Digital Commons Network^™

Optimization Method For Operational Costs Of New Energy Alliances Considering Load Energy Block Trading Mode, Yong Cui, Yu Chen, Jian Zheng, Li Zhu, Hao Pang

Journal of Electric Power Science and Technology

To achieve system load peak shaving and valley filling, as well as real-time balancing of power differences between load peaks and valleys, a multi-energy collaborative optimization method for energy supply is proposed, integrating new and conventional energy sources. Based on the different generation characteristics of wind power, photovoltaic power, hydropower, and thermal power, an optimization model is constructed for a new energy alliance. The energy block method for peak and valley loads is first applied to determine the electricity demand to be undertaken by the alliance. Through internal resource optimization allocation and multi-agent generation combination-based multi-scale cost balancing optimization, an …

Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala

School of Computing: Dissertations, Theses, and Student Research

Multi-agent systems (MAS) possess significant potential for modeling real-world scenarios requiring coordinated actions (like wildfire fighting or ridesharing) among autonomous entities or agents (e.g., wildfire fighting agents) in complex, dynamic environments. Effective decision-theoretic planning (where each agent must carefully consider both the immediate and the future situations or states, and coordinate with the other agents (neighbors) to evaluate what needs to be done at present) within MAS, especially multiagent planning, where the planning agent directly models its neighbors in order to estimate their optimal actions, is critical, yet challenged by factors like partial observability, openness, and diverse agent types with …

Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M

Theses and Dissertations

Understanding and forecasting earthquakes is not just about science it’s about saving lives, even as the dynamic and hidden nature of Earth's tectonic processes makes this an intricate challenge. The Himalayan belt is one of the most seismically active regions globally due to the collision of the Indian and Eurasian tectonic plates. Investigating this region is essential for understanding highly complicated tectonic mechanisms and reducing substantial hazards posed to millions of people by persistent and intense seismic events. This study aims to enhance forecasting methodologies by applying machine learning techniques while dealing with the inherent challenges of geological complexity and …

Unearthing Evidence For St. Augustine’S Racial Blackness And Paralleling Augustine’S Christian Mystical Religion To Traditional African Religion’S Mysticism, Dillon Cook

Say Something Theological: The Student Journal of Theological Studies

This article undertakes two projects rendering significant ramifications for philosophy/theology, if my assertions are correct. First, the philosopher/theologian known as St. Augustine of Hippo is most saliently recognized as a “white man”; if not a white man, “a European”; if not European, “a man of Rome”; or “Mediterranean”; etc. Outside the intellectual sphere, this is how he is often depicted in art, Penguin Classic books, and so on. Yet ironically, images of Augustine rarely circulate, if at all, as a Black-African-Indigenous person. Was Augustine nonwhite? Evidence is rendered that this is indubitably the case. Could Augustine have been modernly categorized …

Analog Chip May Be Key To Unlocking Ai Power, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – Most computers use digital systems that separate memory, where data is stored, and processing, where it is used. This setup wastes energy because the computer must constantly move data back and forth, but a University of Mississippi professor is working to develop a more efficient alternative.

Full Issue, Iajbs Ateneo De Manila University

Journal of Management for Global Sustainability

No abstract provided.

Lessons From The 2023 Ieee Autonomous Drone Chase Challenge, Luigi Raphael I. Dy, Kristoffer B. Borgen, John H. Mott, Yung Hsiang Lu, Li Yu Lin, Zhangpeng Yang, James M. Goppert, Jakub Tomczak, Stefano Roccella, Andrea Vannini, Zhiwei Dong

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Dynamic Sparsification In Secure Gradient Aggregation For Federated Learning, Bikash Samanta

Master’s Dissertations

Secure aggregation is a critical component of privacy-preserving federated learning. However, existing fixed-sparsity approaches often incur unnecessary communication overhead. We present DynamicSecAgg, a novel framework that introduces dynamic sparsity while preserving coordinate-level privacy. Our method achieves significant improvements in communication efficiency while maintaining — and in some cases improving — model accuracy across both IID and non-IID user distributions. The framework maintains information-theoretic privacy guarantees via adaptive gradient thresholding and polynomial-based aggregation, proving particularly effective under heterogeneous data settings. These results establish dynamic sparsity as a key optimization for efficient and privacy-preserving federated learning.

Cloud-Assisted Multi-Channel Data Broadcasting, Debabrata Maji

Master’s Dissertations

The convergence of Internet of Things (IoT) and cloud computing has transformed technology, impacting commerce, industrial production, data management, etc. Multi- Channel Broadcast Encryption (MCBE), first introduced by Phan et al. (ASIACCS 2013), is a cryptographic encryption primitive used for both IoT and Cloud that permits a sender to e!ciently and securely encrypt several messages for di”erent groups of receivers. After thoroughly exploring the existing literature, we observe that none achieves the robust provable security within the standard model. This paper addresses this gap, aiming to achieve adaptive INDistinguishable under full-IDentity Chosen-Ciphertext Attack (IND-ID-CCA) security by constructing an e!cient identity-based …

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Groundwater Monitoring Data Summary Report (Dated May 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Butte Priority Soils Operable Unit (Bpsou) Superfund Operation And Maintenance (O&M) Request For Maintenance – Kelley Stormwater Channels (Dated April 22, 2025), Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Physical Activity Mediates Age Differences In Cognition Among Tsimane Forager-Horticulturalists, Phoebe E. Imms, Nikhil N. Chaudhari, Daniel Cummings, Daniel Eid Rodriguez, Giuseppe Barisano, Paul L. Hooper, M. Katherine Sayre, Edmond Seabright, Randall C. Thompson, M. Linda Sutherland, James D. Sutherland, Benjamin C. Trumble, Michael Gurven, Jonathan Stieglitz, Caleb E. Finch, Hillard S. Kaplan, Wendy J. Mack, Margaret Gatz, Andrei Irimia

ESI Publications

Background: The Tsimane and Moseten of the Bolivian Amazon are highly physically active and exhibit low rates of cognitive impairment and brain atrophy.

Methods: We use structural equation modelling to examine how their physical activity levels mediate the relationship between (1) age and cognition, and (2) age and cognition via brain volume (BV).

Results: Tsimane males (n = 305, mean ± SD age = 59.94 ± 9.68) and Tsimane females (n = 265, mean ± SD age = 59.28 ± 9.79) exhibit significantly higher levels of physical activity than Moseten males (n = 106, mean ± SD …

Effects Of Oxygen Manipulation On Myofibroblast Phenotypic Transformation In Patients With Radiation-Induced Fibrosis, Eric Mastrolonardo, Sarah Sussman, Bo Yun, Victor Jegede, Dev Amin, Joel Rosenbloom, Andrew P. South, Voichita Bar-Ad, Peter J Wermuth, Adam J. Luginbuhl

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

We tested if hyperoxic conditions can reduce the proportion of active myofibroblasts, which are assumed to be a major driver of head and neck radiation-induced fibrosis, as measured by expression levels of pro-fibrotic genes. Radiated, non-cancerous soft tissue from the head and neck and skin/soft tissue from non-radiated flap donor site were collected from each patient. Myofibroblast density was quantified using immunofluorescence staining with α-SMA and DAPI and visualisation under confocal microscopy and compared between baseline non-radiated and radiated tissue from the same patient. From each tissue specimen, fibroblast cell lines were cultured and exposed to either normoxic, hypoxic, or …

Re: Comments On The Repository, Haul Route, And Pipeline Geotechnical Pre-Design Investigation Summary Report (Dated May 13, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For The Draft Final Butte Priority Soils Operable Unit (Bpsou) 2022 Unreclaimed Sites Sampling: Ur-20 Site Evaluation Summary Report (Dated March 19, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ai Regulation: Competition, Arbitrage & Regulatory Capture, Filippo Lancieri, Laura Edelson, Stefan Bechtold

Georgetown Law Faculty Publications and Other Works

The commercial launch of ChatGPT in November 2022 and the fast development of large language models have catapulted the regulation of artificial intelligence to the forefront of policy debates. A vast body of scholarship, white papers, and other policy analyses followed, outlining ideal regulatory regimes for AI. The European Union and other jurisdictions have moved forward by regulating AI and LLMs. One overlooked area is the political economy of these regulatory initiatives—or how countries and companies can behave strategically and use different regulatory levers to protect their interests in the international competition on how to regulate AI.

This Article helps …

Shock Induced Droplet Aerobreakup For Newtonian And Non-Newtonian Fluids, James Leung

LSU Doctoral Dissertations

This research investigates shock-induced aerodynamic breakup (aerobreakup) of fluids with different stress-strain behaviors. The central hypothesis is that shear stress from highspeed gas flow manifests differently depending on a fluid’s strain response, influencing droplet breakup morphology, fragment size distribution, and drag-induced acceleration. To test this, experiments and simulations were performed on μm–mm sized droplets of Newtonian (water) and shear-thinning fluids (nanofluids or xanthan gum). Two experimental setups were used: an open-ended shock tube and a closed conventional shock tube. In the openended setup, a normal shock impacts a stationary droplet held by an acoustic levitator. Droplet breakup and gas dynamics …

Conditional Optimal Sets And The Quantization Coefficients For Some Uniform Distributions, Evans Nyanney, Megha Pandey, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

Bucklew and Wise (1982) showed that the quantization dimension of an absolutely continuous probability measure on a given Euclidean space is constant and equals the Euclidean dimension of the space, and the quantization coefficient exists as a finite positive number. By giving different examples, in this paper, we have shown that the quantization coefficients for absolutely continuous probability measures defined on the same Euclidean space can be different. We have taken uniform distribution as a prototype of an absolutely continuous probability measure. In addition, we have also calculated the conditional optimal sets of n-points and the nth conditional quantization errors …

From Devices To The Cloud: Digital Forensics In The Changing Social Media Landscape, Joseph Brown

LSU Master's Theses

This thesis presents a comprehensive digital forensic analysis of emerging and alternative social media platforms, including Truth Social, Threads, Bluesky, Nextdoor, and Neighbors. These platforms, which range from politically aligned alt-tech networks to hyperlocal neighborhood apps, present unique forensic challenges and security vulnerabilities. Across all case studies, established forensic techniques were applied using a hybrid methodology combining mobile device analysis, network traffic monitoring, and API interrogation. Findings include the discovery of plaintext credentials, session tokens, and other sensitive artifacts, particularly in platforms with weaker security postures such as Truth Social, Bluesky, Nextdoor, and Neighbors. Threads, by contrast, demonstrated greater resilience …

Story Forge: A Card-Based Framework For Ai-Assisted Interactive Storytelling, Yaojiong Yu, Gianni Corino, Mike Phillips

School of Art, Design and Architecture

The application of artificial intelligence has significantly advanced interactive storytelling. However, current research has predominantly concentrated on the content generation capabilities of AI, primarily following a one-way ‘input-direct generation’ model. This has led to limited practicality in AI story writing, mainly due to the absence of investigations into user-driven creative processes. Consequently, users often perceive AI-generated suggestions as unhelpful and unsatisfactory. This study introduces a novel creative tool named Story Forge, which incorporates a card-based interactive narrative approach. By utilizing interactive story element cards, the tool facilitates the integration of narrative components with artificial intelligence-generated content to establish an interactive …

Modeling The Influence Of Silicon Content On Electrochemical Performance Of Silicon-Graphite Blended Electrodes Considering Voltage Hysteresis, Mohamed Atwair, Paul T. Coman, Ralph E. White

Faculty Publications

Silicon, with its high specific capacity, is a highly promising material for lithium-ion battery anodes. To enhance durability, it is commonly combined with graphite in composite anodes. Despite this, the electrochemical dynamics between silicon and graphite are not yet fully understood. Modeling serves as an important tool for analyzing and improving batteries, but current models lack comprehensive representation of the coupled electrochemical and structural behavior of silicon-graphite blended electrodes. Herein, we present a comprehensive model for blended Si/Gr electrodes that incorporates the distinct properties and kinetics of each material. Our approach accounts for the dependence of electrode thickness and solid …

The Evolving Future Of Work: Implications For Newcomer Adaptability And Connectivity During Organizational Socialization, Talya N. Bauer, Berrin Erdogan, Allison M. Ellis, Donald M. Truxillo, Grant M. Brady, Julie M. Mccarthy

Business Faculty Publications and Presentations

Organizational socialization and the practice of onboarding new hires are central human resources functions. However, traditional socialization theory and practice were built on assumptions that are increasingly misaligned with today's work context. We identified four current, emerging, and future work trends that characterize the evolving landscape surrounding organizational socialization: technological advancement, the expansion of remote work arrangements, rising societal loneliness and mental health challenges, and aging workforce demographics. Collectively, these trends have contributed to dramatic shifts in the context and performance of work, as well as the expectations that employees and organizations hold for one another. Accordingly, we argue that …

Influence Of Zinc Oxide Nanoparticles On The Efficiency Of Oxytetracycline Removal From Wastewater Using Continuous Catalytic Ozonation, Sarmad Al-Anssari, Hassanain A. Hassan, Maha K. Mohsin, Ahmed A. Mohammed

Research outputs 2022 to 2026

Antibiotics must be fully eliminated before they are released into the environment. In most cases, conventional wastewater treatment systems are not built to handle polar microcontaminants such as antibiotics. Oxytetracycline (OTC) is one of these antibiotics, an environmental hazard contaminant in aqueous solutions. Therefore, an advanced treatment method is needed for wastewater contaminated with antibiotics. In this study, we employed zinc oxide nanoparticles (ZnO), and the catalytic ozonation procedure was employed to increase the ozonation efficiency. A continuous experiment was carried out to compare the effectiveness of catalytic and single ozonation in degrading OTC in a continuous reactor. The flow …

Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra

Mansoura Engineering Journal

With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …

Investigating The Relationships Among Suspended Sediment Concentration, And Marsh Edge Erosion In Barataria Bay, La, Lily Vowels

LSU Master's Theses

Barataria Bay, Louisiana, USA exhibits a unique microtidal, wind-driven hydrodynamic climate where extensive levee infrastructure throughout Louisiana has starved Barataria Bay and similar interdistributary bays of the historic levels of terrigenous sediment import. This has contributed to extreme coastal wetland loss in Louisiana. This project seeks to understand how hydrodynamic and meteorological conditions are linked to sediments’ fate after erosion from the marsh edge. Specifically, this project seeks to differentiate the roles of wave resuspension and marsh edge erosion (MEE) in sediment dynamics in Barataria Bay. An acoustic wave and current profiler (AWAC) was used to capture hydrodynamic conditions, and …

Improving Door-In-Door-Out Times For Stemi Transfer Patients: Impact Of A Protocolized Autolaunch Process, Hei Kit Chan, Sini Eapen, Benjamin Karfunkle

Faculty, Staff and Students Publications

Background: The timely transfer of patients with ST-segment elevation myocardial infarction (STEMI) to percutaneous coronary intervention-capable centers is critical for improving outcomes. Although the American Heart Association recommends a door-in-door-out (DIDO) time of ≤30 minutes, national compliance remains low.

Project rationale: At Harris Health, no patients with STEMI met this benchmark before 2022. We implemented a quality improvement (QI) initiative, including an "Autolaunch" process, to expedite STEMI transfers.

Project summary: During 2022-2023, we introduced QI initiatives, including the Autolaunch protocol, for patients with unequivocal STEMI. This process included rapid emergency medical services activation, direct catheterization laboratory transfer, and prearrival cardiologist …

Constitutive Il-7 Signaling Promotes Car-Nk Cell Survival In The Solid Tumor Microenvironment But Impairs Tumor Control, Josue Pineda, Corrine Baumgartner, Cliona M Rooney, Robin Parihar

Faculty, Staff and Students Publications

Background: Adoptive transfer of chimeric antigen receptor (CAR)-expressing natural killer (NK) cells has demonstrated success against hematological malignancies. Efficacy against solid tumors has been limited by poor NK cell survival and function in the suppressive tumor microenvironment (TME). To enhance efficacy against solid tumors, stimulatory cytokines have been incorporated into CAR-NK cell therapeutic approaches. However, current cytokine strategies have limitations, including systemic toxicities, exogenous dependencies, and unwanted TME bystander effects. Here, we aimed to overcome these limitations by modifying CAR-NK cells to express a constitutively active interleukin (IL)-7 receptor, termed C7R, capable of providing intrinsic CAR-NK cell activation that does …

Humanization Strategy Of The Public Urban Space In Cairo, Rania Badawy Shokry

Mansoura Engineering Journal

An accurate scientific definition of the term “humanization of cities” has not yet crystallized, which refers the term to the word from which it is derived. She is "human". Obviously, anything contrary to it is inhuman; starting from wild nature or a life entirely dependent on vehicles. If a person cannot dispense with vehicles when carrying out his daily activities, then here we know that the standard of humanization in a place is low. However, if the planning of a city or neighborhood takes into account the needs of the population and the human standard, then the city may reach …

Exploring Victorian Era Class And Culture: Representation Of The Working Class Through Joseph Skipsey's Poetry, Nathasya Josephine

International Journal of Undergraduate Research and Creative Activities

Representation of minorities has always been a problem in publication. This is especially true in Victorian society, where class stratification was rampant and class distinctions were marked as normal. As a result, many authors from underprivileged communities are overshadowed by the influential literary giants we now know as the Canons. This paper aims to shed light on one of the unknown voices representing Victorian working-class society. Specifically, it will discuss Joseph Skipsey, a working-class author who writes poems about his daily life and struggles as a miner. The focus will be on two of his poems: "Get Up" and The …

Teaching Ai Ethics And Skepticism: The Impact Of Instruction On Ethical Usage On Students’ Perceptions, Jenna D. Justin

Journal of Practitioner Research

This study investigates the ethical implications of artificial intelligence (AI) in K-12 education, focusing on how explicit instruction influences students' perceptions of AI tools like ChatGPT. Conducted with 80 sixth-grade students at A.D. Henderson University School and FAU High School, the research tracks changes in student understanding and skepticism of AI following a World History unit. Pre- and post-instruction surveys revealed a decline in comfort with AI as students became more aware of its ethical concerns, including plagiarism, bias, and misinformation. The findings suggest integrating AI ethics into the middle school curriculum to foster responsible AI usage among students.