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The Impact Of Land Use Types On Pollinator Communities In Upland Oak Forests, John Olanrewaju Omolewa Dec 2025

The Impact Of Land Use Types On Pollinator Communities In Upland Oak Forests, John Olanrewaju Omolewa

Theses and Dissertations

This research investigates how land use types influence pollinator communities in upland oak forests, focusing on bees (Hymenoptera: Apoidea). The study has four objectives: (1) compare bee species richness and abundance across four land use types; hardwood, pine/mixed pine, open fields/agricultural areas, and scattered hardwood; (2) test whether bee community composition differs among these land uses; (3) assess how land use shapes diversity of both common and rare bee species; and (4) investigate the reproductive output of cavity-nesting communities in upland oak forests. Together, these aims provide a comprehensive understanding of how land use practices affect wild bee communities in …


Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman Dec 2025

Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman

Theses and Dissertations

This dissertation develops and validates a machine‑learned (ML) actuator line model (ALM) as an advancement in rotor modeling that can be applied to diverse engineering applications. The model addresses two standard ALM limitations: dependence on pre‑tabulated lift and drag coefficients and the inability to represent unsteady inflow. The ML‑ALM is trained on a hydrokinetic blade‑resolved simulation database of blade‑element forces under unsteady conditions, and is queried at run time to supply axial, tangential, and spanwise forcing at each actuator element. Validation covers solitary rotor performance and wake predictions against experimental data, and verification in an inline configuration against blade‑resolved simulations …


Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter Dec 2025

Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter

Theses and Dissertations

Parkinson's disease (PD) is a complex condition with a wide range of clinical symptoms. It is a progressive neurological disorder that has afflicted an estimated 1 million people in the US and 10 million worldwide. The diagnosis of PD is typically based on the presence of clinical features, with no specific diagnostic test or biomarker. The methods of assessment for PD are also used, in whole or in part, for similar symptom diseases such as Multiple Sclerosis, Essential Tremors, Multiple System Atrophy, Supranuclear Palsy, Dementia with Lewy bodies and Huntington’s disease. Many of the current clinical tests have low sensitivity …


Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim Dec 2025

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim

Theses and Dissertations

Accurate estimation of the Maximum Detectable Distance (MDD) is critical for environmental remediation, nuclear incident response, and public safety. Conventional approaches assume stationary detectors and rely on computationally intensive simulations, limiting their applicability for mobile, real-time surveys. Mobile gamma spectrometry introduces additional complexities due to detector motion, variable acquisition times, and heterogeneous backgrounds. This study addresses the central question of how effectively a Physics-Informed Neural Network (PINN) can estimate MDD for mobile gamma spectrometry, while maintaining both accuracy and computational efficiency under dynamically changing environmental conditions. A multi-phase approach was employed, combining field data collection, computational modeling, and operational tool …


Nanocarbons For Electrodes And Electrolytes Of Sustainable And Solid-State Energy Storage Systems: Materials, Electrochemical Characterization, And Lifecycle Analysis, Ridwan Tobi Ayinla Dec 2025

Nanocarbons For Electrodes And Electrolytes Of Sustainable And Solid-State Energy Storage Systems: Materials, Electrochemical Characterization, And Lifecycle Analysis, Ridwan Tobi Ayinla

Theses and Dissertations

The growing global demand for clean, efficient, and scalable energy storage technologies has intensified the search for sustainable alternatives to conventional battery and supercapacitor systems. Traditional electrochemical energy storage devices often rely on finite and environmentally harmful materials, toxic electrolytes, and rigid architectures that limit their applicability in emerging domains such as flexible electronics and wearable technologies. Additionally, the leakage of liquid electrolytes poses a persistent safety and reliability challenge, particularly for long-term and real-world applications. This research addresses these pressing challenges by developing a new class of green, flexible, and high-performance electrochemical energy storage systems using bio-derived materials. The …


A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan Dec 2025

A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan

Theses and Dissertations

This dissertation investigates the dynamic interplay between pedagogical strategies, learner diversity, and emerging educational technologies through three interconnected studies. Study 1 compares Traditional instruction, Problem-Based Learning (PBL), and Simulation-Based Learning (SBL), revealing that while PBL and SBL enhance student performance—particularly PBL—their impact on perceived learning varies. Notably, SBL reduced perceived learning despite strong outcomes, underscoring the affective and metacognitive complexities of active learning. Study 2 examines the role of demographic factors such as gender, ethnicity, employment, and first-generation status, finding no significant main effects but identifying a key two-way and three-way interactions, suggesting that instructional effectiveness is influenced by the …


Your Information Zodiac: An Information Evaluation Framework For The Age Of Generative Ai, Kevin J. Reagan, Kay Coates, Jessica Swaringen Dec 2025

Your Information Zodiac: An Information Evaluation Framework For The Age Of Generative Ai, Kevin J. Reagan, Kay Coates, Jessica Swaringen

University Libraries: Faculty Publications

Building on information evaluation mnemonics like the CRAAP Test, SIFT, and ACT UP, among others, the authors propose the ZODIAC of information evaluation for an AI-dominated information environment: Zooming in, Other opinions, Dataset, Intent, Authenticity, and Consistency. Each letter introduces students to considerations unique to the critical thinking considerations of AI-generated information, such as datasets and their large language models, evaluating the purpose of a given generative AI, and questioning the authenticity and consistency of generative AI output. Additionally, as an introductory framework geared toward first-year students, the ZODIAC evaluation method does not fully address all aspects of information literacy; …


Development And Evaluation Of Wireless Monitoring Systems For Touchless Respiratory Monitor Validation, Dustin Marquardt Dec 2025

Development And Evaluation Of Wireless Monitoring Systems For Touchless Respiratory Monitor Validation, Dustin Marquardt

Graduate Theses & Non-Theses

The Touchless Respiratory Monitor (TRM) is a non-invasive system that uses contactless methods to measure respiratory rate and tidal volume. The main technologies employed are LiDAR for tidal volume measurement and a thermal camera for respiratory rate monitoring. These novel methods require validation against established techniques such as capnometry and respiratory inductance plethysmography. Commercial respiratory monitoring equipment is often expensive and dependent on proprietary software, creating barriers to widespread use. To address this, a custom, modular, and low-cost evaluation system was developed to streamline the validation of the TRM. The prototype system integrates a pulse oximeter, capnometer, spirometer, and respiratory …


Production Of Rare Earth Elements By Molten-Salt Electrolysis, Mohammed Moro Dec 2025

Production Of Rare Earth Elements By Molten-Salt Electrolysis, Mohammed Moro

Graduate Theses & Non-Theses

Rare earth elements (REEs) are indispensable, high-value resources that play a crucial role in renewable energy, defense systems and advanced technological systems. REEs are commonly extracted from natural ores or recycled materials such as permanent magnets using hydrometallurgical or pyrometallurgical techniques. In hydrometallurgy, the REE source is leached with acid, followed by solvent extraction and precipitation steps to obtain rare earth compounds like oxides and fluorides. Pyrometallurgy involves dissolving rare earth compounds in a molten halide bath, followed by high-temperature electrolysis to convert them into metals, which are then recovered at the cathode. This process typically includes melting, refining, and …


Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster Dec 2025

Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster

Theses and Dissertations

Increasing pressure on water resources in agricultural regions, particularly the Mississippi Delta, demands innovative irrigation technologies to optimize water usage while maintaining crop productivity. This research presents the design, development, and validation of an automated hole-punching system for lay-flat poly pipe tubing used in precision irrigation applications. The system ensures accurate and consistent hole placement through an integrated rotary cutting die, a PLC-based control architecture, stepper motor actuation, and distance-sensing and position-synchronization. The software logic maintains precise hole spacing despite variations in tubing speed. System performance was evaluated through extensive testing and statistical analysis of hole-spacing accuracy, repeatability, and sagitta-based …


Novel Experimental Techniques For Pressure Transients, Luliang Zhang Dec 2025

Novel Experimental Techniques For Pressure Transients, Luliang Zhang

Theses and Dissertations

This dissertation introduces novel experimental techniques for analyzing pressure transients, focusing on dynamic strain and pressure measurements to advance the understanding and application of Pulse Pressure Amplification in percussive devices. The research evaluates a high-speed linescan extensometer utilizing linescan Digital Image Correlation (DIC) on a Kolsky Bar to obtain strain data at high strain rates. This data is critical for accurate material characterization and simulations to model dynamic behavior. Additionally, a novel method for measuring dynamic pressure waves in pipe systems has been developed, enabling direct assessments of pressure amplification in devices such as tapered pipe systems. The findings contribute …


The Social In The Spiritual: Non-Theistic Spirituality In 12-Step Addiction Recovery, Steph Jacobs Dec 2025

The Social In The Spiritual: Non-Theistic Spirituality In 12-Step Addiction Recovery, Steph Jacobs

Theses and Dissertations

To investigate whether Western-raised Narcotics Anonymous (NA) members engage in non-theistic spirituality and non-humanist modes of sociality with non-human beings, I conducted six qualitative interviews and a small-scale survey within a Vancouver NA community. The majority of participants practice non-theist spirituality, and three interviewees relate to non-humans in ways not accounted for by Western humanism. Findings suggest that connection and sociality are intrinsically woven into recovery and well-being. This research opens conversations about non-theistic spirituality in NA recovery, non-human sociality and healing, processes of ontological negotiation, and the entanglement of spirituality, sociality, and well-being. Through daily practices of exploration and …


Improving Artificial Intelligence Literacy Among Middle School Students Using Tangible Objects, Sayantani Dutta Dec 2025

Improving Artificial Intelligence Literacy Among Middle School Students Using Tangible Objects, Sayantani Dutta

Theses and Dissertations

Given the rapid advancement of Computer Science (CS) and Artificial Intelligence (AI), introducing these disciplines early and effectively in education is essential. Many middle school students, however, struggle to understand these subjects when taught with traditional, abstract, and screen-based methods, which often fail to engage students or build deep conceptual understanding. This study argues that tangible, hands-on learning tools and interactive activities make AI and CS concepts more accessible, concrete, and engaging for students. The findings show that, compared to traditional lectures, hands-on activities lead to substantially improved comprehension, retention, and enjoyment. While the sample size poses limitations, the evidence …


Using Quantum Annealing For Sampling And Pattern Generation In Generative Machine Learning And Catastrophic Forgetting Mitigation, Abdelmoula El Yazizi Dec 2025

Using Quantum Annealing For Sampling And Pattern Generation In Generative Machine Learning And Catastrophic Forgetting Mitigation, Abdelmoula El Yazizi

Theses and Dissertations

The first goal of this dissertation was to understand the reasons for the absence in previous investigations of significant and consistent improvements in the trainability of Restricted Boltzmann Machines (RBM) when the Quantum Annealer (QA) was used for sampling from the RBM probability distribution. The second goal was to address the shortcomings of those previous investigations, explore possibilities of improving RBM training, and identify other machine learning applications that could benefit from sampling or from generating patterns by the QA. The first part of this dissertation focused on a Local-Valley (LV) centered approach to assessing the quality of sampling. QA-based …


Dem Simulations For Tractive Performance Of Rigid Wheel In Granular Media, Aidan Noah Dickerson Dec 2025

Dem Simulations For Tractive Performance Of Rigid Wheel In Granular Media, Aidan Noah Dickerson

Theses and Dissertations

Accurately predicting vehicle mobility in granular media is essential for evaluating off-road mobility in agriculture, defense, and planetary exploration. Traditional empirical models often fail in capturing complex micromechanics of soil deformation, especially under dynamic conditions such as high slips and maneuvering. This study demonstrates the value of the discrete element method (DEM) in modeling wheel-soil interactions with higher fidelity. Using Altair EDEM and pre-calibrated GEMM materials, simulations were conducted for a range of forward (-5.9% to 54.8%) and side slip angles (3°, 6°, 12°) in dry sand. DEM enabled detailed analysis of sinkage, traction forces, and lateral loads, revealing trends …


Faculty Adoption Of The Canvas Learning Management System: An Application Of The Utaut2 Framework, Alyssa Hutcheson Mckinley Dec 2025

Faculty Adoption Of The Canvas Learning Management System: An Application Of The Utaut2 Framework, Alyssa Hutcheson Mckinley

Theses and Dissertations

This study aimed to examine faculty adoption of the Canvas LMS at a public university through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. Survey data were collected from faculty across multiple colleges within the university and were used to explore the predictive power of the UTAUT2 constructs including hedonic motivation, facilitating conditions, performance expectancy, effort expectancy, social influence, habit and behavioral intention. In addition to this, disciplinary differences along with discipline-specific needs were also considered in order to better understand adoption patterns. The results of this study indicated habit, hedonic motivation, facilitating conditions, and the …


How Are Teacher Leadership Characteristics Defined?: Investigating The Development Of Leadership Identity, Role Clarity, And Administrative Support, Anna C. Daher Dec 2025

How Are Teacher Leadership Characteristics Defined?: Investigating The Development Of Leadership Identity, Role Clarity, And Administrative Support, Anna C. Daher

Theses and Dissertations

The research study investigated how graduates of a teacher leadership preparation program perceived their development as teacher leaders, the factors that supported or hindered their leadership practices, and how their lived experiences aligned with the Teacher Leader Model Standards. The mixed method qualitative research study was designed to examine how teacher leaders make meaning of their growth and enactment of leadership while remaining in classroom roles. Eighteen graduates of a teacher leadership preparation program at a public university in Mississippi completed a survey on their leadership development and current roles. Of those, six participants representing diverse educational backgrounds, experience levels, …


Analysis Of Trends From Mass Concrete Case Studies, Bradford Songer Dec 2025

Analysis Of Trends From Mass Concrete Case Studies, Bradford Songer

Theses and Dissertations

While conventional mass concrete is well understood, high strength and ultra high performance concrete present unique challenges when placed in large volumes. This thesis compiles and analyzes thermal data from mass high strength and ultra high performance concrete placements collected over the past eight years by the U.S. Army Corps of Engineers in support of military construction projects. The datasets span a wide range of material types and volumes. The analysis identifies trends in temperature development, temperature differentials, and the influence of mixture constituents on heat generation. This thesis contributes to the improved understanding of thermal behavior in mass concrete. …


Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda Dec 2025

Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda

Theses and Dissertations

This study focuses on assessing the impact of incorporating systems integrated with in the workplace by assessing the constructs of usability, cognitive load, and trust. The constructs are assessed by generation and experience level to determine which factors are relevant in a workplace setting. A workplace scenario was simulated by asking participants to complete tasks where they assumed the role of a warehouse manager assigned with assessing two scheduling systems – one with artificial intelligence and one without artificial intelligence. The participants were presented with three tasks of increasing difficulty for each prototype. Both quantitative and qualitative measures were used …


Enhancing Leadership Development For Faculty And Staff At Community Colleges, Christopher L. Haralson Dec 2025

Enhancing Leadership Development For Faculty And Staff At Community Colleges, Christopher L. Haralson

Theses and Dissertations

Community colleges serve as critical gateways to higher education and workforce advancement, yet many lack formal leadership development programs tailored to their unique missions and operational challenges. This capstone project explores the need for and proposes the design of a comprehensive leadership program for community colleges, addressing three guiding questions: (1) How can community colleges build institutional support for leadership development programs? (2) In what ways can leadership programs increase faculty and staff engagement to improve student success? (3) How can structured leadership programs serve as foundations for succession planning within college administration? A desk-based research methodology was employed, anchored …


Bridging The Gap: Enhancing Novice Teacher Retention Through Logistical And Administrative Support, Denise Fleurette Harrel Dec 2025

Bridging The Gap: Enhancing Novice Teacher Retention Through Logistical And Administrative Support, Denise Fleurette Harrel

Theses and Dissertations

This project examines the challenges novice teachers encounter and how structured support systems impact their job satisfaction, effectiveness, and retention. The review focuses on administrative and logistical support, highlighting gaps between teacher preparation and classroom realities that contribute to high attrition (Falk, 2017; Koca, 2016). Key challenges include insufficient time management training, inconsistent expectations, and limited district or school-level support (Fantilli & McDougall, 2009), all of which are intensified by the demands of navigating modern classroom technologies (Philipsen et al., 2019). The literature review centers on teacher perceptions to clarify what constitutes effective logistical and administrative support (Banerjee et al., …


Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong Dec 2025

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …


Inductively Heated Platinum Electrodes, Jayamini Madumali Mudugamuwa Hewage Dec 2025

Inductively Heated Platinum Electrodes, Jayamini Madumali Mudugamuwa Hewage

Theses and Dissertations

This dissertation presents the fabrication and application of a 150 micrometer platinum microelectrode for induction heating, with a copper coil generating the electromagnetic field and the heating process controlled using pulse width modulation technique (PWM) to regulate the duty cycle of a high-frequency signal. Electrochemical characterization, including resonance frequency determination, peak-to-peak potential optimization, and scan rate variation, is conducted using a 5 mM [Ru(NH3)6]2+/3+ solution in 0.1 M KNO3 to calibrate current variations with changing duty cycles, while the temperature increase (delta T) is estimated using the Seebeck coefficient of [Ru(NH3)6]2+/3+. The study further explores the application of induction heating …


Strategies To Streamline Patient Appointments In Specialty Outpatient Care, Adama Drammeh Dec 2025

Strategies To Streamline Patient Appointments In Specialty Outpatient Care, Adama Drammeh

Walden Dissertations and Doctoral Studies

Abstract Outpatient addiction treatment centers face significant challenges from inefficient appointment scheduling systems that contribute to high no-show rates, delayed care, and weakened organizational performance. These barriers affect more than daily operations; they disrupt the flow of treatment, increase patient disengagement, and place additional strain on limited healthcare resources. For patients navigating substance use disorders, a missed appointment may jeopardize continuity of care and undermine recovery efforts. This integrative review explored strategies to improve scheduling efficiency and enhance patient engagement in outpatient addiction care. A systematic search of recent U.S. studies was conducted and appraised using the Johns Hopkins Evidence-Based …


Concerted Rattling-Induced Strong Anharmonicity And Phonon Coherence Lead To Ultralow Glasslike Thermal Conductivity In Tlagte, Shantanu Semwal, Yi Xia, Chris Wolverton, Koushik Pal Dec 2025

Concerted Rattling-Induced Strong Anharmonicity And Phonon Coherence Lead To Ultralow Glasslike Thermal Conductivity In Tlagte, Shantanu Semwal, Yi Xia, Chris Wolverton, Koushik Pal

Mechanical and Materials Engineering Faculty Publications and Presentations

Ordered crystalline compounds exhibiting ultralow and glass-like thermal conductivity are both fundamentally and technologically important, where phonon quasi-particles dominate their heat transport. Understanding the microscopic mechanisms that govern such unusual transport behavior is necessary to unravel the complex interplay of crystal structure, phonons, and collective excitations of these quasi-particles. Here, we use state-of-the-art first-principles calculations based on quantum density functional theory to investigate the origin of experimentally measured unusually low and glassy thermal conductivity in semiconducting TlAgTe that possesses disconnected chains of Tl atoms within its three-dimensional crystalline framework made up of distorted AgTe4 tetrahedra. Utilizing a unifying framework of …


Understanding Outer Membrane Vesicle Biogenesis In Bacteroides Thetaiotaomicron, Evan J. Pardue Dec 2025

Understanding Outer Membrane Vesicle Biogenesis In Bacteroides Thetaiotaomicron, Evan J. Pardue

Arts & Sciences Graduate Student Theses and Dissertations

Outer membrane vesicles (OMVs) are small proteoliposomes generated by active protrusion of the outer membrane (OM) in Gram-negative bacteria during growth. Over 60 years of experimentation has ascribed numerous functions to OMVs produced by different bacteria. However, the mechanism(s) by which OMVs are produced is poorly understood. Due to this, the field remains controversial because many regard OMVs as byproducts of cell lysis and question their physiological relevance. Previous studies in Pseudomonas aeruginosa and related species confirmed that these microbes undergo programmed cell death that results in the stochastic release of vesicles and cellular contents. On the contrary, Bacteroides spp. …


End-To-End Differentiable Gnss Positioning With Neural Network-Derived Weights, Yu Liu, Duong Hoang, Ian Atkinson, Mohammed Tawashi, Saket Patkar, Anant Sahai Dec 2025

End-To-End Differentiable Gnss Positioning With Neural Network-Derived Weights, Yu Liu, Duong Hoang, Ian Atkinson, Mohammed Tawashi, Saket Patkar, Anant Sahai

Defensive Publications Series

There is a fundamental limitation in accuracy and robustness of traditional Global Navigation Satellite System (GNSS) positioning techniques that rely on the Weighted Least Squares (WLS) algorithm. Traditional techniques use static heuristic functions for assigning weights to pseudorange measurements in the WLS algorithm. This disclosure addresses these limitations by replacing the static heuristic functions that are used for assigning weights to pseudorange measurements in the WLS algorithm with a trained Neural Network (NN). This NN acts as a dynamic Satellite Weight Prediction Model. Per the techniques described herein, the entire positioning pipeline—from satellite features to final positional error—is treated as …


Logic-Based Dynamic Resource Determination For Retrieval-Augmented Generation, Iain Foulds Dec 2025

Logic-Based Dynamic Resource Determination For Retrieval-Augmented Generation, Iain Foulds

Defensive Publications Series

Some retrieval-augmented generation systems can be limited by a reliance on static, predefined resource lists, which may become outdated, or by computationally expensive and potentially non-deterministic search queries. The disclosed technology describes a logic-based method for the dynamic determination and retrieval of supplemental information sources. A system, such as a client computing device or server, can parse an input to extract contextual identifiers and apply a configurable set of rules, patterns, and heuristics to infer the location of relevant resources. These resources may then be fetched to augment a large language model or other generative model. This approach can provide …


Unpacking Identity Work Mechanisms For A Person-Centered Approach To Business And Management Education, Carla Campana, Pablo Leao Dec 2025

Unpacking Identity Work Mechanisms For A Person-Centered Approach To Business And Management Education, Carla Campana, Pablo Leao

International Journal of Teaching and Learning in Higher Education

We explore identity work among undergraduate business students who resist the identity prevailing in traditional business schools. The study investigates an educational program that fosters identity work, allowing students to add facets to their emergent identity. Through in-depth interviews, the researchers uncovered a process in which students resist the hegemonic identity of business administrators, seeking alternative experiences that redefine their identity. Our research contribution is two-fold. First, we extend the concept of identity workspaces by introducing three mechanisms: autonomy, a psychological safe space, and group embeddedness. These mechanisms enable students to engage in an identity work process and reidentify with …


2023u_Approved_Sm02_Pm_Minor-Chemistry-Curr-Update, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Sm02_Pm_Minor-Chemistry-Curr-Update, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.