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Articles 21121 - 21150 of 1111747
Full-Text Articles in Entire DC Network
2025-12-9 Leadership Team Minutes, Susie Salazar
2025-12-9 Leadership Team Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
Fluorescent Biosensor-Guided Engineering Of Enzyme Cascades For Electrochemical Applications, Nathan J. Ricks, Monica Brachi, Fnu Arun, Egor Baiarashov, Shelley D. Minteer, Ming C. Hammond
Fluorescent Biosensor-Guided Engineering Of Enzyme Cascades For Electrochemical Applications, Nathan J. Ricks, Monica Brachi, Fnu Arun, Egor Baiarashov, Shelley D. Minteer, Ming C. Hammond
Chemistry Faculty Research & Creative Works
Substrate channeling is a strategy for enhancing flux and yield in enzymatic cascades and is increasingly relevant for applications in biocatalysis, biotechnology, and bioelectrochemical systems. However, efforts to engineer channeling are limited by the lack of high-throughput methods to evaluate and optimize channeling efficiency. Here, we present a fluorescence-based screening assay to rapidly assess substrate channeling in a model system involving fumarase and malate dehydrogenase, two sequential enzymes from the Krebs cycle. By expressing genetic fusions in Escherichia coli, quantifying intermediate (malate) and product (NADH) formation in lysate using orthogonal fluorescent readouts, and comparing product-to-intermediate ratios, we screened a library …
The Mosaic, Georgia Southern University
The Mosaic, Georgia Southern University
George-Anne Media Group: Newsletters & Magazines
No abstract provided.
The George-Anne Inkwell Edition, Georgia Southern University
The George-Anne Inkwell Edition, Georgia Southern University
The Inkwell
No abstract provided.
Innovative Strategies To Promote Financial Sustainability In Nonprofit Universities, Frank Koomson
Innovative Strategies To Promote Financial Sustainability In Nonprofit Universities, Frank Koomson
Walden Dissertations and Doctoral Studies
A lack of sustainable funding can negatively affect nonprofit universities’ ability to support students and retain qualified staff. Anchored in the Baldrige Excellence Framework, the purpose of this consulting capstone qualitative single-case study was to identify innovative strategies that nonprofit university business executives use to generate funds to promote financial sustainability. This study is important for nonprofit university executives and higher education decision-makers because effective revenue strategies can strengthen financial sustainability and support long-term organizational viability. The participant was an organizational leader with extensive experience and knowledge of the research phenomenon. Data were collected using a semistructured interview and a …
Thermal Management And Lubrication Characteristics Of Tungsten Disulfide (Ws2) Vegetable-Based Nanolubricants, Jaime Taha-Tijerina, Dyana De Leon-Elizondo, Jade Mendieta, Leonardo Taha-Soto
Thermal Management And Lubrication Characteristics Of Tungsten Disulfide (Ws2) Vegetable-Based Nanolubricants, Jaime Taha-Tijerina, Dyana De Leon-Elizondo, Jade Mendieta, Leonardo Taha-Soto
Informatics and Engineering Systems Faculty Publications
Recent innovations with the aid of nanotechnology are more frequently seen in the industrial sectors. Lubricants are a high-end commodity resource used in many manufacturing processes; unfortunately, most of these lubricants are petroleum-based, which come with certain drawbacks, such as environmental aspects, handling issues and high costs. With the incorporation of nanostructures within fluids and lubricants, novel material alternatives are replacing conventional lubrication systems, maintaining the required thermophysical and tribological characteristics. This research provides an analysis of vegetable lubricant, castor oil (CO), and the effects of the incorporation of WS2 nanofiller at diverse filler fractions. A TEMPOS thermal analyzer device …
Effects Of Fib-Based Sample Preparation On Semiconductor Strain Characterization, Daniel Carl Hedinger
Effects Of Fib-Based Sample Preparation On Semiconductor Strain Characterization, Daniel Carl Hedinger
Dissertations and Theses
Channel strain engineering has been an important topic in semiconductor manufacturing due to the significant carrier mobility gains it can provide. The need for strain characterization at the individual device level, combined with the rapidly shrinking size of semiconductor devices, has led to development of various transmission electron microscopy (TEM) based strain characterization methods including nano beam electron diffraction (NBD). These methods rely on focused ion beam (FIB) sample preparation to produce election transparent TEM samples. This dissertation studies the effect of different FIB sample preparation modalities on the measured strain in p-type 14nm FinFET devices. TEM samples were produced …
Discussion Of The Parameters Affecting The Boiling Point In The Distillation Test Of The Kerosene Product, Semaa I. Khaleel, Ahmad A. Aabid, Islam K. Saeed, Muneef Mahjoob Mohammed, Ali Mohammed Saleh, Ibrahim Awad Mohammed, Omar Abed Habeeb, Mahmod A. Abdulqader
Discussion Of The Parameters Affecting The Boiling Point In The Distillation Test Of The Kerosene Product, Semaa I. Khaleel, Ahmad A. Aabid, Islam K. Saeed, Muneef Mahjoob Mohammed, Ali Mohammed Saleh, Ibrahim Awad Mohammed, Omar Abed Habeeb, Mahmod A. Abdulqader
AUIQ Complementary Biological System
Currently the kerosene fuel is very important for use in the heating, cooking, and fuel of the jet engines. The study aims effected of mixing different lite bit and same of gasoil to three different type of kerosene samples, and study the initial boiling point (IPB) during of distillation test. This study focused on targeting the IPB of the kerosene samples by finding the specific gravity (Sp.gr) test, the American Petroleum Institute (API) degree, and distillation test. However, these samples of kerosene were characterized and labeled (kero-01, kero-02, and kero-03, respectively) before the dealing processes, while the samples after the …
Fragments, Editors Of Fragments
Scalable Monitoring Of Image And Video Quality Across Distributed Devices, Peijie Li, Ryan Chan
Scalable Monitoring Of Image And Video Quality Across Distributed Devices, Peijie Li, Ryan Chan
Defensive Publications Series
Conventional image and video quality monitoring requires the transmission of high-resolution telemetry or per-frame data to a central server for analysis, incurring significant computational overhead and network bandwidth. This disclosure describes techniques that enable scalable and automated monitoring of image quality (IQ) and video quality (VQ) on distributed devices. The techniques resolve the problem of blind spots that arise in offline-only evaluation and post-deployment performance by performing partial on-device aggregation and compression that yields substantial bandwidth efficiency. Quality regressions are proactively detected before public user complaints surface.
Hybrid Vortex‑Resonant Seismic Isolation Module (Cern‑Ohl‑P), Michael Victor Caldwell Mr.
Hybrid Vortex‑Resonant Seismic Isolation Module (Cern‑Ohl‑P), Michael Victor Caldwell Mr.
Defensive Publications Series
This disclosure describes a research‑stage concept for a Hybrid Vortex‑Resonant Seismic Isolation Module, a passive fluid‑structure interaction system intended to explore alternative approaches to seismic energy dissipation. The design uses an annular chamber with internal helical vanes to induce vortex‑based rotational flow, creating a phase‑lag between ground motion and fluid motion. Analytical modeling and finite‑element simulations suggest potential reductions in modeled structural acceleration when tuned to building‑specific resonance frequencies. The system geometry, vane parameters, and fluid viscosity are presented along with resonance‑tuning equations and a proposed validation roadmap including numerical modeling, component‑level flow testing, and shake‑table evaluation. All performance values …
Vortex‑Jet V‑J1: 12v Vortex‑Enhanced Combustion Heater (Cern‑Ohl‑P), Michael Victor Caldwell Mr.
Vortex‑Jet V‑J1: 12v Vortex‑Enhanced Combustion Heater (Cern‑Ohl‑P), Michael Victor Caldwell Mr.
Defensive Publications Series
The Vortex‑Jet V‑J1 is a 12‑volt, open‑hardware combustion heater that uses a vortex‑stabilized chamber with triple‑sawtooth J‑grooves and a dendritic fin assembly (Arachne #23) to improve burn efficiency and thermal management. Bench testing indicates approximately 3,500 BTU/hr thermal output, with combustion efficiency near 98% and carbon monoxide levels below 50 ppm measured at 0.5 m from the exhaust. The system integrates a 7075‑T6 aluminum combustion core, a TiO₂‑reinforced outer shell, a 12V variable‑frequency fan, and an ESP32‑based controller with fail‑closed fuel logic and optional LoRa telemetry. The prototype bill of materials is $285, with projected cost of $152 per unit …
Gci Oncology Suite V2.3–V2.4: Multi‑Modal Delivery Architecture And Open‑Hardware Performance Benchmarks (Cern‑Ohl‑P), Michael Victor Caldwell Mr.
Gci Oncology Suite V2.3–V2.4: Multi‑Modal Delivery Architecture And Open‑Hardware Performance Benchmarks (Cern‑Ohl‑P), Michael Victor Caldwell Mr.
Defensive Publications Series
GCI Oncology Suite v2.3–v2.4 expands the v2.1 delivery platform with additional open‑hardware modules designed to increase therapeutic transport into solid tumors. Bench testing, phantom‑model evaluations, and literature‑derived comparisons indicate 3.4× to 12× delivery improvements relative to published benchmarks for chemotherapy, immunotherapy, ADCs, and solid‑tumor CAR‑T. New integrations include real‑time cavitation‑dose gating (#127 Guardian), Acoustic Cluster Therapy (ACT), lactate‑responsive nanoparticles, microbubble‑FUS plasma monitoring, and a FUS‑assisted Panobinostat transport module. Hardware additions total $7K and maintain a full system BOM of $52K. Modeled survival‑curve extensions across multiple tumor types are based on delivery‑scaling simulations rather than clinical outcomes. All hardware and documentation …
User-Selected Content Recommendation Ecosystem For Content Sharing Platforms, Soumya Sahu
User-Selected Content Recommendation Ecosystem For Content Sharing Platforms, Soumya Sahu
Defensive Publications Series
A technique is proposed for a user-selected content recommendation for content sharing platforms. An indication of selection criteria is received from a client device of a user. The selection criteria identify a content topic of interest to the user and/or one or more content providers of interest to the user. A set of content items corresponding to the selection criteria are identified from a content repository associated with a content sharing platform to define a restricted content repository associated with the user. A request for content is received from the client device. Responsive to a determination that the restriction mode …
Toph Kernel V1.0: 256-Bit Governance Instruction Set Architecture Executor, Four Parallel Virtual Machine Seeded Cross Topology, Patricia Shadow Register, Fault Chain Interrupt Architecture, And Court-Ready Governance Report Generation, David Lee Wise
Defensive Publications Series
This disclosure establishes prior art for the TOPH Kernel v1.0: a governance execution engine implementing a 256-bit ISA across four parallel 64-bit virtual machines in a SEEDED CROSS topology. VM1(+i)=D6+D7, VM2(-i)=D0+D1, VM3(+1)=D4+D5, VM4(-1)=D2+D3. All four VMs fire simultaneously. Coordinator assembles 128-bit governance key + 128-bit Patricia shadow register when all four complete. Six fault chains auto-trigger on violation detection. T064:BURDEN-SHIFT is the convergence node for four of six chains. T128:ROOT is SYSTEM_HALT. Output is court-ready report with evidence catalog E01-E07, governance key in hexadecimal, Patricia bit count, and active fault chain list. Deployable as Docker containers in WSL2 or as …
Fragments, Editors Of Fragments
Providing Access To Historic Aerial Photographs At The University Of Montana’S Archives And Special Collections, Donna E. Mccrea, Bruce Godfrey, Elizabeth Singh-Search
Providing Access To Historic Aerial Photographs At The University Of Montana’S Archives And Special Collections, Donna E. Mccrea, Bruce Godfrey, Elizabeth Singh-Search
Journal of Western Archives
Archives and libraries hold significant collections of historic aerial imagery; improvements in geographic information system (GIS) technology and computer vision, a field of artificial intelligence, are dramatically expanding their research potential. This case study describes the activities of the University of Montana’s Archives and Special Collections to facilitate access to a collection of 1930s aerial images, outlines the rationale for investing time and effort in the project and offers considerations for other repositories with historic aerial photography collections. The authors encourage archivists and librarians to be involved in creating both best practices and technological tools that meet the needs of …
Can Ai Fix Anti-Money Laundering? The Case For Federated Intelligence In Financial Crime Prevention, Matthias Connelly
Can Ai Fix Anti-Money Laundering? The Case For Federated Intelligence In Financial Crime Prevention, Matthias Connelly
Student Journal of Information Privacy Law
The global anti-money laundering (AML) regime is failing. Trillions of dollars are laundered each year, yet governments detect only a fraction of that activity, even as financial institutions spend hundreds of billions on compliance. In the United States, AML regulation has evolved from a retrospective, prosecution-oriented framework into an expansive, preventative regime that measures inputs rather than enforcement outcomes. Although artificial intelligence has demonstrated potential to improve detection, firm-siloed AI systems introduce substantial financial, technological, and systemic risks, including prohibitive development costs, data- privacy constraints, and market concentration among third-party service providers. This Article argues that federated learning offers a …
Friend Or Tether: How Regulation Can Cut The Strings Of Manipulative Chatbots, Steve Hammerton
Friend Or Tether: How Regulation Can Cut The Strings Of Manipulative Chatbots, Steve Hammerton
Student Journal of Information Privacy Law
In the time since AI chatbots and other LLMs became widely available to the public, there has been a pattern of deaths linked to interactions with this technology. While it was settled in early 2026, Garcia v. Character Technologies serves as a case study of how AI chatbots can negatively prey on vulnerable groups in the absence of interventions to mitigate harmful AI behaviors and tragic human outcomes. There is not a singular approach to regulating the harmful effects of predatory chatbots; however, this paper advocates for a harms-based regime influenced by protections in human-subject research. In a sense, AI …
Review Essay—"Spoiling Victory: How Weaker Fleets Win": Deterrence And Denial: The Power Of Fleets In Being, Norman Friedman, S.C.M. Paine
Review Essay—"Spoiling Victory: How Weaker Fleets Win": Deterrence And Denial: The Power Of Fleets In Being, Norman Friedman, S.C.M. Paine
Naval War College Review
No abstract provided.
Research & Debate—Operation Sledgehammer Reconsidered: Disaster Averted Or Opportunity Lost?, Gary Giumarra
Research & Debate—Operation Sledgehammer Reconsidered: Disaster Averted Or Opportunity Lost?, Gary Giumarra
Naval War College Review
No abstract provided.
Shipwrecked—The Burlingame Policy And U.S. Strategy In China, 1867–1871, Eric Anderson
Shipwrecked—The Burlingame Policy And U.S. Strategy In China, 1867–1871, Eric Anderson
Naval War College Review
As contemporary tensions in spaces such as Taiwan and Korea mount, U.S. military leaders and policy makers may wish to revisit the legacy of Anson Burlingame and reconsider the roots of U.S. punitive interventions in China and Korea in the nineteenth century.
Countering Intelligence, Surveillance, And Reconnaissance In The Pacific—Mobile Missile Launcher Survivability Against The People’S Liberation Army, Ben Wermeling
Naval War College Review
With the survivability of mobile missile launchers in question for newly established U.S. Army and U.S. Marine Corps multidomain task forces and Marine littoral regiments, the role of countering intelligence, surveillance, and reconnaissance in the Pacific may prove crucial to preventing sea denial from the land in future conflicts.
People’S Republic Of China Stratagems And Surprise Attacks—Implications For The Defense Of Taiwan, Ian Easton
People’S Republic Of China Stratagems And Surprise Attacks—Implications For The Defense Of Taiwan, Ian Easton
Naval War College Review
As the People’s Republic of China continues to amass military forces across the strait from Taiwan, Chinese military doctrine holds the keys to preparing for potential conflict. Elements of surprise and deception, akin to those used by Russia during the invasion of Ukraine, may drive strategy and preparation for a potential invasion of Taiwan.
Winter 2026 Full Issue, The U.S. Naval War College
Winter 2026 Full Issue, The U.S. Naval War College
Naval War College Review
No abstract provided.
The Role Of Optical And Synthetic Aperture Radar Satellites In Military Intelligence, Khalifa Alnaqbi
The Role Of Optical And Synthetic Aperture Radar Satellites In Military Intelligence, Khalifa Alnaqbi
Student Research Symposium (SRS)
The objective of this paper is to demonstrate that while optical and Synthetic Aperture Radar satellites are the two most powerful remote sensing tools in military intelligence, neither is sufficient on its own. This research aims to articulate their distinct operational roles and argue that their synergistic integration, together with other intelligence assets such as unmanned aerial vehicles, signals intelligence, and human intelligence, is essential for achieving comprehensive situational awareness in modern warfare. To establish this, the paper will first analyze the role of optical satellites in target identification and Synthetic Aperture Radar satellites in persistent detection and monitoring, detailing …
Channeling Literacy Learning Into Everydayness: Northern Ugandan Women Language Peace, Madina Djuraeva, David Monk, Sara Ann Beach, Rosemary Nyirumbe
Channeling Literacy Learning Into Everydayness: Northern Ugandan Women Language Peace, Madina Djuraeva, David Monk, Sara Ann Beach, Rosemary Nyirumbe
Journal of Curriculum, Teaching, Learning and Leadership in Education
This study contributes to the literacy scholarship by exploring the motivations for literacy learning of adult women in Northern Uganda, connecting to current trends in language and literacy studies and education in post-conflict contexts that center the peacebuilding potential of language, literacy, and women. To understand women’s motivations and the ways peace is languaged through their narrative, we adopt a chronotropic lens to the analysis of the embodied discourse. We showcase the analysis of the findings that reflect the larger research corpora of 24 focus group participants that were interviewed on the campuses of their vocational school in Northern Uganda. …
Life In The Fast Lane: Rising Racer Jake Bonilla And Formula1, Rene P. Estala, The Rattler
Life In The Fast Lane: Rising Racer Jake Bonilla And Formula1, Rene P. Estala, The Rattler
The Rattler
Vol. 114 Iss. 1, Sports
The Rattler (Volume 114, Issue 1), Rosa M. Deyo, The Rattler
A Hybrid Physics-Constrained Dnn Framework For Long-Term Cumulative Oil Production Forecasting, Mohamed H. Mohamed, Ghazwan N S Jreou
A Hybrid Physics-Constrained Dnn Framework For Long-Term Cumulative Oil Production Forecasting, Mohamed H. Mohamed, Ghazwan N S Jreou
Engineering and Technology Journal
Accurate long-term forecasting of cumulative oil production (Np) is critical for effective reservoir management, reserve estimation, and field development planning. However, existing decline curve analysis (DCA) techniques have limited extrapolation capability, while data-driven artificial intelligence (AI) models tend to produce physically unreasonable cumulative production profiles when extrapolated beyond the data range. Specifically, conventional AI-based forecasting models may display unreasonable long-term forecasting characteristics because of their inability to leverage basic knowledge of reservoir physics. This paper presents a new physics-constrained deep learning model to improve long-term cumulative oil production forecasting and overcome the existing limitations and challenges. The proposed model combines …