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Advancing Activated Carbon Production: Utilizing Pine Pruning Biochar Via Induction Heating With Co2and Iron-Based Catalysts, Ahmet Erdem, Muthanna H. Al-Dahhan, Ahmed Jasim

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study introduces an induction heating approach for producing activated carbon from biochar obtained by thermal degradation of pine pruning waste from timber-related industries, using CO₂ and iron-based catalysts as activation agents. Activation experiments were performed using a 10 kW high-frequency induction system (28–40 kHz) under continuous CO₂ flow (15 mL min⁻¹), with electric current intensities of 200, 300, 400, and 500 A (corresponding to 700–1100°C) and durations of 30, 60, and 90 min, employing 45 g of iron-based catalysts (Fe–Ni–Ti–C, 85:6:3:6 wt.%) per 3 g biochar (15:1 w/w). Mass loss increased from 13.7 % (200 A, …

March 2026 Cafe Newsletter, Missouri University Of Science And Technology

CAFE Faculty Newsletters

Center for Advancing Faculty Excellence (CAFE) newsletter March 2026

Thermodynamically Consistent Incorporation Of The Langmuir Adsorption Model Into Compressible Fluctuating Hydrodynamics, Hyun Tae Jung, Hyungjun Kim, Alejandro L. Garcia, Andrew J. Nonaka, John B. Bell, Ishan Srivastava, Changho Kim

Faculty Research, Scholarly, and Creative Activity

For a gas–solid interfacial system where chemical species undergo reversible adsorption, we develop a mesoscopic stochastic modeling method that simulates both gas-phase hydrodynamics and surface coverage dynamics by coupling the Langmuir adsorption model with compressible fluctuating hydrodynamics. To this end, we derive a thermodynamically consistent mass–energy update scheme that accounts for how the mass and energy variables in the gas and surface subsystems should be updated according to the changes in the number of molecules of each species in each subsystem due to adsorption and desorption events. By performing a stochastic analysis for the ideal Langmuir model and the full …

New Insights Into Dynamic Evolution Of Colloidal Network Structure During Early-Age Hardening Of Cementitious Materials, Hengrui Liu, Kaiyin Zhao, Shipeng Zhang, Hanghua Zhang, Shuangshuang Liu, Lucen Hao, Hongyan Ma, Kamal Khayat, Chi Sun Poon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The evolution of microstructure in cementitious materials during their transition from fluid to solid state plays a critical role in determining their ultimate mechanical strength and overall performance. This hydration stage primarily involves a dynamic densification process occurring within the colloidal network. However, the field of cement-based materials currently lacks a comprehensive theoretical framework and associated parameters capable of effectively characterizing the specific structural regions within this network. In this study, we propose an Improved Particle Linkage (IPL) theory for describing the strength, types, and quantities of particle linkages within colloidal network. The IPL theory classifies the internal network structure …

State Of Charge Estimation Of Ev Secondary Battery Pack Using Hybrid Hedge Feedforward Feedback-Based Gated Recurrent Unit To Extend Lifespan, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum, Paul Moses

Research outputs 2022 to 2026

Accurate estimation of state of charge (SoC) and maintaining balanced charge levels across secondary battery cells are crucial in battery management systems (BMSs) to extend battery life while improving the performance and thermal stability of Li-ion batteries (LIBs) in electric vehicles (EVs). However, there are still underexplored challenges associated with circulating currents in electrochemical cells during continuous operation which can overheat battery packs, reducing their life span or result in dangerous thermal runaways. This paper investigates SoC estimation using various real-world charging and discharging profiles, along with charge-balancing strategies to enhance the longevity of parallel-connected Li-ion battery cells. A newly …

Green And Charge-Tuned Β-Cyclodextrin Polymers For Efficient Removal Of Pfas And Anionic Dyes From Water, Samira Sadeghi, Ahmad Najafidoust, Mark Mullett, Shayan Karimi, Masoumeh Zargar

Research outputs 2022 to 2026

Water contamination by per- and polyfluoroalkyl substances (PFAS) poses a major environmental challenge due to their persistence. This study evaluates positively charged, green-synthesized β-cyclodextrin polymers (β-CDP⁺) for the removal of perfluorobutanoic acid (PFBA) and perfluorooctanoic acid (PFOA) as short- and long-chain PFAS, respectively, from water. Methyl orange (MO) and acid red 1 (AR1), as anionic dyes, were used as proxies to optimize PFAS adsorption conditions. β-CDP⁺ exhibited high removal efficiencies (>90%) for all pollutants within 15–50 mg/L, reaching equilibrium within 30 min. Maximum adsorption capacities (Qm) were achieved for MO (335 mg/g), AR1 (384 mg/g), PFOA …

Shear Stability Enhancement In Fracture Plugging Zones: Unveiling Failure Mechanisms And Adhesive Benefits Through Photoelastic Analysis, Haoran Jing, Yili Kang, Chengyuan Xu, Lei Liu, Xiaopeng Yan, Zhenjiang You

Research outputs 2022 to 2026

Addressing lost circulation during drilling operations typically involves the utilization of lost circulation materials (LCMs) to create a fracture plugging zone (FPZ), which effectively decouples the wellbore fluid column pressure (Pw) from the formation pressure (Pf). This FPZ, comprised of aggregated granular LCM particles, frequently succumbs to shear stress, with shear failure being the predominant mode of structural failure, leading to ongoing fluid losses. To illuminate the failure mechanisms of the FPZ under conditions of escalating drilling differential pressure (Pw - Pf), we utilized photoelastic experiments to capture and visualize the evolving mesoscopic mechanical structure of the FPZ. Photoelastic images …

2026 March, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for March of 2026.

Rooted And Rising: A Case Study Of Chinese American Undergraduates' Career Pathways At A Pwi Post-Covid, Rebecca Yin-Chow Martinez

Theses & Dissertations

In the wake of the COVID-19 pandemic, Chinese American undergraduate students have navigated complex intersections of intergenerational expectations, racialized experiences, and evolving career aspirations within higher education. This qualitative case study explores how Chinese American undergraduate students at a predominantly white institution (PWI) choose their educational and career goals in a post-COVID climate. Guided by the Asian American Intergenerational Model of the Psychology of Working (AAIM), this study examines the influence of familial expectations, personal interests, institutional supports and barriers, and experiences of racism on students’ career decision-making processes. Data was collected through semi-structured interviews, a focus group, observations, Career …

Real-World Challenges Associated With Assembling Multicenter Radiomics Dataset, Wai Lone Jonathan Ho, Lawrence O. Hall, Dmitry Goldgof, Matthew B. Schabath

USF-LVHN SELECT

No abstract provided.

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 …

A High-Fidelity Multimodal Synthetic Dataset Generation Framework For Off-Road Unstructured Terrain Navigation Training Of Autonomous Robots, Liyana Wijayathunga, Dulitha Dabare, Alexander Rassau, Douglas Chai, Syed Mohammed Shamsul Islam

Research outputs 2022 to 2026

The success of deep learning methods in a wide range of application areas has inspired many recent developments in the urban and off-road autonomous navigation domain. In particular, techniques for semantic scene understanding, a key aspect of the navigation pipeline, have been researched extensively, resulting in many real-world and synthetic datasets. However, in comparison to urban semantic segmentation datasets, the availability of datasets for off-road environments remains sparse. In this paper, we aim to overcome this challenge by introducing a methodology capable of efficiently generating photorealistic synthetic datasets for off-road environments with support for multiple sensor modalities. The developed approach …

Towards Automated Assessment Of Students Self-Explanations In Code Comprehension, Jeevan Chapagain

Electronic Theses and Dissertations Archive

The field of computer science faces a significant challenge in meeting the growing demand for skilled graduates, despite increasing interest in CS education. A persistent gap between supply and demand is partly attributed to high attrition rates of 30-40% (or higher) in introductory CS courses (CS1 and CS2). While various interventions have been proposed, the scalable assessment of students’ understanding of programming concepts remains a critical challenge, particularly in the context of code comprehension exercises. This dissertation addresses the challenge of automated assessment in code comprehension by developing and evaluating novel approaches for analyzing students’ self-explanations of program code. We …

Explainable Machine Learning And Life Cycle Assessment For Sustainable Design Of Fiber-Reinforced Asphalt Concrete, Xiao Tan, Jianglei Xing, Soroush Mahjoubi, Pengwei Guo, Ziyao Wei, Yuan Wang, Jie Ren, Li Ai, Weina Meng, Yi Bao

Civil Engineering Faculty Publications

Conventional asphalt concrete has a limited lifespan due to cracking, deformation, and environmental degradation, driving the development of fiber-reinforced asphalt concrete (FRAC). However, key gaps remain in current data-driven FRAC studies due to small and homogeneous datasets, “black-box” machine learning models, and trade-offs between mechanical-sustainable performance, failing to provide a transparent understanding of features governing FRAC behaviors. This paper proposes a framework integrating explainable artificial intelligence and life cycle assessment (LCA) to advance mechanical and sustainable design of FRAC. A dataset of 2490 laboratory samples covers 15 input features and 3 mechanical outputs. Eight machine learning models, along with a …

Temperature Dependence Of The Imaging Properties Of Holographic Lenses, Tomás Lloret, Jorge Lasarte, Suzanne Martin, Izabela Naydenova, Inmaculada Pascual

Research Outputs: 2025-Present

The demand for advanced photonic technologies to enhance augmented reality (AR) devices has led to a significant interest in new optical materials suitable for operation in sometimes challenging environmental conditions, such as elevated temperatures levels. Holographic optical lenses (HOLs), fabricated using holographic recording, offer several advantages over traditional refractive lenses, including greater versatility, lower cost, lower weight, and increased adaptability. In this study, we investigated the optical and thermal performance of HOLs recorded on four different photosensitive materials: Bayfol HX200, Bayfol HX120, a PVA/acrylamide-based photopolymer (AA/PVA), and a photopolymerisable hybrid sol–gel (PHSG). The lenses were exposed to thermal cycles 20 …

Weaponizing Nature, Naturalizing Violence: Anthropologies Of Ecofascism, Chloe Ahmann, Mona Bhan, Alexandra Coțofană, Radhika Govindrajan, Julia Leser, Zeynep Oguz, Yuka Suzuki, Noah Theriault

All Works

After decades of denial and obstruction, the global Right is increasingly willing to acknowledge that climate change is a threat to lives and lifeways everywhere. Moreover, some seize on the specter of ecological collapse to advance fascistic politics. Mass shootings by White men who propose that eliminating racialized people will ease environmental pressures—including in Christchurch and El Paso—have been the most spectacular manifestations of this shift. But close observers note kindred shifts at borders and in boardrooms all across this planet, as far-right groups work not merely to “save the earth” but to save it for specific people, and from …

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 …

Optimizing And Fortifying Ai Software Through The Lens Of Artifact Synthesis, Jieke Shi

Dissertations and Theses Collection (Open Access)

Artificial Intelligence (AI) has transformed the software landscape, ushering in a new era of intelligent systems that increasingly shape our daily lives. This transformation is evident in various domains, including Software Engineering (SE), where Large Language Models (LLMs) support many development tools, and control systems, where self-driving cars and autonomous drones rely on deep learning models for real-time decision-making. These AI systems are collectively referred to as AI software, with the former categorized as AI4SE software (AI for Software Engineering) and the latter as AI4Control software (AI for Control). As AI software becomes central to modern computing infrastructure, its reliability …

Governance-By-Support: Non-Financial Incentive, Agency Costs, And Performance In Overseas Projects, Jixiang Lyu

Dissertations and Theses Collection (Open Access)

As the Belt and Road Initiative continues to advance, multinational corporations from emerging economies have become increasingly reliant on expatriates to oversee overseas project execution, facilitate technology transfer, and manage on-site coordination. However, in contexts characterized by financial constraints, information opacity, and significant geographic and cultural distance, traditional Western models of expatriate management, which emphasize high compensation and tight monitoring, often prove difficult to sustain in practice. In reality, some firms are able to maintain high levels of expatriate commitment and stable overseas project performance even when expatriate compensation is below market levels. This seemingly anomalous phenomenon poses an interesting …

A Study On The Relationship Between Traffic Spillover And Rental Rates Of Shopping Centre Stores Based On Consumer Movement Data, Hongjun Zhang

Dissertations and Theses Collection (Open Access)

This study is based on consumer movement trajectory data and examines the relationship between traffic spillover among stores within shopping centres and their rent ratios, responding to the practical limitation that traditional rental pricing mechanisms often overlook the dynamic structure of customer flows. Using micro-level consumer movement data and store rental data from three shopping centres in Shenzhen, Nanjing, and Chongqing, this paper constructs a store transition network reflecting customer movements between stores. Social network analysis is employed to measure stores’ network influence indicators (such as degree centrality, betweenness centrality, and structural holes) as well as traffic spillover indicators derived …

Art Pricing And Anti-Corruption Campaigns: Evidence From Repeat Sales Of Chinese Paintings, Yihan Wang

Dissertations and Theses Collection (Open Access)

My dissertation investigates the impact of China’s anti-corruption campaign on the pricing of traditional Chinese paintings, leveraging a unique dataset of repeat sales transactions. Since the 1990s, China’s art market has experienced explosive growth, becoming the world’s largest by 2011. However, this market is characterized by extreme opacity, facilitating elegant bribery (“ya hui” in Chinese), where artworks serve as vehicles for implicit corruption through inflated auctions or disguised gifts to officials. The launch of the "Eight-point Regulation" in December 2012 marked a significant intensification of anti-corruption efforts, raising the critical question of how such political shocks affect asset pricing 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 …

Emerging Design Paradigms And Microstructural Innovations In Refractory High-Entropy Alloys: A Critical Review, Deyu A. Jiang, Lai Chang Zhang, Kuaishe Wang, Mahmoud Ebrahimi, Wen Wang, Liqiang Wang, Weijie Lu, Di Zhang

Research outputs 2022 to 2026

Refractory high-entropy alloys (RHEAs) are being developed to meet mechanical, thermal and chemical requirements that exceed what current super-alloys can withstand. This review explains how composition design, processing routes and the resulting microstructures now combine to realize that potential. We first link phase selection in BCC-, FCC- and dual-phase RHEAs to atomic-size mismatch, mixing enthalpy and valence-electron concentration, and compare manufacturing paths ranging from arc melting to powder metallurgy, additive manufacturing and vapor deposition, showing how each reshapes grain structure and defect chemistry to improve high-temperature strength, corrosion resistance and irradiation tolerance. Computation-led tools—density-functional theory, calculation of phase diagrams and …

Widespread Decline In The Abundance Of Sea Cucumber Assemblages In Atolls Of The Protected Rowley Shoals, Northwestern Australia, Inês Leal, Claire L. Ross, Simone Strydom, Richard D. Evans, Thomas H. Holmes, Graham J. Edgar, John K. Keesing

Research outputs 2022 to 2026

The Rowley Shoals, off northwestern Australia, are renowned as a biodiversity hotspot. This remote system comprises three atolls, Clerke, Imperieuse and Mermaid, which in recent years have been increasingly targeted by illegal fishing, a pressure rising across the Indo-Pacific. The objective of this study was to quantify recent changes in sea cucumber assemblages across the Rowley Shoals. We surveyed nine sea cucumber species at monitoring sites in 2018 and 2023 to assess changes in their abundance. Total assemblage densities declined significantly across all atolls and habitats. Documented seizures of illegally harvested holothurians by the Australian Fisheries Management Authority over this …

Securing Ai Models Against Backdoors, Jailbreaks, And Prompt Injections, Myat Min Nay

Dissertations and Theses Collection (Open Access)

Deep neural networks (DNNs) and large language models (LLMs) in safety-critical settings face a family of related threats: an adversary can corrupt training so a hidden trigger flips a model’s behavior (backdoor), craft inference-time inputs that override safety alignment (jailbreaks) or smuggle in task-overriding instructions (prompt injections), or steer the model’s stance on whole concepts (semantic inconsistencies). Current defenses address each of these in isolation. This dissertation argues they admit a unified treatment through a shared diagnostic design principle: a matched perturbation, probing, or operating condition exposes a method-specific diagnostic signal in the model’s internal computation or observable behavior, and …

Applying Direct Numerical Simulations To Investigate Wave Forcing Against A Vertical Wall, Hunter Boswell, Frank D. Han, Gaurav Savant, Guirong Yan, Wouter Mostert

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Current engineering standards lack the ability to predict the peak impact forces of breaking waves impinging directly upon coastal structures. In this study solitary waves impacting vertical and tapered walls are investigated. To capture the detailed physics of the wave profile that impacts the wall, two-dimensional direct numerical simulations are applied to model the wave traveling over a simplified bathymetry consisting of an initially uniform depth, followed by a uniform beach ramp and then terminating in a uniform depth inshore region and vertical wall. Such an approach can simulate wave runup on land and then the impact with the vertical …

Electroactive Pvdf/Ti3c2tx Mxene Functionalized Nanofiber Mats With High Surface Potential For High-Efficiency Indoor & Outdoor Submicron Pm(0.3-2)Μm Filtration, Ashish Kakoria, Mirza Muhammad Zaid, Aamir Iqbal, Mahsa Moradi, Lina Zheng, Guang Xu

Mining Engineering Faculty Research & Creative Works

Fine PM0.3-2.0 rapidly penetrates the respiratory system and causes health problems. Commercial filters remove 0.3 μm particles at ∼95 % efficiency but impose high pressure drops that make breathing difficult. We fabricate a novel electrospun PVDF-Ti₃C₂Tx nanofiber mat for PM0.3–2.0 filtration. Where a high electric field stretched PVDF and PVDF-Ti₃C₂Tx solutions into ultrafine fibers that were collected as porous nanofibrous mats. PVDF was chosen for its electroactive behavior and high dielectric constant, enabling efficient electrostatic filtration. The incorporation of Ti₃C₂Tx MXene enhances surface charge density and interfacial polarization, …

An Adaptive Immersive Training Framework For Miner Self-Escape Readiness In Underground Mining Emergencies, Muhammad Azeem Raza, Samuel Frimpong, Saima Ghazal

Mining Engineering Faculty Research & Creative Works

Underground mining environments are complex and hazardous operations where emergencies continue to happen. Underground mine emergencies require rapid, high-stakes decision-making under conditions of uncertainty, stress, and limited visibility. Conventional mine emergency training largely relies on instruction-based approaches which provide insufficient exposure to the cognitive and behavioral demands of real underground emergency situations. There has been an identified need to train miners for knowledge, skills, abilities, and other characteristics (KSAOs). This study proposes an Adaptive Immersive Training Framework (AITF), a cognitively grounded architecture that integrates cognitive task analysis (CTA), KSAOs, and situational awareness assessment for miner self-escape training and readiness. The …

Microstructural Evolution Of Zirconium Diboride Irradiated With 5–10 Mev Au Ions At Room Temperature And 570 °C, Narrie Loftus, José Olivares, Miguel Crespillo, Esther Enríquez Pérez, Jeremy Watts, Eric W. Bohannan, Gregory Hilmas, William Fahrenholtz, Joseph Graham

Materials Science and Engineering Faculty Research & Creative Works

Zirconium diboride was irradiated with 5 MeV Au^2 + , 7 MeV Au⁴⁺ and 10 MeV Au³⁺ ions at room temperature and 570 °C to doses from 1 to 8 displacements per atom (dpa). Grazing incidence X-ray diffraction (GIXRD) analysis revealed no secondary phase formation. Rietveld analysis of the GIXRD data indicated an accumulation of microstrain at low dpa and room temperature. Dislocations observed in transmission electron microscopy (TEM) cross-sections are likely the main contributor to the microstrain. High dpa and high-temperature samples exhibit lower lattice distortion than lower dpa samples, suggesting the presence of enhanced defect …