Digital Commons Network^™

Praise That Empowers: Training Preschool Teachers To Linguistically Adapt Behavior-Specific Praise For Hispanic Students, Claudia Abril Ochoa

Dissertations

Children’s engagement in early ages is critical for promoting behavioral, academic, and social-emotional outcomes. However, engagement in classroom activities may be difficult for young children who have not mastered the primary language used in early childhood education settings (i.e., English). Research regarding engagement in English Language Learners (ELLs) in preschool settings, as well as cultural and/or linguistic adaptations of classroom interventions to serve this population is limited. Behavior-specific praise (BSP) has been an effective strategy to improve behavior in preschool classrooms. The current study used a multiple-baseline design across three Head-Start teachers to test the efficacy of in situ training …

Tellurium Selenide Quantum Wires Synthesized By Pulsed Laser Ablation In Liquids, Rajendra Subedi, Francisco Ruiz-Zepeda, Iono Hill, Geraldine Hallais, Etienne Herth, Gregory Guisbiers

Faculty Scholarship

Tellurium–selenide (TexSe1-x) binary alloys are promising chalcogenide systems with tunable optoelectronic properties, yet their synthesis in quantumly confined one-dimensional forms remains limited. Here, we report the synthesis of TexSe1-x quantum wires (QWs) via a two-step pulsed laser ablation in liquids (PLAL) approach, enabling surfactant-free formation of alloyed nanostructures under non-equilibrium conditions. A tellurium colloid is first generated and subsequently exposed to selenium ablation, promoting in-situ alloying through repeated plasma-bubble interactions at high repetition rate. The resulting QWs exhibit an average diameter of ~17 ± 4 nm and a length of ~475 ± 46 nm. Structural and chemical analyses (XRD, Raman, …

Climate-Driven Degradation And Lifecycle Reliability Of Building-Integrated Photovoltaic Systems: Integration Challenges And Deployment Pathways, Mohammad Nur-E-Alam, Mohammad Khairul Basher, Mohammad Tariqul Islam, Mongi Amami, Rajesh Haldhar, M. Khalid Hossain

Research outputs 2022 to 2026

Building-integrated photovoltaics (BIPV) are becoming a more popular source of renewable energy. It is an on-site renewable energy source within buildings but has limited growth due mainly to lifespan issues throughout the entire life cycle from manufacturing to design, installation, electrical integration, operation, and end of life. This paper reviews the climate-driven deterioration mechanisms of BIPV, including thermal cycling, moisture ingress, atmospheric pollutants, wind loads, etc. They relate these climate-driven deterioration mechanisms to BIPV performance deterioration, energy yield reductions, safety concerns related to energy loss, and long-term reliability of BIPV systems across all parts of the BIPV life cycle. Through …

Attenuation Of Redox Interference In Ruo2 Ph Sensor Using A Ta2o5/Nafion Multilayer Architecture, Wade Lonsdale, Magdalena Wajrak, Md Mahamudul Hassan, James Jin Kang

Research outputs 2022 to 2026

Despite the growing preference for solid-state pH sensors due to their advantages over glass pH electrodes, their practical application is still limited by challenges, particularly in metal-oxide based systems. The main issue is their susceptibility to redox-active species such as dissolved oxygen, ascorbic acid, sulfides, and transition-metal ions. In this work, the effects of representative redox interferents, with particular emphasis on ascorbic acid, together with dissolved oxygen and potassium permanganate, were investigated and mitigated through the application of Ta2O5/Nafion overlayers. The solid-state metal-oxide pH-sensitive electrodes were fabricated with laser micro-etching of radio-frequency (RF) sputtered RuO2 thin films deposited on ceramic …

Dietary Patterns And Cognitive Decline In Older Adults: Findings From The Western Australia Memory Study, Carolina Blagojevic Castro, Samantha L. Gardener, Farzana Jahan, Juliana Chen, Belinda M. Brown, Ruey L. Loo, Kevin Taddei, Stephanie R. Rainey-Smith, Michael Weinborn, Ana Caroline R.Dos Reis, Manohar L. Garg, Ralph N. Martins, Hamid R. Sohrabi

Research outputs 2022 to 2026

Background: Preventive strategies, including adherence to specific dietary patterns, have received increasing attention as approaches to reduce cognitive decline and dementia risk. However, findings remain inconsistent, partly due to differences in dietary assessment methods, cognitive outcomes, and THE consideration of genetic susceptibility factors such as apolipoprotein E (APOE) genotype.

Methods: This study examined associations between dietary patterns and longitudinal cognitive change in 185 older adults without dementia from the Western Australia Memory Study. Participants completed a food frequency questionnaire at baseline and underwent comprehensive neuropsychological assessments at baseline and up to five follow-up visits at 18-month intervals. Composite scores were …

Leveraging Artificial Intelligence To Enhance Marine Biosecurity, Marnie L. Campbell, Chi T.U. Le, Jumana Abu-Khalaf, Craig D.H. Sherman

Research outputs 2022 to 2026

Marine biosecurity stands at the crossroads of innovation and necessity, with artificial intelligence (AI) offering promising tools to enhance risk assessment, surveillance, and response strategies for invasive species management. Despite the rapid growth of AI applications in marine science, there has been no comprehensive overview of its potential role in enhancing and supporting marine biosecurity. Our literature review aims to fill this gap, showing that AI use in this field remains limited and underdeveloped. Through our literature analysis, we identify key opportunities for AI research and innovation across the marine biosecurity continuum, while also highlighting both general and domain-specific challenges. …

Unilateral Numbers Need Context: Reference Values For Single-Leg Cmj Performance Relative To Bilateral Cmj Capacity, Karol Kruczek, Tim Gabbett, Jason Lake, Michał Nowak

Research outputs 2022 to 2026

The single-leg countermovement jump (SL CMJ) is widely used to assess limb-specific neuromuscular function, with interpretation commonly centred on inter-limb asymmetry. However, contextualising unilateral performance relative to bilateral capacity remains less clearly defined. This retrospective cross-sectional study aimed to develop exploratory descriptive benchmarks for SL CMJ kinetic, kinematic, and temporal variables expressed as a percentage of bilateral CMJ performance in a heterogeneous athletic cohort. A total of 348 athletes completed bilateral and unilateral CMJs using dual force plate sampling at 1000 Hz. The best trials were selected using the modified reactive strength index (mRSI), and averaged unilateral variables were expressed …

Human-Centered Electric Vehicle Adoption Framework For Smart Mobility: Modeling Perceived Range And Charging Anxiety As A Psychological Barrier, Fatemeh Nazari, Abolfazl (Kouros) Mohammadian, Thomas Stephens

Civil Engineering Faculty Publications

Electric vehicles (EVs) offer a transformative pathway toward reducing the environmental, economic, and health-related externalities of internal combustion engine vehicles in urban settings. Despite substantial advances in battery technology, charging infrastructure expansion, and supportive policy incentives, EV penetration remains limited which poses challenges for smart and sustainable mobility planning. A critical yet insufficiently modeled barrier to adoption lies in the psychological perceptions surrounding electric driving range and charging reliability, which is commonly framed as “range anxiety,” but more broadly reflecting perceived range and charging anxiety. To address this gap, this study introduces a latent psychological construct capturing individuals’ perceived range …

Bayesian Variable Selection In High-Dimensional Ordinal Quantile Regression Models, Mai Dao, Md. Sakhawat Hossain, Zhuanzhuan Ma

School of Mathematical & Statistical Sciences Faculty Publications

Quantile regression (QR) provides a flexible statistical framework for modeling the entire conditional distribution of the response variable, making it useful for analysis in various fields. Despite its advantages, existing methods for QR often encounter numerical challenges in high-dimensional settings, especially for those with ordinal responses. In this paper, we use a latent-response framework to construct a Bayesian hierarchical model to conduct parameter estimation and variable selection for ordinal QR. Using the asymmetric Laplace working likelihood and the horseshoe prior for the regression coefficients, we obtain the posterior samples to be screened by the sequential two-means clustering process to identify …

A Finite Element Model To Analyze Crack-Tip Fields In A Transversely Isotropic Strain-Limiting Elastic Solid, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah

School of Mathematical & Statistical Sciences Faculty Publications

This paper presents a finite element model for the analysis of crack-tip fields in a transversely isotropic strain-limiting elastic body. A nonlinear constitutive relationship between stress and linearized strain characterizes the material response. This algebraically nonlinear relationship is critical as it mitigates the physically inconsistent strain singularities that arise at crack tips. These strain-limiting relationships ensure that strains remain bounded near the crack tip, representing a significant advancement in the formulation of boundary value problems (BVPs) within the context of first-order approximate constitutive models. For a transversely isotropic elastic material containing a crack, the equilibrium equation, derived from the balance …

Validation Of A Portable Electrochemical Sensor For Real-Time Soil Nitrate Monitoring In Cotton Rhizosphere, Mohammad Solaiman, Elvis D. Sangmen, Ali Reza Galib, Tushar C. Sarker, Anil C. Somenahally, Shawana Tabassum

Electrical Engineering Faculty Publications and Presentations

Soil nitrate (NO3) exhibits rapid spatial and temporal variability that conventional point-sampling methods cannot effectively capture, limiting timely nutrient management and plant stress detection. This study aimed to validate a low-cost, threedimensional- printed electrochemical NO3 sensor for continuous in-soil monitoring and to evaluate whether sensor-derived NO3 dynamics reflect plant physiological responses. For this purpose, cotton (Gossypium hirsutum L.) plants were grown in pots under greenhouse conditions. The sensor was evaluated in two sequential phases: an initial calibration phase to characterize sensor response across a broad NO3 concentration range, followed by a validation phase in the cotton plant rhizosphere. In the …

Estimation Of Persistent Inward Currents Contribution To Inspiratory Motoneuron Firing In Humans, Ricardo N.O. Mesquita, Simon C. Gandevia, Janet L. Taylor, Anna L. Hudson, Jane E. Butler

Research outputs 2022 to 2026

Persistent inward currents (PICs) are known to prolong firing of limb-muscle motoneurons. Although there is immunohistochemical evidence of PIC channels in respiratory motoneurons, it is unknown whether PICs contribute to their firing prolongation. Intramuscular electromyographic signals were recorded from human inspiratory muscles to identify motor unit (MU) activity. Diaphragm MUs were identified during quiet breathing (n = 7; one female) and MUs from the 1st, 3rd, and 5th parasternal intercostal muscles during quiet (no lung volume feedback) and voluntary (triangular-shaped lung volume feedback) breathing (n = 5 males). PIC contribution to firing prolongation was estimated via quantification of firing hysteresis …

Evaluating Fish Assemblages At An Early-Stage Living Shoreline Project In Lake Pontchartrain, Collin Glaser

LSU New Orleans Theses and Dissertations

Living shorelines are an increasingly popular restoration approach for reducing erosion while improving habitat quality. The Bucktown Living Shoreline Project is a large-scale restoration effort along the southern shore of Lake Pontchartrain aimed at enhancing coastal resilience and restoring historic marsh habitat. This thesis evaluated early fish assemblage response to the Bucktown Living Shoreline Project over one year and placed those assemblages within the broader historical context of Lake Pontchartrain. Monthly sampling was conducted at the living shoreline and an adjacent riprap control site using seines, cast nets, and minnow traps. Fish assemblage structure was not significantly different between sites. …

Definitions And Mathematical Models Of Op Variants, Pieter Vansteenwegen, Aldy Gunawan

Research Collection School Of Computing and Information Systems

We have described the basic orienteering problem (OP) in Chap. 2, as one known variant of the single vehicle routing problems with profits (VRPP). In this chapter, we introduce the best-known variants of the OP. The first one is the team orienteering problem (TOP). In the TOP multiple routes can be composed to visit a subset of customers. In the context of the game of orienteering, the TOP corresponds to several players of the same team, each collecting profits in parallel, during the same time span. Another well-known variant of the basic OP is the OP with time windows (OPTW), …

Efficient Test-Time Retrieval Augmented Generation, Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Although Large Language Models (LLMs) demonstrate significant capabilities, their reliance on parametric knowledge often leads to inaccuracies. Retrieval Augmented Generation (RAG) mitigates this by incorporating external knowledge, but these methods may introduce irrelevant retrieved documents, leading to inaccurate responses. While the integration methods filter out incorrect answers from multiple responses, but lack external knowledge like RAG methods, and their high costs require balancing overhead with performance gains. To address these issues, we propose an Efficient Test-Time Retrieval-Augmented Generation Framework named ET2RAG to improve the performance of LLMs while maintaining efficiency. Specifically, ET2RAG is a training-free method, that first retrieves the …

Wevit: Weight-Entangled Vision Transformers With Class-Specific Attention For Weakly Supervised Semantic Segmentation, Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Shady Mohamed

Research outputs 2022 to 2026

Weakly Supervised Semantic Segmentation (WSSS) is a challenging task in computer vision, as it relies on limited supervision to generate precise object localization maps, often using Class Activation Maps (CAMs). Traditional methods struggle with balancing localization accuracy and scalability due to their reliance on fixed network architectures and handcrafted strategies. Neural Architecture Search (NAS), despite its proven success in optimizing network designs across tasks, has not yet been explored in WSSS due to the need for efficient weight sharing. To address these limitations, we propose WEViT, a novel framework that integrates NAS with transformers to optimize network architectures and generate …

Greenhouse Gas Flux Response In Biochar- And Compost-Amended Lawn Soils Under Simulated Water Saturation Conditions, Angel Salinas, Chu-Lin Cheng, Engil Pereira, Rafael M. Almeida, James Jihoon Kang

School of Earth, Environmental, & Marine Sciences Faculty Publications

Understanding greenhouse gas emission dynamics in lawn soils is important for improving climate change mitigation strategies in urban and suburban landscapes. In this greenhouse mesocosm study, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes were measured from 12 turfgrass soil columns arranged in an unreplicated, completely randomized 4 × 3 factorial design. Four amendment treatments (biochar, compost, bio-com [1:1 volume ratio of biochar and compost], and unamended control) were combined with three water-table conditions (full saturation, half saturation, and unsaturated), with a single column representing each treatment combination. Columns were irrigated at 1 cm day−1 for 24 days, …

From Algorithm To Alarm: A Narrative Review On Insulin Delivery Innovation, Noor Ul Asaleem, Faraz Arshad, Maria Qadri, Muhammad Saqlain Mushtaq, Mishaim Khan, Pakeeza Shakoor, Tirath Patel, Anaya Noor, Nikhilesh Anand

School of Medicine Publications

Background and objective: The global rise in the incidence of diabetes mellitus necessitates innovative management strategies to mitigate the severity of the disease. The mainstay of diabetes treatment is still insulin therapy, although there are drawbacks, such as the need to maintain ideal glycemic control while lowering the risk of hypoglycemia and user fatigue. The development, clinical usefulness, and constraints of insulin delivery systems are examined in this narrative review, with particular attention to sensor-augmented and closed-loop technologies.

Methods: A thorough electronic database search was conducted to obtain pertinent data on major insulin delivery devices, including sensor-augmented and closed-loop systems. …

Non-Uniform Mixing Of Quantum Walks On The Symmetric Group, Avah Banerjee

Computer Science Faculty Research & Creative Works

It is well-known that classical random walks on regular graphs converge to the uniform distribution. Quantum walks, in their various forms, are quantization's of their corresponding classical random walk processes. Gerhardt and Watrous (2003) demonstrated that continuous-time quantum walks do not converge to the uniform distribution on certain Cayley graphs of the Symmetric group, which by definition are all regular. In this paper, we demonstrate that discrete-time quantum walks, in the sense of quantized Markov chains as introduced by Szegedy (2004), also do not converge to the uniform distribution. We analyze the spectra of the Szegedy walk operators using the …

Paleolimnology And Diatom Taxonomy From Lake Tanganyika, Sristika Adhikari

All-Inclusive List of Electronic Theses and Dissertations

Lake Tanganyika is one of the world's largest freshwater ecosystems, supporting rich aquatic biodiversity and providing several ecosystem services to surrounding communities. Environmental changes such as rising lake surface temperatures, pollution, and land-use alterations threaten the lake’s sustainability. This research examines spatial and temporal variations in nutrient dynamics and primary productivity of Lake Tanganyika using diatom assemblages from multiple locations. Our findings indicate reduced nutrient levels and longer stratification periods in the lake’s central basin during most of the Common Era, as indicated by a remarkable increase in the relative abundance of long, needle-shaped planktonic Nitzschia species. In the southern …

The Joint Effect Of Bilingualism And Sleep On Executive Functions Among Children And Adolescents With Attention Deficit/Hyperactivity Disorder (Adhd), Yirou Jiang

Doctoral Dissertations

Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that significantly impacts cognitive and behavioral functions, leading challenges for individuals across the lifespan. While extensive research has been conducted to understand the connection between executive functioning (EF) and ADHD, research findings related to the contributing factors of bilingualism and sleep still remains inconsistent (Bialystok et al., 2017). Investigating the joint effect between bilingualism and sleep on EF among children and adolescents with ADHD may help further clarify the connection between EF, language, and sleep, and facilitate the development of interventions from the perspective of these protective factors. EF encompasses cognitive processes …

Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante

Theses

Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …

Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner

Theses

While a strong history of computer development has maximized architecture performance, modern computing is fundamentally constrained by thermal limits and power consumption. This is especially true in power sensitive edge applications, which often have low activity. Asynchronous architectures offer a pathway to take advantage of sparsity within hardware to drastically reduce dynamic power through fine-grain selective activation of only necessary hardware. Despite these advantages, the semiconductor industry relies heavily on Electronic Design Automation (EDA) toolchains, which have been developed with many synchronous assumptions. The traditional overhead and strict incompatibility with standard EDA toolchains have limited adoption of asynchronous technologies in …

Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha

Theses

Functional verification often takes more effort than designing the system itself, especially when the design departs from the synchronous, globally clocked style that verification tools assume. Asynchronous or clockless circuits are an example of this. They use local request and acknowledge handshaking instead of a global clock, which reduces dynamic power and eliminates clock-distribution and skew problems. However, this also means that standard verification methods that rely on a single periodic clock no longer apply. This thesis introduces a constrained-random, coverage-driven verification environment for a four-stage asynchronous RISC-V processor. The environment is built in SystemVerilog using the Universal Verification Methodology …

Characterizing Heavy Water Displacement In Molecular Sieve Drying Beds For Practical Trace Tritium Capture Methods, Brandon M. Massett

Theses

Tritium plays a crucial role in nuclear fusion power plant designs, and adsorption beds are essential tools for managing tritiated water vapor. A series of tests was performed to investigate whether a saturated adsorption bed preferentially adsorbs heavy water vapor. The design of passive tritium control systems could potentially rely on adsorption beds preferentially trapping heavier isotopologues of water. This work investigates the displacement phenomenon and the effects of carrier gas superficial velocity on bed performance. Significant displacement was observed when a humid stream containing heavy water was diverted through a bed pre-saturated with light water, as indicated by changes …

Beyond Conventional Construction A Sustainability Assessment Of 3d-Printed Concrete For Multi-Family Housing, Jennifer Candelier

Theses

The construction industry continues to face significant challenges, including labor shortages, increasing housing demand, rising material costs, and pressure to reduce environmental impacts. Three-dimensional printed concrete (3DPC) has emerged as a potential alternative to conventional construction methods by improving automation, material efficiency, and construction productivity. However, existing research has focused primarily on single-family applications, leaving limited understanding of its feasibility for multi-family residential construction. This study evaluates whether 3D printed concrete can become a standardized construction method for multi-family residential buildings by comparing it with conventional concrete masonry unit (CMU) construction. A comparative, performance-based methodology was developed using two equivalent …

Population Inference Of Compact Binaries With Eccentricity, Muhammad Zeeshan

Theses

Gravitational waves opened a new window to study the properties of compact binary systems, providing insights into their astrophysical formation and evolution. Initially, population studies relied on mass and spin distributions to distinguish between isolated, dynamical, and hierarchical merger channels; however, orbital eccentricity offers a complementary probe of binary formation scenarios. Historically, eccentricity received limited attention due to the lack of eccentric wave- form models and the absence of strong observational evidence within the LIGO–Virgo–KAGRA sensitivity band. A growing catalog, recent advances in eccentric waveform modeling, and analyses reporting candidates consistent with non-zero eccentricity motivate a systematic population-level study with …

Quantitative Imaging Of Pyruvate Metabolism In A Patient With Anaplastic Thyroid Cancer, James A Bankson, Joshua S Niedzielski, Collin J Harlan, Yunyun Chen, Christopher M Walker, Philip L Lorenzi, Lin Tan, Vikas Kundra, Matthew E Merritt, Mukundan Ragavan, Dawid Schellingerhout, Renjie He, Yao Ding, Sahana Datar, Qing Wang, Christine B Peterson, Clifton D Fuller, Vlad C Sandulache, Stephen Y Lai

Faculty, Staff and Students Publications

Purpose: Magnetic resonance imaging using hyperpolarized (HP) [1-13C]-pyruvate enables assessment of pyruvate metabolism in vivo and offers new insight into metabolic changes in response to cancer therapy. Widely used semi-quantitative metrics of pyruvate metabolism can be affected by physiological factors that are extrinsic to intracellular metabolism. A validated pharmacokinetic (PK) model for analysis of intracellular pyruvate metabolism is needed to enhance the accuracy of quantitative metrics and clinical translation of metabolic MRI using HP pyruvate.

Methods: A PK model with two physical compartments and two chemical pools was developed to analyze the conversion of labeled pyruvate into lactate in vitro. …

Cost-Effectiveness Of Hes V2.0 And Galad For Hepatocellular Carcinoma Surveillance In Patients With Cirrhosis, Mert Sahinkoc, Gizem S Nemutlu, Hashem B El-Serag, Mary Linton B Peters, Ali Hajjar, Anthony E Samir, Leigh Anne Dageforde, Fasiha Kanwal, Jagpreet Chhatwal

Faculty, Staff and Students Publications

Background: Ultrasound-based surveillance for HCC is limited by suboptimal sensitivity and low adherence. Blood-based biomarkers are potential alternatives for routine HCC surveillance. We aimed to define optimal sensitivity, specificity, and cost parameters under which blood-based biomarkers could serve as cost-effective alternatives in patients with cirrhosis.

Methods: We developed a microsimulation model of the natural history of HCC in individuals with compensated cirrhosis. We compared the cost-effectiveness of biannual surveillance using 2 blood-based biomarkers-HES V2.0 and GALAD-versus ultrasound-based surveillance across a range of sensitivity, specificity, test costs, and adherence levels. Outcomes included quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios …

The Role Of Local Winds And A Semi-Persistent Coastal Front On The Diurnal Heat Budget In An Upwelling Bay, April P. Thibodeau, Ryan K. Walter, Piero L.F. Mazzini, Thomas P. Connolly, Christopher A. Edwards, Ian Robbins

Faculty Research, Scholarly, and Creative Activity

Coastal embayments in nearshore upwelling systems (“upwelling bays”) play a disproportionately large role in regional oceanography. In these systems, local diurnal wind forcing and thermal gradients associated with an upwelling shadow front that forms between warmer sheltered waters inside the bay and colder recently upwelled waters outside the bay strongly influence local temperature dynamics. Despite their importance to local ecosystems, there are no long-term studies that assess the heat budget inside upwelling bays. In this study, we analyzed approximately two years of water temperature throughout the water column using an autonomous profiler in a small upwelling bay in central California …