Digital Commons Network^™

Supplementary Figure S1, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Control and mutant astrocyte like glial cells (ALGs) raw image files are attached. They are in .nd2 format- Fig S1(a-b) ALG glial cell volumes of control and mutant brains are plotted in graph and statistical analysis is included in prism file.- Fig S1c The imageJ calculation of volumes are also attached.4

Supplementary Figure S2, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Control and mutant perineurial glial cells (PNGs) raw image files are attached. They are in .nd2 format- Fig S2(a-b) Area of PNGs of control and mutant brains are plotted in graph and statistical analysis is included in prism file.- Fig S2c The imageJ calculation of volumes are also attached.

Supplementary Figure S3, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Control and mutant subperineurial glial cells (SPGs) raw image files are attached. They are in .nd2 format- Fig S3(a-b) Area of SPGs of control and mutant brains are plotted in graph and statistical analysis is included in prism file.- Fig S3c The imageJ calculation of volumes are also attached.

Supplementary Figure S4, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Control and mutant tract ensheathing glial cells (TEGs) raw image files are attached. They are in .nd2 format- Fig S4(a-b) Area of TEGs of control and mutant brains are plotted in graph and statistical analysis is included in prism file.- Fig S4c The imageJ calculation of volumes are also attached.

Supplementary Figure S5, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Control and mutant neuropil ensheathing glial cells (NEGs) raw image files are attached. They are in .nd2 format- Fig S5(a-b) Area of NEGs of control and mutant brains are plotted in graph and statistical analysis is included in prism file.- Fig S5c The imageJ calculation of volumes are also attached.

Supplementary Figure S6, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Control REPO+Dcp-1 raw image files. They are in .nd2 format- Fig S6(a-d) Mutant REPO+Dcp-1 raw image files. They are in .nd2 format- Fig S6(e-h) Colocalization data of Dcp-1 with REPO in control and mutant brains are plotted in graph and stat analysis performed- Fig S6i All the imageJ calculations are also attached.

Supplementary Figure S7, Unmila P. Jhuti, Edward M. Blumenthal

Jhuti 2024

Object based analysis of control and mutant brains plotted in graph and stat analysis included in prism file.- Fig S7 All the imageJ calculations are also attached.

"Branching Out: Examining Plant Cognition And Sentience", Steven Hansch, Leslie Barcus

Tales of WellBeing

New research on plant behavior and communication raises questions about plant awareness and sentience.

Modeling And Control Of Drug Resistance In Cancer Dynamics, James Greene

Biology and Medicine Through Mathematics Conference

No abstract provided.

Genetic Distance Matrices For Mexican Gyrinicola Description, Matthew Walker

Zoology Data Sets

The data set contains .csv files for a paper describing various Gyrinicola for future publication.

Alignments And Tree Files For Mexican Gyrinicola Description, Matthew Walker

Zoology Data Sets

This data set contains the .tree and .nxs files used for the phylogenetic inference portion of a paper for submission.

Abc It's Easy As...: Clarifying Alphabet Knowledge Development In Preschool Populations, Lauren Arielle Mckeever

USF Tampa Graduate Theses and Dissertations

Alphabet Knowledge (AK) is a critical precursor to literacy development. Despite a clear linkage between AK and childhood reading and later academic success, the progression of how this skill is acquired remains unclear. Through a series of investigations, this dissertation examined the assessment and intervention of AK in preschool populations.

The first study was a systematic review to delineate aspects of AK, focusing on instructional practices, measurement techniques, and how they align. This study synthesized existing literature on AK through a systematic review of 32 studies to identify common themes related to AK definitions, instructional content, and measurement approaches. The …

Chemoattractant Distribution In The Drosophila Egg Chamber, Lara Scott

Biology and Medicine Through Mathematics Conference

No abstract provided.

Breaking It Down: What Factors Control Microbial Decomposition Rates?, Brian M. Connolly, Nigel D'Souza, Naupaka Zimmerman, John Zobitz

Biology Faculty Teaching Materials

Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate and test hypotheses. Yet, we must foster student understanding of how matter and energy move through ecosystems to develop an appreciation of how current ecosystems function and how human-mediated global change may alter ecosystem processes. In this lesson, we describe an adaptation of the Tea Bag Index (TBI) that provides students with an inexpensive, adaptable, and easily replicated method for testing how an ecosystem function (i.e., decomposition by microorganisms) alters carbon flow …

Mugsi: Distilling Gnns With Multi-Granularity Structural Information For Graph Classification, Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen

Machine Learning Faculty Publications

Recent works have introduced GNN-to-MLP knowledge distillation (KD) frameworks to combine both GNN's superior performance and MLP's fast inference speed. However, existing KD frameworks are primarily designed for node classification within single graphs, leaving their applicability to graph classification largely unexplored. Two main challenges arise when extending KD for node classification to graph classification: (1) The inherent sparsity of learning signals due to soft labels being generated at the graph level; (2) The limited expressiveness of student MLPs, especially in datasets with limited input feature spaces. To overcome these challenges, we introduce MuGSI, a novel KD framework that employs Multi-granularity …

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Calculations From On The Existence Of Periodic Traveling-Wave Solutions To Certain Systems Of Nonlinear, Dispersive Wave Equations, Jacob Daniels

Mathematics and Statistics Student Research and Class Projects

In the field of nonlinear waves, particular interest is given to periodic traveling-wave solutions of nonlinear, dispersive wave equations. This thesis aims to determine the existence of periodic traveling-wave solutions for several systems of water wave equations. These systems are the Schr¨odinger KdV-KdV, Schr¨odinger BBM-BBM, Schr¨odinger KdV-BBM, and Schr¨odinger BBM-KdV systems, and the abcd-system. In particular, it is shown that periodic traveling-wave solutions exist and are explicitly given in terms of cnoidal, the Jacobi elliptic function. Certain solitary-wave solutions are also established as a limiting case of the periodic traveling-wave solutions, that is, as the elliptic modulus approaches one.

E-Lit Choose Your Own Adventure, Sydney L. Vlach

The Hugemanities Project Big Contest

This Choose-Your-Own-Adventure-Type of Electronic Literature was made with the application Twine, and it throws the reader into a life/death zombie apocalypse after a couple of tamer choices in the beginning of the story. It includes about 30 "choices", which can lead the "player" down a different path-- only one of which results in a "win".

A New Pharmacology For Tracheal Intubation - Or A Dangerous Distraction?, J Sneyd

Peninsula Medical School

No abstract provided.

From Generative Ai To Generative Internet Of Things: Fundamentals, Framework, And Outlooks, Jinbo Wen, Jiangtian Nie, Jiawen Kang, Dusit Niyato, Hongyang Du, Yang Zhang, Mohsen Guizani

Machine Learning Faculty Publications

Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data and facilitating advanced decision-making. By integrating GAI into modern Internet of Things (IoT), Generative Internet of Things (GIoT) is emerging and holds immense potential to revolutionize various aspects of society, enabling more efficient and intelligent IoT applications, such as smart surveillance and voice assistants. In this article, we present the concept of GIoT and conduct an exploration of its potential prospects. Specifically, we first overview four GAI techniques and investigate promising GIoT applications. Then, we elaborate on the main challenges in enabling GIoT and propose a general GAI-based secure …

Latency-Aware Placement Of Vehicular Metaverses Using Virtual Network Functions, Fatima A. Alkhoori, Latif U. Khan, Mohsen Guizani, Martin Takac

Machine Learning Faculty Publications

Recent unprecedented trend towards novel vehicular network applications (e.g., lane change assistance, collision avoidance, accident reporting, and infotainment) led to research activities towards the novel design of vehicular networks. Such a novel design can leverage metaverse architecture among various possible schemes. However, enabling the metaverse for a vehicular network requires careful placement of meta spaces (i.e., virtual network functions based on virtual machines running a virtual model of the actual network) at the network edge. Furthermore, virtual network functions will use additional entities (e.g., memory storage) to better implement meta spaces. Therefore, in this work, we consider the efficient placement …

An Energy-Efficient Wireless Blockchain Sharding Scheme For Pbft Consensus, Haoxiang Luo, Gang Sun, Hongfang Yu, Bo Lei, Mohsen Guizani

Machine Learning Faculty Publications

Blockchain technology has gained considerable attention in wireless network scenarios due to its security features. However, the complex workflow of blockchain consensus negotiation often results in high energy consumption. This may cause nodes to run out of energy quickly and go offline, especially in wireless networks with limited node battery capacity. To improve this issue, we propose a sharding scheme named Green Sharding (GS), which minimizes the energy consumption for Practical Byzantine Fault Tolerance (PBFT) consensus. The GS assigns nodes in a wireless blockchain network to specific shards based on their geographical location, thereby avoiding their participation in a global …

Is2n: Intent-Driven Security Software-Defined Network With Blockchain, Yanbo Song, Tao Feng, Chungang Yang, Xinru Mi, Shanqing Jiang, Mohsen Guizani

Machine Learning Faculty Publications

Software-defined network (SDN) is characterized by its programmability, flexibility, and the separation of control and data planes. However, SDN still have many challenges, particularly concerning the security of network information synchronization and network element registration. Blockchain and intent-driven networks are recent technologies to establish secure and intelligent SDN. This article investigates the blockchain-based architecture and intent-driven mechanisms to implement intent-driven security software-defined networks (IS2N). Specifically, we propose a novel four-layer architecture of the IS2N with security capabilities. We integrate an intent-driven security management mechanism in the IS2N to achieve automate network security management. Finally, we develop an IS2N platform with …

Metaheuristic Algorithms For 6g Wireless Communications: Recent Advances And Applications, Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni

Machine Learning Faculty Publications

The widespread distribution of intelligent applications and devices, coupled with the vast array of mobile data, technologies, and architectures within Sixth Generation (6G) networks, highlights the importance of optimization strategies. Concurrently, state-of-the-art Metaheuristic Algorithms (MHAs) have emerged as a promising optimization approach for wireless networks, bridging game theory and convex optimization domains. Falling within the domain of Artificial Intelligence (AI), MHAs draw their inspiration from Evolutionary Algorithms (EAs), which are rooted in the principle of natural selection, the principles of Swarm Intelligence (SI), and Trajectory-based Algorithms (TAs). In recent times, MHAs have been implemented in the 6G network. These simple …

Recipes - Caldo, Alejandra Gomez, Rebekah Gomez

ANTH 4306/6306 Anthropology of Borders

No abstract provided.

Accessible & Inclusive Music-Making, Lincoln Byass

Postgraduate

This research project aimed to assist musicians with intellectual disabilities in the collaborative music-making process. By designing and implementing accessible techniques, the study addressed the question: "What songwriting and music production techniques can support musicians with intellectual disabilities to create original music?" The outcome was a framework of techniques and three original compositions created in collaboration with these musicians.

Using qualitative methods such as autoethnography, action research, observations, and music-specific practices, the project involved multiple collaborative sessions where participants actively engaged in music composition and recording. Techniques included pre-production interviews, influence analysis, instrument experimentation, and lyrical exploration. The findings highlight …

Navigating The Future: Advancing Fisheries Predictions With A Front-To-Fish Approach, D. M. Lal, Harisha, N. Nagaswetha, A. Samanta

Open Access archive

Oceans, vast reservoirs of abundant fish and marine life, exhibit varying exploitation and utilisation potential across space and time. A comprehensive understanding of the complex interaction between the environment, biology, and fish movements is crucial for accurately predicting fishing grounds, a key prerequisite for sustainable fisheries. The application of remote sensing technology has significantly enhanced the predictive capabilities on fisheries. It can portray environmental variables linked to productivity across the ocean, effectively identifying potential fishing grounds. Fishing grounds around the world are often found along current boundaries, upwelling zones, eddies, continental shelves, and reef banks. Oceanic fronts typically mark these …

Smart-Lipid Nanoparticles Enabled Mrna Vaccine Elicits Cross-Reactive Humoral Responses Against The Omicron Sub-Variants, Gokulnath Mahalingam, Hari Krishnareddy Rachamalla, Porkizhi Arjunan, Karthik V. Karuppusamy

Open Access archive

The continual emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has necessitated the development of broad cross-reactive vaccines. Recent findings suggest that enhanced antigen presentation could lead to cross-reactive humoral responses against the emerging variants. Toward enhancing the antigen presentation to dendritic cells (DCs), we developed a novel shikimoylated mannose receptor targeting lipid nanoparticle (SMART-LNP) system that could effectively deliver mRNAs into DCs. To improve the translation of mRNA, we developed spike domain-based trimeric S1 (TS1) mRNA with optimized codon sequence, base modification, and engineered 5′ and 3′ UTRs. In a mouse model, SMART-LNP-TS1 vaccine could elicit robust …

Spacer Engineering On Multi-Channel Finfet For Advanced Wireless Applications, V. Bharath Sreenivasulu, Sheetal Bhandari, M. Prasad, Prashant Mani

Open Access archive

Wireless applications require a low power technology that enables DC/analog/RF functions on the same chip. It is well established fact that Multi-channel FinFET (Multifin) enhances the DC/analog/RF performance of the FET. The proposed design with spacer dielectric ensures reduced OFF current (IOFF), better subthreshold performance and improved ON current (ION) towards high performance and low power applications. Along with single-k spacer a dual-k spacer combination of (Air + Si3N4) called hybrid spacer (low-k towards gate and high-k near source/drain) is studied for the first time towards DC/analog/RF and linearity metrics of Multifin FET. The Air spacer shows extravagant performance towards …