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Full-Text Articles in Physical Sciences and Mathematics

Portugal To New Mexico: Investigating The Applicability Of Syntropic Agriculture To A Semi-Arid Continental Climate, Arielle Nathan Oct 2023

Portugal To New Mexico: Investigating The Applicability Of Syntropic Agriculture To A Semi-Arid Continental Climate, Arielle Nathan

Independent Study Project (ISP) Collection

Conventional industrial agriculture has numerous detrimental effects on the environment including high carbon emissions, pollution and overconsumption of water, soil degradation, and reduction of biodiversity (FAO, 2018). Large-scale alternatives are needed to combat these negative consequences and provide climate solutions. Syntropic Agriculture is a promising farming alternative especially in arid systems subject to degraded soils and desertification. New Mexico is a semi-arid continental climate in a prolonged period of drought and predicted to experience worsening agricultural conditions due to desertification, wildfire intensification, and exacerbated water scarcity. In an area with similar agricultural challenges, a project in Mértola, Portugal (Terra Sintrópica) …


A Work Towards A Single-Bridge Hydrazine Sensor, Brenden Jay Schmeltz Oct 2023

A Work Towards A Single-Bridge Hydrazine Sensor, Brenden Jay Schmeltz

Theses and Dissertations

Hydrazine can currently be detected by irreversible methods, Carbazolopyridinophane (2,18-Dithia[3][1,8]carbazolo[3][2,6]pyridinophane) CP was synthesized by Brown et al. to detect hydrazine in real-time while also being reversible. The threshold for detection was 100 ppb, regulatory use requires 10 ppb as this is when permanent damage to humans can be caused. A more sensitive sensor will allow for safer workplaces for many people. A single, 3-atom bridge sensor will further examine the photophysical capabilities of carbazole-pyridine as an emitter/quencher pair. 1-Carbazole-1-methylpyridyl-2methyl sulfide SBCP will allow freedom of rotation as well as the bending of the bridge. These benefits will introduce conformers which …


Diversity Similarity Join For Big Data, Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Razente, Maria Camila N. Barioni Oct 2023

Diversity Similarity Join For Big Data, Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Razente, Maria Camila N. Barioni

Computer Science: Faculty Publications and Other Works

The Similarity Join (SJ) has become one of the most popular and valuable data processing operators in analyzing large amounts of data. Various types of similarity join operators have been effectively used in multiple scenarios. However, these operators usually generate a large output size and many similar output pairs that represent almost the same information. In previous work, a new operator called Diversity Similarity Join (DSJ) has been proposed to address these issues. DSJ generates a smaller scale output and more meaningful and diverse result pairs. This operator, however, was proposed as a single node operator crucially limiting its scalability …


Rogue Waves In The Massive Thirring Model, Junchao Chen, Bo Yang, Bao-Feng Feng Oct 2023

Rogue Waves In The Massive Thirring Model, Junchao Chen, Bo Yang, Bao-Feng Feng

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

In this paper, general rogue wave solutions in the massive Thirring (MT) model are derived by using the Kadomtsev–Petviashvili (KP) hierarchy reduction method and these rational solutions are presented explicitly in terms of determinants whose matrix elements are elementary Schur polynomials. In the reduction process, three reduction conditions including one index- and two dimension-ones are proved to be consistent by only one constraint relation on parameters of tau-functions of the KP-Toda hierarchy. It is found that the rogue wave solutions in the MT model depend on two background parameters, which influence their orientation and duration. Differing from many other coupled …


Iowa Waste Reduction Center Newsletter, October 2023, University Of Northern Iowa. Iowa Waste Reduction Center. Oct 2023

Iowa Waste Reduction Center Newsletter, October 2023, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

In This Issue:

--- EPA's Wasted Food Scale Replaces the Food Recovery Hierarchy
--- Vermicomposting Workshop Goes to Dayton, IA
--- Iowa Strategic Goals Workshop
--- The New Fashion Police: Fashion as a point of conversation
--- Blog: The Next Generation of Waste Reduction
--- Industry News


“Without Water, Nothing”: Examining The Water Saving Practices Of Women In Amman Under Periodic Water Supply, Rory Dixon Oct 2023

“Without Water, Nothing”: Examining The Water Saving Practices Of Women In Amman Under Periodic Water Supply, Rory Dixon

Independent Study Project (ISP) Collection

Jordan is among the most water-scarce countries in the world. Consequently, water is only pumped to households once a week and households store water in tanks to last them until the next water day. Women conducting housework do so under conditions of environmental stress that this research calls resource-scarce domestic labor. In this study, I apply an eco-feminist lens to examine the water-saving practices women employ to manage and conserve domestic water supplies. I explore the larger causes of these behaviors including climate change, government management, and regional politics. Resource-scarce domestic labor is not a practice unique to Jordan and …


Smart Homes And You: Iot Device Data Risks In An Ever-Changing World, Autumn Person Oct 2023

Smart Homes And You: Iot Device Data Risks In An Ever-Changing World, Autumn Person

Theses and Dissertations

Social media applications are increasingly seen as a national security threat and a cause for concern because they can be used to create user profiles on government personnel and on US citizens. These profiles could be used for big data and artificial intelligence purposes of interest to foreign governments. With the rise of big data and AI being used, foreign governments could use this data for a variety of purposes that can affect normal everyday citizens, not just high value personnel. IoT (Internet of Things) devices that the population uses everyday can also pose the same threat. These devices can …


The Prevalence Of Burnout In Saudi Arabia Dental Hygienists, Nouf Hamad Aldayel Oct 2023

The Prevalence Of Burnout In Saudi Arabia Dental Hygienists, Nouf Hamad Aldayel

Dental Hygiene Theses & Dissertations

Purpose: The purpose of this pilot study was to assess the prevalence of burnout in Saudi Arabian dental hygienists and identify risk factors associated with burnout. Methods: A descriptive survey design using the Copenhagen Burnout Inventory (CBI) assessed burnout among a convenience sample of n=123 Saudi dental hygienists. The survey was disseminated electronically to 1,000 Saudi Arabian dental hygienists. The CBI measures three subscales: personal, work-related, and client/patient-related burnout on a five-point Likert-type scale. The survey also included six demographic questions, two Likert-type, one “yes/no,” and one openended question, related to burnout. Descriptive statistics, one-way between subject’s ANOVA, independent samples …


Organic Carbon Decay Mediated By Mesopelagic Microbial Communities, Noah Jonathan Craft Oct 2023

Organic Carbon Decay Mediated By Mesopelagic Microbial Communities, Noah Jonathan Craft

OES Theses and Dissertations

Substantial remineralization of organic carbon occurs in the mesopelagic zone (i.e., the biological pump), the efficiency of which is responsible for the oceans’ capacity to store carbon originally derived from the atmosphere. To better understand how a substrate’s composition influences its degradation by mesopelagic microbial communities, we added treatments made of live algal cells, dead particulate organic carbon and dissolved organic carbon from 14C-labeled algal cultures to mesopelagic water collected in-situ. Each incubation took place in the laboratory over a period of months, during which PO14C, DO14C, ATP, prokaryote abundances and biochemical fractions were measured. …


Faster, Cheaper, And Better Cfd: A Case For Machine Learning To Augment Reynolds-Averaged Navier-Stokes, John Peter Romano Ii Oct 2023

Faster, Cheaper, And Better Cfd: A Case For Machine Learning To Augment Reynolds-Averaged Navier-Stokes, John Peter Romano Ii

Mechanical & Aerospace Engineering Theses & Dissertations

In recent years, the field of machine learning (ML) has made significant advances, particularly through applying deep learning (DL) algorithms and artificial intelligence (AI). The literature shows several ways that ML may enhance the power of computational fluid dynamics (CFD) to improve its solution accuracy, reduce the needed computational resources and reduce overall simulation cost. ML techniques have also expanded the understanding of underlying flow physics and improved data capture from experimental fluid dynamics.

This dissertation presents an in-depth literature review and discusses ways the field of fluid dynamics has leveraged ML modeling to date. The author selects and describes …


Elementary Mathematics Curriculum: State Policy, Covid-19, And Teachers’ Control, Mona Baniahmadi, Bima Sapkota, Amy M. Olson Oct 2023

Elementary Mathematics Curriculum: State Policy, Covid-19, And Teachers’ Control, Mona Baniahmadi, Bima Sapkota, Amy M. Olson

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

In the U.S., state guidance to schools in response to the COVID-19 pandemic was politicized. We used state-level political affiliation to explore whether access to curricular resources differed pre-pandemic or during pandemic remote teaching and teachers' reported control over curricular resources during pandemic teaching. We found that pre-pandemic the percentage of teachers in Republican states reported higher levels of resources overall, and use of core and teacher-created curricular resources in particular. They also reported having greater control over their curricular decision-making during the pandemic. There were no state-level differences in teachers’ level of preparation for pandemic teaching, but teachers in …


Umaine Pfas+ Initiative — Transformative Solutions For Pfas Pollution, Vice President For Research And Dean Of The Graduate School, Office Of Research Development Oct 2023

Umaine Pfas+ Initiative — Transformative Solutions For Pfas Pollution, Vice President For Research And Dean Of The Graduate School, Office Of Research Development

General University of Maine Publications

The University of Maine PFAS+ is a multi-disciplinary initiative that focuses on the emerging PFAS pollution crisis and its cascading environmental and societal impacts. The plus sign indicates the breadth of the impacts that PFAS has on society, other emerging environmental pollutants, as well as the transformative and novel approach that UMaine realizes.

Vision

To mitigate the PFAS crisis and its consequences safely and sustainably in Maine and beyond.

Mission

To address through research and development the multifaceted challenges posed by PFAS pollution.

Purpose

Strategic planning of PFAS mitigation efforts, coordination of high quality PFAS analysis and conducting cutting edge …


A New View Of Chlorophyll Dynamics In The Southern Mid-Atlantic Bight From A Two-Year High-Resolution Spray Glider Survey, Francesco Lane Oct 2023

A New View Of Chlorophyll Dynamics In The Southern Mid-Atlantic Bight From A Two-Year High-Resolution Spray Glider Survey, Francesco Lane

OES Theses and Dissertations

The southern Mid-Atlantic Bight (MAB) near Cape Hatteras, NC, USA, is likely a hotspot for the episodic export of carbon-rich shelf waters to the open ocean. Over a 2 year period, from March 2017 to May 2019, Spray gliders repeatedly occupied transects, along the slope and across the shelf, generating high-resolution chlorophyll fluorescence (fChl) data in the southern MAB. This study implements an fChl calibration method utilizing remotely sensing ocean color as a standard. We validate the method’s utility by demonstrating a reduction in post-calibration cross-mission fChl variability and demonstrating close correspondence between the calibrated fChl data and an in …


Lithium Extraction From Aqueous Solution Using Magnesium Doped Lithium Ion-Sieve Composite, Ujjwal Pokharel Oct 2023

Lithium Extraction From Aqueous Solution Using Magnesium Doped Lithium Ion-Sieve Composite, Ujjwal Pokharel

Civil & Environmental Engineering Theses & Dissertations

This study focused on the development of a magnesium doped ion-sieve composite to extract lithium from an aqueous solution using adsorption process. The extraction process will provide a sustainable alternative to the currently practiced solar evaporation/concentration method which is very slow (takes 24 months) and water intensive. Currently, most of the lithium in the world comes from the mining of lithium or from the evaporative extraction process from the brine. Additionally, the Salton Sea area geothermal brines are recognized as potentially important domestic sources of lithium. Lithium concentration in geothermal brines from the Salton Sea area is reported to be …


Structural Insights Into The Cl-Par-4 Protein: Ionic Requirements, Conformational Transitions, And Interaction With Cisplatin, Krishna Kumar Raut Oct 2023

Structural Insights Into The Cl-Par-4 Protein: Ionic Requirements, Conformational Transitions, And Interaction With Cisplatin, Krishna Kumar Raut

Chemistry & Biochemistry Theses & Dissertations

Cancer continues to be the leading global cause of death, with challenges in early diagnosis, drug resistance, non-specific drug targeting, and cancer recurrence and metastasis posing formidable obstacles in cancer therapy. In this context, Prostate Apoptosis Response-4 (Par-4), a pro-apoptotic tumor suppressor protein, emerged as a promising therapeutic target due to its ability to selectively induce apoptosis in cancer cells, thereby minimizing the drug-associated adverse effects. However, a comprehensive understanding of the structural features of Par-4, specifically the caspase-cleaved fragment (cl-Par-4), is crucial for therapeutic advancements.

This dissertation investigated the effects of various ions, both monovalent and divalent, on the …


Figured Worlds Of Women Mathematics Education Scholars, Lili Zhou, Ricki L. Geller-Mckee, Brooke Max, Hyunyi Jung, Bima Sapkota, Jill Newton, Lindsay M. Keazer Oct 2023

Figured Worlds Of Women Mathematics Education Scholars, Lili Zhou, Ricki L. Geller-Mckee, Brooke Max, Hyunyi Jung, Bima Sapkota, Jill Newton, Lindsay M. Keazer

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Drawing on the concept of figured worlds (Holland et al., 1998), this project focuses on addressing, responding to, and understanding the self within the figured world of the mathematics education community. Specifically, we examine a group of women with diverse backgrounds in terms of race, class, and cultural contexts, who are engaged in various roles as mathematics education scholars, including teachers, teacher educators, and researchers. Using a dialogical self approach, we facilitate both internal and external discourses, exploring personal histories, narratives, and the development of evolving identities. Our findings reveal that culture and social positions, such as gender, class, and …


Semidefinite Programming Bounds For Distance Distribution Of Spherical Codes, Oleg R. Musin Oct 2023

Semidefinite Programming Bounds For Distance Distribution Of Spherical Codes, Oleg R. Musin

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

We present an extension of known semidefinite and linear programming upper bounds for spherical codes. We apply the main result for the distance distribution of a spherical code and show that this method can work effectively In particular, we get a shorter solution to the kissing number problem in dimension 4.


Auxiliary Features-Guided Super Resolution For Monte Carlo Rendering, Qiqi Hou, Feng Liu Oct 2023

Auxiliary Features-Guided Super Resolution For Monte Carlo Rendering, Qiqi Hou, Feng Liu

Computer Science Faculty Publications and Presentations

This paper investigates super-resolution to reduce the number of pixels to render and thus speed up Monte Carlo rendering algorithms. While great progress has been made to super-resolution technologies, it is essentially an ill-posed problem and cannot recover high-frequency details in renderings. To address this problem, we exploit high-resolution auxiliary features to guide super-resolution of low-resolution renderings. These high-resolution auxiliary features can be quickly rendered by a rendering engine and at the same time provide valuable high-frequency details to assist super-resolution. To this end, we develop a cross-modality transformer network that consists of an auxiliary feature branch and a low-resolution …


Effective Entity Augmentation By Querying External Data Sources, Christopher Buss, Jasmin Mousavi, Mikhail Tokarev, Arash Termehchy, David Maier, Stefan Lee Oct 2023

Effective Entity Augmentation By Querying External Data Sources, Christopher Buss, Jasmin Mousavi, Mikhail Tokarev, Arash Termehchy, David Maier, Stefan Lee

Computer Science Faculty Publications and Presentations

Users often want to augment and enrich entities in their datasets with relevant information from external data sources. As many external sources are accessible only via keyword-search interfaces, a user usually has to manually formulate a keyword query that extract relevant information for each entity. This approach is challenging as many data sources contain numerous tuples, only a small fraction of which may contain entity-relevant information. Furthermore, different datasets may represent the same information in distinct forms and under different terms (e.g., different data source may use different names to refer to the same person). In such cases, it is …


Convergence Of The Two-Point Modulus-Based Matrix Splitting Iteration Method, Ximing Fang, Ze Gu, Zhijun Qiao Oct 2023

Convergence Of The Two-Point Modulus-Based Matrix Splitting Iteration Method, Ximing Fang, Ze Gu, Zhijun Qiao

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

In this paper, we discuss the convergence of the two-point modulus-based matrix splitting iteration method for solving the linear complementarity problem. Some convergence conditions are presented from the spectral radius and the matrix norm when the system matrix is a -matrix. Besides, the quasi-optimal cases of the method are studied. Numerical experiments are provided to show the presented results.


Inequality Of Air Quality?: A Study Of Air Quality Within Housing Price Brackets In Gettysburg, Pa, Jess G. Schaefer, Alexis J. Jones, Arden H. Dowd Oct 2023

Inequality Of Air Quality?: A Study Of Air Quality Within Housing Price Brackets In Gettysburg, Pa, Jess G. Schaefer, Alexis J. Jones, Arden H. Dowd

Student Publications

With the rise of cars and other motorized vehicles has come the rise of air pollution, which tends to have disproportionate environmental and health impacts on low-income and communities of color. This study analyzes car presence and air quality on a transect within Gettysburg, PA to determine if there is a relationship between air pollution and vehicle presence, and if there is a difference in air quality between higher price bracket housing compared to campus, commercial, and lower price bracket housing. To test our research questions, we identified nine sampling locations along a transect where we measured air pollutants, including …


Analyzing The Ramifications Of Climate Change On Mental Health, Salvatore A. Medori Oct 2023

Analyzing The Ramifications Of Climate Change On Mental Health, Salvatore A. Medori

Student Publications

When thinking about the vast array of impacts that the climate crisis has on humanity, there are many things that come to mind, but mental health impacts are likely not one of them. Even though research demonstrates that mental effects from any form of disaster far exceed the physical health implications mental health impacts of the largest disaster facing humanity since the Second World War are rarely considered at all, let alone when solutions are being created. This has led to a hidden crisis emerging underneath an even larger crisis, with serious consequences for most individuals across the globe. The …


The Carbon Footprint Of Tourist Transportation In Gettysburg National Military Park, Charlie T. Cross, Justin P. Sawina Oct 2023

The Carbon Footprint Of Tourist Transportation In Gettysburg National Military Park, Charlie T. Cross, Justin P. Sawina

Student Publications

National Parks have a contradictory mandate to preserve the environment while providing resources for recreation. We studied the emissions of Gettysburg National Military Park (GNMP), specifically: What are the annual and per capita emissions caused by the various forms of transportation within the park? How does the annual and per capita emissions of GNMP compare with other national parks? To study this we compiled visitor statistics from the National Parks Service of vehicle and visitor count. We then observed 165 vehicles at Pickett’s Charge to find a breakdown of tourist vehicle types. These proportions were then used to find the …


Clean Water Saves Lives: Improving Clean Water Access In Yeakpee Town, Liberia, Mishael F. Ohanwadi Oct 2023

Clean Water Saves Lives: Improving Clean Water Access In Yeakpee Town, Liberia, Mishael F. Ohanwadi

Student Publications

Civil unrest in Liberia, a West Coast African nation, has caused the destruction of essential infrastructure, particularly water, sanitation, and hygiene (WASH) systems. As a result, there is a high reliance on unsafe water sources and prevalence of waterborne diseases and health issues, particularly in the Yeakpee Town Community. Inadequate funding has hindered progress, and there are connections between gender inequalities and limited access to clean water. The Clean Water Save Lives project, launched in 2020, aimed to provide sustainable access to clean water in Yeakpee Town community by constructing a water pump with a filtration system. The project aimed …


On The Rocks, Below The Rocks: A Study Of Intertidal Life In The Low, Middle And High Zones Of The Puerto Cabuyal – Punta San Clemente Marine Reserve During An El Niño Event, Juliana M. Ferrer Oct 2023

On The Rocks, Below The Rocks: A Study Of Intertidal Life In The Low, Middle And High Zones Of The Puerto Cabuyal – Punta San Clemente Marine Reserve During An El Niño Event, Juliana M. Ferrer

Independent Study Project (ISP) Collection

The rocky intertidal zone is one of the most difficult environments for organisms to survive in due to its harsh biotic and abiotic conditions. As such, it is also one of the best indicators of climate change and an important barrier to beach erosion. This study looked at the rocky intertidal zone of the Puerto Cabuyal-Punta San Clemente Marine Reserve in the Manabí province of Ecuador, with a focus on observing and identifying the organisms found in the area. Data was collected along 30 m transects at varying elevations along the shore using quadrants of two sizes: 50x50 cm for …


Friends In High Places: Establishing Pollination Networks For The Páramos Of Central Ecuador, Emma Diaz Oct 2023

Friends In High Places: Establishing Pollination Networks For The Páramos Of Central Ecuador, Emma Diaz

Independent Study Project (ISP) Collection

Well-known for being a global biodiversity hotspot, the Andean Páramos hosts a unique array of floristic diversity seen nowhere else in the world (Luteyn, n.d.). With the resiliency of this ecosystem dependent on the successful reproduction of these plants, it is crucial to understand the pollination network which sustains them. Modern-day research has outlined networks in the Chilean, Venezuelan, and Argentinean Páramos, but one has yet to be defined for Ecuador, despite being the suspected home to nearly half of floristic diversity in the Páramos (Arroyo et al., 1985; Pelayo et al., 2021; Medan et al., 2023; Caranqui et al., …


Community Complexity Of A Pollination Network: Analysis Of Plant-Pollinator Interactions In The Eastern Ecuadorian Cloud Forest, Anisa López-Ruiz Oct 2023

Community Complexity Of A Pollination Network: Analysis Of Plant-Pollinator Interactions In The Eastern Ecuadorian Cloud Forest, Anisa López-Ruiz

Independent Study Project (ISP) Collection

Global declines in pollinators and temporal/spatial mismatches between plants and pollinators threaten the integrity of plant-pollinator networks. Ecological network analysis provides a powerful framework for understanding the dynamics of plant-pollinator networks and measures of community complexity that can help inform areas of priority in conservation. This study observed a plant-pollinator network in a secondary forest close to the Río Zuñac Reserve in the eastern Ecuadorian cloud forest to identify assemblages of plants and pollinators and evaluate measures of community complexity, including specialization and nestedness. Flowering plants were identified and observed along a 1.2 km transect, and floral visitors to these …


Variation Of Carbon Stock Of Boca Del Drago Mangrove Forests Based On Salinity And Seaward Proximity, Fiona Wyrtzen Oct 2023

Variation Of Carbon Stock Of Boca Del Drago Mangrove Forests Based On Salinity And Seaward Proximity, Fiona Wyrtzen

Independent Study Project (ISP) Collection

Mangrove forests, at the intersection of land and sea, are considered one of the most important marine environments for their variety of ecosystem services and their ability to sequester large amounts of carbon in their biomass and adjacent soils. With a changing climate, many of the abiotic and biotic factors influencing mangroves will begin to shift, potentially impacting resilience, growth capacity, and distribution of mangroves worldwide. This study aimed to examine the influence of changing salinity on the carbon stock capacity for Rhizophora mangle and Laguncularia racemosa forests, and the distribution of biomass in each species relative to salinity in …


Intelligence Versus Inferno: How Artificial Intelligence Can Be Used To Monitor And Manage Wildfires In Europe, Maxwell Feldman Oct 2023

Intelligence Versus Inferno: How Artificial Intelligence Can Be Used To Monitor And Manage Wildfires In Europe, Maxwell Feldman

Independent Study Project (ISP) Collection

Escalating wildfire occurrences in Europe, particularly in the southern Mediterranean region, are presenting significant challenges to socioeconomic, environmental, and ecosystem services. The increasing frequency and severity of these wildfires are straining resources and emphasizing the need for a better understanding of the relationship between suppression capacity and fire behavior in wildfire management. The following research addresses the urgent need for more proactive, knowledge-based, and technologically driven fire management strategies, throughout all four stages of wildfire response – fuel and land management, fire preparedness, fire suppression, and post-fire management. Artificial Intelligence (AI) is becoming increasingly significant in climate change adaptation, especially …


Environmental Loss, Displacement, And Anxiety In Portugal: Analyzing News Articles To Differentiate Manifestations Of Environmental Distress, Robin Greene Oct 2023

Environmental Loss, Displacement, And Anxiety In Portugal: Analyzing News Articles To Differentiate Manifestations Of Environmental Distress, Robin Greene

Independent Study Project (ISP) Collection

Expressions of environmental distress can take different forms, with different symptoms, causes, and treatments. Existing literature generally identifies three primary categories of environmental distress responses: environmental grief, solastalgia, and eco-anxiety. This paper explores these distinctions and identifies words typically associated with each category in Portuguese news articles using Latent Dirichlet Allocation (LDA). LDA is a Natural Language Processing (NLP) technique that groups words into topics and identifies connections between those words based on how often those words appear together in sequences. This paper uses a modified LDA algorithm called GuidedLDA to identify additional keywords within topics defined by a list …