Digital Commons Network^™

Evaluation Of The Effect Of Vibration On Signal Reflection In Coaxial Cable Connectors For Vibration Sensing In Aircraft Structures And Systems, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Daniel S. Stutts, Jie Huang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper investigates the effects of vibration on signal reflection (S11) in aerospace data transmission line (ADTL) and commercial data transmission line (DTL) connectors for their alternative use as vibration sensors. The impact of vibration on the S11 signal was investigated on five ADTL and four DTL connectors at six vibration frequencies (20 Hz, 40 Hz, 80 Hz, 160 Hz, 320 Hz, and 640 Hz) and four vibration accelerations (0.5G, 1 G, 2 G, and 4G). The experiment was conducted using a split-plot design with a cable type assigned as the main-plot factor, with vibration frequency and acceleration as subplot …

A Hybrid Mechano-Thermal Route To Synthesize Reactive Pozzolans From Clay Minerals: A Case Of Kaolinite, Oluwadamilare Charles Adesina, Bryan K. Aylas-Paredes, Brian R. Cherry, Luciano A. Gobbo, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Aluminosilicate resources from unconventional sources offer promising potential for developing low-carbon supplementary cementitious materials (SCMs), yet their activation typically requires energy-intensive thermal processing. Kaolinite is a geographically abundant and highly attractive precursor clay mineral to reduce the clinker factor in concrete. By integrating mechano- and thermo- chemistry sequentially in a novel hybrid mechano-thermal activation (MTA) strategy for clay mineral activation, the dehydroxylation of pure kaolinite polymorphs KGa-1b and KGa-2 for enhanced pozzolanic reactivity is unlocked at temperatures that are lower than those needed for conventional thermal activation (TA). The mechano-chemical activation (MCA) step that induces significant structural defects and disorder …

Public Preferences For Critical Mineral Mining In The U.S.: Evidence From A Discrete Choice Experiment, Bamidele Ajiga, Kwame Awuah-Offei, Mahelet G. Fikru

Mining Engineering Faculty Research & Creative Works

Even though there is widespread recognition that we need to mine more critical minerals for national security and energy needs, concerns about environmental impacts often lead to public opposition to proposed new mining projects. The literature lacks sufficient data from communities with proposed mineral projects to assess drivers of differences in support. This study investigates public preferences for mining projects in three states in the United States with proposed critical minerals projects, using a discrete choice experiment. Respondents evaluated projects that vary in job creation, state tax revenue, tailings reprocessing content, groundwater impacts, and surface water impacts. We also randomly …

Nanobubble Flotation Strategy Of Fluorite Integrating Experimental And Dft Analysis, Ahmed Sobhy, Hadeer El-Shamy, Nourhan Ahmed, Mohsen Farahat

Mining Engineering Faculty Research & Creative Works

The conventional froth flotation of fluorite from quartz-rich ores is reagent-intensive and faces selectivity challenges, impacting its economic and environmental sustainability. This study presents a novel green intensification strategy through the synergistic integration of nanobubble (NB) technology with Density Functional Theory (DFT) simulations. Systematic optimization of sodium oleate (collector) and sodium silicate (depressant) dosages in conjunction with hydrodynamic parameters (air/wash water velocity, NB generation rate) was conducted in both mechanical and column flotation systems. The incorporation of nanobubbles yielded transformative improvements: in mechanical flotation, collector and depressant consumption were reduced by over 50% while maintaining a concentrate grade exceeding 90% …

Review Of Recovery Processes Of Palladium, Platinum, Gold, And Silver From Metallurgical Wastes, Luis Sanchez-Calderon, Marthias Silwamba, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Gold (Au), silver (Ag), platinum (Pt), and palladium (Pd) are precious metals with high economic value and critical industrial significance. Platinum and Pd, in particular, are classified as critical metals by major economies such as the United States, European Union, Japan, and South Korea due to their limited supply and essential roles in clean energy and high-technology applications. The rising market value and criticality of these metals have generated interest in their recovery, not just from primary ores and traditional source materials but also from secondary sources, such as metallurgical wastes. This review provides a thorough evaluation of current and …

Mechanism-Based Assessment Of Respirable Dust Exposure In Miners: Integrating Cfd-Dpm Simulation With Personalized Monitoring For Occupational Health Risk, Jiajun An, Fan Geng, Yuqing Feng, Changgeng Gui, Shihang Li, Xinjian He, Guang Xu, Zheng Zhang, Yibao Wang

Mining Engineering Faculty Research & Creative Works

Respirable dust in confined mine environments represents a significant environmental and occupational health challenge, requiring advanced monitoring and risk assessment methodologies. Current area-level monitoring overlooks the heterogeneity of personal exposure fields and the critical influence of human-ventilation interactions on local contaminant dispersion. This study develops an integrated monitoring-simulation method to quantify multi-worker dust exposure, assessing how worker position and orientation modulate risk under forced ventilation in narrow roadways. Occupational-specific dust sampling provided validation data for a three-dimensional Computational Fluid Dynamics-Discrete Phase Model (CFD-DPM) incorporating human-ventilation interactions. The model integrates a MATLAB-developed breathing function to dynamically couple respiratory cycles with particle …

Effect Of Allocation And Allocation Avoidance Methods On Life-Cycle Impact Results For Tellurium Production From Copper Anode Slimes, Ioanna Paschalidou, Kwame Awuah-Offei, Michael Moats

Mining Engineering Faculty Research & Creative Works

The global transition toward green energy has increased demand for metals and intensified the need for sustainable supply sources. Tellurium (Te), an essential metal for photovoltaics technology, is produced primarily as a by-product of copper refinery slimes treatment. This study conducts a life-cycle assessment (LCA) study of Te production to investigate the effect of environmental impact allocation choices on LCA results in multi-product metal systems. A cradle-to-gate LCA model of the Te product system was developed in SimaPro v9.5.0.1 software by combining industrial data, Ecoinvent v3.7.1 datasets, and literature information. Environmental impacts were quantified using the ReCiPe v1.04 Midpoint method …

Physics-Informed Machine Learning-Aided Framework For Entrainment Fraction In Gas-Liquid Two-Phase Annular Flow, Anadi Mondal, Subash L. Sharma

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The liquid film flow rate or droplet flow rate in annular flow is determined by a parameter known as the entrainment fraction. Conventional empirical correlations are commonly employed for predicting the entrainment fraction; however, their applicability is often restricted to specific operating conditions and working fluids. Recently, a few machine learning (ML) models have been developed to achieve better accuracy in entrainment fraction prediction. However, these models are completely data-driven, meaning they are good for prediction in the interpolated domain, but exhibit limited generalization capability in the extrapolated domain. To address this limitation, a physics-informed machine learning-aided framework (PIMLAF), combining …

Golden And Silver Dark Sirens For Precise H0 Measurement With Hetdex, Yixuan Dang, Ish Gupta, Robin Ciardullo, Erin Mentuch Cooper, Shiksha Pandey, Dustin Davis, Surhud More, Rachel Gray, Hsin Yu Chen, Daniel J. Farrow, Caryl Gronwall, Donghui Jeong, Shun Saito, Donald P. Schneider

Physics Faculty Research & Creative Works

Gravitational waves (GWs) from compact binary coalescences are standard sirens that provide a direct measure of the source's luminosity distance, enabling an independent measurement of the Hubble constant (H0). While a bright siren—a GW event with an identified electromagnetic (EM) counterpart—provided the first such constraint, most detections, currently dominated by black hole mergers, lack EM signatures. A measurement of H0 is still possible with these dark sirens by statistically associating GW events with galaxies in existing catalogs based on the sky localization. In this work, we explore the potential of two subsets of dark sirens categorized by their localization precision: …

Phases And Dynamics Of An Impurity Immersed In One-Dimensional Quantum Droplets, Dimitrios Diplaris, Ilias A. Englezos, Friethjof Theel, Peter Schmelcher, Simeon I. Mistakidis

Physics Faculty Research & Creative Works

We explore the ground-state properties of a single impurity immersed in a one-dimensional quantum droplet medium formed by a two-component Bose mixture. Relying on ab initio simulations, we demonstrate that tuning the impurity–droplet interactions allows to controllably reshape the droplets' density profiles and associated correlation patterns. For attractive impurity-medium couplings, the impurity becomes localized within the droplet, which exhibits a density hump at the vicinity of the impurity, while repulsive interactions facilitate phase separation. Comparing our many-body results with the appropriate extended Gross–Pitaevskii description, we find adequate agreement for the droplet density profiles, with the effective field approach systematically overestimating …

Patient-Reported Distress And Anxiety During Cone-Beam Ct Imaging Sessions With Increased Gantry Rotation Speeds, Atefeh Rezaei, Alex T. Price, Theodore H. Arsenault, Runyon Woods, Rojano Kashani, Angela Y. Jia, Daniel E. Spratt, Clair R. Kueny, Lauren E. Henke

Psychological Science Faculty Research & Creative Works

Introduction We conducted a prospective imaging clinical trial to evaluate rapid cone-beam computed tomography (CBCT) imaging on a C-arm linear accelerator. As part of this trial, we evaluated patient-reported anxiety and distress before and after imaging sessions to evaluate the impact of increased gantry rotation speed on patient experience. Materials and methods Forty patients undergoing radiotherapy (RT) as part of standard clinical care were separately imaged using CBCT imaging on a C-arm linear accelerator with faster gantry rotation (1.5 rpm versus standard 1.0 rpm speed used clinically) as part of an imaging clinical trial. Patient anxiety and distress were evaluated …

Emerging Biomaterials For Next-Generation Wound Healing: From Infection Control To Tissue Regeneration, Unqa Mustafa, Aiman Kaleem, Syeda Zunaira Bukhari, Hamna Riaz, Maryam Iftikhar, Muhammad Usman Munir, Xianghao Xiao, Mingwu Shen, Xiangyang Shi, Mostafa Yazdi, Ayesha Ihsan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Wound healing is a multifactorial biological process that regenerates damaged tissues through a series of molecular and cellular events in a coordinated manner. An interruption in this cascade can lead to impaired healing, especially in diabetic complications, where effective treatment is crucial for controlling infections and promoting tissue regeneration. Recent advances in bioengineering and digital health have catalyzed the development of next-generation wound therapies capable of actively modulating the wound microenvironment, promoting regeneration, and enabling real-time clinical assessment. This review summarizes the fundamentals of physiological wound healing and highlights the significant developments in biomaterial dressings and scaffolds, 3D bioprinting, as …

The Bridge Newsletter Summer 2026, Missouri University Of Science And Technology

The Bridge Newsletter

Features:

• Networking Nights

• McEvilly named president of S&T's Board of Trustees

• Forsee joins Kummer Foundation Board

• Lamitola named Outstanding Engineer in Government

Pso-Style Social Influence In An Ant Colony Algorithm For Continuous-Domain Optimization, Ashraf M. Abdelbar, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

ACOR is a well-established Ant Colony Optimization (ACO) algorithm for continuous-domain optimization. In this paper, we propose an extension (which we call ACOR∗) in which several fundamental modifications are made to ACOR's solution construction process, including the incorporation of a social influence mechanism borrowed from Particle Swarm Optimization (PSO). Our modifications to the ACOR algorithm are intended to promote search diversity and combat premature convergence. We experimentally evaluate our proposal in the context of training feedforward neural networks for classification using 65 widely used datasets from the University of California Irvine (UCI) repository, as well as the optimization of several …

Multiplexed Fabry-Pérot High-Temperature Sensing Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Bohong Zhang, Koustav Dey, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We propose and experimentally demonstrate a multiplexed high-temperature Fabry-Pérot (FP) fiber sensing system interrogated by dispersive microwave-photonic frequency-time domain analysis (DM-FTDA). In the proposed architecture, incoherent broadband probing light is modulated by radio-frequency (RF) signals and then reflected by a parallel network of hollow-core photonic crystal fiber FP (HCPCF-FP) sensors. A chirped fiber Bragg grating provides strong dispersion to map the composite FP spectral response into a well-defined microwave transfer function. Unlike conventional optical Fourier-domain multiplexing that requires deliberate cavity-length allocation, the proposed approach achieves multiplexing via delay-dominated discrimination. Distinct delay fibers are assigned to each sensor branch, and an …

Quantum And Structural Effects Captured Via A Statistical Method: The Sacm Applied To Hcn And Hnc Colliding With Co, F. Tonolo, Ernesto Quintas-Sánchez, A. Batista-Planas, Richard Dawes, F. Lique

Chemistry Faculty Research & Creative Works

This study spotlights the statistical adiabatic channel model as an efficient and accurate method for deriving low-temperature (de)-excitation rate coefficients for collisions induced by heavy projectiles. For such systems, fully quantum treatments become intractable, while quasi-classical methods fail at low temperature. Here, we demonstrate that the statistical adiabatic channel model overcomes these limitations by combining statistical sampling with an adiabatic channel representation. Its application to the HCN and HNC isomers colliding with CO yields rate coefficients in quantitative agreement with full quantum results benchmarked for the lowest total angular momentum. These systems are relevant for modeling cometary comae, where reliable …

Phase Field Modeling And A Fully Discrete Numerical Scheme For Two-Phase Incompressible Mhd Flows With Different Densities, Electric Conductivities And Viscosities, Xiaoyong Chen, Rui Li, Jian Li, Xiaoming He, Yanping Lin

Mathematics and Statistics Faculty Research & Creative Works

This article establishes a phase field model for governing the two-phase incompressible MHD flows with different densities, electric conductivities, and viscosities. In addition to the coupling between the Cahn–Hilliard phase field equations and the single-phase MHD equations together with the varying parameters, it is physically faithful and mathematically rigorous for the modeling to incorporate a relative flux term, which is related to the diffusion of the components, into the coupled system, inspired by Abels et al. and Shen and Yang. We present a linear fully discrete numerical scheme for this complex multi-physics system, which leverages the artificial compressibility method, an …

Liquid-Phase Chemical Melting Deposition For Anchored Nanoparticle–Nanofiber Architectures, Hiep Pham, Kiernan O'Boyle, Gracie Boyer, Jonghyun Park

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We report chemical melting deposition (CMD), a manufacturing strategy designed to overcome the low mass loading and weak interfacial bonding inherent to vapor-based synthesis. Unlike conventional vapor routes, CMD leverages a transient liquid-phase transfer (TLPT) mechanism driven by the differential thermal degradation of carrier fibers to transfer and anchor nanoparticles directly onto target fibers. This process thermodynamically drives the wetting and interfacial fusion of nanoparticles, establishing a liquid-phase contact pathway that enables markedly higher active material loading. To validate the structural resilience of this fused architecture against extreme volumetric stress, we utilized lead oxide (PbO) as a model system, which …

Optimizing Copper Slag As A Sustainable Precursor For Iron Phosphate Cement: Hydration Mechanism, Phase Transformation, And Environmental Safety, Wei Wang, Hongyan Ma, Xiunan Cai, Dan Luo, Zhicheng Xu, Zhongqiu Luo, Xintao Zhou

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Iron-rich copper slag (CS) has significant potential as a precursor for the synthesis of sustainable acid-base cement (AB). However, the roles and transformation behaviors of the diverse iron phases in CS during hydration remain unclear. In this study, the preparation conditions, early hydration behavior, transformation processes of iron components, and environmental safety of CS-based iron phosphate cement (CS-IPC) were systematically investigated. Under optimized conditions, with a CS/ADP mass ratio of 3.0 and a grinding time of 1.5 h, CS-IPC exhibited an initial setting time of 27.6 min and a flowability of approximately 159 mm. After curing for 3 and 28 …

Explicit Hydration Of The Beryllium Trifluoride Anion With One To Three Water Molecules: Bef3–(H2o)N=1–3, Kayleigh R. Autry, Gregory S. Tschumper

Chemistry Faculty Research & Creative Works

This work investigates the micro hydration of the beryllium trifluoride anion (BeF₃^–) with up to three water molecules (BeF₃^–(H₂O)_n where n = 1–3). Full geometry optimizations and harmonic vibrational frequencies were computed on various BeF₃^–(H₂O)_n stationary points using density functional theory methods (B3LYP-D3BJ, B3LYP, ωB97XD, and M06-2X) as well as the CCSD(T) and MP2 ab initio methods with a triple-ζ correlation-consistent basis set augmented with diffuse functions on all non-hydrogen atoms (haTZ). One BeF₃^–(H₂O)₁, five BeF₃^{– …}

Genetic Analysis Of Triplicated Genes Affecting Sex-Specific Skeletal Deficits In Down Syndrome Model Mice, Kourtney Sloan, Kristina M. Piner, Pathum Randunu Nawarathna Kandedura Arachchige, Charles R. Goodlett, Yann Herault, Gayla R. Olbricht, Joseph M. Wallace, Randall J. Roper

Mathematics and Statistics Faculty Research & Creative Works

Down syndrome (DS) is caused by the triplication of human chromosome 21 (Hsa21), resulting in skeletal insufficiency (low bone mineral density) and altered bone development. DS mouse models recapitulate these deficits, including sexual dimorphism in long bone alterations. Historically, Ts65Dn mice provided much of the insight behind DS-related skeletal deficits with ∼100 trisomic orthologous genes, but there are concerns about the genetic fidelity in this model due to the included triplication of genes not homologous to Hsa21. A new DS model, Ts66Yah, subtracted the non-Hsa21 homologous trisomic genes from Ts65Dn but has not been evaluated for long bone deficits. Comparing …

Multi-Population Sufficient Dimension Reduction, Xuerong Meggie Wen, Yuexiao Dong, Li Xing Zhu

Mathematics and Statistics Faculty Research & Creative Works

A novel dimension-reduction method is introduced for multi-population data. The approach conducts a joint analysis that exploits information shared across populations while accommodating population-specific effects. Unlike partial dimension reduction methods, which identify related directions across all populations, or conditional analyses conducted independently within each population, the proposed two-step procedure leverages cross-population information to enhance estimation accuracy. The methodology is demonstrated through simulations and two real-data applications.

A Low-Rank Solver For The Stokes–Darcy Model With Random Hydraulic Conductivity And Beavers–Joseph Condition, Yujun Zhu, Yulan Ning, Zhipeng Yang, Xiaoming He, Ju Ming

Mathematics and Statistics Faculty Research & Creative Works

This paper proposes, analyzes, and demonstrates an efficient low-rank solver for the stochastic Stokes-Darcy interface model with a random hydraulic conductivity both in the porous media domain and on the interface. We consider three interface conditions with randomness, including the Beavers–Joseph interface condition with the random hydraulic conductivity, on the interface between the free flow and the porous media flow. Our solver employs a novel generalized low-rank approximation of the large-scale stiffness matrices, which can significantly cut down the computational costs and memory requirements associated with matrix inversion without losing accuracy. Therefore, by adopting a suitable data compression ratio, the …

Evaluation Of Radar-Derived Polarimetric Precipitation Estimates For Extreme Rain Events Using A Dense Network Of Rain Gauges, Bong Chul Seo, Witold F. Krajewski, James A. Smith, Alexander V. Ryzhkov

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The study evaluates radar-based quantitative precipitation estimations (QPEs) for 10 extreme rain events that occurred between 2013 and 2019 in the Kansas City metropolitan area, United States. These precipitation estimates were derived at hourly and approximately 0.5-km scales using two polarimetric QPE algorithms}one based on specific attenuation (A) and the other on specific differential phase (KDP)} for the study area covered by two overlapping radars in Topeka, Kansas, and Kansas City, Missouri. The polarimetric QPE assessment for extreme rain events was motivated by improved flood forecasting and precipitation frequency analysis. The analysis utilizes ground reference observations from a dense network …

Smart-Charge: Stable Matching Algorithm For Electric Vehicle Charging In Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Sajal K. Das

Computer Science Faculty Research & Creative Works

The transition from internal combustion engine (ICE) to electric vehicles (EVs) introduces several challenges, including limited charging infrastructure, unpredictable charging wait times, and inefficient selection of charging points (CPs). To address these issues, we propose SMART-CHARGE, a framework that efficiently assigns EVs to CPs through an edge-level coordination mechanism within each service region, enforced by roadside units (RSUs). Operating under a novel subscription-based charging model, SMART-CHARGE enforces predefined charging time limits via service-level agreements (SLAs). The EV-CP assignment problem is formulated as a one-to-many matching game that captures EV user preferences. To construct bounded yet efficient EV coalitions at each …

Erratum For "Soil Freezing Characteristic Surface For Partially Frozen Soils", Antai Dong, Xiong Zhang, Ming Xiao

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The following corrections should be made to "Soil Freezing Characteristic Surface for Partially Frozen Soils" by Antai Dong, Xiong Zhang, and Ming Xiao, https://doi.org/10.1061/JGGEFK.GTENG -13924: In the third sentence of the Abstract, the value for suction when completely dried is incorrect. It should be 106 kPa. The label at the end of the suction axes in Figs. 1(a) and 2 is similarly inaccurate. Corrected versions of Figs. 1 and 2 are provided herein. To preserve the published version of record, these details have been corrected only in this erratum. (Figure Presented)

Computer Vision And Machine Learning Approaches For Defect Detection In 3d-Printed Cementitious Materials: A Systematic Review, Muhammad Ali Musarat, Ruben Paul Borg, Jingjie Wei, Carl James Debono, Kamal Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

3D printing is evolving at a fast pace in both the manufacturing and construction sectors. These advancements can greatly benefit these industries. However, the 3D printing of concrete structures presents some challenges due to defects in the 3D concrete printed elements. Hence, this study systematically reviews Artificial Intelligence (AI)-driven techniques, such as Computer Vision and Machine Learning, to identify surface defects that can occur in 3D-printed cementitious material structures. The adopted methodology was the PRISMA statement with the aim of reporting the systematic review and meta-analysis. Two well-known databases, Web of Science and Scopus, were utilised for data extraction of …

Greek Basileus "King" As A Possible Borrowing From Semitic Mšl "To Rule’", Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

No abstract provided.

Safepass: Efficient Emergency Vehicle Passage With Minimal Disruption To Traffic Flow, Osho Osho, Suchetana Chakraborty, Sajal K. Das

Computer Science Faculty Research & Creative Works

Emergency vehicle passage in congested urban networks poses a dual challenge: ensuring rapid response while minimizing disruption to surrounding traffic. This study addresses this challenge in the context of Connected Autonomous Emergency Vehicles (CA-EVs), proposing SafePass , a lightweight distributed framework for seamless CA-EV passage through decentralized, cooperative maneuvering of surrounding Connected Autonomous Non-Emergency Vehicles (CA-NEVs). At its core, SafePass employs the Target Lane Potential (TLP), a novel utility-based metric combining lane-choice utility with probabilistic gap acceptance, augmented by a cascade-aware penalty that suppresses upstream shockwaves triggered by gap-creation maneuvers. Evaluated in Simulation of Urban Mobility (SUMO) using synthetic traffic …

Enameling Coating Of Pipes: Thermal Proprieties And Corrosion Tests, Signo Reis, Genda Chen, Mike Koenigstein, Liang Fan

Materials Science and Engineering Faculty Research & Creative Works

Enamel coating on pipelines can be done in several ways such as the wet process, plasma spray, and electrostatic process. Wet process requires little capital expenses and provides an acceptable finish for industrial applications particularly when the part to be coated is small. Electrostatic process of enamel powder is most promising to coating large pipelines in field conditions. The enamel coating applied by the electrostatic process is very consistent and smooth since each particle is glass only. However, the powder is very fragile until fired and the charge retention is lowered in high humidity conditions. Coupons cut from a full-size …