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1 and SA can generate quantitatively accurate parametric (18)F-FLT VT images in NSCLC patients before
2 and SA can generate quantitatively accurate parametric (18)F-FLT VT images in NSCLC patients before
6 experimentally demonstrate high-gain optical parametric amplification using USRN, which is compositio
10 tum information tap by using a fiber optical parametric amplifier (FOPA) with correlated inputs, whos
11 synthesiser based on a mid-infrared optical parametric amplifier and its application to high-harmoni
14 ct of noise on accuracy and precision of the parametric analyses of dynamic (18)F-FLT PET/CT to asses
16 ion than previously thought, while our multi-parametric analysis defined common pathophysiological pa
28 oids and other natural products with the new parametric approach and demonstrate that the accuracy of
30 such coding sequences, suggesting that a non-parametric approach to modeling the recombination proces
31 ideas on a toy example, and the power of the parametric approach to TDA modeling in an analysis of co
34 effects have been observed to violate these parametric assumptions for such coding sequences, sugges
36 are performances of conventional statistical parametric (based on Nakagami distribution) and entropy
37 lak analysis, the R(2) between NLR-based and parametric-based (Patlak) tumor Ki was 0.95 (slope, 0.71
38 A high R(2) and agreement between NLR- and parametric-based Ki values was found, showing that Ki im
39 : A high R(2) and agreement between NLR- and parametric-based Ki values was found, showing that Ki im
42 me Atlas (TCGA) and developed iDriver, a non-parametric Bayesian framework based on multivariate stat
43 zation, a viewpoint compatible both with non-parametric Bayesian modelling and with sub-symbolic meth
44 signatures, in terms of frequency-dependent parametric beta-band modulation, have been observed rece
45 contrast was 1.6 and 2.0 times higher in the parametric BFM Ki images and 2.3 and 3.0 times in the Pa
48 h analyses are often further studied through parametric bootstrap procedures, using sequence simulato
49 s the standard Gumbel distribution; (ii) our parametric bootstrap simulator is approximately 40 000 t
52 rtially observed outcome and when performing parametric causal mediation analyses with a partially ob
55 osphide (ZGP) in a narrowband-pumped optical parametric chirped pulse amplifier (OPCPA) and a broadba
56 chirped pulse amplifier (CPA) or an optical parametric chirped pulse amplifier (OPCPA) for achieving
57 fficient moment expansion approximation with parametric closures that integrates well with the IPytho
58 a cloud-of-points, and developed a novel non-parametric clustering algorithm to cluster all the genot
67 f ICSs than 24-hour UFC excretion and that a parametric determination of LLGR increases the sensitivi
70 We propose a new Joint density based non-parametric Differential Interaction Network Analysis and
74 ical Bayesian approach can be applied to any parametric distribution, removing the need for lengthy d
75 pectrum of the entangled photons produced by parametric down-conversion and report a broad spectrum w
78 ssimilar quantum nodes, as elements based on parametric downconversion sources, quantum dots, colour
79 l device based on the process of spontaneous parametric downconversion to confirm it behaves as a gen
80 elated intensity measurements of spontaneous parametric downconversion using a commercially available
84 derived white matter-based reference region (parametric estimate of reference signal intensity [PERSI
86 round state, we show that in our experiment, parametric excitation from the quantum ground state lead
88 rathin ferromagnetic nanowire results in the parametric excitation of a propagating spin wave, which
89 n states of an atomic Bose gas that realizes parametric excitation of many-body collective spin state
91 d non-smokers (n=21), a previously validated parametric flanker task is employed to characterize addi
92 e transmon and individual eigenmodes through parametric flux modulation of the transmon frequency.
96 ttachment loss (CAL) was estimated using the parametric g-formula in adults aged 31 years from the 19
103 Functional MRI and performance during a Parametric Go/No-go test were used to predict per cent r
106 Results: The R(2) between NLR-based and parametric image-based (BFM) tumor Ki values was 0.98 (s
107 eity, correlated strongly between static and parametric images (r = 0.70-0.98, P </= 0.0006), exhibit
111 for quantitative analysis and generation of parametric images for the novel tau ligand (S)-(18)F-THK
114 various methods for generating quantitative parametric images of dynamic (11)C-phenytoin PET studies
120 nerated quantitative (S)-(18)F-THK5117 DVR-1 parametric images with the greatest accuracy and precisi
123 fectiveness of quantitative ultrasound (QUS) parametric imaging to characterize intra-tumour heteroge
130 identifiability (the analysis of the maximum parametric information available for a model given perfe
136 aluate parametric methods for computation of parametric Ki images by comparison to volume of interest
137 tumor-to-liver contrast was superior in the parametric Ki images compared with whole-body images for
139 n (R(2)) and agreement between VOI-based and parametric Ki values were assessed using regression and
141 not reveal any compelling associations, but parametric linkage analysis of 460 families (1062 affect
142 e performed a variant-level and a gene-level parametric linkage analysis on nine PNTM families (16 af
144 linkage on chromosome 1q23.3 to 1q24.3 (non-parametric logarithm of odds score 2.9, model-based loga
152 nt of cerebellar hypometabolism (statistical parametric mapping analyses, false discovery rate correc
156 cognitive domain, and we used the Biological Parametric Mapping toolbox to further control for local
162 .12%-31.23%), unweighted SC (25.73%-40.03%), parametric maps (28.02%-61.45%), and SUV (45.49%-45.63%)
163 .12%-31.23%), unweighted SC (25.73%-40.03%), parametric maps (28.02%-61.45%), and SUV (45.49%-45.63%)
165 make comparisons with compartmental modeling parametric maps and SUV segmentations using simulations
167 cy of quantitative ultrasound (QUS) spectral parametric maps in conjunction with texture-analysis tec
168 rvised cluster analysis was used to generate parametric maps of 11C-(R)-PK11195 binding potential.
169 performed on radiofrequency data to generate parametric maps of mid-band fit, spectral slope, spectra
170 h (MRvF) designed to provide high-resolution parametric maps of the microvascular architecture (i.e.,
171 dPET provides the data necessary to generate parametric maps of tumor hypoxia, perfusion, and radiotr
178 We therefore recommend BFM as the preferred parametric method for analysis of dynamic (18)F-FLT PET/
180 is (FIPSA), which is an individual-based non-parametric method for dissecting fine population structu
181 ensional subspace via an extremely efficient parametric method is combined with a judicious Gaussian
188 ective of this study was to validate several parametric methods for quantification of 3'-deoxy-3'-(18
193 d and accuracy were superior to existing non-parametric methods when the simulated sample size was up
202 of PEb was less than that of a prespecified parametric model, particularly for patients with higher-
203 l data are helpful in identifying a specific parametric model-the first of its kind, to our knowledge
204 eved through the generalization of tools for parametric modelling, describing the overall shape of pr
205 d with Cox proportional hazards and flexible parametric models adjusted for stratification factors.
209 L contributions to learning, as evidenced by parametric modulations of choice by load and delay and r
213 locking is achieved with low pumping powers (parametric oscillation threshold powers as low as 5.4 mW
214 states onto two distinct states of classical parametric oscillation: one oscillating state, with 185+
215 monstrated, where a lab-built 500 Hz optical parametric oscillator outputting nanosecond optical puls
216 with a low-maintenance midbandwidth optical parametric oscillator, a few second measurement should y
218 coupled time-multiplexed degenerate optical parametric oscillators to implement maximum cut problems
220 more recently using the quantum Hall effect, parametric permittivity modulation or Josephson nonlinea
221 rogeneity features extracted from static and parametric PET images of non-small cell lung carcinoma (
223 Both new datasets were reconstructed, and parametric pharmacokinetic parameters were compared betw
226 among genes, or rely on the assumption of a parametric probability distribution of gene measurements
227 ors, without the need of the assumption of a parametric probability distribution of gene measurements
230 In this study, we developed GuanRank, a non-parametric ranking-based technique to transform patients
231 rporation of machine learning may outperform parametric regression in observational data settings.
232 Our simulation study compares methods under parametric regression misspecification; our results high
238 irror was designed based on the principle of parametric resonance and images at 5 frames per second.
239 experimentally confirmed up to 28 orders of parametric resonance in a micromachined membrane resonat
240 has long predicted the onset of n orders of parametric resonance, previously reported experimental o
241 perimental observation of up to 28 orders of parametric resonance, which has thus far only been envis
242 n contrast to the 314 Hz for the first order parametric resonance; furthermore, the half power bands
245 addition to two novel CT metrics created by parametric response mapping (PRM), a technique pairing i
251 an accelerate model spin-up, permit thorough parametric sensitivity tests, enable pool-based data ass
253 r a nominal familywise error rate of 5%, the parametric statistical methods are shown to be conservat
254 t implements self-contained multivariate non-parametric statistical methods testing a complex null hy
255 gnetic resonance imaging (fMRI) analyses use parametric statistical methods that depend on a variety
256 kage GSAR provides a set of multivariate non-parametric statistical methods that test a complex null
257 confirmed in the flipped analysis and by non-parametric statistical testing (whole brain corrected P-
264 s it an ideal technique for fast mapping and parametric studies including extreme sample environment.
267 36) per experiment further allows for highly parametric studies, which are required when testing mult
270 putational Fluid Dynamics (CFD) to conduct a parametric study to enhance the design and performance o
271 ling angle were extracted after a systematic parametric study using finite element method (FEM) simul
275 nstructed Kaplan-Meier estimates and applied parametric survival analysis to examine proportions of p
283 occurrence networks were used along with non-parametric tests to identify differences between groups.
284 ng Spearman correlation coefficients and non-parametric tests were utilized to test differences among
288 siloxane) elastomers, we illustrate how this parametric triplet enables the replication of the strain
289 se techniques might have both structural and parametric uncertainties, the new data presented here sh
290 bilistic sensitivity analysis to account for parametric uncertainty in our estimates of the risk of E
292 ns of RL and WM to learning, is sensitive to parametric variations in both, and allows us to investig
294 s tested, the basis function method provided parametric VT and K1 values with the least bias compared
295 s tested, the basis function method provided parametric VT and K1 values with the least bias compared
299 n which brain regions exhibited multivariate parametric WM codes of the maintained frequencies during
300 ndent integration, multisensory integration, parametric working memory, and motor sequence generation
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