1 We derived (
11)C-HED retention indices (RIs; mL of blood
2 To this end,
we derived 2-connected (2-c) zigzag ligands from 4-c squ
3 y and 355 pneumonectomy patients identified,
we derived 318 matched pairs.
4 We derived 5% and 1% pointwise normative limits.
5 We derived 6 indicators of anthropometric data quality a
6 We derived 8 organoids from 8 EAC tissues and tested the
7 Accordingly,
we derive a "space-time" tradeoff between the number of
8 We derive a 2.2 Pg C loss of AGB over the study period,
9 Here,
we derive a 7700-year, quantitative precipitation record
10 We derive a characteristic horizontal granule size of ab
11 We derive a core gene set of 512 heat shock and stress r
12 and in the host-galaxy environments(11), and
we derive a cosmic baryon density of [Formula: see text]
13 g these substates at millisecond resolution,
we derive a detailed kinetic model for Hel308 translocat
14 First,
we derive a differential equations model of midgut resiz
15 We derive a dimensionless curvature parameter that gover
16 We derive a fast variational Bayesian inference algorith
17 We derive a function to describe this and predict the "a
18 Within this framework,
we derive a fundamental lower-bound on recall precision,
19 scribed olfactory neuron in C. elegans, here
we derive a general and broadly useful model that matche
20 On the basis of our results,
we derive a general design principle for acid CO(2) elec
21 We derive a general expression for s as a function of ch
22 We derive a general formula that relates the difference
23 We derive a general framework to classify nonlinear resp
24 We derive a general network model that relaxes the symme
25 In this paper, after 90 y,
we derive a generalization and improvement of Temple's l
26 First,
we derive a generalized conservation planning framework
27 We derive a hierarchy of pathogens, whereby pathogens re
28 4:2 (SSDP-Chip/LDB) stoichiometry of ChiLS,
we derive a highly constrained structural model for this
29 We derive a human memory circuit using 53 case reports o
30 clusters are better able to sense gradients:
We derive a link between cluster accuracy, cell-to-cell
31 We derive a long-time asymptotic-state expansion for the
32 Using mean-field theory,
we derive a low-dimensional description of the network d
33 Using a recently developed ansatz
we derive a low-dimensional macroscopic model for the co
34 We derive a lower bound for the number of entangled ense
35 Here,
we derive a mathematical framework, based on the physics
36 We derive a mathematical model of regulation that relate
37 s information theory and Bayesian inference,
we derive a maximum entropy model of people's internal r
38 on shape analyses of fossil skull endocasts,
we derive a measure of endocranial globularity from stru
39 er time increments of fractions of a second,
we derive a mechanistic explanation of the well-known va
40 We derive a mechanistic framework to explain the stepwis
41 From these data,
we derive a methane emission rate of 120 +/- 32 metric t
42 To fill the research gap,
we derive a method to predict the transportability of AI
43 We derive a metric, the probability of strong lensing ev
44 ecent experimental results for single cells,
we derive a minimal length scale for the patterns in the
45 o investigate how Cdr2 nodes may sense area,
we derive a minimal mathematical model that incorporates
46 Collectively,
we derive a molecular model to explain how Microprocesso
47 We derive a necessary and sufficient condition for exist
48 Herein,
we derive a new approach for improving efficiencies-high
49 We derive a new estimate of modern soil carbon stock to
50 We derive a new expression for the expected level of neu
51 We derive a new nonlinear dynamical system for microbial
52 Using machine learning,
we derive a non-invasive summary-statistic of the primar
53 We derive a null model for the network based on the sign
54 Here
we derive a physical description of collective cellular
55 Finally,
we derive a predictive model of future proliferation beh
56 etermined structures and homology modelling,
we derive a pseudo-atomic structure of the full-length S
57 Here,
we derive a psychological ontology from a study of indiv
58 Here
we derive a quality factor formula based on the definiti
59 We derive a recursion relation for dose-response curves
60 al set of equations in the transient regime,
we derive a reduced closed set of equations for populati
61 In this paper,
we derive a reduced ODE model that captures spatial effe
62 ion with the Maxwell-Calladine index theorem
we derive a relation between the number of linear foldin
63 ting from basic concepts in polymer physics,
we derive a relationship between the radius of gyration
64 We derive a relationship relating the true treatment dos
65 We derive a scaling law for linear elastic matrices such
66 Here,
we derive a set of coupled fundamental equations to desc
67 In this work,
we derive a simple analytical model for hemiwicking in m
68 rate limited by an entropy-related barrier,
we derive a simple formula for virus inactivation time a
69 exposed to repeated famine-and-feast cycles,
we derive a simple relation between the duration of feas
70 Using asymptotic analysis,
we derive a simplified model based on physiological data
71 tion time of either free-riders or producers
we derive a slow manifold solution.
72 We derive a statistical framework inspired by random mat
73 We derive a stroma-corrected ZEB1-activated transcriptio
74 We derive a surprisingly simple formula that relates the
75 We derive a testable estimate of glacier retreat driven
76 For each regime,
we derive a timescale that describes the influence of ge
77 We derive a very fast method of fitting an extended vers
78 points from recursive partitioning analysis,
we derived a 5-miRNA signature (let-7b, let-7c, miR-18a,
79 We derived a cohort of 115,425 patients on incident hemo
80 In this study,
we derived a collection of induced pluripotent stem cell
81 We derived a combined prognostic model using retrospecti
82 he data from this multi-domain task battery,
we derived a comprehensive functional parcellation of th
83 To support the analysis,
we derived a formula to estimate the occurrence of coamp
84 We derived a gene signature associated with tertiary lym
85 In this work,
we derived a general relationship between the value of t
86 stic = 0.78, 95% CI, 0.76-0.79).Conclusions:
We derived a group-based trajectory model for FVC progre
87 based on FVC trajectories over time.Methods:
We derived a group-based trajectory model from a single-
88 We derived a high-confidence network of 295 target relat
89 Once we identified the studies,
we derived a HIM and used each study's concentration-res
90 We derived a mathematical model that combines material b
91 We derived a model for infection clearance with inputs b
92 We derived a mouse model in which a mutant form of Nbn/N
93 ual areas as they vary from monkey to mouse,
we derived a network growth model to explore if characte
94 We derived a new classifier, Adjuvant Radiotherapy Inten
95 In this study,
we derived a non-centrality parameter for the Wald test
96 To address this challenge,
we derived a novel form of the logistic growth equation
97 We derived a novel panel from the National Marrow Donor
98 From the simulation results,
we derived a phenomenological relation between the aspec
99 site structural information of Kgp and RgpB,
we derived a plausible homology model and mechanism of K
100 We derived a prediction score using risk factors for VRE
101 We derived a risk model using the first half of the coho
102 enhancing ACTR helicity accelerates binding,
we derived a series of topology-based coarse-grained mod
103 We derived a set of new temperature response functions t
104 We derived a structural model of WDR26 and note that mis
105 We derived a tissue-scale, patient-specific mechanically
106 a analyses as well as mathematical modeling,
we derived a tumorigenic index (TI) to quantify tumorige
107 onments, and differing reward contingencies,
we derived a unified probabilistic model of CA1 represen
108 We derived ADHD PRS for 13,457 children aged 9 or 12 fro
109 Based on the analysis of 1.2 million samples
we derived age and sex stratified CMV prevalence statist
110 We derive an allometry from TLS that spans a much greate
111 data along with the estimated surface areas,
we derive an amino-acid propensity scale that enables pr
112 We derive an analytical expression for the time-dependen
113 Here,
we derive an analytical form for the noise ceiling that
114 We derive an analytical function based on the elastic-vi
115 We derive an approximation to gradient-based learning th
116 We derive an efficient algorithm to compute the weighted
117 We derive an efficient coding framework assuming that ne
118 We derive an efficient description of the dynamics in te
119 d for stochastic model reduction, from which
we derive an efficient hybrid simulation scheme.
120 We derive an efficient optimization algorithm whose conv
121 Further,
we derive an empirical linear correlation between the ex
122 g the RAD18 domains required to promote HDR,
we derive an enhanced RAD18 variant (e18) that stimulate
123 Particularly,
we derive an equivalent model subject to a sum-to-zero c
124 We derive an exact analytical solution for both the spat
125 Here,
we derive an exact expression for the local thermal ener
126 We derive an Expectation-Maximization procedure with clo
127 Here
we derive an expression for the second order conductivit
128 Here,
we derive an in vivo model of Cryptosporidium infection
129 We derive an intuitive formula that approximates the pro
130 We derived an assay cutoff with 76% sensitivity and 94%
131 We derived an electronic definition of antibiotic de-esc
132 We derived an estimated CNS from a linear regression mod
133 We derived an estimated measure of stroke severity using
134 We derive analytic broadband pi/2 and pi pulses that per
135 We derive analytic solutions for both subshear cracks an
136 Here
we derive analytical predictions for when and why non-ne
137 We derive analytical predictions which can be generalise
138 We derive analytical results for time-dependent probabil
139 Here
we derive and analyze a coupled reaction diffusion model
140 We derive and prove computational complexities for sever
141 Instead,
we derive and solve the systems of ordinary differential
142 Here
we derive and test a framework that harnesses the well-k
143 Here
we derive and validate a method to rigorously estimate t
144 Here
we derive and validate a new polygenic predictor compris
145 We derive and validate a novel and analytic method for e
146 In this paper,
we derived and compared different approaches to generati
147 We derived and internally validated a score that accurat
148 From these data,
we derived and validated a characteristic decoding map t
149 We derived and validated a prediction model for ischemic
150 Based on these observations,
we derived and validated a set of phosphorylation codes
151 Furthermore,
we derived and validated nine additional DNA shape featu
152 We derived approximate expressions for the half-times of
153 We derive average biomass trends and associated uncertai
154 We derived average values of (18)F-FMISO kinetic paramet
155 measurement error from dietary self-reports.
We derived biomarker-calibrated dietary energy and prote
156 Second,
we derived bNMF clusters of maternal variants on the bas
157 xploiting an exact diagonalisation approach,
we derive both analytical and numerical results for the
158 In this work,
we derive chemical rules, based on atomic distances and
159 We derive closed-form equations that describe the dynami
160 We derived cohort characteristics (mean age 58 years, 63
161 We derived community TPL exponents from a long-term, sta
162 gression at a resolution of 100 x 100 m, and
we derived concentration-response functions from relativ
163 We derived conclusions regarding the rate of Rb(+) deocc
164 n this work, based on the balance of forces,
we derive conditions for a drop to self-transport toward
165 Comparing the treatments head to head
we derive conditions for choosing optimal therapy.
166 We derive conditions for this sweet spot for a broad cla
167 We derive conditions that proteins need to meet to be ab
168 Using a coupled shear-rupture model,
we derived constraints on the hydromechanical parameters
169 We derive control policies for the UK that minimise the
170 Moreover,
we derive cortico-striatal assembloids from patients wit
171 We derived criteria to stabilize the melt pool dynamics
172 We derive CSTs from multivariate canopy structure data,
173 We derive curves relating magnetic thermal and temporal
174 r one week during the school year from which
we derived daily minutes in sedentary and moderate-to-vi
175 We derived data from a previously published global syste
176 yer and components of the spin-orbit torque,
we derive design rules that lead to deeply scalable spin
177 Here,
we derived dietary patterns by principal component analy
178 For arbitrary trade-offs,
we derive different conditions that guarantee either at
179 Conversely,
we derive dry conditions in northern Chile related to re
180 We derive EM algorithms to estimate parameters of these
181 We derive emissions factors from AMLD emission rate esti
182 In our present study,
we derive empirical variations of D as a function of mol
183 t consideration of their dissociation rates,
we derive energy distributions with maxima at 2.06 +/- 0
184 We derive entropy, interaction information and mutual in
185 From the algorithmic perspective
we derive entropy-driven greedy and message-passing algo
186 statistical physics and information theory,
we derive epigenetic energy landscapes from whole-genome
187 We derived equations describing mutual relationships amo
188 land, Eifel (Germany) and Yellowstone (USA),
we derive estimates of mantle delta(15)N (the fractional
189 he genotype-derived PHS for each individual,
we derived estimates of instantaneous risk for developin
190 We derived Euclidean Norm Minus One g (ENMO), Low-pass f
191 We derive exact posterior prediction distributions for i
192 We derive extinction probabilities for each virus indivi
193 Here
we derive F(ST) values from multi-locus coalescent isola
194 The gene-level 2-sided thresholds
we derived for REVEL or BayesDel can be used to assess i
195 We derived,
for the first time, high-resolution (1 km x
196 We derive four laws relating the absorptivity and emissi
197 Utilizing this model,
we derive four neurophysiological parameters related to
198 ons, n = 4444 on four occasions), from which
we derived four measures of depressive symptomatology: c
199 Finally,
we derive from these measurements a scalar index providi
200 epigenetic hybrid plants (epiHybrids), which
we derived from near-isogenic but epigenetically diverge
201 Here,
we derive,
from basic principles, general stoichiometric
202 Here,
we derive fundamental limits to the precision of morphog
203 We derive gas-phase thermodynamic parameters for discern
204 lection study for autism spectrum disorders,
we derive genome-wide significance thresholds for whole
205 We derived geospatial coordinates, functionality, and se
206 We derive here normative reference values for AEX, based
207 For the years 1983-2017,
we derived hourly climate data and assigned each hour as
208 We derived human induced pluripotent stem cell (hiPSC)-R
209 From these responses
we derived Hyperalignment transformation parameters that
210 We derive inference procedures to estimate model paramet
211 We derived input parameters from Global TravEpiNet data
212 On the basis of these results,
we derived interaction geometries to improve current com
213 We derived intestinal organoids from wild-type mice and
214 From this foetus,
we derived iPSCs and show that differentiation of these
215 In conclusion,
we derive key questions from this review that challenge
216 dely distributed focal cortical impairments,
we derive lesion-deficit maps of a broad range of psycho
217 In addition,
we derive limits on six combinations of previously uncon
218 We derive limits on solutions to the problem, present me
219 priors for genotype and allele frequencies,
we derive marginal likelihoods for all scenarios, and se
220 We derived measures of grey matter degeneration in a pri
221 Here,
we derive microbiome-level properties by applying an emb
222 We derived MRI-based biomarkers of cerebrovascular patho
223 We derive new connectivity models using random walk theo
224 ical deterioration or 28-day mortality, thus
we derived new stratification models using the PERSEVERE
225 Here
we derive next-to-leading order e-ph interactions, and c
226 To circumvent this limitation,
we derived normal and DNMT3A mutant lymphoblastoid cell
227 Using TCGA datasets,
we derived novel patient-level metrics of 'NMD burden' a
228 ical calculations and numerical simulations,
we derive optimal operational regimes for BBCIs, and for
229 We derive optimal profiles under 2 different regularizat
230 totrophs, and light filtered under seawater,
we derived optimal absorption characteristics for effici
231 Here,
we derive organoids resembling the cerebral cortex or th
232 We derived organoids from the tumors and tested their re
233 We derive our DNN from asystems biology model that was n
234 Lastly,
we derive our model as an online algorithm to maximum li
235 Further,
we derive phenomenological and atomistic theories that d
236 We derived polygenic risk scores (PRSs) with ~6M variant
237 We derived pooled estimates using inverse-variance rando
238 Here
we derive predictions from a computational model of late
239 In this study,
we derive predictions from three prominent accounts of d
240 We derived primary bone marrow macrophages lacking Arp2/
241 Here,
we derive probability bounds that are based on the compl
242 s left ventricular ejection fraction >/=40%,
we derived propensity scores for nitrate use using 52 ba
243 Here
we derived PSCs from distinct mouse strains under naive
244 th factor beta (TGF-beta), and WNT pathways,
we derived PSCs from mice, horses, and humans (designate
245 We derive quantitative formulas describing how the rates
246 Using these data,
we derive quantitative models for RISC binding and targe
247 For each child,
we derived quantitative index of microbial exposure (bac
248 et oxygen than the oxidized form, from which
we derive reaction mechanisms supported by density funct
249 We derived regional numbers of people living with increa
250 By means of a perturbative field theory,
we derive relevant observables in closed form.
251 We derive reporter strains to follow parasite developmen
252 ene knockdown mutants in an arrayed library,
we derive robust, quantitative descriptions of bacillary
253 We derived robust models explaining ~58% (R(2) range, 0.
254 rs and 110 healthy breast tissues from TCGA,
we derive sample-specific protein interaction networks a
255 s were assessed using different instruments,
we derived separate dimensional alcohol misuse scales an
256 Under these conditions,
we derive several pluripotent stem cell lines that expre
257 Using parental investment theory,
we derived several predictions about what might trigger
258 We derived signatures for 191 distinct cell populations
259 Here,
we derive simple equations based on chemical kinetic pri
260 rule for genuine partially coherent sources,
we derive source plane expressions for the cross-spectra
261 We derive source rates from the time-averaged plumes usi
262 We derive statistical predictions, which indicate that c
263 sing minimal exposure to specification cues,
we derive stem cells from formative mouse epiblast.
264 Recently,
we derived stem cells with blastomere-like features from
265 Here,
we derive such a rule for learning a near-optimal linear
266 Using this framework,
we derive the 'persistence potential': a general, heuris
267 Starting from the Kubo formula,
we derive the analytical expressions for the DCMC for tw
268 We derive the dependency of wintertime runoff on this wa
269 ity when storing sparse phasor patterns, and
we derive the energy function that governs its fixed-poi
270 sequencing approaches, Illumina and PacBio,
we derive the entire Dscam gene from an M2 assembly of t
271 We derive the expected model for the effect of tolerance
272 We derive the first long-term in situ effective diffusio
273 functional theory and excited state methods,
we derive the molecular origins of the spectral modulati
274 Here
we derive the normative policy for general multi-alterna
275 We derive the optimal gradient for separating the landin
276 Based on this survey instrument,
we derive the perceived relationship between the income
277 DDLT rates across 49 DSAs and 102 programs,
we derived the DSA-level median incidence rate ratio (MI
278 We derived the equilibrium binding constants between DNA
279 We derived the estimated stroke severity in 41 481 patie
280 Then
we derived the full reaction path of the HB process for
281 Here
we derived the GPP/SIF ratio from multiple data sources
282 Finally,
we derived the regional and national numbers of people w
283 To test this hypothesis,
we derived the relationship between the Hill coefficient
284 We derived the scaling laws for the elastic force and th
285 We derived the summaries from a Windkessel model (consis
286 Using a multiple linear regression model,
we derived the time interval to detect an estimated 3.9
287 nd glucose level, and from these predictors,
we derived the weighted TICI-ASPECTS-glucose (TAG) score
288 In this study,
we derived thermal affinities for European Atlantic rock
289 We derive this consensus from the clustering of subject-
290 We derive this equation directly from magnetoencephalogr
291 We derive this inequality for generic quantum systems at
292 Here,
we derive this network empirically based on lesion locat
293 We derive this result from high-magnetic-field transport
294 To demonstrate our technique,
we derive three imaging algorithms, modelled after three
295 We derive three independent comparable estimates from CO
296 Working with a simple spiking network model,
we derive three main findings.
297 Additionally,
we derive three other design principles for enhancing SH
298 We derived threshold effect concentrations from such a c
299 We derive thresholds for which de-differentiation is exp
300 In this work
we derive,
to our knowledge, a new 1D mathematical model