Digital Commons Network^™

Generative Artificial Intelligence Consensus In A Trustless Network, Edward Kim, Samu Isozaki, Naomi Sirkin, Michael Robson

Computer Science: Faculty Publications

We performed a billion locality sensitive hash comparisons between artificially generated data samples to answer the critical question - can we reproduce the results of generative AI models? Reproducibility is one of the pillars of scientific research for verifiability, bench- marking, trust, and transparency. Futhermore, we take this research to the next level by verifying the “correctness” of generative AI output in a non-deterministic, trustless, decentralized network. We generate millions of data samples from a variety of open source diffusion and large language models and describe the procedures and trade-offs between generating more verses less deterministic output. Additionally, we analyze …

Salmonella In The Environment: A Review On Ecology, Antimicrobial Resistance, Seafood Contaminations, And Human Health Implications, Mohammad Maruf Billah, Md Saydur Rahman

School of Earth, Environmental, & Marine Sciences Faculty Publications

Salmonella is a genus of Gram-negative bacteria that is responsible for numerous food poisoning outbreaks worldwide. With 93.8 million food-borne illnesses and 155,000 fatalities annually, it has emerged as a significant global public health issue. There are currently more than 2,500 distinct Salmonella serotypes, and more than half of them are associated with Salmonella enterica. An increasing global public health concern for humans and animals is antimicrobial resistance by Salmonella species worldwide. Salmonella infections can be lethal; conditioned with an increased prevalence of multi-drug resistant (MDR) strains in the future. The emergence of MDR Salmonella serotypes is considerably …

Improved Subseasonal Prediction Of South Asian Monsoon Rainfall Using Data-Driven Forecasts Of Oscillatory Modes, Eviatar Bach, Venkat Krishnamurthy, Safa Mote, Jagadish Shukla, A. Surjalal Sharma, Eugenia Kalnay, Michael Ghil

Mathematics and Statistics Faculty Publications and Presentations

Predicting the temporal and spatial patterns of South Asian monsoon rainfall within a season is of critical importance due to its impact on agriculture, water availability, and flooding. The monsoon intraseasonal oscillation (MISO) is a robust northwardpropagating mode that determines the active and break phases of the monsoon and much of the regional distribution of rainfall. However, dynamical atmospheric forecast models predict this mode poorly. Data-driven methods for MISO prediction have shown more skill, but only predict the portion of the rainfall corresponding to MISO rather than the full rainfall signal. Here, we combine state-of-the-art ensemble precipitation forecasts from a …

Trends In Catch Rates Of Sawfish On The Australian North West Shelf, C. Wakefield, S. J. Newman, M. Braccini, A. Harry

Fisheries Research Articles

Northwestern Australia is thought to have some of the world’s last remaining viable sawfish populations, although little quantitative data exists on their status or trends. This study examined 17 years of logbook bycatch records (n = 815) for green sawfish Pristis zijsron and narrow sawfish Anoxypristis cuspidata from a trawl fishery operating on the Australian North West Shelf. Incidental sawfish captures by the fishery are rare, occurring approximately once every 75 trawls (~199 trawl hours). To standardize catch rates and account for excess zeros in the data, we employed generalized additive models for location, scale, and shape (GAMLSSs) using a …

Cognitive Load Scale In Learning Formal Definition Of Limit: A Rasch Model Approach, Rina Oktaviyanthi, Ria Noviana Agus, Mark Lester B. Garcia, Kornkanok Lertdechapat

Mathematics Faculty Publications

Constructing proofs for the limit using the formal definition induces a high cognitive load. Common assessment tools, like cognitive load scales, lack specificity for the concept of limits. This research aims to validate an instrument tailored to assess cognitive load in students focused on the formal definition of limits, addressing the need for diverse strategies in education. The research employs a quantitative survey design with a Rasch model approach, utilizing a data collection instrument in the form of a questionnaire. Subsequently, the data are analyzed by focusing on three aspects: (1) item fit to the Rasch model, (2) unidimensionality, and …

Tight Bounds For The N2-Chromatic Number Of Graphs, Arnold Eniego, Ian June L. Garces, Jose Rosario

Mathematics Faculty Publications

Let G be a connected graph. A vertex coloring of G is an N₂-vertex coloring if, for every vertex v, the number of different colors assigned to the vertices adjacent to v is at most two. The N₂-chromatic number of G is the maximum number of colors that can be used in an N₂vertex coloring of G. In this paper, we establish tight bounds for the N₂-chromatic number of a graph in terms of its maximum degree and its diameter, and characterize those graphs that attain these bounds.

Parameterized Algorithm For The Poset Cover Problem, Ivy D. Ordanel, Proceso L. Fernandez, Richelle Ann B. Juayong, Jhoirene B. Clemente, Henry N. Adorna

Department of Information Systems & Computer Science Faculty Publications

It is already known that the 1-Poset and 2-Poset Cover Problems are in P. In this paper, we extended the previous results and devised an algorithm for the k-Poset Cover Problem, for any k number of posets that cover the input. The algorithm runs in O(m2k n2), where m and n are the input size. With this running time, we can say that the problem belongs to XP (slicewise polynomial). The algorithm runs efficiently for small fixed k but runs exponentially for large k. While the algorithm running time has yet not to be efficient for large k, we have …

A37: An Experimental Study On The Effect Of Traditional Old Games On Fundamental Motor Skills Of Children Aged 7-8, Qian Mao, Xiaozan Wang, Qinping Xu

International Journal of Physical Activity and Health

Purpose: Fundamental Motor Skills as the "cornerstone" of children's healthy growth, its firmness determines children's future development. However, with the progress of science and technology and the convenience of modern life, the physical activity level of children has decreased significantly, and the development of basic motor skills has increased rapidly. Therefore, in October 2020, it was clearly proposed to gradually improve the school physical education teaching model of "health knowledge + basic sports skills + special sports skills". At the same time, as the wisdom crystallization of human development, traditional old games are increasingly replaced by the ever-changing electronic games …

A40: An Experimental Study On The Effect Of Intelligent Motor Intervention On Motor Ability Of Infants With Motor Retardation, Jiayu Zhou, Qinping Xu, Xiaozan Wang

International Journal of Physical Activity and Health

Purpose: Early exercise intervention is particularly important for the improvement of motor ability in young children with delayed motor development. In this study, the effect of intelligent exercise online intervention on the motor ability of slow motor development in children aged 3 to 6 years was verified by arranging interesting sports games in the sports APP. Methods: Using the experimental method, interview method and mathematical statistics method, 37 children aged 3-6 years were selected through the motor development questionnaire, and online exercise intervention was carried out around the six themes of balance, coordination, sensitivity, flexibility, jumping and strength. There is …

A51: A Study On Improvement Of Sensory Integration Disorder In Children Aged 6-7 Years With Fancy Skipping Rope, Xunzhi Lai, Ziying Zeng

International Journal of Physical Activity and Health

Purpose: At present, the number of children with sensory unison disorder continues to rise in our country, which is a kind of disease that mainly happens in the children of the nervous system, so that the young children's physical quality drops, the uncoordinated movement, attention, and poor performance, affecting the normal healthy development. In the face of the disorder, the intervention can be improved by games in PE class and sensory integration training. Methods: In this paper, literature, mathematical statistics, questionnaire, and other research methods were used to test and study the vestibular function, proprioception, tactile defense and learning ability …

A85: A Study On The Influence Of Different Media Choices On People's Exercise Behavior Post Covid-19, Guo Rong, Tang Ye

International Journal of Physical Activity and Health

Purpose: As modern technology advances swiftly, the significance of mobile media in people's lives is increasingly pronounced. Fitness software, rooted in mobile media, has permeated every facet of daily life, reshaping not only the traditional modes of exercise but also giving rise to a distinctive exercise culture. In the context of epidemic prevention and control, this study examined the impact of various media on individuals' exercise behavior, exploring how people's choice of media influences their post-epidemic exercise possibilities and self-efficacy. Methods: This study extensively reviewed literature to identify the questionnaire's origin and employs exercise behavior theories to construct a conceptual …

A79: Epidemiology Of Athletic Injuries In China College Rock Climbing Athlete, Bingbing Tian, Dehong Gu

International Journal of Physical Activity and Health

Purpose: Originating from mountaineering, rock climbing has encountered fresh opportunities for growth since its inclusion in the Olympics, and there is a growing awareness of the associated injury risks. Methods: Using questionnaire survey and mathematical statistics methods, this paper studied the epidemiological characteristics of sports injuries among Chinese college rock-climbing athletes by 6 Chinese university rock-climbing teams. Results: The incidence of sports injury was as high as 87.10%, and the annual incidence of injury was 3.39 times/year. The number of injuries was mainly 1 time (43.55%), and the number of injuries was less in 4 (8.06%;) or 5 times (1.61%). …

M 562.01: Advanced Theoretical Data Analytics, John Bardsley

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Predictive Algorithm For Surgery Recommendation In Thoracolumbar Burst Fractures Without Neurological Deficits, Charlotte Dandurand, Nader Fallah, Cumhur F. Öner, Richard J. Bransford, Klaus Schnake, Alex R. Vaccaro, Lorin M. Benneker, Emiliano Vialle, Gregory D. Schroeder, Shanmuganathan Rajasekaran, Mohammad El-Skarkawi, Rishi M. Kanna, Mohamed Aly, Martin Holas, Jose A. Canseco, Sander Muijs, Eugen Cezar Popescu, Jin Wee Tee, Gaston Camino-Willhuber, Andrei Fernandes Joaquim, Ory Keynan, Harvinder Singh Chhabra, Sebastian Bigdon, Ulrich Spiegel, Marcel F. Dvorak

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN: Predictive algorithm via decision tree.

OBJECTIVES: Artificial intelligence (AI) remain an emerging field and have not previously been used to guide therapeutic decision making in thoracolumbar burst fractures. Building such models may reduce the variability in treatment recommendations. The goal of this study was to build a mathematical prediction rule based upon radiographic variables to guide treatment decisions.

METHODS: Twenty-two surgeons from the AO Knowledge Forum Trauma reviewed 183 cases from the Spine TL A3/A4 prospective study (classification, degree of certainty of posterior ligamentous complex (PLC) injury, use of M1 modifier, degree of comminution, treatment recommendation). Reviewers' regions …

Analysis Of Wind Turbine Wake Dynamics By A Gaussian-Core Vortex Lattice Technique, Apurva Baruah, Fernando L. Ponta

Michigan Tech Publications

The development and deployment of the next generation of wind energy systems calls for simulation tools that model the entire wind farm while balancing accuracy and computational cost. A full-system wind farm simulation must consider the atmospheric inflow, the wakes and consequent response of the multiple turbines, and the implementation of the appropriate farm-collective control strategies that optimize the entire wind farm’s output. In this article, we present a novel vortex lattice model that enables the effective representation of the complex vortex wake dynamics of the turbines in a farm subject to transient inflow conditions. This work extends the capabilities …

Educational Policies Committee Agenda February 1, 2024, Utah State University

Educational Policies Committee

• Subcommittee Reports
• Curriculum Subcommittee (Chad Simon)
• Academic Standards Subcommittee Report (Renee Galliher)
• General Education Subcommittee Report (Matt Sanders)

Curriculum Subcommittee Minutes February 1, 2024, Utah State University

Educational Policies Committee

• Program Proposals
• Semester Course Approval Reviews

• College of Agriculture and Applied Sciences
• Caine College of the Arts
• Jon M. Huntsman School of Business
• Emma Eccles Jones College of Education and Human Services
• College of Engineering
• College of Humanities and Social Sciences
• S.J. & Jessie E. Quinney College of Natural Resources
• College of Science
• College of Veterinary Medicine
• Other
• Other Business

Educational Policies Committee Minutes February 1, 2024, Utah State University

Educational Policies Committee

• Subcommittee Reports
• Curriculum Subcommittee (Mateja Savoie-Roskos)
• Academic Standards Subcommittee Report (Renee Galliher)
• General Education Subcommittee Report (Matt Sanders)
• Other Business

Biob 272.00: Genetics And Evolution, Douglas J. Emlen

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 105.50: Contemporary Mathematics, Dakota C. Gray

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 132.02: Numbers And Operations For Elementary School Teachers, Shurong Li

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 133.01: Geometry And Measurement For K-8 School Teachers, Bharath Sriraman

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 171.02: Calculus I, Joshua D. Johnson

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 172.01: Calculus Ii, Kyle Nemeth

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 172.02: Calculus Ii, Jose E. Martinez

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 361.01: Discrete Optimization, Mark Kayll

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 472.01: Introduction To Complex Analysis, Karel Stroethoff

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 522.01: Advanced Algebra Ii, Nikolaus Vonessen

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Thtr 255.01: Drafting For Theatre, Michael T. Monsos

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Thtr 591.01: Drafting For Theatre - Graduate, Michael T. Monsos

University of Montana Course Syllabi, 2021-2025

No abstract provided.