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Recent work has relied on step-growth chemistries to produce LCEs with remarkable diversity and functionality.
Much of this recent work has relied on a single popular "universal" molecular marker or "DNA barcode" for the identification of fungi: the nuclear ribosomal internal transcribed spacer (ITS) region, including the three subregions the ITS1, 5.8S rDNA, and ITS2 [11] [12] [13].
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Most of the work has relied on visits to doctors and self-reported surveys of volunteers.
To date, this work has relied mostly on self-report measures and correlational research designs.
Many works have relied on DTW to gain robustness against these variations.
More recent work has articulated interfield relations without relying on the notion of a theory (Bechtel 1986, Burian 1993, Grantham 2004a, 2004b, Mitchell 2002).
Recent work has included application to large data sets [21].
Other recent work has focused on slightly different applications.
However, recent work has begun to address this shortfall.
Our recent work has focused on this problem of understanding.
Recent work has identified specific anti-HIV mechanisms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com