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(R2140) Verifying The Proper Efficiency In Multi-Objective Problems, Javad Bavali, Hadi Basirzadeh

Applications and Applied Mathematics: An International Journal (AAM)

Over the past decade, numerous approaches have been put forward to address multi-objective optimization problems-focusing on approximating proper efficient solutions instead of the efficient solutions. These methods are important because, according to Geoffrion’s conjecture, proper non-dominated solutions constitute a dense subset of the non-dominated solution set. In the current study, first, using the definition of Kuhn-Tucker’s proper efficiency, we present a linear subproblem that investigates the proper efficiency of a randomly selected feasible point. Additionally, the relationship between the different types of solutions to this sub-problem and the proper efficient solutions of the main problem has been analyzed. Next, we …

Mathematical Modeling And Simulation Of Wheel Hub Stresses Using Finite Element Analysis In Light Military Trainer Aircraft, Alysson Sousa Rabelo, José Aécio Gomes De Sousa, Feliciano José Ricardo Cangue, Luiz Leroy Thomé Vaughan

Journal of Aviation Technology and Engineering

The landing gear of modern aircraft accounts for approximately 20% of the structural weight and 5% of the total weight. Among its components, the wheel hub endures particularly high loads during landing, often leading to cracks and porosity associated with casting-induced micro-voids in magnesium and aluminum alloys. Over time, cyclic stresses enlarge these voids, converting them into critical stress concentrators. Differences in alloy properties, such as yield strength, fracture toughness, and corrosion resistance, further influence how cracks propagate, underscoring the importance of rigorous manufacturing methods and regular nondestructive inspections. To investigate these vulnerabilities, stress analyses were performed on a military …

Instructions To Authors, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Effect Of Heat Treatments On The Corrosion Resistance Of A Trip Steel And Its Evaluation By Non-Destructive Testing, Karla Ivette Vega-Nava, Ariosto Medina-Flores, Marco Antonio Espinosa-Medina, José Sergio Pacheco-Cedeño, Héctor Guillermo Carreón-Garcidueñas, Francisco Fernando Curiel-López, Jose Jaime Taha-Tijerina

Mechanical Engineering Faculty Publications

The development of advanced high-strength steels (AHSS) for the automotive industry requires optimizing the balance between mechanical properties and durability in aggressive environments. This study investigates the effects of two heat treatment routes on the microstructure and corrosion resistance of a transformation-induced plasticity (TRIP) steel (Fe-0.2C-1.75Mn-0.5Si-1Al). Route A includes a full austenitizing step at 1000 °C prior to intercritical annealing, whereas Route B omits this step and begins directly with intercritical annealing at 800 °C. Microstructural characterization (SEM/XRD), electrochemical assays, and eddy current tests were employed. The results revealed that Route A yields a homogeneous microstructure with 12.7% retained austenite, …

Urban Resilience To Environmental Displacement: Sustainable Design Strategies In Samarra And Najaf, Ghufran Rassam Hade, Khalid Hammood Mudhahe

AUIQ Technical Engineering Science

This research investigates the critical role of urban resilience as a strategic framework to mitigate climate-induced environmental displacement in hot-arid regions, specifically focusing on the historical Iraqi cities of Samarra and Najaf. As global temperatures rise, these cities face intensifying thermal stress and desertification, acting as primary ``push factors'' for involuntary migration. The objective of this study is to evaluate the efficacy of sustainable urban design and traditional planning morphologies in enhancing the adaptive capacity of these urban centers. The methodology employs a Variable-based Digital Spatial Analysis utilizing Landsat 8 TIRS and Sentinel-2 satellite imagery. Through advanced geospatial processing, original …

An Ensemble Learning-Based Approach To Quantify Post-Earthquake Functional Recovery Of A Steel Moment-Resisting Frame Inventory, Mohsen Zaker Esteghamati, Shiva Baddipalli

Civil and Environmental Engineering Faculty Publications

The quest for seismic resiliency requires designing for performance objectives beyond life safety. Functional recovery is an emerging objective often defined as the time required to restore a building’s basic functionality to the pre-event level. Nevertheless, quantifying functional recovery is a complex, computationally intensive process that is challenging to integrate into a standard design workflow. This study develops a machine learning (ML) model to map design and geometric features of steel special moment-resisting frames (SMRFs) to their functional recovery under two hazard levels: design-basis (DBE) and maximum considered (MCE) earthquakes. First, functional recovery time was quantified for an inventory of …

Numerical Evaluation Of Constitutive Soil Models For Cyclic Soil–Structure Interaction In Integral Abutment Bridges, Walaa Sayed Said, Sherif Adel Akl, Abdullah Galaa, Mohamed El-Khouly

HBRC Journal

The accurate representation of backfill soil behaviour is a critical step in Finite Element (FE) analysis of Integral Abutment Bridges (IABs) subjected to thermally induced cyclic loading. This paper focuses on the evaluation and selection of a constitutive model, out of those commonly available in geotechnical FE packages, suitable for this purpose. Hardin–Drnevich (HD), General Quadratic/Hyperbolic Shear (GQHS), Hardening Soil (HS) including its extension to consider the small-strain stiffness (HSS), and the University of British Columbia (UBC) sand model were first assessed through simulating drained cyclic simple shear element tests. The results indicated that the UBC model captured key aspects …

Ion Irradiation Of Microelectromechanical Resonators, Hengky Chandrahalim, David D. Lynes

AFIT Patents

A method of enhancing an electromechanical coupling coefficient of a microelectromechanical (“MEMS”) device. The method includes applying, to a fully fabricated MEMS device, heavy particle ion radiation to the MEMS device at a fluence of at least 1×10¹⁴ cm.⁻². According to other embodiments of the present invention are directed to a bandpass filter comprising a plurality of MEMS devices fabricated in accordance with the methods provided. The MEMS of the plurality are electronically or mechanically coupled.

Visionarium, June 2026, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Law Or Flaw: A Double – Blind Study Comparing Student Comprehension Of Real And Ai Generated Legal Case Briefs, Grant Shostak, Nick Wintz, Melissa A. Petkovsek

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In recent years, the U.S. legal system has seen an increase of legal filings using fictitious court cases or legal propositions generated by artificial intelligence (AI) (Stokel-Walker, 2026). Rules of professional responsibility require that lawyers review filings in which AI was used to ensure their accuracy (Missouri Bar, Office of Legal Ethics Counsel, 2024, Opinion No. 2024‑11) Despite this mandate, filings with fictitious cases and incorrect statements of law are being filed. Besides posing a threat to the parties to an action, such filings may set an unwarranted precedent for future cases. They also tie up court resources searching for …

A Storm-Ai Primer With An Operationally Representative Example, Shiu-Kai Chin, Matthew Clark, Garrett Katz, Jae C. Oh, William Young

Electrical Engineering and Computer Science - All Scholarship

A STORM-AI Primer with an Operationally Representative Example presents the Systems-Theoretic Technical and Operational Risk Management with Artificial Intelligence (STORM-AI) methodology, a transdisciplinary framework for establishing the trustworthiness of mission systems that may incorporate AI components. The core value proposition of STORM-AI is mission assurance—ensuring that mission systems behave with the predictability and proportionality required by senior leadership and demanded by international humanitarian law. STORM-AI achieves this by faithfully preserving commander's intent from high-level mission descriptions down to hardware-level behavioral specifications through a structured sequence of four formally grounded models: a Mission Model, a Protection (Loss Control) Model, a Security …

Calibration And Validation Of An Ogden Material Model For Thermoplastic Polyurethane In 3d-Printed Tensegrity Structures, Caleb C. Swain

Theses and Dissertations

This work is motivated by ongoing efforts within the Smart Materials, Adaptronics, and Shock Laboratory (SMASH Lab) at Brigham Young University (BYU) to develop variable-stiffness, external fixators using 3D-printed tensegrity structures. In the process of designing and evaluating these systems, the need arose to accurately model the nonlinear mechanical behavior of thermoplastic polyurethane (TPU), the primary material used in prototype fabrication. This thesis investigates how accurately a calibrated Ogden material model can predict the nonlinear mechanical response of TPU in 3D-printed tensegrity structures. Experimental data were used to calibrate the parameters of the hyperelastic constitutive model through nonlinear optimization. An …

Analysis On Thermo-Viscous Steady Fluid Motion Over An Impermeable Infinitely Stretched Horizontal Moving Rectangular Surface, P. Krishna, N. Pothanna, K. Spandana

Mansoura Engineering Journal

This study presents analysis on thermo-viscous steady fluid motion over an impermeable infinitely stretched horizontal moving rectangular surface. The numerical results have been found employing R-K method of order 6 shooting techniques developed in Mathematica software ND solve for the flow adaptable equations comprising temperature and velocity. The flow behavior and the impacts of material constraints on the flow region have been analyzed and deliberated taking the help from the generated graphs. The variations of these flow fields have been studied for wide spectrum of physical characteristics which influences the nature of thermo-viscous fluid. The impact of viscosity, constant pressure …

Decarbonizing Electrical Substations: An Integrative Review Of Green Technologies And Sustainable Practices Across The Infrastructure Life Cycle, Sulthan Syah Ali, Mohammed Ali Berawi, Mustika Sari

Smart City

Decarbonization of electrical infrastructure s becoming increasingly important in efforts to meet climate change mitigation targets, particularly in reducing emissions from substations. However, conventional substations continue to release significant quantities of GHG emissions throughout their life cycle As an example, a typical 500 kV substation emits around 150,000 tCO2e from construction to decommissioning. In addition, the development of green substation concepts remains limited, particularly in Indonesia where standardized approaches are not yet established. In response to the need for more sustainable power infrastructure, this study aims to identify, classify, and review all types of green technologies, practices, and innovations that …

Adaptative And Structured Optimization Stockwell Transform For Robust Power-Quality Disturbances Detection, Moudjibatou Afoda, Séna Apeke, Filippo Gatti, Alessio Iovine, Léonce W. Tokam, Guy M. Toche Tchio, Ouro-Djobo S. Sanoussi

Mansoura Engineering Journal

The monitoring of electrical power quality requires advanced analysis techniques capable of accurately detecting and localizing non-stationary disturbances. This work proposes a structured and adaptive optimization of the Stockwell Transform (ST), referred to as Two-Power Optimization (TPO). A multiparametric Gaussian window governed by four parameters (m, p, k, r), is introduced, and a genetic algorithm is applied independently to each signal to optimize these parameters. The optimization process adapts the analysis scale to the local characteristics of the signal while preserving the physical consistency of the window function. Simulation results on synthetic power quality signals demonstrate that the proposed method …

Processing Mechanism And Efficacy Maintenance Strategy Of Ginseng Active Ingredients Based On Spectroscopy Technology, Yang Hantong, Kong Linghui, Jiang Mengmeng, Wang Yingxiu, Li Xiangguo

Food and Machinery

Ginseng, as a medicinal and edible plant, has ginsenosides as its core active components, which are widely applied due to their physiological functions such as antioxidant and anti-inflammatory activities; however, their structures and activities are easily affected by food processing. During processing steps such as cleaning, steaming/boiling, and fermentation, temperature, pH, and microbial enzyme systems alter the types, contents, and stability of active components through reactions such as hydrolysis and oxidation. The intrinsic linkage mechanism of "component transformation-activity-bioavailability" constitutes a core focus and challenge in current research. This study, based on spectroscopic techniques including high-performance liquid chromatography (HPLC), nuclear magnetic …

Modeling Of Tensile Stress-Strain Response For Steel Fiber Reinforced Self-Compacting Concretes, Anıl Niş, Nilufer Özyurt, Turan Özturan

Journal of Sustainable Construction Materials and Technologies

Main aim of the research was to further understand self-compacting concrete reinforced with steel fibers (SFR-SCC) behavior and to contribute modeling of the tensile stress-strain diagrams for the standardization of the fiber reinforced materials for structural utilization. Fiber reinforced materials has not been used without structural rebar because of the absence of stress-strain curve in tension required for the structural design codes. Hence, an inverse analysis (multi-layer model) was further modified for various steel fibers to predict tensile stress-strain behaviour. For this purpose, 5 different mixes; control, reinforced with long fibers with 0.5% and 1%, short fiber with 0.5% and …

Development And Standardization Of Teds Actuator Templates Under Ieee 1451 Framework, Jim Kang

Theses and Dissertations

The IEEE 1451 standard is a family of standards that defines a framework for smart transducers, including both sensors and actuators, to support consistent, interoperable, and cost-effective integration across diverse applications. However, the current IEEE 1451.4 standard templates only define the method for encoding Transducer Electronic Data Sheet (TEDS) information for a broad range of sensor types and applications; they do not address actuator TEDS. Specific types of sensors and actuators are being developed to assess underground environmental conditions in cold regions with widespread permafrost. Evaluating subsurface conditions before construction can help prevent high construction expenses for structures built on …

Modelling And Analysis Of 50 Mwp Solar Pv Integration Into Tanzania’S Transmission Network: A Case Study Of Tagamenda Substation, Iringa Region, Santos Kihwele

Tanzania Journal of Science

While increasing the share of renewable energy in the grid, grid integration studies for the utility solar photovoltaic (PV) plants are vital, given their intermittency and the fact that Tanzania has never had one connected to the grid. This paper presents a 50 MWp grid integration study, including a technical analysis conducted using PSS®E software. The study investigates the grid behaviour during the integration of the 50 MWp solar plant, considering the most suitable technical and economic solutions. The study analysed the load flow under normal conditions, contingency analysis (N-1), short- circuit analysis, and voltage stability assessment. The results show …

Bias Before Generation: Attention-Based Preemptive Fairness Signals In Large Language Models, Aniket Das

Master’s Dissertations

Warning: This paper includes examples of language that may be perceived as inappropriate or offensive. Large language models (LLMs) are known to propagate social biases embedded in their training corpora, producing outputs that disproportionately disadvantage individuals based on sensitive attributes such as gender, religion, race, sexual orientation and nationality. Existing mitigation strategies are either computationally prohibitive, require access to model parameters, or apply corrections only after biased content has already been generated. This work addresses a different question: can the model’s own internal attention dynamics, observed at inference time, serve as a reliable early-warning signal for bias, enabling intervention before …

Literature Landscape Of Government, Academic, And Industry Efforts In Responsible, Secure, And Trustworthy Ai, Jae C. Oh, Shiu-Kai Chin, Garrett Katz, William E. Young, Matt Clark

Electrical Engineering and Computer Science - All Scholarship

This report presents a systematic analysis of 54,628 AI research papers published between 2021 and 2025, examining the extent to which current government, academic, and industry efforts address the trustworthiness requirements of mission-critical AI systems. Papers were classified along two dimensions: organizational tier (from AI model to mission/business pro- cess) using NIST SP 800-39, and systems engineering lifecycle phase using ISO/IEC/IEEE 15288. Classification combined automated LLM-assisted screening with human validation, achieving inter-rater reliability measured by Krippendorff’s α and Gwet’s AC1. Only 16.8% of papers examined addressed any aspect of AI trustworthiness, reliability, or security, and virtually all were concentrated at …

From Aspiration To Obligation: A Contractual Sustainability Framework For The Egyptian Construction Industry, Salma Ali

Theses and Dissertations

The construction industry is responsible for approximately 40% of global energy consumption and 35% of total waste generation, making it one of the most significant contributors to the global sustainability challenge. In Egypt, that challenge takes a specific contractual form. Egypt’s construction sector contributes approximately 23% of national energy consumption, yet the survey findings reveal that 63.5% of construction professionals report that sustainability clauses rarely or never appear in contracts, and only 11.5% confirm the presence of enforceable provisions with measurable targets. This gap is structural rather than attitudinal. Competitive procurement penalises voluntary sustainability investment, and without contractual obligation, awareness …

Engineering Nanoelectrocatalytic Systems For Co2 And Nitrate Conversion Into Value-Added Chemicals, Abdelrahman Mohamed Abdelmohsen

Theses and Dissertations

The thesis addresses two major related environmental crises: nitrate pollution of water systems and the ever-increasing levels of atmospheric carbon dioxide. Both challenges are closely linked to anthropogenic disturbance of nitrogen and carbon cycles and require sustainable, energy efficient mitigation techniques. In this study, we investigate electrochemical conversion routes as a unified approach to convert these pollutants into value-added compounds: ammonia (NH3) via nitrate reduction (NO3-RR) and ethylene (C2H4) via carbon dioxide reduction (CO2RR). The first half of this work deals with the design and engineering of Cu-Zn alloy electrocatalysts for efficient NO3-RR. Tuning the alloy composition and surface nanostructure …

Evaluating The Impact Of Early Contractor Involvement On Enhancing The Performance Of Construction Projects In Egypt, Samah Saleh Abdelraof, Ayman Ahmed Ezzat Othman, Lamees Mostafa Ahmed

Mansoura Engineering Journal

The construction industry constitutes a critical pillar of Egypt’s national economic growth and sustainable development. Despite its strategic importance, the sector continues to face persistent challenges, including chronic cost overruns, schedule delays, and inadequate coordination among stakeholders. These inefficiencies are largely attributed to the dominance of the traditional Design–Bid–Build (DBB) system, which enforces a rigid separation between design and construction, fostering adversarial relationships and project disputes, which highlights the need for alternative procurement approaches. This research investigates the impact of Early Contractor Involvement (ECI) as a collaborative procurement alternative to enhance project performance. Case studies show that ECI improves early-stage …

Fluorescence Cryotomography For Preclinical Validation: Applications In Gene Therapy And Fluorescence-Guided Surgery, Caleb Y. J. Kwon

Dartmouth College Ph.D Dissertations

Fluorescence imaging has become a powerful tool in biomedical research and clinical practice, offering molecular specificity and high sensitivity for visualizing biological processes in real time, However, the successful translation of novel fluorescent probes or medicines from preclinical development to clinical applications requires rigorous validation of their biodistribution and target specificity. Traditional methods for assessing performance, such as bulk excised organ analysis or two-dimensional histology, provide limited information as they cannot capture the complete, organism-wide distribution of these probes or medicines. This thesis aims to improve this analysis pipeline through the application and optimization of fluorescence cryotomography for quantitative, high-resolution …

Constitutional Inferences On Emerging Technologies: Analyzing Government Overreach, The Fourth Amendment, And Democratic Process In The Age Of Artificial Intelligence, Alan To

McNair Research Journal SJSU

The rapid adoption of artificial intelligence (AI) and machine learning (ML)

technologies by federal agencies presents novel constitutional questions that

existing legal doctrine has not yet adequately addressed. This paper

examines the emerging constitutional dimensions of the 2026 conflict

between Anthropic and the Department of Defense (DOD), in which the

Pentagon demanded unrestricted use of Anthropic's AI model Claude for

domestic mass surveillance and autonomous weapons systems, ultimately

designating Anthropic a supply chain risk when the company refused.

Drawing on three salient constitutional frameworks, specifically the Fourth

Amendment doctrine established in Kyllo v. United States (2001) and

Carpenter v. United …

An Integrated Sensor-Fusion Framework For Performance-Based Compensation In Construction, Aly Ayman El-Ashry

Theses and Dissertations

Construction productivity has historically stagnated due to a reliance on subjective labor monitoring and “lagging” performance indicators. This research proposes a novel compensation model with the use of Total Energy Management System (TEMS) to translate labor effort and efficiency into payment incentives with the integration of Internet of Things (IoT) wearables and Statistical Process Control (SPC) charts.

This research addresses the systemic problem of declining construction productivity caused by industry’s inability to objectively quantify human effort. While traditional models rely on post-facto production tallies, a significant research gap exists in real-time physiological labor monitoring. To bridge this, the proposed TEMS …

Bouillean - Ai Recipe Model, George Mouratoff, Hanol Yang, Helen Wang, Sebastian Verbinski

Computer Science and Engineering Senior Theses

AI generated food recipes are the second most desired AI innovation, however relatively few commercial systems exist to fill this niche. This is because while the solution is highly desired, cooking shouldn’t be approached with the same method by most LLMs and standard AIs. The leading models struggle to solve the issue of generating a semantically clear recipe while maintaining memory of the recipe status between steps. This is before we can even attempt to solve the flavor problem.

Cooking represents a unique challenge for AI, since it requires minimal loss in memory alongside already high quality text generation making …

Practical Engineering Design: Hands-On Learning In An Undergraduate Embedded Systems Design Course, Nadieh Moghadam

School of Engineering: Faculty Scholarship

Hands-on engineering design can help bridge the gap between theoretical coursework and real-world engineering practice, particularly during the middle years of undergraduate programs. This paper presents the implementation and outcomes of an open-ended final project in ELEC 310: Embedded Systems Design at the University of San Diego. Student teams designed and prototyped smart environmental monitoring systems using STM32 microcontrollers, selecting sensors and defining system objectives under realistic constraints. Project outcomes were evaluated using prototype demonstrations, team technical reports, and post-project student reflections analyzed through inductive thematic analysis. Reflections and project artifacts suggest that debugging and hardware–software integration functioned as key …

Comparative Analysis Of Leaflet Materials, Stent Materials, And Stent Cell Density For Bileaflet Transcatheter Mitral Valve Design, Joseph Chibuike Nwokeafor, Joshua D. Hofmeister, Breandan B. Yeats, Lakshmi Prasad Dasi, Charanjit S. Rihal, Juan A. Crestanello, Leigh Griffiths, Mohamad A. Alkhouli, Hoda Hatoum

Michigan Tech Publications

Background: The biomechanical performance of bileaflet transcatheter mitral valves (TMVs) depends on complex interactions between leaflet material behavior and stent design. However, the contributions of leaflet materials and constitutive models, stent materials, and stent geometry to valve function and durability remain poorly understood. Methods: A parametric finite element study was conducted using a CAD model of a bileaflet TMV subjected to physiological pressure loading. Five leaflet material models were evaluated: 3 glutaraldehyde-fixed tissues—bovine pericardium (BP; FBP1, FBP2) and porcine pericardium (PP; FPP)—and 2 unfixed tissues—bovine (UBP) and porcine pericardium (UPP). BP was modeled as a linear elastic (FBP1) and Ogden …