Digital Commons Network^™

Development Of An Automated Platform For Cell Biology Experiments, Dipendra Nepal

Shelby Hall Graduate Research Forum Posters

Cell biology experiments involve repetitive tasks such as pipetting, sample preparation, and imaging, which are typically performed manually. These manual processes can introduce variability, reduce efficiency, and increase the cost of biomedical research. To address these challenges, our lab is developing a modular robotic platform, iEye™, to automate key steps in cell biology workflows [1]. The system is designed as self-contained modules, allowing flexible development and integration of different functionalities. In this work, we focus on a sample preparation module that integrates a 6-degree-of-freedom robotic arm, a motorized stage, and a pneumatic pipetter. This module is being developed to automate …

Jaundease Phototherapy Vest Test Plan, Sujay Panthulu, Jasdev Banwait, Gwynn Moss, Solomon M. Fernandez

Biomedical Engineering

Neonatal hyperbilirubinemia is a common condition affecting more than 60% of newborns, caused by an excess buildup of bilirubin in the blood due to the liver’s limited ability to process it efficiently [1]. The standard treatment involves hospital-based phototherapy, where infants are placed in incubators under blue light to break down bilirubin in the skin. Although effective, this approach requires infants to remain under the lights for 12–18 hours per day, often with eye protection, and separated from their parents—disrupting early bonding and potentially contributing to toxic stress that can impact neurological and emotional development [2]. While at-home phototherapy solutions …

Improving Cellular Retention And Distribution To Promote Arteriogenesis In A Mouse Model Of Chronic Arterial Occlusion, Nancy Huang

Biomedical Engineering

Peripheral Arterial Occlusive Disease (PAOD) affects millions of people in the United States, creating pain, discomfort, and limited mobility due to restricted blood flow from obstructed arteries. While current treatments include lifestyle changes and revascularization procedures, these options are often insufficient or inaccessible because of procedural pain and socioeconomic barriers. In some cases, this can lead to critical limb ischemia and amputation as a last resort. Increasing blood flow to the extremities by enhancing collateral vessel growth, a biological process called arteriogenesis, with cell-based therapies can redirect blood flow around obstructions and has potential to mitigate and treat the effects …

Iud Insertion Pain Management, Sandhya Sridhar, Olivia Armas, Lucy Campochiaro

Biomedical Engineering

This project focuses on developing an atraumatic cervical stabilization device that serves as a modern alternative to the traditional tenaculum used during IUD insertion procedures. Current devices rely on sharp metal prongs that pierce the cervix and often cause significant pain and bleeding. The goal of this project is to design a device that provides the same stability and control for clinicians while eliminating the need to puncture cervical tissue. The device is intended to be used by gynecologists, nurse practitioners, physician assistants, primary care physicians, or any medical professional performing an IUD insertion. The device is intended to be …

Orthopedic Bone Drill, Logan G. Schmid, Matthew T. Wold, May Geng

Biomedical Engineering

This project aims to design a bone drill for orthopedic procedures which alleviates the heat generated in the bone during drilling.

Development Of A Framework For Identifying Asphalt Pavement Cracking Distresses Using Machine Learning, Dingxin Cheng

Mineta Transportation Institute

Asphalt pavement cracking is one of the most critical distresses affecting pavement performance and service life. When pavement deteriorates, it can lead to safety hazards, higher vehicle maintenance costs, and expensive repairs for cities and states—making early detection essential for everyone who relies on the roadway system. To address this challenge, the research team developed a prototype cracking identification system that integrates a customized machine learning model with computer vision algorithms. High-resolution images collected from drones or ground-based cameras are processed within the system to automatically detect and classify major cracking types. The core of the framework utilizes the You …

Evaluation Of Sanafoam Vaporooter Ii Stress On Activated Sludge Performance For Carbonaceous Removal And Nitrification, Ensiyeh Taheri, Ali Fatehizadeh, John Nazimek, Mustafa Nabi, Wayne Bagg, Amir Razmjou, Paul Nolan, Ratish Permala, Mehdi Khiadani

Research outputs 2022 to 2026

Root intrusion control in sewer pipelines often relies on chemical herbicides, yet their unintended impacts on downstream biological treatment remain underexplored. This study investigated the effects of Sanafoam Vaporooter II (SVII) on carbon removal and nitrification in activated sludge reactors (ASRs) under long-term operation. Two parallel bench-scale ASRs were installed and operated at Subiaco municipal wastewater treatment plant in Perth, Western Australia: one was exposed to incremental SVII concentrations (1–3000 mg/L), while the other served as an unamended control. Stoichiometric analysis revealed stable organic matter removal across all SVII doses. In contrast, nitrification decreased progressively at concentrations exceeding 128 mg/L. …

N-Dqn: Neutrosophic Deep Q-Network For Uncertainty-Aware Forecasting And Decision Optimization, Rania Lutfi

Neutrosophic Systems with Applications

Uncertainty remains a critical challenge in dynamic spatiotemporal forecasting. This study proposes the Neutrosophic Deep Q-Network (N-DQN), a framework that integrates neutrosophic logic with deep reinforcement learning to enhance decision optimization under uncertainty. Features are modeled through truth, indeterminacy, and falsity membership functions, enabling robust handling of ambiguous data. The framework incorporates attention-guided preprocessing and horizon-aware optimization to adapt predictions across short- and long-term intervals. Experiments on benchmark traffic datasets (METR-LA and PEMS-BAY) demonstrate improved forecasting accuracy and reduced error rates compared with established baselines. The results highlight the scalability and resilience of N-DQN, positioning it as a promising approach …

Optimized Deep Learning Framework With H2o For Lung Cancer Prediction, Walaa Hassan Ibrahim, Mohamed S. Saraya, Sally M. Elghamrawy, Ali I. Eldesouky

Mansoura Engineering Journal

The automatic diagnosis of lung cancer using chest X-ray (CXR) images has significantly advanced with progress in computing, machine learning, and deep learning. However, detecting lesions and nodules remains challenging due to CXR limitations. Early lung cancer detection is critical for successful treatment, but current AI algorithms often rely on large annotated datasets, which are not always available. To address this, a novel multi-classification deep learning framework is proposed that combines CXR and CT images. This approach leverages the detailed feature detection capabilities of CT scans alongside the complementary views from CXRs, improving early-stage lung cancer detection and classification precision. …

An Electrochemiluminescence-Based Arsenic (Iii) Sensor Using Luminol On Screen-Printed Gold Electrodes, Harmesa Harmesa, Isnaini Rahmawati, Andrea Fiorani, Yasuaki Einaga, Eny Kusrini, A’An Johan Wahyudi, Asep Saefumillah, Tribidasari A Ivandini

Journal of Electrochemistry

Electrochemiluminescence (ECL) of luminol has been studied on a screen-printed gold electrode for a simple and sensitive detection of arsenic ions (As(III)). Cyclic voltammetry (CV) was applied as the proposed technique to study luminol’s electrochemical behavior and to evaluate the arsenic’s effect in the ECL system, while hydrogen peroxide (H₂O₂) served as a co-reactant to enhance luminol’s light emission under alkaline conditions. To achieve optimal electrode performance, key parameters including pH, scan rate, and the concentrations of H₂O₂ and luminol were carefully optimized. The presence of As(III) induced a quenching effect on the …

Nanoscale Opportunities In Extracellular Matrix Mimicry, L. Andrew Lyon, Abbygail Caine, Elif Narbay, E. Daniel Cárdenas-Vásquez

Engineering Faculty Articles and Research

We present an overview of the composition, function, energetics, and dynamics of extracellular matrix and its relation to nanoscale structures and phenomena. These concepts are then related to the development of synthetic and biosynthetic materials that aim to mimic the extracellular matrix for regenerative medicine and tissue engineering technologies. Notable successes and advancements towards the goal of biomimicry are outlined, while remaining challenges and knowledge gaps towards that goal are highlighted. Finally, we frame the remaining challenges in the field in terms of nanoscience-related research opportunities that if solved, might prove to be transformative steps forward in the discipline.

Machine Learning–Driven Prediction Of Dementia From Mri And Clinical Features: A Comparative Analysis Of Ensemble And Baseline Models, Sarah Raad Hameed, Zainab Muhannad Nahid, Rawan Ahmed Abdulmahdi

AUIQ Technical Engineering Science

Early detection of dementia remains a pressing challenge in clinical neuroscience, as delayed diagnosis limits therapeutic impact and healthcare planning. Leveraging the Open Access Series of Imaging Studies (OASIS) cross-sectional dataset of 436 participants, this study developed a robust machine learning pipeline integrating sociodemographic, clinical, and neuroimaging-derived features. Preprocessing included removal of highly sparse variables (Delay), median imputation of partially missing but clinically essential measures (SES, MMSE, CDR, Educ), Winsorization of extreme values, and skewness correction. The target Clinical Dementia Rating (CDR) was binarized (0 = no dementia, ≥ 0.5 = dementia) to align with clinically actionable screening. Categorical features …

Improving The Uv Resistance And Service Life Of Polystyrene-Based Building Materials Via Low-Concentration Metal Complex Modifiers, Dina S. Ahmed, Marwa Fadhil, Raghda Alsayed, Mohammed Kadhom, Muna Bufaroosha, Amani Husain, Thura Alyasiri, Hanan Ibraheem, Alaa A. Rashad, Bassam M. Abood, Riyadh Noaman, Ahmed Ahmed, Ruqaya Raad, Ala'a Shaker, Abeer Erfan, Hassan Hashim, Saba Hamza, Rahimi M. Yusop, Emad Yousif

AUIQ Technical Engineering Science

PS is highly susceptible to UV-induced photodegradation, which results in deterioration of its mechanical and aesthetic properties. In the present study, four novel and highly aromatic levofloxacin metal complexes, synthesized from Zn, Sn, Cu, and Ni, were investigated as low-concentration (0.5% w/w) photostabilizer additives for PS. Composite films were prepared by solution casting and subjected to accelerated UV irradiation up to 300 hours. Photostabilizing performance was systematically followed by monitoring changes in the carbonyl index via FT-IR spectroscopy, mass loss measurements, and surface morphology analyses using SEM and AFM. Results showed that all levofloxacin metal complexes had a pronounced inhibition …

Nanoparticles May Improve How Antiviral Compounds Are Delivered For Herpes Virus 1, Emilia Huff

Research on Capitol Hill

HSV-1, a strain of herpes, infects the majority of adults in the US and has been linked to neurological damage.

Rapid Single-Cell Measurement Of Transient Transmembrane Water Flow Under Osmotic Gradient, Hong Jiang, Jinnawat Jongkhumkrong, Y. J. Chao, Qian Wang, Guiren Wang

Faculty Publications

Aquaporins (AQPs) are critical for transmembrane water transport in response to osmotic gradients, but their gating and regulatory mechanisms remain poorly understood. A central challenge is the lack of methods to measure water flow across AQPs from individual cells with the spatiotemporal resolution and sensitivity equivalent to patch-clamp recordings of ion fluxes—a limitation stemming from the electrically silent nature of water flow. Here, we present a novel optical technique—Flow-Induced Fluorescence Increase Velocimetry (FIFIV) based on Laser-Induced Fluorescence Photobleaching Anemometry (LIFPA)—that enables direct, real-time monitoring of cytoplasmic flow induced by transmembrane water transport under osmotic pressure gradients. Using small molecular fluorescent …

Mae Enewsbrief Oct-Dec 2025, Department Of Mechanical And Aerospace Engineering, Michigan Technological University

Department of Mechanical and Aerospace Engineering eNewsBrief

No abstract provided.

Ainet: Integrating Mamba And Cbam For Enhanced Camouflage Object Detection, Henry O. Velesaca, P. Andrea Mero, Abel A. Reyes-Angulo, Angel D. Sappa

Michigan Tech Publications

This paper introduces AINet, a novel deep learning architecture designed for detecting camouflaged objects in complex and diverse environments. The objective of this work is to design an end-to-end camouflaged object detection architecture that simultaneously captures long-range dependencies and refines subtle camouflage cues, improving segmentation accuracy and boundary delineation across both standard COD benchmarks and real-world agricultural scenarios. AINet leverages the strengths of Mamba, an efficient sequential state model for capturing long-range dependencies, and the Convolutional Block Attention Module (CBAM) for feature refinement through attention mechanisms. Detecting camouflaged objects is a significant challenge across a wide range of real-world applications, …

Characteristics And Mechanisms Of Guar Gum Degradation By Indigenous Bacteria In Coal Seams, Li Bing, Guo Hongyu, Zhou Xiao, Wang Haichao, Jian Kuo, Chen Zhaoying, Zhang Bin

Coal Geology & Exploration

Background Hydraulic fracturing serves as a stimulation technique extensively used in the commercial development of coalbed methane (CBM), in which guar gum is commonly used as a fracturing fluid thickener. However, under the low-temperature conditions of coal reservoirs, conventional chemical gel-breaking methods often suffer from incomplete gel breaking and high residue content, resulting in formation damage and a decrease in the production efficiency of CBM wells. Methods Using indigenous bacteria in coal seams as functional strains, this study conducted microbial gel-breaking experiments. It systematically investigated the characteristics of guar gum biodegradation by these bacteria and determined the dominant microbial taxa …

Tetramethylbenzidine Loaded Pva Nanofibers Strip For Visual Detection Of Hydrogen Peroxide Via Cu2+ Catalysis And Its Applications, Samar A. Salim

Nanotechnology Research Centre

Background Advancements in sensor technology have facilitated the development of cost-effective and highly sensitive sensors which have significantly improved the detection of biological analytes in various fields. This study presents a novel approach for the detection of hydrogen peroxide (H₂O₂), a critical analyte in both biological and environmental systems. A simple and sensitive colorimetric sensing platform was developed based on polyvinyl alcohol (PVA) nanofibers loaded with tetramethylbenzidine (TMB). Results The nanofibers were characterized using scanning electron microscopy, confirming the formation of smooth, spindle-shaped fibers with diameters from 324 to 551 nm. The colorimetric detection method utilized TMB, which undergoes oxidation …

Interfacial Engineering Of Electrodes And Solid-State Electrolytes For High-Performance Lithium-Ion And Sodium-Ion Batteries, Ahmad Helaley

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid expansion of electrified transportation and renewable energy integration demands advanced lithium-ion (Li-ion) and sodium-ion (Na-ion) batteries with enhanced safety, long-term reliability, and high energy efficiency. However, conventional systems employing liquid electrolytes continue to exhibit persistent failure modes, including thermal instability, parasitic interfacial reactions, transition-metal dissolution, and electrode degradation under high-voltage or fast-charging conditions. These limitations become even more critical in solid-state configurations, where insufficient ion mobility and interfacial incompatibility can severely restrict electrochemical performance. The first part of this dissertation develops an atomic-layer-scale interfacial stabilization strategy using atomic layer deposition (ALD) coatings. ZnO-modified graphite anodes in Li-ion cells …

Opportunities And Challenges In Synthetic Biology For Manufacture Of Bulk Chemicals, Xiaolin Shen, Qipeng Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Traditional chemical manufacturing, reliant on fossil resources, meets material demands but faces challenges such as resource depletion, environmental pollution, and carbon emissions. This underscores the urgent need for a shift towards green and sustainable production methods. Biomanufacturing, which uses renewable resources to produce chemicals, offers a promising pathway for the chemical industry’s green transition. In recent years, biomanufacturing has emerged as a key area of global attention. Through synthetic biology, bulk chemicals like 1,3-propanediol have been successfully produced. Nevertheless, biomanufacturing of bulk chemicals still faces significant challenges, including high costs, low efficiency, and limited scalability. This is particularly true for …

Exploring Noise Induced Extreme Events In Neuronal Oscillators Networks And Machine Learning Forecasts, Hariharan S Mr

Theses and Dissertations

This doctoral dissertation comprehensively investigates the underexplored phenomenon of noise-induced extreme events (EE). The word “extreme” is accompanied by an occurring “event” when the deviation is extreme or higher than that of regular occurrences. These extreme occurrences are rare, abrupt, sudden, and irregular, often causing a profound impact on the system and its surroundings. Tsunami, earthquakes, solar flares, and tornadoes are such events that do not occur often but still significantly cause damage to mankind. This thesis particularly focuses on EE in neuronal systems where sudden synchronization can trigger seizures, tremors, and strokes which serve as classic examples of such …

Protecting ‘Punks’: The Shortcomings Of The Prison Rape Elimination Act, Rachel Goldsmith

Binghamton University Undergraduate Journal

Prisoner-on-prisoner sexual abuse is widespread in US male prisons, with inmates “turning each other out” by sexually assaulting each other. While the Prison Rape Elimination Act (PREA) received unanimous support in Congress in 2003, motivated by the Human Rights Watch Report “No Escape: Male Rape in Prisons,” scholars argue that the PREA fails to protect prisoners from prison rape: for example, its standards may be ineffective or criminalize consensual sex between prisoners. This essay will examine the shortcomings of the PREA, drawing on current legal scholarship, and propose solutions to enhance the law's effectiveness in protecting prisoners. The US government …

Identify Top Journals, Ibis Anette Moreno-Lozano Phd.

Day Family Research Lab Workshop Series

No abstract provided.

Effect Of Degree Of Saturation On The Liquefaction Resistance Of Non-Plastic And Low-Plastic Soils, Kayla Rae Sorenson

Dissertations and Theses

Liquefaction and cyclic softening of fine-grained soils pose a significant hazard during earthquakes, yet the cyclic behavior of transitional soils such as silts remains poorly understood. Existing empirical liquefaction evaluation frameworks and ground improvement techniques are largely developed for sands and are not directly applicable to silts, particularly beneath existing infrastructure where conventional mitigation methods are often impractical or cost prohibitive. This knowledge gap is critical in regions such as the Pacific Northwest, where young, loosely deposited silts are prevalent and susceptible to seismic loading.

Microbially induced desaturation (MID) has emerged in recent years as a promising, minimally invasive ground …

Green Roofs For Grey Water Treatment – Comparative Study Of Economic And Environmental Impacts, Shaden S. Attia

Theses and Dissertations

Cities are under more pressure than ever to use sustainable methods for managing water and other resources because of urbanization, climate change, and a lack of water. Standard greywater treatment systems (SGTSs) work well, but they use a lot of resources and don't provide a lot of ecosystem services. Greywater-treating green roofs (GTGRs) have emerged as a promising Nature-Based Solution (NBS), combining wastewater recycling with benefits like regulating temperature, reducing greenhouse gas (GHG) emissions, and reducing the urban heat island (UHI) effect. Even with this potential, there is still not enough real-world research on how GTGRs affect both the economy …

Neuproio: A Dual-Action Solid Drug Nanoparticle Topical Formulation For Simultaneous Intraocular Pressure Reduction And Neuroprotection For Glaucoma, Lei Xu, Mu Li, Lin Qi, Tzu Chen Wang, Dong Liu, Vimalin Jeyalatha Mani, Hsin Yin Chuang, Qingbo Yang, Ruipu Mu, Samira Mahdi, Da Huang, Honglan Shi, Yang Hu, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Glaucoma is a leading cause of irreversible blindness, primarily due to elevated intraocular pressure (IOP) that damages the retina and optic nerve. Most topical glaucoma treatments focus solely on IOP-lowering without direct neuroprotection, as drug delivery to the posterior eye is challenging. Here, we developed NeuProIO, a dual-action solid drug nanoparticle (NP) eye drop for simultaneous IOP reduction and neuroprotection. Using flash nanoprecipitation in a multi-inlet vortex mixer, we fabricated the first NeuProIO solid drug NPs incorporating the repurposed neuroprotective agent maprotiline (MAP) and the IOP-lowering agent betaxolol (BX), forming MAP/BX NPs for synergistic glaucoma treatment. The NeuProIO improved stability …

Advanced Design Topics For The Engineering Of Agricultural And Mechanical Equipment, Robert M. Stwalley Iii, Roger Tormoehlen

Purdue University Press Books

Off-road equipment designs contend with some unusual challenges and environmental conditions that are not seen by standard on-road vehicles. Advanced Design Topics for the Engineering of Agricultural and Mechanical Equipment offers design topic reviews related to areas that need special consideration within off-road applications. CAN-BUS systems, soil compaction, composite bearings, field welding practices, and weld strength in bending applications are examined, among other subjects. Providing comprehensive coverage of these matters with the current state-of-the-art technologies and best practices as they relate to equipment design for the agricultural, construction, forestry, and mining industries, this book is well-aligned with collegiate advanced agricultural …

Mechanized Tube Well Installation, Robert M. Stwalley Iii, Grace L. Baldwin Kan-Uge, Roger Tormoehlen

Purdue University Press Books

Mechanized Tube Well Installation provides detailed information on the design development of a mechanized means to install shallow tube wells using a hydraulic driver attached to a small vehicle. This book explores the creation of this technique through the merging of available components, selection of the components, testing of the assembly, and the driving of wells. It also provides comprehensive coverage of state-of-the-art engineering, technology, and best practices as they relate to driving water wells for human consumption, animal care, and irrigation. Mechanized Tube Well Installation is well-aligned with collegiate humanitarian aid, environmental and natural resources engineering, and agricultural equipment …

Sustainable Construction Materials In The Middle East: Model Development For Materials Selection, Taha Ahmed Omar Madu

Theses and Dissertations

The construction industry, a major driver of economic development in the Middle East, is simultaneously a leading contributor to carbon emissions, resource depletion, and environmental degradation. Amid rapid urbanization in countries such as Egypt, Saudi Arabia, and the United Arab Emirates, the adoption of sustainable construction materials has emerged as a critical strategy for mitigating environmental and societal impacts while advancing regional development objectives. This thesis is organized along two interrelated directions: first, it delivers a comprehensive assessment of the current adoption, challenges, and opportunities associated with the use of sustainable construction materials across the three target countries; second, it …