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Hualapai is a Yuman language with a verbal morphological system, seen in various languages of the region, which poses difficulties for a compositional analysis. In particular, Hualapai verb morphology exhibits incrementality (see Baerman 2016, 2019, 2024), where there is no one-to-one mapping between forms and meanings. Instead, forms are ordered on a scale tracking morphological complexity, and more complex morphological forms are mapped, all things being equal, to meanings that are higher on some semantic scale. In the case of Hualapai, the incremental system concerns a plurality, which in this case conflates plural argument marking and plural event marking, also known as pluractionality. This paper provides the first compositional morphosemantic treatment of Hualapai verbal plurality, which in addition, is used to think about how we might handle such incremental systems in general using standard morphological and semantic tools. 

Abstract The semiconductor tracker (SCT) is one of the tracking systems for charged particles in the ATLAS detector. It consists of 4088 silicon strip sensor modules.During Run 2 (2015–2018) the Large Hadron Collider delivered an integrated luminosity of 156 fb -1 to the ATLAS experiment at a centre-of-mass proton-proton collision energy of 13 TeV. The instantaneous luminosity and pile-up conditions were far in excess of those assumed in the original design of the SCT detector.Due to improvements to the data acquisition system, the SCT operated stably throughout Run 2.It was available for 99.9% of the integrated luminosity and achieved a data-quality efficiency of 99.85%.Detailed studies have been made of the leakage current in SCT modules and the evolution of the full depletion voltage, which are used to study the impact of radiation damage to the modules.