Digital Commons Network^™

The Pierre Auger Observatory Open Data, M. Zavrtanik, D. Zavrtanik, E. Zas, O. Zapparrata, A. Yushkov, B. Yue, B. Fick, K. Nguyen, D. Nitz, Et Al.

Michigan Tech Publications

The Pierre Auger Collaboration has embraced the concept of open access to their research data since its foundation, with the aim of giving access to the widest possible community. A gradual process of release began as early as 2007 when 1% of the cosmic-ray data was made public, along with 100% of the space-weather information. In February 2021, a portal was released containing 10% of cosmic-ray data collected by the Pierre Auger Observatory from 2004 to 2018, during the first phase of operation of the Observatory. The Open Data Portal includes detailed documentation about the detection and reconstruction procedures, analysis …

Unveiling The Potential Of Generative Artificial Intelligence: A Multidimensional Journey Into The Future, Keng Boon Ooi, Alex Koohang, Eugene Cheng Xi Aw, Tat Huei Cham, Cihan Cobanoglu, Charles Dennis, Yogesh K. Dwivedi, Jun Jie Hew, Heather Linton Kelly, Laurie Hughes, Chieh Yu Lin, Anubhav Mishra, Ian Phau, Ramakrishnan Raman, Marianna Sigala, Yun Chia Tang, Lai Wan Wong, Garry Wei Han Tan

Research outputs 2022 to 2026

Purpose: The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas. Design/methodology/approach: Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare. Findings: The subject …

The Influence Student Behavior Is Having In Today's Schools, Kelsey L. Aureli

Electronic Theses and Dissertations Archive

This study examined teachers’ perceptions and experiences regarding the interrelationships between behavior policy, student behavior, and autonomy-supportive behavior. It approximated the realities experienced by teachers to gain a deeper understanding of the challenges they encountered in implementing behavior policies and fostering autonomy-supportive behavior. While attrition, shortage, and dissatisfaction were not the primary focus, they significantly influenced the teacher participants based on their experiences with high teacher turnover in their schools. I collected qualitative through semi-structured interviews to explore teachers’ realities, using six participants from Memphis Shelby County Schools. By utilizing conflict theory and the ambiguity-conflict matrix adapted from Matland (1997), …

Incorporating Visual Information Into Natural Language Processing, Maxwell Mbabilla Aladago

Dartmouth College Ph.D Dissertations

Natural language describes entities in the world, some real and some abstract. It is also common practice to complement human learning of natural language with visual cues. This is evident in the heavily graphical nature of children’s literature which underscores the importance of visual cues in language acquisition. Similarly, the notion of “visual learners” is well recognized, reflecting the understanding that visual signals such as illustrations, gestures, and depictions effectively supplement language. In machine learning, two primary paradigms have emerged for training systems involving natural language. The first paradigm encompasses setups where pre-training and downstream tasks are exclusively in natural …

Draft Final Phase I Pre-Design Investigation Evaluation Report Blacktail Creek Riparian Actions Butte Priority Soils Operable Unit Of The Silver Bow Creek/Butte Area Superfund Site Silver Bow County, Montana, Hydrogeologic, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exhibit 2 “Basement Iswp” 604 S. Clark St. Butte, Mt 59701 January 24, 2025 Database Residential Identifier: R-01537, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) - Cccs Gym Annex, Christopher Berg, Thomas J. Beckman

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Large Negative Magnetoresistance In The Off-Stoichiometric Topological Semimetal Prsbxte2-X, Gokul Acharya, Krishna Pandey, M. M. Sharma, Jian Wang, Santosh Karki Chhetri, Md Rafique Un Nabi, Dinesh Upreti, Rabindra Basnet, Joshua Sakon, Jin Hu

Physics Faculty Publications and Presentations

Magnetic topological materials LnSbTe (Ln = lanthanide) have attracted intensive attention because of the presence of interplay between magnetism, topological, and electron correlations depending on the choices of magnetic Ln elements. Varying Sb and Te composition is an efficient approach to control structural, magnetic, and electronic properties. Here, we report on the composition-dependent properties in PrSbxTe2-x. We identified the tetragonal-to-orthorhombic structure transitions in this material system and very large negative magnetoresistance in the x = 0.3 composition, which might be ascribed to the coupling between magnetism and transport. Such unusual magnetotransport enables PrSbxTe2-x topological materials as a promising platform for …

Infographic: Who’S Studying Stem?, Andrew Broadley

Teacher infographics

Thinking about your own school context, is there a gender imbalance in STEM-related subjects? How do you encourage girls to consider taking STEM subjects? In this infographic, we look at gender inequality in students entering tertiary education in a STEM field.

Single-Molecule Dna-Flow Stretching Assay As A Versatile Hybrid Tool For Investigating Dna-Protein Interactions, Sadaf Shehzad, Hyeongjun Kim

Physics & Astronomy Faculty Publications

Single-molecule techniques allow researchers to investigate individual molecules and obtain unprecedented details of the heterogeneous nature of biological entities. They play instrumental roles in studying DNA-protein interactions due to the ability to visualize DNA or proteins and to manipulate individual DNA molecules by applying force or torque. Here, we describe single-molecule DNA-flow stretching assays as hybrid tools that combine forces with fluorescence. We also review how widely these assays are utilized in elucidating working mechanisms of DNA-binding proteins. Additionally, we provide a brief explanation of various efforts to prepare DNA substrates with desired internal protein-binding sequences. More complicated needs for …

Image Of Mathematics: A Case Study Of Two Women's Early Mathematics Experiences, Lili Zhou, Elizabeth Suazo-Flores, Bima Sapkota, Rose Mbewe, Jill Newton

School of Mathematical & Statistical Sciences Faculty Publications

People often view mathematics as abstract, cold, and irrelevant to real life, and their school experiences likely influence such views. In this case study, we investigated the mathematics experiences of two women who participated in an afterschool girls-only STEM club 30 years ago when they were in fifth and sixth grades. We explored how the participants' early in- and out-of-school experiences informed their images of mathematics. We collected data through a survey, focus group interviews, and individual interviews. We employed oral history methods in interviews to grant participants a significant degree of freedom to retrospectively recount and reconstruct their experiences. …

Identifying Cyberbullying Roles In Social Media, Manuel Sandoval, Mohammed Abuhamad, Patrick Furman, Mujtaba Nazari, Deborah Hall, Yasin N. Silva

Computer Science: Faculty Publications and Other Works

Social media has revolutionized communication, allowing people worldwide to connect and interact instantly. However, it has also led to increases in cyberbullying, which poses a significant threat to children and adolescents globally, affecting their mental health and well-being. It is critical to accurately detect the roles of individuals involved in cyberbullying incidents to effectively address the issue on a large scale. This study explores the use of machine learning models to detect the roles involved in cyberbullying interactions. After examining the AMiCA dataset and addressing class imbalance issues, we evaluate the performance of various models built with four underlying LLMs …

The Intricate Dance Between Stars And Words: A Review Of Customer Reviews In Tourism

Communications of the IIMA

Travel and tourism industries rely heavily on customer reviews from past travelers as an invaluable source for informing potential travelers’ decisions. Thanks to the internet, reviews are an invaluable source for both quantitative star ratings as well as qualitative text comments that evaluate travel experiences. In this paper we analyse this complex relationship between text comments and their associated star ratings; using existing literature we highlight their interplay to give an overall picture of customer satisfaction. Factors that influence ratings and comments include both intrinsic (service quality, staff behavior) and extrinsic aspects such as location or price. Sentiment analysis through …

Perspectives On A Recently Merged Family Medicine Residency Program: A Post-Match Survey Of Ranked, Unmatched Applicants, John E. Snellings, Karo G. Ohanian, Ismail El Moudden

Eastern Virginia Medical Journal

Introduction: Residency program mergers are a topic of much consternation and relatively little scholarly investigation in graduate medical education. After undergoing a residency merger in July 2020, the newly formed Eastern Virginia Medical School (EVMS) Family Medicine Residency Program investigated the effects of the merger on the perspectives of the applicant pool for the subsequent 2020–2021 recruiting season. Methods: We conducted an anonymous survey of EVMS Family Medicine applicants during the 2020– 2021 recruiting season. Students who interviewed with the residency and were subsequently placed on the program’s National Residency Matching Program (NRMP) rank order list (ROL) but did not …

Supporting Formal Methods For Machine Learning Verification In Urban Air Mobility, Alexandra Davidoff, Juan Couder, Omar Ochoa

Student Research Symposium (SRS)

The development of Urban Air Mobility (UAM) infrastructure has garnered significant attention in recent years. Specifically, researchers have explored using Machine Learning (ML) technology to improve the efficiency and scalability of the UAM ecosystem. However, incorporating ML into safety-critical applications requires increased Verification and Validation (V&V) efforts to ensure safety to human life, an endeavor that is heavily scrutinized but not yet solved in current research. This paper proposes utilizing formal methods to verify ML systems integrated within UAM as a mitigation to safety concerns. We present brief surveys on ML trends within UAM and formal methods trends within UAM. …

Sandpiper Food Search Algorithm: A New Optimization Approach For Agents With Limited Knowledge, Jessica Christa Wira Hadipoernomo

Student Research Symposium (SRS)

Optimization plays a crucial role in refining complex system designs, improving performance, and maximizing efficiency across various applications. Traditional methods like convex optimization and the Newton-Raphson method are often insufficient for today’s increasingly complex challenges. To address this challenge, numerous metaheuristic algorithms, often inspired by nature, have emerged including Particle Swarm Optimization, Genetic Algorithm, Bat Algorithm, and Firefly Algorithm. However, most of these existing algorithms have global knowledge, which is unrealistic for some real-world complex systems such as underground mining and spacecraft trajectory. To bridge this gap, this article develops and presents a new biologically inspired optimization algorithm, the Sandpiper …

An Efficient And Data-Driven Learning Algorithm To Evaluate Facial Recognition, Kaitlyn Cavanaugh, Brady Heddon, Adam Kuzmicki, Kristiyan Stefanov

Student Research Symposium (SRS)

Facial recognition technology plays a crucial role in numerous fields, from national security to social media platforms. Convolutional Neural Networks (CNNs) stand out as the most prevalent technique for facial recognition due to their impressive accuracy and adaptability in various scenarios. However, CNN-based learning faces considerable challenges, including high computational demands, a dependence on large volumes of labeled data, and significant storage requirements, which all impede its overall efficiency.

We aim to implement an innovative and efficient facial recognition approach utilizing structured neural networks grounded in Discrete Cosine Transforms (DCTs), achieving accuracy comparable to conventional CNNs. Our extensive and varied …

Improving Research And Development And Manufacturing Efficiency Of Uncrewed Aerial Systems (Uas) Using Extended Reality (Xr) And Advanced Training Techniques, Arjun Nambiar, Chaitanya Varma, Christopher Daniel Sidor

Student Research Symposium (SRS)

The rapid growth of the Uncrewed Aerial Systems (UAS) industry presents challenges in Research & Development (R&D) and manufacturing, such as inefficiencies, high costs, and extended development timelines. Extended Reality (XR) technologies, including augmented and virtual reality, can improve design visualization, prototype testing, and assembly accuracy, leading to faster development cycles and reduced errors. Simulation-based and virtual reality training methods can also address skill gaps, equipping personnel with the necessary competencies for advanced UAS operations. This study explores the potential of XR and advanced training techniques to address these challenges, aiming to enhance productivity and reduce costs in the UAS …

Big Data As A National Security Issue, Paul B. Stephan Iii

University of Chicago Legal Forum

Modern enhancements of data mining have unfolded in a legal near-vacuum. No extant legal system adequately specifies the property rights in the information elements that make up big data. The miners rely on their technical ability to gather and exploit, without waiting to confirm their entitlement to do so. Innovators have tolerated the legal vacuum because, as a practical matter, most potentially valuable information is accessible. Information by its nature implies a sender and a recipient. This sharing relationship necessarily complicates ownership, in particular the power to exclude. At the same time, the capacities that the mining of big data …

Artificial Intelligence Meets Quantum, Raul Coto Cabrera

Mathematics Colloquium Series

This talk will provide an overview of the ubiquitous field of artificial intelligence, the growing field of quantum computers, and their intersection, quantum machine learning. This new branch harnesses the combined potential of its predecessors to unlock groundbreaking applications. I will briefly introduce the paradigms of AI and fundamental concepts around it. We will discuss algorithms that learn and make decisions based on data, as well as neural networks that are data-free, that is, learned from models.

Literacy As Community: Reviews Of Books For Children And Educators, Leah Van Belle, Julie Baxa, Liz Leitz

Michigan Reading Journal

No abstract provided.

Developing Adolescent Word-Level Knowledge: Challenges And Opportunities In Professional Learning With Secondary Educators, Jenelle Williams

Michigan Reading Journal

This article aims to highlight the research base for disciplinary literacy approaches, emphasize foundational literacy components that apply to the majority of adolescent learners, and propose tangible approaches to attend to morphological development in multiple academic disciplines. The article will conclude with a call for additional research into the role of morphological awareness in strengthening adolescent reading comprehension, as well as further study of the implications for systemic approaches across all disciplines in secondary educational settings.

Deeper Magic: Theology Of The Body In C. S. Lewis And John Paul Ii, George French

Sehnsucht: The C. S. Lewis Journal

C. S. Lewis tells us that science and magic are “twins.” “They were born,” he says “of the same impulse”3 of man to master the natural world. We think of them very differently because science has succeeded where magic has failed, but that should not make us blind to their “strong family likeness.”4 Science and magic are intertwined for much of their history, and it is in the Enlightenment that the two begin to separate. While magic died and science survived, Lewis thinks that modern applied science still retains much of the “family likeness.” Unfortunately, not all of the family …

One Dominant Age: The Technological Singularity In The Abolition Of Man, Christopher Tissell

Sehnsucht: The C. S. Lewis Journal

I doubt whether we are sufficiently attentive to the importance of the third part of C. S. Lewis’s The Abolition of Man. Much ink has been spilled analyzing Lewis’s thoughts on the dangers of subjectivism as outlined in the first two parts of the book, but less so on the endpoint to which Lewis thinks subjectivism leads when whole societies succumb to it. Yet Lewis himself, or at least his editor, thought the final part important enough to name the lecture series after it, and dramatize it in a novel afterward. If Lewis saw the train leaving the station over …

A Method For Generating Final Contract Data And Related Electronic Device, Maersk A/S, Sunil Kumar Chinnamgari, Anshuman Yajnavalkya Pradhan, Niranjan Senthilvasan

Defensive Publications Series

Disclosed is a method, performed by an electronic device, for generating final contract data. The method comprises obtaining initial textual data and initial tabular data. The initial textual data and the initial tabular data are associated with a contract. The initial textual data is in a first primary format. The initial tabular data is in a first secondary format. The method comprises generating, based on the initial textual data, intermediate textual data in a second format. The method comprises generating, based on the obtained initial tabular data, intermediate tabular data in a third format. The method comprises generating, based on …

Secondary Metabolites From Usnea Sp. And An Evaluation Of Their Cytotoxic And Antibacterial Activities, Dewi Meliati Agustini, Riga Riga, Elvira Hermawati, Budi Saputra

Baghdad Science Journal

The genus Usnea was reported to synthesize the bioactive secondary metabolites, including cytotoxic and antibacterial activities. To continue our study on bioactive compounds from Usnea sp, we studied secondary metabolites and their bioactivities of Usnea sp. The aim of this study was to determine the chemical constituents of lichen Usnea sp. Methanol extract of Usnea sp. was prepared by solid liquid extraction followed by fractionation and purification of the crude extract by several chromatographic techniques using n-hexane and ethyl acetate as solvents to obtain two pure compounds (1 and 2). The …

Eco-Friendly Method For Removal Of Some Heavy Metals In Water; Physical And Analytical Study, Khaled Elgendy, Mounir Zaky, Atef Amer, Abdel Nasser Mohammed

Baghdad Science Journal

This study sought to examine the removal of some heavy metal ions from an aqueous media utilizing an adsorbent made from waste materials Cyperus papyrus and nano Cyperus papyrus. Because of their abundance of (OH) groups, Cyperus papyrus biomaterials are promising adsorbents for removing heavy metals. Therefore, this study proposed removing Al, Fe, Pb, and Cd from aqueous solutions using dried Cyperus papyrus. The effectiveness of removal was determined to be in this sequence Fe >Pb> Cd>Al. In another method, some of the cyperus papyrus was converted to nanopowder and used to investigate the elimination of Pb and Cd …

Exploration Of Energy Efficient Location Based Routing Protocols For Wireless Sensor Networks, Huthiafa Q. Qadori, Idris Abubakar Umar, Mohammed Khalaf

Iraqi Journal for Computer Science and Mathematics

Few routing protocols designed for wireless sensor networks (WSN) have been adopted for commercial use in today's technology. This is because when designing the protocols, there is a need to trade-off some features to improve others, but for some designs, these compromises are deemed adamant especially when resources are constrained. An Ideal sensor node is expected to have a small code size capable of coordinating communication activities with the least energy possible. This survey studies some energy-efficient location-based routing protocols that were proposed over the years, with a key interest in factors influencing energy utilization, as it is the most …

Selectivity Effects Of Hydrogen Acceptors And Catalyst Structures In Alcohol Oxidations Using (Cyclopentadienone)Iron Tricarbonyl Compounds, Timothy Funk, Melanie Hempel, Auden Cameron Lampariello, Nicolle Elahian Lopez, Cole Springer, Kimberly Mccaskey, Sneha Jayaram, Kathryn Wnuk-Fink, Bryn Werley

Chemistry Faculty Publications

Oppenauer-type oxidations are catalyzed by air- and moisture-stable, sustainable, (cyclopentadienone)iron carbonyl compounds, but the substrate scope is limited due to the low reduction potential of acetone, which is the most commonly used hydrogen acceptor. We discovered that furfural, an aldehyde derived from cellulosic biomass, is an effective hydrogen acceptor with this class of catalysts. In general, reactions using furfural as the hydrogen acceptor led to higher isolated yields of ketones and aldehydes compared to those using acetone. Importantly, primary benzylic and allylic alcohols─typically a challenging class of alcohols to oxidize with these catalysts─could be oxidized. The selectivity for primary vs …

01. Probability I, Gerhard Müller

Nonequilibrium Statistical Physics (2025)

Part one of course materials for Nonequilibrium Statistical Physics (Physics 626), taught by Gerhard Müller at the University of Rhode Island. The available PDF includes both the lecture notes, additional materials, and exercises without solutions.