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Articles 10261 - 10290 of 1103056

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Sok: Understanding Zkvm: From Research To Practice, Guomin Yang, Yunbo Yang, Yuejia Cheng, Haibo Tang, Bingsheng Zhang, Kui Ren Jun 2026

Sok: Understanding Zkvm: From Research To Practice, Guomin Yang, Yunbo Yang, Yuejia Cheng, Haibo Tang, Bingsheng Zhang, Kui Ren

Research Collection School Of Computing and Information Systems

Zero-knowledge virtual machine (zkVM) is a powerful infrastructure for proving the correctness of a program execution with a succinct proof, attracting significant interest from researchers, developers, and users. It has been widely used in applications such as blockchain rollups, privacy-preserving machine learning, and off-chain computation. As the field grows, a wide range of zkVMs have been proposed. However, they adopt different choices in instruction formats, trace layouts, and proving backends, which results in a highly heterogeneous design landscape and makes it difficult to understand the relations among these systems.To bridge this gap, we provide a comprehensive study of zkVMs that …

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Vehicle-Based Multi-Services For Future Smart Cities, Hao Sun, Jinhua Zhao, Hai Yang, Shenhao Wang, Hamsa Balakrishnan, Thomas W. Malone, Hai Wang Jun 2026

Vehicle-Based Multi-Services For Future Smart Cities, Hao Sun, Jinhua Zhao, Hai Yang, Shenhao Wang, Hamsa Balakrishnan, Thomas W. Malone, Hai Wang

Research Collection School Of Computing and Information Systems

Vehicles are crucial for sustaining socioeconomic activity and improving quality of life in modern cities by offering diverse services. These include passenger mobility, goods delivery, information acquisition, and acting as mobile servers such as food trucks and mobile lockers. At the same time, they also contribute to traffic congestion and air pollution. This tension fosters the rise of urban resource-conserving and sustainable service solutions. In this article, we introduce the concept of “Vehicle-Based Multi-Services” (VeMuS), in which a single vehicle offers multiple services simultaneously. Drawing on practical use cases, we examine service classification and integration for vehicles and the potential …

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Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang Jun 2026

Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Vision-Language-Action (VLA) models have enabled robots to execute increasingly complex tasks. However, VLA models trained through imitation learning struggle to operate reliably in dynamic environments and often fail under Out-of-Distribution (OOD) conditions. To address this issue, we propose Robot-Conditioned Normalizing Flow(RC-NF), a real-time monitoring model for robotic anomaly detection and intervention that ensures the robot's state and the object's motion trajectory align with the task. RC-NF decouples the processing of task-aware robot and object states within the normalizing flow. It requires only positive samples for unsupervised training and calculates accurate robotic anomaly scores during inference through the …

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How Do Machine Learning Models Change?, Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández Jun 2026

How Do Machine Learning Models Change?, Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández

Research Collection School Of Computing and Information Systems

The proliferation of Machine Learning (ML) models and their open source implementations has transformed AI research and applications. Platforms like Hugging Face (HF) enable this evolving ecosystem, yet a large-scale longitudinal study of how these models change is lacking. This study addresses this gap by analyzing over 680,000 commits from 100,000 models and 2,251 releases from 202 of these models on HF using repository mining and longitudinal methods. We apply an extended ML change taxonomy to classify commits and use Bayesian networks to model temporal patterns in commit and release activities. Our findings show that commit activities align with established …

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Esg Reporting Lifecycle Management With Large Language Models And Ai Agents, Thong Hoang, Mykhailo Klymenko, Xiwei Xu, Shidong Pan, Yi Ding, Xushuo Tang, Zhengyi Yang, Jieke Shi, David Lo Jun 2026

Esg Reporting Lifecycle Management With Large Language Models And Ai Agents, Thong Hoang, Mykhailo Klymenko, Xiwei Xu, Shidong Pan, Yi Ding, Xushuo Tang, Zhengyi Yang, Jieke Shi, David Lo

Research Collection School Of Computing and Information Systems

Environmental, Social, and Governance (ESG) standards have been increasingly adopted by organizations to demonstrate accountability towards ethical, social, and sustainability goals. However, generating ESG reports that align with these standards remains challenging due to unstructured data formats, inconsistent terminology, and complex requirements. Existing ESG lifecycles provide guidance for structuring ESG reports but lack the automation, adaptability, and continuous feedback mechanisms needed to address these challenges. To bridge this gap, we introduce an agentic ESG lifecycle framework that systematically integrates the ESG stages of identification, measurement, reporting, engagement, and improvement. In this framework, multiple AI agents extract ESG information, verify ESG …

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Ai, Medicine, And Social Determinants Of Health Data, Ryan Doyloo, Nicholson Price Jun 2026

Ai, Medicine, And Social Determinants Of Health Data, Ryan Doyloo, Nicholson Price

Articles

This article examines how medical AI systems are incorporating SDoH data and the governance challenges that follow. The authors show that while SDoH integration can enhance clinical workflows and predictive accuracy — potentially improving outcomes for underserved populations — it also introduces acute risks of proxy discrimination, where facially neutral variables replicate protected characteristics. Surveying U.S., EU, and international frameworks, the authors argue that existing regimes lack clear ex ante guidance to distinguish beneficial from harmful uses of SDoH data. In response, they advance post-market monitoring as a pragmatic and scalable pathway: generating real-world, SDoH-stratified evidence that can support enforcement, …

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Feedback Loops: What Am I Missing?, Patrick Barry Jun 2026

Feedback Loops: What Am I Missing?, Patrick Barry

Articles

In May, 2024, The Wall Street Journal published an article titled “For Conversations You Dread, Try a Chatbot.” Here are the opening lines: Many people worry about the outsize role that AI may eventually play in our lives. But what if employing an AI program could actually help us with issues that cause fear and anxiety? We’ve found that it can be a surprisingly effective tool for figuring out how to approach emotionally charged conversations.

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From 5g To 6g: A Survey On Security, Privacy, And Standardization Pathways, Mengmeng Yang, Youyang Qu, Thilina Ranbaduge, Chandra Thapa, Nazatul Haque Sultan, Ming Ding, Hajime Suzuki, Wei Ni, Sharif Abuadbba, David Smith, Paul Tyler, Josef Pieprzyk, Thierry Rakotoarivelo, Xinlong Guan, Sirine Mrabet Jun 2026

From 5g To 6g: A Survey On Security, Privacy, And Standardization Pathways, Mengmeng Yang, Youyang Qu, Thilina Ranbaduge, Chandra Thapa, Nazatul Haque Sultan, Ming Ding, Hajime Suzuki, Wei Ni, Sharif Abuadbba, David Smith, Paul Tyler, Josef Pieprzyk, Thierry Rakotoarivelo, Xinlong Guan, Sirine Mrabet

Research outputs 2022 to 2026

The vision for 6G aims to enhance network capabilities, supporting an intelligent digital ecosystem where artificial intelligence (AI) is a key. However, the expansion of 6G raises critical security and privacy concerns due to the increased integration of IoT devices, edge computing, and AI. This survey provides a comprehensive overview of 6G protocols with a focus on security and privacy, identifying risks that have not been experienced in preceding 5G systems, and presenting mitigation strategies. While many vulnerabilities from earlier generations persist, the introduction of AI/ML introduces novel risks like model inversion and malicious manipulation of AI. Vulnerabilities in emerging …

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Green-Synthesised Nh₂-Mil-101(Cr) Mof–Reinforced Starch Bioplastic Films For Sustainable Food Packaging, Shima Jafarzadeh, Yasaman Esmaeili, Moon Paul, Seyedeh Zahra Haeri, Colin J. Barrow, Mina Dokouhaki, Masoumeh Zargar, Minoo Naebe Jun 2026

Green-Synthesised Nh₂-Mil-101(Cr) Mof–Reinforced Starch Bioplastic Films For Sustainable Food Packaging, Shima Jafarzadeh, Yasaman Esmaeili, Moon Paul, Seyedeh Zahra Haeri, Colin J. Barrow, Mina Dokouhaki, Masoumeh Zargar, Minoo Naebe

Research outputs 2022 to 2026

This study introduces a green, aqueous synthesis approach for NH₂-MIL-101(Cr), avoiding toxic organic solvents while preserving its high crystallinity, porosity (>1000 m2/g), and amino functionality. To develop sustainable packaging materials the synthesized MOF was incorporated into sago starch-based bioplastic films across control 0%, 1%, 3%, and 5% treatments. Nanoparticle characterizations via SEM, TEM, FTIR, XRD, and nitrogen adsorption-desorption isotherms confirmed a porous, crystalline structure (100–300 nm) with a surface area exceeding 1000 m2/g. Film characterizations using SEM, FTIR, color analysis, tensile testing, TGA, and UV-Vis spectroscopy revealed that the 3% treatment offered the best balance, with tensile strength increasing …

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Spatiotemporal Pah Patterns In Size-Fractionated Particles (Pm>10-Pm0.1) From Northern Thailand Biomass Burning Via Sentinel-2, Phakphum Paluang, Watinee Thavorntam, Sarawut Sangkham, Phuchiwan Suriyawong, Hisam Samae, Thaneeya Chetiyanukornkul, Masami Furuuchi, Worradorn Phairuang Jun 2026

Spatiotemporal Pah Patterns In Size-Fractionated Particles (Pm>10-Pm0.1) From Northern Thailand Biomass Burning Via Sentinel-2, Phakphum Paluang, Watinee Thavorntam, Sarawut Sangkham, Phuchiwan Suriyawong, Hisam Samae, Thaneeya Chetiyanukornkul, Masami Furuuchi, Worradorn Phairuang

Research outputs 2022 to 2026

Biomass burning, particularly from forest fires and crop residue burning during the dry season, is a major source of particulate pollution across many Asian countries. However, accurately identifying these emissions remains challenging due to uncertainties in burned area estimation and the limited availability of country-specific emission factors. This study quantified the spatiotemporal distribution of emissions from biomass burning using satellite imagery. Burned areas were classified using a random forest (RF) algorithm implemented on the Google Colaboratory (Colab) platform. The RF model showed strong performance, with a kappa coefficient of 0.85 and an average accuracy of 0.81. Emission estimates for the …

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When A Mass Resignation Becomes A Merger: Rethinking Asset Acquisitions For The Ai Era, Nina Fridman Jun 2026

When A Mass Resignation Becomes A Merger: Rethinking Asset Acquisitions For The Ai Era, Nina Fridman

University of Chicago Law Review

The Microsoft–Inflection AI deal shocked Silicon Valley: Nearly all seventy of Inflection’s employees resigned simultaneously to join Microsoft, which then paid the startup’s shell $650 million. After the mass exodus, Inflection appointed new leadership that switched the company’s direction, while Microsoft assumed the mantle of Inflection’s old mission. The competitive effect was thus nearly identical to that of a traditional acquisition. But relying on their novel deal structure to shield them from regulatory requirements, Microsoft and Inflection barreled ahead without filing a notice of the transaction with regulators. The rest of the industry soon followed suit, with Amazon, Google, and …

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Owning Geothermal Energy, Gabriel Eckstein Jun 2026

Owning Geothermal Energy, Gabriel Eckstein

Faculty Scholarship

Geothermal energy holds vast potential for decarbonizing the U.S. energy system, yet the sector remains significantly underdeveloped, supplying only 0.4% of the nation's electricity. A principal barrier to growth is the fragmented and ambiguous legal landscape currently governing ownership of geothermal resources: thirty-three states lack any clear statutory or common-law framework identifying who owns subsurface thermal energy. This Article examines the physical characteristics of geothermal energy, recent developments in the U.S. geothermal sector, and the principal doctrinal approaches that might govern ownership of subsurface heat, including the ad coelum doctrine, common-pool and open-access frameworks, the rule of capture, and public …

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Jurisdictional Waters, Jamison E. Colburn Jun 2026

Jurisdictional Waters, Jamison E. Colburn

Faculty Scholarship

No abstract provided.

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Nodal Elimination For E3 Hemp Mitigation: A Physics-Informed Graph Theory Approach, Connor A. Lehman, Rush Robinett, Quinnlin R. Lehman, David G. Wilson, Wayne Weaver Jun 2026

Nodal Elimination For E3 Hemp Mitigation: A Physics-Informed Graph Theory Approach, Connor A. Lehman, Rush Robinett, Quinnlin R. Lehman, David G. Wilson, Wayne Weaver

Michigan Tech Publications

This paper presents a comparison of methods to determine the minimum number of placement locations for neutral blocking, global linear quadratic regulator (G-LQR), and local linear quadratic regulator (L-LQR) controllers throughout a power grid to prevent transformer saturation during the onset of an E3 high-altitude electromagnetic pulse (HEMP) disturbance. Different device placement configurations yield different efficacies in E3 HEMP mitigation. The first placement method discussed is a genetic algorithm (GA), which serves as a baseline optimizer test case. The scaling and run time of the GA depend on the complexity of the objective function and often times becomes intractable as …

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Low-Cost Path-Loss Characterization For Underground Mine Tunnels Using Lora Transceivers At 915 Mhz, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza Jun 2026

Low-Cost Path-Loss Characterization For Underground Mine Tunnels Using Lora Transceivers At 915 Mhz, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Accurate path-loss models are essential for planning reliable wireless networks in underground mines, yet existing characterization studies rely on specialized channel sounders and vector network analyzers costing tens of thousands of dollars, placing them beyond the reach of most mine operators. This paper demonstrates that LoRa transceivers costing approximately US $15 per node can serve as a self-contained path-loss measurement instrument, logging the received signal strength indicator (RSSI) and signal-to-noise ratio (SNR) directly to a CSV file over a standard USB serial connection. A measurement campaign conducted at the Missouri S&T Experimental Mine on 31 March 2026 collected 4801 packets …

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Phases And Dynamics Of An Impurity Immersed In One-Dimensional Quantum Droplets, Dimitrios Diplaris, Ilias A. Englezos, Friethjof Theel, Peter Schmelcher, Simeon I. Mistakidis Jun 2026

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

Physics Faculty Research & Creative Works

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

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Inverse Modeling The Geo-Spread Of Covid-19 In Brazil, Cameron Keith Mills Jun 2026

Inverse Modeling The Geo-Spread Of Covid-19 In Brazil, Cameron Keith Mills

ETDs from 2020-2029

In 2021 Fitzgibbon, Morgan, Webb, and Wu used a modified SEIR (susceptible, exposed, infected, and recovered) model to predict how COVID-19 spread through Brazil [12]. For their model, six constant coefficients were used that were fitted, referenced, or assumed. In this thesis, we geo-spatially modify their SEIR model and formulate an inverse problem to recover the now spatial coefficients of the model. We first show there exists a unique solution to the modified model. To solve the inverse problem, we modify an inverse method [17] that focused on minimizing convex functionals. These recovered spatial coefficients can be used with Matlab’s …

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Apples Don't Fall Far, Brianna Lynn Carnley Jun 2026

Apples Don't Fall Far, Brianna Lynn Carnley

ETDs from 2020-2029

Whether we’d like to admit it or not, apples don’t fall very far from the tree. This expression was commonly used in my household growing up. Whenever my mom and I would say the same thing at the same time, my mom and Nana accidentally wore matching outfits to go shopping, or my Nana and I reacted the same exact way to news, “apples don’t fall far” would be said. The three of us have all lived very different lives, but are still extremely similar yet completely different. This creative-nonfiction work explores the generational threads between myself, my mother, and …

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Phosphogypsum-Based Road Materials: A Review Of Practicality, Longevity, And Safety In The United States, Catesby Elisabeth Mallard Jun 2026

Phosphogypsum-Based Road Materials: A Review Of Practicality, Longevity, And Safety In The United States, Catesby Elisabeth Mallard

ETDs from 2020-2029

The development of the phosphate fertilizer industry, while integral to the success of modern-day agriculture, continues to produce staggering amounts of phosphogypsum (PG), an acidic and hazardous waste byproduct concentrated with heavy metals, technologically enhanced naturally occurring materials (TENORM), and other toxic elements. Due to the potentially harmful emission of radon from PG, the United States (US) Environmental Protection Agency (EPA) has regulated the disposal of PG in engineered stacks under the National Emission Standards for Hazardous Air Pollutants (NESHAP) for nearly four decades. However, with roughly five tons of PG produced per single ton of phosphoric acid, and a …

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Agn Storm 2. Xii. Ground-Based Optical Photometry And Lag Measurements Of Mrk 817, John W. Montano, Aaron J. Barth, Keith Horne, Edward M. Cackett, Gisella De Rosa, Y. Homayouni, Erin A. Kara, Gerard A. Kriss, Hermine Landt, Gilvan G. Apolonio, Nahum Arav, Benjamin D. Boizelle, Elena Dalla Bontà, Doron Chelouche, Maryam Dehghanian, Rick Edelson, Gary J. Ferland, Carina Fian, Catalina Sobrino Figaredo, Michael R. Goad, Diego H. Gonzalez-Buitrago, Wei Jian Guo, Chen Hu, Dragana Ilić, Michael D. Joner, Shai Kaspi, Christopher S. Kochanek, Andjelka B. Kovačević, Collin Lewin, Sha Sha Li, Yan Rong Li, Jun Rong Liu Jun 2026

Agn Storm 2. Xii. Ground-Based Optical Photometry And Lag Measurements Of Mrk 817, John W. Montano, Aaron J. Barth, Keith Horne, Edward M. Cackett, Gisella De Rosa, Y. Homayouni, Erin A. Kara, Gerard A. Kriss, Hermine Landt, Gilvan G. Apolonio, Nahum Arav, Benjamin D. Boizelle, Elena Dalla Bontà, Doron Chelouche, Maryam Dehghanian, Rick Edelson, Gary J. Ferland, Carina Fian, Catalina Sobrino Figaredo, Michael R. Goad, Diego H. Gonzalez-Buitrago, Wei Jian Guo, Chen Hu, Dragana Ilić, Michael D. Joner, Shai Kaspi, Christopher S. Kochanek, Andjelka B. Kovačević, Collin Lewin, Sha Sha Li, Yan Rong Li, Jun Rong Liu

Physics and Astronomy Faculty Publications

We present the ground-based imaging campaign and light curves of Markarian 817 as part of the multiwavelength monitoring program AGN STORM 2. Observations were carried out over 1.4 yr in the uBgVriz filters, with a median cadence of 0.4 day in the g band. Reverberation lags are measured using three methods (interpolated cross-correlation function (ICCF), Just Another Vehicle for Estimating Lags In Nuclei, and PyROA) with the Swift UVW2 band (1928 Å) as the reference light curve. The ICCF centroid lags range from 3.0 ± 0.8 days for the u band up to 7.9 ± 1.5 days for z, and …

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Finite Element Analysis Of Post Vs Threaded-Post Glenoid Baseplates In Reverse Total Shoulder Arthroplasty: A Comparative Study, Christopher Morgan Jun 2026

Finite Element Analysis Of Post Vs Threaded-Post Glenoid Baseplates In Reverse Total Shoulder Arthroplasty: A Comparative Study, Christopher Morgan

ETDs from 2020-2029

This study compared a standard‑post baseplate with a threaded‑post baseplate in reverse total shoulder arthroplasty (rTSA) to determine whether threaded central fixation improves micromotion and stress distribution. A finite element model of a left scapula with a commercially available rTSA system was created; the two designs differed only by the central post (standard press‑fit versus threaded). A 756 N physiological load was applied at 60°, 90°, and 120° of abduction. Outcomes included total and directional relative micromotion at the bone–implant interface and von Mises stress in the glenoid and baseplate. Total micromotion remained below the 150 µm osseointegration threshold for …

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Handheld Hyperspectral Imaging Dataset Of Annual Sowthistle And Little Mallow Under Abiotic Stress For Machine Learning, Elijah Brunnengraeber, Tyler Cassidy, Dylan Woodbridge, Arun D. Jani, Arun K. Sharma Jun 2026

Handheld Hyperspectral Imaging Dataset Of Annual Sowthistle And Little Mallow Under Abiotic Stress For Machine Learning, Elijah Brunnengraeber, Tyler Cassidy, Dylan Woodbridge, Arun D. Jani, Arun K. Sharma

Biology, Agriculture and Chemistry Faculty Publications and Presentations

Machine learning has become an increasingly important tool for overcoming agricultural challenges by enabling efficient and consistent classification of crop-related data. Training such supervised models requires high quality labeled datasets. This work presents a dataset consisting of raw and preprocessed hyperspectral imaging (HSI) files capturing reflectance in the visible to near-infrared range (400–1000 nm) from two problematic weed species on California’s Central Coast: annual sowthistle (Sonchus oleraceus) and little mallow (Malva parviflora). Hyperspectral imaging provides rich spectral-spatial data cubes that can support the development of deep learning models and autonomous technology for precision weed management. Plants …

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Glynn S. Lunney, Jr., Glynn S. Lunney Jr. Jun 2026

Glynn S. Lunney, Jr., Glynn S. Lunney Jr.

Faculty CVs

No abstract provided.

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A Hybrid Mechano-Thermal Route To Synthesize Reactive Pozzolans From Clay Minerals: A Case Of Kaolinite, Oluwadamilare Charles Adesina, Bryan K. Aylas-Paredes, Brian R. Cherry, Luciano A. Gobbo, Aditya Kumar, Narayanan Neithalath Jun 2026

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

Materials Science and Engineering Faculty Research & Creative Works

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

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Percepciones, Uso Y Confianza En Ia Generativa Según Género En Estudiantes Universitarios, Elena Rodríguez-Rodríguez, María Moreno Guzmán, Irene Ojeda Fernández, Juan Pablo Hervás-Pérez, Inmaculada Mateos-Aparicio, Alejandra García-Alonso, María Luisa Pérez-Rodríguez, Rocío De La Peña Armada, José Raggio, Beatriz Gómez-Gómez, Araceli Gónzalez-Cortés, Emma Gracia-Lor, Gustavo Moreno-Martín, Ángel Juilio Reviejo-García, Esther Sánchez-Tirado, Jon Sanz Landaluce, Arturo Casado, Marta Sánchez-Paniagua Jun 2026

Percepciones, Uso Y Confianza En Ia Generativa Según Género En Estudiantes Universitarios, Elena Rodríguez-Rodríguez, María Moreno Guzmán, Irene Ojeda Fernández, Juan Pablo Hervás-Pérez, Inmaculada Mateos-Aparicio, Alejandra García-Alonso, María Luisa Pérez-Rodríguez, Rocío De La Peña Armada, José Raggio, Beatriz Gómez-Gómez, Araceli Gónzalez-Cortés, Emma Gracia-Lor, Gustavo Moreno-Martín, Ángel Juilio Reviejo-García, Esther Sánchez-Tirado, Jon Sanz Landaluce, Arturo Casado, Marta Sánchez-Paniagua

GDI. Revista de investigación de Género, Diseño e Innovación

Introducción: La presencia creciente de la inteligencia artificial (IA) en la universidad está transformando el proceso de enseñanza-aprendizaje y la relación del alumnado con la tecnología. Un equipo docente de la Universidad Complutense de Madrid (UCM), la Universidad Rey Juan Carlos (URJC) y la Universidad Camilo José Cela (UCJC) diseñó diversas estrategias para integrar la IA generativa (IAg) como recurso complementario en asignaturas de estudios universitarios oficiales de Grado y Posgrado. Esta iniciativa surge de la necesidad de evaluar la implementación de la IA para mejorar el proceso de enseñanza-aprendizaje y fomentar un uso crítico entre el alumnado de estas …

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2–4 Ghz Reconfigurable Rf Filters, Jason Corn, Roman Junes Jun 2026

2–4 Ghz Reconfigurable Rf Filters, Jason Corn, Roman Junes

Electrical and Computer Engineering Senior Theses

Wireless communication systems employ radio frequency (RF) filters to isolate desired signals while suppressing interference and noise. Conventional RF filters rely on fixed-frequency architectures that restrict system operation in increasingly dynamic communication environments. This project features the design and optimization of a reconfigurable RF filter prototype using coupled microstrip resonators and electronic tuning components. The filter design demonstrates a tunable range of 2−4 GHz. Future design of reconfigurable microstrip architectures must take steps to maintain signal integrity across active elements. Power loss may be mitigated through the selection of higher quality factor components and less lossy prototyping materials.

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Thermodynamic Modeling Of Ph Impacts On Subsurface Microbial Consortia, Jackfin K C Jun 2026

Thermodynamic Modeling Of Ph Impacts On Subsurface Microbial Consortia, Jackfin K C

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Underground hydrogen storage is affected by microbial consumption, and the different minerals present in the subsurface. However, most studies consider either biotic or abiotic factors in isolation and hence, the conditions that drive a self-sustaining storage remain poorly understood. This thesis uses a genome-informed thermodynamic model developed by Kharel et al. (2026) in which pH is the central variable coupling hydrogenotrophic microbial metabolism, inter-species competition, and carbonate mineral buffering. The model includes four hydrogen-consuming species: methanogen (Methanobacterium), acetogen (Acetoanaerobium), aerobic acetate oxidizer (Pseudomonas stutzeri), and sulfate reducer (Nitratidesulfovibrio) by conditioning each organism's …

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Investigation Of Warfarin–Human Serum Albumin Binding By Ultrafast Affinity Extraction Using Single- And Dual-Column Affinity Microcolumn Systems, Samiul Alim Jun 2026

Investigation Of Warfarin–Human Serum Albumin Binding By Ultrafast Affinity Extraction Using Single- And Dual-Column Affinity Microcolumn Systems, Samiul Alim

Department of Chemistry: Dissertations, Theses, and Student Research

This dissertation examined the interaction of warfarin with human serum albumin (HSA) by using affinity chromatography, with particular emphasis on ultrafast affinity extraction (UAE) and affinity microcolumns. HSA affinity supports were prepared by immobilizing HSA onto diol-bonded silica via Schiff base chemistry and used to prepare affinity microcolumns for chromatographic studies under physiological-like conditions at pH 7.4 and 37.0 °C. UAE studies were performed to investigate the effects of residence time, flow rate, and column configuration on the measured apparent free fraction of warfarin and on the calculated apparent binding parameters. The results showed that the measured apparent free fraction …

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Graduates Of The College Of The Holy Cross Naval Rotc Unit 1944-2026, Brendan J. O'Donnell Jun 2026

Graduates Of The College Of The Holy Cross Naval Rotc Unit 1944-2026, Brendan J. O'Donnell

Naval Science Department

In 2016, the O’Callahan Society, in support of the Naval ROTC Unit at the College of the Holy Cross, published a history of the Unit which included statistics on the Navy and Marine Corps officers commissioned through the Unit since 1944. These statistics were largely based on a 2004 annual report submitted by the Unit (on file in the Navy Archives in Washington D. C.) and that report, in turn, built on a previous report that was prepared in 1990. These reports were combined with information from other Unit annual reports in the Navy Archives and from binders prepared by …

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Eliminating Barriers For The Implementation Of Automation In The Mining Industry, Sefiu O. Adewuyi, Kray Luxbacher, Kanagy David, Miller Ben, Miller Hugh, Michael Moats, Savit Mark Jun 2026

Eliminating Barriers For The Implementation Of Automation In The Mining Industry, Sefiu O. Adewuyi, Kray Luxbacher, Kanagy David, Miller Ben, Miller Hugh, Michael Moats, Savit Mark

Materials Science and Engineering Faculty Research & Creative Works

The integration of new technologies into U.S. mining operations is necessary for achieving continuous improvement in worker health and safety, as well as improving operational efficiency, but many have questioned why uptake of autonomy in the U.S. mining industry has been slow compared to other nations. Despite extensive research on mining automation, there remains a critical gap in understanding and systematically identifying the barriers to its adoption within the U.S. mining industry and globally. To quantify these barriers, a workshop model of data collection was employed. A total of 708 invitations were extended to professionals to participate in nine different …

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