Improving Interlimb Coordination And Paretic Limb Use After Stroke Using A Novel Robotic Split-Crank Pedaling Device: A Cross-Sectional Study, Tom S. Ruopp, Brian Schmit, Sheila Schindler-Ivens

Biomedical Engineering Faculty Research and Publications

Background. Many stroke survivors cannot walk effectively, even after rehabilitation. Causes include impaired muscle activation, poor interlimb coordination, and limited restorative interventions. To address this, we developed CUped (pronounced “cupid”), a motorized split-crank pedaling device designed to compel use of the paretic limb and retrain interlimb coordination. We examined its within-session effects, comparing three proportional control schemes—assist (A), resist (R), and assist plus resist (A + R)—to identify which best promotes recovery-related movement.

Methods. Nineteen individuals with stroke and eleven controls pedaled in 5-min bouts, one per control scheme. Each bout included pre-test, exposure, and post-test periods. Participants were instructed …

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 …

An Analysis Of Injury And Fatality Trends In The U.S. Construction Industry, Ryan Dutt

Construction Management

Construction work is one of the most dangerous industries in the United States, with different trades and work types showing various risk levels for injuries and fatalities. This paper’s objective is to identify the safety trends in construction over the past 10 to 20 years and understand the trades, accident types, and construction sectors with the highest safety risks. All of the data was obtained from the Occupational Safety and Health Administration (OSHA), the Bureau of Labor Statistics (BLS), the National Institute for Occupational Safety and Health (NIOSH), and the National Safety Council (NSC) databases, broken down by trade, accident …

Risk Management Strategies Used By Project Leaders In Construction Projects On The East Coast, Dylan David Decuffa

Construction Management

Construction projects are often defined by their visible outcomes, structures completed on time, within budget, and built to the required standards. Yet beneath these outcomes lies a less visible force that quietly shapes whether success is achieved or compromised. Uncertainty is present in every phase of construction, influencing decisions, performance, and ultimately the trajectory of the project. The ability to recognize and respond to this uncertainty may separate projects that proceed with stability from those that experience delays, escalating costs, and diminished quality. Project managers, superintendents, project engineers, and other related fields play a central role in navigating this uncertainty …

Thousand Hills Pet Resort Ada Compliant Access Ramp And Connecting Deck: Preconstruction Activities, Sonya Nahama Wijoyo

Construction Management

This paper presents the design and preconstruction of an ADA-compliant access ramp and connecting deck system for two mobile homes located at Thousand Hills Pet Resort. The primary objective was to enhance accessibility and safety for residents by providing code-compliant, durable, and functional access to the mobile homes on site. This project is interdisciplinary between construction management and architectural engineering. The project began with a site evaluation to assess existing conditions. Field measurements and site observation guided planning decisions and helped identify potential challenges. Following the site evaluation, the project proceeded into the design phase, where the ramp and deck …

Analysis Of Construction Trends On California’S Central Coast, Erik G. Asplund

Construction Management

The California Central Coast experiences sustained housing demand and infrastructure pressure, yet it lacks the visible concentration of construction firms found in larger markets. This study examines why construction activity in the region appears limited despite a strong demand. Using a qualitative, interview-based approach, four construction companies who operate across Monterey, San Luis Obispo, Santa Barbara, and Ventura Counties were interviewed to identify recurring themes related to labor, environmental regulation, housing feasibility, technology adoption, and future outlooks. The study concludes that structural constraints rather than lack of opportunity limit the scalability of construction on the Central Coast.

Factors Impacting Wildland-Urban Interface (Wui) Fires: A Systematic Literature Review, Albert Jimenez

Construction Management

Fires in the wildland-urban interface (WUI) pose a significant danger to communities. The WUI refers to the space where development meets vegetation. Significant research has been conducted into wildfire and WUI vulnerability across the world to help combat vulnerability. These include the identification of factors of vulnerability to create indices that quantify vulnerability, and address scope gaps and inconsistencies within literature. However, existing research seems to be fragmented in finding the WUI vulnerability factors and often it focuses on wildfires and not WUI fires. The objective of this systematic literature review is to synthesize wildfire vulnerability factors identified in the …

The Impact Of Bilingual Superintendents On A Multilingual Job Site, Cesar Barajas

Construction Management

Language barriers are frequently encountered on construction job sites. Construction crews can often be limited in their proficiency when speaking English and in states like California, construction superintendents oversee a lot of Spanish-speaking crews. This study aims to identify if bilingual superintendents lead to better performing projects. Communication impacts major metrics of project performance including schedule, rework costs, safety performance, and coordination across trades. This qualitative study includes superintendents, project managers, and field crew semi structured interviews backed by survey answers. Interview participants discuss specific examples of how communication can affect jobsite performance both negatively and positively. Subjects are asked …

Evaluating The Feasibility Of Recycled Asphalt Pavement And Warm Mix Asphalt In California Highway Construction, Ryan A. Milanesa

Construction Management

California’s highway infrastructure faces increasing material costs, limited aggregate availability, and aggressive greenhouse gas reduction mandates. Reclaimed Asphalt Pavement (RAP) offers a practical solution to reduce virgin binder demand and improve sustainability. However, Caltrans maintains conservative RAP limits due to concerns regarding stiffness related cracking and long term durability. This research evaluates the feasibility of increasing RAP content to approximately 40% when combined with Warm Mix Asphalt (WMA) technologies under California performance standards. A performance based framework was developed by reviewing federal guidance, peer-reviewed fatigue studies, life cycle cost analysis, and environmental assessment literature. Findings indicate that high RAP mixtures …

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 …

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. …

Synergist Free Solvent Extraction Of Lithium From Alkaline Salt Lake Brines Using Thenoyltrifluoroacetone In Octanol, Shayan Abrishami, Amir Razmjou

Research outputs 2022 to 2026

The growing demand for lithium in energy storage applications necessitates the development of efficient and selective extraction technologies for recovering lithium from alkaline brines containing high concentrations of competing alkali metals. This study presents an investigation of a thenoyltrifluoroacetone (TTA)-octanol solvent extraction system for selective lithium recovery from high‑sodium brines, utilizing 1-octanol as an environmentally benign diluent without requiring any synergistic co-extractant. Through systematic optimization of key operational parameters including pH, extractant concentration, scrubbing conditions, and stripping agent concentration, the system demonstrated excellent performance with lithium extraction efficiency of 67.5% ± 3.4% and a maximum separation factor of 28.0 ± …

Design, Testing, And Safety Performance Of Movable Guardrail Systems: A Prisma-Based Systematic Review, Navid Hashemi Taba, Ahdieh Sadat Khatavakhotan, Majid Tolouei-Rad

Research outputs 2022 to 2026

Movable guardrail systems are increasingly used in work zones, reversible lanes, and temporary traffic operations; however, evidence on their crashworthiness, material performance, and operational reliability remains dispersed across multiple design typologies and regulatory frameworks. This PRISMA-compliant systematic review synthesizes 78 studies involving full-scale crash tests, validated finite-element simulations, field performance evaluations, and compliance evaluations under MASH, EN 1317, NCHRP 350, and AS/NZS 3845.1. The findings indicate that modular rigid barriers reliably achieve TL-3/TL-4 performance when joint alignment and foundation conditions are properly controlled; semi-rigid steel systems provide a practical balance between containment capacity and redeployability, but remain sensitive to post …

Machine Learning-Based Upscaling Of Rock Permeability From Pore Scale To Core Scale: Effect Of Training Dataset Size And Sub-Core Volumes, Yaotian Guo, Fei Jiang, Takeshi Tsuji, Yoshitake Kato, Mai Shimokawara, Lionel Esteban, Mojtaba Seyyedi, Marina Pervukhina, Maxim Lebedev, Ryuta Kitamura

Research outputs 2022 to 2026

Permeability characterizes the capacity of porous formations to conduct fluids, thereby governing the performance of carbon capture, utilization, and storage (CCUS), hydrocarbon extraction, and subsurface energy storage. A reliable assessment of rock permeability is therefore essential for these applications. Direct estimation of permeability from low-resolution CT images of large rock samples offers a rapid approach to obtain permeability data. However, the limited resolution fails to capture detailed pore-scale structural features, resulting in low prediction accuracy. To address this limitation, we propose a convolutional neural network (CNN)-based upscaling method that integrates high-precision pore-scale permeability information into core-scale, low-resolution CT images. In …

Addressing System Strength And Reliability Concerns In Renewable Energy-Based Weak Grids Using Synchronous Condensers Determined By Hybrid Gru-Classical Optimization Method, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum, Thair Mahmoud

Research outputs 2022 to 2026

Owing to the higher-integration of renewable energy generators (REGs), conventional coal-based synchronous generators are being decommissioned from generation fleets, resulting in system strength and reliability concerns. Along with the increasing load demand, deficiency of system strength can be a huge risk to system stability and can eventually lead to blackouts by disconnecting REGs from grid systems. In the literature, researchers and power engineers have proposed to deploy synchronous condensers (SynCons) as a mitigation strategy to address the system strength and reliability challenges. SynCons are, however, expensive and require investigation for higher reliability results before installation. To address the concerns, SynCons’ …

Orthogonal Time Frequency Space Modulation For Underwater Acoustic Communication Systems: A Review, Bevek Subba, Quoc Viet Phung, Stefan Lachowicz, Walid K. Hasan, Muhammad Haziq, Daryoush Habibi, Iftekhar Ahmad

Research outputs 2022 to 2026

Underwater Acoustic Communication (UAC) has garnered significant attention due to its applications in marine science, defence, and exploration. With the vast majority of the Earth's surface covered by water, there is a growing demand for reliable and effective communication techniques in underwater environments. However, the underwater acoustic channel is the most challenging channel due to its harsh characteristics, which significantly hinder the reliability and performance of UAC systems. Orthogonal Time Frequency Space (OTFS) modulation has emerged as a promising solution for next-generation UAC systems to address high Doppler and high mobility scenarios. It has demonstrated tolerance to fast time-varying channel …

Magnetically Driven Engineering Of Magnetic Hydroxyapatite/Ca Ro Membranes: Enhancing Surface Physicochemical Properties For High-Performance Water Desalination, Fariba Oulad, Ali Akbar Zinatizadeh, Sirus Zinadini, Amir Razmjou, Sara Eavani

Research outputs 2022 to 2026

This research focuses on the development of innovative hydrophilic reverse osmosis (RO) hydroxyapatite/cellulose acetate (HAP/CA) and magnetic-hydroxyapatite (M-HAP)/CA membranes, utilizing a phase-inversion technique with varying nanoparticles (NPs) concentration. The positioning of magneto-responsive M-HAP NPs within the advanced M-HAP/CA membranes was adeptly controlled using magnetic guidance during immersion- precipitation process in a coagulation bath. This precise control enabled a densely organized arrangement of M-HAP NPs, shifting from the membrane's core to its upper separation layer. Consequently, the barrier properties, mechanical integrity, and surface characteristics of the advanced M-HAP/CA membranes saw significant enhancement due to the uniform distribution of hydrophilic porous NPs …

Single-Valued, Double-Valued, Triple-Valued, Quadruple-Valued, And Quintuple-Valued Neutrosophic Graph, Takaaki Fujita, Arif Mehmood, Arkan A. Ghaib

Neutrosophic Systems with Applications

Concepts such as fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets have been extensively studied as formal tools for modeling uncertainty, and they have found broad applications across many disciplines. A Double-Valued Neutrosophic Set (DVNS) extends the classical neutrosophic framework by splitting indeterminacy into two distinct components: one leaning toward truth and the other leaning toward falsity. In recent years, further refinements—namely Triple-Valued, Quadruple-Valued, and Quintuple-Valued Neutrosophic Sets—have also been introduced and investigated. These uncertainty models have naturally been lifted to graph-theoretic settings, where vertices and edges represent entities and relationships under ambiguity. Although fuzzy graphs and neutrosophic graphs …

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 …

Physiological And Neurological Impact Of Biophilic Design In Architectural Design Studios: A Case Study Of King Salman International University, Islam Ashraf Mohamed, Alaa El-Eishy, Marwa A. Soliman

Mansoura Engineering Journal

Biophilic design integrates nature into architecture to enrich sensory and cognitive experiences, enhance psychological well-being, and improve performance. This study explores its physiological and neural effects in design studios at King Salman International University through an experimental methodology combining theoretical review and lab-based investigation. Tools included electrocardiography (ECG) for heart rate variability (HRV), eye-tracking for visual attention, and the Self-Assessment Manikin (SAM) for emotional evaluation. Nine participants viewed five digital architectural scenes with varying biophilic integration. Direct nature connections elicited greater visual attention, pleasure, and perceived control, indicating higher engagement and relaxation.  A scene lacking biophilic elements led to reduced …

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. …

Triphenylmethane-Derived Levelers For High-Speed Redistribution Layer Copper Electroplating Of Tailored Surface Morphologies, Zi-Hao Song, Wei-Bin Wang, Xiao-Hui Liu, Xiao-Min Han, Yi Zhou, Rui Huang, Yan-Xia Jiang, Zhe Li, Xiao-Wei Liu, Mei-Ling Xiao, Hong-Gang Liao, Wei-Lin Xu, Rong Sun

Journal of Electrochemistry

Redistribution Layer (RDL), composed of layered dielectrics and electroplated copper materials, is a basic structure to rearrange numerous I/O pads on the chip surface in wafer-level advanced packaging. As the key chemicals in electrolyte baths, electroplating additives have undergone continuous development to meet the industrial needs for high-speed and fine-line/fine-pitch applications. Meanwhile, the intricate relationships between additive chemical structures and electroplated copper properties are yet to be well understood. In this work, a pair of triphenylmethane-based dye molecules, i.e., gentian violet (GV) and methyl green (MG), was comparatively investigated as levelers for high-speed RDL copper electroplating. Compared to GV, significantly …

Evaluating Domains' Trustworthiness Based On Uncertainty-Driven Methodologies In The Era Of Sixth Generation, Zekra Sakr, Mona Mohamed

Neutrosophic Systems with Applications

The onset of today's innovations pledges to have a beneficial influence on contemporary civilization in an era of intelligent revolutions, setting a precedent for unrivaled efficiency, creativity, and connectedness. The integration between these technologies contributes to the mutual benefit of each one, wherein this relation is a so-called ``reciprocal partnership''. For instance, the sixth generation (6G) wireless networks permit blockchain nodes to coordinate huge volumes of transaction data in real-time. On the other hand, blockchain is considered a secure valve because spectrum sharing can be automated with blockchain and smart contracts. Accordingly, analyzing and evaluating the contribution of these technologies …

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 …

A Pathfinder Lunar Construction Mission Concept Using Regolith Filled Bags, Cameron S. Dickinson, Fu Nan Shi, Ketan Vasudeva, Rudranarayan M. Mukherjee, Joshua Blanchard, Steve Dubrule, Paul Van Susante, Et Al.

Michigan Tech Publications

Two challenges that have a permanent presence on the Moon are solar and cosmic radiation, as well as the large surface temperature variation between lunar day and night. To address these problems, we propose a lunar pathfinder mission concept that uses robotic systems to investigate whether regolith-filled bags can be used as a versatile construction medium for lunar surface structures and sensors to obtain data on the lunar regolith. The primary objectives of this mission are as follows: evaluation of the surface and subsurface regolith as fill material, lunar excavation using a robotic manipulator equipped with a bucket scoop, bag …

Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control And Elephant Herding Optimization, Ehab Bayoumi

Mechanical Engineering

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Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control and Elephant Herding Optimization

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 …

Integrating Sustainable Material Procurement In Construction Waste Management: A Systematic Review With Narrative Synthesis For The Libyan Construction Sector, Ramzi Fouzi Hamad Abdullah, Safaa N Saud Al-Humairi, Zunirah Binti Mohd Talib

Journal of Sustainable Construction Materials and Technologies

Integrating sustainable material procurement with construction waste management is essential to reduce construction and demolition waste in Libya, where current practices remain largely reactive and disposal-oriented. This narrative review aims to develop a conceptual framework linking procurement decisions to waste-generation pathways in Libyan construction projects, clarifying how proactive, sustainability-driven purchasing can serve as a primary driver of waste prevention. Using a PRISMA-guided systematic search of Web of Science, Scopus, and IEEE Xplore for 2001–2026, and a bibliometric analysis via VOSviewer, 956 high-quality studies were synthesized to map global knowledge and to expose the paucity of integrated SMP–CWM studies in developing …