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1 nce and commonality) and signal persistence (volatility).
2 ly solely on thermodynamic properties (e.g., volatility).
3 and changes in these associations over time (volatility).
4  yield variability (i.e., increasing revenue volatility).
5 ss-making enterprises, exhibiting high stock volatility.
6  depletion of lithophile elements of similar volatility.
7 speech recalibration classically ignore this volatility.
8 ses, more rapidly than methods based on past volatility.
9 n structure and future changes in the market volatility.
10 nic molecules which comprise a wide range of volatility.
11  and hydrophilic nature as well as their low volatility.
12 rates correlate with increased environmental volatility.
13  SOA types and indicative of a low effective volatility.
14 ive learning task manipulating environmental volatility.
15 e composition of SOA when assessing particle volatility.
16 t living donation during periods of economic volatility.
17 tal fluctuations, trade policies, and market volatility.
18 have as "multiple hoppers" due to their high volatility.
19 hnetium-99 (Tc) is of concern because of its volatility.
20 erties, for example, by suppressing particle volatility.
21 ders plastic markets vulnerable to oil price volatility.
22 o the level of environmental uncertainty and volatility.
23 mbers from a process with varying degrees of volatility.
24  of high energy efficiency combined with non-volatility.
25 haracterising a person's prior beliefs about volatility.
26 earning rate) as a function of environmental volatility.
27 temperature, droplet size range, and analyte volatility.
28 t inferences humans make about environmental volatility.
29 verse families of POPs, independent of their volatility.
30  or net volatilization depending on chemical volatility.
31 h ensured that the elements were not lost by volatility.
32 pounds present in honey with a wide range of volatilities.
33  high number of compounds with wide range of volatilities.
34 ) especially for the compounds having higher volatilities.
35 nts), again attributed to the higher product volatilities.
36 anoia is associated with a stronger prior on volatility, accompanied by elevated sensitivity to perce
37 er for learning observations, the VKF learns volatility according to a second error-correcting rule.
38 ply DPH via sublimation coupled with its low volatility allows us to perform tissue imaging of the ab
39 n online, in situ analysis technique for low volatility analytes.
40 in whole milk powder encompassing a range of volatilities and chemical classes.
41 f ternary mixtures of liquids with different volatilities and mutual solubilities has not yet been ex
42  fluid dynamics as measured by (1) early RFI volatility and (2) cumulative RFI instability with aggre
43 efficients followed expected trends based on volatility and aqueous solubility.
44                              We focus on the volatility and composition of isoprene derived organic a
45 eduction during diabetes aggravates glycemic volatility and contributes to the pathophysiology of thi
46 t with no crises; high output with increased volatility and deep, short-lived recessions; and alterna
47 ective defect passivating agents, their high volatility and diffusivity cannot render perovskite film
48  a cohort of relatively young adults, income volatility and drops during a 15-year period of formativ
49 ed data, this may be a consequence of strong volatility and evaporation of limonene increasing with t
50 ieving the contradictory requirements of non-volatility and fast, low-voltage (low-energy) switching
51 d near-source deposition, due to their lower volatility and greater association with depositing parti
52 certainty (or imprecision) is referred to as volatility and has previously been linked to noradrenerg
53 ng, detection and quantification of this low volatility and high molecular weight compound.
54 es, reduced costs, non-flammability, reduced volatility and improved environmental compatibility coul
55 f accretionary processes owing to their high volatility and incompatibility, but have low abundances
56                          Thus, aging reduces volatility and increases homogeneity of the vapor pressu
57 racting beneficial insects, problems of high volatility and instability are overcome and compounds ar
58                                              Volatility and instability are problems for deployment i
59                                          The volatility and limited water solubility of linalool is a
60 mass spectrometry due to the relatively high volatility and low surface tension of most organic solve
61                      By utilizing the online volatility and molecular composition information provide
62  of gas-phase organic compounds that vary in volatility and molecular structure-factors that influenc
63 avioral, and CVD risk factors, higher income volatility and more income drops were associated with gr
64                                          The volatility and oxidation state of isoprene SOA are sensi
65  of vapors to walls as a function of species volatility and particle condensational sink.
66  Volatility drove the VOC release in SC, and volatility and polarity for IC.
67 ree fatty acids, whereas compounds with high volatility and polarity were only detected by SPME.
68                          However, their high volatility and powerful aroma limit their application in
69  these ionic defects but usually suffer from volatility and precipitation issues, respectively.
70 alities: activity, leaky integrate-and-fire, volatility and rate coding.
71               Molecular markers adjusted for volatility and reactivity were used to calculate PM(0.1)
72  volatile seaborgium complex showed the same volatility and reactivity with a silicon dioxide surface
73  modified molecular markers that account for volatility and reactivity.
74 e comprehensively characterized intermediate volatility and semivolatile organic compound emissions u
75 OA (COA), biomass burning OA (BBOA), and low volatility and semivolatile oxygenated OA (LV-OOA and SV
76  important source of atmospheric Hg, but the volatility and solid-gas phase partitioning of Hg(0) wit
77                               Now, financial volatility and subsequent dissolutions of in-house facil
78      Complexes 1 and 2, with their excellent volatility and thermal stability (up to at least 350 deg
79 ons between 1980 and 2010, with variation in volatility and trends.
80  correlation structure and future changes in volatility and we demonstrate they can anticipate market
81                  We designate this property "volatility" and apply it to model evolution of features
82 mposition of biodiesel fuel on the physical (volatility) and chemical (reactive oxygenated species co
83 tive estimates of uncertainty (environmental volatility) and implicate a role for the subthalamic nuc
84 nds was found to be strongly correlated with volatility, and a semiempirical formula between glass tr
85 food commodities is much limited due to high volatility, and increased susceptibility to oxidation.
86                 The dependence of SOA yield, volatility, and oxidation state on the NOx level likely
87 se features with their low fabrication cost, volatility, and stability, make these materials very att
88 earch, including representativeness, biases, volatility, and validation, and the need for robust stat
89 timates are perceived as unstable over time (volatility), anxiety constrains adaptive behavioral chan
90 dinate complexes showed unprecedentedly high volatility as compared to the widely employed and commer
91 rowth experiments and the effective particle volatility as probed in evaporation experiments.
92 -based molecules, generally related by their volatility at ambient temperature.
93 s exhibited 1.8 million years of exceptional volatility before a more stable equilibrium-state commun
94                  This work characterizes the volatility behavior of the glyoxal precursor/product mix
95 ity (lack of concomitant radionuclides), and volatility between 700 and 1,000 degrees C, thus suggest
96 ucture in a water-free solvent, namely a low-volatility biocompatible deep-eutectic solvent composed
97 , average carbon oxidation state (OS C), and volatility (C*).
98 ulas are taken into account, formula-derived volatilities can be reconciled with the thermogram metho
99 l challenge due its high hydrophilicity, low volatility, charge neutrality over a wide pH range, and
100 ith the appropriate process modeling for low-volatility chemicals are warranted.
101 en shown to overestimate the fraction of low-volatility chemicals in the particle phase.
102 rize its potential in direct analysis of low-volatility chemicals on surfaces.
103  in cometary nuclei, but because of its high volatility, CO2 ice is generally only found beneath the
104 mixed experiments can be of similar or lower volatility compared to that formed in HO2-dominant exper
105 apable of high-temperature operation for low-volatility-compound analysis.
106 ration measurements of VOCs and intermediate-volatility compounds of up to 14 carbon atoms in a fully
107  critical orifice reduces wall losses of low volatility compounds.
108 ctures because conventional power, speed and volatility considerations for microelectronics may no lo
109 hthalate diesters and siloxanes suggest that volatility-dependent partitioning processes modulate air
110 tients, we show that time series models with volatility described by a multivariate stochastic latent
111  we consider several models of environmental volatility described by continuous-time stochastic proce
112                                 However, the volatility, design complexity and high supply voltages f
113 ions in the magnitude of emissions, the IVOC volatility distribution and chemical characteristics wer
114  different volatility distributions: one low-volatility distribution and one medium-volatility distri
115                                     A single volatility distribution can explain the median evaporati
116                                          The volatility distribution estimated from partitioning meas
117 nal variations, which indicate that a single volatility distribution is adequate to describe the gas-
118           These results suggest that the POA volatility distribution measured in the dynamometer stud
119                                      The POA volatility distribution measured in the tunnel does not
120 lts provide strong constraints on the likely volatility distribution of isoprene oxidation products u
121                             Furthermore, the volatility distribution of these vapors is sufficient to
122 ion of <0.3 mug m(-3)) in the TD-derived SOA volatility distribution.
123 e low-volatility distribution and one medium-volatility distribution.
124 fraction remaining) and the steepness of the volatility distribution.
125                                     Particle volatility distributions are estimated using three diffe
126       However, there is a disconnect between volatility distributions as typically derived from secon
127                                          The volatility distributions from the thermogram method are
128 s questions regarding the use of traditional volatility distributions in the simulation and predictio
129 easured in the traffic tunnel are similar to volatility distributions measured in the dynamometer stu
130 unnel and dynamometer studies and found that volatility distributions measured in the traffic tunnel
131                                          The volatility distributions were parametrized using a sigmo
132  types of POA that have distinctly different volatility distributions: one low-volatility distributio
133  by a reinforcement learner with a flexible, volatility-driven learning rate.
134                                              Volatility drove the VOC release in SC, and volatility a
135                We observed differential NORM volatility during combustion that results in (210)Pb enr
136 le to capture the full range of measured POA volatility during thermodenuder (TD) experiments conduct
137 ample is very important, with powders of all volatilities effectively analyzed.
138 bution down to nanometer scale (1.2-414 nm), volatility, electric charge, morphology, and elemental c
139  organic aerosol (OA) aging and intermediate-volatility emissions on regional-scale OA pollution with
140       We find that OA aging and intermediate-volatility emissions together increase OA and SOA concen
141                         In addition, its non-volatility enables ultralow standby power, which is crit
142 es reveal important interactions between low-volatility environmental toxins and microplastics and ho
143 priate for the desorption of analytes with a volatility equal to or lesser than benzene when employed
144                             Beyond learning, volatility estimates also affected the trial-by-trial va
145  the changing intentions of others, (ii) use volatility estimates to inform decision-making in social
146                                 We show that volatility features derived from our model can reliably
147 t lead to inaccurate results when estimating volatilities from observed ion formulas found in SOA.
148                                    Estimated volatilities from the detected elemental formulas are mu
149  study was to examine associations of income volatility from 1990 to 2005 with incident CVD and all-c
150 cal system produces a very fast burst of low-volatility gas-phase products, which are competitively t
151 nd the molecular composition of semi- to low-volatility gases and SOA were measured online.
152 sults also demonstrate that world-wide yield volatility has become more common in the current most de
153 19) and all-cause mortality (high versus low volatility: hazard ratio, 1.78; 95% CI,1.03-3.09; >=2 ve
154 iated with greater CVD risk (high versus low volatility: hazard ratio, 2.07; 95% CI, 1.10-3.90; >=2 v
155 attracts extensive attentions due to its non-volatility, high density and low power consumption.
156 zonolysis of HXL results in formation of low volatility, higher molecular weight compounds, such as o
157  tropospheric autoxidation that can form low-volatility, highly oxygenated organic aerosol precursors
158                           For reference, the volatility, i.e. saturation vapor pressure and vaporizat
159 ining analytes with different polarities and volatilities in different phases at atmospheric pressure
160 anisms underlying responses to environmental volatility in ASD.
161 -optical analysis, and grouped them based on volatility in decreasing order (OC1, OC2, OC3, OC4, and
162 news is highly correlated with and driven by volatility in financial markets.
163 ity of recruitment dynamics and minimize the volatility in fishery catches.
164                     There has been increased volatility in funding support in recent years possibly d
165 ficiency in treatment effect estimation, (3) volatility in sample-size distributions that can cause a
166                                The effect of volatility in tasks where sensory cues were associated w
167     Motivated by the widely accepted role of volatility in the emergence of persistence, we consider
168 d that in ASD, a tendency to overlearn about volatility in the face of environmental change drives a
169 at this regression results from an intrinsic volatility in these memories, resulting in an inevitable
170 lot machine's winning probability to change (volatility), increased subsequent to DBS.
171                 alpha appears to decrease as volatility increases.
172 amount of uncertainty, in the form of market volatility, increases.
173  the index can be used as a financial market volatility indicator.
174                                        Using volatility indices measured from a small number of patie
175                                   Due to its volatility, indole was not measurable in either group.
176 uch as precision modulation and hierarchical volatility inference.
177                                  The implied volatility inferred from our process positively correlat
178                   Additionally, the level of volatility influenced relative weighting of certain and
179 state memory, the existence of rate-limiting volatility is a key feature for capturing short-term syn
180                                       Income volatility is on the rise and presents a growing public
181                                          Its volatility is one reason why many cross-metathesis or ri
182 e the deposition/desorption behaviors of low-volatility lake ecosystem toxins on microplastics in sit
183 bon oxidation state, OS(C) < -0.5) with high volatility (log(10) C* > 7) and low carbon number (n(C)
184 in food preservation is hampered by its high volatility, low solubility in water, and susceptibility
185  address whether synergistic variability and volatility (major departure from the normal) of multi-na
186                          Using a contingency volatility manipulation, we tested the hypothesis that d
187 genic oxidation products may be bound in low-volatility mass (e.g., accretion products, inorganic-org
188  total of 20-40% of SOA mass consists of low-volatility material (saturation concentration of <0.3 mu
189 ficant particle phase processing forming low-volatility material such as organic salts.
190                The quest for solid state non-volatility memory devices on silicon with high storage d
191 merging priority chemicals with semi- to low-volatility must consider particle phase heterogeneous lo
192                                              Volatilities of different features are highly correlated
193                                              Volatilities of features also correlate highly with thei
194 recursors, which is likely due to the higher volatilities of the products from the RO(2) + NO pathway
195 effectiveness of polyphenols in reducing the volatility of 4-ethylphenols could be limited by the pre
196 l, wine polyphenols and yeast extract on the volatility of 4-ethylphenols in red wines.
197 , a direct influence of yeast extract on the volatility of 4-ethylphenols was not observed, although
198                      High hydrophobicity and volatility of chemicals often lead to substantial experi
199 argets and has the potential to decrease the volatility of climate policy.
200 netic resonance imaging, we demonstrate that volatility of control demand is estimated by the anterio
201                                          The volatility of creatinine was enhanced by a rapid on-prob
202                        The high toxicity and volatility of HCN requires both chemical stabilization f
203  metal based anode is challenging due to the volatility of lithium.
204  overarching concern is the recurrent social volatility of metaphorical populist themes that are cent
205                           The relatively low volatility of n-dodecane facilitates variable-temperatur
206                                 Thereby, the volatility of optoelectronic state can be controlled sim
207 diesel, were tested and compared in terms of volatility of particles and the amount of reactive oxyge
208 etabolic stability of pharmaceuticals or the volatility of perfumes.
209 chnique relies on the solubility rather than volatility of precursors which vastly extends the range
210                                    While the volatility of SOA in mixed experiments does not change s
211 xamine the extent to which the low effective volatility of SOA is a general phenomenon or specific to
212                                      The non-volatility of such perpendicular voltage controlled magn
213 iated by the large dipole moment and the low volatility of sulfolane.
214 easonal adaptation for managing the weakened volatility of summer roses.
215                                      The low volatility of THC and its oxidation products suggest tha
216 ierarchical learning: they inferred upon the volatility of the advisers' intentions in order to optim
217 ol) to 174 ng (2-pentanone) depending on the volatility of the chemicals and the affinity to the citr
218                                          The volatility of the compounds comprising organic aerosol (
219 as-particle equilibrium as a function of the volatility of the condensing species, its surface accomm
220 updating of their outcome predictions to the volatility of the current environment, as predicted by a
221 o adapt their learning rate according to the volatility of the environment.
222  develop a behavioral analysis of the social volatility of the recurrent populist movement in America
223                    The effects of NOx on the volatility of the secondary organic aerosol (SOA) formed
224  of the inter-particle interactions, the low volatility of the solvents, and the capacity to simultan
225 was manipulated independently by varying the volatility of their occurrence.
226 e that concurrent variability and world-wide volatility of wheat yields can potentially be predicted,
227 d the phasic effects of prediction error and volatility on pupil size, consistent with slower belief
228 logistic regression predictors based on past volatility only.
229                                      The low-volatility OOA (LV-OOA) fraction of BB had a similar cor
230 enated organic aerosol (SV-OOA) and then low-volatility organic aerosol (LV-OOA) at higher OH exposur
231 e conducted to characterize the intermediate volatility organic compound (IVOC) emissions from a flee
232 tribute a large fraction of the intermediate volatility organic compound (IVOC) emissions in gasoline
233 or most on-road vehicles, is an intermediate volatility organic compound (IVOC) with a high Henry's l
234 e investigate the formation of extremely low volatility organic compounds (ELVOC) from O3 and OH radi
235 organic nitrates are among the extremely low volatility organic compounds (ELVOC) that may play an im
236 onsistent with condensation of extremely low-volatility organic compounds (ELVOCs) that have been det
237 ens and would be classified as extremely low volatility organic compounds (ELVOCs).
238                    Emissions of intermediate-volatility organic compounds (IVOCs) from five on-road d
239                                 Intermediate-volatility organic compounds (IVOCs) have been proposed
240 equires the characterization of intermediate-volatility organic compounds (IVOCs), relatively-low-vap
241 l (POA), and photo-oxidation of intermediate volatility organic compounds (IVOCs).
242                                Gas-phase low volatility organic compounds (LVOC), produced from oxida
243                                 Intermediate volatility organic compounds could be responsible for th
244  of SOA and contributions from extremely low volatility organic compounds formed during alpha-pinene
245                         The magnitude of low-volatility organic material formation at an atmospherica
246     Although recent studies predict that low-volatility organic vapours contribute during initial gro
247 evaporation and atmospheric oxidation of low-volatility organic vapours from the mined oil sands mate
248 s of the in-cylinder soot and associated low volatility organics change dramatically from the soot fo
249 mposition of accretion products or other low volatility organics having effective saturation vapor co
250  is demonstrated here in which semi- and low-volatility oxidized organic compounds (saturation concen
251 tion state are discussed and compared to low volatility oxygenated organic aerosol (LVOOA), which has
252                                          The volatility parameters thus determined suggest that SOA y
253                                 Carbon cycle volatility persists for approximately 500 ka before a re
254         Extreme toxicity, corrosiveness, and volatility pose serious challenges for the safe storage
255 ensitivity of the pupil dilatory response to volatility, potentially indicative of altered norepineph
256 in and cinnamaldehyde and neutralizing their volatility, producing well-adhered coatings that enhance
257 organic compound (VOC), resulting in a lower volatility product in the particle phase.
258  we find that to explain the behavior of low-volatility products and SOA mass yields relative to inpu
259 ed by (3)C* and OH reactions, which form low volatility products at a rate that is approximately half
260 hat the SOA is dominated by sufficiently low volatility products for which a change in their partitio
261        These effects reduce the yield of low-volatility products that would otherwise form secondary
262 rovide a mechanism by which volatile and low-volatility radionuclides such as U can reach the environ
263 ranched C7 -C10 hydrocarbons in the gasoline volatility range.
264  and/or total observed mass within specified volatility ranges.
265 ude regarding fundamental properties such as volatility, reactivity, and propensity to form cloud dro
266                                   Increasing volatility reduces how many past trials influence behavi
267 ed to impoverished adjustment of learning to volatility regardless of whether outcomes involved rewar
268 that drive initial growth have extremely low volatilities (saturation concentration less than 10(-4.5
269  abundant organic vapours of slightly higher volatility (saturation concentrations of 10(-4.5) to 10(
270 moke particles are quantitatively similar in volatility, shape, density and number concentration, alb
271 mpetitive asymmetries (frequency dependence, volatility smiles, etc) to improve forecasting and manag
272 te that rapidly oxidizes phenols to form low-volatility SOA.
273  impact viscosity, density, surface tension, volatility, solubility, chemical reactivity, and many ot
274 t simultaneous measurement of condensing low volatility species from isoprene oxidation in both the g
275 e, with values near unity especially for low volatility species.
276 ing resolving challenging isomers of similar volatility, such as ethylbenzene and m/ p-xylene.
277 better results for volatile compounds of low volatility, such as medium and long-chain free fatty aci
278 oxy-sulfonated-PCBs, they possess negligible volatility, supporting the case for in situ formation fr
279 nce on a probabilistic decision-making under volatility task using a hierarchical Bayesian framework.
280 sol mass, the IEPOX-derived SOA has a higher volatility than the remaining bulk.
281 els that included Bayes optimal estimates of volatility than those without.
282                           Depending on their volatility, they can be involved in new particle formati
283                     We calculated microbiota volatility to quantify rapid shifts and developed a new
284         We further demonstrate how these low-volatility vapours can enhance, or even dominate, the fo
285  formation of large amounts of extremely low-volatility vapours.
286 ies to silicon has delivered the desired non-volatility via charge-effects and giant magneto-resistan
287 onoterpene oxidation, in which extremely low volatility VOC (ELVOC) constitute the organic aerosol, i
288                                       Income volatility was defined as the intraindividual SD of the
289 la between glass transition temperatures and volatility was derived.
290 number concentration, size distribution, and volatility were determined both at laboratory and on-roa
291          Finally, estimates of environmental volatility were predicted by baseline cardiac measures i
292 tive estimates of uncertainty (specifically, volatility) were related to differences in pre- and post
293                                    Early RFI volatility with a central macular RFI increase by >=5 po
294  that track the evolution of organic aerosol volatility with age.
295 interval [CI] 3.0 to 329) and cumulative RFI volatility with an aggregate increase in macular RFI by
296 in time, the association of long-term income volatility with incident cardiovascular disease (CVD) an
297 e to hydrophobic chemicals of relatively low volatility (with an octanol-air partition coefficient K(
298 nhance performance stability against weather volatility without compromising animal growth.
299 s the potential to increase price levels and volatility, worsening food insecurity among the most vul
300 rder to determine whether contingency change volatility would play a role in shifting subjects betwee

 
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