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Full-Text Articles in Physical Sciences and Mathematics

Next-Gen Fitness: Ai-Based Diet Plans And Real-Time Exercise Monitoring With Gradient Boosting, Gaussian Mixture Models And Mediapipe, I. Kavitha, B. Vanathi, K. Revathi, K. Sanjaikumar Oct 2026

Next-Gen Fitness: Ai-Based Diet Plans And Real-Time Exercise Monitoring With Gradient Boosting, Gaussian Mixture Models And Mediapipe, I. Kavitha, B. Vanathi, K. Revathi, K. Sanjaikumar

Journal of Informatics and Web Engineering

Global shifts toward sedentary habits and refined dietary choices are magnifying public-health pressures from obesity, metabolic dysregulation, and cardiovascular disease, positioning targeted, personalized fitness coaching tools at the forefront of preventive-care strategy. By embedding tailored nutritional and physical-activity plans into daily life, these tools reinforce adherence, enhance intrinsic motivation, and catalyze sustained wellness achievements—each moderated by real-time analytics, feedback loops, and progressive adaptation to evolving behavior and physiology. Their leading benefits include prolonged engagement, diminished risk of relapse, and deep integration of healthful routines, culminating in lowered lifetime healthcare costs and improved individual life satisfaction. Current machine-learning approaches deliver commendable …

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Calibrated Probabilistic Predictions For Phishing Email Detection Using Sentence-Bert With Machine Learning Models, Oluwasegun Abiodun Abioye, Abraham Evwiekpaefe, Philip Odion Oct 2026

Calibrated Probabilistic Predictions For Phishing Email Detection Using Sentence-Bert With Machine Learning Models, Oluwasegun Abiodun Abioye, Abraham Evwiekpaefe, Philip Odion

Journal of Informatics and Web Engineering

The growing sophistication of phishing attacks requires better detection than classic conventional filters. Previous work has focused on the accuracy, precision and recall of classifiers but there is a lack in testing well-calibrated probability predictions, which are crucial for reliable decision-making using cybersecurity systems. To fill this gap, we present in this work a phishing email detection framework that combines semantically rich Sentence-BERT all-mpnet-base-v2 model embeddings with a wide variety of machine learning classifiers. A total of nine model configurations were tested, including Sentence-BERT combined with GRU, SVM, Random Forest, Logistic Regression, k-Nearest Neighbours, Gaussian Naïve Bayes, Multi-Layer Perceptron, LightGBM …

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Iot Applications In Fire Safety Management: Bibliometric Study On Resilience And Emergency Response, Nur ‘Amirah Mhd Noh, Nor Rima Muhamad Ariff, Ahmad Amru Mohamad Zaid, Rabeah Md Zin Oct 2026

Iot Applications In Fire Safety Management: Bibliometric Study On Resilience And Emergency Response, Nur ‘Amirah Mhd Noh, Nor Rima Muhamad Ariff, Ahmad Amru Mohamad Zaid, Rabeah Md Zin

Journal of Informatics and Web Engineering

In the past few years, the Internet of Things (IoT) has been used more often in fire safety. Simple devices like smoke sensors, alarms, and connected networks are now able to detect signs of fire earlier and send alerts faster. These systems are not perfect, but they do make it easier to react before a small incident becomes serious. This paper reviews how research in this area has developed. The study looked at three main databases—Scopus, Web of Science (WoS), and IEEE Xplore. At first, the searches gave thousands of results, most of which were not directly related to fire …

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Designing A Predictive Expense Tracking Mobile Application: A Comparison Of Random Forest, Linear Regression, And Prophet-Based Models, Li Wei Tai, Li Zhe Poh, Md Ismail Hossen Oct 2026

Designing A Predictive Expense Tracking Mobile Application: A Comparison Of Random Forest, Linear Regression, And Prophet-Based Models, Li Wei Tai, Li Zhe Poh, Md Ismail Hossen

Journal of Informatics and Web Engineering

In today’s fast-paced world, people engage in various forms of daily consumption, yet many lack the habit of tracking their expenses due to low financial awareness. Without proper expense recording and budgeting, individuals often struggle to understand their consumption habits and are at a disadvantage when it comes to financial planning, especially during emergencies. To address these issues, this project proposes the development of a user-friendly expense tracking mobile application designed to help adults build healthy financial habits and utilize predictive algorithms to forecast future expenses. The application enables users to record daily transactions, analyse their spending patterns, plan budgets, …

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Web Accessibility And Search Engine Optimization: Best Approach For Building Corporate Websites, Jeremiah Charles, Khaled Mahbub Oct 2026

Web Accessibility And Search Engine Optimization: Best Approach For Building Corporate Websites, Jeremiah Charles, Khaled Mahbub

Journal of Informatics and Web Engineering

The rapid digitization of products and services necessitates the development of safeguards to enforce equitable access to internet resources. Although legislative measures have been implemented to compel public-sector organizations to provide accessible web and mobile applications, most websites are still not fully accessible. There is an urgent need for organizations to integrate accessibility into current and future developments. The integration of solutions derived from decades of accessibility research into organizational processes and initiatives is beneficial to all users. This study provides a guide for businesses and organizations to improve their web accessibility and Search Engine Optimization (SEO). This research covers …

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Predictive Test Case Prioritization In Agile Workflows: A Machine Learning Approach With Smote-Enn And Pca, Kavinraj Baskaran, Junaidi Abdullah, Sin-Ban Ho, Said Suleiman Naseer Al Harthy, Ian Chai Oct 2026

Predictive Test Case Prioritization In Agile Workflows: A Machine Learning Approach With Smote-Enn And Pca, Kavinraj Baskaran, Junaidi Abdullah, Sin-Ban Ho, Said Suleiman Naseer Al Harthy, Ian Chai

Journal of Informatics and Web Engineering

Test Case Prioritization (TCP) is an essential part of agile software development, allowing for the identification and execution of critical test cases early in the process to maximize fault detection efficiency. Traditional TCP techniques often depend on static metrics, like code complexity and historical pass/fail rates, that do not conform with the dynamic nature of Agile workflows. To overcome this, the proposed research presents a discriminative machine learning-based predictive prioritization model that incorporates historical defect data, execution history, as well as requirement criticality to improve auspiciousness of TCP. The study assesses a range of machine learning models like Logistic Regression, …

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Deep Learning For Skin Cancer Classification Using Data Augmentation And Pre-Trained Cnn Models, Pa Pa Min, Fang Yong Lim, Jashila Nair Mogan, Astie Darmayantie Oct 2026

Deep Learning For Skin Cancer Classification Using Data Augmentation And Pre-Trained Cnn Models, Pa Pa Min, Fang Yong Lim, Jashila Nair Mogan, Astie Darmayantie

Journal of Informatics and Web Engineering

Skin cancer is one of the most common forms of cancer worldwide, and its early detection is critical for effective treatment and improved survival rates. In recent years, advancements in Artificial Intelligence (AI), particularly deep learning, have shown great promise in enhancing the accuracy and efficiency of medical image analysis. This study aims to develop a non-invasive, AI-powered diagnostic system for the early detection and classification of skin cancer using dermoscopic images. The proposed approach leverages deep learning techniques to automatically recognize and differentiate between various types of skin lesions, including both malignant and benign cases. The project focuses on …

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Adaptive And Learned Query Optimization: Techniques, Architectures, And Emerging Trends, Rehab Mohammed Abdelhalim Mokhtar, Palanichamy Naveen Oct 2026

Adaptive And Learned Query Optimization: Techniques, Architectures, And Emerging Trends, Rehab Mohammed Abdelhalim Mokhtar, Palanichamy Naveen

Journal of Informatics and Web Engineering

As databases continue to grow and complexity there is an urgent need to achieve more efficient and faster query processing. This paper presents a technical review of methods that work towards optimization of various types of queries. It progresses by focusing on basic approaches like rules-based optimization and cost-based optimization. Based on this basis, the paper presents a synthesized reference architecture for adaptive and learned query optimizers as a generic framework derived from prior system. It explains on how the classical optimizer components can be enhanced through runtime monitoring integration and feedback mechanisms. From this perspective, it becomes possible to …

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An Intelligent Tourism Recommender System Using Retrieval-Guided Large Language Models, Wei-Jun Lim, Nabhan D. Salih, Hairulnizam Mahdin, Ammar Alazab Oct 2026

An Intelligent Tourism Recommender System Using Retrieval-Guided Large Language Models, Wei-Jun Lim, Nabhan D. Salih, Hairulnizam Mahdin, Ammar Alazab

Journal of Informatics and Web Engineering

Travel planning has become more complex nowadays due to the information overload from numerous online platforms causing travelers to be overwhelmed when selecting destinations, accommodations, and activities that match their preferences and constraints. Traditional tourism recommender systems usually provide static and generic suggestions that fail to match users’ needs and cannot understand natural user language. This research develops and evaluates a Generative AI Chatbot for Tourism Recommendations that use Large Language Models (LLMs) to generate personalized travel itineraries through natural language interaction to solve these limitations. The system can process user natural language inputs including travel origin and destination, trip …

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A Framework For Pre-Pages Generator And Visualiser For Journal Publishing Systems: A Case Study, Karrthik Nadarajan, Jiaheng Lu Oct 2026

A Framework For Pre-Pages Generator And Visualiser For Journal Publishing Systems: A Case Study, Karrthik Nadarajan, Jiaheng Lu

Journal of Informatics and Web Engineering

In the domain of academic publishing, publishers must establish an efficient editorial workflow for managing their publication schedule while producing quality content, as these two processes will ultimately provide a good experience to readers. Many independent publishers utilizing Open Journal Systems (OJS) rely on a manual compilation of "pre-pages" (front matter), including the Issue Cover, the Editorial Board List, and the Table of Contents (TOC), through a manual workflow that is labourintensive and prone to formatting and metadata errors. This study presents a web-based Pre-Pages Generator and Visualiser that automates the pre-publishing process, developed using Python and the Streamlit framework. …

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The Application Of Time Series Forecasting Model For Carbon Emissions Prediction In Electrical Grid: A Step Toward Climate Action, Khim Chen Jason Tan, Keat Soon Tioh, Poh Soon Joseph Ng, Felix Pasila Oct 2026

The Application Of Time Series Forecasting Model For Carbon Emissions Prediction In Electrical Grid: A Step Toward Climate Action, Khim Chen Jason Tan, Keat Soon Tioh, Poh Soon Joseph Ng, Felix Pasila

Journal of Informatics and Web Engineering

This study evaluates the forecasting performance of three models of Autoregressive Integrated Moving Average (ARIMA), Prophet, and Bi-directional Long Short-Term Memory (BiLSTM) in predicting CO₂ emissions from the electricity grid in the United States. Using a real dataset from the California Independent System Operator (CAISO) that records CO₂ emissions at five-minute intervals between 2018 and 2020, the data underwent preprocessing steps including outlier removal, missing value imputation, and feature selection before model training. ARIMA parameters were determined using statistical tests such as ACF, Partial Autocorrelation Function (PACF), and Augmented Dickey Fuller (ADF), while Prophet addressed seasonality and calendar effects. BiLSTM, …

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Intelligent Telemedicine Systems: Machine Learning For Remote Diagnosis And Patient Management, Oras Baker, Kasthuri Subaramaniam, Asiah Lokman Oct 2026

Intelligent Telemedicine Systems: Machine Learning For Remote Diagnosis And Patient Management, Oras Baker, Kasthuri Subaramaniam, Asiah Lokman

Journal of Informatics and Web Engineering

Telemedicine has experienced significant evolution in the past 10 years from a communication-driven health service to an intelligent, data-driven environment driven by AI (artificial intelligence), ML (machine learning), IoMT (Internet of Medical Things) and cloud–edge computing. This development has been further advanced through ongoing global health challenges that have seen an ageing population, rising burden of chronic, multi-morbid conditions, healthcare specialist shortage, soaring cost of healthcare and major disruptions like the COVID-19 pandemic. Modern telehealth services are now integrating more machine learning algorithms for remote diagnosis, real-time monitoring the patient, predictive risk stratification and proactive treatment. This paper offers a …

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Valuation Methods And Their Relevance In Achieving Marine Protected Areas Targets: A Systematic Review, Jacob Ankamah, Stephen Hynes, Daragh O'Leary Oct 2026

Valuation Methods And Their Relevance In Achieving Marine Protected Areas Targets: A Systematic Review, Jacob Ankamah, Stephen Hynes, Daragh O'Leary

Journal of Ocean and Coastal Economics

The prolific human-induced pressures on marine ecosystems leading to negative externalities such as beach erosion, biodiversity loss, and climate change are matters of global concern. Marine protected areas (MPAs) have emerged as a tool to conserve marine biodiversity and support human livelihoods. This paper reviews the global research landscape, the evolution of concepts and the relevance of valuation techniques related to the assessment of the contribution of MPAs to societal welfare. The review indicates that less than 3% of the wider MPA literature explores the economic valuation of MPA designation. Of those, there is an obvious preference for non-market-based methods …

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The Digital Responsibility Index: Quantifying Perceived Multi-Layered Responsibility In Cybersecurity, Mircea Ţălu Oct 2026

The Digital Responsibility Index: Quantifying Perceived Multi-Layered Responsibility In Cybersecurity, Mircea Ţălu

Journal of Cybersecurity Education, Research and Practice

In the evolving digital landscape, cybersecurity responsibility extends beyond technical safeguards to include individual behavior, organizational governance, and societal impact. This study introduces the Digital Responsibility Index (DRI), a novel metric that quantifies multi-layered accountability across four domains: technical, individual, organizational, and societal. Data were collected through scenario-based Likert-scale surveys with 120 cybersecurity professionals, supplemented by semi-structured interviews with senior leaders. Results reveal that while technical and organizational responsibilities are consistently prioritized, individual and societal accountability remain under-recognized. Leadership engagement significantly enhances responsibility scores across all layers. The proposed DRI framework provides a measurable and potentially actionable basis for assessing …

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On Graphs With Chromatic Number And Maximum Degree Both Equal To Nine, Rachel Galindo, Jessica Mcdonald Oct 2026

On Graphs With Chromatic Number And Maximum Degree Both Equal To Nine, Rachel Galindo, Jessica Mcdonald

Theory & Applications of Graphs

An equivalent version of the Borodin-Kostochka Conjecture, due to Cranston and Rabern, says that any graph with $\chi = \Delta = 9$ contains $K_3 \lor E_6$ as a subgraph. Here we prove several results in support of this conjecture, where vertex-criticality and forbidden substructure conditions get us either close or all the way to containing $K_3 \lor E_6$.

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Final 2023 Reclamation Improvement Sites Sampling: Bres No. 31 – Waste Dump #5 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Oct 2026

Final 2023 Reclamation Improvement Sites Sampling: Bres No. 31 – Waste Dump #5 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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How Water Banking Can Help Refill The Great Salt Lake, Avery Truman, Kendall Becker, Matthew Behrens, Sarah Null, Matt Yost, Scott Hotaling Oct 2026

How Water Banking Can Help Refill The Great Salt Lake, Avery Truman, Kendall Becker, Matthew Behrens, Sarah Null, Matt Yost, Scott Hotaling

All Current Publications

Concern about low water levels in the Great Salt Lake has contributed to the development of water markets in Utah. Water markets enable the voluntary transfer of water or water rights from right holders to other people or entities in exchange for compensation. In general, these transfers are more likely to occur if a water rights holder can make more money by selling their water (or water rights) to another user rather than using it themselves. Willingness to engage in water transfers also depends on the ease of transactions, confidence in the water market, and confidence in the ability to …

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Are Lagrangians Involving Fractional Derivatives Physically Viable?, Nicola Fabiano Oct 2026

Are Lagrangians Involving Fractional Derivatives Physically Viable?, Nicola Fabiano

Turkish Journal of Physics

The recent trend of incorporating fractional derivatives into Lagrangians prompts a critical assessment of their physical viability. This work analyzes such theories through the lenses of classical mechanics and quantum field theory (QFT), revealing profound foundational issues. While the nonlocal nature of fractional operators circumvents Ostrogradsky's theorem, it introduces more severe problems. Classically, these include a complicated variational principle and the violation of energy conservation due to broken time-translation symmetry. In QFT, the pathologies are fatal: the propagator violates the K\"all\'en--Lehmann spectral representation, leading to acausal propagation, ghost states, complex poles, and a loss of unitarity. We conclude that Lagrangians …

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Electron-Loss And Electron-Capture Cross Sections In  H + H₂⁺ Collisions, Saed J. Al Atawneh, Oqlah Al-Refai, Mohammed Abu-Seileek, Feras Afaneh Oct 2026

Electron-Loss And Electron-Capture Cross Sections In  H + H₂⁺ Collisions, Saed J. Al Atawneh, Oqlah Al-Refai, Mohammed Abu-Seileek, Feras Afaneh

Turkish Journal of Physics

We investigate projectile electron-loss, target electron-loss, and target electron capture in H + H₂⁺ collisions using classical trajectory Monte Carlo (CTMC) and quantum-corrected classical trajectory Monte Carlo (QCTMC) methods within a fully four-body model. Energy-dependent cross sections are reported for all three channels. For projectile electron-loss, we additionally analyze impact-parameter-dependent probabilities and representative trajectories. The QCTMC method incorporates Heisenberg corrections, improving accuracy at low impact energies. Projectile and target electron-loss cross sections peak at intermediate energies and exhibit good agreement with H + H₂⁺ data at high energies. At low to intermediate energies, projectile electron-loss exceeds target electron-loss because the …

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Nonlinear Mode Crossing And Spontaneous Frequency Comb Generation In Driven Magnetic Nanodisks, Hasan Pi̇şki̇n Oct 2026

Nonlinear Mode Crossing And Spontaneous Frequency Comb Generation In Driven Magnetic Nanodisks, Hasan Pi̇şki̇n

Turkish Journal of Physics

Nonlinear magnetization dynamics in confined nanostructures provide a rich platform for fundamental studies and advanced spintronic applications. Here, we investigate the driven dynamics of a perpendicularly magnetized permalloy nanodisk using high-resolution micromagnetic simulations. In the linear regime, geometric confinement quantizes the uniform precession into discrete radial standing spin-wave (SSW) modes. As the excitation amplitude increases, the fundamental Kittel mode exhibits a pronounced nonlinear frequency shift relative to the higher-order SSW modes, ultimately leading to a critical mode crossing associated with nonlinear resonance overlap and the breakdown of modal orthogonality. Time-domain analysis reveals that strong mode hybridization governs the ensuing dynamics, …

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Microscopic Study Of Β-Decay And Stellar Weak Rates In Neutron-Rich Scandium Isotopes, Wajeeha Khalid, Jameel-Un Nabi, Maria Ramzan Oct 2026

Microscopic Study Of Β-Decay And Stellar Weak Rates In Neutron-Rich Scandium Isotopes, Wajeeha Khalid, Jameel-Un Nabi, Maria Ramzan

Turkish Journal of Physics

This study provides a critical investigation of the β-decay characteristics of neutron-rich scandium isotopes (53-65Sc) using the proton-neutron quasiparticle random phase approximation (pn-QRPA) model. The theoretical framework allows for a microscopic understanding of spin-isospin excitation modes that are essential for examining weak interaction phenomena. Charge-changing Gamow-Teller (GT) strength distributions were calculated and found to agree well with existing experimental results, thereby confirming the model's capacity to accurately represent the nuclear configuration of these isotopes. The computed β-decay half-lives and corresponding log ft values exhibit good agreement with experimental data, further validating the GT strength distributions and reinforcing the consistency of …

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Comparison Of Umbral Dot Physical Properties In Developed And Undeveloped Sunspots, Muhammed Ali̇ Çalişir, Ali̇ Kilçik, Vasyl Yurchyshyn Oct 2026

Comparison Of Umbral Dot Physical Properties In Developed And Undeveloped Sunspots, Muhammed Ali̇ Çalişir, Ali̇ Kilçik, Vasyl Yurchyshyn

Turkish Journal of Physics

Sunspots are cool regions where the magnetic field is significantly stronger than in the surrounding photosphere, and their darkest central regions are known as the umbra. Umbral dots (UDs) are small, bright features within the umbra that represent convective motions partially suppressed by strong magnetic fields. In this study, high-resolution images from the Goode Solar Telescope (GST) at Big Bear Solar Observatory (BBSO) were used to analyze four sunspots at different evolutionary stages, including two developed and two undeveloped sunspots. The physical properties of UDs, including brightness, diameter, eccentricity, lifetime, and dynamic velocity, were measured and compared across these sunspots …

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Stress–Strain Behavior Of The High-Entropy Cantor Alloy Crmnfeconi Using A Deep Neural Network Potential, Nguyen Le Hoai Phuong, Le Huu Nghia, Huynh Khanh Van, Vo Khuong Dien, Nguyen Thanh Tien Oct 2026

Stress–Strain Behavior Of The High-Entropy Cantor Alloy Crmnfeconi Using A Deep Neural Network Potential, Nguyen Le Hoai Phuong, Le Huu Nghia, Huynh Khanh Van, Vo Khuong Dien, Nguyen Thanh Tien

Turkish Journal of Physics

Machine learning interatomic potentials (MLIPs) provide an efficient approach to large-scale molecular dynamics simulations of high-entropy alloys. In this work, an MLIP trained on AIMD data was developed for the CrMnFeCoNi Cantor alloy and validated against DFT calculations. In addition, we compared MLIP results with those obtained using the classical modified embedded atom method (MEAM)-based interatomic potential for the CrMnFeCoNi Cantor alloy. The model achieved energy and force RMSEs of 7.39 x 10-6 meV/atom and 4.46 x 10-3 eV/A, respectively. Tensile simulations demonstrated that the MLIP accurately reproduced the stress–strain response, elastic constants, and deformation mechanisms observed in DFT calculations. …

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Spacer-Mediated Gold Nanocube Arrays For Edge-Localized Excitonic Enhancement In Monolayer Mos2​, Abdullah Efe Yildiz, Emre Ozan Polat Oct 2026

Spacer-Mediated Gold Nanocube Arrays For Edge-Localized Excitonic Enhancement In Monolayer Mos2​, Abdullah Efe Yildiz, Emre Ozan Polat

Turkish Journal of Physics

Plasmonic nanostructures offer an effective route for enhancing light-matter interaction in atomically thin semiconductors, whose optical response is intrinsically limited by their subnanometer active thickness. Here, we numerically investigate excitonic enhancement in monolayer (ML) Molybdenum Disulfide (MoS2) coupled to size-tuned gold (Au) nanocube arrays separated by thin aluminum oxide (Al2O3) and hexagonal boron nitride (h-BN) spacer layers. By varying the nanocube side length, the localized surface plasmon resonance is tuned across the visible spectral range to modulate the A- and B-excitonic transitions of monolayer MoS2.We show that the nanocube-size-dependent spectral redshift can be further controlled through the spacer material and …

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Theoretical Construction Of Light Hexaquarks And Their Substantiation By Seven-Dimensional Representation Of Su(2) Group, Mayank Joshi, Shuchi Bisht, Navjot Hothi, Manish Bisht Oct 2026

Theoretical Construction Of Light Hexaquarks And Their Substantiation By Seven-Dimensional Representation Of Su(2) Group, Mayank Joshi, Shuchi Bisht, Navjot Hothi, Manish Bisht

Turkish Journal of Physics

This manuscript presents a theoretical approach to constructing light hexaquarks using up and down quarks. These light exotic hexaquarks are shown to exhibit a seven-dimensional representation of the SU(2) isospin group. Additionally, the isospin septuplet is developed along with the quintet, triplet, and singlet representations for these light exotic hexaquarks. These particles are essentially mesonic in nature and also satisfy the requirements of the Kronecker product. Furthermore, the physical characteristics and weights of the respective states are intrinsically provided for these light hexaquarks.

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Design Implications For Teacher-Configurable Generative Ai Writing Tools: A Participatory Design Study With Storybot, Ariel Han, Shenshen Han, Zhenyao Cai, Joey Huang, Franceli Cibrian, Kylie Peppler Oct 2026

Design Implications For Teacher-Configurable Generative Ai Writing Tools: A Participatory Design Study With Storybot, Ariel Han, Shenshen Han, Zhenyao Cai, Joey Huang, Franceli Cibrian, Kylie Peppler

Engineering Faculty Articles and Research

As generative AI (GenAI) tools become accessible, their integration into K–12 writing presents opportunities and challenges. This study partnered with 21 primary school teachers in a participatory co-design process to develop StoryBot, a teacher-configurable GenAI story-authoring platform. Teachers identified instructional needs and learning outcomes that informed system features, including genre-specific writing scaffolds, configurable prompts, and constraints on full-text generation to preserve student voice. The platform positions educators as co-designers of AI behavior rather than passive users. We conducted a pilot writing workshop with 13 youth (ages 8–12) and a focus group with six educators to examine how the platform influenced …

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Latino Perceptions Of Nature, Recreation, And Community Engagement In Wasatch And Summit Counties, Utah, Elsa Perez, Jessica Ulrich-Schad, Lewis Kogan, Isaac Helton Oct 2026

Latino Perceptions Of Nature, Recreation, And Community Engagement In Wasatch And Summit Counties, Utah, Elsa Perez, Jessica Ulrich-Schad, Lewis Kogan, Isaac Helton

All Current Publications

This fact sheet presents results from a Utah State University study on Latino perceptions of nature, recreation, and community engagement in Utah's Wasatch and Summit counties and barriers to accessing programming. It also includes tips for increasing Latino participation in nature programs.

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A Sneak Peek Into Prehistory: Curating An Interactive Fossil Display To Spark Interest In The Ua Little Rock Natural History Museum, Syd Joheim, Rene Shroat-Lewis Oct 2026

A Sneak Peek Into Prehistory: Curating An Interactive Fossil Display To Spark Interest In The Ua Little Rock Natural History Museum, Syd Joheim, Rene Shroat-Lewis

Research and Creative Works Expo

Arkansas does not currently have a dedicated natural history museum, creating a unique opportunity for UA Little Rock following the recent donation of an expansive fossil collection. In response, the university established a natural history museum initiative intended to benefit both the campus community and the broader public across Arkansas. This initiative provides accessible resources for learning about natural science, evolution, and the state’s prehistoric past, areas that are often underrepresented in informal science education. It also serves as a platform for outreach, student engagement, and undergraduate research, strengthening UA Little Rock’s role in science education, workforce development, and community …

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Ai-Generated Phishing Attacks: Emerging Threats And Detection Strategies For Security Operations Centers, Bahzad Khalid Oct 2026

Ai-Generated Phishing Attacks: Emerging Threats And Detection Strategies For Security Operations Centers, Bahzad Khalid

Journal of Cybersecurity Education, Research and Practice

Artificial intelligence (AI) is transforming cybersecurity by strengthening defensive capabilities while simultaneously enabling more sophisticated phishing attacks. AI generated phishing emails increasingly evade traditional detection methods through improved grammar, contextual relevance and realistic communication styles creating significant challenges for Security Operations Centers (SOCs). This study investigates the effectiveness of current email security systems in detecting AI generated phishing emails compared with traditional phishing emails. A mixed method experimental approach was employed using controlled Gmail and Outlook environments to evaluate the detection and classification of multiple phishing scenarios. The results demonstrate that several AI generated phishing emails successfully bypassed initial security …

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Extensive Glacier Loss In The Coterminous United States, Andrew G. Fountain, Bryce Glenn, Christopher Mcneil, Brian Menounos Oct 2026

Extensive Glacier Loss In The Coterminous United States, Andrew G. Fountain, Bryce Glenn, Christopher Mcneil, Brian Menounos

Geology Faculty Publications and Presentations

Glaciers populate the mountain ranges of the western conterminous United States and despite their importance to alpine hydrology, their area and volume change have never been comprehensively evaluated. Our study shows that since the mid-twentieth century about one-quarter of the glaciers have disappeared and the overall area and volume are reduced by one-third. The pattern of glacier shrinkage suggests most glaciers in the conterminous United States are largely maintained by local topographic influences due to their small size. These results improve our understanding of evolving high alpine hydrology and importance to ecosystem processes.

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