1 Here,
we use 490 Argentinian V. cholerae genome sequences to charac
2 Then,
we use a coevolutionary model to illustrate how shifts in the
3 Here,
we use a combination of atom-resolved scanning probe microsco
4 Here,
we use a combination of protein semisynthesis, NMR, and enzym
5 Here,
we use a general model based on biochemical kinetics to quant
6 Here,
we use a long-term study with 106 GPS-collared free-ranging c
7 Here,
we use a machine-vision-based single-particle analysis (SPA)
8 Here,
we use a new technique termed 'atrophy network mapping' to te
9 We use a series of fluorene oligomers containing a central be
10 Here,
we use a Strengths-Weaknesses-Opportunities-Threats (SWOT) fr
11 We use a susceptible-infectious-recovered (SIR) model for two
12 Here,
we use a unique blend of crosslinking and immunoprecipitation
13 Here,
we use an automated capability to extract model Hamiltonians
14 Here
we use an ensemble of land-use and biodiversity models to ass
15 Here
we use ancestral protein reconstruction and biophysical assay
16 Here
we use behavioural modelling and functional magnetic resonanc
17 Moreover,
we use cell cycle tags to reinstall cell cycle control to a d
18 Here,
we use chemo-proteomics to annotate the degradable kinome.
19 We use correlations of tracers and tracer ratios to provide n
20 To address this,
we use Drosophila border cell migration, an invasive, collect
21 Here,
we use Drosophila, an established model for studies on trigly
22 First,
we use factor analysis to extract the three worldviews or way
23 In this paper,
we use [
Formula: see text]-statistics to formulate a statisti
24 Here,
we use G-deleted rabies virus-mediated monosynaptic tracing t
25 We use genomic profiling to reveal strong and broad loss of n
26 We use hydrological modeling and new 1200-year tree-ring reco
27 Here
we use inelastic neutron scattering to study magnetic fluctua
28 Here
we use infrared photothermal heterodyne imaging (IR-PHI) to i
29 Here
we use live and fixed cell imaging to uncover the role of Nek
30 Here,
we use live-cell single-molecule imaging in human cells to de
31 We use metabolic modeling to predict basal ROS production lev
32 Here,
we use millions of unique sequences from a DNA-based digital
33 Here,
we use multiple mouse models to investigate in vivo consequen
34 Here
we use multiple observational platforms and an eddy-resolving
35 Here
we use National Wetland Inventory data and 5-kilometre grid-s
36 Here,
we use nucleosome affinity proteomics with a library of nucle
37 We use our condition to nonparametrically estimate the drift
38 We use P-s scattered waves from the Moho as virtual sources t
39 Here,
we use population-based data from ~22,000 persons of known HI
40 Here,
we use quantum-logic techniques to prepare a trapped molecula
41 Here,
we use ray tracing to predict the spatial and temporal dynami
42 the diffusion of edema factor (EF) and lethal factor (LF),
we use sensitive quantitative methods to measure their enzyma
43 Here
we use single cell RNA-seq to show that murine IFE differenti
44 We use small-angle X-ray scattering (SAXS) to characterize th
45 We use stochastic optimization to derive triggers that ensure
46 Here
we use surface force apparatus combined with systematic mutat
47 Specifically,
we use the cases of nitrile hydration and oxidative biotransf
48 Drawing on polymer theory,
we use this change in lifetime to calculate steric pressure a
49 Here,
we use time series gene expression analyses of the rattlesnak
50 resent three-dimensional reconstructions of Namapoikia that
we use to assess the organism's proposed affinity.