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Solving the Satellite Orienteering Problem Via Hybrid Metaheuristic Intensification and Improved Target Scheduling Techniques
No full textSatellite constellations, groups of satellites working together, are increasingly used for applications such as global internet coverage, weather and climate monitoring, and disaster response. As these constellations grow larger and more capable, deciding which satellites should observe which locations and when becomes a complex task that can no longer be done by hand. This problem, known as the Satellite Orienteering Problem, involves finding the best possible schedule for all satellites so that they accomplish the most valuable work within limited time and resource constraints.
This research develops a new computer-based planning system that improves how satellites are scheduled. The system combines several optimization techniques into an Integrated Planning Framework that makes the scheduling process faster and more effective. It introduces four main innovations: a scoring method that gives preference to high-priority and time-sensitive tasks, an improved search method that balances exploration and refinement, a way to ensure that hard-to-reach targets are not missed, and a method to fairly distribute work among satellites.
Together, these innovations allow the planner to create more efficient and reliable schedules compared to traditional approaches. The results show significant improvements in overall mission performance and a stronger ability to adapt to real-world operational demands
R Software Tutorials for Introductory Statistics Courses
No full textThis project focused on creating online resources for using the statistical software package R in an introductory statistics course at Utah State University. The goal was to make R more accessible, user-friendly, and engaging for learners. To do this, existing written materials were moved to a new section of an online website called Stats Stuff. Then interactive features were added such as step-by-step video tutorials, real datasets, and an embedded coding tool. These resources have been in use for the past four years and have helped students build confidence and enhance their statistical learning experience
What Goals? Which Point? Whose Purpose? A Critical Engagement With Sport Internalism
No full textIn this article, I critique the dominance of internalism in sport philosophy and outline an alternative theoretical framework that integrates internal and external elements while striving to transcend the dichotomous language used to conceptualize sport. The analysis begins by claiming that internalism conflates three fundamental teleological aspects of sport: goals, point, and purposes. I argue that this conflation limits internalism’s ability to explain the complexity of sporting practices. By carefully distinguishing these elements, I illustrate their distinct roles in shaping sport and explore how they interact. I conclude by proposing that the alternative pluralist framework briefly sketched here enables a more comprehensive understanding of sport
Effect of the AHR Inhibitor CH223191 as an Adjunct Treatment for Mammarenavirus Infections
No full textThe family Arenaviridae encompasses zoonotic, rodent-borne pathogens (e.g., Lassa, Machupo, and Junín viruses) that cause severe viral hemorrhagic fevers with high case fatality rates. The current therapeutic landscape is severely limited, underscoring the urgent need for novel antiviral strategies. A promising approach involves combining directly acting antivirals with host-targeted antivirals. A compelling host-targeted antiviral target is the aryl hydrocarbon receptor (AHR). This ubiquitous ligand-activated transcription factor is a recognized pro-viral host factor across multiple viral families. Building on prior work with Junín and Tacaribe viruses, we investigated whether the AHR inhibitor CH223191 could enhance the virus-directed antiviral activity of favipiravir against these viruses. First, we evaluated the toxicity and antiviral potential of CH223191 against a lethal Junín virus infection in male and female hTfR1 mice. After demonstrating substantial protection, we conducted preliminary assays to study the antiviral effects of combining CH223191 and favipiravir on Tacaribe virus (TCRV) infections in the Vero cell culture model. We observed synergistic interaction with all four models (ZIP, Loewe, Bliss, and HSA). We next determined the sub-optimal dose of favipiravir and conducted an antiviral combination study in the male and female AG129 mouse model infected with TCRV. The combination effectively protected mice from a lethal TCRV infection and showed cooperative effects, reducing weight loss and viral loads. Overall, these results show that the AHR is a promising pharmacological target for the development of novel antivirals. Furthermore, we discovered a cooperative interaction between the activities of favipiravir and CH223191
The Indispensable Role of the Sister Disability Agencies: Safeguarding Progress and Enhancing Outcomes through Collaboration
No full textThis manuscript emphasizes the critical importance of having a Disability Network of services—including University Centers for Excellence in Developmental Disabilities (UCEDDs), State Councils on Developmental Disabilities, and Protection & Advocacy organizations - in promoting systemic innovation and improved outcomes for individuals with developmental disabilities. Highlighting a case study from West Virginia, where collaboration between West Virginia University’s Center for Excellence in Disabilities, Disability Rights of West Virginia, and the West Virginia Developmental Disabilities Council has resulted in cost-effective, sustainable improvements, this paper underscores the urgent need to protect and expand these programs amidst current policy threats. The evidence underscores that investment in the DD Network yields significant societal and economic benefits, and strategic partnerships exemplify its transformative potential
A Pre-Service Māori Educator\u27s Perspective on Māori Influence on Education in New Zealand
No full textMāori students have historically performed below mainstream students in New Zealand (PISA 2018, 2019). This narrative inquiry spotlights Tahi, whose lived experiences reverberate issues facing the Māori curriculum – Te reo Māori – in New Zealand (Barr & Seals; 2018; Macfarlane, 2015; Manning; 2018; Ritchie, 2012 Stewart, 2016; Torepe et al., 2018). Additionally, Tahi\u27s narrative underscores social and democratic issues of systemic injustice and white privilege, including the influence of both on education in New Zealand
Curriculum Subcommittee Minutes, March 5, 2026
No full textApproval of Minutes - February 5, 2026 Program Proposals Semester Course Approval Reviews Other Business 2025-2026 Curriculum Totals Draft Graduate Certificate Policy Adjourn: 3:01 p
General Education Subcommittee Agenda February 5, 2026
No full textCall to Order Approval of Minutes - January 8, 2026 Course Approvals/Removals/Syllabi Approvals New Business Additional Items Adjourn: 9:30 a
When the Student Surpasses the Teacher: Better Generalization in AI-Based Seismic Waveform Quality Assessment Using Knowledge Distillation
No full textThis paper presents a knowledge distillation (KD)-based approach to reduce computational expenses and improve the generalizability of deep learning-based models for quality assessment of seismic waveforms. Using two different waveform datasets, teacher models are distilled into lightweight student models from two families of time-series-based and image-based models. Models from both student families are trained on a development dataset and evaluated on the testing portion of the development dataset, as well as on an entirely different external testing dataset. Results indicate that KD can provide student models with substantially reduced size (5%-10% of the teacher model\u27s size) and latency while preserving, and in some cases improving upon, the predictive performance of teacher models, particularly for unseen data in the external testing set