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        "event_title":"LexING Panel on Careers in Linguistics",
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        "combined_title":"LexING Panel on Careers in Linguistics: Linguists in Industry, Nonprofit, and Government",
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        "description":"Join us for the LexING Panel on April 15 at 2:30 PM via Zoom. This event features three U-M Ph.D. Linguistics graduates who are currently making an impact in industry. The 80-minute session includes a 40-minute panel discussion and a 40-minute open Q&A. All grad and undergrad students are welcome!\r\n\r\nOur Panelists:\r\nHayley Heaton: Assistant Director of Assessment, Center for Research on Learning and Teaching, University of Michigan\r\nJoseph Tyler: Senior Content Designer, Uber\r\nEmily Rae Sabo: Senior Data Analyst, OptiBrandRx",
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        "event_title":"2025 ERMINE COWLES CASE MEMORIAL LECTURE",
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        "combined_title":"2025 ERMINE COWLES CASE MEMORIAL LECTURE: Jennifer McElwain",
        "event_subtitle":"Jennifer McElwain",
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        "event_title":"EEB Prelim Seminar Series -  Life in Plastic, It\u2019s Fantastic: The microbial metabolisms of polyethylene and the implications for social phenotypes",
        "occurrence_title":"",
        "combined_title":"EEB Prelim Seminar Series -  Life in Plastic, It\u2019s Fantastic: The microbial metabolisms of polyethylene and the implications for social phenotypes: Skyler Har, PhD student, Duhaime Lab",
        "event_subtitle":"Skyler Har, PhD student, Duhaime Lab",
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        "description":"Talk title: Life in Plastic, It\u2019s Fantastic: The microbial metabolisms of polyethylene and the implications for social phenotypes\r\n\r\nSummary: Microbes are responsible for breaking down recalcitrant organic matter like lignin and chitin and thus reintroducing those molecules back into nutrient cycles. To do so, these microbes invest lots of energy into creating powerful arsenals of enzymes. These microbes are now challenged globally with novel recalcitrant polymers known collectively as plastic. Studies have found that there is little to no correlation of plastic degrading enzymes and the amount of plastic in the environment- leading to the conclusion that in general, microbes are not evolving to specialize on plastic degradation. However there is yet to be a satisfactory explanation as to why environmental degradation is so limited.\r\n\r\nWhile many microbial enzymes have been tested or hypothesized to degrade plastic, research on plastic biodegradation has primarily focused on one species at a time, and very few have been proven to work with polyethylene, the most widely used and hardest to degrade plastic. My dissertation will focus on characterizing microbial metabolisms of PE and its degradation products, and using these characteristics to predict the ecological relationship between members of a small modular community. This research will connect microbial metabolisms and ecology to investigate why environmental degradation is limited, and how metabolisms impact the function of plastic degrading synthetic consortia.",
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        "event_title":"EHAP Lecture Series: Lab Mice in Naturalistic Environments: A New Model for Understanding Causal Social Impacts on Individuality, Physiology, and Fitness",
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        "combined_title":"EHAP Lecture Series: Lab Mice in Naturalistic Environments: A New Model for Understanding Causal Social Impacts on Individuality, Physiology, and Fitness: Matt Zipple, Cornell University",
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        "description":"Social factors have long been associated with individual variation in behavior, physiology, health, and survival in non-human animals and humans. Yet, establishing the causality of these social influences and the mechanisms by which they act has been challenging. Among wild animals, uncontrollable genetic and environmental variation frustrates causal conclusions. And lab environments are unable to replicate the dynamic, complex social behaviors of natural populations. In this talk, I describe a solution to this problem: studying genetically identical laboratory mice in controlled, naturalistic outdoor enclosures. In such environments, mice navigate complex, dynamic physical and social environments that better match those that they evolved to exploit. I will describe work in which I have established the impact of social competition and luck on the development of individuality, causal links between social status and behavior and fitness outcomes in males, and the causal impact of social status on molecular physiology. The combination of behavioral ecological methods and theory with the scientific power of the lab mouse has opened up exciting new doors to answer questions that have been previously unanswerable either in the lab or in wild populations.",
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        "description":"The fundamental properties of the RNA double helix\u2014high structural stability and strict base-pairing specificity\u2014have profoundly influenced biological systems throughout evolutionary history and up to today. While the stability allows helices to serve as rigid scaffolds within structured RNAs, it also creates significant energetic barriers to rearrangement, necessitating RNA helicases as chaperones in RNA folding and remodeling. At the same time, the high specificity of Watson-Crick base pairing enables RNA-guided mechanisms, exemplified by CRISPR-Cas enzymes that leverage this specificity for DNA targeting. This talk will explore how these core biophysical properties have shaped RNA\u2019s biological roles, driven evolution of protein families, and enabled modern genome-editing tools.",
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        "event_title":"Ziwet Colloquium Lecture: From Phase Separation in Heterogeneous Media to Learning Training Schemes for Image Denoising",
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        "description":"What do these two themes have in common? Both are treated variationally, both deal with energies of different dimensionalities, concepts of geometric measure theory prevail in both, and higher order penalizations are considered. Will learning training schemes for choosing these penalizations in imaging may be of use in phase transitions?\r\n\r\nPhase Separation in Heterogeneous Media: Modern technologies and biological systems, such as temperature-responsive polymers and lipid rafts, take advantage of engineered inclusions, or natural heterogeneities of the medium, to obtain novel composite materials with specific physical properties. To model such situations using a variational approach based on the gradient theory of phase transitions, the potential and the wells may have to depend on the spatial position, even in a discontinuous way, and different regimes should be considered.\r\n\r\nIn the critical case where the scale of the small heterogeneities is of the same order of the scale governing the phase transition and the wells are fixed, the interaction between homogenization and the phase transitions process leads to an anisotropic interfacial energy. The supercritical case for fixed wells is also addressed, now leading to an isotropic interfacial energy. In the subcritical case with moving wells, where the heterogeneities of the material are of a larger scale than that of the diffuse interface between different phases, it is observed that there is no macroscopic phase separation and that thermal fluctuations play a role in the formation of nanodomains.\r\n\r\nLearning Training Schemes for Image Denoising: Due to their ability to handle discontinuous images while having a well-understood behavior, regularizations with total variation (TV) and total generalized variation (TGV) are some of the best known methods in image denoising. However, like other variational models including a fidelity term, they crucially depend on the choice of their tuning parameters. A remedy is to choose these automatically through multilevel approaches, for example by optimizing performance on noisy\/clean image training pairs. Such methods with space-dependent parameters which are piecewise constant on dyadic grids are considered, with the grid itself being part of the minimization. Existence of minimizers for discontinuous parameters is established, and it is shown that box constraints for the values of the parameters lead to existence of finite optimal partitions. Improved performance on some representative test images when compared with constant optimized parameters is demonstrated.",
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