Assessing A Half-Century Of Change In Understory Plant Range And Frequency In The Klamath Mountains Of California, Emily Jean Jackson

Cal Poly Humboldt theses and projects

The effects of climate change have and will continue to impact plant communities, including by potentially shifting species’ ranges towards topographically sheltered, cooler locations or higher elevations. In 2024, I resampled 140 vegetation plots established in 1969 in the Klamath Mountains of Northern California to assess range shifts of 46 understory species over a 55-year period. During this time, the elevational distribution of all species has increased significantly by an average of 26.9 m, but this increase was slower than necessary to track historic temperature niches given regional warming (215-311 m). Despite this overall increase, only four species exhibited significant …

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …

A Comprehensive Overview Of Neurophysiological Correlates Of Cognitive Impairment In Amyotrophic Lateral Sclerosis, Seyyed Bahram Borgheai, Brie E. Achorn, Alyssa H. Zisk, Sarah M. Hosni, Karl E. G. Richter, Frank S. Menniti, Yalda Shahriari

Computer Science Faculty Publications

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that leads to the gradual loss of motor control, typically resulting in paralysis and death within 3 to 5 years of diagnosis. ALS shares neuropathological and genetic associations with fronto-temporal dementia (FTD), a neurodegenerative condition primarily impacting cognitive functions. These two conditions are increasingly viewed as manifestations of a single molecular disease process that affects distinct brain systems, impacting motor neuronal pathways in ALS and fronto-cortical functions in FTD. However, this simple dichotomy belies the complexity of these conditions. In particular, patients with primary motor ALS can also experience significant cognitive …

Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Identifying informative genomic features in SARS-CoV-2 can help clarify patterns of viral evolution. In this study, we developed an explainable convolutional neural network (CNN) model to classify SARS-CoV-2 genomic sequences into the WHO-designated Variants of Concern (VOCs), Alpha, Beta, Gamma, Delta, and Omicron. Using a balanced dataset of genomes, the classification CNN achieved 99.96% accuracy on the held-out test set. To interpret the model’s predictions, we applied SHapley Additive exPlanations (SHAP) to estimate the contribution of each nucleotide position to VOC-label prediction and compared aggregated attributions with a chi-square GWAS baseline applied to the same categorical labels. SHAP prioritized several …

Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge

Computer Science Faculty Publications

Medical imaging enables rapid and accurate diagnosis of COVID-19, with CT scans proving especially effective. However, data privacy concerns limit collaborative model development across hospitals. To address this issue, we introduce a novel federated learning framework. It is referred to as Independent Knowledge Distillation with post-Ensemble Federated Learning (IKDEFL). Differential Privacy (DP) is integrated into the framework to improve privacy guarantees. Three DP mechanisms are evaluated. These include Fixed Gaussian, Gaussian Adaptive, and Tree Adaptive. The evaluation has been conducted on heterogeneous and Non-Independent and Identically Distributed (Non-IID) datasets. These datasets reflect real-world hospital scenarios. Results show that IKDEFL significantly …

Larval Crowding In Culex Pipiens Generates Cumulative Cascading Effects Under Changing Environmental Conditions, Sengul Talay, Zafer Sakaci, Michele C. Weigle, Bugrahan Regaip Kilinc, Jenah Parman, Holly Gaff, Deniz Sirin, Bulent Alten, Dennis Bente, Sirri Kar

Computer Science Faculty Publications

Density-dependent population regulation is a fundamental driver in the population dynamics of living systems, ensuring a balanced and sustainable maintenance in nature. It has been suggested that the adverse developmental and morphological effect of high larval density in container mosquitoes represents a significant limiting factor for population density, and the need to investigate this possible importance within the framework of field-based principles has been emphasized. This semi-field study, conducted under the natural thermal regime and using a natural population in Turkish Thrace, aimed to examine the effects of non-food-limiting larval density (crowding effect) in the mosquito species, Culex pipiens ( …

Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug combination therapy in disease management gained popularity in the last few decades. Computational modeling of such combinations is an active area of research in the drug discovery domain. While earlier approaches solely emphasized on the structural features of participating drugs for designing synergistic models, they lack other crucial factors directly linked with drug administration - omics expressions. As differential omics expression is a downstream consequence of the administered drug combinations, utilizing such expressions while designing synergistic models promises robust and dynamic modeling. In this work, we propose SynergyLM that fuses multi-omics features with drug embeddings to build an omics-aware …

The Lysine Demethylase Kdm4c Is An Oncogenic Driver And Regulates Erk Activity In Kras-Mutant Pancreatic Ductal Adenocarcinoma, Menna-T-Allah Shaheen, Sarah Dhebat, Kimal I Rajapakshe, Bidyut Ghosh, Benson Chellakkan Selvanesan, Shariq S Ansari, Cara L Haymaker, Dorsay Sadeghian, Huamin Wang, Ching-Fei Li, Haoqiang Ying, Anirban Maitra

Faculty, Staff and Student Publications

Deregulation of proteins involved in chromatin regulation is common in pancreatic ductal adenocarcinoma (PDAC). Lysine demethylase 4C (KDM4C) is one of the chromatin-modifying proteins frequently overexpressed across multiple solid cancers and is linked to chromatin instability, increased cell proliferation, and enhanced stem cell–like behavior. We observed upregulation of KDM4C protein in a panel of human PDAC cell lines and patient samples compared with nonneoplastic controls. CRISPR/Cas9-mediated deletion of KDM4C in human and murine PDAC cells reduced proliferation, clonogenicity, and increased survival of orthotopically implanted murine PDAC allografts. Transcriptomic and proteomic analyses revealed that loss of KDM4C in both human and …

Prickle4 Drives Microenvironmental Remodeling And Resistance To Parp Inhibition In Idh-Mutant Glioma, Ju Yang, Hua Yang, Yifan Yuan, Chenyang Zhang, Ziwei Fu, Yanyan Chen, Yinghong Xiong, Shuyu Chen, Kexin Ling, Ying Liu, Jason T Huse, Bo Chen, Timothy A Chan, Zengxin Qi, Zhao Zhang, Xiuping Liu, Yuxiang Wang

Faculty, Staff and Student Publications

Mutations in isocitrate dehydrogenase (IDH) genes sensitize gliomas to PARP inhibition (PARPi) by inducing epigenetic reprogramming of DNA damage repair circuits. However, tumors treated with PARPi eventually relapse despite initial responsiveness. In this study, it is demonstrated that the anti-angiogenic agent lenvatinib synergizes effectively with PARPi, resulting in substantial tumor regression and significantly extended survival. Genomic analysis of tumors reveals that PARPi induces widespread transcriptomic changes that are predominantly pro-inflammatory, thereby promoting tumor angiogenesis. Prickle4, a planar cell polarity protein, is identified as a critical mediator of PARPi-induced neovascularization. Targeting Prickle4 effectively overcomes PARPi resistance in these tumors. Collectively, these …

T Cells Modulate The Development And Maintenance Of Painful Paclitaxel-Induced Peripheral Neuropathy In Rnu Rats, Ahmed Olalekan Bakare, Gerard Limerick, Vasudha Goel, Ratan K Banik, Lei Zheng, Andrew J Shepherd, Kristine Glunde, Qin Zheng, Eellan Sivanesan

Faculty, Staff and Student Publications

The role of T cells in chemotherapy-induced peripheral neuropathy (CIPN) is complex and shaped by biological and experimental factors, including sex, hormonal status, genetic background, and cancer model. This complexity has contributed to inconsistent findings among studies, limiting therapeutic progress. In this study, we investigate how T cells contribute to painful paclitaxel (PTX)-induced peripheral neuropathy (PIPN). Adult male T cell-competent (RNU+/−) and T cell-deficient (RNU−/−) rats were subcutaneously inoculated with tumor cells and subsequently treated with intraperitoneal PTX (8 mg/kg total dose). Reflexive (mechanical, heat, cold) and non-reflexive (burrowing, gait) pain behaviors were assessed from baseline through week 6. Immunohistochemistry …

Nampt Inhibition Uncovers Therapeutic Vulnerabilities To Venetoclax And Chemotherapy In Acute Myelogenous Leukemia, John R Sanchez, Chaomei Liu, Vishakha Pawar, Yanqing Huang, Daisy Diaz-Rohena, Jyotsana Singh, Priya Koppikar, Tzung-Huei Lai, Lisa St John, Vinay Puduvalli, Jeffrey Molldrem, Palaniraja Thandapani, Nitin Jain, Rosa Lapalombella, Deepa Sampath

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) cells depend on nicotinamide adenine dinucleotide (NAD

Clinical And Molecular Characteristics Of Patients With Young-Onset And Average-Onset Pancreatic Adenocarcinoma, Adriana C Gamboa, Kever A Lewis, Laura R Prakash, Zhouxuan Li, Wei Qiao, Dan Zhao, Mark W Hurd, Mahmoud Yousef, Naruhiko Ikoma, Michael P Kim, Jeffrey E Lee, Jessica E Maxwell, Ching-Wei D Tzeng, Matthew H G Katz, Rebecca A Snyder

Faculty, Staff and Student Publications

Purpose: The incidence of young-onset pancreatic cancer (YO-PC) has risen over the past two decades, yet its molecular characteristics and long-term outcomes remain poorly defined.

Methods: We retrospectively evaluated patients with PC treated at a tertiary referral center from 2016 to 2022 who had available molecular data. Patients were classified as YO-PC (≤50 years) or average-onset PC (AO-PC, >50 years). A subset analysis examined outcomes in those who underwent curative-intent pancreatectomy. Primary end points included overall survival (OS) and recurrence-free survival (RFS).

Results: Among 511 patients, 10.9% had YO-PC (n = 56; median age 44 years). Patients with YO-PC more …

Initial Experience With Remote Mri Scanning Support In An Oncology Focused Practice: Opportunities For Expanded Access To Radiology Care, Christopher M Walker, Maria G Maldonado, Megan C Jacobsen, Suprateek Kundu, Michelle L Underwood, Joshua P Yung, Brandy J Reed, David Jaffray, R Jason Stafford, Marshall E Hicks, Caroline Chung, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Background: As medical imaging demand grows, there is increasing stress on the currently available workforce to deliver consistent, high-quality imaging studies while ensuring rapid study turnaround times and round-the-clock radiology coverage. Advances in remote access technology facilitating remote scan assistance and control are now commercially available to address these pressing clinical needs.

Methods: This work evaluated an early clinical application of a virtual scanner operations system (syngo Virtual Cockpit (VA13A, Siemens Healthineers, Erlangen, Germany) for remote magnetic resonance imaging (MRI) monitoring and scan control at three geographically distant outpatient sites associated with our primary institution.

Results: The system facilitated execution …

Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao

Faculty, Staff and Student Publications

CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat, as a powerful genome engineering system, has been widely accepted and employed in gene editing of a vast range of cell types. Compared to zinc finger nucleases (ZFNs) or transcription activator-like effector nucleases (TALENs), CRISPR shows a less complicated process and higher efficiency. With the development of different CRISPR systems, it can be used not only to knock out a gene but also to make precise modifications, activate or repress target genes with epigenetic modifications, and even for genome wide screening. Here we will describe the procedure of generating a stable cell line …

Intratumoral Bacteria Are Immunosuppressive And Promote Immunotherapy Resistance In Head And Neck Squamous Cell Carcinoma, Natalie L Silver, Jin Dai, Travis D Kerr, Jessica Altemus, Rekha Garg, Hannah Simmons, Tyler Alban, Laura Noel-Romas, Vladimir Makarov, David J H Shih, Shwetha V Kumar, Akeem Santos, Rehan Akbani, Adam Burgener, Mohammed Dwidar, Neil Gross, Andrew G Sikora, Elias J Sayour, Apollo Stacy, Christian Jobin, Timothy A Chan, Renata Ferrarotto, Daniel J Mcgrail

Faculty, Staff and Student Publications

Despite the promise of immune checkpoint blockade (ICB) in head and neck squamous cell carcinoma (HNSCC), mediators of response are poorly understood. To address this, here we analyzed oropharyngeal HNSCCs treated with neoadjuvant durvalumab (anti-PDL1) alone or in combination with tremelimumab (anti-CTLA4) from the CIAO clinical trial ( NCT03144778 ). We found that only the total abundance of intratumoral bacteria predicted ICB response, which was validated in multiple independent cohorts. High intratumoral bacteria abundance was associated with an immunosuppressive tumor microenvironment, characterized by an accumulation of neutrophils coupled with depletion of T cells and other adaptive immune cells. Experimental elevation …

Ai-Powered Immune Cell Knowledge Graph (Ickg) With Granular Immune Contexts Enables Immune Program Interpretation, Shan He, Yukun Tan, Qing Ye, Matthew M Gubin, Merve Dede, Hind Rafei, Weiyi Peng, Katayoun Rezvani, Vakul Mohanty, Ken Chen

Faculty, Staff and Student Publications

The widespread application of single-cell and spatial omics to models and patient samples has transformed immune cell profiling across physiological conditions. However, knowledge of immune cell states, functions, and gene regulation remains fragmented across publications, limiting our ability to synthesize insights and derive mechanistic understanding from the literature. To address this gap and facilitate literature integration, we constructed Immune Cell Knowledge Graphs (ICKGs)-four cell type-specific graphs derived from over 24,000 cancer immunotherapy-focused PubMed abstracts using large language models (LLMs) with "human verifiable" validation. Unlike conventional databases, which provide context-agnostic pathways, ICKGs capture directed, literature-supported relationships among genes, pathways and immune …

A Gut-Activated Nhr-86-Cyp Pathway Mediates The Neuroprotective Effects Of Enterococcus Faecium Probiotics In A Nematode Model Of Amyotrophic Lateral Sclerosis, Yu Sang, Jie Ren, Alejandro Aballay

Faculty, Staff and Student Publications

Neurodegenerative diseases are often associated with oxidative stress, and while probiotics may influence neuronal health, the underlying mechanisms remain poorly understood. Using the sod-1 A4VM amyotrophic lateral sclerosis (ALS) model in Caenorhabditis elegans, we investigated the protective effects of the probiotic Enterococcus faecium against oxidative stress-induced neurodegeneration. Animals fed E. faecium showed reduced motor neuron degeneration under oxidative stress compared to those maintained on a standard Escherichia coli diet. Transcriptome analysis revealed a significant enrichment of oxidoreductase genes, including cytochrome P450 (cyp) genes. RNAi-mediated knockdown of cyp genes impaired E. faecium-mediated neuroprotection, and this loss correlated with increased reactive oxygen …

Poly(A) Probe Hcr Rna-Fish Specifically Marks Pyriform Nurse Cells In The Brown Anole Lizard Ovary, Zoe B Griffin, Bonnie K Kircher, Richard R Behringer

Faculty, Staff and Student Publications

Hybridization chain reaction RNA-fluorescent in situ hybridization (HCR RNA-FISH) is a powerful and increasingly used method for visualizing gene expression in cells and tissues. A probe set against polyadenylated RNA (poly(A)) is often used as a positive control for RNA integrity and staining quality. While optimizing this technique in the ovary of the brown anole lizard (Anolis sagrei), we found that the poly(A) probe produced a strikingly specific and intense signal in pyriform cells, a specialized lizard-specific nurse cell type. This staining pattern was found in both whole-mount samples and paraffin sections, suggesting that poly(A) signal intensity can serve as …

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 …

Event-Related Potential Variation In Response Accuracy: A Comparative Analysis Using Mne-Python, Akash Rajak, Sachin Umrao

Mansoura Engineering Journal

Event-Related Potentials (ERPs) are extensively employed in the examination of neural responses linked with cognitive processing and changes in brain activity. In this work, we conducted a comparative analysis of ERPs on a publicly available EEG dataset (122 subjects, alcoholic and control groups) with the help of the MNE-Python framework. The 64 electrodes for EEG were placed according to the international 10 - 20 system, and EEG was sampled at a 256 Hz sampling rate over 1-second epochs. The preprocessing pipeline consisted of 1 - 40 Hz bandpass filtering, noise reduction, spectral computation, and ERP waveform analysis. Temporal neural activity …

Effect Of Load Variations On Power Quality And Ev Battery Performance In Vehicle-To-Grid System, Jitender Kaushal, Rahul Paswan

Mansoura Engineering Journal

Vehicle-to-Grid (V2G) technology enables the exchange of electricity between electric vehicles (EVs) and the utility grid, helping improve the integration of renewable energy sources and the grid's flexibility. Load-dependent power quality disturbances can affect the performance and reliability of V2G systems, which in turn can negatively impact system and battery operation. This study investigates the effect of resistive, inductive and nonlinear loads on the electrical performance and battery behaviour of a bidirectional V2G system. A complete MATLAB/Simulink model was developed to investigate the grid voltage, current, frequency, THD and the battery voltage, current and state of charge. The model uses …

Reconfiguring Environmental Design Thinking: Artificial Intelligence As A Cognitive Partner In Sustainable Architecture – A Novel Hybrid Framework And Empirical Validation Study, Walaa Hussein Hussein Hanafi

Mansoura Engineering Journal

This study develops and empirically validates a Hybrid Cognitive Design Framework (HCDF) that integrates artificial intelligence, parametric design, and environmental simulation as a cognitive partnership system for sustainable architectural design. The research addresses a gap in existing studies, which have largely focused on the functional benefits of AI while giving limited attention to its influence on designers’ cognitive and ethical decision-making. A quasi-experimental study was conducted with 30 architecture students divided into two groups: an HCDF-assisted group and a traditional design group. Participants were tasked with designing a self-sufficient residential neighbourhood in Toshka, Egypt. Data were collected using Think-Aloud Protocol …

Harmonic Mitigation And Reactive Power Support Using Dpfc And Upfc In Grid‑Connected Solar Pv Systems: A Comparative Performance Evaluation, Abhishek Vashistha, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

Harmonic distortion, reactive power imbalance, and voltage instability represent major challenges regarding the power quality of grid-connected solar photovoltaic (PV) systems. Various recently developed flexible AC transmission system (FACTS) devices such as the unified power flow controller (UPFC) and distributed power flow controller (DPFC), however, have made them possible solutions but still do not provide a quantitative comparison in similar dynamic conditions. In this paper, comparative performance analysis of UPFC and DPFC in 3 MW grid connected solar PV system using Matlab Simulink is presented. The two controllers are affected by same disturbances, namely irradiance step change at t = …

Secondhand Books Industry Between Extinction And Challenges Of The New Millennium: Insights Urban And Architectural Considerations From Al-Azbakeya Book Market., Ahmed M. Selim, Heba M. Gaber, Nehal M. Elmahdy

Mansoura Engineering Journal

At the beginning of the 21st century, the printed and secondhand book industry has faced enormous challenges, particularly after the COVID-19 pandemic, when book consumers sought to engage directly with e-books. The Azbakeya Book Market in Egypt is one of the markets that confronts this challenge, while maintaining its distinctive historical character. This study aims to rehabilitate the secondhand book market in Al-Azbakeya district as a model that simulates the potential urban and sustainable architectural design strategies for reviving this industry. The study framework was comprised into four sections. First, "desk-based research" was conducted to discuss the secondhand book industry …

A Hybrid Geoid Model For The Perlis Region, Malaysia Based On Cadastral Reference Marks And A Geometric Approach, Muhammad Aiman Haiqal Abdul Malek, Muhammad Faiz Pa’Suya, Ramazan Alpay Abbak, Ami Hassan Md Din, Noorfatekah Talib

Mansoura Engineering Journal

This study presents the development of a high-resolution local geoid model for the Perlis region, Malaysia, using a geometric approach that integrates GNSS-levelling benchmarks with Cadastral Reference Mark (CRM) data. A total of 38 GNSS-levelling benchmarks were used as reference points, while 3,725 CRMs were incorporated to significantly enhance spatial coverage for geoid modelling. Orthometric heights at the CRM points were first determined by transferring heights from the reference benchmarks using gravimetric geoid information. Subsequently, geometric geoid heights were computed from the differences between ellipsoidal and orthometric heights. Five interpolation techniques were evaluated to generate the geometric geoid surface, namely …

Framing Inclusive Heritage Urbanism Reconfiguring Publicness In Mosque-Centered Precincts In Historic Cairo, Ghada Sayed Ghazala

Mansoura Engineering Journal

Mosque-centered precincts in historical cities face a continuous tension between touristic-led redevelopments, security management policies and urban life of commons. Recently in Historic Cairo state-led interventions occur in major mosque-centered settings with upgrading intent by enhancing visual order, crowd control and visitors’ experience, yet socio-spatial inclusivity stayed insufficiently incorporated in those implications. This study discourses this gap by initiating the Heritage Socio-spatial Inclusivity Framework (HSIF) to assess inclusivity across major mosque-centered realms – AL-Hussein Mosque & Al-Sayida Zeinab Mosque precincts -

HSIF synthesized urban design & heritage conservation concepts through indicators covering aspects like communal livability, users experience, governance & …

Development Of Enhanced Dingo Optimization Algorithm For Distribution Network Reconfiguration, Samson Oladayo Ayanlade, Ignatius Kema Okakwu, Richard Oladayo Olarewaju, Ayodeji Akinsoji Okubanjo, Joseph Bukola Samson, Oluwadare Adepeju Adebisi, Emmanuel Idowu Ogunwole, Oluwadare Olatunde Akinrogunde

Mansoura Engineering Journal

This paper presents the Enhanced Dingo Optimization Algorithm (EDOA) to reconfigure the radial distribution network with the long-standing problem of active power loss minimization while maintaining a stable and acceptable voltage profile. EDOA enhances the standard Dingo Optimization Algorithm (DOA) through the integration of adaptive search control, elite-guided local refinement, and crossover-based diversity preservation mechanisms tailored for distribution network reconfiguration problems. The proposed method has been tested on two test systems: the IEEE 33-bus standard as well as the real-world Ayepe 34-bus distribution feeder in Ibadan, Nigeria. In the IEEE 33-bus test system, EDOA reduces active power loss by 56.00%; …

The Effect Of Second-Order Slip In Hydromagnetic Eyring-Powell Flow: A Bvp4c Study, Ch. Maheswari, B. Naga Lakshmi, G. Dharmaiah, R. Mohana Ramana, B. Reddappa

Mansoura Engineering Journal

The steady-state Eyring–Powell boundary layer fluid flow past a moving surface is examined, considering various parameter implications. These include the wall mass transfer parameter (0.5  C   2.0), the magnetic field parameter (5  Mn 20), the velocity ratio parameter (0.1  λ1  0.7), Eyring-Powell fluid parameters (0.5 K 2 & 0.1 E 0.4), as well as the first-order velocity slip (0.1 γ 1.1) and second-order velocity slip (0.1 δ  0.4). By employing appropriate similarity transformations, the PDEs are reduced to a set of non-linear ODEs, which are subsequently solved using the bvp4c numerical technique and, an implication of key factors on shear …

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 …

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 …