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Articles 1711 - 1740 of 115749
Full-Text Articles in Entire DC Network
Gauss Elimination Method For Solving The System Of Neutrosophic Linear Equations, Elsayed Badr, Shokry Nada, Saeed Ali, Aya Rabie
Gauss Elimination Method For Solving The System Of Neutrosophic Linear Equations, Elsayed Badr, Shokry Nada, Saeed Ali, Aya Rabie
Neutrosophic Systems with Applications
This paper proposes a unified computational framework for solving linear systems under trapezoidal Neutrosophic uncertainty. The system is formulated as A( I )x = b( I ), where both the coefficient matrix and the right-hand side vector incorporate an indeterminacy parameter I, expressed as A( I ) = A0 + IA1 and b( I ) = b0 + Ib1. A decomposition strategy is developed to separate the model into deterministic and indeterminacy components, yielding a solution of the form x( I ) = x0 + Ix1. The deterministic component is obtained via …
Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput
Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput
Neutrosophic Systems with Applications
Predicting the stock market is never easy because it is influenced by many uncertain and constantly changing factors such as economic conditions, investor behaviour, and global events. Traditional models like the Crisp Markov Chain (CMC) try to predict market movements by using fixed probabilities for different states like bullish, bearish, or stagnant. However, real markets do not behave in such a strict way—they often move gradually between states, which these models fail to capture. To overcome this limitation, this study introduces a Fuzzy Markov Chain (FMC) model, where fuzzy logic is used to handle uncertainty and allow smoother transitions between …
Warming Climate Amplifies Vapor Pressure Deficit Limits On Gross Primary Productivity, Shiqin Xu, Nate G. Mcdowell, Tim R. Mcvicar, Diego G. Miralles, Stephen Sitch, Pablo Sanchez-Martinez, Joshua B. Fisher, Pierre Friedlingstein, Hylke E. Beck, Matthew F. Mccabe
Warming Climate Amplifies Vapor Pressure Deficit Limits On Gross Primary Productivity, Shiqin Xu, Nate G. Mcdowell, Tim R. Mcvicar, Diego G. Miralles, Stephen Sitch, Pablo Sanchez-Martinez, Joshua B. Fisher, Pierre Friedlingstein, Hylke E. Beck, Matthew F. Mccabe
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Ongoing climate warming may profoundly impact terrestrial gross primary productivity (GPP), a key component of the global carbon cycle. However, uncertainty in the relative roles of atmospheric water demand (vapor pressure deficit, VPD) and root-zone soil moisture (SM) limits predictions of drought impacts on GPP. Here, we show that growing-season GPP was more strongly constrained by VPD than SM globally, based on observation-constrained model estimates, satellite retrievals and Dynamic Global Vegetation Model simulations. The importance of VPD increased with higher temperatures and more severe and prolonged droughts. This pattern reflects VPD’s critical role in regulating stomatal conductance and plant hydraulic …
Bibliography Of Religious Faith And The Mathematical Sciences, Calvin Jongsma
Bibliography Of Religious Faith And The Mathematical Sciences, Calvin Jongsma
Faculty Work Comprehensive List
This Bibliography is offered as a helpful resource for anyone who wishes to thoughtfully explore the connections between religious faith and the mathematical sciences. Searching the database for a topic of interest will bring up items with that focus. An entry’s attached PDF (when publicly available) can be opened and read while in the database. Alternatively, each item contains a URL/web link to a location where one can either read the item or retrieve information about how to obtain a copy of it.
An Improved Logarithmic Ratio-Product Type Estimator For Mean Modeling And Estimation Under Neutrosophic Uncertainty, Anchal Yadav, Mukesh Kumar
An Improved Logarithmic Ratio-Product Type Estimator For Mean Modeling And Estimation Under Neutrosophic Uncertainty, Anchal Yadav, Mukesh Kumar
Neutrosophic Systems with Applications
In classical statistics, population mean estimation generally assumes precise and determinate data along with known auxiliary information. However, in real-world situations where observations are imprecise or expressed in interval form, such as temperature variations or financial market data, classical approaches become less effective. To address this limitation, neutrosophic statistics provide a more flexible framework for handling uncertainty and indeterminacy. This study proposes a neutrosophic logarithmic ratio-product type estimator for estimating the finite population mean using auxiliary information. The bias and mean squared error (MSE) of the proposed estimator are derived using a first-order approximation. Furthermore, performance evaluation is carried out …
Volume 12 Full Text, Bjur Staff
Volume 12 Full Text, Bjur Staff
Butler Journal of Undergraduate Research
No abstract provided.
Exploring Gender As An Analytical Framework In The 2018-2019 Revolution And Ongoing Civil War: The Role Of Gendered Violence And Sudanese Women's Resistance, Ami John
Butler Journal of Undergraduate Research
This paper will interrogate the intersection of gender, war, and political upheaval within Sudan while focusing on the role of women in both the 2019 resistance and the ongoing conflict and revolution. By the end of 2018, mass protests had called for the ousting of Omar al-Bashir, the long-standing Sudanese president. This event set off a chain reaction which led to events that fueled the long-standing rivalry between the two militant groups that were active in Sudan, the Rapid Support Forces (RSF) and the Sudanese Armed Forces (SAF). The tension caused by this rivalry created unforeseen circumstances for the local …
Wallflowers, Misfits, And Gender Nonconformists: Roller Derby As A Refuge, Kate Clement
Wallflowers, Misfits, And Gender Nonconformists: Roller Derby As A Refuge, Kate Clement
Butler Journal of Undergraduate Research
This article explores how roller derby serves as a unique space for queer women and gender minorities to foster community and build “found families,” engage in activism, and practice self-expression, from its creation in 1935 to the present. This study will outline the unusual historical context that allowed the sport to evolve radically differently from other professional sports, twentieth-century feminine beauty standards and their role within the era’s roller derby, the inclusive nature of its modern bylaws, and the lived experiences of queer roller derby athletes. Utilizing a wide range of primary sources, including oral history interviews of current roller …
Front Matter And Table Of Contents, Bjur Staff
Front Matter And Table Of Contents, Bjur Staff
Butler Journal of Undergraduate Research
No abstract provided.
Automated, Modular, Agentless Adversarial Emulation In Cloud Environments For Higher Education And Student Training, Doc Harley
Senior Honors Theses
Currently, the leading technologies in the market of adversarial emulation are MITRE Caldera, Atomic Red Team by IBM, and multiple proprietary products that come with support packages for different vendors like AttackIQ, Cymulate, SafeBreach, and many more. While it is clear that much work has been done in the broad category of adversarial emulation, when it comes to open source solutions, there are no agentless options with built in automation and modularity that have good support for cloud environments. Agentless adversarial emulation provides a unique advantage in that it can be both simpler and a better representation of the true …
Artificial Intelligence, Synthetic Media, And The Criminal Justice System, Jeffrey J. Jacobs
Artificial Intelligence, Synthetic Media, And The Criminal Justice System, Jeffrey J. Jacobs
Doctoral Dissertations and Projects
Artificial intelligence (AI) technologies continue to evolve at an exponential pace, and their utilization of synthetic media in criminal activity presents both unprecedented opportunities and significant challenges for criminal justice systems. This dissertation explores the intersection of AI-driven synthetic media crime and the U.S. criminal justice system, identifying how such technologies are being utilized in criminal activity and evaluating the system’s capacity to adapt. This study uses a longitudinal, mixed-methods research design; it also collects and analyzes data from law enforcement agencies, AI developers, and cybersecurity experts to forecast future crime trends and assess the efficacy of current justice system …
A Deep Learning-Based Approach For Bot Detection In Trending Hashtags On X, Mehboob Hussain, Muhammad Rizwan Rashid Rana, Muhammad Imran, Muhammad Shoaib, Muhammad Hasaan Mujtaba
A Deep Learning-Based Approach For Bot Detection In Trending Hashtags On X, Mehboob Hussain, Muhammad Rizwan Rashid Rana, Muhammad Imran, Muhammad Shoaib, Muhammad Hasaan Mujtaba
Makara Journal of Technology
The widespread presence of bots on social media platforms, such as X (formerly Twitter), poses a significant threat to the integrity of online information by facilitating the dissemination of misinformation and manipulating public discourse. This study proposes a robust deep learning-based framework, DeepBot, to detect bot participation in trending hashtags and discussions on X. The approach uses a dataset sourced from Kaggle, comprising user profile metadata, including follower count, tweet frequency, account verification status, and engagement metrics. The data were subjected to comprehensive preprocessing, including noise removal, part-of-speech (POS) tagging, and word embedding using the pre-trained GloVe model. RoBERTa is …
Cooperation And Conflict: Oswald Veblen And Abraham Flexner, Juan Carvajalino, Della Dumbaugh
Cooperation And Conflict: Oswald Veblen And Abraham Flexner, Juan Carvajalino, Della Dumbaugh
Department of Math & Statistics Faculty Publications
In 1929, Caroline Bamberger Fuld and her brother, Louis Bamberger, sold their department stores, Bamberger & Co., at a particularly timely moment. They invested their sizeable fortune in a new academic initiative in America, an institute devoted to research that would go by the name of the Institute for Advanced Study. This paper introduces two colleagues, Abraham Flexner and Oswald Veblen, and explores the cooperation and conflict between them as they worked alongside one another to shape the Institute for Advanced Study and the School of Mathematics within it.
Building Human-Aware Ai: Learning From And Assisting Human Decision-Makers, Saumik Narayanan
Building Human-Aware Ai: Learning From And Assisting Human Decision-Makers, Saumik Narayanan
McKelvey School of Engineering Graduate Student Theses & Dissertations
As artificial intelligence systems become more capable, they are increasingly used not only as standalone problem-solvers, but as systems that learn from and interact with humans. In these settings, success depends not only on the strength of the model in isolation, but also on how well it fits the humans it is trained on or deployed alongside. This dissertation argues that human heterogeneity is a central ingredient in the design of effective human-aware machine learning systems. Rather than treating differences between people as noise to be averaged away, I show that variation in human expertise and preferences can provide useful …
Assessing Hyperlocal And Local Air Quality Through Passive Samplers And Low-Cost Monitors, Yan He
Assessing Hyperlocal And Local Air Quality Through Passive Samplers And Low-Cost Monitors, Yan He
McKelvey School of Engineering Graduate Student Theses & Dissertations
Air pollution is a major environmental health concern and has been associated with respiratory disease, cardiovascular morbidity, metabolic disorders, premature mortality, and additional adverse health outcomes. Air pollution often exhibits substantial variability at fine spatial scales, yet conventional regulatory monitoring networks are too sparse to resolve neighborhood-level exposure gradients that may exist in many urban and rural communities. Hyperlocal differences in pollutant concentrations—driven by local emission sources, land use characteristics, atmospheric chemistry, and meteorological conditions—can lead to systematic differences in long-term exposure among populations living only short distances apart. Improving exposure characterization therefore requires dense monitoring strategies and spatial modeling …
Smart Kitchen: Towards Real-Time Ai Systems For Cognitive Support In Daily Activities, Ruiqi Wang
Smart Kitchen: Towards Real-Time Ai Systems For Cognitive Support In Daily Activities, Ruiqi Wang
McKelvey School of Engineering Graduate Student Theses & Dissertations
The rapid growth of the aging population and the rising prevalence of Subjective Cognitive Decline (SCD) highlight the need for continuous, unobtrusive assessment of functional cognition during everyday activities. Vision-based smart home systems offer a promising pathway for monitoring behavior and supporting independent living. However, enabling real-time cognitive assistance remains challenging. It requires not only accurately interpreting complex human behaviors to detect cognitive errors, but also supporting real-time deployment on resource-constrained edge devices and under dynamic wireless network conditions. This dissertation presents Smart Kitchen, an AI-driven system for real-time cognitive error detection through the monitoring of daily cooking activities. Under …
Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey
Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey
McKelvey School of Engineering Graduate Student Theses & Dissertations
Data visualizations are now a primary medium for public communication, scientific reasoning, and decision-making. By transforming complex data into accessible graphical forms, visualizations are widely assumed to make information comprehensible to broad audiences. Yet the ability to accurately read, interpret, and critically evaluate a visualization, what researchers call visualization literacy, is neither uniform nor universal. It is a learned, multidimensional skill shaped by prior exposure, educational opportunity, and context. While the field has developed standardized instruments to measure visualization literacy, these tools were built under narrow assumptions: participants are typically paid, English-speaking, and recruited from Western online panels. When any …
Research On The Accessibility Elements Of Rural Public Digital Cultural Services Based On Aism-Fmicmac, Lihui Peng, Banruo Gu, Chuang Hong, Xisheng Hu
Research On The Accessibility Elements Of Rural Public Digital Cultural Services Based On Aism-Fmicmac, Lihui Peng, Banruo Gu, Chuang Hong, Xisheng Hu
Journal of Scientific Information Research
[Purpose/significance] A structural analysis of the stratified dependencies among accessibility determinants in rural public digital cultural ecosystems enables identification of pivotal developmental nodes, thereby establishing theoretical foundations for optimizing service delivery mechanisms and achieving spatial equilibrium in digital cultural provision. [Method/process] This study applies grounded theory to conduct a comprehensive coding analysis of policy documents related to China's rural public digital cultural services. Through this process, five dimensions and fifteen sub-components of accessibility are identified. An index system for accessibility factors is then developed using the AISM approach. The identified elements are classified into three hierarchical levels. To further validate …
Drug Risk Knowledge Discovery For Western Medicines Based On Knowledge Graph Link Prediction, Jianxiang Wei, Ma Hengyuan Ma, Yuehong Sun, Wenwen Du, Letian Hu
Drug Risk Knowledge Discovery For Western Medicines Based On Knowledge Graph Link Prediction, Jianxiang Wei, Ma Hengyuan Ma, Yuehong Sun, Wenwen Du, Letian Hu
Journal of Scientific Information Research
[Purpose/significance] The risk information contained in drug instructions is usually incomplete, and some new adverse reactions can only be discovered in actual clinical use. This paper proposes an information organization and knowledge discovery method for pharmacovigilance, in order to timely and accurately identify missing risk knowledge in drug instructions. [Method/process] Drug instructions of 8 152 Western medicines are collected as the research data; On the basis of ontology construction, data annotation, and model training, the UIE model is used to jointly extract entity and relationship triplets from the research data; A new knowledge graph link prediction method CompGCN-RotatE, is proposed, …
Coexistence Of“Emotion”And“Rationality”：Analysis Of The Impact Mechanism Of Frequent Reversal Events On The Evolution Of Online Public Opinion, Liqiang Wang, Xueqi Li, Yixian Wang
Coexistence Of“Emotion”And“Rationality”：Analysis Of The Impact Mechanism Of Frequent Reversal Events On The Evolution Of Online Public Opinion, Liqiang Wang, Xueqi Li, Yixian Wang
Journal of Scientific Information Research
[Purpose/significance] In recent years, frequent reversal events have negatively impacted the online media environment, leading to an increasing number of skeptical voices during the evolution of public opinion.These doubts are no longer merely emotional outbursts but also involve rational understanding of the event's authenticity. This study aims to gain a deeper understanding of this phenomenon and attempts to reveal the impact mechanism of frequent reversal events on the evolution of online public opinion. [Method/process] Through surveys and computer simulation experiments, the study analyzes various elements such as individuals, media environment, and evolution patterns in online public opinion,then according to the …
Ticking Toward Security: Practical Source Authentication For The Precision Time Protocol, Alexander Gebhard
Ticking Toward Security: Practical Source Authentication For The Precision Time Protocol, Alexander Gebhard
Dissertations (1934 -)
The convergence of Information Technology (IT) and Operational Technology (OT) in Industry 4.0 environments has greatly expanded the attack surface of critical infrastructure systems. Legacy industrial protocols originally intended for use only in isolated networks are now exposed across interconnected systems. This interconnectivity enables adversaries to target power grids, manufacturing plants, and other critical systems with increasing sophistication. Although vendors have retroactively introduced security extensions to industrial protocols such as EtherNet/IP and OPC Unified Architecture (OPC UA), the adequacy and practical feasibility of these security measures remain understudied. This dissertation advances the security of industrial protocols through three main contributions. …
Rosenzweig's Elements And Universal History, Martin Zwick
Rosenzweig's Elements And Universal History, Martin Zwick
Complex Systems Faculty Publications and Presentations
This paper uses Rosenzweig’s conception of the three elements of God, World, and Human from The Star of Redemption in a model of universal history. The model also has some relation to Rosenzweig’s geopolitical essay, Globus, which is very different from the meta-historical Star. Based on a systems-theoretic schema of events and processes, the model views human history in terms of three linked processes: a primary process labeled “World” – the origin and development of human society embedded in nature, a secondary process labeled “God” – the origin and development of the Axial religions and philosophies, and a …
Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.
Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Exactly Solving One-Dimensional Models For The Fractional Quantum Hall Effect, Joseph R. Cruise
Exactly Solving One-Dimensional Models For The Fractional Quantum Hall Effect, Joseph R. Cruise
Arts & Sciences Graduate Student Theses and Dissertations
Nearly fifty years after its experimental debut, the quantum hall effect has produced perhaps more unique descriptions than any other subject of condensed matter physics. From topological band theory to non-commutative geometry, topological and conformal field theories, random matrix models and more, each approach captures a subset of the essential features, and compliments the others to produce a beautiful mosaic description. In this thesis, we revisit the fractional quantum hall (FQH) effect from its oldest vantage point, that of the trial wavefunctions and the parent Hamiltonians which stabilize them. Laughlin's observation of the importance of the theory of holomorphic functions …
Isolation, Identification And Antibiotic-Resistance Profiling Of Bacteria Isolated From Mobile Phone Surfaces In Karbala., Kawkab Abdullah Alsaadi, Zahraa Raheem Murshidy, Dhuha Ali Hussein, Sura Abd Ali Kadhim, Kawakib Aboudi Hanoon
Isolation, Identification And Antibiotic-Resistance Profiling Of Bacteria Isolated From Mobile Phone Surfaces In Karbala., Kawkab Abdullah Alsaadi, Zahraa Raheem Murshidy, Dhuha Ali Hussein, Sura Abd Ali Kadhim, Kawakib Aboudi Hanoon
Karbala International Journal of Modern Science
Due to the diverse environments that mobile phones are exposed to via human handling they become reservoirs of microorganisms. The objective of the current study was to determine the level and character of bacterial contamination on mobile phones by identifying bacterial strains, and the degree of antimicrobial susceptibility. A cross-sectional study was conducted from April to July 2025 where phones belonging to 115 individuals were randomly chosen from various departments and units at Kerbala University and swabbed. The VITEK 2 automated system was used to identify bacterial taxa and test for antimicrobial susceptibility, and 50 of the swabs exhibited bacterial …
The Intersection Of Visual Communications, User Experience, & Design Theory: A Case Study With The Dog Spaw, Jessica Miltner
The Intersection Of Visual Communications, User Experience, & Design Theory: A Case Study With The Dog Spaw, Jessica Miltner
Honors Projects
This project explored the intersection of visual communication, user experience, and design theory, focusing on researching design and UX principles and applying them in a real-world case study with The Dog Spaw from Celina, Ohio. The project resulted in a redesigned website that aims to influence user behavior by improving perceptions of trust, professionalism, brand consistency, and ease of use, and by examining how these perceptions, in turn, influence user action.
Developing A Framework To Improve Phishing Response After Detection, Kevin Umba
Developing A Framework To Improve Phishing Response After Detection, Kevin Umba
Master's Theses (2009 -)
Phishing belongs to the most prevalent attack vectors in the cybersecurity industry. Academia, industry, and government resources offer a wealth of information on the subject. However, insights on phishing techniques and remediations are scattered across those sources. Most governmental and academic literature focuses on user awareness, policy guidelines, or phishing training. This leaves the security practitioners underserved. Furthermore, actionable information for security operations is often unstructured or vendor-specific. The goal of the thesis is to provide a preliminary framework to guide security professionals through indicators of compromise and remediation, using a vendor-neutral approach.
Writing As A Process Of Inquiry In Autoethnography For Meaning-Making: Reflections And Some Points For Consideration, Niroj Dahal
Writing As A Process Of Inquiry In Autoethnography For Meaning-Making: Reflections And Some Points For Consideration, Niroj Dahal
The Qualitative Report
This article explores writing as a process of inquiry and meaning-making in the autoethnographic tradition, offering reflections on the recursive, emergent, and dialogical/dialectical nature of writing, along with some points for consideration. Drawing on perspectives from qualitative research and narrative inquiry (Riessman, 2008), I argue that autoethnographic writing serves as a method of inquiry and/or discovery, generating ontological, epistemological, and axiological-driven cultural meaning that functions as a site of reflection, interrogation, and re-storying of lived experiences. This recursive, often messy, and reflexive act allows researchers to excavate, analyze, and interpret their lived experiences. Rather than viewing writing as a final-stage …
Initiatives To Grow New Innovative Talent To Enable Fusion Energy, Peng Zhang, Ranganathan Parthasarathy, Yuqiao Fan, Arnold Lumsdaine, Rinkle Juneja, Yuchen Jiang, Monica Gehrig, Louise Ferris, David Donovan, Firas Akasheh, Olakunle Harrison, Joshua Schlegel, Manish Sharma, Mohammad Habibi, Mohan Rao, Rajni Chahal, Sean Walters, Vola Andrianarijaona
Initiatives To Grow New Innovative Talent To Enable Fusion Energy, Peng Zhang, Ranganathan Parthasarathy, Yuqiao Fan, Arnold Lumsdaine, Rinkle Juneja, Yuchen Jiang, Monica Gehrig, Louise Ferris, David Donovan, Firas Akasheh, Olakunle Harrison, Joshua Schlegel, Manish Sharma, Mohammad Habibi, Mohan Rao, Rajni Chahal, Sean Walters, Vola Andrianarijaona
Achieve
The Initiatives to Grow New Innovate Talent to Enable Fusion Energy (IGNITE Fusion Energy) project was launched under the U.S. Department of Energy’s Reaching a New Energy Sciences Workforce (RENEW) program. This DOE RENEW-funded project is a multi‑institutional program that aims to build the future fusion workforce through mentoring, curriculum development, and innovation bootcamps. IGNITE brings together six academic institutions (Tennessee Tech University, Tennessee State University, Tuskegee University, Southern Adventist University, Missouri University of Science Technology, and University of Tennessee–Knoxville), Oak Ridge National Laboratory (ORNL) as a research and partnership hub, and 11+ private fusion companies for industry input and …
All-Sky Search For Long-Duration Gravitational-Wave Transients In The First Part Of The Fourth Ligo-Virgo-Kagra Observing Run, A. G. Abac, I. Abouelfettouh, F. Acernese, Teviet Creighton, Mario C. Diaz, Raul A. Espinosa, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Miriam Ramos Arevalo, Wenhui Wang
All-Sky Search For Long-Duration Gravitational-Wave Transients In The First Part Of The Fourth Ligo-Virgo-Kagra Observing Run, A. G. Abac, I. Abouelfettouh, F. Acernese, Teviet Creighton, Mario C. Diaz, Raul A. Espinosa, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Miriam Ramos Arevalo, Wenhui Wang
Physics & Astronomy Faculty Publications
We present an all-sky search for long-duration gravitational waves (GWs) from the first part of the LIGO-Virgo-KAGRA fourth observing run (O4), called O4a and comprising data taken between May 24, 2023, and January 16, 2024. The GW signals targeted by this search are the so-called “long-duration” ( ≳1 s) transients expected from a variety of astrophysical processes, including nonaxisymmetric deformations in magnetars or eccentric binary coalescences. We make minimal assumptions on the emitted GW waveforms in terms of morphologies and durations. Overall, our search targets signals with durations of ∼1–1000 s and frequency content in the range 16–2048 Hz. In …