1 We derived (
11)C-HED retention indices (RIs; mL of blood
2 Using these maps as constraints,
we derive 14 conformations of dsDNA by molecular dynamic
3 We derived 27 328 chromatin immunoprecipitation-sequenci
4 We derive a 2.2 Pg C loss of AGB over the study period,
5 We derive a behavioral model that reveals a critical per
6 Focusing on an RNA with two binding sites,
we derive a characteristic difference of free energy dif
7 We derive a characteristic horizontal granule size of ab
8 From the experimental data,
we derive a chemical mechanism and rate equations for a
9 We derive a class of estimators that provably predict U
10 For a simplified power flow model, here
we derive a closed-form condition under which a power ne
11 We derive a closed-form expression to quantify these eff
12 We derive a combinatorial characterization of the soluti
13 of multiple drug target pathway activation,
we derive a combinatorial regimen co-targeting two mutua
14 Separately,
we derive a complete model of dopamine and spike-timing
15 using arguments based on timescale analysis,
we derive a concise model of whole-cell BKCa currents, w
16 Starting from the extended model,
we derive a continuum plate description of cell sheets,
17 g these substates at millisecond resolution,
we derive a detailed kinetic model for Hel308 translocat
18 First,
we derive a differential equations model of midgut resiz
19 We derive a dispersion function that incorporates the po
20 We derive a family of weighted uncertainty relations to
21 We derive a fast variational Bayesian inference algorith
22 We derive a feeding functional response that accounts fo
23 To address these issues,
we derive a framework for determining the existence and
24 Within this framework,
we derive a fundamental lower-bound on recall precision,
25 We derive a general expression for s as a function of ch
26 We derive a general formula that relates the difference
27 We derive a general network model that relaxes the symme
28 ctors with an analytical coupled-mode model,
we derive a general strategy to maximize the field enhan
29 ling experiments of Meservey and Tedrow, and
we derive a generalized analytical criterium to describe
30 We derive a generalized TL in terms of sample and popula
31 Here,
we derive a gridded global map of riverine fisheries and
32 By contrast,
we derive a haploinsufficiency score from a combination
33 clusters are better able to sense gradients:
We derive a link between cluster accuracy, cell-to-cell
34 We derive a lower bound for the number of entangled ense
35 We derive a mean-field free energy for the phase behavio
36 er time increments of fractions of a second,
we derive a mechanistic explanation of the well-known va
37 We derive a mechanistic framework to explain the stepwis
38 We derive a method that approximates the average power a
39 We derive a model that captures the sharp onset and the
40 We derive a model to explain the roles of HCT1806 and HC
41 Here,
we derive a necessary condition for concentration robust
42 Herein,
we derive a new approach for improving efficiencies-high
43 Here
we derive a new estimate of the recent freshwater flux f
44 We derive a new method for determining radial diffusion
45 We derive a non-linear kinetic theory of the laser spect
46 Here
we derive a normal approximation for such word counts.
47 We derive a novel decomposition of variance in age of de
48 Here
we derive a physical description of collective cellular
49 We derive a probabilistic model of noise-corrupted and r
50 etermined structures and homology modelling,
we derive a pseudo-atomic structure of the full-length S
51 Here
we derive a quality factor formula based on the definiti
52 and imposing the condition of flux balance,
we derive a quantitative model of bacterial growth trans
53 From these data,
we derive a quantitative, fine-scale picture of the dist
54 al set of equations in the transient regime,
we derive a reduced closed set of equations for populati
55 ting from basic concepts in polymer physics,
we derive a relationship between the radius of gyration
56 We derive a relationship relating the true treatment dos
57 How do
we derive a sense of the separation of points in the wor
58 the formalism of stochastic thermodynamics,
we derive a set of design principles for growing control
59 Here,
we derive a set of mathematical models that represent th
60 We derive a sharp bound as the quantum speed limit (QSL)
61 By analysing this database,
we derive a simple empirical expression for tauX*(trg, m
62 exposed to repeated famine-and-feast cycles,
we derive a simple relation between the duration of feas
63 metric Graphs and Euclidean Random Matrices,
we derive a simple, analytic criterion for the persisten
64 In contrast, for death-birth (DB) updating,
we derive a simple, computationally tractable formula fo
65 We derive a species- and temperature-specific data-drive
66 We derive a specific testable prediction: Increasing the
67 First,
we derive a stochastic model for thermally-activated mot
68 report, based on recent experimental setups,
we derive a strong photon long-range repulsive interacti
69 and the principle of structural covariance,
we derive a structural network showing how myelin densit
70 Finally,
we derive a theoretical model that quantitatively descri
71 Consequently,
we derive a theoretical model to simulate the fibre-soil
72 We derive a thermodynamic cycle that gives access to the
73 We derive a two-layer multiplex Kuramoto model from Wils
74 We derive a very fast method of fitting an extended vers
75 apparent gap between theory and experiment,
we derived a closed-form expression for the probability
76 We derived a cohort of 115,425 patients on incident hemo
77 In this study,
we derived a collection of induced pluripotent stem cell
78 with hard X-ray photoelectron spectroscopy,
we derived a complete picture of the interfacial carrier
79 From these results,
we derived a dependence of SOA numbers on nonanoic acid
80 Previously,
we derived a general functional response for CTL killing
81 We derived a high-confidence network of 295 target relat
82 We derived a library of biological parts from the databa
83 We derived a mathematical framework that suggests these
84 We derived a mathematical model that combines material b
85 om a population of approximately 25,000 BCs,
we derived a molecular classification that identified 15
86 erive the best-fitting Cox model, from which
we derived a multivariable fractional polynomial model.
87 We derived a new P. knowlesi line (University Malaya lin
88 food group included in the prudent pattern,
we derived a new prudent pattern without the contributio
89 aging the information from multiple designs,
we derived a new sequence model for predicting sgRNA eff
90 We derived a nomogram using mortality predictors derived
91 We derived a novel CD4-independent, CCR5-tropic variant
92 To address this challenge,
we derived a novel form of the logistic growth equation
93 We derived a phase diagram of CO2 in ZIF-7, which exhibi
94 From the simulation results,
we derived a phenomenological relation between the aspec
95 site structural information of Kgp and RgpB,
we derived a plausible homology model and mechanism of K
96 We derived a prediction rule for 1-year ischemic stroke
97 We derived a prediction score using risk factors for VRE
98 To investigate this targeting,
we derived a quantitative and analytical approach.
99 Based on the model,
we derived a set of equations suitable for incorporation
100 We derived a set of new temperature response functions t
101 We derived a set of nine predictions linking spatial dis
102 Finally,
we derived a simple mass-balance model to estimate fish
103 We derived a structural model of WDR26 and note that mis
104 We derived a total diet diversity score and additional s
105 We derived a transmission nomogram to determine the plau
106 data, presented in the accompanying article,
we derived a two-cycle model that describes the photocyc
107 We derive alternative small molecule drug-response metri
108 data along with the estimated surface areas,
we derive an amino-acid propensity scale that enables pr
109 We derive an analytic expression for the distribution of
110 In this study,
we derive an analytical estimate of the probability of r
111 o account the chromatin's fractal dimension,
we derive an analytical expression for the rate of repli
112 We derive an analytical function based on the elastic-vi
113 We derive an analytical method using a spatial Fourier t
114 We derive an analytical theory to understand the emergen
115 Here
we derive an approximation for the stability of food web
116 We derive an axis of thermal adaptation that is independ
117 orbit coupling and an external Zeeman field,
we derive an effective spin model in the Mott insulator
118 We derive an EM algorithm to estimate ancestry-specific
119 Here
we derive an ensemble of gross primary production (GPP)
120 We derive an equation that can accurately predict codon
121 Particularly,
we derive an equivalent model subject to a sum-to-zero c
122 We derive an exact analytical solution for both the spat
123 Here,
we derive an exact expression for the local thermal ener
124 Importantly, for bimolecular reactions
we derive an exact expression relating the macroscopic o
125 We derive an expression for the synaptic strength dynami
126 We derive an integer linear programming solution to the
127 We derive an intuitive formula that approximates the pro
128 Here
we derive an optimized protocol for fecal sample handlin
129 Using principles from double-layer theory
we derived an approximate linear equation (relating the
130 esponse of over 120 human cancer cell lines,
we derived an expression-based algorithm that can predic
131 We derive analytic broadband pi/2 and pi pulses that per
132 We derive analytic equations and also develop a computat
133 We derive analytic expressions for a model's likelihood
134 For these different experiments,
we derive analytic expressions for the observables that
135 We derive analytical formulas for the total noise in pro
136 We derive and identify key nondimensional parameters for
137 Instead,
we derive and solve the systems of ordinary differential
138 /phosphatase-substrate knowledge, from which
we derive and train logic models.
139 increases with time, according to rates that
we derive and which are notably independent of the mecha
140 l focus modulates the belief update process,
we derived and fitted several probabilistic and non-prob
141 To this end,
we derived and investigated the cortical morphology from
142 We derived and tested a multibiomarker-based model to es
143 linical studies incorporating 4168 patients,
we derived and validated a 12-item KCCQ, the KCCQ-12, to
144 From these data,
we derived and validated a characteristic decoding map t
145 Based on these observations,
we derived and validated a set of phosphorylation codes
146 Furthermore,
we derived and validated nine additional DNA shape featu
147 We derived approximate expressions for the half-times of
148 We derived average values of (18)F-FMISO kinetic paramet
149 measurement error from dietary self-reports.
We derived biomarker-calibrated dietary energy and prote
150 xploiting an exact diagonalisation approach,
we derive both analytical and numerical results for the
151 We derive boundary-independent scaling and truncation pr
152 Here
we derive cell lines transformed by the oncogenic U2AF35
153 We derive closed-form expressions for cortical receptive
154 With Dataset I,
we derived Comparative Molecular Similarity Indices Anal
155 Finally,
we derive comprehensive mutational landscapes in the mem
156 We derived conclusions regarding the rate of Rb(+) deocc
157 n this work, based on the balance of forces,
we derive conditions for a drop to self-transport toward
158 We derive conditions on the external control field which
159 We derive conditions that proteins need to meet to be ab
160 We derive constraints for two of the most common types o
161 Firstly,
we derive constraints under which classes of spiking neu
162 We derive corrections to expressions given previously fo
163 Using a standard tool (TRIVAC),
we derived cost-effectiveness.
164 We derived county-level average daily concentration leve
165 tals (SC NC), and noble metal particles, and
we derive criteria for their use.
166 in parallel computing, and genetic mapping,
we derive,
de novo, a sequence assembly representing 9.1
167 We derive del(7q)- and isogenic karyotypically normal in
168 We derive design principles and adaptive treatment strat
169 We derived dietary patterns that were hypothesized to be
170 Finally,
we derive diffusion and concentration pseudo-maps using
171 We derived dimensions of apathy and impulsivity using pr
172 We derived disease models for 3,145 common human disease
173 statistical physics and information theory,
we derive epigenetic energy landscapes from whole-genome
174 rapping of molecular interactions) platform,
we derived equilibrium DNA binding data for PPARgamma, R
175 We derived erythrocyte FA patterns for a Puerto Rican co
176 Here,
we derive ES and iPS cells from a transgenic Oct4 distal
177 ntagonism to both simulate and analyze data,
we derived estimates of association and dissociation rat
178 he genotype-derived PHS for each individual,
we derived estimates of instantaneous risk for developin
179 We derive EWS statistics from a prehistoric population p
180 We derive exact formulas for the expected numbers of sub
181 We derive expressions for the rate of spread of an inver
182 Using the geometric-structure approach,
we derive for the first time a highly accurate formula f
183 ck variability affected ecosystem processes,
we derived forest growth estimates from a large network
184 We derive four laws relating the absorptivity and emissi
185 From this main theme,
we derived four sub-themes: (1) confronting vulnerabilit
186 We derived four unique dimensions of mental state repres
187 The meaning
we derive from our experiences is not a simple static ex
188 Finally,
we derive from these measurements a scalar index providi
189 epigenetic hybrid plants (epiHybrids), which
we derived from near-isogenic but epigenetically diverge
190 edicare database with disease-gene maps that
we derived from several resources including a semantic-d
191 totic drug response on Bcl-xL and Mcl-1 that
we derived from the modeling analysis provides a quantit
192 Here
we derive frontal ablation rates for three dynamically c
193 e inferior frontal gyrus (pars opercularis),
we derived functional and structural connectivity maps i
194 We derive fundamental trade-offs between the magnitude o
195 w method, linkage disequilibrium regression,
we derived genetic correlations, free from the confoundi
196 hat significantly reduce AMA's compute time:
we derive gradients of cost functions for which two popu
197 Specifically,
we derived grey matter density and standardized uptake v
198 We derive grid-dependent error statistics for individual
199 lead development, and on the basis of them,
we derive guidelines for DECL design.
200 We derive here an asymptotic approximation that accurate
201 subcortical size and shape in humans, which
we derive here for the first time.
202 We derived high-dimensional propensity scores using regi
203 Using homology models
we derived,
high-throughput virtual screening of five mi
204 Using stochastic gradient descent,
we derive how the activity in 'tutor' circuits (e.g., LM
205 We derived human monoclonal antibodies from persons who
206 We derived immortalized human DPC lines from balding (BA
207 osing preferential orientation to particles,
we derive information on shape from samples of a few tho
208 On the basis of these results,
we derived interaction geometries to improve current com
209 The correlated electronic structure
we derive is promising in the sense that it leads to res
210 We derive its age to be nearly half the age of the Unive
211 We derived length-adjusted FM and FFM values as unexplai
212 We derived macrocyclic HIV-1 antagonists as a new class
213 Here
we derive mathematical conditions for the identifiabilit
214 d mechanism-based networks for each disorder
we derive measure that allows us to quantify the relativ
215 We derived methylation predictors by estimating probe-tr
216 We derive minimal requirements to create nonreciprocity
217 We derived monoclonal antibodies (MAbs) from peripheral
218 To circumvent these issues,
we derived MSCs from transgene-free human induced plurip
219 al model to study neurodegeneration in AOA2,
we derived neural progenitors from a patient with AOA2 a
220 We derived observed rates of events, outcomes, cost of c
221 For comparative analyses,
we derived one-to-one paired cohorts of watch and wait v
222 ical calculations and numerical simulations,
we derive optimal operational regimes for BBCIs, and for
223 We derived our model using individual data from 478 acut
224 ute respiratory distress syndrome diagnosis,
we derived our prediction score in 300 acute respiratory
225 Further,
we derive phenomenological and atomistic theories that d
226 We derived pooled risk ratios (RRs) with random-effects
227 In this population-based study,
we derived population attributable fractions (PAFs) usin
228 We derived population estimates with the Respondent-Driv
229 hoosing regularization parameters from data,
we derive posterior probability distributions, allowing
230 We derive precise complexity results for a variety of sc
231 We derive precise conditions for natural selection to fa
232 We derive presence-weighted UniFrac to complement the ex
233 We derived primary bone marrow macrophages lacking Arp2/
234 s left ventricular ejection fraction >/=40%,
we derived propensity scores for nitrate use using 52 ba
235 Through simulations,
we derived properties of causal variants and used them t
236 We derived quality scores, scaled to a maximum of 25 per
237 Previously
we derived replicate iPSC lines of African American, His
238 Next,
we derive results looking backward in time: for a given
239 In this study,
we derived retreat rates of chalk cliffs on the south co
240 We derived risk scores from Cox's model in two thirds of
241 Using the model plant Arabidopsis thaliana,
we derive robust estimates of the rate at which methylat
242 nspired by the mathematics of tessellations,
we derive rules for the design of single CMPs that self-
243 Here
we derive saltation threshold wind speeds under the thic
244 rs and 110 healthy breast tissues from TCGA,
we derive sample-specific protein interaction networks a
245 We derived scaling laws for two noncommutative models of
246 Specifically,
we derive score statistics from a retrospective likeliho
247 mpilation of gauged suspended sediment flux,
we derive separate estimates of global biospheric and pe
248 s were assessed using different instruments,
we derived separate dimensional alcohol misuse scales an
249 In secondary analyses,
we derived separate models within strata of prior skin c
250 To illustrate this,
we derive several powerful algorithms, ranging from Mark
251 Finally,
we derive simple conditions that must be satisfied for u
252 We derive simple laws for the cavitation transition as w
253 We derive statistical predictions, which indicate that c
254 We derived strong associations between mutations in 57 E
255 We derive structural and binding energy trends for twent
256 We derive such a significant fraction of neutral hydroge
257 Using this framework,
we derive sufficient conditions for the population to be
258 Here,
we derive sympathetic neurons from hPSCs and show that t
259 We derive the approximate shape of the fundamental pure-
260 Using transition-state theory,
we derive the binding energy of CO to Pt(111) terraces,
261 For ideal gas mixtures
we derive the classic Nernst-Planck equation.
262 Equally,
we derive the conditions for the occurrence of bunching
263 As one application of these results,
we derive the corrected Carnot efficiency of a qubit hea
264 We derive the dependency of wintertime runoff on this wa
265 We derive the evolution equation for the curves by consi
266 nked actin filaments and myosin-II clusters,
we derive the force balance equations and solve them num
267 Motivated by recent experiments,
we derive the fundamental limits to the precision of gra
268 jority of atoms are readily accomplished and
we derive the intermolecular interface between CFL2 and
269 To control the type I error rate,
we derive the joint distribution of the test statistics
270 bling peptide 2 (SA2 peptide) as an example,
we derive the local and global organization of a multime
271 We derive the low-energy field theory describing a non-B
272 functional theory and excited state methods,
we derive the molecular origins of the spectral modulati
273 We derive the optimal gradient for separating the landin
274 We derive the optimal Hamiltonian control, which is gene
275 We derive the permeability for an SLB integrating gA and
276 Here,
we derive the rate of this localised-surface-plasmon med
277 We derive the structure of (38)Ar/(36)Ar between the hom
278 We derived the elasticities of r to the first and second
279 layers and CDX2-positive progeny, from which
we derived the first human trophoblast stem cell line.
280 Based on our data,
we derived the following sequence of mTEC differentiatio
281 To this end,
we derived the gene damage index (GDI): a genome-wide, g
282 employing natural (13)C tracing techniques,
we derived the proportional contributions of below-groun
283 riations of CA activities, and subsequently,
we derived the quantitative relation between the (18)O-i
284 We derived the scaling laws for the elastic force and th
285 We derived the trajectory of interhemispheric functional
286 We derive theoretical conditions for the crossover betwe
287 We derive these weights in closed form and illustrate th
288 We derive this framework from probabilistic principles,
289 We derive this result from high-magnetic-field transport
290 We derived thresholds for the metric keratoconus indices
291 We derived time series of 2006-2008 O3 concentrations co
292 study (encoding) and test (retrieval) event,
we derived time-frequency resolved representational patt
293 In this work
we derive,
to our knowledge, a new 1D mathematical model
294 ins of the green fluorescent protein family,
we derived transition dipole moments corresponding to th
295 We derive two alternative empirically testable hypothese
296 We derive two behavioral predictions of this model and s
297 We derive two principal components (PCs) of temporal mag
298 Second, for some common types of local PWAs,
we derived two integral equation systems that can be num
299 We derive ways to test between the alternative optimizat
300 We derived WLZs by using 2006 WHO growth standards.