Digital Commons Network^™

Bio-Enriched Soil Technologies (Best), Norma Arcelia Alcantar

USF Patents

A bio-enriched soil and method of production is presented. If water supply is scant, bio-enriched soil technologies (BEST) are able to attract, store, and transport water and nutrient molecules to a plant in a controlled way. If the water or nutrient resources are excessive, BEST can release the excess and supply only what is needed. Hence, bio-enriched soil can function in climates in which crops normally are under stress by increasing the bioavailability of nutrients and water.

Corporate Philanthropy: Catalyst For Sustainable Alignment Or Mere Gesture? Unveiling The Impact On People, Planet, And Profits, Cameron L. Cleveland

Masters Projects

Corporate philanthropy and sustainability initiatives have become pivotal components of modern business strategies, underscoring the increasing importance of corporate social responsibility (CSR). As businesses face mounting pressure to address global challenges such as climate change, resource depletion, and social inequality, their commitment to CSR reflects a broader recognition of their role in fostering sustainable development. This research paper conducts an in-depth examination of the philanthropic and sustainability efforts of several major corporations, including Chevron, Steelcase, MillerKnoll, Ikea, Sherwin Williams, Whirlpool Corporation, Ford Motor Company, Stryker Corporation, General Motors Company, and Kellogg Company. These companies were selected for this research study …

Knowledge Management And Semantic Reasoning: Ontology And Information Theory Enable The Construction Of Knowledge Bases And Knowledge Graphs, Quynh D. Tran, Ozan Dernek, Erika I. Barcelos, Laura S. Bruckman, Roger H. French

Researchers, Instructors, & Staff Scholarship

FAIR (Findable, Accessible, Interoperable, Reusable) principles are guidelines Wilkinson, et. al. (2016) proposed for data governance and stewardship. Ontology is a powerful tool that can achieve many aspects of all four FAIR principles. Unfortunately, there is a misconception about ontology that it is only useful for establishing FAIR data. We need to think beyond data to answer the question “So what?” after an ontology is developed. It is critical to apply FAIR principles to results, analysis, and models, which is where the concept of digital thread comes in. FAIRified results, analysis, and models can be stored in a knowledge base …

Knowledge Management Of Historical Data: Ontology Development For Chemical Reactions, Quynh D. Tran, Alexander Harding Bradley, Balashanmuga Priyan Rajamohan, Jonathan E. Gordon, Van D. Tran, Kiefer Lin, Erika I. Barcelos, Laura S. Bruckman, Roger H. French

Researchers, Instructors, & Staff Scholarship

Knowledge management of the literature and historical data is critical to accelerated drug and materials discovery. Currently, literature knowledge is scattered in journal articles in various formats: diagrams, texts, plots, etc. Historical data from past experiments are saved in a number of local computers under confusing folder structures with ambiguous file names. To manage and organize historical data and knowledge, our group (SDLE) at CWRU follows FAIR (Findable, Accessible, Interoperable, Reusable) principles, which outline the best practices for data stewardship and data provenance, and ontology, a formal representation of terms and concepts and their relationships, as a tool to improve …

Enhancing Clinical Relevance Of Pretrained Language Models Through Integration Of External Knowledge: Case Study On Cardiovascular Diagnosis From Electronic Health Records, Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

Faculty, Staff and Student Publications

Background: Despite their growing use in health care, pretrained language models (PLMs) often lack clinical relevance due to insufficient domain expertise and poor interpretability. A key strategy to overcome these challenges is integrating external knowledge into PLMs, enhancing their adaptability and clinical usefulness. Current biomedical knowledge graphs like UMLS (Unified Medical Language System), SNOMED CT (Systematized Medical Nomenclature for Medicine-Clinical Terminology), and HPO (Human Phenotype Ontology), while comprehensive, fail to effectively connect general biomedical knowledge with physician insights. There is an equally important need for a model that integrates diverse knowledge in a way that is both unified and compartmentalized. …

Predictive And Prescriptive Analytics For Minimizing The Cost Of Recidivism, Adreana Julander

Operations Research and Engineering Management Theses and Dissertations

A problem faced by the United States is the ever increasing prison population. There are inmates serving long sentences, new inmates being sentenced for the first time, and those who have previously served prison sentences that reoffend. The third group and the reduction of recidivism are the focus this dissertation. It is estimated that over 80% of inmates released from prison will reoffend within the next ten years. Is there an optimal sentence length that reduces that chance of an ex-convict reoffending? Are there programs or opportunities that some inmates have while incarcerated that reduce the probability they will return …

Bayesian Variational Inference In Keyword Identification And Multiple Instance Classification, Yaofang Hu

Statistical Science Theses and Dissertations

This dissertation investigates (1) Variational Bayesian Semi-supervised Keyword Extraction and (2) Variational Bayesian Multimodal Multiple Instance Classification.

The expansion of textual data, stemming from various sources such as online product reviews and scholarly publications on scientific discoveries, has created a demand for the extraction of succinct yet comprehensive information. As a result, in recent years, efforts have been spent in developing novel methodologies for keyword extraction. Although many methods have been proposed to automatically extract keywords in the contexts of both unsupervised and fully supervised learning, how to effectively use partially observed keywords, such as author-specified keywords, remains an under-explored …

A Fair Ontology For Aps Beamline Experiments, Gabriel Ponón, Balashanmuga Priyan Rajamohan, Mohommad Redad Mehdi, Finley Holt, Erika Barcelos, Pawan K. Tripathi, Roger H. French

Student Scholarship

Data produced at the 1-ID beamline APS are often serialized in large, disconnected tables, which can impede the effective reuse and replication of analysis performed for cutting edge research and instrumentation conducted at the facility. This poster describes an alternative approach of utilizing component-based FAIR (Findable, Accessible, Interoperable, and Reusable) ontologies as a framework for organizing and connecting experimental variables. Three packages were developed to facilitate the creation and connection of component ontologies into a fully connected FAIR ontology for an experiment. An ontology-based workflow is also discussed for beamline scientists and users to visualize and connect collected values alongside …

Investigation Of The Prevalence Of Fentanyl Analogs In A Drug Testing Population Using Liquid Chromatography Tandem Mass Spectrometry (Lc-Ms-Ms), Ivan Cordova

Student Theses

This study serves to determine the prevalence of novel fentanyl analogs that are present within a drug testing population in New York State. Samples were analyzed using liquid chromatography tandem mass spectrometry (LC-MS/MS) to qualitatively determine the presence of various possible fentanyl analogs. The sample preparation of this assay consisted of a simple dilute and shoot. This method of sample preparation can be quicker, eliminating sample preparation times as well as being less financially strenuous to clinical laboratories as it eliminates the need for various solvents and solid/liquid phase cartridges. The assay was aimed to see if analytes can be …

Enhancing Fundraising Strategies In Higher Education Through Machine Learning, Laith Alatwah

Electrical Engineering Theses

This thesis presents a comprehensive application of machine learning techniques, namely Fine Gaussian SVM and RUS Boosted Trees, to enhance fundraising strategies in higher education institutions. Analyzing a rich dataset from Blackbaud Raiser's Edge NXT, spanning 2012 to 2022, the study focuses on donor profiles, including demographics, donation history, and engagement patterns. Key demographic insights include the increasing engagement of younger donors (20-29 age group) and significant contributions from older donors (70-99 age group). Geographical trends are also examined, revealing distinct patterns based on donors' city, state, and ZIP code. The Fine Gaussian SVM model demonstrates moderate discriminatory power, with …

I. Degradable Polymers And Networks Based On Furan-Maleimide Diels-Alder Reactions Of Silyl Ether Derivatives And Maleimides, And Ii. The Michael Addition Of Amines To 1,3,5-Triacryloylhexahydro-1,3,5-Triazine (Tat) As A Synthetic Route To Novel Chelating Agents, Reyad Alkhazalah

Chemistry Theses and Dissertations

Degradable Polymers and Networks Based on Furan-Maleimide Diels-Alder Reactions of Silyl Ether Derivatives and Maleimides. I.

I. Part 1. Two groups of silyl ether monomers, A and B, were synthesized, each containing four different monomers. The monomers of group A were obtained by reacting furfuryl alcohol with four dichlorosilanes with varying siloxane spacers. The monomers of group B were obtained by reacting n-(2-hydroxyethyl)maleimide (HEMI-1c) with the same four dichlorosilanes. Each monomer from group A was individually reacted with each monomer from group B via a Diels-Alder reaction to produce a series of sixteen degradable linear polymers with a variety …

Whaley, George L., San Jose State University

Emeritus and Retired Faculty Biographies

University of Colorado, Boulder, Organizational Behavior, Finance, and Management Science, 1974 Ph.D.

University of Arizona, 1966 M.B.A.

University of Arizona, Engineering Mathematics, 1964 B.S.

Immunological Feedback Loops Generate Parasite Persistence Thresholds That Explain Variation In Infection Duration, Clayton E. Cressler, Daniel C.G. Metz, David A. Chang Van Oordt, Andrea L. Graham

School of Biological Sciences: Faculty Publications

Infection duration affects individual host fitness and between-host transmission. Whether an infection is cleared or becomes chronic depends on the complex interaction between host immune responses and parasite growth. Empirical and theoretical studies have suggested that there are critical thresholds of parasite dose that can determine clearance versus chronicity, driven by the ability of the parasite to manipulate host immunity. However, the mammalian immune response is characterized by strong positive and negative feedback loops that could generate duration thresholds even in the absence of direct immunomodulation. Here, we derive and analyse a simple model for the interaction between T-cell subpopulations …

Modeling Advancement In Spacefaring Through Deep Learning, Peng-Hung Tsai

Theses and Dissertations

Predicting advancement in space exploration technology allows space agencies and companies to strategically allocate resources, prioritize missions, and explore collaborations on complex projects. This foresight acts as a roadmap for future exploration, making the best use of valuable resources. The present study employs spacecraft lifetimes as an exemplar of technological progress and proposes a novel forecasting model based on Long Short-Term Memory (LSTM) networks. Existing research often suggests an increasing exponential relationship between technology performance and time (the generalized Moore's Law). However, applying this model directly to spacecraft lifetimes has a limitation. Spacecraft lifespans are unknown at launch, and recent …

A ‘Nuclear Bomb’ Or Just ‘A Joke’? Groundwater Models May Help Communicate Nuanced Risks To The Great Salt Lake, Matthew D. Laplante, Piyush Dahal, Shih-Yu Simon Wang, Kirsti Hakala, Avik Mukherjee

Plants, Soils, and Climate Faculty Publications

The Great Salt Lake entered the zeitgeist of environmental concern in 2022 when a coalition of scientists and activists warned in a highly publicized report that the lake might be just five years away from complete desiccation, a possibility one state official warned was tantamount to an “environmental nuclear bomb”. Shortly thereafter, an unpredicted and unprecedented pluvial winter resulted in an increase in inflow, temporarily halting the lake’s decline and prompting Utah’s governor to mock the dire prediction as “a joke”, an outcome that speaks to the tension between agenda-setting and trust-building that researchers face when sharing worst-case warnings, particularly …

Influence Of Phosphate And Boron Addition To Mixed Liquid Fertilizer On The Growth And Yield Of Red Chili Cultivated In The Subsoil Layer, Stefina Liana Sari, Emma Trinurani Sofyan, Anni Yuniarti

Jurnal Kultivasi

This study assesses the impact of adding phosphate and boron in a mixed liquid fertilizer (MLF) on the growth and yield of red chili plants cultivated in a subsoil environment. The experiment was conducted to comprehend how these nutrients affect the performance of red chili plants, particularly when cultivated in less ideal conditions such as subsoil, a remnant of excavation for brick production. The research was carried out at the Ciparanje Garden of the Faculty of Agriculture, Universitas Padjadjaran. The research design employed a Randomized Completely Block Design with the following treatments: A = Control (degraded soil without fertilizer), B …

The Effects Of Online Chemistry-Themed Design-Based Stem Education On Preservice Science Teachers’ Stem Awareness, Emine Sahin Topalcengiz, Burcin Acar-Sesen

Curriculum and Instruction Faculty Publications and Presentations

The study investigated the impact of Chemistry-Focused Online Science, Technology, Engineering, and Mathematics (STEM) teacher education on the awareness of STEM among preservice science teachers. A one-group pretest–posttest quasi-experimental weak design was used to determine changes in preservice teachers’ STEM awareness. During the study, a 14-week Chemistry-Focused Online STEM course was provided to preservice science teachers. As part of this course, the theoretical knowledge about STEM was explained to students, and afterward, they completed two modules. Furthermore, preservice teachers also developed their chemistry-themed STEM lesson plans at the beginning of the course, after explaining theoretical knowledge about STEM at the …

Three Essays In Leveraged Etfs And Cryptocurrency Price Dynamics, Md Jobaer Hossain

Electronic Theses and Dissertations Archive

In Essay 1, I examine intraday volatility spillover, market share, and information share of LETFs relative to unlevered ETFs. LETFs’ market share increases with increasing volatility, indicating that traders amplify aggregate risks arising from leverage and volatility. Moreover, price discovery of LETFs increases on volatile days, suggesting that advantageous macroeconomic information allows them to simultaneously partake in both risks. Market makers widen LETF spreads to compensate for this adverse selection. LETFs information share of 13% is 2.7 times their market share. In essay 2, I document a decline in volume, market share, and volatility of the affected currency pairs following …

A Study On Support From A Distant Learning Department At A Hispanic-Serving Institution, Bobbie Myatt, Alejandro Garcia, Velma D. Menchaca

Organization and School Leadership Faculty Publications

Online programs have made a lasting impact on institutions of higher learning for several decades. This ethnographic qualitative study focused on the development and support of a distance learning department at a Hispanic-serving institution. The study aimed to identify unique organizational elements specific to this Hispanic-serving institution. The findings were significant, revealing that the Distance Learning department, operating under an “academic umbrella”, functioned as a comprehensive hub for both faculty and student support, offering a wide range of services including technical and instructional technology support. Furthermore, the study found that the department's placement under the “academic umbrella” not only centralized …

Application Of Machine Learning For Multi-Omics Data Integration, Dhoha Abid

McKelvey School of Engineering Graduate Student Theses & Dissertations

Traditionally, machine learning (ML) is used to train a model to predict scores for instances that were not seen by the model during training. In this conventional use of ML, the model is trained to learn general patterns that relate features to labels, so it can predict accurate scores for unseen data. Here, we use ML, unconventionally, to integrate different types of noisy data. Specifically, for biological investigations, in which there is no mean to measure a ground truth. We propose to train a ML model to predict scores on the same instances that were used in its training. In …

Atlantic Richfield Company Discharge System 2023 Data Quality Assessment Berkeley Pit And Discharge Pilot Project Silver Bow Creek/Butte Area Npl Site Butte Mine Flooding Operable Unit, Wsp Environment & Infrastructure, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Can Simultaneous Integrated Boost Provide Better Dosimetric Coverage Compared To Sequential Boost In Prone Breast Treatment Of Large Breast Volumes?, Kinze Kraft

Masters Projects

Introduction: This study investigates the dosimetric differences between sequential boost (SeB) and simultaneous integrated boost (SIB) techniques in prone breast radiotherapy for patients with large breast volumes, utilizing a 3D-CRT planning technique. Prone positioning in radiotherapy has shown to be effective in reducing heart and lung doses, yet limited research exists to compare overall plan quality between SeB and SIB using this technique. This analysis aims to evaluate whether SIB provides better dosimetric coverage and reduced dose to organs at risk (OARs) compared to SeB in prone breast radiotherapy.

Methods: A retrospective analysis was conducted on data from ten patients …

An Examination Of Positive Impacts On Students' Math Success, Lauren E. Bisher

Masters Projects

In today’s classrooms, some students struggle to achieve at high levels in math. Yet, recent research describing the neuroplasticity of the brain means that, with a mathematical mindset, all students can achieve in math at the highest levels in school. Unfortunately, some capable students disengage from the subject due to a fixed mindset or holding beliefs in math myths, such as only some people are born with a math brain or math is about speed. Achievement in math can open more opportunities in a student’s future. Entrance into college and various careers that require mathematical skills become possible when students …

Madelung Mechanics And Superoscillations, Mordecai Waegell

Mathematics, Physics, and Computer Science Faculty Articles and Research

In single-particle Madelung mechanics, the single-particle quantum state Ψ(⃗x, t) = R(⃗x, t)eiS(⃗x,t)/h is interpreted as comprising an entire conserved fluid of classical point particles, with local density R(⃗x, t)2 and local momentum ⃗∇S(⃗x, t) (where R and S are real). The Schrödinger equation gives rise to the continuity equation for the fluid, and the Hamilton–Jacobi equation for particles of the fluid, which includes an additional density-dependent quantum potential energy term Q(⃗x, t) = − ¯h2 2m ⃗∇R(⃗x,t) R(⃗x,t) , which is all that makes the fluid behavior nonclassical. In particular, the quantum potential can become negative and create a …

Final Report - Integration Of Aerial Manipulation, Haptics-Based Human-In-The- Loop Control, And Augmented Reality For Bridge Deck Hosing, Paul Oh, Blake Hament, Dongbin Kim

Project AS-9

This Year 5 and Year 6 report integrates the designs, analyses, and results of the previous years. These have culminated into the design, development and deployment of a hosing-drone. This drone carries and 3000 PSI (pounds per square inch) pressure washer often used to clean bridges. This accomplishment leverages the work in aerial manipulation, human-in-the-loop control, haptics, and augmented- and virtual-reality (AR/VR) executed in prior years. Additionally, this report presents results using a cable-driven parallel robot (CDPR) and telescopic mast. This robot provides another platform that has applications in bridge inspection, maintenance and repair.

An Agent-Based Modeling Of Permafrost Melting And Virus Exposure Due To Climate Change, Nishat Ara Mozid

Theses and Dissertations

Climate change has affected human life and natural system significantly. Particularly, there is specific evidence of change in the Arctic region for climate warming. One of the consequences of climate change is the process of permafrost degradation and thawing rate of active layer. Permafrost is defined as frozen grounds that exists at a temperature of or below 0℃ for at least two consecutive years, consists of ice and novel pathogens which are frozen for a long time. Anthrax may cause a serious threat for local environment and livestock due to permafrost melting. The study introduces an agent-based modeling of permafrost …

Whole Genome Sequencing Based Analysis Of Inflammation Biomarkers In The Trans-Omics For Precision Medicine (Topmed) Consortium, Min-Zhi Jiang, Sheila M Gaynor, Xihao Li, Eric Van Buren, Adrienne Stilp, Erin Buth, Fei Fei Wang, Regina Manansala, Stephanie M Gogarten, Zilin Li, Linda M Polfus, Shabnam Salimi, Joshua C Bis, Nathan Pankratz, Lisa R Yanek, Peter Durda, Russell P Tracy, Stephen S Rich, Jerome I Rotter, Braxton D Mitchell, Joshua P Lewis, Bruce M Psaty, Katherine A Pratte, Edwin K Silverman, Robert C Kaplan, Christy Avery, Kari E North, Rasika A Mathias, Nauder Faraday, Honghuang Lin, Biqi Wang, April P Carson, Arnita F Norwood, Richard A Gibbs, Charles Kooperberg, Jessica Lundin, Ulrike Peters, Josée Dupuis, Lifang Hou, Myriam Fornage, Emelia J Benjamin, Alexander P Reiner, Russell P Bowler, Xihong Lin, Paul L Auer, Laura M Raffield, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Inflammation Working Group

Faculty, Staff and Student Publications

Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38 465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program (with varying sample size by trait, where the minimum sample size was n = 737 for MMP-1). We identified 22 distinct single-variant …

Improved Forecasting Of Leo Satellite Orbital Decay During The 25Th Solar Cycle Maximum, Ravi Teja Nallapu, Chen Yap, Mike Siegers, Isil Demir, Kiruthika Devaraj, Scott Mcintosh

Small Satellite Conference

Planet is a leading provider of global, daily satellite imagery and geospatial solutions. Planet's mission is to image the world every day and make change visible, accessible, and actionable. To enable this mission, Planet operates the world's largest constellation of Earth Observation satellites (about 180 Doves and 20 Skysats) in the LEO environment of 400-550 km. However, this latitude regime became a challenging environment as we approached the solar maximum of the 25th solar cycle. The solar cycle describes an 11-year rotation period of the Sun's magnetic poles, which is characterized by several activities like solar flares and coronal mass …

Analyzing Hiv/Aids Trends And Disparities In The Bronx: A Comparative Study With Nyc Boroughs, Caleb Adjei

CUNY Mexican Studies Institute

This study analyzes changes in reported HIV/AIDS cases over time in the Bronx, identifying the racial/ethnic groups and neighborhoods most affected by the disease. The Bronx consistently exhibits the highest rate of new HIV diagnoses among New York City’s boroughs, with Latino/Hispanic and Black populations being disproportionately impacted. Key neighborhoods like High Bridge-Morrisania, Crotona-Tremont, and Fordham-Bronx Park have the highest case concentrations. Despite advancements in healthcare and treatments like antiretroviral therapy, disparities persist. The findings highlight the need for targeted interventions to support the most affected communities and address the underlying social determinants contributing to the disparities in HIV/AIDS diagnoses.

On Q^*-Closed Sets In Fuzzy Neutrosophic Τopology: Principles, Proofs, And Examples, Hajar Y. Mohammed, Fatimah M. Mohammed, Ghada Al-Mahbashi

Neutrosophic Systems with Applications

This paper aims to present a new concept of sets known as fuzzy neutrosophic Q^*-closed sets in fuzzy neutrosophic topology. In this study, we explore and investigate more novel properties of these classes by some new definitions, theorems, and propositions. Therefore, a group of examples is presented and discussed to clarify the relationships between the new study of Q^*-closed sets with other sets.