Digital Commons Network^™

The Effects Of Ovine-Derived Reinforced Tissue Matrix Surrounding Silicone-Based Implants In A Rat Prepectoral Reconstruction Model, Sai L Pinni, Cameron Martin, Nicholas Fadell, Xiaochao Xia, Evan Marsh, Lauren Schellhardt, Xiaowei Li, Matthew D Wood, Justin M Sacks

2020-Current year OA Pubs

Silicone-based implants have been widely used in breast reconstruction but have also been associated with poorly understood complications, including pathologic foreign body responses such as capsular contracture. In this study, we leveraged 3D-printing technology to generate silicone-based implants in a novel, anatomically relevant, prepectoral rat model. We used this model to evaluate the response to an extracellular matrix-based product: ovine-derived reinforced tissue matrix (RTM). Two-piece negative molds were developed through computer-aided design and 3D-printed. The molds were filled with various polydimethylsiloxane mixtures and dip-coated to fabricate implants. Implant material characterization revealed that the implants retained the original 3D-printed mold shape …

A Closer Look At Shielding Gas In Laser Powder Bed Fusion: A Review, Tasrif Ul Anwar, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

The ongoing advancement of additive manufacturing (AM) techniques, particularly in laser powder bed fusion (LPBF), is effectively bridging the knowledge gap between AM and conventional manufacturing methods. At present, most of the research is focused on optimizing key process parameters such as laser power, laser speed, hatch spacing, layer thickness, scan pattern, powder size distribution, and so on. These studies help improve the part density and refine the microstructure of LPBF components, thereby enhancing the mechanical properties. Despite these advancements, an area in LPBF that is receiving comparatively less attention is the shielding gas: its flow during the printing process, …

Michael Bowe ’91 And Heidi Goldsmith ’21 On Brithem Llp And The Art Of Trial Advocacy, Jennifer Bancamper

NYLS Community News

No abstract provided.

Heatwaves Compounded With Flflooding In Tampa Bay: Intensity, Frequency, And Risks, Lucas Nofsinger, Ogugua Onochie, Sidharth Sudheer, Alejandra R. Enriquez

Making Waves REU

Rising coastal temperatures and intensity of heatwaves increasing the extremity of flooding events pose growing threats to the health and resilience of coastal communities. Building on recent global compound hazard assessments (Zhou et al., 2024), this study provides a high-resolution analysis of heatwave trends across the Tampa Bay area from 1993 to 2026 using land surface temperatures (LST). To evaluate compound hazards, flood maps were sourced for comparison. LST’s were derived from 30 m Landsat imagery to characterize temperature increases in the region. Utilizing LST climatology and land cover maps, spatial and temporal warming trends were investigated. Areas of rapid …

Crispr Screens In Ipsc-Derived Neurons Reveal Principles Of Tau Proteostasis, Avi J. Samelson, Nabeela Ariqat, Justin Mcketney, Gita Rohanitazangi, Celeste Parra Bravo, Rudra S. Bose, Kyle J. Travaglini, Victor L. Lam, Darrin Goodness, Thomas Ta, Gary Dixon, Emily Marzette, Julianne Jin, Ruilin Tian, Eric Tse, Romany Abskharon, Henry S. Pan, Emma C. Carroll, Rosalie E. Lawrence, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Aggregation of the protein tau defines tauopathies, the most common age-related neurodegenerative diseases, which include Alzheimer’s disease and frontotemporal dementia. Specific neuronal subtypes are selectively vulnerable to tau aggregation, dysfunction, and death. However, molecular mechanisms underlying cell-type-selective vulnerability are unknown. To systematically uncover the cellular factors controlling the accumulation of tau aggregates in human neurons, we conducted a genome-wide CRISPRi screen in induced pluripotent stem cell (iPSC)-derived neurons. The screen uncovered both known and unexpected pathways, including UFMylation and GPI anchor biosynthesis, which control tau oligomer levels. We discovered that the E3 ubiquitin ligase CRL5^SOCS4 controls tau levels in …

Editorial Note: Genai For Academic Writing – Friend Or Foe?, Corina D. Riantoputra, Turro S. Wongkaren, Edo S. Jaya, Laras Sekarasih, Muhammad Abdan Shadiqi

Makara Human Behavior Studies in Asia

In an article published in Nature titled “ChatGPT listed as author in research papers” Stone-Walker (2023) shocks the academic community with the fact that GenAI tools such as ChatGPT and Gemini have gained a substantive role in the production of knowledge and academic writing. He reports that one research company has published 80 articles produced by GenAI in academic journals.  In the wake of Stone-Walker’s article, many publishers and journal editors set guidelines in relations to the role of GenAI in academic writings. All of them disagree to allow GenAI as an author.  Further, the Stanford University Artificial Intelligence Index …

An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multiple united-atom (UA) potential models have been developed in the literature to reproduce experimental saturated properties of n-alkanes using Monte Carlo simulations. When these UA potentials are employed in molecular dynamics (MD) simulations, MD simulations often give relatively poor predictions of saturated properties of n-alkanes, particularly the saturated vapor densities, due to the challenges in accurate calculation of long-range intermolecular forces beyond the cutoff distance in an inhomogeneous system. In this work, a new set of UA Lennard-Jones (LJ) interaction parameters for n-alkanes is proposed to reproduce the saturated properties, including saturated liquid and vapor densities (ρ_f and ρ …

Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li

Materials Science and Engineering Faculty Research & Creative Works

Twenty-year uninterrupted endeavor of titanium alloys printing has opened up a new paradigm in metal additive manufacturing (AM) to fabricate engineering components with required strength–density–corrosion combinations. Despite the remarkable advances in titanium AM, controlling the grain structure to print the parts with engineered microstructures, tailored mechanical properties, and minimum anomalies remains challenging. Numerous approaches have been implemented to address this challenge, such as printing parameter control, post-AM heat treatments, and thermomechanical processing. In addition to the aforementioned conventional approaches, novel techniques have been proposed that require employing hybrid manufacturing or developing the printer itself. One of the novel pathways in …

Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil

USF Tampa Graduate Theses and Dissertations

Organizations struggle with data quality problems that cost them millions of dollars annually. Manual data cleanup and standardizing, also known as reconciliation, can take skilled analysts days to complete and can still contain human errors. This dissertation addresses this challenge by developing and validating the Origin Data Management System, which automates processes that traditionally require days of manual work. The system achieved up to 100% accuracy in standardizing vendor names and identifying CEO information across real-world test datasets from Jefferson County Public Schools, Forbes, and Fortune Magazines. Processing time dropped from days to minutes—a 96-fold improvement over manual methods. These …

A Robust Convnext-Based Framework For Efficient, Generalizable, And Explainable Brain Tumor Classification On Mri, Kirti Pant, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate and dependable brain tumor classification from magnetic resonance imaging (MRI) is essential for clinical decision support, yet remains challenging due to inter-dataset variability, heterogeneous tumor appearances, and limited generalization of many deep learning models. Existing studies often rely on single-dataset evaluation, insufficient statistical validation, or lack interpretability, which restricts their clinical reliability and real-world deployment.

Methods: This study proposes a robust brain tumor classification framework based on the ConvNeXt Base architecture. The model is evaluated across three independent MRI datasets comprising four classes-glioma, meningioma, pituitary tumor, and no tumor. Performance is assessed using class-wise and aggregate metrics, including …

Development Status And Existing Problems Of Ion-Solvation Membranes For Electrolysis Of Water, Zheng-Yuan Zhou, Yu-Tao Sun, Zheng-Bang Liu, Chuan-Zheng Wang, Yong-Nan Zhou, Xi Luo, Tian-Chi Zhou, Jin-Li Qiao

Journal of Electrochemistry

Ion-solvaing membranes (ISMs) have received extensive attention in recent years as a key component in electrochemical energy conversion and storage devices. This article provides an overview of structural composition, performance advantages, research progress, ion conduction mechanism and existing issues of ISMs, primarily classifying them according to the matrix structure. A detailed analysis of performance enhancement methods, key performance indicators of ISMs and performance influencing factors is also presented. The article contributes to further optimizing the design and application of ion-solvation membranes, providing theoretical support for the development of fields such as hydrogen production through electrolysis of water and electrochemical energy …

Iron-Involved Orr Electrocatalysts Under The Lens Of In-Situ/Operando Mössbauer Spectroscopy, Sumbal Farid, Jun-Hu Wang

Journal of Electrochemistry

Exploring cost-effective and efficient catalysts for oxygen reduction reaction (ORR) poses a significant challenge, especially in the pursuit of alternatives to precious metals like platinum. Significant advancements have driven electrochemists to develop efficient ORR catalysts using abundant materials, particularly iron (Fe)-based, known for their exceptional performance in ORR. While the crucial function of Fe in boosting ORR catalytic activity is recognized, the connection between material attributes and catalytic performance remains enigmatic. Understanding the dynamic processes involved in oxygen electrocatalysis is paramount for designing precious-metals-free ORR electrocatalysts. Mössbauer spectroscopy stands out as a powerful technique for deciphering the structural characteristics of …

Strategic Decision-Making For Greenomina Decarbonization Efforts At Pt Pertamina (Persero), Fransisca Fitriastuti, Yos Sunitiyoso

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

This study explores the strategic decision-making process in implementing Greenomina, a digital transformation platform developed by PT Pertamina (Persero), a reputable state-owned energy company in Indonesia, to support decarbonization initiatives through carbon emission tracking and management. The analysis draws upon two frameworks: the Business Model Canvas (BMC) and the Digital Transformation Canvas (DTC). Greenomina primarily targets Scope 3 emissions, or indirect emissions from business travel and activities, by enabling employees to measure, document, and offset their carbon footprints. This study employed a qualitative approach, combining in-depth interviews and document analysis. The findings highlight key components of a successful digital business …

The Ntp Anode For Aqueous Sodium Ion Batteries: Recent Advances And Future Perspectives, Ming-Li Wang, Xue-Ying Su, Zheng-Xiang Shan, Shu-Zhe Yang, Heng-Rui Guo, Hao Luo, Dong-Liang Chao

Journal of Electrochemistry

Aqueous sodium-ion batteries (ASIBs) have attracted great attention in aqueous batteries due to their merit of high safety. However, the constrained work potential and insufficient chemical stability of anode materials in aqueous electrolytes hinder the large-scale application of ASIBs. Sodium titanium phosphate, NaTi₂(PO₄)₃ (NTP), is considered one of the most promising anode materials for ASIBs due to its excellent electrochemical performance and tunable structure. Recently, great achievements have been made in the development of NTP, however, a comprehensive review of existing studies is still lacking. This article firstly introduces the basic properties of NTP and …

Carbon Supported Octahedral Ptni Nanoparticles (Oct-Ptni/C) As A Cathode Catalyst For Proton Exchange Membrane Fuel Cells (Pemfcs) With Improved Activity And Durability, Zi-Wei Feng, Hai-Zhong Chen, Xiao Duan, Ling Tang, Yun-Kun Zhao, Long Huang

Journal of Electrochemistry

Proton exchange membrane fuel cells (PEMFCs) are considered as a promising renewable power source. However, the massive commercial application of PEMFCs has been greatly hindered by their high expense and less-satisfied performance mainly due to the sluggish oxygen reduction reaction (ORR) kinetics even on state-of-the-art Pt catalyst. Octahedral PtNi nanoparticles (oct-PtNi NPs) with excellent ORR activity in a half-cell have been widely studied, while their performance in membrane electrode assembly (MEA) has much less reported. Herein, we investigated the MEA performance using the carbon supported oct-PtNi NPs (oct-PtNi/C) as the cathode catalyst. Under the mild acid washing condition, the surface …

Performance, Economic And Environmental Evaluation Of A Solar-Assisted Vacuum Deaeration Heating System., Liew Shan Kun

Student Works (2020-2029)

This research evaluates the performance of a solar-assisted heating (SAH) system for makeup water in a vacuum deaeration process. The system integrates solar energy into the heating process, with parametric analysis conducted across varying configuration of total solar radiation and water flow rates. The total solar radiation at the experimental site in Kuala Kangsar, Perak, Malaysia, characterized by tropical weather, fell within the range between 414W/m2 to 568W/m2. Performance analysis showed that a flow rate of 0.4 LPM achieved the target temperature of 61°C required for the deaeration process. Thermal efficiency peaked at 62.60% under a solar radiation of 900 …

From Latent Manifolds To Targeted Molecular Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework For Family-Based Kinase Ligand Design, Gennady M. Verkhivker, Ryan Kassab, Keerthi Krishnan

Mathematics, Physics, and Computer Science Faculty Articles and Research

Scaffold-aware artificial intelligence (AI) models enable systematic exploration of chemical space conditioned on protein-interacting ligands, yet the representational principles governing their behavior remain poorly understood. The computational representation of structurally complex kinase small molecules remains a formidable challenge due to the high conservation of ATP active site architecture across the kinome and the topological complexity of structural scaffolds in current generative AI frameworks. In this study, we present a diagnostic, modular and chemistry-first generative framework for design of targeted SRC kinase ligands by integrating ChemVAE-based latent space modeling, a chemically interpretable structural similarity metric (Kinase Likelihood Score), Bayesian optimization, and …

A Systematic Review Of Cyber Risk Analysis Approaches For Wind Power Plants, Muhammad Arsal, Tamer Kamel, Hafizul Asad, Asiya Khan

School of Engineering, Computing and Mathematics

Wind power plants (WPPs), as large-scale cyber–physical systems (CPSs), have become essential to renewable energy generation but are increasingly exposed to cyber threats. Attacks on supervisory control and data acquisition (SCADA) networks can cause cascading physical and economic impacts. The systematic synthesis of cyber risk analysis methods specific to WPPs and cyber–physical energy systems (CPESs) is a need of the hour to identify research gaps and guide the development of resilient protection frameworks. This study employs a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to review the state of the art in this area. Peer-reviewed studies published …

Observation-Based Reconstruction Of High-Resolution Daily Temperature Field Using Lapse-Rate-Constrained Kriging In Complex Terrain: A Nationwide Dataset For South Korea, Youjeong Youn, Menas Kafatos, Seung Hee Kim, Yangwon Lee

Institute for ECHO Articles and Research

High-resolution air-temperature fields are essential for climate, hydrologic, and ecological applications in complex terrain, yet operational products often lack the spatial detail to resolve topographic effects. We develop an observation-driven reconstruction of daily air temperature fields for South Korea (2024) using ordinary kriging with lapse-rate correction (OKLR), integrating a dense network of over 500 stations from the Automatic Mountain Meteorology Observation System (AMOS) and the Automated Surface Observing System (ASOS). The OKLR framework systematically removes elevation-driven trends using a physically based fixed lapse rate (–6.5 °C km−1), performs kriging on detrended residuals, and reapplies Digital Elevation Model (DEM)-based corrections to …

Translating Cardiovascular Ion Channel And Ca2+ Signalling Mechanisms Into Therapeutic Insights, Silvia Marchianò, Miguel Martín-Aragón Baudel, Charlotte E R Smith, Gonzalo Hernandez Hernandez, Donald M Bers, Patrick M Boyle, Dobromir Dobrev, Shanna Hamilton, Osama F Harraz, Na Li, Thomas A Longden, William E Louch, Madeline Nieves-Cintron, Matthew A Nystoriak, Walter Lee Murfee, Przemysław B Radwański, Swapnil K Sonkusare, Manuel F Navedo, Eleonora Grandi

Faculty, Staff and Students Publications

Cardiovascular diseases remain the leading cause of mortality worldwide, driven by complex, multi-scale mechanisms that span molecular, cellular, and organ-level dysfunction. Effective therapeutic strategies therefore require integrative approaches that link fundamental biology to translational applications. The 8th UC Davis CardioVascular Symposium gathered experts in ion channel biophysics, Ca2+ signaling, arrhythmia mechanisms, and cardiovascular physiology to discuss recent advances and define emerging priorities. This white paper synthesizes the key themes and consensus points that emerged, highlighting progress in two core domains: (1) advances in cardiovascular electrophysiology and arrhythmia mechanisms, and (2) spatiotemporal dynamics of Ca2+ signaling in cardiac and vascular function …

Uc Agenda 2026-01-28, Northern Illinois University

University Council Archives

No abstract provided.

Optimising Anti-Seizure Medication Timing Using A Dynamic Network Model Of Seizure Rhythms, Jake Ahern, Udaya Seneviratne, Wendyl D’Souza, Mark J. Cook, John R. Terry

Peninsula Medical School

Epileptic seizures and interictal discharges exhibit robust circadian and multidien rhythms, yet the interaction between these biological cycles and anti-seizure medication (ASM) pharmacology remains poorly understood. Here, we present a dynamical network model that integrates rhythmic fluctuations in cortical excitability with pharmacokinetic properties of common ASMs to explore how treatment timing influences efficacy. The framework embeds a slow, rhythm-generating process directly within the governing equations, allowing seizure-like dynamics to emerge endogenously. We simulated ASMs with a range of distinct half-lives under single-daily and twice-daily dosing schedules. For the short half-life ASM, efficacy depended strongly on the phase of administration, with …

Wmd Transformations: When Did An Rpg Become A Wmd?, Binoy Kampmark

Fast Capitalism

No abstract provided.

Against Speed Cosmopolitanism Towards The Slow University, Jeremy Hunsinger

Fast Capitalism

No abstract provided.

Public Access: For Socially Relevant Knowledge Production And A Democratic Cybersphere, Joshua Sbicca, Robert Todd Perdue

Fast Capitalism

No abstract provided.

Mondialisation And Critiques Of Capitalism, Bregham Dalgliesh

Fast Capitalism

No abstract provided.

Critical Internet Privacy Studies, Thomas Allmer

Fast Capitalism

No abstract provided.

Hashing It Over: Green Governmentality And The Political Economy Of Food, Timothy W. Luke

Fast Capitalism

No abstract provided.

Vegans Who Run, Ben Agger

Fast Capitalism

No abstract provided.

Searching For Value In The Wastelands Of Commodity Fetishism, Robert Goldman, Andrew Miller

Fast Capitalism

No abstract provided.