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1. Subsuns and rainbows during solar eclipses

   https://doi.org/10.1364/AO.387716  

   Können, Gunther P.; Schneider, Glenn; Zucker, Evan H.; Lahtinen, Panu (January 2020, Applied Optics)
2. Prebiotic Protocell Membranes Retain Encapsulated Contents during Flocculation, and Phospholipids Preserve Encapsulation during Dehydration

   https://doi.org/10.1021/acs.langmuir.1c03296  

   Cohen, Zachary R.; Cornell, Caitlin. E.; Catling, David C.; Black, Roy A.; Keller, Sarah L. (January 2022, Langmuir)
3. Activation and functional connectivity of cerebellum during reading and during arithmetic in children with combined reading and math disabilities

   https://doi.org/10.3389/fnins.2024.1135166  

   Ashburn, Sikoya M; Matejko, Anna A; Eden, Guinevere F (April 2024, Frontiers in Neuroscience)

   BackgroundReading and math constitute important academic skills, and as such, reading disability (RD or developmental dyslexia) and math disability (MD or developmental dyscalculia) can have negative consequences for children’s educational progress. Although RD and MD are different learning disabilities, they frequently co-occur. Separate theories have implicated the cerebellum and its cortical connections in RD and in MD, suggesting that children with combined reading and math disability (RD + MD) may have altered cerebellar function and disrupted functional connectivity between the cerebellum and cortex during reading and during arithmetic processing. MethodsHere we compared Control and RD + MD groups during a reading task as well as during an arithmetic task on (i) activation of the cerebellum, (ii) background functional connectivity, and (iii) task-dependent functional connectivity between the cerebellum and the cortex. ResultsThe two groups (Control, RD + MD) did not differ for either task (reading, arithmetic) on any of the three measures (activation, background functional connectivity, task-dependent functional connectivity). ConclusionThese results do not support theories that children’s deficits in reading and math originate in the cerebellum. 

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4. Microstructural and micromechanical evolution during dynamic recrystallization

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5. Emotion analysis and detection during COVID-19

   Sosea, Tiberiu; Pham, Chau; Tekle, Alexander; Caragea, Cornelia; Li, Junyi Jessy (January 2022, Proceedings of the Language Resources and Evaluation Conference)

   Understanding emotions that people express during large-scale crises helps inform policy makers and first responders about the emotional states of the population as well as provide emotional support to those who need such support. We present CovidEmo, a dataset of ~3,000 English tweets labeled with emotions and temporally distributed across 18 months. Our analyses reveal the emotional toll caused by COVID-19, and changes of the social narrative and associated emotions over time. Motivated by the time-sensitive nature of crises and the cost of large-scale annotation efforts, we examine how well large pre-trained language models generalize across domains and timeline in the task of perceived emotion prediction in the context of COVID-19. Our analyses suggest that cross-domain information transfers occur, yet there are still significant gaps. We propose semi-supervised learning as a way to bridge this gap, obtaining significantly better performance using unlabeled data from the target domain. 

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