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1. On consistent vertex nomination schemes

   Lyzinski, V.; Levin, K.; Priebe, C. E. (January 2019, Journal of machine learning research)

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2. Fine-Grained, Nomination Coding in the Support Domain: Promising Teacher Discourse Measures

   https://doi.org/10.1080/00220973.2024.2312521  

   Kelly, Sean; Muthoka, Hadassah; Vines, Erin; Wormington, Stephanie; D’Mello, Sidney (April 2024, The Journal of Experimental Education)
3. Fine-Grained, Nomination Coding in the Support Domain: Promising Teacher Discourse Measures

   Kelly, Sean; Muthoka, Hadassah; Vines, Erin; Wormington, Stephanie; D’Mello, Sidney (April 2024, The Journal of experiential education)

   In this study, we report results from a novel coding of the Measures of Effective Teaching (MET) Study data that offers evidence on a set of teacher discourse measures in the domain of teacher support including: public praise vs. admonishment, autonomy support vs. controlling language, strategy suggestion vs. lack thereof, and discourse supporting (vs.undermining) learning mindsets. Novel coding of these constructs is paired with extant measures of instruction and achievement in the MET data. Several of the newly coded discourse measures have promising features, including high lesson- and teacher-level variability, and convergent and discriminant validity with existing protocols. We also report possible associations with change in achievement over two years. 

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4. Nomination for-Electrosprayed Thin Films of Multifunctional Melanin Nanoparticles for Photoprotective and Antioxidant Properties

   https://doi.org/10.1109/EMBC53108.2024.10781697  

   Madiyar, Foram; Stewart, Giulia E; Ghate, Sahil; Jafari, Aria; Nielsen, Kaitlyn; Paget, Luke; Hartnett, Amelia; Veracka, John (July 2024, IEEE)
5. The Miocene: The Future of the Past

   https://doi.org/10.1029/2020PA004037  

   Steinthorsdottir, M; Coxall, HK; de_Boer, AM; Huber, M; Barbolini, N; Bradshaw, CD; Burls, NJ; Feakins, SJ; Gasson, E; Henderiks, J; et al (April 2021, Paleoceanography and Paleoclimatology)

   Abstract The Miocene epoch (23.03–5.33 Ma) was a time interval of global warmth, relative to today. Continental configurations and mountain topography transitioned toward modern conditions, and many flora and fauna evolved into the same taxa that exist today. Miocene climate was dynamic: long periods of early and late glaciation bracketed a ∼2 Myr greenhouse interval—the Miocene Climatic Optimum (MCO). Floras, faunas, ice sheets, precipitation,pCO₂, and ocean and atmospheric circulation mostly (but not ubiquitously) covaried with these large changes in climate. With higher temperatures and moderately higherpCO₂(∼400–600 ppm), the MCO has been suggested as a particularly appropriate analog for future climate scenarios, and for assessing the predictive accuracy of numerical climate models—the same models that are used to simulate future climate. Yet, Miocene conditions have proved difficult to reconcile with models. This implies either missing positive feedbacks in the models, a lack of knowledge of past climate forcings, or the need for re‐interpretation of proxies, which might mitigate the model‐data discrepancy. Our understanding of Miocene climatic, biogeochemical, and oceanic changes on broad spatial and temporal scales is still developing. New records documenting the physical, chemical, and biotic aspects of the Earth system are emerging, and together provide a more comprehensive understanding of this important time interval. Here, we review the state‐of‐the‐art in Miocene climate, ocean circulation, biogeochemical cycling, ice sheet dynamics, and biotic adaptation research as inferred through proxy observations and modeling studies. 

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