Digital Commons Network^™

Molecular Origins Of Non-Frozen Water In Polyelectrolyte Brushes, Ali Dhinojwala, Saveen Jayaweera, Md Golam Kibria, George Mallinos

University Research

Polyelectrolyte brushes (PEBs) are promising coatings for reducing ice adhesion and regulating water freezing at interfaces, yet direct measurements of nonfrozen water retention at subzero temperatures remain scarce. Here, we investigate the freezing behavior of water confined in poly([2-(methacryloyloxy)ethyl]trimethylammonium) (PMETA) brushes with chloride, iodide, and sulfate counterions using a custom-built low-temperature attenuated total reflectance infrared spectroscopy system. Furthermore, we quantify the fraction of water that was present within the brush that does not freeze as well as the changes in polymer volume fraction within the brush as a function of temperature. Spectroscopic analysis of water vibrational modes reveals that PMETA …

Ai-Driven Mental Health Support For Caregivers Of Individuals With Alzheimer Disease: Systematic Literature Review And Development Of A Conceptual Framework, Sweta Sneha, Chandra Renduchintala, Isa Siddique, Evelina Sterling, Sweta Sneha, Nazmus Sakib

Faculty Articles

Background:Caregivers supporting individuals with Alzheimer disease and related dementias (AD/ADRD) frequently encounter prolonged emotional strain, psychological distress, and social isolation, yet their needs are largely overlooked in current technological and clinical interventions. The special routines and obligations of caregivers of individuals with AD/ADRD are frequently not well-suited to the many artificial intelligence–driven (AI-driven) mental health solutions that are currently available. This reveals a critical need for sophisticated, customized solutions created especially to help the mental health of caregivers for patients with AD/ADRD.

Objective:To address the existing limitations of personalized mental health interventions, we aimed to identify existing literature on personalized …

Using Facial Landmarks For Lip Motion Interpretation Applications, Kimi S. Wright

Theses and Dissertations

Facial motion, particularly lip movement, carries rich information about human speech that can be leveraged for a variety of computer vision and speech-processing tasks. Unlike other pixel-based methods, this work investigates the use of facial landmarks as a compact, privacy- preserving, and computationally efficient representation for lip-motion analysis. We evaluate landmark-based models across multiple tasks, including visual voice activity detection (VVAD), lip–audio synchroniza- tion, and visual speech recognition (VSR) for liveness detection. Using LRS3-VVAD1 and LRS22 datasets, we demonstrate that landmark-only models can achieve performance comparable to pixel-based systems for VVAD and synchronization, while significantly reducing parameter counts and inference …

Computational Modeling Of Enhanced Nonlinear Optical Response In Plasmonic Waveguide Devices With Epsilon-Near-Zero Films, Kevin T. Le, Mark C. Harrison

Engineering Faculty Articles and Research

Silicon photonics faces fundamental limitations in nonlinear applications due to weak Kerr nonlinearity, substantial two-photon absorption, and coupling challenges with subwavelength structures. This work investigates epsilon-near-zero (ENZ) materials integrated into plasmonic waveguide architectures for enhanced nonlinear photonic devices. ENZ materials exhibit nonlinear refractive indices several orders of magnitude higher than conventional materials near their zero-permittivity wavelength, enabling giant optical effects over deeply sub-wavelength interaction lengths. We present finite element method simulations of plasmonic ENZ waveguides, investigating layer thickness optimization for nonlinear enhancement while minimizing optical losses. Initial modal analysis confirms superior field confinement in hybrid plasmonic-ENZ structures compared to conventional …

Algorithms Of Stable Adaptive Observation Of A Multidimensional Undefinite Object, Tursunova Sadoqat Abdusalom Qizi

Chemical Technology, Control and Management

This article presents an algorithm for simultaneously estimating the parameters and state coordinates of a multidimensional control object when some of its state variables are not directly measured. The inability to measure all state variables (coordinates) of an object is a well-known drawback of identification schemes. Such conditions require the construction of adaptive state observers. This work demonstrates that when identifying the parameters of a mathematical model for an uncertain multidimensional object, the asymptotic stability of the object and the convergence of its parameters to the model parameters are ensured, provided the input vector is sufficiently informative. The construction of …

Design And Evaluation Of A Collaborative Xr Framework With Abstract Building Blocks For Manufacturing System Prototyping, Shaun Macdonald, Bixun Chen, Yuanjie Xia, Rami Ghannam

School of Engineering Technology Faculty Publications

Manufacturing systems are complex installations designed and developed by stakeholders with differing expertise. However, system design primarily features traditional methods, long lead times, and siloed environments, which obstruct comprehension, communication, or collaboration. Prior research has used extended reality (XR) to prototype and visualise specific manufacturing applications; however, flexible system modelling remains complex. To address these issues and lay the foundation for future-facing manufacturing design as part of Industry 4.0, we introduce ARTIFY—a prototype XR framework for conceptual system prototyping. It features abstract building blocks that can be semantically reconfigured to support early-stage modelling of varied manufacturing systems in immersive environments. …

The Impact Of Human Myoblasts On Macrophage Polarization In A Coculture Model, Elisabeth Ann Stodola

Biomedical Engineering

Peripheral Artery Disease (PAD) is characterized by the buildup of atherosclerotic plaque in the lower extremities that occludes blood flow, and affects over 200 million people worldwide. Without effective treatment, PAD can lead to claudication, ischemia, ulcers, and gangrene. PAD causes more amputations in the United States than any other condition, and for severe cases that require revascularization, procedures benefit fewer than 50% of patients. This demonstrates a clear need for alternative therapies. Potential therapies for PAD target expansion of collateral blood vessels around the area of occlusion – a process called arteriogenesis to compensate for loss of blood flow …

Move Fast And Don’T Break Things: Collaborative Privacy Governance In Higher Education, Tyler Schroder, Chad Fenner

Research & Publications

Student-developed applications increasingly replicate or replace official university platforms, often prioritizing speed over security and privacy. This “shadow IT” ecosystem emerges from gaps in institutional tools and is amplified by AI-assisted development, which can introduce insecure defaults. These informal systems risk exposing FERPA‑protected or sensitive institutional data, as seen in student‑built directory and club‑information apps that redistributed restricted information more permissively than intended. While most universities lack clear governance mechanisms for student developers, Yale’s structured, student‑specific data‑use policy offers a notable model. This paper examines these risks and proposes a collaborative, API‑first framework that supports innovation while enforcing privacy, security, …

Feasibility Of Using Recycled Waste Plastic In Concrete Pavements In Nebraska, Amasi Hajahja, Jamilla Teixeira, George Morcous

Nebraska Department of Transportation: Research Reports

Waste plastic (WP) is a growing environmental concern due to its non-biodegradable nature, large-scale production, and harmful impact on natural resources. With nearly 75% of WP in the U.S. ending up in landfills, effective recycling strategies are urgently needed. In parallel, the limited availability of natural aggregates highlights the need for alternative materials in concrete construction. This study investigates the feasibility of using recycled waste plastic (RWP) in concrete mixtures, both as aggregates and fibers for rigid pavement applications in Nebraska. Concrete mixtures were prepared by partially replacing natural fine aggregates with recycled plastic aggregates (RPA) at replacement levels of …

Design And Validation Of A Wearable Respiratory Protection System For Wildland Firefighters, Oliver Pilon

Master's Theses

Wildland and Wildland–Urban Interface firefighters are routinely exposed to hazardous smoke with fine particulate matter, carbon monoxide, volatile organic compounds, and other toxic combustion products. Existing protective gear has significant limitations and shortcomings for these conditions. Respirators with tight-fitting facepieces make it difficult to breathe and speak. On the other hand, self-contained breathing apparatuses are too heavy, have a limited duration of use, and do not work well with long wildland fire scenes, while smaller protective equipment like N-95’s and gaiters provide very little protection. These constraints contribute to low adoption rates and prolonged occupational exposure.

This thesis presents the …

Mechanistic Framework Of Wood Decomposition In Post-Storm Vegetative Debris Piles Using Continuous Quality Theory, Thomas T. Lee

Master's Theses

Storm events generate significant quantities of vegetative debris composed of wood, branches, twigs, and other organic materials. Efficient post-storm resource recovery and carbon accounting depend on reliable predictions of decomposition within these large, heterogeneous debris piles. While small-scale wood decay is well studied, decomposition dynamics within multi-layer debris piles remain poorly characterized, limiting municipalities' ability to estimate material longevity and resource recovery potential.

To address this gap, this study develops the WOOD_DK (Wood Organic Oxidation and DegraDation Kinetics) model, a preliminary, exploratory one-dimensional multilayer decomposition framework simulating coupled temperature, moisture, oxygen, and carbon dynamics in MATLAB. Microbial decomposition follows Continuous …

Acinetobacter Spp. With Lower Susceptibility To Quaternary Ammonium Compounds Enriched In Microbial Communities Of Frequently Used Sinks, M. C. Cruz, R. Ruhal, J. Lavin, S. Bridwell, N. Maghboli Balasjin, B. Raasch, R. Melton, Brooke K. Mayer, Christopher Marshall, Krassimira R. Hristova

Civil and Environmental Engineering Faculty Research and Publications

Sanitary environments that undergo frequent cleaning and disinfection may harbor microbial communities with potential health risks. While biofilms in healthcare settings are well studied, comparatively less is known about sink-drain microbiomes in public and educational buildings, where hundreds of people may interact with shared sink fixtures. This study characterized the spatial and temporal heterogeneity of sink-drain biofilm microbiomes in academic buildings. We sampled 16 sinks from two buildings (four floors each, with sinks closest and furthest to the bathroom entrance), which are cleaned daily with quaternary ammonium compound (QAC) disinfectants, during periods of low and high student traffic (during and …

Unhsc Scm Performance Fact Sheets, Unh Stormwater Center

UNH Stormwater Center

No abstract provided.

Feedback In Digital Game-Based Learning: A Taxonomy And The Design And Empirical Evaluation Of A Feedback System In A Mathematics Serious Game, André Almo

Dissertations

Digital Game-Based Learning (DGBL) is an active, student-centred pedagogical approach in which feedback plays a central role by informing learners’ actions, guiding decision-making and shaping motivation and engagement. Despite its importance, feedback in serious games is often described inconsistently and insufficiently in research, limiting comparability across studies and the accumulation of design knowledge, particularly for children. This thesis addresses these gaps through two complementary contributions: the development of a taxonomy for feedback design in digital serious games and the empirical evaluation of a taxonomy-informed feedback system in a mathematics game for primary school students. First, this work introduces the Taxonomy …

Elevating The Underrepresented And Marginalized Using Experiences In Stem (Lumens): A Stem Diversity And Inclusion Initiative, Robert Cobb Jr, Paula E. Faulkner, Deiadra Modlin, Obinna Chiekezi, Victoria Cobbold, Madison Beaudoin

Journal of Research Initiatives

The study offered a 5-week summer immersion program to address the shortage of students from underrepresented populations enrolling in degree programs and seeking careers in science, technology, engineering, and mathematics (STEM). The study also addressed the importance of offering summer immersion programs to close the achievement gap. A quantitative descriptive design was used to gather data from participants related to STEM lessons during the program. Gender, grade level, and race served as the demographic variables. The study included 21 secondary students in grades 9–12. Pre- and post-tests assessed participants' knowledge gain regarding STEM lessons. Data analyzed with SPSS version 29 …

Sea Level Trends Near Critical Levees In The Sacramento-San Joaquin Delta, Reyna Sanchez Gomez

Master's Theses

The Sacramento-San Joaquin Delta (Delta) levee system faces threats from rising sea levels, land subsidence, and deteriorating levees, all of which pose risks to California’s primary surface water supply. The purpose of this thesis is to assess relative sea level rise (RSLR) and estimate the spatially varying factors that influence water levels in the Delta. This thesis extends the work of Baranes et al. (2023) to the period 1975-2022 by appending recently acquired water-level records (1975-1982) to modern datasets (1982-2022) from 10 water-level stations. These water level datasets were digitized, quality-assured, and referenced to a common geodetic datum, as described …

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 …

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 …

A Borophosphate Glass Doped With Cobalt Oxide Improves Skeletal Muscle Structure And Function In Myopathic Mice, Jacob A. Kendra, Alexandra G. Naman, Rebekah L. Blatt, Carla D. Zingariello, Richard K. Brow, Steven S. Segal, Aaron B. Morton

Materials Science and Engineering Faculty Research & Creative Works

Skeletal muscle myopathy remains a significant cause of disability with limited treatment strategies. Advancements in tissue engineering have led to the development of borophosphate bioactive glasses (BPBGs) capable of enhancing skeletal muscle structure and function. Using a mouse model of severe myopathy (D2.mdx), we investigated muscle force, regeneration, angiogenesis and inflammation at 14, 70 and 140 days post-treatment (dpt). Tibialis anterior (TA) muscles of D2.mdx mice that received a single injection of cobalt oxide-doped BPBG (CoO-TRIM) particles exhibit greater active force, myofiber size, and regeneration through 70 dpt compared to control D2.mdx mice injected with Saline. Vascular endothelial growth factor …

Immigration-Related Workforce Instability And Its Impact On Residential Construction Operations In California, Ana Castro

Construction Management

Labor availability has become a major challenge for California’s residential construction industry, especially as immigration policies change and its workforce becomes more unstable. Most past research looks at overall labor statistics and industry trends, but not at how these issues affect construction projects day to day. This qualitative case study looks at how immigration policy and labor conditions affect the daily operations of a residential construction company in California. The research is based on six semi-structured interviews conducted with five superintendents and one executive leader. The results show that immigration-related labor challenges differ by location within California. Participants commonly described …

Current Research Progress On Electrode Materials For All-Vanadium Redox Flow Batteries, Wen-Qi Wang, Jie Jin, Li-Min Wang, Xin-Yue Liu, Tao Cheng, Yong Hou, Han Xue, Zhi-Yu Wang, Bo Liu, Jia-Bao Liu, Xu-Bin Lu

Journal of Electrochemistry

The redox active species in all-vanadium redox flow batteries (VRFBs) reside in the electrolyte, while the heterogeneous reactions occur on the electrode surface; the electrode is therefore the decisive platform for dynamic adsorption, electron transfer, and ion conversion, especially for the VO²⁺/VO₂⁺ and V²⁺/V³⁺ couples. One of the major challenges for VRFBs is the slow charge transfer in VO²⁺/VO₂⁺ and V²⁺/V³⁺ reactions, mainly caused by poor catalytic performance of electrodes and weak adhesion of catalysts to electrodes. This review focuses on the key challenges and recent …

Control Of Pore Nucleation And Rearrangement Kinetics During Aluminium Anodizing In Phosphoric Acid Electrolyte, Ilya V. Roslyakov, Nikita A. Shirin, Dmitry M. Tsymbarenko, Sergei N. Pavlov, Sergey E. Kushnir, Nikolay V. Lyskov, Kirill S. Napolskii

Journal of Electrochemistry

Anodic aluminium oxide (AAO) porous films with an interpore distance of several hundred nanometers are of great interest due to their unique interaction with visible and near-infrared light, and high thermal stability up to 1500 °C. These porous films are prepared by aluminium anodizing at high voltages in weak acids, leading to a slow kinetics of initial stages of porous structure formation. Here, we propose an approach to accelerate AAO formation in electrolytes based on weak acids such as phosphoric acid. Aluminium foils, pre-patterned using first anodizing under different conditions and subsequent selective dissolution of a sacrificial AAO layer, were …

Neutrosophic Finsler–Cohomological Framework For Engineering Systems Under Uncertainty, Mona Gharib, Ghulam Muhammad, Muhammad Idrees, Zeeshan Gul

Neutrosophic Systems with Applications

This paper introduces a novel mathematical framework that combines Neutrosophic Finsler Geometry with Neutrosophic Cohomology for evaluating the performance of Brushless Direct Current (BLDC) motors under uncertain and indeterminate operating conditions. Classical motor performance models typically assume precise measurements of torque, current, and efficiency; however, in real-world settings, these parameters are often affected by noise, incomplete information, and conflicting observations. By embedding motor operating states into a neutrosophic Finsler space, the proposed approach captures variations not only in magnitude but also in direction, uncertainty, and conflict of performance metrics. In addition, neutrosophic Cohomology is employed to characterize global invariants of …

An Uncertainty-Aware Entropy-Oreste Framework For Big Data Platform Selection In Complex Multi-Sector Environments, Ahmed M. Ali, Ibrahim Alrashdi, Karam M. Sallam

Neutrosophic Systems with Applications

The increasing reliance on Big Data platforms across various industries has necessitated the development of systematic decision-support frameworks to guide their evaluation and selection. Given the diversity of available platforms, each offering different capabilities, scalability, and computational efficiency, choosing the optimal solution remains a complex challenge. This research proposes a novel analytical framework that integrates Spherical Fuzzy Sets (SFS) with the Entropy and ORESTE methods to address uncertainty and enhance the accuracy and robustness of Big Data platform evaluation. This hybrid integration, not previously applied to Big Data platform selection, enables objective criteria weighting through the Entropy method and comprehensive …

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.

Chapter 6 - Robust Stabilization Ellipsoidal Design For Normal And Contingency Operated Power Systems Using Markov Jump, Ehab Bayoumi

Mechanical Engineering

No abstract provided.

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 …

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

Department of Mechanical and Aerospace Engineering eNewsBrief

No abstract provided.

Influence Mechanisms Of Cleats On Hydraulic Fracture Propagation In Deep Coalbed Methane Reservoirs, Wang Haiyang, Lu Chen, Su Xu, Wang Yufei, Zhou Desheng

Coal Geology & Exploration

Objective Creating large-scale fracture networks through hydraulic fracturing serves as an important approach to the commercial development of deep coalbed methane (CBM) reservoirs. However, these reservoirs contain extensively developed cleats. The significantly different cementation strengths of cleat fillings lead to complex interactions between cemented cleats and major hydraulic fractures during fracture propagation. Therefore, clarifying the mechanisms underlying the influence of cemented cleats on hydraulic fracture propagation is critical to improving the simulation effects of deep CBM reservoirs. Methods Using particle flow code (PFC) discrete element method, combined with quasi-triaxial mechanical test results of the No.8 coal seam within the Yichuan …

Tle-Unet-Based Image Segmentation And Feature Extraction Of Water-Cooling-Induced Complex Cracks In High-Temperature Rock Masses, Fu Tianyu, Hu Mangu, Zhang Xiaojun, Yang Xiaobin, Lyu Fu, Lyu Xiangfeng, Peng Lei

Coal Geology & Exploration

Objective and Method Water cooling-induced macroscopic surface cracks in high-temperature rock masses are characterized by fine scales, pronounced length variations, and severe class imbalance in images, posing significant challenges for image segmentation. To address these challenges, this study proposed TLE-UNet, a semantic segmentation network for rock crack images. First, through thermal treatment and uniaxial compression tests of granite specimens, crack images under varying temperatures were acquired. Then, using a self-developed Lite Edge Fusion module, high-resolution shallow features were finely aligned with deep semantic features at varying scales. Furthermore, edge detection and channel-attention mechanisms were combined to enhance crack boundary perception. …