Utah State University Eastern

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    Advancements in Near Real-Time Bolide Detection: Continuum Calibration, Altitude Estimation, and Velocity Approximation Using NOAA GOES GLM Data

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    Bolides, also known as fireballs, are a class of meteoroids that explosively break up and release large amounts of energy as they enter the Earth’s atmosphere While inherently of scientific value, bolides that occur over populous areas can result in alarm and, on rare occasions, terrestrial damage Thus, rapid bolide detection and characterization systems are advantageous for the scientific community, public interest, and political de-escalation efforts Jenniskens et al. (2018) and Rumpf et al. (2019) showed that the Geostationary Lightning Mapper (GLM) sensor onboard the NOAA Geostationary Operational Environmental Satellite (GOES) satellites can detect bolide signatures This presentation complements a previous presentation (McKinney et al. 2024) involving a machine-learning component called the ROCKET filter (Dempster et al. 2020, 2021 and Tan et al. 2022

    Ecological Acclimation: A Framework to Integrate Fast and Slow Responses to Climate Change

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    1. Ecological responses to climate change occur across vastly different time-scales, from minutes for physiological plasticity to decades or centuries for community turnover and evolutionary adaptation. Accurately predicting the range of ecosystem trajectories will require models that incorporate both fast processes that may keep pace with climate change and slower ones likely to lag behind and generate disequilibrium dynamics. However, the knowledge necessary for this integration is currently fragmented across disciplines. 2. We develop ‘ecological acclimation’ as a unifying framework to emphasize the similarity of dynamics driven by processes operating on dramatically different time-scales and levels of biological organization. The framework focuses on ecoclimate sensitivities, measured as the change in an ecological response variable per unit of climate change. Acclimation processes acting at different time-scales cause these sensitivities to shift in magnitude and even direction over time. 3. We highlight shifting ecoclimate sensitivities in case studies from diverse ecosystems, including terrestrial plant communities, coral reefs and soil microbiomes. 4. Models predicting future ecosystem states inevitably make assumptions about acclimation processes; these assumptions must be explicit for users to evaluate whether a model is appropriate for a given forecast horizon. Similarly, decision frameworks that clearly account for multiple acclimation processes and their distinct time-scales will help natural resource managers plan for ecological impacts of climate change from years to many decades into the future

    Redefining the Limits of Functional Continuity in the Early Evolution of P-Loop NTPases

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    At the heart of many nucleoside triphosphatases is a conserved phosphate-binding sequence motif. A current model of early enzyme evolution proposes that this six to eight residue motif could have sparked the emergence of the very first nucleoside triphosphatases—a striking example of evolutionary continuity from simple beginnings, if true. To test this provocative model, seven disembodied Walker A-derived peptides were extensively computationally characterized. Although dynamic flickers of nest-like conformations were observed, significant structural similarity between the situated peptide and its disembodied counterpart was not detected. Simulations suggest that phosphate binding is nonspecific, with a preference for GTP over orthophosphate. Control peptides with the same amino acid composition but different sequences and situated conformations behaved similarly to the Walker A peptides, revealing no indication that the Walker A sequence is privileged as a disembodied peptide. We conclude that the evolutionary history of the P-loop NTPase family is unlikely to have started with a disembodied Walker A peptide in an aqueous environment. The limits of evolutionary continuity for this protein family must be reconsidered. Finally, we argue that motifs such as the Walker A motif may represent incomplete or fragmentary molecular fossils—the true nature of which has been eroded by time

    AtSubP-2.0: An Integrated Web Server for the Annotation of Arabidopsis Proteome Subcellular Localization Using Deep Learning

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    The organization of subcellular components in a cell is critical for its function and studying cellular processes, protein–protein interactions, identifying potential drug targets, network analysis, and other systems biology mechanisms. Determining protein localization experimentally is time-consuming and expensive. Due to the need for meticulous experimentation, validation, and data analysis, computational methods provide a quick and accurate alternative. Arabidopsis thaliana, a beneficial model organism in plant biology, facilitates experimentation and applies to other plants. Predicting its proteins\u27 subcellular localization can improve our understanding of cellular processes and have applications in crop improvement and biotechnology. We propose AtSubP-2.0, an extension of our previously developed and widely used AtSubP v1.0 tool for annotating the Arabidopsis proteome. For precise protein subcellular localization prediction, AtSubP-2.0 employs a four-phase strategy. The first phase differentiates between single and dual localization with accuracy (97.66% in fivefold training/testing, 98.10% on independent data) and high Matthews correlation coefficient (0.88 training, 0.90 independent). Single localized proteins are classified into 12 locations at the second phase, with accuracy (98.37% in fivefold training/testing, 97.43% on independent data) and Matthews correlation coefficient (0.94 training, 0.91 independent). The third phase categorizes dual location proteins into nine classes with accuracy (99.65% in fivefold training/testing, 98.16% on independent data) and Matthews correlation coefficient (0.92 training, 0.87 independent). We also employed a fourth phase that classifies the membrane type proteins predicted in phase I into single-pass and multi-pass membrane with accuracy (98% in fivefold training/testing, 98.55% on independent data) and a high Matthews correlation coefficient (0.95 training, 0.97 independent). A web-based prediction server has been implemented for community use and is freely available at https://kaabil.net/AtSubP2/, including a standalone version. AtSubP2 will help researchers to better understand organelle-specific functions, cellular processes, and regulatory mechanisms important for plant growth, development, and response to environmental stimuli

    Building Relationships for Meaningful Co-Created Indigenous Climate Education

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    This project involved a multicultural team collaboratively co-creating a climate change module by and for Indigenous people. Embracing the framework of cultural humility, we recognized the bidirectional learning inherent in the project and its role in mitigating power dynamics within the team. This endeavor underscored the significance of transparency, effective communication, respect, reciprocity, trust building, and sensitivity to cultural contexts. Our findings emphasized the need for locally grounded programs that echo local traditional wisdom. We discovered that fostering an environment conducive to active listening and patience is pivotal in establishing a secure space. Our research affirms the equal validity and importance of both Western and Traditional knowledge (TK) systems. Our findings revealed that using a premade university-designed climate change curriculum wasn\u27t effective for Indigenous participants in this study. Instead, we co-created a bottom-up menu-style approach that could be tailored to the instructor\u27s preference and program capabilities

    Selectivity of Invasive Species Suppression Efforts Influences Control Efficacy

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    Highly fecund invaders and size-selective suppression efforts often limit the effectiveness of invasive species control programs, as compensatory processes can allow suppressed populations to recover. While population models have long explored how demographic characteristics impact management feasibility, there is a growing need to evaluate how the selectivity of suppression efforts might impact the long-term feasibility of control. We use a simulation framework that integrates age-based selectivity to evaluate the effect of increasing the range of ages selected for during harvest-based invasive species control. We applied this approach to common carp in Utah Lake, the location of one of the world\u27s largest freshwater vertebrate species control programs, to assess how selectivity impacts the level of control effort necessary to achieve management targets. Model simulations suggest that increasing the range of ages effectively targeted by removal gears has the potential to significantly reduce the amount of effort required to reach control targets. We found that increasing selectivity on younger, but mature, age classes allowed the control program to maintain the carp population below the 75% biomass reduction target with only 2.5 times the maximum historic effort level, while further increasing juvenile selectivity conferred minimal benefit. Furthermore, we evaluated historic levels of harvest effort against both previously set management targets and theoretical sustainable harvest targets (MSY). The historic level of suppression effort was less than that required to produce MSY regardless of the selectivity scenario explored, suggesting the control program would be harvesting at a sustainable rate even if it increases the range of ages effectively targeted by removal gears. Synthesis and applications. Controlling highly fecund invasive species becomes much more feasible if managers can identify an approach that targets all adult age classes. Explicitly considering sustainable harvest metrics provides a framework for evaluating a harvest control program\u27s ability to overcome density-dependent processes and achieve management objectives

    Increase in Area Burned and Wildfire Frequency in Utah by 2050

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    By 2050 nearly all landscapes in Utah (Fig. 1) will experience increases in area burned and fire frequency. However, these increases will not be equal across all vegetation (Fig. 2). Forests and Wildland Urban Interface (WUI) will likely experience the largest increases and expected to burn at higher severity than non-forest systems

    Editorial: Intelligent Robots for Agriculture -- Ag-Robot Development, Navigation, And Information Perception

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    Agriculture is undergoing a paradigm shift driven by global challenges such as climate change, labor shortages, and the increasing demand for sustainable food production. In response, intelligent robotics are emerging as a transformative technology, enhancing agricultural efficiency, precision, and sustainability. This Research Topic, “Intelligent Robotics in Agriculture -- Ag-Robot Development, Navigation, and Information Perception,” highlights advancements in agricultural robotics, including breakthroughs in system design, autonomous navigation, multi-sensor fusion, and machine learning applications. The collected works contribute significantly to the evolving landscape of smart farming by addressing critical challenges in agricultural automation

    Getting the Most Out of Your Imager

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    This practical workshop will focus on integrating spheres and other methods and maintaining NIST traceability through the calibration process. The workshop starts with a lecture on a basic framework to maintain integrity of radiometric and spectral signals and fundamentals of instrument characterization which is based the new IEEE 4001 standard. Hands-on sessions provide an opportunity to learn about characterizing and efficiently providing calibration measurements for successful campaign results. The workshop will be organized into three sections: 1. Measuring Absolute Radiance Radiometry & Characterization of Imagers 2. Measuring Payload Spectral Response Application of Sensor Characterization 3. Characterizing and Using Integrating Spheres Attend to discover measurement and test methods and how to test sensors and imaging systems and how integrating spheres can be used as an effective tool to make multiple measurements

    Curriculum Subcommittee Minutes December 4, 2025

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    Approval of Minutes - November 6, 2025 Program Proposals Semester Course Approval Reviews Other Business Adjourn: 3:02 p

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