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Articles 751 - 780 of 74979

Full-Text Articles in Engineering

Failure Of Infrastructure Systems: A Multilevel Network Analysis Of Decision-Making And Influential Behavioral Constructs, Tamima Elbashbishy, Radwa Eissa, Islam H. El-Adaway, Jeffrey S. Russell Mar 2026

Failure Of Infrastructure Systems: A Multilevel Network Analysis Of Decision-Making And Influential Behavioral Constructs, Tamima Elbashbishy, Radwa Eissa, Islam H. El-Adaway, Jeffrey S. Russell

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

High-profile failures of infrastructure systems are often attributed to design flaws. However, these incidents can also stem from a broader set of interconnected decisions made by stakeholders involved in the planning, management, and operation of these systems. While ethical guidelines and professional codes are designed to prevent such failures, cognitive biases may undermine adherence. Previous research efforts, primarily focused on ethical violations using case studies, have overlooked how behavioral ethics constructs and professional conduct could drive these breaches. This paper addresses this knowledge gap by (1) conducting an analysis of three system failure cases at the micro, meso, and macro …

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Methodology For Surface Defect Assessment In 3d Concrete Printing Using Computer-Vision And Ultrasonic Testing Considering Structural Build-Up, Seongho Han, Eunjong Ahn, Myoungsu Shin, John S. Popovics, Kamal H. Khayat Mar 2026

Methodology For Surface Defect Assessment In 3d Concrete Printing Using Computer-Vision And Ultrasonic Testing Considering Structural Build-Up, Seongho Han, Eunjong Ahn, Myoungsu Shin, John S. Popovics, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study quantifies how interlayer time gaps and mixture rheology jointly influence interfacial integrity and mechanical performance in 3D concrete printing (3DCP). Two mixtures incorporating identical binders, but differing limestone fineness (4 and 50 μm) were printed with interlayer delays of 0, 2, and 5 min, corresponding to stacking rates of approximately 9, 0.5, and 0.2 m/h. The finer limestone mixture exhibited higher plastic viscosity (13.2 vs. 11.5 Pa s) and faster structural buildup (58 vs. 38 Pa/min), resulting in accelerated early stiffening. Deposition yield stress derived from buildup measurements remained low for 0–2 min (1400–1500 Pa for the higher-thixotropy …

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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 Mar 2026

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 …

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Quantitative Comparison Of Different Ultrasound Simulation Approaches For Civil Engineering Applications, Fabian Dethof, Simon Schmid, Jean-Marie Henault, Thomas Schumacher, Sylvia Kessler, Salvador Villalobos Mar 2026

Quantitative Comparison Of Different Ultrasound Simulation Approaches For Civil Engineering Applications, Fabian Dethof, Simon Schmid, Jean-Marie Henault, Thomas Schumacher, Sylvia Kessler, Salvador Villalobos

Civil and Environmental Engineering Faculty Publications and Presentations

Interpreting ultrasonic waveforms is often challenging, especially in the presence of tilted boundaries that introduce multiple reflections, mode conversions, and echoes. To analyze such complex signal patterns, wavefield simulations provide a valuable tool. To ensure confidence in the simulation results, the accuracy of the numerical method is crucial. Another consideration when using simulations is their computational expense. Especially in civil engineering applications, large structures need to be investigated, which may not be feasible given the available resources. In this study, different numerical methods and software implementations commonly used for simulations in civil engineering are compared, including the Elastodynamic Finite Integration …

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Synergist Free Solvent Extraction Of Lithium From Alkaline Salt Lake Brines Using Thenoyltrifluoroacetone In Octanol, Shayan Abrishami, Amir Razmjou Mar 2026

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 ± …

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Navigation Beyond Wayfinding: Robots Collaborating With Visually Impaired Users For Environmental Interactions, Shaojun Cai, Nuwan Janaka, Ashwin Ram, Janidu Shehan, Yingjia Wan, Kotaro Hara, David Hsu Mar 2026

Navigation Beyond Wayfinding: Robots Collaborating With Visually Impaired Users For Environmental Interactions, Shaojun Cai, Nuwan Janaka, Ashwin Ram, Janidu Shehan, Yingjia Wan, Kotaro Hara, David Hsu

Research Collection School Of Computing and Information Systems

Robotic guidance systems have shown promise in supporting blind and visually impaired (BVI) individuals with wayfinding and obstacle avoidance. However, most existing systems assume a clear path and do not support a critical aspect of navigation—environmental interactions that require manipulating objects to enable movement. These interactions are challenging for a human–robot pair because they demand (i) precise localization and manipulation of interaction targets (e.g., pressing elevator buttons) and (ii) dynamic coordination between the user’s and robot’s movements (e.g., pulling out a chair to sit). We present a collaborative human–robot approach that combines our robotic guide dog’s precise sensing and localization …

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Efficient Active Training For Deep Lidar Odometry, Beibei Zhou, Zhiyuan Zhang, Zhenbo Song, Jianhui Guo, Hui Kong Mar 2026

Efficient Active Training For Deep Lidar Odometry, Beibei Zhou, Zhiyuan Zhang, Zhenbo Song, Jianhui Guo, Hui Kong

Research Collection School Of Computing and Information Systems

Robust and efficient deep LiDAR odometry models are crucial for accurate localization and 3D reconstruction, but typically require extensive and diverse training data to adapt to diverse environments, leading to inefficiencies. To tackle this, we introduce an active training framework designed to selectively extract training data from diverse environments, thereby reducing the training load and enhancing model generalization. Our framework is based on two key strategies: Initial Training Set Selection (ITSS) and Active Incremental Selection (AIS). ITSS begins by breaking down motion sequences from general weather into nodes and edges for detailed trajectory analysis, prioritizing diverse sequences to form a …

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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 Mar 2026

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 …

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Applying Two-Stage Risk-Based Market Structures For Energy Hub-Based Plug-In Electric Vehicles Using Information Decision Gap Theory And A Hybrid Recurrent Convolutional Network, A. Heidari, R. C. Bansal, R. Bo Mar 2026

Applying Two-Stage Risk-Based Market Structures For Energy Hub-Based Plug-In Electric Vehicles Using Information Decision Gap Theory And A Hybrid Recurrent Convolutional Network, A. Heidari, R. C. Bansal, R. Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates the optimal operation of an energy hub engaged in both day-ahead and real-time trading. A two-stage optimization framework Information Gap Decision Theory (IGDT) for day-ahead bidding and stochastic programming with Monte Carlo scenarios for real-time recourse is applied. Risk-neutral, risk-averse, and risk-taking strategies are considered to capture different risk preferences. The hub integrates combined heat and power, renewable energy, plug-in electric vehicles, and vehicle-to-grid and grid-to-vehicle technologies. Price and load forecasts are generated using a hybrid recurrent convolutional network (HRCN). Results highlight the trade-off between risk management and economic performance: costs are 16.5 % higher in the …

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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 Mar 2026

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, …

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Sustainable Pathways For Fish Waste Oil Valorization Into Biofuel: Process Synthesis And Case Study, Hany A. Elazab, Radhi H. Alazmi, Abdelrahman El-Bagalaty, Hossam Tammam, Mahmoud El-Sayed, Mohamed Omar, Fathi Shokry, Mamdouh A. Gadalla, Fatma H. Ashour, Thokozani Majozi Mar 2026

Sustainable Pathways For Fish Waste Oil Valorization Into Biofuel: Process Synthesis And Case Study, Hany A. Elazab, Radhi H. Alazmi, Abdelrahman El-Bagalaty, Hossam Tammam, Mahmoud El-Sayed, Mohamed Omar, Fathi Shokry, Mamdouh A. Gadalla, Fatma H. Ashour, Thokozani Majozi

Chemical and Biochemical Engineering Faculty Research & Creative Works

Biodiesel is a promising, sustainable alternative to fossil fuels such as petrol and diesel. Currently, biodiesel can be produced from edible plant oils and non-edible sources and wastes. Notably, fish waste oil is a sustainable resource for transesterification reactions to produce biodiesel. This research proposes a general process design methodology to investigate the potential of biodiesel production from fish waste oil as a pathway for waste-to-energy. The methodology integrates Pinch Analysis principles and process simulation to optimize the energy efficiency of a process design. Real data are collected on fish waste from fish industries in Egypt, focusing on three regions …

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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 Mar 2026

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, …

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Applying Direct Numerical Simulations To Investigate Wave Forcing Against A Vertical Wall, Hunter Boswell, Frank D. Han, Gaurav Savant, Guirong Yan, Wouter Mostert Mar 2026

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 …

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The Effect Of Si And Zr On The Formation Of Al3x And V-Phase In A 6005a Alloy With Sc—Part 1: Alloy Design And Heat Treatment Selection, Eli A. Harma, Timothy Langan, Paul Sanders Mar 2026

The Effect Of Si And Zr On The Formation Of Al3x And V-Phase In A 6005a Alloy With Sc—Part 1: Alloy Design And Heat Treatment Selection, Eli A. Harma, Timothy Langan, Paul Sanders

Michigan Tech Publications

Adding Sc to 6xxx series alloys has led to inconsistent results due to the formation of the high-temperature, thermodynamically stable V-phase (AlSc2Si2). Thermo-Calc single-axis equilibrium and phase diagram calculations were employed to identify V-phase formation with varying Si and Zr concentrations, indicating that increasing Zr and decreasing Si lowered the V-phase equilibrium volume fraction. Increasing Zr also shifted the V-phase equilibrium to higher Si concentrations. To access real-world influences of Zr and Si, four compositions were cast with different Si and Zr concentrations: a high-Si, low-Zr alloy; a medium-Si, medium-Zr alloy; a low-Si, high-Zr alloy; and a baseline alloy without …

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On Signifiable Computability: Part Iii: A Note On Unnameable Functions On Natural Numbers, Vladimir A. Kulyukin Mar 2026

On Signifiable Computability: Part Iii: A Note On Unnameable Functions On Natural Numbers, Vladimir A. Kulyukin

Computer Science Faculty and Staff Publications

A writing system 𝔚 on an alphabet 𝒜 is a tuple (ℜ,𝔐), where ℜ is a finite set of text formation rules and 𝔐 is a finite rule application mechanism that generates texts on 𝒜. A natural writing system forms natural language texts on an alphabet such as Sanskrit on Devanagari. An artificial writing system generates formal language texts on an alphabet such as Lisp on Unicode. Let ℕ ={0,1,2,…} be the set of natural numbers. A function on natural numbers 𝑓 :ℕ𝑘 ↦ ℕ, 0 < 𝑘 ∈ ℕ, is nameable by a writing system on an alphabet if, and only if, the system can generate a text on the alphabet that names f and no other function. We show that there exist functions on natural numbers unnameable in principle in that they cannot be named by any writing system on any alphabet. Our results imply the following computability-theoretic hierarchy of functions on natural numbers: computable ⊊ partially computable ⊊ nameable ⊊ 𝔉, where 𝔉 is the set of functions on ℕ.

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Dvr Service Evaluation And Fee Sufficiency Study, Mallory Brown, Andrew Martin, Jeeyen Koo, Jennifer Walton Mar 2026

Dvr Service Evaluation And Fee Sufficiency Study, Mallory Brown, Andrew Martin, Jeeyen Koo, Jennifer Walton

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet’s (KYTC) Department of Vehicle Regulation (DVR) administers numerous fees and taxes. Many administered by the two divisions in DVR — Motor Vehicle Licensing (DMVL) and Motor Carriers (DMC) — have remained unchanged for many years despite salary increases, the adoption of more complex and expensive technologies, and inflation raising administrative costs. This report provides in-depth assessments of 10 fees and taxes (selected by division administrators). Six are administered by DMVL — certificate of title, duplicate title, vehicle title history report, additional registration fee, reflectorized license plate fund, and trailer registrations — and four are managed by …

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The Illusion Of Causality In Llms: A Developmentally Grounded Analysis Of Semantic Scaffolding And Benchmark–Capability Mismatches, Daisuke Akiba Mar 2026

The Illusion Of Causality In Llms: A Developmentally Grounded Analysis Of Semantic Scaffolding And Benchmark–Capability Mismatches, Daisuke Akiba

Publications and Research

Recent benchmarks increasingly report that large language models (LLMs) exhibit human-like causal reasoning abilities, including counterfactual inference and intervention planning. However, many such evaluations rely on domains that are heavily represented in training data and embed strong semantic cues, raising the possibility that apparent causal competence may reflect semantic pattern recombination rather than structure-sensitive causal reasoning. Drawing on human developmental theories of causal induction, this perspective argues that genuine causal understanding requires robustness to novelty and reliance on conditional structure rather than semantic familiarity. To illustrate the testability of this claim, the paper includes a pilot demonstration using synthetic causal …

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Data-Driven Non-Precipitation Echo Removal Of Nexrad Radars Based On A Random Forest Classifier Using Polarimetric Observations And Goes-16 Data, Munsung Keem, Bong Chul Seo, Witold F. Krajewski, Sangdan Kim Mar 2026

Data-Driven Non-Precipitation Echo Removal Of Nexrad Radars Based On A Random Forest Classifier Using Polarimetric Observations And Goes-16 Data, Munsung Keem, Bong Chul Seo, Witold F. Krajewski, Sangdan Kim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Highlights: What are the main findings? A Random Forest-based model using dual-polarimetric radar features achieves >99% accuracy in classifying precipitation and non-precipitation echoes. Multi-scale spatial variability features enhance discrimination between genuine precipitation and spurious echoes. Fusion of GOES-16 infrared satellite data with NEXRAD radar effectively removes non-precipitation echoes with precipitation-like signatures, including wind turbine clutter. A CAPPI scan strategy improves near-radar precipitation detection by recovering valid echoes misclassified at the lowest elevation due to side-lobe interference and limited sampling volume. What are the implications of the main findings? The model's robustness to noise and overfitting, combined with minimal hyperparameter tuning, …

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Understanding Human Arm Stiffness Modulation In Overground Phri: The Roles Of Kinematics, Perturbation, And Trunk Sway, Mohsen Mohammadi Beirami, Sambad Regmi, Devin Michael Burns, Yun Seong Song Mar 2026

Understanding Human Arm Stiffness Modulation In Overground Phri: The Roles Of Kinematics, Perturbation, And Trunk Sway, Mohsen Mohammadi Beirami, Sambad Regmi, Devin Michael Burns, Yun Seong Song

Psychological Science Faculty Research & Creative Works

This study examines human arm kinematics during overground physical human-robot interaction (pHRI). Previous work showed humans adjust arm stiffness with changing trajectory uncertainty, but the roles of arm kinematics and muscle activation remained unclear. Building on a preliminary study, we analyzed arm movements with more participants (10 individuals) to achieve more reliable findings and examined two potential influences that arose in the preliminary study: the robot's perturbation effect (a brief hand push) and left-to-right trunk sway. Using a linear mixed-effects model, we evaluated the effects of participant, block, and trajectory condition on arm angles. Results showed minimal kinematic contribution to …

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Unhsc Scm Performance Fact Sheets, Unh Stormwater Center Mar 2026

Unhsc Scm Performance Fact Sheets, Unh Stormwater Center

UNH Stormwater Center

No abstract provided.

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Microwave Dielectric Properties Of Geopolymer Precursor Powders, Linh T. Duong, Abu Naser Rashid Reza, Kristen M. Donnell, Christopher R. Shearer Mar 2026

Microwave Dielectric Properties Of Geopolymer Precursor Powders, Linh T. Duong, Abu Naser Rashid Reza, Kristen M. Donnell, Christopher R. Shearer

Electrical and Computer Engineering Faculty Research & Creative Works

Geopolymers are sustainable structural materials with properties similar to ordinary Portland cement concrete. To better understand the fundamental reaction mechanisms of geopolymers, a microwave materials characterization approach is used. In this research work, the dielectric properties (permittivity and loss factor) of common precursor powders used to make geopolymers (GPPs)—fly ash, lime, metakaolin, silica fume, slag, and zeolite—are measured over the S- and X-band frequency ranges (i.e., 2.0–4.0 GHz and 8.2–12.4 GHz, respectively). The physical characteristics, elemental composition, mineralogical properties, and phase characterization of the GPPs are then correlated to dielectric properties. Permittivity of GPP, classified as pozzolanic or latent hydraulic, …

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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 Mar 2026

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 …

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Evaluation Of Existing Wwtp Using Gps-X Modelling And Simulation Software, Mohamed Hussein Hegazy, Mohamed Ibrahim Sobhy, Mohamed Nouh Meshref, Marwan Ahmed Elghonimy Mar 2026

Evaluation Of Existing Wwtp Using Gps-X Modelling And Simulation Software, Mohamed Hussein Hegazy, Mohamed Ibrahim Sobhy, Mohamed Nouh Meshref, Marwan Ahmed Elghonimy

Civil Engineering

Research on ways to make WasteWater Treatment Plants (WWTPs) work better is still limited. In this study, GPS-X simulation was used to predict how a WWTP behaves under different operating conditions and to suggest ideas for future improvement. GPS-X version 8.5 was applied for dynamic modelling and simulation to check the performance of the Arab Abo Saed Wastewater Treatment Plant in Helwan, Egypt. Two operating cases were studied: one with the highest water flow and the lowest pollutant levels, and another with the lowest water flow and the highest pollutant levels. Real data from two years (2022–2023) was used for …

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Design And Tissue Engineering Applications Of Microporous Annealed Particle (Map) Scaffolds, Nic D. Leipzig, Oluwaseyi Shofolawe-Bakare Mar 2026

Design And Tissue Engineering Applications Of Microporous Annealed Particle (Map) Scaffolds, Nic D. Leipzig, Oluwaseyi Shofolawe-Bakare

University Research

Microporous annealed particle (MAP) scaffolds are emerging as a facile, yet sophisticated biomaterial platform with tremendous potential for tissue regenerative applications. These scaffolds are fabricated in situ through interparticle crosslinking of microgels using a variety of covalent or non-covalent techniques and possess excellent tunability and biocompatibility. The microporous structure of MAP scaffolds allows cellular infiltration and vascularization independent of degradation rate, making them more advantageous than traditional nanoporous bulk hydrogels. Moreover, the incorporation of in situ crosslinking allows MAP scaffolds to retain the key advantages of traditional microgel-based scaffolds—such as injectability and modularity—while providing the added benefit of a fixed …

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Cancerseg-Xa: Medical Histopathology Segmentation System Based On Xception Backbone And Attention Mechanisms, Alaa Youssef, Wessam H. El-Behaidy, Aliaa Youssif Mar 2026

Cancerseg-Xa: Medical Histopathology Segmentation System Based On Xception Backbone And Attention Mechanisms, Alaa Youssef, Wessam H. El-Behaidy, Aliaa Youssif

Computer Science

Accurate segmentation of histopathological images is essential to support early diagnosis and effective treatment planning in cancer care. This study presents CancerSeg-XA, a deep learning-based histopathology segmentation system designed to deliver robust performance across diverse tissue types and imaging sources. Built upon the DeepLabV3+ framework, CancerSeg-XA incorporates architectural enhancements to strengthen feature representation and improve model stability. The system was evaluated on three widely recognized datasets—BCSS, PanNuke, and PUMA—each presenting distinct structural and clinical challenges. Across all datasets, CancerSeg-XA consistently outperformed the baseline DeepLabV3+ in terms of segmentation accuracy, recall, and F1-score. Specifically, it achieved accuracy improvements of 4.78%, 4.31%, …

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The Effect Of Reduction Of Input-Parameters On Data-Driven Prediction Of Critical Heat Flux In Rod Bundles Using Extended Parameters For Reactor Thermal–Hydraulic Safety, Rehan Zubair Khalid, Atif Khan, Farooq Ahmad, Muthanna H. Al-Dahhan, Atta Ullah Mar 2026

The Effect Of Reduction Of Input-Parameters On Data-Driven Prediction Of Critical Heat Flux In Rod Bundles Using Extended Parameters For Reactor Thermal–Hydraulic Safety, Rehan Zubair Khalid, Atif Khan, Farooq Ahmad, Muthanna H. Al-Dahhan, Atta Ullah

Chemical and Biochemical Engineering Faculty Research & Creative Works

Accurate prediction of the critical heat flux (CHF) is a key pillar for ensuring both the safety and economic performance of nuclear reactors. While machine learning (ML)-based methodologies have demonstrated considerable success in predicting CHF, most existing studies have been confined to simplified geometries, such as single tubes. Conversely, limited attention has been devoted to CHF prediction in realistic reactor environments, particularly within rod bundle configurations, where complex multiphase flow and heat transfer phenomena prevail. In this work we develop different AI models based on large dataset operating conditions as well as the complex geometric features of rod bundles. The …

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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 Mar 2026

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 Au2 + , 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 …

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Thermally Stable Sic Particulate-Reinforced Sic Composites Up To 2000 ℃ Fabricated By Precursor Impregnation And Pyrolysis Method, Jian Gu, Vu Viet Hung, Lun Feng, William G. Fahrenholtz, Daejong Kim, Seyoung Kim, Sea Hoon Lee Mar 2026

Thermally Stable Sic Particulate-Reinforced Sic Composites Up To 2000 ℃ Fabricated By Precursor Impregnation And Pyrolysis Method, Jian Gu, Vu Viet Hung, Lun Feng, William G. Fahrenholtz, Daejong Kim, Seyoung Kim, Sea Hoon Lee

Materials Science and Engineering Faculty Research & Creative Works

The thermo-mechanical properties of SiC particulate-reinforced SiC composites (SiC-PRCs), fabricated using precursor impregnation & pyrolysis (PIP) process, were analyzed up to 2000 ℃. The relative density of the SiC-PRCs after 4 PIP cycles was 88.6 %. The number of PIP cycles required decreased to nearly half compared with the conventional PIP method by using ultra-high concentration slurries up to 70 vol%. In addition, room-temperature bending strength (215 MPa) and Young's modulus (269 GPa) improved as the solid loading of the slurry increased. The bending strength increased to 232 MPa at 2000 ℃ in Ar. Despite the thermal deterioration of the …

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A Software Package For Generating Robust And Accurate Potentials Using The Moment Tensor Potential Framework, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek Mar 2026

A Software Package For Generating Robust And Accurate Potentials Using The Moment Tensor Potential Framework, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek

Materials Science and Engineering Faculty Research & Creative Works

We present the Plan for Robust and Accurate Potentials (PRAPs), a software package for training and using moment tensor potentials (MTPs) in concert with the Machine Learned Interatomic Potentials (MLIP) software package. PRAPs provides an automated workflow to train MTPs using active learning procedures, and a variety of utilities to ease and improve workflows when utilizing the MLIP software. PRAPs was originally developed in the context of crystal structure prediction, in which one calculates convex hulls and predicts low energy metastable and thermodynamically stable structures, but the potentials PRAPs develops are not limited to such applications. PRAPs produces two potentials, …

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Superhard Refractory High-Entropy Diborides, M. D. Hossain, N. S. Mcilwaine, N. O. Marquez-Rios, A. C. Feltrin, V. Chawla, R. A. Mayanovic, W. G. Fahrenholtz, D. Penumadu, E. Zurek, D. W. Brenner, D. E. Wolfe, S. Divilov, H. Eckert, S. Curtarolo Mar 2026

Superhard Refractory High-Entropy Diborides, M. D. Hossain, N. S. Mcilwaine, N. O. Marquez-Rios, A. C. Feltrin, V. Chawla, R. A. Mayanovic, W. G. Fahrenholtz, D. Penumadu, E. Zurek, D. W. Brenner, D. E. Wolfe, S. Divilov, H. Eckert, S. Curtarolo

Materials Science and Engineering Faculty Research & Creative Works

Using first-principles calculations and companion experimental validations, we demonstrate that the valence electron concentration (VEC) can be used to self-consistently parameterize the bonding characteristics of high-entropy diborides (HEBs) and in turn predict their mechanical properties. When VEC is 10.0 per formula unit (f.u.), HEBs enter the superhard category where Hv>40GPa because bonding states are optimally filled to resist shear deformation. Conversely, above or below a VEC of 10.0, the hardness decreases due to the filling of antibonding or the emptying of bonding states of the HEBs, respectively. This result is supported by analyses of the electronic structure, bonding, antibonding, …

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