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Co-Designing New Website Ideas In The Age Of Ai, Rami Huu Nguyen Jul 2026

Co-Designing New Website Ideas In The Age Of Ai, Rami Huu Nguyen

Paul English Applied Artificial Intelligence (AI) Institute Publications

This workshop introduced students to the principles of website co-design in the age of artificial intelligence through a collaborative, project-based learning experience. Participants first explored the mission of the Paul English Applied Artificial Intelligence Institute and the instructor's career journey before learning the fundamentals of e-commerce website design. Students were organized into five teams to develop original website concepts in areas including travel, fashion, sports, and gaming. Each team conducted research using search engines and generative AI tools, including ChatGPT, Gemini, Claude, and Perplexity, created website wireframes, and presented their ideas using Canva. The workshop emphasized teamwork, creativity, user-centered design, …


Global Time-Resolved Measurements Of Inlet/Isolator Unstart Induced By Mass Injection, Andrew N. Bustard, Benjamin L. Bemis, Aaron Marques, Matthew J. Zahr, Thomas J. Juliano Jul 2026

Global Time-Resolved Measurements Of Inlet/Isolator Unstart Induced By Mass Injection, Andrew N. Bustard, Benjamin L. Bemis, Aaron Marques, Matthew J. Zahr, Thomas J. Juliano

Publications

The inner surface pressure of an axisymmetric inlet/isolator model was measured using anodized-aluminum pressure-sensitive paint (PSP) viewing through cast acrylic. Temperaturesensitive paint was utilized to correct for the PSP’s temperature sensitivity. The model was tested under Mach 5.7 flow at 𝑹𝒆 = 7.1 ×106 /m under conventional noise conditions. Transverse jet injection with jet-to-inlet mass-flow ratios up to 0.8 was used to induce unstart in the inlet/isolator. Background-oriented schlieren visualization of the inlet shocks was collected simultaneously with the PSP to determine when the inlet unstarted. Computational fluid dynamics results were used to determine off-wall flow structures and quantify approach …


Corrigendum To " Urban Transportation Strategy As Urban Sustainable Indicator Frameworks Study Of Masdar City, Abu Dhabi", Rania Badawy Shokry Jul 2026

Corrigendum To " Urban Transportation Strategy As Urban Sustainable Indicator Frameworks Study Of Masdar City, Abu Dhabi", Rania Badawy Shokry

Mansoura Engineering Journal

No abstract is required for this article.


Straw As A Potential Vegetable Fibre Insulative Infill In Framed Constructions - Material Testing\Tnotereftnote1, Patrick Daly Jul 2026

Straw As A Potential Vegetable Fibre Insulative Infill In Framed Constructions - Material Testing\Tnotereftnote1, Patrick Daly

Journal of Sustainable Construction Materials and Technologies

The construction sector faces increasing pressure to reduce embodied carbon and adopt circular material strategies, with bio-based materials offering a promising pathway. Straw-based insulation, particularly in loose-fill form, has gained traction in Europe, where several products have achieved certification under EAD 040138-01-1201. This study investigates the potential of Irish-processed straw chip as a bio-based insulative infill for framed construction by evaluating its material properties and thermal conductivity–density performance relative to European ETA-certified reference products. A programme of laboratory testing was undertaken on commercially available Irish straw samples, including material characterisation (moisture content, particle morphology, and dust content) and thermal conductivity …


Development And Characterization Of Mycelium-Based Biocomposites From Ganoderma Lucidum Using Spent Yerba Mate And Residual Sunflower Oil For Sustainable Insulation In Construction, Paula V. Alfieri, Guadalupe Canosa Jul 2026

Development And Characterization Of Mycelium-Based Biocomposites From Ganoderma Lucidum Using Spent Yerba Mate And Residual Sunflower Oil For Sustainable Insulation In Construction, Paula V. Alfieri, Guadalupe Canosa

Journal of Sustainable Construction Materials and Technologies

The construction industry urgently requires sustainable alternatives to petroleum-based insulation materials such as expanded polystyrene (EPS) and mineral wool. Mycelium-based biocomposites offer a promising solution by valorizing agricultural waste while delivering competitive thermal and acoustic performance. In this study, developed and characterized biocomposites using Ganoderma lucidum mycelium combined with spent yerba mate and residual sunflower oil (70 g/30 mL), both commonly generated as waste in Argentine institutions. Two formulations were evaluated: high density (HD: 280 ± 5 kg/m³) and low density (LD: 185 ± 5 kg/m³). Samples were cultivated for 90 days at 28 °C and 65% relative humidity and …


Comparative Life Cycle Assessment Of Hemp Walls In Residential Construction In Morocco, Hicham Kaddouri, Rachida Elbarghmi, Firyal Latrache, Marwane Hammouti, Abderrahim Abidouche, Ismael Driouch Jul 2026

Comparative Life Cycle Assessment Of Hemp Walls In Residential Construction In Morocco, Hicham Kaddouri, Rachida Elbarghmi, Firyal Latrache, Marwane Hammouti, Abderrahim Abidouche, Ismael Driouch

Journal of Sustainable Construction Materials and Technologies

This study analyzes the energy and environmental performance of hemp-based wall solutions applied to Moroccan residential buildings by combining dynamic thermal simulation and life cycle assessment (LCA). A reference building is assessed under four representative Moroccan climates (Al Hoceima, Oujda, Marrakech, and Ouarzazate), comparing a conventional wall retrofitted with hemp plaster and a wall incorporating hemp concrete. The results show that hemp concrete significantly reduces annual heating and cooling energy demands by 20–24% depending on the climate, with heating needs decreasing by up to 40% and cooling needs by approximately 15%, particularly in hot and arid regions. The LCA reveals …


Dual-Waste Integration For Geotechnical Improvement: Silica Fume And Eggshell Ash In Kaolin Soil Stabilization, Ng Jun Shen, Muzamir Hasan, Siti Sarah Eliyun, Md. Ikramul Hoque, Mohamad Afiq Jazrin Mohamad Sidek Jul 2026

Dual-Waste Integration For Geotechnical Improvement: Silica Fume And Eggshell Ash In Kaolin Soil Stabilization, Ng Jun Shen, Muzamir Hasan, Siti Sarah Eliyun, Md. Ikramul Hoque, Mohamad Afiq Jazrin Mohamad Sidek

Journal of Sustainable Construction Materials and Technologies

This study reveals the potential substitution of silica fume and eggshell ash in the technique of soil stabilization, varying across distinct proportions in the modification of geotechnical parameters. The untreated kaolinitic soil which has low soil bearing capacity in nature is frequently reflected in its mechanical instability, for instance, soil settlement and extreme compressibility. By associating the industrial and agricultural material, it is potentially to resolve the above-mentioned issues with explicit designs. A number of laboratory approaches have been implemented in the assessment of basic geotechnical properties, including grain size distribution, Atterberg limits, specific gravity, proctor properties, and shear strength …


Sustainable Hydrogel From Biowaste: Synthesis And Characterization Of Pectin And Starch-Based Hydrogels Derived From Fruit Peel, Aneesa Rasheed Anwar, Roudha Sultan Almarri, Munawwar Ali Khan, Pramod Kumbhar Jul 2026

Sustainable Hydrogel From Biowaste: Synthesis And Characterization Of Pectin And Starch-Based Hydrogels Derived From Fruit Peel, Aneesa Rasheed Anwar, Roudha Sultan Almarri, Munawwar Ali Khan, Pramod Kumbhar

All Works

Arid regions such as the United Arab Emirates face persistent challenges in agricultural productivity due to water scarcity, poor soil quality, and the overuse of chemical fertilizers. As a sustainable alternative, biodegradable hydrogels offer promising solutions owing to their high swelling capacity, water retention ability, and controlled release of water and nutrients. This study explored the synthesis and characterization of eco-friendly hydrogels derived from pectin and starch extracted from orange and banana peels, respectively. These biopolymers are cross-linked using calcium and polyvinyl alcohol, forming hydrogels suitable for agricultural applications. The quality of the extracted biopolymers was assessed by analyzing moisture …


Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff Jul 2026

Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff

Faculty Publications

This instructional slide set was developed for the 2026 Molten Salt Electrochemistry Symposium (MoSES) as an introduction and review of fundamental electrochemical concepts and methods used in molten salt systems. The material is intended for students, researchers, and practitioners seeking to better understand and interpret electrochemical measurements in high-temperature molten salts.

Topics include electrochemical thermodynamics, kinetics, mass transfer, electrode potentials, cyclic voltammetry, chronopotentiometry, chronoamperometry, square-wave voltammetry, electrochemical impedance spectroscopy (EIS), and common approaches for analyzing electrochemical data. Emphasis is placed on building physical intuition, understanding underlying assumptions, recognizing common experimental artifacts, and connecting electrochemical signals to real chemical and transport …


Application Of Cost-Effective High-Resolution Remote Sensing To Characterize Flooding In Mountain River Corridors, Ishwar Joshi, Ian Gowing, Brian M. Crookston Jul 2026

Application Of Cost-Effective High-Resolution Remote Sensing To Characterize Flooding In Mountain River Corridors, Ishwar Joshi, Ian Gowing, Brian M. Crookston

Civil and Environmental Engineering Student Research

This study evaluated a cost-effective UAV-based multi-sensor approach for characterizing river corridor conditions during and after moderate floods in two mountain river corridors in Northern Utah, USA: the Logan River and Blacksmith Fork River. These study reaches included urban, rural, and agricultural areas, hydraulic structures and bridges, and fish passage structures. A DJI Matrice 300 UAV was used with two separate payloads: an AgEagle Altum-PT multispectral camera and an R3 Pro V2 two-return LiDAR system. The workflow included UAV flight planning and data collection, post-processing of the multi-spectral and LiDAR sensor data, spatial resolution and accuracy assessment, and interpretation of …


Transmogrifying Coding Into A Social Studies Technology Tool: Using Participatory Design With Engineers And Social Studies Educators To Design Data Visualization Tools For Social Studies Data Literacy Education, Bahare Naimipour, Jessica Zhang, Tamara Shreiner, Mark Guzdial Jul 2026

Transmogrifying Coding Into A Social Studies Technology Tool: Using Participatory Design With Engineers And Social Studies Educators To Design Data Visualization Tools For Social Studies Data Literacy Education, Bahare Naimipour, Jessica Zhang, Tamara Shreiner, Mark Guzdial

Journal of Pre-College Engineering Education Research (J-PEER)

Our work aims to inform, design, and create data visualization tools that are meant to be integrated specifically into social studies classes. In this essay we discuss the use of participatory design methods to learn what social studies teachers (both pre-service and in-service) want in their classrooms and test the usability of real tools with these participants. Through this approach we iteratively engage our users, and they inform the design and development of learning tools for the learning and instruction of social studies data literacy. Using a social construction of technology lens, we describe the scaffolding embedded in our tools …


Understanding Transgender And Gender-Nonconforming Students’ Experiences In Precollege Engineering Education: A Latent Profile Analysis, Jialing Wu, Medha Dalal, Rachel Figard, Adam R. Carberry Jul 2026

Understanding Transgender And Gender-Nonconforming Students’ Experiences In Precollege Engineering Education: A Latent Profile Analysis, Jialing Wu, Medha Dalal, Rachel Figard, Adam R. Carberry

Journal of Pre-College Engineering Education Research (J-PEER)

Promoting gender equity and inclusion in STEM education remains a central priority, yet empirical research inclusive of transgender and gendernonconforming (TGNC) students is limited, particularly in precollege engineering contexts. This study leverages social cognitive career theory (SCCT) to identify latent profiles of students’ engineering-related beliefs while examining how TGNC students are represented across these profiles relative to their cisgender and gender nonreporting peers. The study draws on four years (2019–2023) of repeated cross-sectional survey data from a national precollege engineering initiative involving 75 high schools across 20 US states. Seven SCCT-related constructs were measured and used as part of latent …


Effect Of Solid Particle Size And Density On Incipient Motion In A Turbulent Boundary Layer, Robert Bryan Jul 2026

Effect Of Solid Particle Size And Density On Incipient Motion In A Turbulent Boundary Layer, Robert Bryan

Doctoral Dissertations and Master's Theses

Wind-blown sand and other instances of solid particles mobilized and suspended in gaseous turbulent boundary layers (TBLs) are seen in a wide variety of engineering contexts. An experimental framework was developed to study the incipient particle motion driven by external forcing within a turbulent boundary layer, which is provided by an airfoil section oscillating in the free-steam flow, resulting in a periodic disturbance in the near-wall region through production of synthetic large-scale structures at a fixed frequency. The incoming unsteady carrier-phase eddies were measured with a hot-film sensor upstream of a particle bed, and the particle motion was captured by …


Research On Development Strategy Of China’S High-End Medical Device Industry, Liu Zhihong, Hui Zhu, Wei Wu, Jiani Li, Yingke Xu, Jianxin Zhang Jul 2026

Research On Development Strategy Of China’S High-End Medical Device Industry, Liu Zhihong, Hui Zhu, Wei Wu, Jiani Li, Yingke Xu, Jianxin Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

High-end medical device industry serves as a critical technological foundation for modern healthcare systems and represents an important indicator of a country’s innovation capacity, advanced manufacturing capability, and industrial governance effectiveness. Amid intensifying global technological competition, upgrading healthcare demands, reshaping regulatory regimes and restructuring global supply chains, promoting the high-quality development of the high-end medical device industry has become essential for enhancing indigenous innovation capacity and ensuring industrial security. This study examines international experiences from the United States, Germany, Japan, and other countries in innovation ecosystem development, regulatory review optimization, market payment incentives, participation in international rules, and governance of …


Analyzing Energy Use In 2d & 3d Imaging Systems And Workflows, Michael J. Bennett Jul 2026

Analyzing Energy Use In 2d & 3d Imaging Systems And Workflows, Michael J. Bennett

Published Works

This study examines energy consumption in cultural heritage imaging systems and workflows, addressing a gap in sustainability research that has to date focused primarily on data storage infrastructure estimations. Using Home Assistant edge computing and Z-Wave smart plugs, seven distinct imaging systems were monitored over 203 hours, capturing 55,211 images, and rendering 2,448 objects. Results show an average energy requirement of 11.1 Wh per object, with an annual total of 747 kWh for digitization activities. Findings highlight opportunities to reduce energy demand and improve efficiency, such as automating continuous light shutoff and optimizing postprocessing routines that support institutional sustainability goals …


Perspectives On Promoting Cultivation Of Intelligent Connected Vehicle Industry For Modern Industrial System, Yu Jiang, Yingxiu Zhang, Feng Chen Jul 2026

Perspectives On Promoting Cultivation Of Intelligent Connected Vehicle Industry For Modern Industrial System, Yu Jiang, Yingxiu Zhang, Feng Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Promoting the development of intelligent connected vehicles (ICVs) has strategic significance for China to consolidate and expand its leadership in the new energy vehicle industry, accelerate the construction of a strong country in science and technology as well as transportation, and build a modern industry system with international competitiveness. Starting from the progressiveness and safety characteristics of the modern industrial system, and combining the three key requirements of “strategic guidance”, “innovation driven”, and “risk regulation” in the cultivation of emerging industries, this study reviews the innovation practices of major countries in the world to promote the development of the ICV …


Identifying Failure Behaviors In Stereolithography From Varied Print Orientations, Kevin Veltre Jul 2026

Identifying Failure Behaviors In Stereolithography From Varied Print Orientations, Kevin Veltre

Theses and Dissertations

Stereolithography (SLA) is an additive manufacturing (AM) technique that utilizes photopolymerization to create three-dimensional shapes by strategically printing layers of material. Printing parameters such as layer orientation, print resolution and post cure can affect a specimen’s homogeneity, longevity and mechanical characteristics. Because of this variability, print parameters must be carefully considered when designing products and print processes for desired components, as manufacturers often fail to include all relevant print settings when advertising mechanical properties. For this study, 130 SLA-printed specimens were created with 100-micron print layer thickness and print orientations varying between 0 and 90, including intermediate orientations, to observe …


Innovation-Driven Development Of Advanced Manufacturing Industry Clusters: Trends, Issues, And Implications For 15th Five-Year Plan, Mu Rongping, Jingjing Guo, Yuchen Li, Qiang Li, Ze Feng, Mengyuan Zhu Jul 2026

Innovation-Driven Development Of Advanced Manufacturing Industry Clusters: Trends, Issues, And Implications For 15th Five-Year Plan, Mu Rongping, Jingjing Guo, Yuchen Li, Qiang Li, Ze Feng, Mengyuan Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advanced manufacturing industry clusters have emerged as a key driver of global manufacturing transformation and upgrading, playing an increasingly significant role in technological innovation, industrial collaboration, supply chain resilience, and green, low-carbon development. This study systematically analyzes the innovation development trends of advanced manufacturing clusters worldwide, outlining the strategic layouts, policy measures, and implementation pathways adopted by major countries. Based on a comprehensive review of China’s current development status and prominent challenges in this field, the study proposes targeted policy orientations and recommendations. These policy recommendations include strengthening the innovation capacity of clusters, improving collaborative innovation networks, promoting the integration …


Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, Liu Tao, Zeyu Yang, Zhaohui Dong Jul 2026

Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, Liu Tao, Zeyu Yang, Zhaohui Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Agricultural modernization is an integral component of the national modernization. Toward 2035, China’s agricultural system confronts multiple challenges, including increasing resource and environmental pressures, rapid upgrading of residents’ consumption structure, and in-depth adjustments in the international supply chain pattern. Meanwhile, it also embraces a series of opportunities brought by transformations in agricultural production technologies and models driven by artificial intelligence, biotechnology, and engineering technology. Based on the perspective of national medium and long-term development strategy, this study sorts out the internal constraints, external opportunities, and development drivers faced by China’s agriculture. It explores six major strategic trends—ecological, intelligent, customized, facility-based, …


Building China’S Space Station Intellectual Property Protection System: Strategic Demands, International Rule Competition, And Institutional Pathways, Xiao Youdan, Bing Xiao, Yi Zheng, Xianghui Liu Jul 2026

Building China’S Space Station Intellectual Property Protection System: Strategic Demands, International Rule Competition, And Institutional Pathways, Xiao Youdan, Bing Xiao, Yi Zheng, Xianghui Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As China’s space station transitions into its application and development phase, on-orbit research outputs are entering a period of concentrated yield. The protection of space station intellectual property (IP) has evolved from a theoretical proposition into a pressing institutional demand. For decades, developed economies, notably the United States and European nations, have dominated the development of international space IP rules. Their core approach extends the traditional principle of territoriality through “legal fiction”, establishing jurisdiction based on the “State of registry’s jurisdiction”—that is, treating space objects as extensions of the registering State’s territory, thereby extending the reach of domestic IP law …


Policy Reflections On Promoting Strategic Oriented Basic Research In China: Insights From The U. S. Department Of Energy’S Basic Research Funding System, You Yu, Yun Liu, Wenneng Zhou Jul 2026

Policy Reflections On Promoting Strategic Oriented Basic Research In China: Insights From The U. S. Department Of Energy’S Basic Research Funding System, You Yu, Yun Liu, Wenneng Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Strategy-oriented basic research is a key pathway to driving major original breakthroughs at the frontiers of science, serving national strategic needs, and securing a leading position in global science and technology. It is also a vital pillar for achieving high-level self-reliance and self-strengthening in science and technology and enhancing the capacity for original innovation. Faced with the urgent need to build a science and technology powerhouse and achieve breakthroughs in key core technologies, China has gradually improved its organizational framework for advancing strategy-oriented basic research and has established a solid foundation for policy support and resource allocation. Nevertheless, when measured …


From Resource Mapping To Mechanism Identification: A Lunar Tethered-Satellite Exploration System And China’S Strategic Opportunities, Wei Yong, Zhiping He, Yanchu Yang, Ke Wang, Junqiang Zhu Jul 2026

From Resource Mapping To Mechanism Identification: A Lunar Tethered-Satellite Exploration System And China’S Strategic Opportunities, Wei Yong, Zhiping He, Yanchu Yang, Ke Wang, Junqiang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Lunar exploration is undergoing a paradigm shift from resource mapping to mechanism identification. Key processes, such as the modulation of volatiles by magnetic anomalies and the contribution of Earth wind to surface hydration, require strictly synchronized observations of magnetic-field gradients, particle fluxes, spectrally detected volatiles, and subsurface hydrogen within the same spatiotemporal window. However, a still-unfilled “near-lunar-surface intermediate layer” gap exists between conventional single-spacecraft orbiters and landed rovers: the capability for multi-altitude, multi-parameter, strictly synchronized process observations. A tethered dual-satellite system, consisting of a main satellite and a subsatellite connected by a 5–10 km short tether, naturally provides a dual-altitude …


Community Energy Storage: A Framework For Enhanced Energy Trading And Cost Efficiency, Bassam Al-Hanahi, Aziz Jul 2026

Community Energy Storage: A Framework For Enhanced Energy Trading And Cost Efficiency, Bassam Al-Hanahi, Aziz

Research outputs 2022 to 2026

The integration of renewable energy sources (RES) into modern electricity grids introduces substantial challenges, primarily due to their inherent variability and the critical need for real-time supply-demand balancing. Community Battery Storage system (CBSS) has emerged as an effective strategy to address these challenges, enhancing grid stability and providing localized economic benefits through optimized energy storage and management. This paper presents a novel energy trading framework that prioritizes community welfare by balancing the reduction of user energy costs with CBSS revenue generation. The proposed model employs a multi-objective optimization approach, utilizing the epsilon-constraint method to strike an optimal balance between minimizing …


Fundamental Surface Chemistry And Mechanistic Insights Into The Flotation Of Tellurium-Bearing Pyrite From Sulfide Tailings, Mulenga Chibesa, Fardis Nakhaei, Lana Alagha Jul 2026

Fundamental Surface Chemistry And Mechanistic Insights Into The Flotation Of Tellurium-Bearing Pyrite From Sulfide Tailings, Mulenga Chibesa, Fardis Nakhaei, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Tellurium (Te), a critical element for photovoltaic technologies, commonly occurs as a trace constituent in pyrite, which is typically depressed during copper porphyry flotation process and discarded to tailings. Selective flotation of pyrite offers a promising route to enhance Te production within the copper supply chain, although its recovery is often limited by surface oxidation and hydrophilic passivation. This study establishes a mechanistic framework to improve flotation of Te-bearing pyrite from copper sulfide tailings. Micro flotation tests designed using Box–Behnken response surface methodology revealed significant nonlinear and synergistic effects of pH, potassium amyl xanthate (PAX), methyl isobutyl carbinol (MIBC), and …


Structural Design And Finite Element Analysis Of A 54 Ton Freight Wagon Bolster Test Rig Under Vertical Center Plate Load, Shandy Dwi Prayoga, I Dewa Gede Ary Subagia, I Ketut Adi Atmika, Abdul Rohman Farid, Yunior Lanang Satrio Jul 2026

Structural Design And Finite Element Analysis Of A 54 Ton Freight Wagon Bolster Test Rig Under Vertical Center Plate Load, Shandy Dwi Prayoga, I Dewa Gede Ary Subagia, I Ketut Adi Atmika, Abdul Rohman Farid, Yunior Lanang Satrio

Journal of Mechanical Engineering Science and Technology (JMEST)

Bolster is one of the bogie's components that receives direct loading from the car body and freight movement. One of the problems that occurs in the bolster is permanent deflection during vertical and transversal static loading. Therefore, a static loading test is required to evaluate the structural strength of the bolster. During the static loading test, a rig is required to hold the bolster so that the bolster is in a fixed position. The rig owned by PT. INKA (Persero) showed a plastic deformation at the vertical center plate load (VCP 5.22P). Therefore, a modified design of the rig is …


Provocable Forgiveness In Noisy Brand--Consumer Systems:An Agent-Based Study Of Repeated Interaction, Tahere Ahmadiyan, Hamidreza Navidi, Behbod Keshavarzi Jul 2026

Provocable Forgiveness In Noisy Brand--Consumer Systems:An Agent-Based Study Of Repeated Interaction, Tahere Ahmadiyan, Hamidreza Navidi, Behbod Keshavarzi

Northeast Journal of Complex Systems (NEJCS)

Repeated brand--consumer exchange is often treated as a managerial problem of loyalty, recovery, and trust. It can also be read as a small complex system: many local decisions about cooperation, retaliation, and forgiveness accumulate into market-level selection. This study uses that perspective to examine which relational rules survive when communication is imperfect. Eight canonical Iterated Prisoner's Dilemma strategies are translated into marketing archetypes and evaluated through round-robin tournaments, a six-level noise sweep, proportional-fitness ecological dynamics, and finite-population Moran invasion tests. The tournament leaderboard is calculated without same-strategy self-play, so that reported payoffs reflect inter-archetype competition rather than homogeneous self-coordination. At …


Understanding Structural Risk: Seismic Demand For Low-Fill Slender Fuel Tanks, David Yang, Sam Anderson Jul 2026

Understanding Structural Risk: Seismic Demand For Low-Fill Slender Fuel Tanks, David Yang, Sam Anderson

Civil and Environmental Engineering Faculty Publications and Presentations

Older fuel storage tanks, such as those in Oregon's CEI Hub, present significant seismic vulnerabilities, prompting proposals to limit storage capacity as a transitional risk mitigation measure before more permanent retrofitting actions. However, a critical knowledge gap exists regarding the applicability of standard analysis methods, like API 650, to low-fill conditions. This study utilizes the Veletsos-Yang iterative fluid-tank interaction procedure to evaluate the seismic demand of low-fill slender tanks. The analysis reveals that low-fill slender tanks exhibit slightly longer impulsive periods compared to fully-filled tanks with identical fill-height to radius ratios. Furthermore, the fixed roof mass of a low-fill tank …


Privacy-Preserving Intrusion Detection For The Internet Of Medical Things Using Ensemble And Federated Learning, Theyab Alsolami Jul 2026

Privacy-Preserving Intrusion Detection For The Internet Of Medical Things Using Ensemble And Federated Learning, Theyab Alsolami

Electronic Theses and Dissertations

The rapid proliferation of the Internet of Medical Things (IoMT) has transformed healthcare by enabling continuous monitoring, intelligent diagnostics, and data-driven clinical decision-making. However, this increased connectivity has significantly expanded the attack surface of healthcare systems, exposing sensitive patient data and critical medical devices to cyber threats such as intrusion and data exfiltration attacks. Ensuring both strong security and strict privacy preservation in IoMT environments remains a fundamental and unresolved challenge.

This dissertation investigates the design and evaluation of robust and privacy-preserving intrusion detection systems (IDS) for IoMT networks using advanced machine learning techniques. The research first examines the effectiveness …


Impact Of Asphalt Binder Chemical Composition On The Performance Of Asphalt Mixture., Sagar Parajuli Jul 2026

Impact Of Asphalt Binder Chemical Composition On The Performance Of Asphalt Mixture., Sagar Parajuli

LSU Master's Theses

Asphalt binder is composed of four chemical fractions, namely, saturates, aromatics, resins, and asphaltenes (SARA). Binders with the same performance grade (PG) can exhibit different chemical compositions due to variability in crude oil sources and refining processes. The objective of this study was to evaluate how such chemical variations influence the mechanical performance of asphalt mixtures at high, intermediate and low temperatures.

Eighteen 12.5-mm nominal Maximum Aggregate Size mixtures were designed using two aggregate types (limestone and gravel), and three binder grades (PG 67-22, PG 70-22m and PG 76-22m), each from three different sources with varying chemical fractions. A suite …


Explainable Machine Learning For Biomedical Diagnostics: Optical Imaging And Eeg Signal Analysis, Fozia Rajbdad Jul 2026

Explainable Machine Learning For Biomedical Diagnostics: Optical Imaging And Eeg Signal Analysis, Fozia Rajbdad

LSU Doctoral Dissertations

The growing convenience of complex biomedical data begins new roads for better disease detection and functional identification via artificial intelligence (AI). Nevertheless, conventional analysis methods often rely on basic metrics that drop sensitive biotic differences, and various AI systems are difficult to infer, limiting their clinical reliability and practical use. There is a growing need for explainable, physiologically relevant computational models that can extract key biomarkers from diverse biomedical data sources. This dissertation addresses this problem by obtaining explainable machine learning and deep learning procedures for studying biomedical signals and optical imaging data.

This dissertation is divided into two parts; …