Physical Sciences and Mathematics Commons^™

Mechanistic Rationale For Ketene Formation During Dabbing And Vaping, Kaelas R. Munger, Killian M. Anreise, Robert P. Jensen, David H. Peyton, Robert M. Strongin

Chemistry Faculty Publications and Presentations

Ketene is one of the most toxic vaping emissions identified to date. However, its high reactivity renders it relatively challenging to identify. In addition, certain theoretical studies have shown that realistic vaping temperature settings may betoo low to produce ketene. Each of these issues is addressed herein. First, an isotopically labeled acetate precursor is used for the identification of ketene with enhanced rigor in vaped aerosols. Second, discrepancies between theoretical and experimental findings are explained by accounting for the effects of aerobic (experimental) versus anaerobic (simulated and theoretical) pyrolysis conditions. This finding is also relevant to explaining the relatively low-temperature …

06.24.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Research Networking Lunch (LINC), NIH podcast, CREW (Community First Research Center for Wellbeing and Creative Achievement) Premier Physics Experiment

Mathematical Modeling Of Tumor Response Dynamics To Predict Progression-Free Survival In Patients With Recurrent High-Grade Glioma, Daniel James Glazar

USF Tampa Graduate Theses and Dissertations

In this dissertation, I aim to develop a mathematical model describing tumor volume response dynamics to perform individual dynamic predictions of progression-free survival (PFS) on patients with recurrent high-grade glioma (rHGG).

Patients with rHGG have a dismal prognosis with median overall survival (OS) of <12 months and median PFS of <7 months. However, there is a wide heterogeneity in treatment responses. Therefore, to aid clinicians with making decisions to alter therapeutic protocol, I would like to predict patient-specific PFS.

To perform individual dynamic predictions, I employ the Claret tumor growth inhibition (TGI) model. I further develop this model by coupling it with two different survival models. Inter-patient heterogeneity is also taken into account through mixed effects, including covariate effects. Model PFS predictions were evaluated using receiver operating characteristic (ROC) curve analysis as well as Brier …

Stochastic Analytical Predictive Models For Life Sciences And Crop Production Process, Erasmus Tetteh-Bator

USF Tampa Graduate Theses and Dissertations

Analytical predictive modeling uses algorithm-based mathematical, probabilistic and statistical methods to anticipate future events by identifying patterns in past data. It is a technique for predicting outcomes and a key application of statistical analysis in real-world scenarios. Real data-driven predictive models in various fields, such as life sciences, economics,or production industry, help individuals and institutions make data-driven informed decisions, which is essential for business success, providing companies with a competitive edge.

One of every five adult deaths is caused by heart disease and one person dies every 33 from cardiovascular disease in the United States according to the Center for …

Laboratories In Mathematical Experimentation: A Bridge To Higher Mathematics, 2nd Edition, J. William Bruce, George Cobb, Giuliana Davidoff, Christopher Dugaw, Alan Durfee, Art M. Duval, Janice Gifford, Helmut Knaust, Donal O’Shea, Mark Peterson, Harriet Pollatsek, Margaret Robinson, Lester Senechal, Robert Weaver

Textbooks and Manuals Series

This second edition is composed of a set of sixteen laboratory investigations which allow the student to explore rich and diverse ideas and concepts in mathematics. The approach is hands-on and experimental, an approach that is very much in the spirit of modern pedagogy. The course is typically offered in one semester, at the sophomore (second year) level of college. It requires prior exposure to calculus and provides a transition to the study of higher, abstract mathematics. Most of the laboratories require the use of a computer for experimentation, but the text is written independent of any particular software.

Note …

Interpenetrated Lattices Of Quaternary Chalcogenides Displaying Magnetic Frustration, High Na-Ion Conductivity, And Cation Redox In Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Srikanth Balijapelly, Sudip Mohapatra, Sutapa Bhattacharya, Kartik Ghosh, Amitava Choudhury

Chemistry Faculty Research & Creative Works

A series of quaternary selenides, NaxMGaSe₄ (M = Mn, Fe, and mixed Zn/Fe), have been synthesized for the first time employing a high-temperature solid-state synthesis route through stochiometric or polychalcogenide flux reactions. Along with the selenides, a previously reported sulfide analogue, NaxFeGaS₄, is also revisited with new findings. These compounds form an interpenetrated structure made up of a supertetrahedral unit. The electrochemical evaluations exhibit a reversible (de)intercalation of ∼0.6 and ∼0.45 Na-ions, respectively, from Na_2.87FeGaS₄ (1a) and Na_2.5FeGaSe₄ (2) involving Fe²⁺/Fe³⁺ redox when cycled between 1.5 and 2.5 …

Optimizing Cybersecurity Operations Using Data-Driven Intelligence, Jalal Ghadermazi

USF Tampa Graduate Theses and Dissertations

Cybersecurity operations centers (CSOCs) play a crucial role in safeguarding organizations from cyber threats. CSOC operations are divided into two main areas: Intrusion detection systems (IDS) and security response team (SRT) operations. Machine learning (ML) and deep learning (DL) advancements have significantly improved IDSs. IDS can be either flow-based, suitable for offline analysis, or packet-based, which analyze traffic in real-time. However, packet-based IDS often treat packets independently, ignoring the sequential nature of network communication. Additionally, recent ML/DL approaches also struggle with capturing global and structural information and novel attack detection due to their reliance on labeled data. The SRT within …

Transforming Organizational Cyber Security With Artificial Intelligence And Data-Driven Optimization, Soumyadeep Hore

USF Tampa Graduate Theses and Dissertations

This dissertation presents a comprehensive framework for enhancing organizational cybersecurity through data-driven intelligence. The research integrates multiple methodologies to tackle challenges in network intrusion detection and vulnerability management within cybersecurity operations centers (CSOCs). First, the research investigates vulnerability prioritization and mitigation techniques currently employed by CSOCs. To further streamline the vulnerability prioritization and mitigation process a machine learning (ML)-based Vulnerability Priority Scoring System (VPSS) is introduced, significantly improving the prioritization and mitigation of context-sensitive vulnerabilities. The VPSS outperforms traditional methods, reducing the cumulative vulnerability exposure score by up to 30% by considering both organizational context and vulnerability severity. Next, the …

Assessing The Impact Of An Rpp On A Large Urban School District: The Case Of Cafécs, Erin Henrick, Danny Schmidt, Steven Mcgee, Andrew M. Rasmussen, Lucia Dettori, Ronald I. Greenberg, Dale Reed, Don Yanek

Computer Science: Faculty Publications and Other Works

This study analyzes the impact of the Chicago Alliance for Equity in Computer Science (CAFÉCS) Research Practice Partnership (RPP) on the Chicago Public School (CPS) Office of Computer Science (OCS). Using a qualitative analysis drawing on data from leadership team meetings, published articles and presentations, and evaluation reports from 11 years of the partnership, we utilized a framework developed by the CAFÉCS leadership team to document the impact on district (1) Programs, (2) Research, (3) Organizational Structures, and (4) Policies leading to (5) Equitable Results for students, condensed as PROSPER. In particular, we explore the role of the RPP in …

Board 326: K-12 Teachers And Data Science: Learning Interdiscplinary Science Through Research Experiences, Katherine G. Herbert-Berger, Thomas J. Marlowe, Vaibhav Anu, Stefan A. Robila

School of Computing Faculty Scholarship and Creative Works

Data science is now pervasive across STEM, and early exposure and education in its basics will be important for the future workforce, academic programs, and scholarly research in engineering, technology, and the formal and natural sciences, and in fact, across the full spectrum of disciplines. When combined with an emphasis on soft skills and an interdisciplinary focus, such educational experiences have deeper and more meaningful effects. Our Montclair State University NSF Research Experience for Teachers (RET) grant (NSF Award Number: #2206885, IRB Number: 22-23-3003) exposed teachers to a program integrating solar weather, data science, computer science and artificial intelligence, and …

Creative Insights Into Motion: Enhancing Human Activity Understanding With 3d Data Visualization And Annotation, Isaac Browen, Hector M. Camarillo-Abad, Franceli L. Cibrian, Trudi Di Qi

Engineering Faculty Articles and Research

This paper presents a novel 3D system for human motion analysis - Motion Data Visualization and Annotation (MoViAn). Designed to provide a comprehensive visual representation of 3D human motion data, MoViAn incorporates detailed visualization of gaze direction, hand movements, and object interactions, alongside an interactive interface for efficient data annotation. A user study involving eight participants indicates that MoViAn enables users to thoroughly explore and annotate human motion data, with System Usability Scale (SUS) results demonstrating a satisfactory usability level. The contribution of this paper lies in the development of an interactive and usable data analytics tool aimed at deepening …

A Robust Data-Driven Framework For Artificial Intelligent Systems, Quoc H. Nguyen

USF Tampa Graduate Theses and Dissertations

Artificial Intelligence (AI) systems have demonstrated remarkable performance across various domains. However, their robustness remains a critical concern, particularly in terms of data and model reliability. This dissertation aims to address the challenges associated with building robust AI systems by focusing on two key aspects: data robustness and model robustness. Data robustness poses significant challenges, including data shift, concept shifting, limited and imbalanced datasets, and interoperability issues in IoT systems for data collection. Existing methods fall short in handling dynamic business objectives and evolving data landscapes effectively. To bridge these gaps, we propose an IoT framework that ensures interoperability, seamless …

Black Holes In Time: The Effect Of Grid Radiation On The Tumor Immune Microenvironment, Rebecca A. Bekker

USF Tampa Graduate Theses and Dissertations

Tumor-immune interactions shape a developing tumor and its tumor immune microenvironment (TIME) resulting in either well-infiltrated, immunologically inflamed ‘hot’ tumor beds, or ‘cold’ immune deserts with low levels of infiltration. The pre-treatment immune state of the TIME is associated with treatment outcome; immunologically hot tumors generally exhibit better responses to radio- and immunotherapy than cold tumors. However, radiotherapy is known to induce opposing immunological consequences, resulting in both immunostimulatory and inhibitory responses. In fact, it is thought that the radiation induced tumoricidal immune response is curtailed by subsequent applications of radiation. Thus, I hypothesize that spatially fractionated radiotherapy (SFRT), administered …

Automating An Industrial Dishwashing System Using Hardware-In-The-Loop Plc Simulation With Factory I/O, Paniz Khanmohammadi Hazaveh, Nathir Rawashdeh, Dunsten M. X. Dsouza, Joshua Olusola, Joshua Albrecht, Eric Houck

Michigan Tech Publications

While industrial automation is growing in many industries, the hospitality industry has not seen much technological innovation recently. This leaves a wealth of potential for the implementation of automated solutions, especially at large-scale operations, like university dining halls or cruise ship restaurants. This paper details a student project developed in the advanced programmable logic controllers class. It is part of the master program in mechatronics. Students work in groups in a creative setting, where they learn to integrate various automation technologies and learn to write scientific publications. The project implements the automation of a student dining hall dishwashing system using …

Plc Multi-Robot Integration Via Ethernet For Human Operated Quality Sampling, Jeevan S. Devagiri, Paniz Khanmohammadi Hazaveh, Nathir Rawashdeh, Sai Revanth Reddy Dudipala, Pratik Mohan Desmuhk, Aditya Prasad Karmarkar

Michigan Tech Publications

In automation, quality control inspection is a critical requirement to ensure product standards. The goal of this work is to insure product quality without interrupting the production line flow. The multi-robot system presented, connects a programmable logic controller (PLC), as the main controller, to a conveyor belt and two FANUC industrial robotic arms via EtherNet/IP. Human interaction is implemented to pick a work piece from the moving conveyor and return it with a quality label. This label is used by the PLC to execute the correct robot action; either to return the inspected part to the conveyor or discard it …

Designing Dual-Responsive Drug Delivery Systems: The Role Of Phase Change Materials And Metal-Organic Frameworks., Wanying Wei, Ping Lu

College of Science & Mathematics Departmental Research

Stimuli-responsive drug delivery systems (DDSs) offer precise control over drug release, enhancing therapeutic efficacy and minimizing side effects. This review focuses on DDSs that leverage the unique capabilities of phase change materials (PCMs) and metal-organic frameworks (MOFs) to achieve controlled drug release in response to pH and temperature changes. Specifically, this review highlights the use of a combination of lauric and stearic acids as PCMs that melt slightly above body temperature, providing a thermally responsive mechanism for drug release. Additionally, this review delves into the properties of zeolitic imidazolate framework-8 (ZIF-8), a stable MOF under physiological conditions that decomposes in …

Internalizations Of Decorated Bicategories Via Π₂-Indexings, Juan Orendain

Faculty Scholarship

We treat the problem of lifting bicategories into double categories through categories of vertical morphisms. We consider structures on decorated 2-categories allowing us to formally implement arguments of sliding certain squares along vertical subdivisions in double categories. We call these structures π₂ indexings. We present a construction associating, to every π₂ indexing on a decorated 2-category, a length 1 double internalization.

Targeting Persistence: Improving Success Of Stem Students, Teresa J. Bixby, Alec Werner

Chemistry Department Faculty Conferences

Half of STEM majors leave their program without earning a degree. Many of those who leave do so within their first two years of study. A series of exploratory investigations of the mindset, identity, and sense of community of undergraduate students were completed. Differences in mindset were found between underclassmen and upperclassmen, where upperclassmen tended towards growth mindset traits and often described undergoing a shift from fixed to growth mindset during their undergraduate career. Participation in undergraduate research was found to be a driving factor of persistence with numerous benefits, most significantly STEM identity development and sense of community.

Bounds For The Regularity Radius Of Delone Sets, Nikolay Dolbilin, Alexey Garber, Egon Schulte, Marjorie Senechal

School of Mathematical & Statistical Sciences Faculty Publications

Delone sets are discrete point sets X in Rd characterized by parameters (r, R), where (usually) 2r is the smallest inter-point distance of X, and R is the radius of a largest “empty ball” that can be inserted into the interstices of X. The regularity radius ρ^d is defined as the smallest positive number ρ such that each Delone set with congruent clusters of radius ρ is a regular system, that is, a point orbit under a crystallographic group. We discuss two conjectures on the growth behavior of the regularity radius. Our “Weak Conjecture” states that ρ^d=O(d2log2d)R as d→∞ , …

Forage Productivity Evaluation And Geographic Information Systems In Temperate Semi-Arid Agro-Ecosystem, H Salinas, R Ramirez, J Zegbe, G Medina, R A. Martinez

IGC Proceedings (1977-2023)

700,000 ha of the temperate semi-arid area of Zacatecas state are grown with rainfed crops. Low productivity is obtained from these crops: 350 kg/ha of beans grain and 500 kg/ha of corn grain. This state is characterized by a wide range of topographic and climatic values. A need for alternative crops led to establishment of a trial to evaluate rainfed forages, and to know in what range these could be located. Geographic information systems were used to find out the potential area of the species. Results indicated that sorghum presented a higher yield (5822 kgDM/ha) than sorghum x sudan (5460), …

The Effect Of Harvest Techniques On Yield, Botanical Composition And Soil Structure In An Organic Clover Grass Sward, M Lund

IGC Proceedings (1977-2023)

The objectives of this study were to find out if lighter machines with less number of wheel-passes are favourable for harvesting grassland under wet conditions. A field trial on an ecological experimental farm in Norway was performed with two different mechanization systems. One was a conventional mechanization system with reduced ground pressure tractor driving a forage harvester and grass trailers, and one less wheeling system with reduced ground pressure where a two-wheel tractor with a mower was putting the grass in a swath and a self loading trailer was picking the swath up. The field work was carried out as …

Symbiotic Potential And N Returns In Forage And Grain Legumes For Improving The N Economy Of Tropical Cropping Systems, F D. Dakora, J A. Abdogoba

IGC Proceedings (1977-2023)

There were marked cultivar and species differences in the amounts of N fixed and potential N returns in five forage legumes and ten groundnut (Arachis hypogaea L.) cultivars evaluated for symbiotic performance in both Guinea and Sahel savanna environments. Of the forage legumes, the Crotalaria and Lablab species accumulated greater symbiotic N and therefore showed higher potential N returns for improving the N economy of soils in both Guinea and Sahel savanna in Africa. However, Lablab appeared to be better adapted to the drier Sahel environment compared to the other species. When nutrient imbalances in the Guinea savanna soil …

Integration Of Forage Legumes Into Maize/Elephant Grass Systems For Dairy Farming, E N. Sabiiti, J S. Mugerwa, P Ngategize, G Kyeyune

IGC Proceedings (1977-2023)

The livestock sector contributes about 30% of the total value of agricultural production but the sector does not meet the demand for milk. Currently, there is serious migration of the rural population to urban centres and this will lead to high demand for milk and milk products. Therefore, the development of peri-urban dairy production by the small scale farmers appears a promising option to solve the problems of malnutrition, increase household incomes and improve the quality of life of these farmers. The dominant production system practised is zero-grazing using improved dairy breeds and feeding elephant grass (Pennisetum purpureum) …

Compatibility Of Stylosanthes Hamata And Stylosanthes Capitata In Mixed Pastures In The Subhumid Zone Of Nigeria, G Tarawali, M Peters

IGC Proceedings (1977-2023)

The forage productivity of sole plots of Stylosanthes capitata and Stylosanthes hamata in comparison with various proportional mixtures of the two legumes and their effect on soil properties and subsequent maize yield were studied in subhumid Nigeria. Dry matter (DM) yields in the mixtures were higher than in the sole stands, with the mixtures of S. hamata and S. capitata reaching 11959 to 14822 kg/ha over a three year period. Total nitrogen and/or organic carbon concentrations in the soil following the three years of legume were higher in the mixtures than in the sole stands, and this resulted in higher …

Corn Silage In Sustainable And Conventional Systems For Finishing Beef Cattle, J P. Fontenot, V G. Allen, L L. Scott, D H. Vaughan, C A. Laub, D B. Taylor

IGC Proceedings (1977-2023)

The objective of the research was to compare finishing beef steers on high corn (Zea mays L.) silage diets in which the corn was produced under conventional and sustainable systems. The conventional corn forage was produced on a given area for 5 yr, using conventional practices, alternating with 5 yr of alfalfa (Medicago sativa L.) The sustainable system corn forage was produced in a 4-yr rotation with small grain cover crops and legumes, in which corn was grown in a given area once every 4 yr. Input of pesticides was less for the sustainable system. Steers were fed …

Hardseededness Under Field Conditions Of Medicago Polymorpha During Five Softening Seasons In The Mediterranean Zone Of Chile, J Avendano, A Del Pozo, C Ovalle

IGC Proceedings (1977-2023)

The long term seed softening of burr medic (Medicago polymorpha L.) was studied in the field in a mediterranean environment in Chile. Burrs were collected in March of 1988, 1989, 1990 and 1991 (collecting years), and placed in the field either on the surface or buried at 1 cm depth. Field germination was recorded regularly and the remaining non-germinated seeds were tested for germination in the laboratory during 4 years. The percentage of soft seeds on soil surface burrs was on average 3.2% (mean of 4 collecting years) after the first summer in the field, and reached 83% after …

Forage Production In The Rice Fields During Dry Season Ryegrass, White Clover And Oats, A S. Raveloson, E Haraldseide

IGC Proceedings (1977-2023)

In the highland of Madagascar, lack of good forage is very acute during the dry and cool season. The cultivation of temperate forage in rice fields under irrigation is practised by farmers to feed dairycattle. The main forages which are cultivated are oats (Avena sativa), Italian rye grass (Lolium multiflorum) and white clover (. Under experimental conditions rye grass has given the highest yield, but every species have their particularities, which can be useful in forage production. Three varieties of each species were studied in 1993 and 1994. Experiments were carried at five sites in the winter …

Annual Legumes For Cropping Systems Of The North Central Usa, O B. Hesterman, A Shrestha, J W. Fisk, J M. Squire, P Jeranyama, C C. Sheaffer

IGC Proceedings (1977-2023)

On-farm and on-station research on the use of annual legumes in cropping systems was initiated in 1992 in Michigan. Research included studies on nitrogen dynamics, weed suppression ability, forage potential, utility as a cover crop, and optimum planting dates of barrel medic (Medicago truncatula Gaertn. cv. Mogul), burr medic (M. polymorpha L. cv. Santiago), snail medic (M. scutellata L. cv. Sava), and berseem clover (Trifolium alexandrinum L.). Nitrogen fertilizer replacement values (FRV) up to 76 kg ha-1 were obtained where either corn or canola followed annual legumes in rotation. The optimum seeding time of medics in …

Arachis Pintoi: A Multipurpose Legume For Sustainable Land Use, P J. Argel, P C. Kerridge, E A. Pizarro

IGC Proceedings (1977-2023)

Perennial peanut (A. pintoi) is a multiple-use tropical legume that can be used in association with a grass or as a cover crop in tree plantations. As a forage plant it has high forage quality and persistence under heavy grazing. As a cover crop and for erosion control it forms a dense cover under shade, excludes weeds and contributes to soil improvement.

Impacts Of Grazed Pastures On Soil Water And Nitrogen Status In Cropping Systems, J A. Baldlock, W D. Bellotti, A D. Moore, I Yunusa

IGC Proceedings (1977-2023)

In southern Australia pastures precede wheat in many rotations. In recent years the quality (legume content) of many pastures has declined and the value of pastures in rotation with cereals has been questioned. This research aims to develop a more complete understanding of the impact of pastures on crop production through greater knowledge of the below ground processes of soil water and soil inorganic nitrogen. In this study, the impacts of annual barley grass (Hordium leporinum) and barrel medic (Medicago truncatula) pastures on soil water and inorganic nitrogen status at the start of a subsequent wheat growing season were investigated …