White Matter Abnormalities And Cognition In Aging And Alzheimer Disease, Christopher Peter, Aditi Sathe, Niranjana Shashikumar, Kimberly R Pechman, Abigail W Workmeister, T Bryan Jackson, Yuankai Huo, Shubhabrata Mukherjee, Jesse Mez, Logan C Dumitrescu, Katherine A Gifford, Corey J Bolton, Leslie S Gaynor, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun-Turgut, Mohamad Habes, Di Wang, Arthur W Toga, Paul M Thompson, Panpan Zhang, Kurt G Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Barbara B Bendlin, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Paul K Crane, Michael L Cuccaro, Timothy J Hohman, Derek B Archer, Dimitrios Zaras, Yisu Yang, Alaina Durant, Praitayini Kanakaraj, Michael E Kim, Chenyu Gao, Nancy R Newlin, Karthik Ramadass, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Seo-Eun Choi, Brandon Klinedinst, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Elizabeth A Sanders

Faculty, Staff and Student Publications

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design setting and participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were …

The Significance Of Detecting An Unusual Myeloblast Immunophenotype In A Presumptive Clinical Diagnosis Of Myelodysplastic Syndromes, Fnu Sameeta, Wei Wang, Fatima Zahra Jelloul, Okechukwu V Nwogbo, Beenu Thakral, Jie Xu, Shaoying Li, Chi Young Ok, Guilin Tang, Fuli Jia, L Jeffrey Medeiros, Sanam Loghavi, Jeffrey L Jorgensen, Sa A Wang

Faculty, Staff and Student Publications

Context.—: Blasts in myelodysplastic syndromes (MDSs) typically have a primitive myeloid immunophenotype (CD34+CD117+CD13+CD33+HLA-DR+). On rare occasions, blasts were found to be CD34 negative or minimally expressed in a presumptive MDS.

Objective.—: To investigate the occurrence of these cases, and to examine any unique molecular genetic features, and clinical relevance.

Design.—: More than 2000 flow cytometry immunophenotyping tests for MDS performed during a 5-year period were retrospectively reviewed. Chronic myelomonocytic leukemia and overt acute myeloid leukemia (AML) (≥20% blasts) were excluded.

Results.—: Approximately 800 cases had abnormal myeloblasts consistent with myeloid neoplasms; 96% of cases showed a typical primitive phenotype, but …

Bard: A Seamless Two-Stage Dose Optimization Design Integrating Backfill And Adaptive Randomization, Yixuan Zhao, Rachael Liu, Jianchang Lin, Ying Yuan

Faculty, Staff and Student Publications

One common approach for dose optimization is a two-stage design, which initially conducts dose escalation to identify the maximum tolerated dose, followed by a randomization stage where patients are assigned to two or more doses to further assess and compare their risk-benefit profiles to identify the optimal dose. A limitation of this approach is its requirement for a relatively large sample size. To address this challenge, we propose a seamless two-stage design, BARD (Backfill and Adaptive Randomization for Dose Optimization), which incorporates two key features to reduce sample size and shorten trial duration. The first feature is the integration of …

Dynamic Long-Term Prediction With Intermediate Event Information: A Flexible Model With Bivariate Time-Varying Coefficients, Yunyi Wang, Wen Li, Ruosha Li, Jing Ning

Faculty, Staff and Student Publications

The integration of time-to-intermediate event data and the evolving characteristics of patients to enhance long-term prediction has garnered significant interest, driven by the wealth of data generated from longitudinal cohorts. In this paper, we propose sequential/dynamic prediction rules by using regression models with time-varying coefficients. We introduce a class of dynamic models that not only incorporates intermediate event information but also leverages information across different landmark times. To address the challenge of right-censoring, we employ an inverse weighting technique in the estimation process. We establish the asymptotic properties of the estimated parameters and conduct extensive simulations to assess the finite …

Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States, Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

Multiple myeloma (MM) is an aggressive hematologic malignancy arising from plasma cell (PC) proliferation in the bone marrow, progressing from its precursor states MGUS and SMM. Despite therapeutic advances, MM remains incurable, underscoring the need for better risk stratification and early detection. Tumor heterogeneity and dynamic immune microenvironment changes drive progression, yet bulk analyses overlook rare subpopulations critical to disease evolution and resistance. This study employed multiplexed targeted proteomics to characterize bone marrow aspirates (BMA) from 22 patients to observe the change in the distribution of PCs and tumor immune microenvironment (TiME) cells across MM disease states and controls. Bone …

De-Escalating Local Therapies Without Compromising Outcomes: Lessons From The Collision Trial, Jessica Albuquerque, Noreen S Siddiqi, Van K Morris, Hop Tran Cao, Iwan Paolucci, Bruno C Odisio

Faculty, Staff and Student Publications

No abstract provided.

Patient, Physician, And Assessor Blinding In Phase Iii Randomized Trials In Oncology: A Meta-Epidemiological Analysis, Gabrielle Brown, Pavlos Msaouel, Avital M Miller, Ramez Kouzy, Timothy A Lin, Joseph Abi Jaoude, Ethan B Ludmir, Alexander D Sherry

Faculty, Staff and Student Publications

Background: Blinding mitigates bias in randomized trials and may be especially crucial for surrogate endpoints, such as progression-free survival (PFS). Here, we characterize utilization of and factors associated with blinding in Phase III oncology trials with PFS primary endpoints.

Methods: Two-arm, superiority-design trials investigating systemic therapy were identified in May 2024 from ClinicalTrials.gov with no date limitation. Trials were required to have a PFS primary endpoint. The study outcomes were the presence of double-blind designs and blinded independent central review (BICR) for the primary endpoint. Ninety-five percent credible intervals for binary outcomes were estimated from beta distributions, and multivariable logistic …

Tert Promoter Mutations And Survival Outcomes In Adult-Type Granulosa Cell Tumors, Allison L Brodsky, Alejandra Flores Legarreta, Bryan M Fellman, Deanna Glassman, Jeffrey How, Veena Vuttaradhi, Anil K Sood, Lois Michelle Ramondetta, David Gershenson, R Tyler Hillman

Faculty, Staff and Student Publications

Objectives: To evaluate survival outcomes among patients with adult-type granulosa cell tumors who have telomerase reverse transcriptase (TERT) promoter mutations.

Methods: This is a retrospective cohort study using the MD Anderson Rare Gynecologic Malignancy Registry. Patients with adult granulosa cell tumors who underwent molecular testing for TERT promoter and FOXL2 c.C402G mutations were included. We used descriptive statistics to compare demographic and clinical variables and estimated progression-free and overall survival with Kaplan-Meier curves. Cox proportional hazards regression and log-rank tests were employed for comparisons, with multivariable analyses adjusting for various factors.

Results: Among 70 patients, 28 (40%) had TERT+ tumors. …

Ppp2r1a Mutations Portend Improved Survival After Cancer Immunotherapy, Yibo Dai, Anne Knisely, Mitsutake Yano, Minghao Dang, Emily M Hinchcliff, Sanghoon Lee, Annalyn Welp, Manoj Chelvanambi, Matthew Lastrapes, Heng Liu, Zhe Yuan, Chen Wang, Hao Nie, Stephanie Jean, Luis J Montaner, Jiakai Hou, Ami Patel, Shrina Patel, Bryan Fellman, Ying Yuan, Baohua Sun, Renganayaki Krishna Pandurengan, Edwin Roger Parra Cuentas, Joseph Celestino, Yan Liu, Jinsong Liu, R Tyler Hillman, Shannon N Westin, Anil K Sood, Pamela T Soliman, Aaron Shafer, Larissa A Meyer, David M Gershenson, David Vining, Dhakshinamoorthy Ganeshan, Karen Lu, Jennifer A Wargo, Weiyi Peng, Rugang Zhang, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

Immune checkpoint blockade (ICB) therapy is effective against many cancers, although resistance remains a major issue and new strategies are needed to improve clinical outcomes1-5. Here we studied ICB response in a cohort of patients with ovarian clear cell carcinoma-a cancer type that poses considerable clinical challenges and lacks effective therapies6-8. We observed significantly prolonged overall survival and progression-free survival in patients with tumours with PPP2R1A mutations. Importantly, our findings were validated in additional ICB-treated patient cohorts across multiple cancer types. Translational analyses from tumour biopsies demonstrated enhanced IFNγ signalling, and the presence of tertiary lymphoid structures at the baseline, …

Nature-Inspired Metaheuristics For Optimizing Dose-Finding And Computationally Challenging Clinical Trial Designs, Weng Kee Wong, Yevgen Ryeznik, Oleksandr Sverdlov, Ping-Yang Chen, Xinying Fang, Ray-Bing Chen, Shouhao Zhou, J Jack Lee

Faculty, Staff and Student Publications

Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial settings. We focus on nature-inspired metaheuristics and apply one of its exemplary algorithms, the particle swarm optimization (PSO) algorithm, to find phase I/II designs that jointly consider toxicity and efficacy. As a specific application, we demonstrate the utility of PSO in designing optimal dose-finding studies to estimate the optimal biological dose (OBD) for a continuation-ratio model with four parameters …

Orp2 Regulates Free Cholesterol Accumulation In Hepatocytes During Mash, Jin Wu, Yudi Zhao, Liwen Qiu, Qiaoli Chen, Xiaowei Wang, Jingwen Gu, Yan Liang, Yingjie Zhang, Hong-Yu Wang, Yang Liu, Xiaoqin Wu, Shuai Chen, Feng-Jung Chen, Mingming Gao, Hongyuan Yang

Faculty, Staff and Student Publications

Background: Cholesterol crystals in hepatocytes are known to strongly associate with human metabolic dysfunction-associated steatohepatitis. However, it remains unclear which molecular pathway(s) regulates free cholesterol accumulation and the formation of cholesterol crystals in hepatocytes. In cultured cell lines, oxysterol-binding protein-related protein 2 (ORP2) functions to deliver cholesterol to the plasma membrane from endosomal compartments.

Methods: Here, we generated liver-specific ORP2 knockout (ORP2-LKO) mice and characterized their metabolic phenotypes on chow and high-fat diet.

Results: The ORP2-LKO mice developed much more severe hepatic steatosis than floxed control mice after high-fat diet feeding. They also demonstrated more severe liver inflammation and damage. …

Characterization Of Search Spaces And Effects On Machine Learning, Leo Ghelarducci

Doctoral Dissertations and Master's Theses

The present status of the field of Machine Learning (ML) focuses on optimization of popular models. Rarely are the effects of the problem characteristics upon the solution algorithm studied. There exists no standard for knowing when to apply ML algorithms to a given problem or how to estimate the effectiveness of results. Focusing on the search space of problems, a rigorous study was conducted to generate an in-depth understanding of the impact of search space characteristics to the performance of a ML algorithm, specifically a Genetic Algorithm (GA). The effects of specific problem characteristics, represented via solution space characteristics, on …

Drift Dynamics Of Early Life-Stage Invasive Carps, Saurav Karki

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Asian carp species pose significant ecological threats to North American freshwater systems due to their invasive nature and prolific reproduction. Their semi buoyant eggs develop while drifting downstream with the river current. Understanding early life-stage transport is therefore critical for predicting recruitment potential and guiding management efforts. Existing fluvial egg drift models, including those relying on 1-D hydraulics and fully 3-D CFD-based models, are either inadequate for complex braided rivers or too computationally demanding for large-scale application. The Platte River in Nebraska, characterized by wide, shallow, multi-threaded channels, is dominated by two-dimensional flow conditions, making a depth-averaged 2-D modeling approach …

Don't Settle For Less: Incorporating Postcolonial And Settler Colonial Perspectives Into The Sociological Canon, Eli Xavier Ornelas

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

For decades now, post-/de-/settler-/ and anticolonial scholars have advanced the argument that sociology has largely failed to incorporate critical insights from theories of empire into the sociological canon. In this dissertation, I argue that introduction to sociology textbooks offer an important vantage point from which to assess conventional sociological knowledge as textbooks are often thought to be “reflections of the discipline.” I analyze the social theory and race chapters of 21 of the most often used introduction to sociology textbooks in the United States to investigate two chapters where insights from theories of empire would be present if indeed incorporated: …

Authentication And Message Integrity Verification For Emerging Wireless Networks, Ebuka Philip Oguchi

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation presents a comprehensive body of research on authentication and message integrity verification for emerging wireless networks, focusing on secret-free and physical layer security techniques across diverse, challenging, and unconventional environments.

It comprises four first-author contributions that span underground wireless systems, over-the-air (OTA) channels, vehicular communications, and nanoscale molecular networks.

The first contribution, Soil-Assisted Trust Establishment for Underground Wireless Networks (STUN), introduces a physical-layer trust bootstrapping protocol that achieves authentication and message integrity without pre-shared secrets. Leveraging underground-to-air propagation laws and trusted relay nodes, STUN resists active signal injection attacks and demonstrates security comparable to the unbalanced oil and …

Blood-Red And Flaming And True, Kate Gaskin

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Blood-Red and Flaming and True contains poems that explore the immense feelings of love and loss tied to the relationship between parent and child. They chronicle my experience raising a neurodivergent child, as well as undergoing infant loss and navigating a U.S. medical system that is renowned for putting women and people capable of giving birth—especially BIPOC—at greater risk than other countries with similar resources. Through poems that inhabit a variety of forms, I sift through grief and joy while attempting to tap into the sublime state that underlies extreme loss and love. Throughout, I investigate how lyric poetry is …

Rhetorics Of Encounter: Toward A Biocentric Theory Of Discourse, Matthew D. Whitaker

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Encounters with more-than-human identities are transformative moments that stand to affect dispositional and bodily change in individuals. From close brushes with wild animals in National Parks to everyday interactions with local ecologies, encounters invite us to feel and think differently about the nature of our realities. In Rhetorics of Encounter: Toward a Biocentric Theory of Discourse, I draw from interdisciplinary perspectives to disrupt the idea of rhetoric as a representational medium, arguing that rhetoric occurs not just through textual exchanges of words and symbols, but through embodied moments of contact with other responsive beings. Invoking George Kennedy’s theory …

Development And Evaluation Of Supported Ionic Liquid Membrane And Porphyrin Frameworks For Carbon Capture Separation, Sarang Ismail

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The global urgency to mitigate anthropogenic CO₂ emissions has intensified the pursuit of energy-efficient separation technologies. Supported Ionic Liquid Membranes (SILMs) have emerged as promising candidates for CO₂ capture due to their tunable solubility-selectivity and low energy requirements. However, challenges such as mechanical instability, limited scalability, and trade-offs in transport performance have impeded their widespread adoption.

This thesis explores a systematic approach to designing and optimizing SILMs for enhanced CO₂ separation by tailoring polymer–ionic liquid interactions, processing conditions, and material architectures. A comprehensive set of studies were conducted using poly(vinylidene fluoride) (PVDF) with varying molecular weights, different grades of PEBAX®, …

Multivariate Mixture Regression Models With Known Group Membership And Informative Priors, Pahalapathirage Dona Kalani Hasanthika

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

We introduced couple different novel approaches to incorporate latent variable information to multivariate mixture regression models with both Gaussian and count data. We also evaluated the performance of these models with existing best approaches with simulated data from various sampling structures and also evaluated one of the models performance with rice metabolite data that provided some novel insights as well as validating existing literature about performance and behavior of these metabolites. We validated the method using extensive simulations and a real-world application. In both quantitative covariate designs and complex treatment design simulations, our method consistently outperformed established tools like limma, …

From Classroom To Content Creator: Leadership Practices And Identities Of Female Science Teachers On Tiktok, Rachel M. Benzoni

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This qualitative multiple case study investigates how four secondary science teachers use TikTok to advocate for science education and how content creation shapes their professional identities as leaders. Using interviews and video content with a framework integrating constructivist leadership, Leader Identity Construction Theory (LICT), and the Social Change Model (SCM), findings show participants enacted leadership outside formal roles through distributed and relational practices leveraging social media's affordances. Five themes emerged from the analysis: (1) Reconceptualizing Teacher Leadership on Social Media, (2) Leadership Through Equity-Driven Practice, (3) Constructing and Leading in Online Professional Learning Communities, (4) Forming and Negotiating Identities in …

Listening And Participation Prime Funders To Honor And Build Community Ownership, Gita Gulati-Partee, Katy Love

The Foundation Review

Funder listening is an essential complement to community participation to disrupt white dominant culture habits that entrench the status quo of hierarchy and power. Community-centered listening, combined with participatory processes, offers funders an opportunity to shift in deep and sustainable ways from an individualistic, “power over” orientation to interdependent relationships with community partners.

In this article, two practitioners of equity and participatory philanthropy share how funder listening and community participation form a potent combination to help funders confront their own power and use it intentionally to honor and bolster community ownership and agency.

Drawing on the authors’ direct experience, this …

Bifunctional Fusion Protein Pdl1sfv/Micae For Cancer Immunothearpy, Junyi Li

All Dissertations

Cancer immunotherapy has highlighted the importance of immune checkpoint blockade and innate immune cell engagement in battling tumor-mediated immune suppression in the past few decades. However, with cancer development, advanced tumors are often found to develop resistance towards single-target immunotherapy due to the complexity of the immunosuppressive mechanisms within the tumor microenvironment (TME). To address this, we developed a novel bifunctional fusion protein, PDL1sFv/MICAe, which combines the tumor-targeting capability of an anti-PDL1 single-chain variable fragment (sFv) with the NK cells immunostimulatory properties of the MICA extracellular domain.

In vitro functional assays revealed that PDL1sFv/MICAe significantly enhanced cytotoxicity towards natural killer …

Gender And Entrepreneurial Success: Examining The Relationships Among Risk Aversion, Loss Aversion, Risk Propensity, And Venture Performance, Kara Mcalister

All Dissertations

Gender disparities in entrepreneurship persist despite increased participation by women entrepreneurs. Traditional research has attributed these disparities to gender differences in risk-taking behavior, with women entrepreneurs typically characterized as more risk-averse. However, recent evidence suggests this oversimplifies a complex phenomenon and may reinforce harmful stereotypes. This study examined the relationships among risk aversion, loss aversion, risk propensity, and venture performance for male and female entrepreneurs, while considering moderating effects of industry gender-type and previous experience.

A quantitative cross-sectional design was employed with 157 entrepreneurs (93 female, 64 male) recruited from entrepreneurial organizations. Risk aversion was measured using the Domain-Specific Risk-Taking …

Studying The Impact Of Co-Teaching On Students With Disabilities Self-Efficacy In An Algebra 1 Course., Shannon E. Sharkey

All Dissertations

ABSTRACT

Students with disabilities (SWD) at Large High School in Rural School District have consistently underperformed in Algebra 1 as compared to their non-disabled peers and SWD across South Carolina. This performance gap contributes to the school’s designation as an Additional Targeted Support and Improvement (ATSI) site, putting it at risk for state intervention. This dissertation investigates whether implementing a co-teaching model in Algebra 1 can positively impact SWD students’ self-efficacy in mathematics, with a secondary focus on potential gains in academic performance in Algebra 1 on the state End of Course (EOC).

Grounded in improvement science methodology, the study …

Designing Self-Healable Aromatic Copolymers And Olefinic Composites, Samruddhi Yashwant Gaikwad

All Dissertations

Self-healing polymers capable of recovering from mechanical damage are promising materials for advanced applications, especially those involving mechanical and/or physical fatigue. In these studies, we have developed techniques to achieve autonomous self-healing in commodity Styrene/n-butyl acrylate copolymers. The mechanism of self-healing in the designed polymers involves inter-and/or intrachain non-covalent interactions between π-cloud and polar linkages of acrylic nBA in random/preferentially alternating copolymers. A combination of spectroscopic tools, thermo-mechanical analysis, and molecular dynamics (MD) simulations has been used to elucidate the mechanism of self-healing. These studies further show the incorporation of dipolar C-F groups to understand the effect of having fluorinated …

Improving Retention Of Students With Disabilities In Stem Through Math-Based Type Science Readiness, Eleni N. Koukoularis

All Dissertations

Abstract

This Dissertation in Practice examined the impact of a Math for Science Readiness (MSR) intervention on the science course planning behaviors of Students with Disabilities (SWD) in College Preparatory Basic (CPB) Chemistry, with the aim of increasing enrollment into Physics 1 College Placed Academic (CPA). Using an approach grounded in sociocultural theory and strength-based practices, the intervention implemented 16 short modules connecting chemistry and physics through shared math themes to reinforce math concepts across disciplines.

Data collected included physics interest surveys, common assessment exam scores, enrollment data, and counselor feedback to evaluate whether targeted math support could promote progression …

Evolutionary Biomechanics In Cetartiodactyla: Impacts Of Ecological Shifts On Bone Material Properties And Control Surface Morphology, Danielle S. Adams

All Dissertations

Extreme ecological transitions expose organisms to novel selective pressures that can reshape morphology and performance. This dissertation investigates how the transition from land to water has influenced form and material properties in cetaceans (whales, dolphins, and porpoises), a clade that has undergone dramatic morphological and physiological adaptations to a fully aquatic lifestyle. I integrate comparative morphology, material property testing, and phylogenetic analyses, to explore how ecological demands, particularly related to foraging mode and prey detection, have shaped multiple aspects of cetacean morphology and function. Using nanoindentation and microCT, I measured elastic modulus and bone density of the skull and mandible …

Distribution, Roles And Environmental Drivers Of Bacterial Communities In The Chesapeake And Delaware Bays, Mir Alvee Ahmed

All Dissertations

In this dissertation, water samples from the Chesapeake and Delaware Bay estuaries were analyzed to see how estuarine environmental gradients drive distributions, functional potential, growth estimates and gene expressions of bacteria. To answer this, the abundant and versatile taxa– Rhodobacterales and Actinobacteriota, along with broader particle-attached (PA) vs. free-living (FL) bacterial assemblages of these Bays were analyzed using a multifaceted ‘omics approach.

The PA fraction, differing from the FL in taxonomy, distribution, functional potential and estimated growth rates across salinities, and bays harbored genes degrading complex aggregates, and surface attachment. The FL counterpart presented genes involved in nutrient uptake …

Progress Towards Uranium Isotope Ratio Measurements Directly From Cotton Swipes With The Liquid Sampling – Atmospheric Pressure Glow Discharge (Ls-Apgd) Ionization Source, Joseph V. Goodwin

All Dissertations

The liquid sampling – atmospheric pressure glow discharge (LS-APGD) ionization source is a novel microplasma ionization source capable of ionizing a diverse set of both inorganic and organic chemical species including, ionic metal constituents as well as ligated metallic species, polyaromatic hydrocarbons (PAH), halogens, proteins, and even per/poly fluorinated alkyl substances (PFAS). The ability to generate ions from diverse chemical species, known as combined atomic and molecular (CAM) ionization, is not found with traditional ionization sources. In addition, the LS-APGD is capable of coupling with mass spectrometer platforms typically reserved for “organic” mass spectrometry, such as the high-resolution Orbitrap mass …

Assessing The Mental Health Benefits Of A School-Based Urban Gardening Program In Kosova, Imri Zabeli

All Dissertations

ABSTRACT

This study investigated the mental health benefits of a school-based urban gardening program for primary school students in Kosovo, where there is limited access to psychological support within educational settings. A quasi-experimental pretest-posttest control group design was employed, involving 112 students aged 9 to 11 from two public schools in Pristina, who were divided into an intervention group (n = 56) and a control group (n = 56). The intervention group engaged in an 8-week structured gardening program, while the control group followed the standard curriculum. Psychological outcomes were assessed using validated instruments, including the Perceived Stress Scale for …