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Articles 3571 - 3600 of 291657

Full-Text Articles in Physical Sciences and Mathematics

Analysis Of The Flavonoid Composition Of Honey Using High-Performance Liquid Chromatography, Bryce Phillips Apr 2026

Analysis Of The Flavonoid Composition Of Honey Using High-Performance Liquid Chromatography, Bryce Phillips

Honors Theses

Honey is a naturally occurring substance that has a complex composition including compounds such as flavonoids, that contribute to potential health benefits. Quantitative analysis of flavonoids in honey can be challenging due to their similar structural characteristics, matrix effects, and chromatographic peak separation issues. This study aimed to establish calibration curves for five flavonoids–kaempferol, luteolin, chrysin, myricetin, and quercetin– to estimate their concentrations in five honey samples from varying geographic origins. Liquid-liquid extraction was used to isolate the flavonoids from honey. High Performance Liquid Chromatography was utilized to establish calibration curves and analyze honey samples. The calibration curves assembled demonstrated …

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Re: Comment Letter For Draft Final 2026 Interim Site-Wide Groundwater Monitoring Quality Assurance Project Plan (Dated April 17, 2026), Emma Rott Apr 2026

Re: Comment Letter For Draft Final 2026 Interim Site-Wide Groundwater Monitoring Quality Assurance Project Plan (Dated April 17, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Research Remix: Teams, Tech, And Texts, Jaime Carbajal Apr 2026

Research Remix: Teams, Tech, And Texts, Jaime Carbajal

UNLV Best Teaching Practices Expo

The pedagogical innovation that enhanced student learning in the Research Methodologies in Health Sciences course is described as Integrated Digital Collaborative Inquiry-Based Learning (IDCIBL). The IDCIBL approach leveraged digital tools (lecture videos, podcasts, recorded poster presentations, and Artificial Intelligence (AI) platforms), integrated journal article analysis, utilized research-informed active learning, and included team-based learning activities. The combination of multiple innovative strategies into the IDCIBL model intentionally transforms the educational environment and optimizes the student learning experience, relating to the TLC priority area of teaching and assessments in the age of Gen AI.

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Ai Literacy: An Annotated Oer Bibliography, Houy Yvonne Apr 2026

Ai Literacy: An Annotated Oer Bibliography, Houy Yvonne

UNLV Best Teaching Practices Expo

"Scalable, discipline-agnostic AI literacy instruction can be implemented incrementally without requiring full course redesign in higher education, supporting both technical understanding and critical engagement with the social and ethical dimensions of AI: The curated list of open educational resources (OER) on this poster enable a flexible, modular approach to teaching foundational AI literacy. The annotated list includes self-paced, hands-on projects with complementary educator-guided activities and discussion to support conceptual understanding of machine learning, training data, and algorithmic bias, drawing on OER such as Code.org’s AI curriculum, MIT RAISE’s Day of AI, and the multi-lingual Elements of AI course. Many resources …

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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 Apr 2026

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 …

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Gauss Elimination Method For Solving The System Of Neutrosophic Linear Equations, Elsayed Badr, Shokry Nada, Saeed Ali, Aya Rabie Apr 2026

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 …

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Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput Apr 2026

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 …

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Modeling Agentic Artificial Intelligence Uncertainty In Agriculture Based 6generation: A Hybrid Q-Rung Orthopair Fuzzy Mcdm Methodology, Zekra Sakr, Mona Mohamed Apr 2026

Modeling Agentic Artificial Intelligence Uncertainty In Agriculture Based 6generation: A Hybrid Q-Rung Orthopair Fuzzy Mcdm Methodology, Zekra Sakr, Mona Mohamed

Neutrosophic Systems with Applications

In era of advanced intelligent revolutions, the collaboration between intelligent technologies became imperative. For instance, integrating 6G communications with agentic artificial intelligence considered a catalyst to shift agriculture sector into optimized and intelligence sector. This integration resulted in transitioning the sector from static automation to autonomous, agent-based ecosystems. Accordingly, the efficiency roles for artificial intelligence agents (AIAs), deploying and selecting optimal AIA is important. Yet, selection process is still difficult because agricultural criteria are multifaceted and there are inherent environmental uncertainties. To address these challenges and bolster the selection process, this paper suggests a hybrid multi-criteria decision-making (MCDM) that bolstered …

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An Improved Logarithmic Ratio-Product Type Estimator For Mean Modeling And Estimation Under Neutrosophic Uncertainty, Anchal Yadav, Mukesh Kumar Apr 2026

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 …

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Enhanced Parametric Approach For Solving Interval-Valued Trapezoidal Neutrosophic Linear Fractional Programming Problems, Hamiden Abd El- Wahed Khalifa H.A.Khalifa, Moodi Abdulrahman Abdullah Al-Rajeh, Sultan S. Alodhaibi Apr 2026

Enhanced Parametric Approach For Solving Interval-Valued Trapezoidal Neutrosophic Linear Fractional Programming Problems, Hamiden Abd El- Wahed Khalifa H.A.Khalifa, Moodi Abdulrahman Abdullah Al-Rajeh, Sultan S. Alodhaibi

Neutrosophic Systems with Applications

Neutrosophic sets (NSs) generalize the classical versions, by providing a flexible framework capable of representing incomplete, inconsistent, and unclassified data that frequently arises in practical decision frameworks. In this study, a linear fractional programming (LFP) problem with uncertain parameters is investigated. All coefficients in the objective function (OF) as well as the left- and right-hand sides of the constraints are represented using fully trapezoidal neutrosophic numbers (NNs). By employing a suitable score function, the proposed neutrosophic LFP model is transformed into an equivalent scalar LFP problem. Subsequently, a parametric solution procedure is established to regulate the neutrosophic optimum solution. This …

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Re: Comment Letter For The Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Bres No. 30 – Atlantic 1 Remedial Action Work Plan (Rawp) (Dated March 24, 2026), Molly Roby Apr 2026

Re: Comment Letter For The Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Bres No. 30 – Atlantic 1 Remedial Action Work Plan (Rawp) (Dated March 24, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Geospatial Assessment Of Agrivoltaic Opportunities And Land Use Requirements In Nigeria, Ifeoluwa Ezekiel Babarinde, Bashir Salisu, Jude A. Benavides, Engil Pereira, Steven M. Grodsky, Rafael M. Almeida Apr 2026

Geospatial Assessment Of Agrivoltaic Opportunities And Land Use Requirements In Nigeria, Ifeoluwa Ezekiel Babarinde, Bashir Salisu, Jude A. Benavides, Engil Pereira, Steven M. Grodsky, Rafael M. Almeida

School of Earth, Environmental, & Marine Sciences Faculty Publications

Agrivoltaics, the co-location of agriculture and solar photovoltaic (PV) infrastructure, can deliver co-benefits like reduced plant drought stress and improved yields of shade-tolerant crops, particularly in water-scarce regions. Despite growing global interest, the technical potential and opportunities for agrivoltaics remain poorly understood in many regions facing both food and energy insecurity, such as sub-Saharan Africa. Here we provide a spatial assessment of agrivoltaic opportunities in Nigeria by integrating cropland distribution, solar resources, and water stress. We find that northern states—where cropland is abundant and water-stressed, solar irradiance is high, and electricity access remains low—offer the greatest potential for agrivoltaic systems …

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Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Joesphine Shaft (Bres No. 37) – Remedial Action Work Plan (Rawp) (Dated March 24, 2026), Molly Roby Apr 2026

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Joesphine Shaft (Bres No. 37) – Remedial Action Work Plan (Rawp) (Dated March 24, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Creating A Unique Hemoglobin-Based Oxygen Carrier, Clayton Fuller Apr 2026

Creating A Unique Hemoglobin-Based Oxygen Carrier, Clayton Fuller

Celebrating Scholarship and Creativity Day (2018-)

The purpose of this thesis is to explain the current state of alternative oxygen carriers and propose a new hemoglobin-based oxygen carrier (HBOC) as a blood substitute/ blood therapeutic. Blood donation has drawbacks: risk of spread of infection, short storage time, and blood typing, and the current shortage. There are several possible modifications for hemoglobin to create a carrier (HBOC) which address specific issues related to allowing free hemoglobin to exist extra cellularly. One issue to address is vasoconstriction caused by nitric oxide scavenging, which has been solved by increasing the molecular weight of the HBOC via (co)polymerization, or by …

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2026 April 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Apr 2026

2026 April 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

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Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Final Unreclaimed Sites Field Sampling Plan (Fsp) Package #7: Ur-01, Ur-12, Ur-03, Ur-04, Ur-15, And Ur-17 Amendment (Dated April 28, 2026), Molly Roby Apr 2026

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Final Unreclaimed Sites Field Sampling Plan (Fsp) Package #7: Ur-01, Ur-12, Ur-03, Ur-04, Ur-15, And Ur-17 Amendment (Dated April 28, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Volume 12 Full Text, Bjur Staff Apr 2026

Volume 12 Full Text, Bjur Staff

Butler Journal of Undergraduate Research

No abstract provided.

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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 Apr 2026

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 …

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Front Matter And Table Of Contents, Bjur Staff Apr 2026

Front Matter And Table Of Contents, Bjur Staff

Butler Journal of Undergraduate Research

No abstract provided.

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Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey Apr 2026

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 …

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Smart Kitchen: Towards Real-Time Ai Systems For Cognitive Support In Daily Activities, Ruiqi Wang Apr 2026

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 …

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Building Human-Aware Ai: Learning From And Assisting Human Decision-Makers, Saumik Narayanan Apr 2026

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 …

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Benefits Of Traffic Reprofiling For Delay Sensitive Networking, Jiaming Qiu Apr 2026

Benefits Of Traffic Reprofiling For Delay Sensitive Networking, Jiaming Qiu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Deterministic networking systems, such as Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet), require strict end-to-end delay guarantees while efficiently utilizing limited network resources. Conventional approaches typically focus on fixed traffic profiles, which can lead to suboptimal resource utilization in scheduling or admission control problems. This dissertation investigates traffic reprofiling—the proactive reshaping of traffic arrival patterns—as a complementary mechanism for improving both resource efficiency and delay performance under strict service guarantees. The dissertation consists of three parts. The first part studies bandwidth minimization under hard delay constraints for Service Curve Earliest Deadline First (SCED) schedulers. We show that traffic reprofiling can …

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Form And Fusion: The Art And Science Of Ceramics And Glass, Juniper J. Bauroth-Sherman, Kaleigh Evans Apr 2026

Form And Fusion: The Art And Science Of Ceramics And Glass, Juniper J. Bauroth-Sherman, Kaleigh Evans

Interdivisional Studies Presentations

The first Ceramics & Art class (IDS-110-F: ST: Ceramics) has completed an immersive, interdisciplinary exploration of stained glass and we’re excited to showcase it now. Through hands-on studio work, experiments, and design projects, we combined artistic expression with the science of glass—learning how physics and chemistry shape everything from color to strength and light interaction. The students have developed practical skills in cutting, grinding, foiling, soldering, and assembling stained-glass pieces, while also experimenting with thermal stress, light transmission, and color chemistry. Glass is now understood as not just as an art form, but as a dynamic material grounded in scientific …

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The Elements Among Us: The Periodic Table Reimagined, Emily Burris Apr 2026

The Elements Among Us: The Periodic Table Reimagined, Emily Burris

Honors Capstones

Students often view chemistry as “too difficult to understand” or “Impossible to connect with”, we believe this is because of inability to bridge the gap between the elemental world and the physical world. This capstone sought out to answer the question “How can we make the Periodic Table easier to visualize and conceptualize”. We did this using common household items that represent each of the elements therefore taking away the negative stigma placed on the subject at hand. This project brings the Periodic Table to life through a hands-on, two and three-dimensional model using everyday objects to represent the individual …

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Assessing Hyperlocal And Local Air Quality Through Passive Samplers And Low-Cost Monitors, Yan He Apr 2026

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 …

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What Do Black Holes Teach Us About Wigner’S Friend?, Emily Adlam Apr 2026

What Do Black Holes Teach Us About Wigner’S Friend?, Emily Adlam

Mathematics, Physics, and Computer Science Faculty Articles and Research

Recently, Hausmann and Renner have pointed out that several famous paradoxes relating to black holes have a similar character to various Extended Wigner’s Friend paradoxes. In this paper I consider what the connection between these things could teach us about the Wigner’s Friend scenarios. I argue that if we take the analogy between these cases seriously, the black hole paradoxes appear to favour a certain class of response to the Wigner’s Friend scenario - specifically, those which posit intrinsic relationality, rather than effective and emergent relationality, and also those which posit some kind of retrocausality.

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Automated, Modular, Agentless Adversarial Emulation In Cloud Environments For Higher Education And Student Training, Doc Harley Apr 2026

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 …

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Lebesgue’S Theory Of Integration: An Introduction To Modern Integration Theory, Nathanael C. Krug Apr 2026

Lebesgue’S Theory Of Integration: An Introduction To Modern Integration Theory, Nathanael C. Krug

Senior Honors Theses

The depth and richness of integration theory far surpasses the introductory material presented in an elementary calculus classroom. The work of Bernhard Riemann and Henri Lebesgue demonstrates just a small sample of the richness of the field of analysis. In formulating and contrasting the Riemann and Lebesgue integrals, students can gain an enriched and well-rounded introduction to integration theory. This not only deepens understanding and love for previously learned material, but also enables further study within the fields of analysis and measure theory. An introductory primer to integration theory equips students with the tools needed to continue their exploration of …

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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 Apr 2026

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 …

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