Digital Commons Network^™

Vascular Epiphyte Population Dynamics Within Human-Modified Landscapes Of Guadalupe, Cerro Punta, Chiriquí, Panamá, Lucine Tashjian

Independent Study Project (ISP) Collection

Epiphytes are plants that grow on other plants non-parasitically, and globally, epiphytes compose a very large and diverse group. They are especially abundant and species-rich in the tropics- particularly, in tropical montane forest ecosystems. Human population growth in the tropics, however, has resulted in significant declines in forest cover with land being converted largely for agricultural purposes. Studies on epiphytes have traditionally been undertaken in pristine, undisturbed forest ecosystems, yet terrestrial land conversion has increased the need to understand the value of human-modified ecosystems for epiphytic populations and biodiversity conservation. This study sought to understand the relationship between human modification …

Chemistry Matters Spring 2024, Otterbein University Chemistry Department

Chemistry Matters Department Newsletter

In this Issue:

Letter from the Chair; Johnston Receives National Science Foundation Grant; Students and Faculty Travel to National Scientific Meetings; Department Acquires New Instrument; Chemistry Educators; Faculty Publish Book Chapters; Farewell to our Spring 2023 Graduates and Farewell to the Grote Family; Science Lecture Series Brings Dr. Diana Aga to Campus; Faculty Receive Recognition; A Wide Range of Undergraduate Chemistry Research Projects are Ongoing on Campus During 2023-24; High School Teachers Explore Art and Chemistry; The Cardy Chemistry Cluster; Students in the Department Earned Awards for Excellence.

Characterizing The Ecological Impacts Of Utility-Scale Solar Energy (Usse) On Fallowed Farmland, Amanda Gersoff

Master's Theses

Large-scale carbon-free energy generation projects such as utility-scale solar energy (USSE) arrays help mitigate the energy sector’s contribution to climate change and are rapidly expanding throughout the U.S. However, the expansion of USSE sites is associated with immediate and longer-term ecological impacts, many of which have yet to be assessed. Quantifying the ecological impacts of USSE arrays will help to identify synergies and trade-offs between energy generation and terrestrial conservation goals. The overall goal of this research is to characterize the ecological impacts of USSE sites located on fallowed farmlands in San Luis Obispo County, California in a seasonally explicit …

Exploring The Medicalization Of Menstruation: Analyzing Menstrual Hygiene Initiatives By Igos, Non-Profits And National Government In Switzerland, Victoria Wright

Independent Study Project (ISP) Collection

Menstrual health serves as a critical indicator of reproductive health. It is pivotal in achieving various Sustainable Development Goals (SDGs) related to women's and girls' comfort, agency, participation, safety, well-being, and dignity (Loughnan et al., 2020). This research investigates the medicalization of menstruation in Switzerland through a mixed-methods approach examining the strategies and roles of key stakeholders such as the WHO, local government initiatives, and NGOs in shaping the landscape of menstrual medicalization.

The findings reveal that while medicalization has brought about progressive changes, including the introduction of menstrual leave policies, it has resulted in a complex regulatory landscape, increased …

The Role Of Geomorphological Context In Vegetative Succession Within The Breiðamerkurjökull Glacial Foreland, Lucas Nerbonne

Independent Study Project (ISP) Collection

As glaciers retreat worldwide at an accelerating pace, understanding primary succession in these newly exposed landscapes becomes increasingly critical. This study examines the initial vegetative colonization patterns in glacial forelands, focusing on the influence of geomorphological formations of resulting plant communities. By analyzing vegetative communities in glaciofluvial and push moraine deposits, this study highlights how the more varied, channelized morphologies of fluvial deposits create potential microclimates better conducive to heterogenous plant colonization than the homogenous terrain of the nearby push moraine. Vegetative coverage, sediment size, and species abundance was collected at 480 sites across 6 different historical glacial extents across …

Artificial General Intelligence And The Mind-Body Problem: Exploring The Computability Of Simulated Human Intelligence In Light Of The Immaterial Mind, Caleb Parks

Senior Honors Theses

In this thesis I explore whether achieving artificial general intelligence (AGI) through simulating the human brain is theoretically possible. Because of the scientific community’s predominantly physicalist outlook on the mind-body problem, AGI research may be limited by erroneous foundational presuppositions. Arguments from linguistics and mathematics demonstrate that the human intellect is partially immaterial, opening the door for novel analysis of the mind’s simulability. I categorize mind-body problem philosophies in a manner relevant to computer science based upon state transitions, and determine their ramifications on mind-simulation. Finally, I demonstrate how classical architectures cannot resolve so-called Gödel statements, discuss why this inability …

Impact Of Pulsed Electric Field Treatment On Barley Germination For Malting, Rose Saxton, Caitlin Lahey, Brianna Smith, Emily Hibberd, Joshua Bevan, Cini Baumhoff, Ashley Galant, Jerry Young, Brian Meyer, Owen M. Mcdougal

Chemistry and Biochemistry Faculty Publications and Presentations

The malting process takes one week to steep, germinate, and kiln barley to make malt. Making quality malt is critically important to achieve the desired attributes of the finished beer, and the process is time-intensive and costly. Malt quality is assessed by indicators including β-glucan quantity, α-amylase activity, Free Amino Nitrogen (FAN) content, and overall extract concentration in the finished malt. Here, we report Pulsed Electric Field (PEF) treatment of barley to accelerate malt production. A small-scale trial of 250 g to 1.00 kg barley, was evaluated for germination at two PEF treatment conditions, generically referred to as “low” and …

A Literature Review On The Use Of Ai Technology For Medical Diagnosis, Olivia Maddock

Senior Honors Projects

The integration of technology like artificial intelligence (AI) in medical diagnosis offers a unique solution to the growing demands of healthcare providers across all fields of medicine. The purpose of the literature review is to examine current and future applications of artificial intelligence in healthcare, as well as associated challenges to implementing AI in medical decision-making and care access. The literature review was organized into sections examining current applications, limitations, and future directions. From the literature review conducted, I found that AI technology like machine learning (ML) and deep learning (DL) have the potential to optimize fields like medical diagnostics, …

Decoding Molecular Recognition Mechanism Of Small Molecule Ligand-Rna Binding Pocket Systems Using Molecular Dynamics And Metadynamics, Zhixue Bai

Legacy Theses & Dissertations (2009 - 2024)

From my PhD research, under Amber99-Chen-Garcia force field, umbrella sampling and MD simulation helped us found that the 2’-5’ phosphodiester RNA backbone linkage modification on in vitro selected neomycin RNA aptamer can transfer it to ‘amikacin RNA aptamer’ by changing the conformation and backbone rigidity of the RNA binding pocket, which further influenced the binding mode and binding pathway of amikacin. Furthermore, under the same force field, metadynamics was found more powerful for simulating the binding pathway, binding mechanism and predicting binding modes of small molecule ligand recognizing its RNA target by filling up all energy basins on free energy …

Water Current, Volume 56, No. 1, Spring 2024

Water Current Newsletter

No abstract provided.

Kicking Up Dust On Utah's Off-Road Vehicle Trails: Pi-Swerl Assessment Of Anthropogenic Dust Emissions, Wyatt A. Wiebelhaus

Honors Thesis

Upward trends in the use of off-highway vehicles (OHV) and the creation of new OHV trails facilitate an increase in soil disturbance and dust emissions in Utah. Anthropogenic destruction of soil crusts and the removal of vegetation by OHVs exposes soil and destroys soil structure, making the soil easier to erode by the wind. We used the PI-SWERL (Portable In Situ Wind Erosion Laboratory) to measure dust concentrations of disturbed and undisturbed soil. We tested soils at several popular OHV areas with landforms composed of sand dunes, playas, and Lake Bonneville sediments. Soil crust strength, grain size, and salinity were …

Optimising The Fashion E-Commerce Journey: A Data-Driven Approach To Customer Retention, Hasna Luthfiana Fadhila, Vynska Amalia Permadi, Sylvert Prian Tahalea

Knowledge Engineering and Data Science

A fashion e-commerce company offers a wide range of products from domestic and international brands that are popular with young people. However, there has been an increase in non-organically acquired customers, many of whom do not return to make repeat purchases. This has led to a higher customer churn rate, with a significant proportion of non-organically sourced customers failing to become repeat purchasers. Consequently, a churn analysis and prediction model were developed to address this issue. This paper employs the Recency, Frequency, and Monetary (RFM) framework for churn analysis and prediction. The framework is underpinned by three key dimensions: last …

Towards Low-Resource Rumor Detection: Unified Contrastive Transfer With Propagation Structure, Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Research Collection School Of Computing and Information Systems

The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics. Since there is sufficient corpus gathered from the same domain for model training, existing rumor detection algorithms show promising performance on yesterday's news. However, due to a lack of substantial training data and prior expert knowledge, they are poor at spotting rumors concerning unforeseen events, especially those propagated in different languages (i.e., low-resource regimes). In this paper, we propose a simple yet effective framework with unified contrastive transfer learning, to detect rumors by adapting the features learned from well-resourced rumor data to that …

Introduction To The Special Centennial Issue, Woodward S. Bousquet, Christopher Osgood

Virginia Journal of Science

This special issue of the Virginia Journal of Science (VJS) is dedicated to the 2023 Centennial of the Virginia Academy of Science (VAS). It includes congratulations from Commonwealth leaders, a proclamation by the Virginia General Assembly Senate, Academy members’ personal reflections, several historical papers and summaries, and portions of the program for the May 25-26, 2023 Annual Meeting in Williamsburg on the William & Mary campus.

Reflections About The Academy And Its Centennial, Marco Aldi, Woodward S. Bousquet

Virginia Journal of Science

Brief reflective essays from members of the Virginia Academy of Science were solicited as part of the Academy's centennial commemoration in 2023. The essays received demonstrate the many and varied ways in which the Academy has fostered collegiality, encouraged research, supported science education, and shaped the course of science in Virginia during the organization's 100-year history.

Historical Trends In The Astronomy, Math, And Physics Section Of The Virginia Academy Of Science, Joseph D. Rudmin

Virginia Journal of Science

A brief history of the Astronomy, Math, and Physics section of the Virginia Academy of Science is presented, noting trends in participation and content.

Virginia Academy Of Science At 100: A Presentation Given To The Chemistry Section Of The Virginia Academy Of Science, Tom Devore

Virginia Journal of Science

While I have not been an active member of the Virginia Academy of Sciences (VAS) for all of its 100 years of existence, I have seen many changes in VAS during the more than 30 years that I have been an active member. This paper, delivered at the VAS Annual Meeting at the College of William and Mary on May 25, 2023, recalls some of the outstanding scientists in Virginia that I have had the privilege of knowing and who have led and lived out the goals of VAS. They inspired me to try to live up to the high …

Exploration On Lysing Microalgae Using Pulsed Electric Fields, Fereshteh A. Bunk

Physics

With a dangerously and rapidly changing climate [1], people globally are desperate to reduce CO2 emissions and protect our environment as evidenced by global initiatives such as the United Nations’ Paris Agreement [2]. Traditional fossil fuel extraction and combustion was responsible for 74% of U.S. greenhouse gas emissions in 2019, which contributes to climate change, ocean acidification, extreme weather events, sea level rise, pollution, and health issues which contributed to 350,000 premature deaths in the U.S. in 2018 [3]. This motivates the search for alternative, more sustainable fuel production. There have been many new, more sustainable solutions to traditional fossil …

Characterizing And Developing Chemistry Students’ Data Analysis And Interpretation Of Chemical Data, Stephanie A. Berg

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

All chemistry students must develop competency in analyzing and making sense of data. However, there are many difficulties that chemistry students may experience while analyzing data. Many students may not use relevant prior knowledge to aid in making sense of data, or they may not form conclusions using all the data provided. Additionally, prior knowledge seems to influence one’s data analysis, but little is known about how students use it to make sense of data. Thus, I interviewed undergraduate students as they analyzed graphical data for a task and characterized how they used their prior knowledge throughout. My findings suggest …

Demographic Consequences Of Off-River Nesting For Piping Plover (Charadrius Melodus) And Interior Least Tern (Sternula Antillarum Athalassos) In The Lower Platte River System, Nebraska, Elsa M. Forsberg

School of Natural Resources: Dissertations, Theses, and Student Research

Piping plovers (Charadrius melodus; hereafter, plovers) and interior least terns (Sternula antillarum athalassos; hereafter, terns) are two avian species that nest along the Lower Platte River system (LPRS) in Nebraska. In the LPRS, river sandbars provide natural nesting habitat, but off-river sites provide substantial nesting habitat especially when sandbar habitat is scarce. Although presumed to be important for the persistence of plovers and terns, off-river habitat is not self-sustaining and predicted to decline. Understanding the vital rates of plovers and terns in the LPRS will inform the role of off- river sites in the future conservation …

The Effect Of Sample Grinding On Color-Based Predictions Of Soil Organic Carbon, Mason Rutgers

Honors Program: Senior Projects (Public)

Measurements of soil color are widely accessible and can be used as indirect measures of soil organic carbon (SOC). Sensor-based soil color measurements, frequently used in quantitative studies to predict SOC, often use ground and sieved soil samples for color analysis. However, it is unknown whether the extra steps of drying, crushing, and sieving a sample improve the quantitative relationship between color and SOC. This study was conducted to evaluate color-based predictions of SOC using intact, sieved (<2 mm), and fine-ground soil samples from northwest Oklahoma. Moist soil color was measured using Munsell color charts (MCCs) and a Nix Mini 3™ portable color sensor (PCS). The color of the soil samples was measured before processing, after crushing to pass through a 2-mm sieve, and after mechanical grinding to less than 0.25-mm. Using Munsell value (from the MCC) and CIEL* (from the PCS) as predictor variables, regression analyses were conducted to develop SOC predictive functions for each physical state. The resulting coefficients of determination (R2) and root mean squared errors (RMSE) were used to assess model fits for predicting SOC. Model contrasts were calculated to evaluate significant differences between each predictive model. All models exhibited strong relationships (0.56 < R2 < 0.70, 0.20 < RMSE < 0.25) between soil lightness and predicted SOC. Models built using aggregated samples measured with both MCCs (R2= 0.70, RMSE= 0.20) and the PCS (R2= 0.69, RMSE= 0.21) produced the best results. Models built using intact samples measured using the PCS did perform significantly better on samples dark in color (CIEL* < 30). These results suggest that grinding soil samples does not improve color-based predictions of SOC using MCCs and the PCS.

Hydrologic Impact Index For The Pinhoti Hiking Trail, Allie Field

Theses

Author note: The author of this thesis is also published under the name Allie Bobo.

This study aimed to identify flood-prone areas along the Pinhoti Trail and Chinnabee Silent Trail in the Talladega National Forest. Using the Hydrology Flood Index layer that was created using several essential data layers, the research aimed to provide campers, hikers, nature enthusiasts, and trail maintenance teams with information about areas at a higher risk of flash flooding. The Hydrology Flood Index layer rates the risk of flooding on a scale of 1 to 4, with level 1 indicating a low risk of flooding and …

Advanced Machine Learning Approaches For Predicting Mental Health Disorders Following Long Covid Diagnosis, Manoj Purohit

Master's Theses (2009 -)

After the global spread of COVID-19, the enduring effects of Long COVID and its health implications have emerged as a significant global issue, affecting people worldwide. The lingering symptoms post a COVID-19 infection can significantly affect individuals who had previously contracted the virus, exerting considerable influence over their mental well-being. Prolonged recuperation associated with Long COVID has been connected with the emergence of symptoms such as depression and anxiety, all of which can have adverse effects on emotional health. This project delves into an in-depth analysis of healthcare data pertaining to Long COVID from the Froedtert Health (FH) Medical System …

Mediating Effect Of Bmi On The Association Of Economic Status And Coexistence Of Hypertension And Diabetes In Bangladesh: A Counterfactual Framework-Based Weighting Approach, Foyez , Md. Jamal Hossain Ahmmed, Md. Jamal Hossain, Md Tareq Ferdous Khan, Muhammad Mahabub Rahaman Manik, Saimon Shahriar, Dulal Chandra Nandi, Md Parvej Hussain

Mathematics and Statistics Faculty Publications

Background and Aims

Non-communicable diseases such as hypertension and diabetes are matters of huge concern worldwide, with an increasing trend in prevalence over the previous decade. First of all, this study aimed to evaluate the association between economic status (ES) and body mass index (BMI), ES and comorbidity of hypertension and diabetes, and BMI and comorbidity independently. Second, it explored the mediating role of BMI in the association between ES and comorbidity of hypertension and diabetes. Finally, it investigated whether the mediating effect differs with the place of residence, gender, and education levels.

Methods

A total of 11,291 complete cases …

Synthesis And Characterization Of Heavy-Metal Oxoanion- And Phosphonate-Binding Nanojars, Pooja Singh

Dissertations

Nanojars are an emerging class of anion-binding and extraction agents. These supramolecular coordination complexes (2 nm wide) exhibit exceptional anion binding strength that points to their possible application in the recovery of toxic or valuable anions from water bodies. Nanojars of the formula (TBA)2[XO3/42−⸦{CuII(μ-OH)(μ-pyrazolate)}n] (TBA = tetrabutylammonium cation; XO3/42− = anion; X = Se, Te, Cr, Mo, W, HP, HAs, HV; n = 26 – 36) are synthesized from Cu2+, OH−, pyrazole and the TBA salts of various anions. Nanojars possess hydrophobic exteriors with an array of pyrazolate ligands and hydrophilic interiors with a …

Rewilding The Danube Delta; How Rewilding Can Revitalize Ecosystems And Restore Biomes, Antonio Martinez

Posters - 2024

The Danube Delta and the surrounding area harbors a variety of ecosystems and biodiversity from Romania to Ukraine. The 580,000-hectare delta is particularly well known for its abundance of birdlife, with the presence of 312 important bird species, many of which use the Delta as an important stopover and breeding area such as the Dalmatian Pelican (UNESCO et al.,1998). Here, also lie some of Europe’s very few remaining grazed mosaic landscapes, the beautiful wetlands. The delta region includes extensive examples of unaltered rivers, lakes, reed beds, marshes, steppes, dunes, sandbars, coasts, lagoons, salt marshes and climax forests (Rewilding Europe n.d.).This …

Magnetic Properties And Biological Relevance Of Scorpionate-Based Transition Metal Complexes, Laxmi Devkota

Dissertations (1934 -)

There are two major components to this research dissertation. The first component describes the synthesis and characterization of high-spin, first-row transition metal complexes supported by facially-coordinating “scorpionate” ligands. These studies have sought to uncover fundamental relationships between molecular structure and magnetic properties, with the ultimate aim of assisting in the design of single molecule magnets (SMMs). To this end, comprehensive series of four and five-coordinated M(II)-X complexes (M = Co, Fe, and Cu; and X = F, Cl, Br, and I) were prepared using hydrotris(pyrazol-1-yl)borate ligands (TpR,R’; where R and R’ indicate substituents at the 3- and 5-position of the …

Elucidating The Effect Of Surface Modifications On Nanomaterial Function, Nicholas Langer

Dissertations (1934 -)

Nanoparticles (NPs) are an exciting class of materials with unique properties that inspire their use in sensing, catalysis, optoelectronic devices, and more. NPs are frequently coated in organic molecules, termed ligands, to increase their stability, but ligands also influence NP catalytic activity and their interactions with neighboring molecules. To fully realize the potential of nanomaterials as key components in novel complex systems, a more nuanced understanding of the relationships between NPs, ligands, and their surrounding microenvironment is critical. After a brief review of the NP field in Chapter 1, Chapter 2 begins the investigation of structure-function relationships with a cross-class …

Convolutional Spiking Neural Networks For Intent Detection Based On Anticipatory Brain Potentials Using Electroencephalogram, Nathan Lutes, V. Sriram Siddhardh Nadendla, K. Krishnamurthy

Computer Science Faculty Research & Creative Works

Spiking neural networks (SNNs) are receiving increased attention because they mimic synaptic connections in biological systems and produce spike trains, which can be approximated by binary values for computational efficiency. Recently, the addition of convolutional layers to combine the feature extraction power of convolutional networks with the computational efficiency of SNNs has been introduced. This paper studies the feasibility of using a convolutional spiking neural network (CSNN) to detect anticipatory slow cortical potentials (SCPs) related to braking intention in human participants using an electroencephalogram (EEG). Data was collected during an experiment wherein participants operated a remote-controlled vehicle on a testbed …

2024 Research Day Program, Lincoln Memorial University

Research Day

This program contains abstracts and presentation summaries from LMU's 2024 Annual Research Day conference.