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   Shamsi, F.; Najafizadeh, L. (April 2020, The OSA Biophotonics Congress)

   We present the first study of the effects of pain on the classification of fNIRS recordings, and evaluate the performance of a model trained on the pain-free data for classifying the data with the presence of pain. 

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2. On the influence of pore connectivity on performance of membrane filters

   https://doi.org/10.1017/jfm.2020.520  

   Gu, B.; Renaud, D. L.; Sanaei, P.; Kondic, L.; Cummings, L. J. (November 2020, Journal of Fluid Mechanics)

   null (Ed.)

   We study the influence of a membrane filter's internal pore structure on its flow and adsorptive fouling behaviour. Membrane performance is measured via (1) comparison between volumetric flow rate and throughput during filtration and (2) control of concentration of foulants at membrane pore outlets. Taking both measures into account, we address the merits and drawbacks of selected membrane pore structures. We first model layered planar membrane structures with intra-layer pore connections, and present comparisons between non-connected and connected structures. Our model predicts that membrane filters with connected pore structures lead to higher total volumetric throughput than those with non-connected structures, over the filter lifetime. We also provide a sufficient criterion for the concentration of particles escaping the filter to achieve a maximum in time (indicative of a membrane filter whose particle retention capability can deteriorate). Additionally, we find that the influence of intra-layer heterogeneity in pore-size distribution on filter performance depends on the connectivity properties of the pores. 

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3. On the Impact of Fine-Tuning on Chain-of-Thought Reasoning

   Lobo, Elita; Agarwal, Chirag; Lakkaraju, Himabindu (May 2025, The North American Chapter of the Association for Computational Linguistics (NAACL))
4. On a neck, on a spit: controls on the shape of free spits

   https://doi.org/10.5194/esurf-4-193-2016  

   Ashton, A. D.; Nienhuis, J.; Ells, K. (January 2016, Earth Surface Dynamics)

   null (Ed.)

   Abstract. We investigate the controls upon the shape of freely extending spits using a one-contour-line model of shoreline evolution. In contrast to existing frameworks that suggest that spits are oriented in the direction of alongshore sediment transport and that wave refraction around the spit end is the primary cause of recurving, our results suggest that spit shoreline shapes are perhaps best understood as graded features arising from a complex interplay between distinct morphodynamic elements: the headland updrift of the spit, the erosive "neck" (which may be overwashing), and the depositional "hook". Between the neck and the hook lies a downdrift-migrating "fulcrum point" which tends towards a steady-state trajectory set by the angle of maximum alongshore sediment transport. Model results demonstrate that wave climate characteristics affect spit growth; however, we find that the rate of headland retreat exerts a dominant control on spit shape, orientation, and progradation rate. Interestingly, as a spit forms off of a headland, the rate of sediment input to the spit itself emerges through feedbacks with the downdrift spit end, and in many cases faster spit progradation may coincide with reduced sediment input to the spit itself. Furthermore, as the depositional hook rests entirely beyond the maximum in alongshore sediment transport, this shoreline reach is susceptible to high-angle wave instability throughout and, as a result, spit depositional signals may be highly autogenic. 

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5. Synthesis of Armchair Graphene Nanoribbons on Germanium-on-Silicon

   https://doi.org/10.1021/acs.jpcc.9b04390  

   Saraswat, Vivek; Yamamoto, Yuji; Kim, Hyun Jung; Jacobberger, Robert M.; Jinkins, Katherine R.; Way, Austin J.; Guisinger, Nathan P.; Arnold, Michael S. (July 2019, The Journal of Physical Chemistry C)