planting Selections, Sophia Reavley

Theses and Dissertations

When an arboretum needs to replace fallen specimens, what are they looking for in the new plant that will be added to the collection? Arboreta are locations where trees and shrubs can be studied in an area where the public can also enjoy them. This study looks to see what aspects of scientific value (conservation status, diversification, ornamental value, etc.) and what external factors (budgets, public opinion, research articles, etc.) of new species selections become the main driver in decision making. An anonymous online survey was used to collect data from arboreta and botanical gardens of the United States that …

The Effect Of Sex On The Signal Transmission Of Duetting Bay Wrens, Rachel C. Schinzler

Theses and Dissertations

During communication, senders send signals for their benefit to elicit a behavioral response from a receiver. Acoustic signals are efficient for long-distance signaling; however, they are influenced by environmental features, such as foliage density, humidity, temperature, and time of day. Individuals can overcome these challenges by using signals with a trajectory of peak frequency, frequencies, volumes, and timing best suited to signal transmission in their environment. Signal transmission has been studied at the species level; however, not much is known about sex differences within the same species. Duetting species provide a useful system for examining sex-specific challenges in transmission, as …

Impact Of Social Media On Acne Treatment Practices In Egypt, Hadeer Fathy, Moheiddin Fakhry Alghobary, Nada Mohmed Elhadidy, Sara Hamdy Fouad

Mansoura Medical Journal

Background: Acne is one of the most prevalent global diseases, affecting up to 85% of adolescents and young adults and contributing to significant psychological burden. Despite available treatments, many patients rely on social media for guidance, where misinformation and unauthorized drug promotion can negatively influence Acne Vulgaris management.

Aim: The aim of this research is to determine the influence of social media information on the selected treatment method of Egyptian patients with Acne Vulgaris

Patients and methods: This is cross‑sectional study targets Acne Vulgaris patients aged ≥15 with current or past AV who use social media. Data was collected through …

Impact Of Autonomic Dysfunction On Quality Of Life In Patients With Parkinson's Disease: A Single-Center Exploratory Study, Hadeer Elsaeed Aboelfarh, Ahmed S. Alkotami, Mohamed Galal Elkhateeb, Aya Zhran

Mansoura Medical Journal

Background: Autonomic dysfunction represents one of the major non-motor manifestations of Parkinson’s disease (PD) and can negatively influence patients’ health-related quality of life (QoL). This study investigated the frequency and severity of autonomic symptoms in individuals with PD and examined their relationship with QoL in a single-center cohort.

Methods: Thirty patients with idiopathic PD were assessed for autonomic dysfunction, quality of life, and motor severity using validated PD–specific rating scales.

Results: Among the autonomic subdomains, urinary symptoms demonstrated the greatest degree of impairment (median score 41.67%) and showed the strongest correlation with overall PDQ-39 scores (r=0.605, p≤0.001). Higher …