Digital Commons Network^™

A Study Of Prompt Tuning On Small Language Models(Slms): A Controlled Benchmark And A Lightweight Instance-Aware Method, Narkadamilli Sahith

Master’s Dissertations

Parameter-efficient fine-tuning (PEFT) adapts a frozen pre-trained language model by training only a small number of additional parameters. Among PEFT approaches, prompt tuning prepends trainable continuous vectors (soft prompts) to the input. A recurring finding in the literature is that prompt tuning is strongly scale dependent: it rivals full fine-tuning on very large models but lags on smaller ones. This dissertation studies prompt tuning specifically in the small-language-model (SLM) regime. We (i) re-implement a representative set of prompt-tuning methods—Prompt Tuning, P-Tuning v2, LoPT, DPT, DePT, ACCEPT, Residual Prompt Tuning, and PARA—within a single controlled harness, enabling a fair head-to-head comparison …

Effects Of Peer Tutoring Training Duration And Group Piano Level On Harmonization And Transposition Achievement And Learning Attitudes Of Undergraduate Non-Keyboard Music Students, Jinnan Liu

LSU Doctoral Dissertations

The purpose of this study was to examine the relationships among peer tutoring training duration, group piano level, and undergraduate non-keyboard music students’ achievement in harmonization and transposition, as well as their learning attitude following peer tutoring. Based on the literature on cooperative learning, peer-assisted learning, and reciprocal peer tutoring, this study examined whether differences in training duration and group piano level were related to student performance and learning experiences in university group piano.

A quasi-experimental 2  2 design was used. The independent variables were peer tutoring training duration (2-day vs. 4-day) and group piano level (Group Piano II vs. …

Effects Of Repetitive Peripheral Magnetic Stimulation On Poststroke Ankle Spasticity: A Double-Blind Randomized Controlled Trial, Hüseyi̇n Oğuzhan Aslantaş, Şehi̇m Kutlay, Haydar Gök, Semra Özkan, Seçi̇lay Güneş, Ati̇lla Hali̇l Elhan

Turkish Journal of Medical Sciences

Background/aim: Repetitive peripheral magnetic stimulation (rPMS) is a noninvasive, painless therapy aimed at improving spasticity, with a proposed mechanism that involves neuromodulation through somatosensory and proprioceptive afferent stimulation. The present study evaluates the effectiveness of rPMS on ankle plantar flexor spasticity in participants with stroke.

Materials and methods: Included in this prospective, double-blind, randomized, sham-controlled study were 50 participants with poststroke ankle plantar flexor spasticity graded 1–3 according to Modified Ashworth Scale (MAS). Participants were randomized into rPMS (n = 25) and sham (n = 25) groups. All participated in a conventional rehabilitation program, while the rPMS group received 10 …

Serum Angiopoietin-1 And Angiopoietin-2 Levels In Turkish Patients With Behçet’S Disease: Associations With Clinical Manifestations And Inflammatory Markers, Sercan Gücenmez, Hakan Emmungi̇l, Fi̇gen Yargucu Zi̇hni̇, Gökhan Keser, Kenan Aksu

Turkish Journal of Medical Sciences

Background/aim: Emerging evidence suggests that dysregulated angiogenesis may contribute to the pathogenesis of Behçet’s disease (BD). This study primarily aimed to investigate serum angiopoietin-1 (Ang-1) and angiopoietin-2 (Ang-2) levels in Turkish patients with BD and compare them with healthy controls. The secondary aims were to compare angiopoietin levels based on clinical manifestations, disease activity, and medication use and to investigate their correlations with age, disease duration, and inflammatory markers.

Materials and methods: This cross-sectional study included 56 consecutive patients with BD, diagnosed according to International Study Group criteria, and 56 age- and sex-matched healthy controls. Physical characteristics, clinical manifestations, time …

Impact Of Transforaminal Epidural Steroid Injection On Pain, Disability, And Kinesiophobia In Lumbar Disc Herniation With Radicular Pain, Hande Ece Öz, Rumeysa Çeti̇nkaya Bulutoğlu, Furkan Çeti̇n, Ezgi̇ Can, Alp Eren Çelenli̇oğlu, Ender Si̇r

Turkish Journal of Medical Sciences

Background/aim: The aim was to evaluate the effect of single-level transforaminal epidural steroid injection (TFESI) on kinesiophobia (KP) in patients with lumbar radicular pain (RP) caused by single-root, single-level lumbar disc herniation (LDH).

Materials and methods: A total of 63 patients diagnosed with unilateral single-level radicular pain due to LDH and treated with single-level TFESI were included. The Numeric Rating Scale (NRS), modified Oswestry Disability Index (MODI), Tampa Scale of Kinesiophobia (TSK), and Neuropathic pain (NP)-Douleur Neuropathique 4 Questionnaire (DN4) were used before the procedure and at 3 weeks and 3 months postoperatively.

Results: At baseline, 76.19% (n = 48) …

Reliability And Validity Of The Turkish Version Of The Barthel Index-Dyspnea In Patients With Pulmonary Hypertension, Pinar Merç, Rengi̇n Demi̇r, Meli̇h Zeren, Habi̇be Durdu, Ümi̇t Yaşar Si̇nan, Mehmet Serdar Küçükoğlu

Turkish Journal of Medical Sciences

Background/aim: The Barthel Index-dyspnea (BI-d) is a respiratory disease-specific tool developed on the basis of the Barthel Index (BI), which provides a simple and quick way to measure the degree of dyspnea in activities of daily living (ADL). Dyspnea is one of the most common symptoms of pulmonary hypertension (PH). The objective of this study was to explore the reliability and validity of the Turkish version of the BI-d in patients with PH.

Materials and methods: A total of 73 PH patients were included in the study. Criterion validity was explored using the modified Medical Research Council (mMRC) dyspnea scale, …

Optimistic And Ambivalent Attitudes Toward Clinical Artificial Intelligence, Sevi̇l Uygun İli̇khan, Si̇nem Ülke, Mahmut Özer, Matjaž Perc, Yavuz Ayhan

Turkish Journal of Medical Sciences

Background/aim: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; however, healthcare professionals’ knowledge, attitudes, and perceptions regarding AI remain insufficiently understood. This study aimed to evaluate healthcare professionals’ perceptions of AI in clinical practice.

Materials and methods: This descriptive cross-sectional study included 260 healthcare professionals, including physicians, nurses, and healthcare technicians working at a tertiary public hospital in Türkiye. Participants completed the Healthcare Professionals and Artificial Intelligence Questionnaire, which assessed demographic characteristics, AI knowledge, workplace AI use, attitudes toward AI applications, ethical and legal concerns, perceived professional impact, and educational needs.

Results: Most participants reported limited AI knowledge; …

Letter To The Editor: Telemedicine Versus Conventional Care For Nonspecific Neck Pain: A Randomized Controlled Study, Gülsemi̇n Ertürk Çeli̇k

Turkish Journal of Medical Sciences

No abstract provided.

What Do Highly Successful Families Of Faith Teach Us About Trust?, Caleigh E. B. Kerr

Undergraduate Honors Theses

This study examined trust among diverse families of Abrahamic faiths across the United States. The 292 families who were part of this national study represent significant religious breadth (over 20 total denominations), geographic scope, and racial diversity, with 51% of the participants being racial/ethnic minorities. Married participants had at least one child. Education levels of participants ranged from G.E.D to Ph.D., with varying socioeconomic statuses. Semi-structured interviews were conducted with participants. Couples were hand-chosen by their respective religious leaders as being both relational and religious exemplars.

Using the qualitative responses of participants, a word search was conducted. Responses relevant to …

Third Space Thinking In The Secondary School Writing Center: A Model For A More Just Approach To Education, Annika Peacock

Undergraduate Honors Theses

This thesis examines the ways that Homi Bhabha’s postcolonial Third Space theory aligns with writing centers, and more specifically writing centers in secondary schools. The thesis introduces Third Space theory in six characteristics and the ways that writing centers are Third Spaces. Next, through content analysis, 25 mission statements from secondary school writing centers are qualitatively coded to reveal what writing centers prioritize and understand about their center. The thesis finishes with a framework called Third Space thinking, providing examples of how writing centers as Third Spaces can help to develop a more just and equitable educational experience for students …

Reproducing And Analyzing The “Lost In The Middle” And “The Power Of Noise” Phenomenon In Retrieval-Augmented Generation, Kousik Samanta

Master’s Dissertations

Retrieval-Augmented Generation has become the way to improve Large Language Models. They help with problems like knowledge and hallucinations. Recent studies show that these models still have limitations. One big problem is the “Lost in the Middle” phenomenon. Models can’t access information in the middle of contexts properly. Another counterintuitive observation is the “Power of Noise” paradigm, which suggests adding unrelated documents can actually make the generation better. We know these happen in extractive QA tasks, but we don’t know if they happen in tasks that need complex reasoning. This dissertation looks into how position and noise affect Long-Form Question …

Learning To See Lesions, Not Skin Tone: Counterfactual Multimodal Learning For Fair, Trustworthy, And Text-Free Dermatology Ai, Shivam Jangid

Master’s Dissertations

Recent advances in deep learning have significantly improved the performance of automated skin lesion classification systems, enabling accurate detection of various dermatological conditions from medical images. Despite these achievements, concerns regarding fairness and generalization remain a major challenge for the deployment of such systems in real-world clinical settings. A key factor contributing to these challenges is the presence of bias in training datasets, particularly with respect to skin-tone representation. Most publicly available skin lesion datasets contain a disproportionate number of samples from individuals with lighter skin tones. As a result, deep learning models trained on these datasets often learn representations …

Adaptive Spectral Trust Gate For Physics- Constrained Operator Learning, Soham Chakraborty

Master’s Dissertations

Physics-informed machine learning improves the plausibility, data-efficiency and generalization of surrogate models by injecting prior physical knowledge into the learning process. The current approaches can be broadly divided into two main categories: soft constraints, which add a physics residual to the training loss but guarantee nothing at inference time, and hard constraints, which project the model output onto the constraint set exactly but apply the projection uniformly to every part of the signal — including parts that are dominated by noise, discretization error, or model mismatch, where the idealized physics is not actually trustworthy. This dissertation proposes the Adaptive Spectral …

Deep Reinforcement Learning With Directed Asymmetry And Kolmogorov-Arnold Networks For Dismantling Interdependent Multiplex Networks, Soumyajit Dev

Master’s Dissertations

Identifying the minimum-cost node-removal sequence that fragments a complex network - the network dismantling problem is NP-hard and central to infrastructure resilience. In interdependent multiplex networks, this difficulty is compounded by cascading cross-layer failures. While deep reinforcement learning (DRL) agents utilizing graph neural network (GNN) encoders achieve near-optimal dismantling, current state-of-the-art architectures suffer from two critical limitations. Topologically, existing agents strictly assume undirected edges, rendering them inapplicable to directed systems - such as supply chains or gene regulatory cascades - where failure propagation is fundamentally asymmetric. To resolve this, we propose Disassembling Directed Interdependent Networks (DDIN). DDIN introduces an asymmetric …

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.

Interseismic Creep Along The Enriquillo–Plantain Garden Fault, Haiti, Estimated From Insar, Rishabh Dutta, Jeremy L. Maurer, Yi Chieh Lee

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left-lateral strike-slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust-slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2017 to 2021 using a PS + DS (persistent + distributed scatterers) InSAR time-series approach to overcome decorrelation in this highly vegetated region. We reveal interseismic creep along the EPGF and adjacent Grand'Anse–Sud border faults, with pure strike-slip mechanism and rates up to 9 mm/yr. We suggest …

Trophic Transfer Of Fluorescent Polyethylene Microplastics In A Simplified Artemia–Oreochromis Aquatic Food Chain, Dativa J. Shilla

Tanzania Journal of Science

Microplastics (MPs) are pervasive contaminants in aquatic ecosystems, yet experimental evidence of their trophic transfer within tropical African food webs remains scarce. This study provides experimental evidence of indirect trophic transfer of microplastics from Artemia salina to Oreochromis urolepis, a cichlid species of ecological and economic importance in African inland and coastal waters. A simplified two-level food chain was established by exposing A. salina nauplii to fluorescent polyethylene microplastics (10–20 µm; 1, 10, and 100 mg L⁻¹) and subsequently feeding them to juvenile O. urolepis under controlled laboratory conditions. These concentrations were selected to represent a range of exposure levels …

Applying Theory Of Planned Behavior To Examine Adolescent Female Athletes’ Intentions Of Continued Sport Participation, Chris Hopkins, Casey S. Hopkins

Open Access Fund Publications

Introduction: Adolescent females discontinue sports at higher rates than males, which contributes to their lower overall physical activity during this important period of development. Potentially useful for understanding this disparity, the Theory of Planned Behavior (TPB) provides a framework to study one's intentions through their attitudes, subjective norms, and perceived behavioral control. This study examined whether TPB constructs predict female adolescents’ intentions to continue participating in sports and remain physically active.

Methods: This cross-sectional study used an online questionnaire to collect data from 271 female adolescents who recently participated in organized sports. Structural equation modeling was used to test TPB's …

Load Profile Analysis And Forecasting For Rural Mini Grids In Uganda, Prossy Mutesi, Santos L. Kihwele, Emmanuel S. Matee

Tanzania Journal of Science

Accurate load forecasting is essential for the reliable and cost-effective operation of rural mini grids, where constrained generation capacity and high penetration of renewable energy resources require well-informed operational decisions. This study examines electricity demand characteristics and forecasting performance for the Buzaami and Ssenyondo mini grids in Uganda, with particular focus on diurnal load profiles, peak demand behavior, and seasonal variability. 2022 operational data show extended peak demand from early morning to late evening, driven by socio-economic activities that strain resource scheduling and reliability management. To address these challenges, the study evaluates and compares Long Short-Term Memory (LSTM) networks, fuzzy …

A System For The Prediction Of Election Results Using Vader And Hybridized Machine Learning Model, Abraham E. Evwiekpaefe, Khadijah Kabir, Georgina N. Obunadike

Tanzania Journal of Science

Integrating different classifiers along with sentiment lexicons like Vader, can enhance the performance of sentiment analysis systems. However, such a hybrid model remains underexplored, particularly in the context of regional elections in developing countries like Nigeria. The aim of this research is to develop a hybrid model that combines three machine learning classifiers and Vader lexicon to possibly achieve a higher accuracy. A case study of the 2023 governorship election in Kogi, Bayelsa and Imo State, Nigeria was examined. Twitter API library was utilized to extracted public and personal tweets using hashtags and keywords related to the target data from …

Optimization Of Bio-Briquettes Production From Cassava Stems Co-Blended With Sisal Bole Bagasse Using Response Surface Methodology, Agnes Nshoma Msobi, Neema O. Msuya, Kando Khalifa Janga

Tanzania Journal of Science

This research aimed at producing bio-briquettes from cassava stems and sisal bole bagasse as an alternative source of cooking energy. A Response Surface Methodology (RSM) with Face - Centered Central Composite Design (FCCCD) featured a multi-objective optimization of the effect of the production parameters, focusing on maximizing char yield and Higher Heating Value (HHV) of the produced briquette while minimizing carbonization temperature and residence time. The findings showed that bio-briquettes produced at the lowest temperature (250 ℃) and residence time (30 min) and the blending ratio of 75% by 25% had the highest char yield of 76.92% and HHV of …

Extraction Of High-Quality Cashew Nutshell Liquid Using Carbon Dioxide-Expanded Hexane, Frank N. Jacob, Neema Msuya, Joseph Y.N Philip, Kando Khalifa Janga

Tanzania Journal of Science

Cashew nutshell liquid (CNSL) is a by–product from cashew processing industries containing four naturally occurring phenolic compounds. This study investigated an extraction approach using CO2–expanded hexane. The central composite design (CCD) was employed in experimental design to investigate the effects and interaction of CO 2 mole fractions and extraction temperature on the CNSL yield and quality (Colour) from Steamed CNSL. The dissolution power of the CO2–expanded hexane was assessed by determining the solubility of CNSL during the initial stages of extraction at different extraction conditions. Findings indicated that higher CO2 mole fractions reduced CNSL solubility, while higher temperatures enhanced it. …

Caregiver-Implemented Functional Analysis Of Moderate-To-Vigorous Physical Activity Of Children, Rachel B. Riccardo

USF Tampa Graduate Theses and Dissertations

Most children do not currently meet the 60 min per day recommendation for moderate-to-vigorous physical activity (MVPA), which could lead to problematic health outcomes. Researchers have used behavioral assessments (i.e., functional analysis [FA]) to identify the maintaining variables (e.g., attention, interactive play) that produce elevated levels of MVPA. The purpose of this study was to evaluate the extent to which a caregiver-implemented FA can identify the function of their child’s MVPA. All three participants engaged in elevated levels of MVPA when adult interaction and attention were delivered contingently. The results of this study showed that caregivers implemented FAs of MVPA …

How Location-Allocation Modelling Can Be Used To Site Pet-Friendly Evacuation Shelter Locations For Pet Owners In Hillsborough County, Florida: An Exploratory Study, Sarah A. Shaughnessy

USF Tampa Graduate Theses and Dissertations

Florida has been hit by some of the most destructive tropical cyclones in North America due to its relative location to the Gulf and Atlantic Ocean. Florida’s population growth since the 2000’s and the increased frequency of stronger storms because of climate change have made numerous emergency management leaders throughout the state get evacuation shelter networks established for public safety. However, the existing shelter network in Hillsborough County has become inadequate to satisfy the unprecedented population growth in that specific area since the COVID-19 pandemic and there’s a need for new shelter locations to better accommodate the growth when a …

The Long-Term Biological Toll Of Adverse Childhood Experiences And The Role Of Psychological Resilience, Jill Krier Desch

USF Tampa Graduate Theses and Dissertations

Adverse childhood experiences (ACEs) are preventable, potentially traumatic events that occur before age 18 such as physical, sexual, and emotional abuse, neglect, and household instability and are associated with the leading causes of adult morbidity and mortality in the United States. The mechanisms underlying these associations are not yet fully understood, but the link between ACEs, chronic stress, and allostatic load is one potential pathway. Although ACEs are associated with the leading causes of adult morbidity and mortality, many individuals continue to lead healthy lives through adulthood despite exposure to ACEs. This dissertation used data from Waves I – V …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Direct Minimization Of Hartree-Fock-Roothaan Energy Functionals Using Derivative-Free Optimization Algorithms: A Case Study On The Use Of Noninteger Slater-Type Orbitals, Ali̇ Bağci

Turkish Journal of Physics

This study presents an evaluation of derivative-free optimization algorithms for the direct minimization of Hartree−Fock−Roothaan energy functionals involving nonlinear orbital parameters and noninteger-order quantum numbers. The analysis focuses on atomic calculations employing noninteger Slater-type orbitals. Analytic derivatives of the energy functional are not readily available for these orbitals. Four methods are investigated under identical numerical conditions: Powell’s conjugate−direction method, the Nelder−Mead simplex algorithm, coordinate-based pattern search, and a model-based algorithm utilizing radial basis functions for surrogate-model construction. Performance analysis is first carried out using the Powell singular function, a well-established test case exhibiting challenging properties, including Hessian singularity at the …

Analytical Eigenmode Framework For Triplet-Mediated Fluorescence Dynamics Under Pulsed Excitation, Bariş Demi̇rbay

Turkish Journal of Physics

An exact analytical solution to a three-state photophysical model is presented to explicitly map the time-resolved fluorescence dynamics of a fluorophore under pulsed excitation. As distinct from earlier analytical treatments that primarily focused on transient absorption and total ground-state depletion, the proposed eigenvalue-eigenvector framework captures both transient and steady-state emission responses. The photophysical model accounts for electronic transitions between the singlet ground state, the excited singlet state and a long-lived triplet state, enabling a treatment of excitation, radiative decay, intersystem crossing, together with triplet-state relaxation. By diagonalizing the rate matrix consisting of phenomenological transition rates, closed-form expressions for the time-dependent …

Coupling A Discrete State To A Quasi-Continuum: A Model Quantum-Mechanical System That Interpolates Between Rabi Oscillations And Decay-Revival Dynamics, Enes Kutay İşgörür, Osman Cevheroğlu, Arkadaş Özakin

Turkish Journal of Physics

We formulate a quantum-mechanical system consisting of a single discrete state coupled to an infinite ladder of equally spaced states, with the coupling described by a Lorentzian profile. Various limiting cases of this system correspond to well-known models in quantum optics: the narrow-resonance limit yields the Rabi model, the wide-resonance limit yields the Bixon--Jortner model, the wide-resonance true continuum limit yields the Wigner--Weisskopf model, and the fixed-resonance true continuum limit yields a system typically studied using methods developed by Fano. We obtain a semianalytical solution to the eigenvalue problem by reducing it to a transcendental equation and demonstrate the limiting …

Breaking The Ideal: Viscosity, Nonlinearity, And Transience In Wave Attractors, Stepan Elistratov, Ivan But

Turkish Journal of Physics

Wave attractors in viscous media exhibit laminar or turbulent behavior, dictated by the intensity of the external forcing. Laminar attractors are often assumed to behave as linear systems. However, existing studies typically focus on fully developed flows, neglecting the dynamic formation process of these attractors. This simplification overlooks crucial transient phenomena that govern their emergence and stability. In this paper, first, we investigate unconventional wave attractor configurations subjected to forcing with a complex spectrum, which lead to early nonlinearity demonstration. Next, we focus on the transient processes of attractor formation and destruction, providing insights into their dynamic evolution. Furthermore, we …