Digital Commons Network^™

Documenting The 2015-2017 Freshening Of The Eastern Eurasian Basin Of The Arctic Ocean And Evaluating Its Drivers And Consequences, Dolly More

Atmospheric Sciences

The Arctic Ocean is undergoing rapid change, with freshwater playing a central role in shaping stratification, vertical heat exchange, and sea-ice loss. Using long-term observations from the Nansen and Amundsen Basins Observational System (NABOS), we document an extreme freshening event in the eastern Eurasian Basin between late 2015 and early 2017. During this period, salinity in the upper 175 m decreased by ~0.5 psu, equivalent to an additional ~0.6 m of freshwater, relative to the preceding (2013-2015) and following (2017-2018) years. The anomaly originated on the Kara Sea shelves in 2014-2015, when exceptional Yenisey and Ob discharge provided a combined …

Lidar And Radar Investigations Of Gravity Wave Activity In The Middle Atmosphere At Pfrr, Chatanika, Alaska, Satyaki Das

Atmospheric Sciences

The middle atmosphere, spanning the stratosphere and mesosphere, plays a critical role in global atmospheric circulation, particularly in the Arctic, where phenomena like Sudden Stratospheric Warmings (SSW) significantly perturb the circulation patterns. This dissertation investigates the dynamics of the polar middle atmosphere using four-year (20218-2022) temperature and wave activity measurements collected by the three-channel Rayleigh Density Temperature Lidar, Sodium Resonance Wind-Temperature Lidar, and Poker Flat Meteor Wind Radar at Poker Flat Research Range, Chatanika, Alaska (650N,1470W). The primary contributions are the development of a new lidar signal retrieval technique to combine the signal from three-channels and improve the lidar signal …

Assessing The Impact Of Social Network On Cyber-Argumentation, Bhargav Krishna Thota

Dissertations

Argumentation is one of the basic activities people perform in our society. People often spend a lot of time arguing about social, cultural, economic, financial, political, and other issues. Existing cyber-argumentation platforms facilitate large-scale discussions among participants and play an important role in the analysis of collective opinions and collective decision-making. However, they do not provide social networking capabilities and are not designed to be used in social networking environments. Social networks in argumentation platforms can reveal the patterns, shifts, and true relationships between the users in a discourse that influence the collective decision-making process, outlier opinions and so on. …

Thermodynamic Evaluation Of The Thermal Methane Pyrolysis Process, Chinaecherem S. Okwuonu

Theses and Dissertations

Natural gas flaring is a persistent challenge which undermines global sustainability and decarbonization efforts as it leads to the waste of valuable energy resources alongside the release of harmful greenhouse gases into the environment. Even when natural gas is utilized through commonly adopted pathways, significant emission of carbon dioxide tends to be realized. Methane pyrolysis offers a promising route in which methane can be decomposed into solid carbon and hydrogen gas with no direct CO2 emissions. However, despite extensive studies of the methane pyrolysis process, a fundamental thermodynamic rationale of the process behavior remains insufficiently explored. This study 1) develops …

Long-Term Sedimentation Rates And Patterns Of Alluvial Ridge Basins (Esteros) Of The Rio Grande Delta (Tx, United States Of America), Kynan Joseph Rutan

Theses and Dissertations

Little is known about the century-scale sedimentation rates and patterns of Alluvial Ridge basins within river deltas, especially in the Rio Grande Delta (RGD). To better constrain this, 22 cores were collected in the Bahia Grande Complex (BGC) and analyzed for grain size, organic content, age dates, and elemental composition.

Results show that grain size and sedimentation rates decrease from an artificial inlet to the basin interior, with elevated sedimentation in the south. Also, human activities, such as the construction of the Brownsville shipping channel in the 1930s, altered sedimentation dynamics in the basin by blocking natural inlets and leading …

The "Woundosome" Concept And Its Impact On Procedural Outcomes In Patients With Chronic Limb-Threatening Ischemia, Lorenzo Patrone, Edoardo Pasqui, Michael S Conte, Alik Farber, Roberto Ferraresi, Matthew Menard, Joseph L Mills, John Rundback, Peter Schneider, August Ysa, Kumar Abhishek, George L Adams, Naseer Ahmad, Irfan Ahmed, Vlad A Alexandrescu, Max Amor, David Alper, Martin Andrassy, Christopher Attinger, Andy Baadh, Hashem Barakat, Lukla Biasi, Theodosios Bisdas, Zagum Bhatti, Erwin Blessing, Marc P Bonaca, Stefano Bonvini, Michel Bosiers, Andrew W Bradbury, Robert Beasley, Christian-Alexander Behrendt, Marianne Brodmann, Gonzalo Cabral, Roberto Cancellieri, Andrea Casini, Venita Chandra, Emiliano Chisci, Omar Chohan, Edward T C Choke, Patrick F S Chong, Giacomo Clerici, Raphael Coscas, Mary Costantino, Luca Dalla Paola, Sabeen Dand, Robert S M Davies, Mario D'Oria, Athanasios Diamantopoulos, Sebastian Debus, Koen Deloose, Costantino Del Giudice, Gianmarco De Donato, Brian De Rubertis, Jean Paul De Vries, Nuno V Dias, Larry Diaz-Sandoval, Florian Dick, Konstantinos Donas, Anahita Dua, Fabrizio Fanelli, Stefano Fazzini, Mazin Foteh, Roberto Gandini, Mauro Gargiulo, Luca Garriboli, Elizabeth A Genovese, Edward Gifford, Yann Goueffic, Peter Goverde, Prem Chand Gupta, Robert Hinchliffe, Andrew Holden, Kim C Houlind, Dominic Pj Howard, Bella Huasen, Giacomo Isernia, Konstantinos Katsanos, Barry Katzen, Philippe Kolh, Igor Koncar, Grigorios Korosoglou, Prakash Krishnan, Thomas Kroencke, Miltiadis Krokidis, Arun Kumarasamy, Paul Hayes, Osamu Iida, Enrique Alejandre Lafont, Ralf Langhoff, Alexandre Lecis, Mark Lessne, Hady Lichaa, Michael Lichtenberg, Marta Lobato, Alice Lopes, Giorgio Loreni, Pierleone Lucatelli, Sreekumar Madassery, Lieven Maene, Marco Manzi, Martin Maresch, Jay Santhosh Mathews, James Mccaslin, Antonio Micari, Stefano Michelagnoli, Bruno Migliara, Robert Morgan, Luis Morelli, Daniele Morosetti, Nicolas Mouawad, Paul Moxey, Stefan Müller-Hülsbeck, Jihad Mustapha, Tatsuya Nakama, Bahaa Nasr, Zola N'Dandu, Richard Neville, Elias Noory, Joakim Nordanstig, Katariina Noronen, Luis Mariano Palena, Gianbattista Parlani, Ashish S Patel, Parag Patel, Rafiuddin Patel, Sanjay Patel, Costantino Pena, Drazen Perkov, Mark Portou, Giovanni Pratesi, Christos Rammos, Jim Reekers, Vicente Riambau, Trisha Roy, Kenneth Rosenfield, Maria Antonella Ruffino, Fadi Saab, Athanasios Saratzis, Paolo Sbarzaglia, Andrej Schmidt, Eric Secemsky, Michael Siah, Henrik Sillesen, Gioele Simonte, Marc Sirvent, Jill Sommerset, Sabine Steiner, Ahmed Sakr, Dierk Scheinert, Mehdi Shishebor, Stavros Spiliopoulos, Alessio Spinelli, Konstantinos Stravoulakis, Gergana Taneva, Desarom Teso, Joerg Tessarek, Selva Theivacumar, Anish Thomas, Shannon Thomas, Narayan Thulasidasan, Giovanni Torsello, Ramesh Tripathi, Nicola Troisi, Srini Tummala, Venkat Tummala, Christopher Twine, Raman Uberoi, Alessandro Ucci, Domenico Valenti, Jos Van Den Berg, Daniel Van Den Heuvel, Isabelle Van Herzeele, Ramon Varcoe, Melina Vega De Ceniga, Frank J Veith, Maarit Venermo, Badri Vijaynagar, Sanjiv Virdee, Conrad Von Stempel, Michiel T Voûte, Kak Khee Yeung, Thomas Zeller, Hany Zayed, Miguel Montero Baker

Faculty, Staff and Student Publications

No abstract provided.

Governing Complexity: A Comparative Assessment Of Four Governance Models With Applications To Climate Change Mitigation And Adaptation, J. B. Ruhl, Niko Soininen, Barbara Cosens, Lance Gunderson

Vanderbilt Law School Faculty Publications

Responses to ongoing global climate change include economy-wide mitigation efforts and large-scale societal adaptation that demand novel approaches to governance. An array of innovative governance models has been proposed since the late 1900s and early 2000s as scholars observed inadequacies of government-centric and formal legal approaches to natural resource management, complexity and uncertainty, failures of neoliberal economic reforms, and cross-scale institutional arrangements. Four such models have come to dominate the solution-oriented discourse on climate change governance: adaptive governance, transition governance, transformation governance, and anticipatory governance. We compare these models in terms of their origin and applicability to deal with the …

On Sobolev Spaces And The Existence Of Weak Solutions To Boundary Value Problems, Skye X. Paul

Master's Theses

Many boundary value problems that arise in mathematical models have close connections to second order elliptic partial differential equations. This thesis introduces the idea of weak derivatives and Sobolev Spaces to generalize possible solutions. Using functional analysis centered around the Lax-Milgram theorem, we show the existence of these generalized solutions to boundary value problems including Laplace's Equation, 2nd order linear ODEs, and ultimately a general second order elliptic PDE. The work cumulates with recovering a number of central theorems of functional analysis in the context of Sobolev Spaces, creating a new perspective on the solvability of these boundary value problems.

A Mixed Methods Study Of The Weather And Climate Science Curriculum Pilot In South Carolina K-12 Schools, 4-H, And Agricultural Education Programs, Emily B. Hood

All Dissertations

Weather and climate science topics in K-12 education are more important now than ever due to extreme weather and climate events happening worldwide. Most U.S. science teachers included climate science in their courses, but they may not have a sufficient background in the topic which can hinder their efforts, or there is no explicit curriculum for the teacher to utilize. Research indicates that there is a need for innovation in the curriculum to help prepare children to become the next generation of leaders and address complex problems, such as issues related to weather and climate science. There are a few …

Exploring Halogen Bonding Interactions In Cocrystals And Deep Eutectic Solvents, Madhushi Bandara

All Dissertations

Halogen bonding is a noncovalent intermolecular interaction analogous to hydrogen bonding that occurs between an electrophile and a nucleophile. This is often observed in compounds containing heavy halogens such as iodine and bromine. When these halogens are covalently bonded to another atom or molecule, preferably to an electron-withdrawing moiety, an electrophilic region called a sigma hole is created on the halogen atom on the extension of the covalent bond.

The first study of this dissertation presents a comprehensive characterization of eight newly synthesized triiodide salts using single-crystal X-ray diffraction, powder X-ray diffraction, thermal analysis (DSC and TGA), and Raman spectroscopy. …

The Influence Of Using Bibliotherapy And Cinematherapy Interventions On The Social-Emotional Competencies Of Middle School Students Identified As Gifted, Debra P. Wallace

All Dissertations

ABSTRACT

Adolescents encounter many stressors in their lives and need resources to help them navigate their challenges. Access to books and movies may help gifted middle school students find ways to cope with various stressors characteristic of gifted students. Bibliotherapy and cinematherapy interventions effectively offer gifted students emotional support for their mental, social, and academic struggles, since gifted students tend to avoid asking for help. In a rural southeastern town, a 2-month improvement science study included a Plan-Do-Study-Act cycle with gifted eighth graders. From December 2024 to January 2025, gifted students participated in an intervention program using bibliotherapy and cinematherapy …

Math For The Real World: Implementing A Standards-Based Math Curriculum With A Focus On Formative Assessment, Rachael Smilowitz

All Dissertations

This study investigated the relationship between the Ongoing Assessment Project (OGAP) professional development and the fidelity of implementation of the Illustrative Math Middle School curriculum in Roseland County School District. The district adopted Illustrative Math in 2016; however, many teachers either implemented it inconsistently or used only select components. While prior research has demonstrated that OGAP training can improve student outcomes on standardized assessments in large urban districts such as Philadelphia, little is known about its impact on teachers’ use of high-quality curricula such as Illustrative Math.

The study addressed three guiding questions: (1) How does participation in OGAP professional …

Examining The Roles Of Embodiment And Theory Of Mind In Shaping User Perceptions Of Llm-Driven Conversational Agents, Elizabeth A. Schlesener

All Dissertations

Large Language Models (LLMs) have advanced conversational agents, enabling natural, human-like interactions in domains such as education, programming, and workplace collaboration. Yet, user distrust persists over privacy, accuracy, and bias. As developers work to mitigate these issues and human-AI collaboration expands, reinforcing trust in LLM-driven systems is essential. To address this problem, this dissertation explores the role of anthropomorphic form in LLM-driven conversational agents and its impact on user perception.

According to the familiarity thesis, humans attribute human-like characteristics to nonhuman entities — a process known as anthropomorphism — to better comprehend unfamiliar phenomena, based on the assumption that they …

The Life Significance Of Summer Outdoor Program Employment During Emerging Adulthood, Austin M. Souto

All Dissertations

Seasonal employment in outdoor programs—encompassing camps, guiding services, and similar organizations—plays a vital role in delivering structured outdoor experiences, yet little research has explored its enduring effects on staff over the course of their lives. This dissertation examined the long-term significance and influence of seasonal outdoor work during emerging adulthood. Guided by Significant Life Experience and Life Course Theory, an exploratory sequential mixed-methods design was used. In the qualitative phase, interviews revealed that seasonal work influenced life trajectories by contributing to identity formation, career discovery, ways of relating to others, and the navigation of trade-offs. Seven mechanisms—opportunities for growth, connection …

Robust Data-Driven Predictive Control Of Nonlinear Systems Under Modeling Uncertainty, Pegah Ghafghanbari

All Dissertations

Data-driven predictive control enables designing controllers directly from data, making it attractive for complex systems with hard-to-model dynamics. However, practical deployment is challenged by modeling inaccuracies and changing operating conditions. This dissertation develops predictive control frameworks that incorporate robustness and adaptability to address these issues in uncertain nonlinear systems.

The first part employs the Linear Parameter-Varying (LPV) framework, which represents nonlinear dynamics through simple linear form representation. To characterize the plant-model-mismatch often caused by limited data and numerical calculations, Bayesian Neural Networks (BNNs) are used, and their uncertainty estimates are integrated into two robust control approaches. The first is a …

Ai In Consideration Of Her: Accounting For Gendered Workplace Dynamics In The Design And Evaluation Of Human-Centered Ai Integration In Everyday Workplaces, Kelsea S. Schulenberg

All Dissertations

Rapid advancements in the technical capabilities and availability of generative Artificial Intelligence (AI) systems, such as OpenAI's ChatGPT, have drawn widespread attention to the opportunities and challenges associated with AI integration into everyday workplaces (i.e., office-type work). Following calls for organizations to consider the ethical and workplace-specific impacts of generative AI's use before integrating it into the workplace, this dissertation addresses three critical gaps in Human-Centered Computing (HCC) and AI workplace integration research. First, this dissertation unpacks the underdeveloped links between women's representation - or lack thereof - in AI-related fields and how their experiences with gendered workplace dynamics in …

Surface Reaction And Transportation Of Radium-226 In Marine Systems, Jiusi Wang

All Dissertations

Historical uses of radium (Ra)-containing self-luminous paint, such as on gauges and dials in naval ships, have led to the potential for such paint, and thus Ra, to be released into the marine environment. Radium-226 (²²⁶Ra) behavior in marine systems is not fully described in the literature, presenting a knowledge gap in the process of evaluating potential ecological impact of Ra in marine systems. This study explores various mechanisms contributing to Ra environmental transport in marine systems on a laboratory scale, including leaching, sorption, and diffusion. ²²⁶Ra leaching from watch hand dials containing radioactive luminous paint is …

Hydrodynamics Of Perforated Heave Plates, Muhammad Usman

All Dissertations

Ocean waves are a clean and renewable energy source that can help reduce dependence on fossil fuels and combat climate change. To capture this energy, researchers have developed devices known as wave energy converters (WECs). One common type, called a two-body point absorber WEC, uses a buoy floating on the ocean surface connected to a submerged reaction plate, known as the heave plate, which lies underwater. The relative up-and-down motion between the buoy and the heave plate, driven by ocean waves, generates usable power via a power take-off (PTO) system. Traditionally, these submerged heave plates are solid structures. However, this …

Opposed-Piston Two Stroke Engine As A High Power Density Solution In Heavy Duty Applications: An Experimental Evaluation With Diesel And Ethanol, Ankur Bhatt

All Dissertations

With an increasing demand to reduce greenhouse gas (GHG) emissions, the conventional powertrain technology is at a saturation point. There is reinvigorated research interest in alternative powertrain designs that offer potentially higher efficiencies and lower engine-out emissions compared to conventional powertrains. The opposed piston two-stroke (OP2S) engine is one such alternative engine architecture that has demonstrated a reduction in engine-out emissions and increased efficiency compared to conventional four-stroke diesel engines. Like any two-stroke engine, the scavenging process and the composition of the internal residuals are predominantly governed by the pressure differential between the intake and the exhaust ports. Without dedicated …

Grokking Applied To Chaotic Iterates Of The Logistic Map, Felix Donkoh

Electronic Theses and Dissertations

This thesis investigates grokking, the delayed transition from memorization to generalization in neural networks trained on deterministic chaotic data. Using an integer–arithmetic discretization of the logistic map, yn+1 =( a yn(p − yn))/ p 2 , bounded aperiodic sequences were generated across control parameters α ranging from 3.0 to 4.0. Transformer-based models displayed characteristic grokking curves. In periodic and chaotic regimes, validation accuracy rose suddenly after long plateaus, while at the Feigenbaum boundary (α ≈ 3.57) generalization failed completely. Increasing data diversity restored learning in chaotic domains, and explicit α–conditioning enabled a single network to generalize across all regimes. A …

An Income Subsystem As A Discrete Stochastic Leslie System: A Simulation-Based Approach, Fahd Nii Okantah Cobblah

Electronic Theses and Dissertations

This thesis formulates the household-income engine of an integrated population sim- ulator as a Discrete Stochastic Leslie System (DSLS). The nonnegative state vector nt ∈ Rk + aggregates income, savings, debt, employment, and transfers. (Here, the subscript + denotes the positive cone, i.e., vectors with nonnegative components). Annual evolution is linear in state, stochastic in coefficients: nt+1 = Ttnt + εt, with Tt : Rk + → Rk + cone-preserving. Exogenous macro drivers (inflation, employment, tax, salary inflation, mortgage) are forecast via ARIMA; forecasts multiply entries of Tt, preserving linearity in expectation while introducing realistic temporal correlation. The discrete-event implemented …

Operation Paperclip And The Use Of National Security: Si Vis Pacem, Para Bellum, Kirsten Hawkins

War, Diplomacy, and Society (MA) Theses

National security is a term that many are familiar with in the twenty-first century. In the United States it is commonly believed that its widespread use began after the attacks on the World Trade Center in New York on September 11, 2001. However, this work examines how the United States government has used the term and changed its definition in its application during Operation Paperclip. Operation Paperclip was a Second World War operation created to secure the scientific and technical research of German scientists at the end of the war in 1945.

This thesis examines Operation Paperclip and its expansion …

Application Of Graph Neural Networks On Phase Space Graphs For Cybersecurity, Parker H. Cole

Graduate Theses and Dissertations (2019 - present)

Non-linear phase space analysis may be used to represent time-series data as graph data with transitions between states in the time domain. By studying these transitions, we can predict anomalies within the system. Previous research has demonstrated success in learning from phase graphs for malware and seizure detection. These solutions either require extracting global features or converting the graph into an image for convolutional neural networks (CNNs), which adds a layer of complexity and limits the size and potential expressiveness of a graph. To sidestep current limitations, this study proposed Graph Neural Networks (GNNs) for analyzing phase graphs. GNNs do …

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …

Taxonomy Of Endophytic Fungi Associated With Vallisneria Neotropicalis, Md. Arafat Rashid

Graduate Theses and Dissertations (2019 - present)

This study presents the first comprehensive taxonomic and ecological investigation of endophytic fungi (EF) associated with the submerged aquatic macrophyte Vallisneria neotropicalis in the southern United States. Over a 12 month period, from April 2023 to March 2024, leaf samples were collected from two distinct sites in Mobile Bay, Alabama a disturbed, brackish Causeway location and a cleaner, less impacted site at Meaher State Park. Using culture dependent methods, a total of 257 fungal endophytes were isolated from 1,200 leaf segments. All isolates belonged to the phylum Ascomycota, distributed across 3 classes, 6 orders, 10 families, and 19 taxa. The …

Human Capital, Immigration, And Growth: A State-Level Dynamic Panel Study, William R. Cooper

Graduate Theses and Dissertations (2019 - present)

This study examines whether who immigrates, rather than how many, matters for state economic growth in the United States. It integrates a policy-relevant proxy for skill (H-1B approvals) into an augmented Solow framework that separates immigration's quantity channel from its human capital channel and estimates dynamic effects in a balanced quarterly panel of 50 states (2010 to 2023 ). The empirical strategy estimates a two-step difference GMM Arellano-Bond model that reinforces identification using a double/debiased machine learning (DML) variant that orthogonalizes high-dimensional nuisance components via cross-fitting. This design targets the distinct roles of immigrant headcount versus skill in per capita …

Modeling Flood Risks For Small-Scale Coastal Watershed Across Shared Socioeconomic Pathway Scenarios, Sebastian Loschner

Graduate Theses and Dissertations (2019 - present)

Coastal flooding, driven by the mixture of natural processes and human activities such as precipitation, waves, sea level rise, and urbanization, remains a growing concern. While recent flood-risk studies use IPCC's Shared Socioeconomic Pathways with climate projections to assess future flood exposure, smaller coastal watersheds, < 120,000 acres, remain insufficiently studied. Projected sea level rise is expected to intensify these impacts in smaller systems, potentially causing more severe flooding than reported for larger watersheds. To address this gap, this study used the SRH-2D model integrated with Aquaveo's Surface-water Modeling System to simulate flooding in the lower Fish River basin, Alabama. A coastal watershed sensitive to both riverine and tidal influences. Simulations tested different sea levels based on SSP scenarios corresponding to low, moderate, and high emissions for the years 2050 and 2100. Results indicate that the midcentury scenarios remained even in inundation extent and volume, between 9.9-10.4% compared to the 2020 baseline, the latter scenarios had a wider range in results of between 25.9-50.3% compared to the same baseline. Across scenarios, the most vulnerable and inundated areas of the smaller coastal watershed were the narrow points where upstream flow convene with downstream backwater. These findings highlight the need for futuristic location-specific flood mitigation strategies.

Short-Term Preeclampsia Prediction: Cutoff Variations For Sflt-1/Plgf In U.S. Patients With Or Without Hypertensive Disorders, Yaxin Li, Kristen Cagino, Jim Yee, Caroline Andy, Dajana Borova, Ayush Shah, Isla Racine, Tracy Grossman, Zhen Zhao

Student Papers, Posters & Projects

BACKGROUND: Preeclampsia (PE) is a complex disorder with significant maternal and fetal risks. The soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) ratio shows promise as a diagnostic tool, but its adoption in the U.S. remains limited due to the lack of accessible testing platforms, U.S.-based studies, and evidence-based implementation guidelines.

PATIENTS/MATERIALS AND METHODS: We conducted a cohort study to evaluate the sFlt-1/PlGF ratio for predicting PE within two weeks among pregnant individuals ≥18 years, ≥20 weeks gestation. Serum samples were obtained from routine prenatal visits or triage evaluations. sFlt-1/PlGF ratios were measured using Roche Elecsys assays, and …

Enhancing Learning Path Recommendation Via Multi-Task Learning, Afsana Nasrin

All Theses

Personalized learning is a student-centered educational approach that acknowledges and adapts to the unique characteristics of each learner by customizing content, pacing, and assessments to meet individual needs. Key components include learner profiles, cognitive styles, learning objectives, adjustable pacing, and enabling technologies such as intelligent learning environments, intelligent tutoring systems, and data mining.

A key strategy for implementing personalized learning is learning path recommendation, a technique that guides learners through tailored sequences of content. This approach sequentially recommends personalized learning items, such as lectures, exercises, to address each student’s specific needs. Recent advances in deep learning, particularly deep reinforcement learning, …

A Molecular Mechanism Of Epithelial To Mesenchymal Transition (Emt): An Evidence Based Lesson Applying Molecular Biology Through The Lens Of Cancer, Sophie Hasson, Melissa Rowland-Goldsmith

Open Educational Resources

This lesson aims to strengthen students’ critical thinking and molecular biology data analysis skills as well as their understanding of concepts related to the hallmark of cancer: tissue invasion and metastasis. Students begin by learning about the invasion of cancer cells, Epithelial-Mesenchymal Transition (EMT), and an important protein involved in EMT: E-cadherin. They then apply molecular biology knowledge to analyze data from multiple papers to infer the relationship between Snail and E-cadherin in different types of cancers. Next, they continue to interpret data from many papers to determine that a repressor transcription factor is present during EMT in cancer cells …