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Articles 13111 - 13140 of 713656
Full-Text Articles in Entire DC Network
M 121.01: College Algebra, Apala Mandal
M 121.01: College Algebra, Apala Mandal
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 567.01: Advanced Big Data Analytics Projects, Javier Perez-Alvaro
M 567.01: Advanced Big Data Analytics Projects, Javier Perez-Alvaro
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 118.01: Mathematics For Music Enthusiasts, Mark Kayll
M 118.01: Mathematics For Music Enthusiasts, Mark Kayll
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 307.01: Introduction To Abstract Mathematics, Elizabeth A. Gillaspy
M 307.01: Introduction To Abstract Mathematics, Elizabeth A. Gillaspy
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 591.01: The Geometry Of Surfaces, Eric B. Chesboro
M 591.01: The Geometry Of Surfaces, Eric B. Chesboro
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 522.01: Advanced Algebra Ii, Nikolaus Vonessen
M 522.01: Advanced Algebra Ii, Nikolaus Vonessen
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 133.01: Geometry And Measurement For Elementary School Teachers, Frederick Peck
M 133.01: Geometry And Measurement For Elementary School Teachers, Frederick Peck
University of Montana Course Syllabi, 2026-2030
No abstract provided.
Hybrid Server–Ai Architecture For Persistent Generative Game Worlds: Achieving Scalable, Consistent, And Low-Latency Interactive Environments, Jay Ratican, James Hutson
Hybrid Server–Ai Architecture For Persistent Generative Game Worlds: Achieving Scalable, Consistent, And Low-Latency Interactive Environments, Jay Ratican, James Hutson
Faculty Scholarship
Generative artificial intelligence has demonstrated remarkable capabilities in real-time content creation for interactive entertainment, yet current implementations struggle with the persistence, consistency, and scalability demanded by modern multiplayer and long-form gaming environments. This paper presents a hybrid server–AI architecture that fuses the deterministic reliability of authoritative multiplayer server frameworks with the creative flexibility of state-aware generative systems. The proposed three-tier design consists of (1) a deterministic server backend leveraging technologies such as Unity Netcode for GameObjects, Unreal Engine 5’s dedicated servers, and Amazon GameLift to maintain authoritative and persistent world state; (2) a state-aware generative layer responsible for producing real-time …
Status Of The Western Australian Pastoral Rangelands 2025 - Total Vegetative Cover And Cover Risk, Department Of Primary Industries And Regional Development, Western Australia
Status Of The Western Australian Pastoral Rangelands 2025 - Total Vegetative Cover And Cover Risk, Department Of Primary Industries And Regional Development, Western Australia
Natural resources published reports
DPIRD monitors and reports on the vegetation condition of pastoral rangelands in Western Australia. Two levels of reporting are provided: every 5 years a full report details the state, trend and risk of decrease of vegetation condition in the pastoral rangelands using information derived from remotely sensed and on-ground data; in the intervening years, short reports are provided based on remotely sensed data (this report).
This report is based on remotely sensed vegetation cover data, rainfall data, livestock data and station-level rangeland condition assessment (RCA) data available in November 2025. Data is presented for 23 land conservation districts (LCDs) across …
Design Of Lithium-Based Battery Electrolyte Compositions For Extreme Operating Conditions Using Alternative Solvents, Co-Solvents And Additives, Michael J. Keating
Design Of Lithium-Based Battery Electrolyte Compositions For Extreme Operating Conditions Using Alternative Solvents, Co-Solvents And Additives, Michael J. Keating
Dissertations, Theses, and Capstone Projects
Lithium-ion battery utilization is widespread due to relatively high capacity and long cycle life. Advanced technologies have specific demands of their energy storage devices that traditional Li-ion batteries are unable to meet. Lithium-ion batteries utilize a graphite anode which has a limited theoretical capacity. Traditional lithium-ion batteries also utilize flammable solvents in their electrolyte mixtures. Due to the flammable electrolyte, lithium-ion batteries are not considered practical for large scale applications. Additionally, the lithium-ion battery has a narrow optimal operating temperature window. The temperature limitation of lithium-ion batteries leads to issues for many applications such as operating in extreme temperature environments, …
Monosaccharide Binding To Synthetic Carbohydrate Receptor Microarrays, Milan A. Shlain
Monosaccharide Binding To Synthetic Carbohydrate Receptor Microarrays, Milan A. Shlain
Dissertations, Theses, and Capstone Projects
Chapter 1: A glycan detection platform comprised of synthetic carbohydrate receptors (SCRs) immobilized onto polymer brushes was prepared. SCR043, an alkene-containing SCR, was incorporated into grafted-from polymer brushes using hypersurface photolithography, resulting in microarrays of SCR043-functionalized polymer brushes, where brush height (h) and SCR grafting density (Γ) is controlled precisely at each feature in the array. The influence of h and Γ on the binding to five fluorescently labelled monosaccharides – α-glucose (α-Gluc-FL), α-galactose (α-Gal-FL), α-mannose (α-Man-FL), β-glucose (β-Gluc-FL), and β-galactose (β-Gal-FL) – in aqueous buffer …
6d Rigid Object Pose Estimation Using Deep Learning, Zhujun Li
6d Rigid Object Pose Estimation Using Deep Learning, Zhujun Li
Dissertations, Theses, and Capstone Projects
6D object pose estimation is the task of determining an object’s 3D rotation and translation with respect to a camera, and plays a critical role in applications such as robotic manipulation, autonomous navigation, and augmented reality. While recent advances in deep learning have substantially improved performance, many existing methods still face limitations in learning robust and generalizable representations. Factors such as variations in object appearance, occlusion, sensor noise, and domain shifts can degrade model accuracy, highlighting the need for more effective representation learning strategies that capture rich geometric and semantic cues for reliable pose estimation across diverse conditions.
This dissertation …
Chamber Music For Strings In Rational Intonation: Performance Practice And Analysis, Marina Kifferstein
Chamber Music For Strings In Rational Intonation: Performance Practice And Analysis, Marina Kifferstein
Dissertations, Theses, and Capstone Projects
In the early 21st century, the field of contemporary music has experienced an explosion of interest in rational intonation. This ratio-derived tuning system, often referred to as “just intonation,” has become established as a widespread movement that is still on the rise. It is of increasing importance for composers, performers, historians, and theorists who specialize in contemporary music to be knowledgeable about the growing body of repertoire in this area and its performance practice.
This dissertation examines current and recent trends in rational intonation through the lens of chamber music for strings. It includes perspectives on performance practice gleaned …
New Fast Polynomial Root-Finders, Soo Go
New Fast Polynomial Root-Finders, Soo Go
Dissertations, Theses, and Capstone Projects
Univariate polynomial root-finding has been studied for four millennia and very intensively in the last decades. Our {\em black box root-finder} involves no coefficients and works for a black box polynomial, defined by an oracle (that is, black box subroutine) for its evaluation. Such root-finders have various benefits, e.g., are particularly efficient where a polynomial can be evaluated fast, say, is a sum of a small number of shifted monomials (x-c)^a.
Our root-finder approximates all d complex zeros of a dth degree polynomial p(x) (aka roots of equation p(x)=0) by using Las Vegas expected number of bit-operations within a factor …
Typeface: Machine-Viewing Gentrification On Storefront Imagery In Bedford-Stuyvesant, Brooklyn, Alexander Mcquilkin
Typeface: Machine-Viewing Gentrification On Storefront Imagery In Bedford-Stuyvesant, Brooklyn, Alexander Mcquilkin
Dissertations, Theses, and Capstone Projects
Gentrification—broadly, the replacement of a less powerful group by a more powerful one in an urban context—is oft-discussed in the popular press, but its definition is much-debated in the urban planning literature. Furthermore, academic treatments of displacement understandably focus on measurable yet fairly abstract indicators like changes in rent or income, whereas neighborhood change is often registered by residents on the ground using visual, but difficult-to-quantify markers like retail turnover. This project uses image recognition technology on a set of storefront photos to index the visual streetscape of a neighborhood, as well as to track changes to that portrait over …
Soci 101s.50: Introduction To Sociology, Jacobs W. Hammond
Soci 101s.50: Introduction To Sociology, Jacobs W. Hammond
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 115.00: Probability And Linear Mathematics, Richard A. Darnell
M 115.00: Probability And Linear Mathematics, Richard A. Darnell
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 122.02: College Trigonometry, J. Michael Sulock
M 122.02: College Trigonometry, J. Michael Sulock
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 121.02: College Algebra, Tadeusz Wojcik
M 121.02: College Algebra, Tadeusz Wojcik
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 171.01: Calculus I, Kyle Nemeth
M 171.01: Calculus I, Kyle Nemeth
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 133.02: Geometry And Measurement For Elementary School Teachers, Richard A. Darnell
M 133.02: Geometry And Measurement For Elementary School Teachers, Richard A. Darnell
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 210.01: Introduction To Mathematical Software, Leonid Kalachev
M 210.01: Introduction To Mathematical Software, Leonid Kalachev
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 172.01: Calculus Ii, Esmaeil Parsa
M 172.01: Calculus Ii, Esmaeil Parsa
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 326.01: Number Theory, Kelly L. Mckinnie
M 326.01: Number Theory, Kelly L. Mckinnie
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 429.01: History Of Mathematics, Bharath Sriraman
M 429.01: History Of Mathematics, Bharath Sriraman
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 273.01: Multivariable Calculus, Eric B. Chesboro
M 273.01: Multivariable Calculus, Eric B. Chesboro
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 562.01: Advanced Theoretical Big Data Analytics, Javier Perez-Alvaro
M 562.01: Advanced Theoretical Big Data Analytics, Javier Perez-Alvaro
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 162.50: Applied Calculus, Richard A. Darnell
M 162.50: Applied Calculus, Richard A. Darnell
University of Montana Course Syllabi, 2026-2030
No abstract provided.
M 473.01: Introduction To Real Analysis, Elizabeth A. Gillaspy
M 473.01: Introduction To Real Analysis, Elizabeth A. Gillaspy
University of Montana Course Syllabi, 2026-2030
No abstract provided.
Stat 452.01: Statistical Methods Ii, Jonathan M. Graham
Stat 452.01: Statistical Methods Ii, Jonathan M. Graham
University of Montana Course Syllabi, 2026-2030
No abstract provided.