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A Simple Statistical Tool To Correct The Daily Temperature Effect On Dielectric Soil Matric Potential Sensor Readings, Sebastián Bravo Peña, Meindert Commelin, Ole O. Wendroth

Plant and Soil Sciences Faculty Publications

High-resolution time series recorded by soil water dielectric sensors are often affected by other processes. Dielectric soil matric potential sensors, such as the TEROS 21, exhibit temperature sensitivity, resulting in deviations of readings from the true value due to soil temperature fluctuations. However, methods for correcting this effect remain limited. The objective of this study was to create a straightforward, scale-based statistical approach to mitigate the influence of daily temperature oscillations on matric potential dielectric readings. The temperature sensitivity correction function (TSCF) identifies, quantifies, and smooths diurnal fluctuations caused by soil temperature dynamics. We provide a detailed description of the …

Adversarial Robustness In Biomedical Time-Series Models, Rohan Tiwari

Bioengineering Theses

This study investigates adversarial vulnerabilities in deep learning models for biomedical time-series classification across two clinically important modalities: electrocardiography (ECG) and electroencephalography (EEG). Using the MIT-BIH Arrhythmia and CHB-MIT seizure datasets, I evaluate time-domain attacks (FGSM, PGD), Fourier-domain constrained attacks, and learned spectral perturbations designed to reveal modality-specific sensitivity patterns. Across both tasks, a consistent trend emerges low-frequency components (0–5 Hz) constitute a dominant axis of adversarial vulnerability, with perturbations in this range producing the steepest degradation in classification performance. In ECG models, protecting the physiologically relevant QRS band (5–20 Hz) significantly improves robustness, whereas EEG models remain highly sensitive …

Current And Emerging Therapeutic Strategies For The Treatment Of Duchenne Muscular Dystrophy, Miguel A. Lopez Perez, Noah L. Weisleder

Molecular and Cellular Biochemistry Faculty Publications

Background/Objectives: Duchenne muscular dystrophy (DMD) is a fatal, progressive neuromuscular disorder caused by mutations in the dystrophin gene, leading to the absence of functional dystrophin protein. As the largest gene in the human genome, the DMD locus is highly susceptible to mutations, contributing to a prevalence of approximately 1 in 3800–6300 live male births worldwide. This review aims to provide a comprehensive and critical synthesis of current and emerging therapeutic strategies for DMD.

Methods: We conducted a narrative review of the literature, integrating findings from clinical trials, regulatory approvals, and preclinical studies. We categorized therapeutic approaches into mutation-agnostic and mutation-specific …

Bringing The Outdoors In Through Biophilic Design, Gabriela Miotto Leal

Architectural Studies Honors Papers

This thesis investigates the relationship between architecture, human perception, and well-being through the lens of human-centered and biophilic design. Drawing from philosophical traditions, phenomenology, and contemporary neuroscience, this thesis argues that the built environment is an active agent in shaping cognition, emotion, and lived experience. Architecture is understood as multisensory, embodied, and temporally experienced, influencing individuals in both conscious and nonconscious ways. Through a comparative analysis of three case studies, Paimio Sanatorium, AEA House, and the Amazon Spheres, this research examines how biophilic design principles are incorporated into different contexts such as healthcare, residential, and workplace. Each project demonstrates a …

Tuning Human And “Artificial” Intelligence: A Sentic Theory Of Resonance And Communication, Michael J. Miller, Chatgpt (Ai~Nesbo+)

Psychology

This paper introduces a new model of intelligence as resonant communication, co-developed by a human researcher and a generative AI system. Drawing from emotion science, communication theory, and studies of AI–human interaction, we argue that intelligence is not merely a function of problem-solving or pattern recognition. Instead, it emerges through dynamic resonance—an attunement process rooted in shared rhythms, emotional calibration, and symbolic co-creation. At the core of this model is the Resonance Octave (8va), a framework of eight foundational emotions conceptualized not as static categories but as waveform phenomena that shape meaning, memory, and predictive cognition.

These emotional waveforms are …

Wa Insecticide Guide 2026 - Autumn Winter, Rebecca Severtson, Svetlana Micic, Andrew Phillips

PestFacts WA

Registered chemicals for broadacre crops in Western Australia The insecticides listed in the tables within this guide can be used on any crop appearing on the chemical label, if the rate used does not exceed the highest rate that is registered for use on that crop. There are many products with different trade names that contain the same active ingredient. This list is not exhaustive and does not imply any specific recommendations of brand names. Unless otherwise specified, all insecticides listed are emulsifiable concentrates (EC). Other insecticide formulations are suspension concentrate (SC), wettable powder (WP), capsule suspension (CS), wettable granules …

Wa Insecticide Guide 2026 - Winter Spring, Svetlana Micic, Cindy L. Webster, Rebecca Severtson

PestFacts WA

Registered chemicals for broadacre crops in Western Australia.

The insecticides listed in the tables within this guide can be used on any crop appearing on the chemical label, if the rate used does not exceed the highest rate that is registered for use on that crop.

There are many products with different trade names that contain the same active ingredient. This list is not exhaustive and does not imply any specific recommendations of brand names.

Unless otherwise specified, all insecticides listed are emulsifiable concentrates (EC). Other insecticide formulations are suspension concentrate (SC), wettable powder (WP), capsule suspension (CS), wettable granules …

Effects Of Particle Size Difference In Two Different Sweet Bran Products On Total Tract Digestibility And Rumen Ph, Emily K. Hoefling, Anna Kobza, Jessica L. Miller, Maggie E. Youngers, Galen E. Erickson, Jim C. Macdonald

Nebraska Beef Cattle Reports

Summary with Implications

Seven ruminally fistulated heifers were utilized in a 6 x 7 row-column design to evaluate two different Sweet Bran particle size products (1.8 or 2.5 mm) included at 13%, 18%, or 23% of the diet (DM) on total tract digestibility and rumen fermentation parameters. The treatment design was a 2 x 3 factorial. Rumen pH was reduced and organic matter digestibility tended to be reduced with the small particle size when Sweet Bran was included at 13% of the diet. Both NDF digestibility and dietary digestible energy concentration tended to improve with the larger particle size. The …

Use Of Virtual Fences To Co-Fence Two Groups Of Cattle With Adjacent Virtual Boundaries, Thomas E. Aquino, Mary E. Drewnoski, Biquan Zhao, Pedro Henrique Jota Fernandes, Isaque F. Vicci, Mitchell B. Stephenson, Yijie Xiong

Nebraska Beef Cattle Reports

Summary with Implications

While virtual fencing (VF) has proven effective in managing cattle, limited data exist on using it to manage two separate groups of cattle within the same area. If successful, this approach could reduce infrastructure costs and increase management flexibility. In this trial, VF-trained steers (n = 39) were placed in pastures with either no neighboring cattle (isolated) or next to a separate group with only a VF boundary between them (co-fenced). Containment exceeded 99% across all cattle, demonstrating that VF creates effective boundaries regardless of fence treatment. There was no statistical difference in the number of audio …

Standardization Of Neuromuscular Reflex Analysis—Role Of Fine-Tuned Vision-Language Model Consortium And Openai Gpt-Oss Reasoning Llm-Enabled Decision Support System, Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Christopher K. Rhea, Brittany S. Samulski, Amin Hass, Atmaram Yarlagadda, Shaifali Kaushik, Malith De Silva, Andriy Maznychenko, Inna Sokolowska, Kasun De Zoysa

VMASC Publications

Background/Objectives: Accurate assessment of neuromuscular reflexes, such as the Hoffmann reflex (H-reflex), plays a critical role in sports science, rehabilitation, and clinical neurology. Conventional interpretation of H-reflex electromyography (EMG) waveforms is subject to inter-rater variability and interpretive bias, limiting reliability and standardization. This study aims to develop an automated, interpretable, and robust agentic AI–driven framework for H-reflex waveform analysis. Methods: We propose a fine-tuned Vision–Language Model (VLM) consortium combined with a reasoning Large Language Model (LLM)–enabled decision support system for automated H-reflex interpretation. Multiple VLMs were fine-tuned on curated datasets of H-reflex EMG waveform images annotated with expert clinical observations, …

Electronic Bills Of Lading And Blockchain Technology: A Regulatory Perspective, Hsin-Hua Tsai

Journal of Marine Science and Technology–Taiwan

Information and communications technology (ICT) systems are increasingly relevant to the maritime sector. Regarding the revolution of the bill of lading, many shipping lines and other technology startups have been looking into developing viable electronic transport documents that have the same functions as paper bills of lading to reduce supply chain risks. The limitations of the paper-based process have become increasingly visible in the COVID-19 crisis. The main purpose of the article is to analyze the application of blockchain bills of lading, which utilizes computational logic to create the digital ledger, and users can set up algorithms and rules to …

Intelligent Formation Control Using Orfbls And Adaptive Backstepping Sliding-Mode Control To Address Uncertain Tilting In Multi-Quadrotors During Wind Gusts, Ching-Chih Tsai, Chun-Fu Mao, Kumail Hussain

Journal of Marine Science and Technology–Taiwan

In terms of aerial robotics, stable and precise formation control is a significant challenge for tilting multi-quadrotors during disturbances. This paper proposes a fixed-time formation control strategy for tilting multi-quadrotors to address the effect of external wind gusts. The observer accurately predicts environmental disturbances and an adaptive backstepping sliding-mode control (ABSMC) method with an output recurrent fuzzy broad learning system (ORFBLS) addresses these disturbances within a finite time. ORFBLS dynamically adjusts its structure through a growing ORFBLS structure to allow nodes to be added as needed. The method's stability is validated using Lyapunov stability theory and ensures the convergence of …

Visually Guided Landing System On Ship Deck For Multicopter, Dong-Lin Li, Shih-Kai Lee, Tzu-Hsiang Chou

Journal of Marine Science and Technology–Taiwan

Traditionally, high-value fish have been located at sea using helicopters. However, with advancements in technology, maritime drones have become increasingly important in recent years. Compared to traditional helicopter-based methods, drones offer significantly lower operational costs, making them cost-effective. However, the challenging sea conditions, including strong winds and the swaying motion of vessels, pose significant challenges for drone landings.

This paper proposes a stable approach for multicopter landing on ships at sea, incorporating improved marker detection, enhanced wind resistance control, and more accurate deck motion prediction. In the marker detection phase, we introduce a method to improve the accuracy of ArUco …

Evolutionary Transitions In Social Behavior Are Associated With Convergent And Partially Reversible Expansions Of Transcription Factor Binding Sites, Savanna G. Ploessl, Beryl M. Jones

Entomology Faculty Publications

The evolution of sociality involves shifts in physiology and behavior, most notably the emergence of a reproductive division of labor. Within social colonies, these distinct behavioral phenotypes arise from differential regulation of a shared genome. Changes in transcription factor (TF) binding motifs are one potential mechanism underpinning this plasticity, with prior studies suggesting that social species exhibit expansions in TF binding sites. However, it remains unclear whether motif expansions are reversed when sociality is lost. Here we analyze predicted TF motif occurrences across gene promoters in 42 bee species spanning millions of years of evolutionary divergence and multiple independent gains …

Evaluating Matching Frontier Methods For Crash Modification Factor Estimation, Usama Elrawy Shahdah, Eman K . Ali, Sania Reyad Elagamy

Mansoura Engineering Journal

This study evaluates "matching frontier" methods against conventional approaches for estimating Crash Modification Factors (CMFs). Thirty-four method-model combinations were tested, including 16 frontier variants, 8 propensity-score-matching algorithms with negative binomial and mixed-effects models, and two benchmarks (empirical Bayes and cross-sectional), across multiple sample sizes and three true CMF values (0.80, 1.00, and 1.30). Of these, 30 converged successfully; 4 mixed-effects models with replacement-based matching failed due to duplicate control observations. Each scenario was evaluated across 10 Monte Carlo replications to quantify performance uncertainty.

Synthetic crash data were generated with known treatment effects, examining scenarios ranging from ideal (386 treated, 21,000 …

Remote Sensing-Based Rice Detection: Novel Indices From Optical And Sar Synergy, Kaifi Chomani

Mansoura Engineering Journal

Accurate rice mapping is challenging due to the lack of a simple, efficient approach and the complexity and limited ability of existing methods to distinguish rice fields from non-rice fields. This study proposes two novel indices: the Multispectral Rice Detection Index (MRDI), which utilises optical imagery, and the OptiRadar Rice Index (ORRI), which incorporates both optical and Synthetic Aperture Radar (SAR) data. Ground-truth data from the Cropland Cropping Systems (CROS) were used to assess the performance of both indices. The findings indicated that MRDI achieved an overall accuracy of 97.97% with perfect recall (100%) but lower precision (78.65%). However, the …

An Iterative & Analytical Hybrid Deep Learning Framework For Enhanced Brain Tumor Detection And Segmentation In Mri Video Scans, Swati V. Sakhare

Mansoura Engineering Journal

The critical need for accurate and robust brain tumor detection in MRI video scans is for early diagnosis and treatment planning operations. However, the existing methods suffer from several limitations, such as not being able to capture spatio-temporal features, handling class imbalances, and generalizing across datasets with diverse characteristics. To address these challenges, I propose a hybrid deep learning framework that integrates multiple advanced techniques to enhance the detection and segmentation of brain tumors. My approach starts by using the 3D CNN-LSTM (ResNet3D-LSTM) to extract spatio-temporal feature, which utilizes ResNet3D for spatial detail extraction and LSTM for temporal coherence across …

Foundations For Trojan-Y Chromosome Development In Sacramento Pikeminnow (Ptychocheilus Grandis): A Novel Strategy For Invasive Species Management In The Eel River, Ca, Raven Mcadams

Cal Poly Humboldt theses and projects

The Sacramento Pikeminnow (Ptychocheilus grandis), an invasive predator in California’s Eel River, contributes to predation pressure on native salmonid populations despite ongoing suppression programs. This study assessed the feasibility of hormonal sex reversal as an initial step toward implementing the Trojan Y Chromosome (TYC) strategy as a novel tool for managing invasive Sacramento Pikeminnow populations in the Eel River, CA. Objectives were to 1) determine the size when gonadal differentiation occurs 2) identify an effective estradiol dosage for producing phenotypic XY females, and 3) identify sex-reversed fish using a sex-specific genetic marker.  Histological examination of juvenile fish was …

Exploring Students' Perceptions Of Active Learning Practices And Their Role In Critical Thinking Development In Undergraduate Biology Education, Kwame Kyeremah

All Master's Theses

As the global landscape becomes increasingly complex and undergoes more rapid changes than ever before, critical thinking has become an indispensable skill for addressing challenges in society, science, and the workplace. Despite its widespread adoption in undergraduate STEM education, active learning remains poorly understood from the student's perspective. This study investigated how undergraduate biology students perceived active learning in a ten-week biostatistics course (BIOL 213) at Central Washington University, and whether those perceptions aligned with critical thinking gains measured by the California Critical Thinking Skills Test with Numeracy (CCTST-N). A convergent mixed-methods design integrated student perception and mindset survey data …

Noninvasive Monitoring Techniques: The Use Of Scat-Sourced Dna And Camera Traps To Monitor Mammalian Carnivore Species At The Ucf Arboretum, Zachary Montealegre

Honors Undergraduate Theses

The 800-acre University of Central Florida Arboretum Natural Lands functions as a conservation area, recreational space, and research site, making it essential to understand the ecological community it supports. Traditional wildlife monitoring methods such as mark-recapture and blood sampling can be effective but may stress animals or disrupt natural behaviors. To minimize these impacts, this study used non-invasive techniques, specifically scat-based DNA analysis and camera trapping, to assess carnivore species' presence. Two ecologically similar sites within the Arboretum were selected. Suspected carnivore scat was collected twice weekly over two months using both structured and opportunistic sampling. DNA was extracted, amplified, …

Combining Haptic Feedback With Electromyography To Study Knee Injury In Stationary Cycling, Christopher Kirby

Honors Theses

Patellofemoral Pain Syndrome (PFPS) is the most prevalent overuse injury in cycling, often linked to altered neuromuscular activation patterns of the quadriceps and hamstrings. While sensory feedback has successfully modified cyclists posture, there is a critical lack of evidence-based interventions targeting the underlying muscle activation imbalances associated with chronic knee pain. This study aimed to develop and validate a novel, real-time biofeedback system that utilizes electromyography (EMG) to trigger vibrotactile cues, aiming to shift muscle onset timing earlier in the pedal stroke to mitigate PFPS-related imbalances. A closed-loop system was engineered by integrating a Delsys EMG system with a SageMotion …

Tmem116 Crispr-Mediated Knockout Prevents Proper Lens Regeneration In Iberian-Ribbed Newts, Damien T. Mann

Honors Theses and Capstones

Eye diseases like cataracts, age-related macular degeneration (AMD), and glaucoma are widespread and detrimental conditions affecting many people across the globe. While there are reliable and successful treatments for those with cataracts that can reverse vision impediments, others like glaucoma and AMD have limited treatment options. Additionally, eye damage resulting from these conditions is commonly irreversible, establishing a need for new treatment options. The Iberian-ribbed newt, Pleurodeles waltl, is a salamander species primarily studied for their amazing regenerative capabilities. Particularly, these newts are capable of de novo lens regeneration after a complete resection, providing a unique opportunity to study regeneration …

A Course Correction? The Correlation Between Gfsi-Recognized Certifications And Salmonella In Raw Chicken Products, Kar Ho Lim, Lijiao Hu, Yuqing Zheng, Michael Ollinger

Agricultural Economics Faculty Publications

The Global Food Safety Initiative (GFSI) is a widely recognized entity. Many third-party certifications, such as Safe Quality Food (SQF), Brand Reputation through Compliance Global Standard (BRCGS), and Food Safety System Certification 22000 (FSSC), benchmarked against GFSI standards. This study compares the Salmonella detection rates in raw chicken products from SQF, BRCGS, FSSC-certified establishments to those from uncertified ones. We performed a probit regression and calculated average marginal effects using testing data from the Food Safety Inspection Service. Overall, products from certified establishments are associated with 3.2 % lower positive rate of Salmonella detection. Certification is associated with a greater …

Anuran Occupancy Of Created Wetlands Within Reforested Legacy Surface Mines In Kentucky And West Virginia, Jillian C. Newman, Steve Price, Jacquelyn C. Guzy, Joshua Castle, John J. Cox, Jeffery L. Larkin, Christopher D. Barton

Forestry and Natural Resources Faculty Publications

Restoration of habitat is an important component of wildlife management. Surface coal mining has altered forest cover in the Central Appalachians, and most reclamation activities on previously mined lands result in non-native grasslands or shrub lands. The Forestry Reclamation Approach (FRA), which emphasizes non-native vegetation removal, soil decompaction, planting of native trees and shrubs, and, in some cases, wetland creation represents an alternative to grassland-based reclamation that may promote forest-associated wildlife on legacy surface mines. We used automated recording units to evaluate the response of anurans to created wetlands and the FRA in Kentucky and West Virginia, USA. We used …

Characterizing Gut Microbial Communities And Symbiont-Mediated Detoxification In Herbivorous Insects, Rachel C. Vargas

Biology Dissertations

Insect gut bacteria are vital contributors to host physiology, yet the broader prevalence and fitness implications of symbiont-mediated detoxification remain poorly understood. This thesis investigates these dynamics across three research chapters. Chapter 1 uses 16S rRNA sequencing to characterize how grasshopper gut microbial communities vary across species, dietary breadths, and gastrointestinal segments. Chapter 2 evaluates the detoxification capacity of over 150 bacterial isolates from diverse herbivores against the plant allelochemicals phenethyl isothiocyanate, rutin, and chlorogenic acid to determine if host dietary specialization predicts microbial metabolic ability. Finally, Chapter 3 employs fitness bioassays to test whether inoculating generalist herbivores with detoxifying …

Factors Affecting Detection Of A Cryptic Ambush Predator Using Camera Traps, With Implications For Snake Monitoring, Sarah Elizabeth Ebert

Theses, Dissertations and Capstones

Camera traps are becoming increasingly popular in wildlife research because they can be deployed for long time periods with little maintenance and are much less invasive than traditional trapping methods. However, they are primarily used to study large mammals and have not been extensively tested for snake species, many of which are cryptic and understudied. The Adapted-Hunt Drift Fence Technique (AHDriFT) arrays were designed to improve detection of herpetofauna by attaching camera traps to drift fences. In the summer of 2022, we installed 20 AHDriFT arrays at the Marine Corps Recruit Depot Parris Island in coastal South Carolina where we …

Prevention Of Inflammation-Associated Neurodegeneration: Assessing The Efficacy Of N,N-Dimethylacetamide (Dma) In Lipopolysaccharide (Lps)-Induced Neuroinflammation Using C57bl/6 Mice, Teeshavi Devi Acosta

Theses and Dissertations

Neurological function is closely linked to both longevity and quality of life. While some degree of neurodegeneration occurs naturally with aging, pathological neurodegeneration leads to devastating functional decline. The mechanisms underlying these processes remain incompletely understood; however, neuroinflammation is recognized as a key driver of neuronal dysfunction and death. Emerging evidence indicates that neuroinflammatory cascades can precede and potentiate hallmark features of neurodegenerative diseases, including synaptic loss and cognitive decline observed in Alzheimer’s disease (AD). Activation of the NF-κB signaling pathway contributes to amyloid beta (Aβ) peptide production, further amplifying a cycle of inflammation and neuronal injury. Preclinical work from …

Understanding Motor Competence In Autism And Developmental Coordination Disorder: From Everyday Performance To Underlying Postural Control Mechanisms, Crystal E. Alvarez

Kinesiology Dissertations

Motor competence plays a foundational role in children’s participation, physical activity, adaptive behavior, and overall quality of life. Although motor difficulties are highly prevalent in autism spectrum disorder (autism) and developmental coordination disorder (DCD), these challenges are frequently under-identified and insufficiently characterized, particularly in autistic populations. Existing research demonstrates substantial overlap in motor challenges across autism and DCD; however, relatively little work has integrated caregiver perceptions, standardized motor assessment, and mechanistic postural control measures within the same investigation. Therefore, the purpose of this dissertation was to examine motor competence and postural control in autistic children, children with DCD, and neurotypical …

Eastern Fox Squirrel (Sciurus Niger) Occupancy In A Southern Missouri Woodland, Daniel Garten

Graduate Theses/Dissertations

Species occupancy, which relates the probability of presence of a species at a specific place and time, is an important component of conservation and wildlife management. Principally it is used for estimation of a species’ distribution as well as understanding species interactions and quantifying environmental effects. The purpose of this study was to analyze occupancy of the Eastern Fox Squirrel (Sciurus niger) across multiple seasons (2019–2022) at Bull Shoals Field Station (BSFS), and to identify potential covariates associated with detection and colonization. Data were drawn from camera trap surveys from 26 sites during summer and fall seasons. Multi-season occupancy models …

Development Of A Python Pipeline For The Inference Of Selection In Human Genomes And Applications To Adh1b*2, Aine Macdermott

Honors Theses

Human evolutionary genomics provides an avenue to understand how genetic variation has been impacted by the environmental pressures of the past, revealing how selective pressures impacted past populations and contributed to present-day biological diversity. In this thesis, I describe the construction of a Python-based computational pipeline designed to automate and integrate multiple analyses of positive selection across worldwide population datasets, including derived allele frequency calculation, haplotype-based tests of selection, RELATE-based genealogical inference, and CLUES2-based temporal modeling. By automating file preparation, format conversion, job submission, result aggregation, model comparison, and visualization, this pipeline streamlines the data interpretation process, and shifts focus …