Digital Commons Network^™

Use Of Nanoparticle Additives To Achieve Desirable Properties In Fluorine-Free Firefighting Foams, Annelise Kathleen Curtin

USF Tampa Graduate Theses and Dissertations

Class B Firefighting foams play a crucial role in protecting equipment and people fromliquid fuel fires but concerns regarding the impacts of per- and poly-fluoroalkyl substances (PFAS) have resulted in bans on the use of aqueous film forming foam (AFFF). Fluorine-free replacements are yet to achieve the same level of performance. Nanoparticles including silica and clay have been used to improve foam stability, especially in environments where hydrocarbon fuels are present. These materials have also been used in solid composites to improve fire resistance. The stability of aqueous foams containing silica and Laponite RD nanoparticles along with surfactants of different …

Quantification And Diversity Of A Ubiquitous Ssdna Phage Group (Gokushovirinae) In The Red Sea Through The Polony Technique, Natalie A. Sawaya

USF Tampa Graduate Theses and Dissertations

With average concentrations of 107 virus-like particles per milliliter of seawater, viruses comprise the second largest biomass in the ocean, where they are a driving force of microbial evolution and constitute important roles in Earth’s biogeochemical cycles. Bacteriophage (phage), viruses that infect bacteria, are of particular importance in the marine ecosystem as they impact the efficiency of the microbial loop, which recycles carbon in surface waters, counteracting vertical export through the biological pump. Although double-stranded DNA phage have been researched extensively, single-stranded DNA (ssDNA) phage remain understudied, mostly due to methodological limitations.

The incorporation of rolling circle amplification (RCA) into …

Dataset For Induced Resonance And Forces Imparted On Buildings From Volcano Infrasound, Owen A. Walsh, Jeffrey B. Johnson, Jerry C. Mock

Boise State University Infrasound Data Repository

Fuego, an active volcano in Guatemala, explodes regularly and generates powerful infrasound whose amplitude regularly exceeds 10 Pa at 10 km where rural communities are located. This study focuses on infrasound recorded at the Fuego Volcano Observatory, a ~250 m3 building located ~8 km from the vent. Records from infrasound sensors situated on either side of a wall facing the volcano were used to measure differential dynamic pressures of more than 50 Pa imparted on the wall facing the volcano. We calculated the building’s infrasonic response as a function of frequency for situations where interior doors were both open and …

Models Of Disability And Judicial Interpretation In India, Sanjay Jain

Book Chapters

How disability is modeled or understood is determinative in the evolution of both Disability Studies and Disability Politics. By focusing on India, this chapter demonstrates that transformation and metamorphosis in the lives of persons with disabilities is contingent and predicated on the adoption of models to evolve conceptions of disability and disability rights. Upon the ratification of the United Nations Convention on the Rights of Persons with Disabilities 2006 by India, a presumption arose that the Indian legal order embraced the social and Human rights models of disability and that disability was no longer to be viewed through the prism …

Right To Higher Education Of Persons With Disabilities: Indian Scenario, Sanjay Jain

Book Chapters

The Book "Disability: A Journey from Welfare to Right", is a collection of excellent pieces on disability laws and policies at the national and international level. This monumental work is a comprehensive exploration of the legal frameworks, policies, and jurisprudence surrounding disability rights.

Let’S Work Together: Survey Results From Faculty Who Underutilize Academic Libraries And Librarians, Jenni Burke, Daniel Kipnis, Elizabeth Novosel, Rasitha Jayasakare

Scholarship and Professional Work

No abstract provided.

Horizon Minded, Roots In Wisdom, Charles Barr

College of Business and Management Faculty Publications & Presentations

Album theme: Calm strategy and emotional freedom — winning inward. Boundaries as love, thoughts as passing clouds, and The Art of War's quiet victory: move smart, move light, move free.

# | Track | Inspired by (Book)

• 1 | Let Dem | The Let Them Theory
• 2 | A Likkle Joy | The Book of Joy
• 3 | Chase Around | —
• 4 | Just Passin | The Happiness Trap
• 5 | Art of War | The Art of War
• 6 | Light Up | —
• 7 | Horizon Minded | Creative Visualization
• 8 | Don't Hold It | The …

The Joint Effects Of Sleep And Pain, And Moderations By Work Characteristics, Christina Xuong Mu

USF Tampa Graduate Theses and Dissertations

Reactivity describes interindividual differences in the physiological or emotional responses following an antecedent stressor. For instance, higher stressor reactivity to shorter sleep (i.e., those who report greater stressor severity following shorter-than-usual sleep) and higher negative affective reactivity to stressors (i.e., those who report more negative affect following a stressful event) have worse mental and physical health. Pain reactivity to shorter sleep is a novel concept that describes differences in pain responses following a night of shorter-than-usual sleep. Higher pain reactivity to shorter sleep means that individuals report more pain locations or higher pain severity following shorter-than-usual sleep the previous night, …

Dataset For Field Parameters, Chemistry Concentrations, And Isotopes Of Water, And Down-Hole Geophysical Measurements Primarily In The Summit Area At Reynolds Creek Experimental Watershed And Critical Zone Observatory, Southwestern Idaho, Usa, Melissa E. Schegel, Kathleen A. Lohse, Jennifer Souza, Sara R. Warix, Erin M. Murray, Sarah E. Godsey, Mark S. Seyfried, Mark D. Schmitz, Bradley J. Carr, Bruce Finney, Zane Cram

Reynolds Creek Critical Zone Observatory Data

Water-rock interactions involving belowground respiratory CO₂ in groundwater constitute an understudied portion of the critical zone, which limits our understanding of global carbon cycles. For example, basalt weathering is estimated to sequester approximately 0.21 petagrams of carbon per year (PgC yr^-1), which is comparable to other systems (e.g. total terrestrial CO₂ sink: 2.9±1 PgC yr^-1, riverine fluxes: 0.78 PgC yr^-1), however these basalt weathering estimates do not account for processes in deep groundwater. At the Reynolds Creek Experimental Watershed (RCEW) and Critical Zone Observatory (CZO), located south of the western Snake River …

Macrophage-Driven Car T Cell Resistance In B Cell Lymphoma, Sae Bom Lee

USF Tampa Graduate Theses and Dissertations

Chimeric antigen receptor (CAR) T-cell therapy has revolutionized the treatment of patients with relapsed/ refractory large B cell lymphoma (LBCL). Despite its promising efficacy, a subset of patients experiences primary resistance or relapse. In Chapter 2, we explore the tumor microenvironment (TME)-induced resistance mechanisms in patients with LBCL. Analysis of the intratumoral immune infiltrates in pre-infusion tumor biopsies revealed that the levels of immunoregulatory macrophages were elevated in patients who responded poorly to axicabtagene ciloleucel (axi-cel). Using preclinical mouse B cell tumor models, we found that the CAR T-cell-produced interferon-gamma (IFN-γ) enhanced the expression of inducible nitric oxide synthase (iNOS, …

Sargassum In The Florida Keys: Assessment Using High Resolution Remote Sensing, Sarah “Sully” Sullivan

USF Tampa Graduate Theses and Dissertations

Pelagic Sargassum in the Atlantic Ocean, one type of floating macroalgae, has increased in biomass and extent since 2011, bringing environmental, health, and economic issues to coastal communities. The introduction of large quantities of Sargassum to the Florida Keys, a tourism hub renowned for coral reef and marine diversity, poses a potentially devastating threat. Currently, Sargassum mats are widely monitored using medium resolution satellite imagery such as those collected by the Moderate Resolution Imaging Spectroradiometer (MODIS, 1km) and spectral band difference algorithms such as the Alternative Floating Algae Index (AFAI), but the resulting maps lack the detail and nearshore certainty …

Supplementary Files For: "Interactive Modeling Of Bear Lake Elevations In A Future Climate", Benjamin D. Shaw, Scout Jarman, Brennan Bean, Kevin R. Moon, Wei Zhang, Nathan Butler, Tommy Bolton, April Knight, Emeline Haroldsen, Abby Funk, Rebecca Higbee

Browse all Datasets

The water level, or elevation, of Bear Lake has a significant impact on agriculture, power, infrastructure, and recreation for communities around the lake. Climatological variables, such as precipitation, temperature, and snowfall, all have an impact on the elevation of Bear Lake. As the climate changes due to greenhouse gas emissions, the typical behaviors of these climate variables change, leading to new behaviors in Bear Lake elevation. Because of the importance of Bear Lake, it is vital to be able to model and understand how Bear Lake's elevation may change in the face of different climate scenarios and to gain further …

Field-Resolved Space–Time Characterization Of Few-Cycle Structured Light Pulses, Yangyang Liu, Shima Gholam-Mirzaei Dr, Dipendra Khatri, Tran-Chau Truong, Troie D. Journigan, Christian Cabello, Christopher Lantigua, André Staudte, Paul B. Corkum, Michael Chini

Research Data and Datasets

This dataset is the original data of the manuscript 'Field-resolved space–time characterization of few-cycle structured light pulses'.

Essays In Climate Finance: Climate Risks In Real Estate And Banking, Vikas Soni

USF Tampa Graduate Theses and Dissertations

This dissertation includes two essays that examine the impact of climate risks on commercial real estate and bank performance. In the first essay, I study the impact of sea level rise (SLR) on commercial real estate (CRE) pricing and commercial lending. Using novel property level sale transactions from 2011-2018, I find that commercial properties exposed to a 6-feet sea level rise are sold at a 6% discount, which increases over time. This discount appears to be driven by local buyers and buyers’ brokers that are more sensitive to climate risks. In addition, the discount significantly rises after an extreme hurricane, …

6g Integrated Sensing And Communications Channel Modeling: Challenges And Opportunities, Ting Liu, Ke Guan, Danping He, P. Takis Mathiopoulos, Keping Yu, Zhangdui Zhong, Mohsen Guizani

Machine Learning Faculty Publications

The advent of 6G communication systems has enabled, through integrated sensing and communications (ISAC), the vision of the intelligent connection of everything. Since such ISAC systems will be utilizing the sub-6-GHz and millimeter-wave (mm-wave) bands, appropriate hybrid, i.e., sensing and communication channel models, are required for their proper operation. This article first presents a comprehensive survey of channel models used in ISAC applications viewed from different modeling perspectives by identifying the challenges encountered in these modeling approaches. A novel hybrid approach for ISAC channel modeling is then introduced wherein the modeling methodology is partitioned into three elements: targets, clutters, and …

State-Of-The-Art And Future Research Challenges In Uav Swarms, Sadaf Javed, Ali Hassan, Rizwan Ahmad, Waqas Ahmed, Rehan Ahmed, Ahsan Saadat, Mohsen Guizani

Machine Learning Faculty Publications

Due to their potential to accomplish complicated missions more effectively, UAV swarms have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved coordination, increased flexibility, survivability, and reconfigurability. It is a multidisciplinary system that necessitates a tight integration of several subsystems, including optimal trajectory planning, localization, task coordination, etc. This review covers the important aspects of UAV swarms, including swarm formation control, communication, swarm path planning, autonomy, coordination, and security. It additionally explores recent technical advancements in UAV swarm algorithms that have made the development of complex UAV swarm systems possible. This article also provides insight into …

Computation Offloading In Noma-Mec-Enabled Aerial-Vehicular Networks Exploiting Mmwave Capabilities, Amara Umar, Syed Ali Hassan, Haejoon Jung, Sahil Garg, M. Shamim Hossain, Mohsen Guizani

Machine Learning Faculty Publications

In recent years, there has been a significant interest in ubiquitous coverage, high data rate connectivity, and mobile edge computing (MEC) as crucial services within the future sixth-generation (6G) wireless networks. These services are regarded as essential components, exemplifying the advancements anticipated in 6G technology. Nevertheless, the successful implementation of these services in MEC-enabled vehicular networks significantly relies on the availability of robust network coverage and telecommunication framework. Unfortunately, in far-flung and isolated regions, such framework is often lacking, posing significant challenges in achieving uninterrupted connectivity, comprehensive coverage, and efficient computation offloading. Targeting the aforementioned horizon, in this paper, an …

Feature Selection Based On Dataset Variance Optimization Using Hybrid Sine Cosine – Firehawk Algorithm (Hscfha), Syed Kumayl Raza Moosavi, Ahsan Saadat, Zainab Abaid, Wei Ni, Kai Li, Mohsen Guizani

Machine Learning Faculty Publications

Feature selection plays a pivotal role in preprocessing data for machine learning (ML) models. It entails choosing a subset of pertinent features to enhance the model's accuracy and minimize overfitting. Wrapper methods based on metaheuristics are one approach to feature selection, leveraging the predictive accuracy of a learning algorithm to form a condensed set of features. Traditionally, this method uses K-Nearest Neighbor (KNN) for maximizing accuracy as its cost function. However, this approach often yields less than optimal results in large sample spaces and demands considerable computational resources. To circumvent the shortcomings of this approach, this work proposes a novel …

Federated Learning Meets Blockchain In Decentralized Data Sharing: Healthcare Use Case, Saeed Hamood Alsamhi, Raushan Myrzashova, Ammar Hawbani, Santosh Kumar, Sumit Srivastava, Liang Zhao, Xi Wei, Mohsen Guizan, Edward Curry

Machine Learning Faculty Publications

In the era of data-driven healthcare, the amalgamation of blockchain and federated learning (FL) introduces a paradigm shift toward secure, collaborative, and patient-centric data sharing. This article pioneers the exploration of the conceptual framework and technical synergy of FL and blockchain for decentralized data sharing, aiming to strike a balance between data utility and privacy. FL, a decentralized machine learning paradigm, enables collaborative AI model training across multiple healthcare institutions without sharing raw patient data. Combined with blockchain, a transparent and immutable ledger, it establishes an ecosystem fostering trust, security, and data integrity. This article elucidates the technical foundations of …

Implicitly Normalized Forecaster With Clipping For Linear And Non-Linear Heavy-Tailed Multi-Armed Bandits, Yuriy Dorn, Nikita Kornilov, Nikolay Kutuzov, Alexander Nazin, Eduard Gorbunov, Alexander Gasnikov

Machine Learning Faculty Publications

The Implicitly Normalized Forecaster (INF) algorithm is considered to be an optimal solution for adversarial multi-armed bandit (MAB) problems. However, most of the existing complexity results for INF rely on restrictive assumptions, such as bounded rewards. Recently, a related algorithm was proposed that works for both adversarial and stochastic heavy-tailed MAB settings. However, this algorithm fails to fully exploit the available data. In this paper, we propose a new version of INF called the Implicitly Normalized Forecaster with clipping (INF-clip) for MAB problems with heavy-tailed reward distributions. We establish convergence results under mild assumptions on the rewards distribution and demonstrate …

Reinforcement Learning-Based Dynamic Pruning For Distributed Inference Via Explainable Ai In Healthcare Iot Systems, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani

Machine Learning Faculty Publications

Deep Neural Networks (DNNs) have become the key technique to revolutionize the healthcare sector. However, conducting online remote inference is often impractical due to privacy constraints and latency requirements. To enable local computation, researchers have attempted network pruning with minimal accuracy loss or DNN distribution without affecting the performance. Yet, distributed inference can be inefficient due to the energy overhead and fluctuation of communication channels between participants. On the other hand, given that realistic healthcare systems use pre-trained models, local pruning and retraining relying only on the available scarce data is not possible. Even pre-pruned DNNs are limited in their …

Special Characters Usage And Its Effect On Password Security, Daojing He, Zhiyong Liu, Shanshan Zhu, Sammy Chan, Mohsen Guizani

Machine Learning Faculty Publications

Continuously preventing weak password attacks is one of the most important initiatives to secure IoT and smart contract platforms. Despite their significance as crucial components of passwords, special character segments have been overlooked. This study systematically investigates the basic characteristics and semantic patterns of special character segments. We assess the efficacy of special character segment characteristics in cracking trials through assimilation into the latest probabilistic context-free grammar (PCFG v4) method for password cracking by updating the preterminal structure or performing special character segment transformation. Experimental findings demonstrate that a mere 6% transformation rate improves the cracking rate by 3.72% under …

“Effects Of Semaglutide With And Without Concomitant Sglt2 Inhibitor Use In Participants With Type 2 Diabetes And Chronic Kidney Disease In The Flow Trial.”, Katherine Tuttle

Articles, Abstracts, and Reports

No abstract provided.

“The Garabedians: Father And Son Cardiologists Share Legacy In The Critical Care Of Spokane’S Children”, Carl Garabedian

Articles, Abstracts, and Reports

No abstract provided.

Ang Pambansang Gunita Sa Nobela (1907-1975), Soledad S. Reyes

Interdisciplinary Studies Faculty Publications

No abstract provided.

Giant Cervical Lymphangioma Extending From Skull Base To Clavicle- A Rare Case, Shenoy S. Vijendra, Sanchit Bajpai, Nayanika Reddy, Arun Shirali

Open Access archive

Lymphangiomas are congenital benign lesions commonly seen in pediatric age group with a rare occurrence in the region of head and neck, commonly presenting as asymptomatic masses. Cervical lymphangioma is a rare entity among adults, and giant sized lymphangiomas in this region have sparse mention in literature. This case report describes the rare presentation of a giant cervical lymphangioma and the challenges involved to treat such masses in the region of head and neck. We encountered a rare case of a 52 year old female who presented with a 10 × 5 cm swelling in the right posterior triangle of …

Liposome-Encapsulated Mannose-1-Phosphate Therapy Improves Global N-Glycosylation In Different Congenital Disorders Of Glycosylation, Rohit Budhraja, Silvia Radenkovic, Anu Jain, Irena J.J. Muffels

Open Access archive

Phosphomannomutase 2 (PMM2) converts mannose-6-phospahate to mannose-1-phosphate; the substrate for GDP-mannose, a building block of the glycosylation biosynthetic pathway. Pathogenic variants in the PMM2 gene have been shown to be associated with protein hypoglycosylation causing PMM2-congenital disorder of glycosylation (PMM2-CDG). While mannose supplementation improves glycosylation in vitro, but not in vivo, we hypothesized that liposomal delivery of mannose-1-phosphate could increase the stability and delivery of the activated sugar to enter the targeted compartments of cells. Thus, we studied the effect of liposome-encapsulated mannose-1-P (GLM101) on global protein glycosylation and on the cellular proteome in skin fibroblasts from individuals with PMM2-CDG, …

A Survey On Knowledge, Attitude & Practice Of Yakshagana Mela Artists Towards Music-Induced Hearing Loss, Radhika R. Rao, Bhargavi P. G, B. Rajashekhar

Open Access archive

Purpose: Yakshagana is a type of folk-art theatre portraying mythological and historical stories. It includes artists who play predominantly percussion instruments besides cymbals and harmonium. Professional musicians exposing themselves to deafening sounds are prone to develop noise-induced complications. [1] One such professional in the coastal districts of Karnataka state is a Yakshagana himmela (backstage) artist. There is no reported literature concerning these artists' hearing health and problems. Hence, the proposed study was aimed at developing, validating and assessing the Knowledge, Attitude and Practice (KAP)of Yakshagana Mela artists towards Music-Induced Hearing Loss (MIHL), a possible risk factor of their profession. Method: …

Intelligent Reflecting Surface Framework For Ed Based Spectrum Sensing, Rahul Kumar, Shweta Singh

Open Access archive

According to a recent study, adding intelligent reflecting surfaces (IRS) to propagation environments improves the performance of wireless devices. The capabilities of cognitive radio’s spectrum sensing over environments with assisted wireless propagation via IRS are examined in this research. Taking channel fading effects into consideration, we derive closed-form analytical expressions for the average probability of detection (APD) for single user and cooperative users. Further, the derived APD expression is used to derive the average area under the receiver operating characteristics curve (AUC¯) expression. Monte Carlo simulations are also carried out in order to validate the derived expressions. Results demonstarte the …

Mechanoresponsive Ets1 Causes Endothelial Dysfunction And Arterialization In Varicose Veins Via Notch4/Dll4 Signaling, B. J. Sreelakshmi, C. L. Karthika, S. Ahalya, S. R. Kalpana

Open Access archive

Varicose veins are the most common venous disorder in humans and are characterized by hemodynamic instability due to valvular insufficiency and orthostatic lifestyle factors. It is unclear how changes in biomechanical signals cause aberrant remodeling of the vein wall. Our previous studies suggest that Notch signaling is implicated in varicose vein arterialization. In the arterial system, mechanoresponsive ETS1 is a transcriptional activator of the endothelial Notch, but its involvement in sensing disrupted venous flow and varicose vein formation has not been investigated. Here, we use human varicose veins and cultured human venous endothelial cells to show that disturbed venous shear …