Digital Commons Network^™

Supporting Data – T-3 Stream Stage And Streambed Well Data, Mclean County, Il, April 12, 2025 To November 1, 2025, Eric Wade Peterson, Eric Brunner

Faculty Publications - Geography, Geology, and the Environment

Between April 12, 2025, and November 1, 2025, observation wells at the T-3 site in central Illinois were monitored at an upstream and downstream site along the stream. A conductivity, depth, and pressure (CTD) sensor inside each well collected continuous in-situ measurements for the water column height (mm), the water temperature (°C), and the water conductance (mS/cm). The available dataset provides in-situ readings every 15-minutes from seven (7) locations: upstream stream, streambed, and shallow aquifer, downstream stream, streambed, and shallow aquifer, and Well 12, and provides the air temperature.

Dataset: Participation Versus Points: Examining The Impact Of Grading Conditions On Student Resource Use During An Out-Of-Class Biology Concept Assessment, Tiffany J. Burgess, Crystal Uminski, Brian A. Couch

School of Biological Sciences: Faculty Publications

Instructors use concept assessments to collect diagnostic information regarding student learning and to inform decisions surrounding instructional interventions and course modifications. Administering concept assessments out-of-class helps preserve already limited instructional time, but instructors still must consider whether to apply a lower-stakes (i.e., participation) versus higher-stakes (i.e., correctness) grading scheme. An increase in stakes is likely to prompt additional effort, but it may also increase undesired behaviors and inadvertently prompt external resource use, such as students leveraging their notes, the internet, or their peers. In the present study, we compared student self-reported resource use on a biology concept assessment administered under …

Wv, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Hi, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Co, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

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Ny Cultivation Env, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

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Ms, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

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Ut Lab 2, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Nv, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

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Ut Lab 1, Yasha Kahn, Panduka Nagahawatte, Panduka Nagahawatte

Data Sets

No abstract provided.

The Efficacy Of Travoprost/Timolol In Treating Glaucoma, Yasmin Emam, Sebastian Nieto, Arnav Jain, Chris Rodriguez, Angelia Koppenhoefer

High Impact Practices Student Showcase Spring 2026

This project focuses on evaluating the effectiveness of DuoTrav, a fixed-combination ophthalmic medication containing Travoprost 0.004% and Timolol 0.5%, in the treatment of open-angle glaucoma and ocular hypertension. The purpose of the researcher's study was to examine how this combination therapy compares to a beta-blocker monotherapy in reducing intraocular pressure (IOP), which is a major risk factor for optic nerve damage and vision loss in glaucoma patients.

Key activities included reviewing the cause of glaucoma, analyzing the design and results of a completed and randomized clinical trial, and applying the findings to clinical practice.

One of the most important things …

Long Biogeographic Separation Corresponds With Fewer Herbivores On Eastern Asian Plants Introduced To Eastern North America, Robert Warren

Biology Faculty Datasets

No abstract provided.

Data Repository For: Dorsey Et Al., 'Rapid Transient Uplift Driven By Active Slab Tear, Southern Calabria, Italy', Rebecca J. Dorsey, Nathan D. Brown, Sergio G. Longhitano, Marco Meschis, Domenico Chiarella, Charles P. Ogle

Earth & Environmental Sciences Datasets

Southern Italy preserves a well-studied record of deformation and uplift related to migrating oblique collision, trench retreat, and tearing of subducted ocean slabs. However, the surface expression of these processes is incompletely understood due to a lack of reliable ages for marine terraces >200 m above sea level (masl). Here we use luminescence methods to date shallow marine sands from terraces ~ 100 to 1,000 masl in southern Calabria and interpolate the results with regional surface mapping. Burial ages overlap across the full range of sampled elevations with a weighted mean of 118.8 ± 8.7 thousand years before present (ka). …

Ct, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Mi, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Ny, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Ak, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Mo, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

Data Sets

No abstract provided.

Exploring The Potential Of Renewable Energy For Sustainable Mobility: A Simulation- Based Study Of Hydrogen Vehicle Penetration In Oman’S Road Network, Siham Farrag, Tarek R. Sheltami, Fatma Outay, Ansar Ul Haque Yasar

All Works

Hydrogen fuel is gaining attention as a promising zero-emission energy source, aligning with global sustainability goals and supporting the transition to zero carbon emissions. This study examines the potential of using hydrogen as an alternative fuel for sustainable mobility in Muscat, Oman. We developed an integrated modelling framework that combines microscopic traffic simulation, energy demand modeling, refueling infrastructure station’ estimation, and well-to-wheel (WTW) emissions evaluation. A microscopic simulation software (SUMO) was applied to evaluate the penetration rate of hydrogen-powered vehicles (0%, 20%, 40%, 60%) with different hydrogen production pathways. Results indicate that with a 60% penetration of green hydrogen, total …

Machine Learning For Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review, Yassine Benachour, Farid Flitti, Lina Maloukh, Aicha Beya Far, Elhocine Boutellaa, Mohamed Bentoumi, Marwa Chendeb El Rai, Nour Aburaed, Khaled Ali, Moez Rehman, Sultan Mosleh, Rania Dghaim, Sadok Bouamama

All Works

Wearable-sensor-based human movement analysis is an increasingly important component of digital health and rehabilitation, enabling objective monitoring and data-driven personalization of therapy. In parallel, machine learning (ML) methods have rapidly expanded for interpreting multimodal movement signals, yet the evidence base remains heterogeneous and difficult to benchmark. This PRISMA-guided systematic review synthesizes recent ML approaches for wearable human motion analysis in rehabilitation-oriented health applications. We searched IEEE Xplore, PubMed, and Scopus for English-language studies published from 2021 to 2025 and extracted information on sensor modalities, ML task formulations and model families, dataset characteristics, validation protocols, and reported performance metrics, together with …

Identification Of A Rural Black Community-Based Mental Health Intervention Via Cbpr, Kirsten Mengell

College of Graduate Studies: Theses & Dissertations

Poor mental health in the US has increased since 2011 (Mental Health America, 2022). Rural communities face disparities in mental health shortages (Andrilla et al., 2018). African Americans face additional barriers, including a historical underutilization of mental health and high mental health stigma. This is significant given the higher rates of mental distress and discrimination among rural African Americans compared to Whites (James et al., 2017), and a recent increase in suicide among Black Americans (Stone et al., 2023). Illustrating a need for options within rural Black communities that can overcome professional shortages and cultural barriers to improve mental health …

Artificial Sense-Making Dataset, Jason A. Bengtson, John Sandstrom, Nathan Camp

NMSU Library: Datasets

No abstract provided.

Ansys Discovery And Fluent Files For Modeling A Hydrocyclone With Scco2 And Coal Fly Ash, Isaiah Morones, Catherine Brewer

Chemical & Materials Engineering: Datasets

No abstract provided.

Variable Temperature And Moisture Requirements For Germination Within Populations Of Kochia (Bassia Scoparia) In Field Margins, Brian Schutte, Rebecca Creamer

Entomology, Plant Pathology, & Weed Science: Datasets

No abstract provided.

Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid

All Works

Balancing energy efficiency with stringent timing guarantees in real-time mixed-criticality systems (MCS) is a key challenge, especially in multicore architectures. This paper introduces a novel energy-aware scheduling framework that integrates dynamic voltage and frequency scaling (DVFS) with a Decreasing-Criticality-Decreasing-Utilization (DCDU) allocation approach. The optimal operating frequencies are obtained at each criticality level; high-criticality tasks are assigned to cores at full operating frequency to maintain timing guarantees, while low-criticality tasks are allocated using worst-case execution times scaled to their optimal frequency. A fixed-priority response-time analysis is used for schedulability in low mode, high mode, and during mode changes. The extensive simulations …

Edge-Aware Ris-Assisted Dynamic Channel Allocation With Lightweight Llm Decision Agent For Interference Mitigation In Low-Altitude Remote Sensing Networks, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Muhammad Attique Khan, Rashid A. Saeed, Hashim Elshafie, Bishwajeet Kumar Pandey, Khairul Akram Zainol Ariffin

All Works

Low-altitude remote sensing networks are increasingly important for applications, such as environmental monitoring, disaster response, infrastructure inspection, and real-time sensing services. However, when many sensing nodes share limited spectrum resources, severe cochannel interference can degrade communication reliability and delay sensing-data delivery. This challenge becomes more critical in edge-enabled deployments, where control decisions must be made under strict latency, memory, and computational constraints. To address this issue, this article proposes a large language model (LLM)-enhanced edge-aware lightweight reconfigurable intelligent surface (RIS)-assisted dynamic channel allocation (EL-RIS-DCA) framework for interference mitigation in dense low-altitude remote sensing networks. The novelty of the proposed framework …

Lightweight Tinyml-Enhanced Task Offloading In Vanets For Next-Generation Intelligent Transportation Systems, Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi, Irfan Ud Din, Shabir Ahmed

All Works

Vehicular Ad Hoc Networks (VANETs) face resource constraints, high node mobility, and stringent latency requirements, especially in safety-critical applications such as collision avoidance, path planning, and emergency braking. Task offloading to nearby vehicles or Roadside Units (RSUs) mitigates local computational limits, but dynamic conditions, unreliable nodes, and rapid topology changes complicate dependable node selection. This paper proposes a Tiny Machine Learning (TinyML)-enhanced, credibility-based task offloading framework for real-time decision-making in vehicular networks. RSUs evaluate vehicle reliability through a three-component Credibility Assessment Module: a Task Assignment Component that distributes lightweight test tasks and filters unreliable nodes via TinyML inference; a Verification …

A Preliminary Exploratory Assessment Of Chatgpt To Generating Stride Data Flow Diagrams, Hassan Alsayegh, Mohamed El-Attar

All Works

Threat modeling is a core activity in security-by-design practices, enabling early identification of architectural weaknesses before system implementation. The drawings used during STRIDE analysis are typically Data Flow Diagrams (DFDs), referred to as “STRIDE diagrams” in this paper. STRIDE diagrams provide a visual approach for categorizing security threats; however, constructing accurate STRIDE diagrams require experience and is often time-consuming. Recent advances in Large Language Models (LLMs), such as ChatGPT, raise important questions about their suitability for supporting structured security modeling tasks. This study presents a preliminary exploratory assessment of ChatGPT’s ability to generate, analyse, and iteratively refine STRIDE diagrams from …

Sustainable Paper Production From Date Palm And Reed Leaves Through The Valorization Of Agricultural Waste Products, Imane Belyamani, Alreem Alameri, Jacqueline Soghman

All Works

The environmental consequences of wood-based paper production, including greenhouse gas emissions, have accelerated the search for sustainable alternatives. This study investigates the use of reed and date palm fibers as eco-friendly raw materials for paper production, focusing on starch's influence on their thermal, structural, and mechanical properties. Reed fibers exhibited a higher pulp yield (58.2 %) and lower lignin content (7.8 %) compared to date palm fibers (55.9 % yield, 14.1 % lignin), contributing to papers with smoother textures and greater flexibility. The incorporation of starch into both fiber types resulted in notable performance improvements, though the effects were more …

Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens

All Works

Objective: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support. Methods and procedures: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested by ANOVA. K-modes clustering identifies four interpretable dermatological profiles within the cohort and is embedded in leakage-free nested cross-validation (train-only selection; test labels from training centroids). Subtypes are predicted from genetics plus lifestyle using an XGBoost (XGB) classifier; explainability uses gain, permutation importance, and SHAP …