Digital Commons Network^™

The Assessment Of Soil Physico-Chemistry And Uptake Of Heavy Metals In Lumbricus Terrestris, Shahzad Anjum, Sidra Kanwal, Rana Manzoor Ahmad, Abdul Majid Khan, Muhammad Imran

Journal of Bioresource Management

Earthworms are considered ecosystem engineers, playing an essential role in soil fertility. Heavy metals are supposed to remain linked to soil for a very long time and can bio-accumulate swiftly in soil microbes, posing a severe threat to the environment. The current study was designed to investigate the bio-accumulation of heavy metals in Lumbricus terrestris and the impact of soil pH and texture on earthworm morphology and densities near industrial areas of the district of Okara, Punjab, Pakistan. The samples were collected from the locations of different industries using the quadrate method and analyzed for heavy metal accumulation by using …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …

Microtubule Self-Organization With Active And Passive Crosslinkers, Prashali Chauhan

Dissertations - ALL

Humans have always been trying to unravel principles that guide how things around us function, all the way from galactic ovements to basic building blocks of matter. The physical and chemical properties of ‘biological’ systems govern processes all the way from molecular interactions of proteins to the form and function of individual living organisms. In this work, I focus on the proteins which help give shape and structure to the smallest building block of life, the cell and associated mechanisms of building fundamental cellular architectures, like the mitotic spindle. Mitosis takes place by microtubules aligning themselves in anti-parallel fashion with …

Enterobacteriaceae Contamination In Locally Packaged Roasted Cashew Kernels From The Coast And Morogoro Regions, Tanzania, Douglas Mushi, Silvia Francis Materu

Tanzania Journal of Science

The increased sales of locally packaged roasted cashew kernels (RCK) in Tanzania reflect growing consumer demand for healthy, convenient snacks. Despite this popularity and frequently reported cases of gastrointestinal illness, the microbial safety of these plastic- bagged products is not well-documented, posing a potential public health concern. To address this, a study was performed to evaluate packaging hygiene, package integrity, and microbial contamination of randomly selected packages of RCK (small: n=99; medium: n=87; large: n=118) from vendors in Coast and Morogoro regions, Tanzania. Package integrity was assessed using a vacuum decay leak tester while microbial contamination on surfaces including RCK, …

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, Samar A. Salim, Galala University, King Faisal University, Badr University, National Research Centre, City Of Scientific Research And Technological Applications (Srta-City),, Badr University

Nanotechnology Research Centre

This study endeavours to craft a potent topical facial mask using electrospun nanofibers. The nanofibers were carefully fabricated based on loading of N-acetylcysteine (NAC) onto electrospun marine collagen (MC), and poly (methyl methacrylate) (PMMA) nanofibers. Through precise adjustments of electrospinning parameters, a uniform array of nanoscale fibres with a smooth surface was achieved. The morphology and chemical structure configuration of nanofibers (NFs) were examined using SEM, FTIR, and XRD analyses. Furthermore, the cytotoxic impact was assessed on a human normal fibroblast cell line (BJ1), while protein levels were gauged using the Bradford dye-binding assay (Coomassie assay). Also, the antioxidant potential …

The Implementation Of Indoor Urban Gardening: A Microgreens Pilot Study In A University Setting, Kathryn Chang, Samantha Brink, Annette Gadegbeku

Transformative Medicine

Introduction: “Food deserts” are geographical areas that lack affordable full-service grocery stores and have higher densities of unhealthy or “fast food” options. These deserts not only exist in communities such as Philadelphia, but also on college campuses. One solution to creating access to fresh vegetables is urban farming, which refers to green areas (i.e. community gardens) that provide places for food to be grown by local residents. Microgreens Health Outreach Project (HOP), aimed to build and implement a small, indoor community garden cart within the Health Sciences Building (HSB) at Drexel University; the organization hoped that this cart would be …

Perspectives On The Future Of The Profession Of Microbiology, Todd L Kelson, Heidi B Kaplan, Michelle Dziejman, Shilpa Gadwal, Irene Hulede, Jennifer Bennett, Roger Greenwell, Shelley Payne, Kyle Maclea, Eric Miller, Diana L Vullo, Rebecca Sparks-Thissen, Astral Bertolio, Jorge Cervantes

Faculty, Staff and Student Publications

The Profession of Microbiology (POM) embodies the bulk of the American Society for Microbiology (ASM) members and represents the career preparation arm of the ASM for academia, industry, and clinical lab professions. The ASM Council on Microbial Sciences hosted a virtual retreat in 2025 to identify the future of the POM. The retreat presentations centered on workforce development, professional development, innovations in technology, and interdisciplinary collaborations. Various aspects were identified, such as the need to prepare for careers in industry, as an important goal of future training. It was also clear that scientists, in all walks of life, need professional …

Neuroprotective Effects Of Aqueous Extract Of Bryophyllum Pinnatum Against Lead Acetate Induced Damage In The Cerebellum Of Rats, O. A. Bamgbose, O. D. Akanji, E. O. Olayemi, D. O. Taiwo-Ola, K. O. Odubela, B. A. Akanbi, P. B. Fakunle

AUIQ Complementary Biological System

Lead is a persistent environmental toxin with pronounced neurotoxic effects, particularly on the central nervous system. This study evaluated the impact of lead acetate on the cerebellar cortex of adult Wistar rats and assessed the neuroprotective effects of aqueous Bryophyllum pinnatum extract. Twenty adult Wistar rats (180–220 g) were randomly assigned to four groups (n = 5): Control (distilled water), T1 (0.075 mg/kg lead acetate), T2 (100 mg/kg B. pinnatum), and T3 (lead + B. pinnatum). Treatments were administered orally for 21 days. Cerebellar tissues were processed for biochemical and histological analysis, and data were analyzed using GraphPad Prism v10.1.Lead …

Advancing Skin Cancer Diagnostics: A Comparative Analysis Of Convolutional Neural Network Models For Skin Lesion Classification, Jesse Osuji, Tania Malik

SURE Journal: Science Undergraduate Research Experience Journal

For many years, skin cancer diagnosis and cancer research have been major focal points in the healthcare sector. Accurate classification of different types of skin lesions, including cancerous ones, is essential for proper diagnostics. Many machine learning (ML) techniques and models are used to solve various problems across various domains. One of such techniques is called neural networks. Convolutional Neural Networks (CNNs) are primarily used in computer vision-based problems, allowing computer systems to process and understand images. CNNs offer a potential tool for diagnosing skin lesions from images, occasionally demonstrating superior accuracy compared to trained dermatologists. This project explores various …

Will Technology Help Us Understand Animals?, Frances I. Sacks

Capstones

New technologies allow scientists to study animal communication like never before. Advanced surveillance devices ornament forests and oceans, recording animals over great stretches of distance and time. Artificial intelligence can absorb these enormous datasets, sorting tangled abstractions into coherent patterns. With a sufficiently robust library of analyzed data, some researchers believe that large language models will soon learn to translate whale communication systems.

https://docs.google.com/document/d/1ky6mPFjc-lNJFVK8CHebUa5zCSFUoMgkCB560pqxwfo/edit?tab=t.0

Discovery Of 5‑Chlorotryptophan-Containing Antibiotics Through Metabologenomics-Assisted High-Throughput Screening, Chantal D Bader, Isao Masuda, Angela Nichols, Edward Kalkreuter, Dong Yang, Thomas Christian, Yuko Nakano, Ya-Ming Hou, Ben Shen

Department of Biochemistry and Molecular Biology Faculty Papers

Actinomycetota bacteria have specialized in the biosynthesis of antibacterial natural products (NPs), and extract and fraction libraries made from those strains remain a promising source of NP drug leads. Herein, we present a high-throughput screen (HTS), based on engineered Escherichia coli strains expressing the human (Trm5) or bacterial (TrmD) m¹G37 tRNA methyltransferase, to discover NPs as novel anti-Gram-negative antibiotic leads. To harness the evolution of NPs with in vivo activity, the cell-based phenotypic HTS was applied to the Actinomycetota extract and fraction library at the Natural Products Discovery Center (NPDC), the Herbert Wertheim UF Scripps Institute for Biomedical …

Chaos Engineering In Multi-Gigahertz Solid-State Lasers: A Novel Approach To Optoelectronic Control, Mikhail V. Gorbunkov, Yulia Ya. Maslova, Yulia A. Sinichkina

Karbala International Journal of Modern Science

This paper presents a comprehensive study of a multi-gigahertz chaotic generator of light pulses based on solid-state laser sources, including fiber lasers, governed by carefully designed positive and negative feedback loops. It harnesses the inherent nonlinear dynamics within a solid-state laser controlled by a combination of two inertial feedback loops, enabling the realization of complex chaotic behavior, including the logistic map scenario, under moderate amplification conditions. The laser system dynamics are rigorously investigated through theoretical modeling, employing a nonlinear map approach, and high-resolution picosecond simulations. The results of our numerical simulations highlight the efficacy of fast electro-optical feedback system with …

A Modular Design And Construction Framework For Enhancing The Sustainability Of National Housing Projects In Egypt, Ayman Ahmed Ezzat, Farah Ibrahim El Sahzly

Mansoura Engineering Journal

Egypt’s national housing sector faces mounting sustainability challenges due to outdated design and construction practices that cause material waste, high costs, and inefficient resource use. This study develops a framework for integrating modular design and construction principles into Egypt’s National Housing Projects (NHPs) to strengthen their social, economic, and environmental sustainability. A mixed-method approach combined a literature review, case studies, and a survey of Egyptian Architectural Design Firms (ADFs). The literature review revealed a global consensus on the benefits of modular design and construction, such as improved efficiency, reduced waste, and faster project delivery, yet found limited adoption in Egypt …

The Cost Of Getting To “No”: Cultural Evolution Of Community Psychology In Two Indiana Communities, Catherine Cullen, Megan Peek

The Journal of Purdue Undergraduate Research

No abstract provided.

Effects Of Alcohol Exposure On Recognition Memory And Marble-Burying Tasks In Male And Female Aged Mice, Roma Kamat, Tori Burke

The Journal of Purdue Undergraduate Research

Alcohol consumption in aging humans is a risk factor for cognitive impairment. This experiment assessed the effects of binge-like alcohol drinking in aged mice on memory (using the object recognition memory [ORM] task) and on anxiety-and compulsive-like behavior (using the marble-burying task). Subjects were 8 female and 10 male mice, 14–15 months old, selectively bred for low alcohol preference (LAP). Mice consumed either tap water or a 20% alcohol (v/v) solution in tap water through a drinking in the dark (DID) procedure for 4 consecutive days per week, for 3 consecutive weeks. One and 11 days after DID, mice completed …

Substantial Contribution Of Woody Components To Rainfall Interception In Chinese Forests: Insights From A Refined Analytical Model, Zhi-Ang Chen, Zhi-Yun Jiang, Wei He, John T. Van Stan Ii, Et. Al.

Biological, Geological, and Environmental Faculty Publications

Assessing rainfall interception (I-R) is a critical yet uncertain aspect in hydrological cycle, particularly the quantification of relative contributions from leaves and woody components (e.g., branches, stems, and trunks) to I-R. Nevertheless, the role of woody components in I-R estimation remains largely unexplored and thereby has been constantly overlooked. This study addressed this challenge and refined the widely-used Gash model to distinguish woody interception (I-W) from leaf interception (I-L). We incorporated the spatial variability of vegetation traits alongside satellite data in 2019 into the refined model, and spanned China's major forest types. The refined model showed a strong agreement with …

Immunoglobulin Germline Reference Sequences Enable Investigations And Reveal Insights Into Bat-Specific Immunity, Ashley B. Reers, Shijun Zhan, Taylor Pursell, Clara Reasoner, Natasha Hodges, Tanya M. Lama, Tony Schountz, Hannah K. Frank

Biological Sciences: Faculty Publications

We generated a highly contiguous, annotated genome of the Jamaican fruit bat, Artibeus jamaicensis, including annotated germline immunoglobulin heavy-chain (IGH) and light-chain lambda (IGL) loci to understand bat B cell receptor repertoires. The bat germline shares many structures and features described in human immunoglobulin loci. However, some features are unique to A. jamaicensis, including an expansion of cysteine-rich IGHV genes. To investigate the relationship between the germline IGH locus and expressed B cell receptors (BCRs), we sequenced the BCRs of wild-caught and captive A. jamaicensis, finding an enrichment of IGHV3 and IGHV4 genes. Compared to humans, A. jamaicensis had shorter …

Exposures, Protections, And Barriers: Advancing Understanding Of Agricultural Worker Health, Alexandra A. Farfalla

Theses & Dissertations

Farming is a hazardous occupation. Exposures are multifactorial, variable, and shaped by overlapping tasks, environments, and social contexts. This dissertation aimed to illustrate the complexity of agricultural exposures and the barriers to protective practices through three complementary studies.

The first study examined co-exposures to solvents and noise as risk factors for hearing loss (HL) among 7,495 farmers and ranchers in a 7-state region. Results indicated nearly 60% of co-exposed participants reported hearing loss, with an adjusted odds ratio nearly six-fold (OR=6.03, [4.67-7.78]) for moderate/severe HL. This work highlights the importance of recognizing chemical exposures as a modality in HL in …

Public Perception About Covid-19 Vaccine Hesitancy In South Central Nebraska, Rita Nnenne Oparaocha

Biology Theses, Dissertations, and Student Creative Activity

The COVID-19 pandemic created a shift in the trajectory of vaccination hesitancy, altering risk perceptions and vaccination attitudes among individuals in rural communities. The 5C framework highlights confidence, complacency, constraints, calculation, and collective responsibility as influencing factors of vaccine hesitancy. This study assessed the proportion of adults who refused COVID-19 vaccination and identified the individual reasons for hesitancy among those who refused the COVID -19 vaccines in South Central Nebraska. Data was analyzed from a local cross-sectional public health survey administered to 2,034 adult participants over a six-month period (March-August 2024), including 91 respondents who were from outside the seven-county …

Comparisons Of Fish Communities Between A Restored And A Control Pool Of The Mississippi River: A Before-And-After Examination, Hannah Lenning

Biology Theses, Dissertations, and Student Creative Activity

The quality and availability of valuable backwater habitats have declined in many rivers, including the Upper Mississippi River (UMR), due to river modifications and land use change. Habitat Rehabilitation and Enhancement Projects (HREPs) are implemented by the Upper Mississippi River Restoration Program and often aim to mitigate accelerated sedimentation and degradation of backwater habitats. One HREP in Pool 12 of the UMR targeted overwintering fish habitat by restoring four backwaters within 14 RKM. Fish community data was collected before (2006-2012) and after (2020-2024) restoration in Pool 12 and a downstream, control reach, Pool 13. The first objective of my study …

Self-Assembling Rna Nanostructures Are Highly Sensitive To Environmental Conditions, Jordan Aposhian, Surya Pratap S. Deopa, Scott Horowitz, Joseph D. Yesselman

Chemistry and Biochemistry: Faculty Scholarship

Recent developments in RNA nanotechnology have led to an increase in the design of specific, higher-order RNA structures, which will ultimately be used in drug delivery and immunomodulation applications. As researchers create RNA nanostructures with the intention of making them a standard tool in molecular biologists' toolkits, further investigation is required into the robustness of RNA designs. Primarily, in what different molecular contexts are the designed and intended nanostructures stable? In this work, we show that RNA nanostructure self-assembly is highly sensitive to environmental conditions by using second-order right-angle light scattering. While a test RNA hexagonal grid nanostructure forms correctly …

Role Of Nadph Oxidase 4 In Murine Cancer-Associated Fibroblast, Faith M. Gomez

Theses & Dissertations

Breast cancer is the second leading cause of cancer deaths in women in the United States. Frontline hormone therapies for breast cancer prove ineffective in triple negative breast cancer tumors wherein the hormones estrogen, progesterone, and HER2 are downregulated or absent; therefore, patients diagnosed with triple negative breast cancer are primarily limited to chemotherapies which carry a higher failure and resistance rate. Here we target cancer associated fibroblasts as potential drivers of chemoresistance in triple negative breast cancer. We investigated the mechanism by which Nox4 regulates the YAP/TAZ pathway in modulating DTX sensitivity and sought to determine if targeting Nox4 …

Macroinvertebrate Community Dynamics In A Recovering, Hypersaline Estuary, Catherine M. Eckert, Claudia A. Tamez, Erin E. Easton, David Hicks

School of Earth, Environmental, & Marine Sciences Faculty Publications

The Bahia Grande is a 6,500—acre tidal basin located at the southernmost tip of Texas. Tidal flow into this coastal estuary was cut off in the 1930s, causing the basin to dry up for ~70 y. A pilot channel connecting the Bahia Grande to tidal waters was constructed in 2005, allowing flooding of the basin to occur. Throughout the period reported herein (2005–2019), the system remained characterized by persistent spatial and temporal episodes of extreme hypersalinity (>70)—a critical factor influencing estuarine community composition and driving key ecological processes. With additional rehabilitation actions forthcoming, characterization of the estuary is essential …

Integrating Traditional Ecological Knowledge And Environmental Science For Sustainable Lake Conservation: Danu Kerthi In Bali, Ni Kadek Surpi, Si Luh Nyoman Seriadi, Ni Wayan Jemiwi Jero

Journal of Environmental Science and Sustainable Development

This study investigates how the Danu Kerthi philosophy operates as a framework that integrates Traditional Ecological Knowledge (TEK) with environmental science to support sustainable lake conservation in three upstream lakes in Bali: Beratan, Buyan, and Tamblingan. While previous scholarship has largely focused on the normative and symbolic dimensions of Sad Kerthi, empirical evidence on its ecological effectiveness remains limited. To address this gap, the study adopts a multi-site qualitative design involving participatory observation, document analysis, and semi-structured interviews with 30 participants representing traditional leaders, Hindu priests, tourism managers, village officials, and local residents. Thematic analysis shows that Danu Kerthi continues …

Impact Of Gas Supersaturation On The Development Of Gas Bubble Trauma In Paedomorphic Eurycea Salamanders, Trent Furr

Biology Theses

There are eleven species of paedomorphic lungless salamanders endemic to Texas. Of these, eight are considered threatened by the International Union for Conservation of Nature (IUCN). One of these, the Barton Springs Salamander (Eurycea sosorum), is found only in springs and aquifers in and around Austin, Texas. A large population of this species is found in Barton Springs, located in Austin, TX–where dissolved gas saturation has been measured as high as 134%. Morbidity and mortality events in Barton Springs Salamanders have been documented coinciding with periods of dissolved gas supersaturation. This study seeks to understand what environmental conditions lead to …

A Comprehensive Review Of Dental Diseases Detection And Classification Based On Artificial Intelligence Techniques, Nermeen N. Noaman, Yasmin M. Alsakar, Naira E. Elazab, Waleed M. Mohamed, Mohamed E. Ezzat, Mohammed M. Elmogy

Mansoura Engineering Journal

In dentistry, many diseases, such as gum, cavities, and oral cancer, affect people of all ages. Early treatment and diagnosis are crucial for minimizing dental diseases' effect on overall health and saving money in the long run. Traditional dental diagnosis methods, such as manual probing and visual inspection, are time-consuming and can be subject to human errors. Hence, a computer-aided diagnosis system based on computer vision and artificial intelligence (AI) techniques is needed. The considerable progress in computer vision and AI techniques offers many possibilities in dental diagnosis based on dental X-ray imaging modalities. Dental X-rays are used to diagnose …

Evaluating Traffic Safety And Geometric Characteristics Using Machine Learning Ensemble Techniques: A Case Study Of Egyptian Rural Multi-Lane Divided Roads, Sania R. Elagamy, Ahmed N. Awaad, Usama E. Shahdah, Sherif M. El-Badawy, Marwa E. Elbany, Eman K. Ali

Mansoura Engineering Journal

Crash prediction models are essential for evaluating traffic safety by analyzing crash occurrence, frequency, or severity. Recently, machine learning techniques have gained prominence in statistical regression modeling and data analysis. This study assesses the effectiveness of machine learning in predicting crashes on Egyptian rural multi-lane divided roads using limited regional data. Supervised machine learning ensemble techniques were applied to predict crash-prone segments (classification) and estimate the total number of crashes per segment (regression). A comparative analysis aims to identify the most suitable method. The Synthetic Minority Oversampling Technique (SMOTE) addressed data imbalance, while K-means Clustering (KC) enhanced regression model accuracy, …

Understanding Pancreatic Islet Stress Responses And Developing Strategies To Improve Transplantation Grafts, Marlie Maria Maestas

Arts & Sciences Graduate Student Theses and Dissertations

Diabetes mellitus is a chronic metabolic disorder affecting millions worldwide, characterized by hyperglycemia resulting from defects in insulin secretion or action. While current treatments range from pharmacotherapy to experimental cell-based therapies, progress remains hampered by donor scarcity and an incomplete understanding of islet stress responses. This dissertation investigates cellular stress responses in pancreatic islets and strategies to improve stem cell-derived islet (SC-islet) transplantation. The first chapter provides an overview of diabetes pathophysiology, modeling approaches, and treatment options. In the second chapter, we use single-cell RNA sequencing to investigate cell-type-specific responses to diabetes-associated stress in primary human islets exposed to endoplasmic …

Rapid Detection Of Chicken Residues On Poultry Plant Surfaces Using Color And Fluorescence Spectrometry, Clark Griscom, Dongyi Wang, Corliss A. O'Bryan, Rimmo Room, Philip G. Crandall

Food Science Faculty Publications and Presentations

Color and fluorescence spectrometry were evaluated as rapid, objective tools for verifying the cleanliness of poultry-processing food-contacting surfaces contaminated with a model chicken solution across six common materials. Both techniques detected chicken residues at dilutions several orders of magnitude below human visual and olfactory thresholds, with stainless steel and blue plastic yielding the largest color differences between clean and contaminated states and fluorescence measurements remaining highly sensitive on all tested surfaces. Representative limits of detection were on the order of 1:50-1:100 dilution of chicken residue for color measurements on most surfaces and approximately 1:50 for fluorescence measurements, compared with human …

Hybrid Machine And Deep Learning Framework For Secure Fog-Based Vanets, Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

As a conventional implementation of intelligent transportation systems (ITS), a Vehicular Ad-hoc Network (VANET) facilitates smart communication between vehicle nodes and network infrastructures. Nevertheless, the distributed and dynamic characteristics of VANETs make them vulnerable to numerous cyberattacks like DOS and spoofing. Rapid detection of these threats is crucial. It is essential to respond promptly to mitigate threats before they impact vehicle coordination or infrastructure functionality. In this context, fog computing presents an effective solution. Transferring computational tasks from centralized cloud servers to fog nodes allows for quicker detection within the VANET environment. This research utilizes computational resources for swift and …