33 research outputs found
sj-docx-1-pom-10.1177_03057356241238004 – Supplemental material for Charity begins with prosocial music: Musical differences in intertemporal prosocial discounting and generosity
Supplemental material, sj-docx-1-pom-10.1177_03057356241238004 for Charity begins with prosocial music: Musical differences in intertemporal prosocial discounting and generosity by Mei Hong, Dapeng Liang and Teng Lu in Psychology of Music</p
The evolutionary rates and tMRCAs estimated for the 1a and 1b datasets in nine genomic regions and over ORF by root-to-tip regression.
¶<p>In the calendar year. <b>*</b> The evolutionary rate is negative and tMRCA locates in the future.</p
The median evolutionary rates and the tMRCAs estimated in the nine genomic regions and over the entire ORF of the subtype 1a and 1b datasets.
<p>Panels A, B, and C show the median evolutionary rates. Panels D, E, and F show the median tMRCAs. The blue columns represent the estimates for 1a. The red columns represent the estimates for 1b. The dash lines indicate the estimates for the entire ORF.</p
The Evolutionary Rates of HCV Estimated with Subtype 1a and 1b Sequences over the ORF Length and in Different Genomic Regions
<div><p>Background</p><p>Considerable progress has been made in the HCV evolutionary analysis, since the software BEAST was released. However, prior information, especially the prior evolutionary rate, which plays a critical role in BEAST analysis, is always difficult to ascertain due to various uncertainties. Providing a proper prior HCV evolutionary rate is thus of great importance.</p><p>Methods/Results</p><p>176 full-length sequences of HCV subtype 1a and 144 of 1b were assembled by taking into consideration the balance of the sampling dates and the even dispersion in phylogenetic trees. According to the HCV genomic organization and biological functions, each dataset was partitioned into nine genomic regions and two routinely amplified regions. A uniform prior rate was applied to the BEAST analysis for each region and also the entire ORF. All the obtained posterior rates for 1a are of a magnitude of 10<sup>−3</sup> substitutions/site/year and in a bell-shaped distribution. Significantly lower rates were estimated for 1b and some of the rate distribution curves resulted in a one-sided truncation, particularly under the exponential model. This indicates that some of the rates for subtype 1b are less accurate, so they were adjusted by including more sequences to improve the temporal structure.</p><p>Conclusion</p><p>Among the various HCV subtypes and genomic regions, the evolutionary patterns are dissimilar. Therefore, an applied estimation of the HCV epidemic history requires the proper selection of the rate priors, which should match the actual dataset so that they can fit for the subtype, the genomic region and even the length. By referencing the findings here, future evolutionary analysis of the HCV subtype 1a and 1b datasets may become more accurate and hence prove useful for tracing their patterns.</p></div
Root-to-tip regression to estimate the tMRCAs and clock rates.
<p>A simple linear regression of the root-to-tip genentic distances against the sampling dates was performed using the Path-o-gen software. The root was determined by maximizing the coefficent of determinant R<sup>2</sup>. The vertical axis measures the genetic distances between the samples and the root while the horizontal axis scales the sampling dates (year). For subtype 1a (A), the mean evolutionary rate (the slope of regression line) is 9.05E-4 substitution/site/year and the tMRCA (the X-intercept) is located at 1941. For subtype 1b (B), the mean evolutionary rate is 4.82E-4 and the tMRCA is located at 1808.</p
The violin plots of the posterior evolutionary rate estimated using the uniform (0, 0.01) rate prior in the nine genomic regions and over the entire ORF of the subtype 1a (A panel) and 1b (B panel) datasets.
<p>Combined with the GTR+I+Γ substitution model and Bayesian skyline coalesent model, the MCMC procedures were run under three clock models, exoponetial, lognormal, and strict, respectively, using BEAST. The vertical axis measures the substitution rate multiplied by 10<sup>−3</sup> (substitution/site/year). The horizontal axis indicates the nine genomic regions and the entire ORF. The left three panels show the results for the 1a dataset. The right three panels show the results for the 1b dataset. In each panel, two violins are separated in a small case on the right, which indicate the rates estimated for the routinely amplified partial Core-E1 (P-C/E1) and partial NS5B (P-NS5B) regions.</p
Enhanced Oil Recovery of Low-Permeability Cores by SiO<sub>2</sub> Nanofluid
This
study investigated the mechanisms and performance of SiO<sub>2</sub> nanofluid for enhanced oil recovery (EOR) in low-permeability
cores. Three-phase contact angles for quartz/oil/brine systems were
measured, and the microscopic imbibition characteristics of nanofluids
in a capillary were observed through visualization experiments. In
addition, the effects of the adsorption of the nanoparticles on the
oil–water relative permeability was studied using core displacement
tests. Furthermore, a total of 11 core flooding tests were performed,
and the effects of injection parameters, such as nanoparticle concentration,
injection rate, and injection scheme, on the oil recovery were investigated.
Wettability alterations were observed among quartz/oil/brine systems
that contributed to higher displacement efficiencies in microscopic
imbibition tests. Relative permeability measurements showed that,
upon the adsorption of the nanoparticles, the irreducible water saturation
and oil-phase relative permeability increased whereas the water-phase
relative permeability decreased. Moreover, nanoparticles tended to
adhere to the pore surface of the rock, which significantly changed
the wettability of cores to strongly water-wet conditions. Nanofluid
displacement tests showed that additional 4.48–10.33% increments
in the oil recovery can be obtained compared to conventional waterflooding.
With increasing nanoparticle concentration, the viscosity and asphaltene
content of the produced oil gradually decreased. The results showed
that the optimum nanoparticle concentration was 10 ppm, whereas further
a increase in the injected nanoparticle concentration could plug the
pore throats, resulting in a slight decrease in tertiary oil recovery.
The effects of nanofluid imbibition on the recovery were more significant
at lower injection rates, leading to higher recoveries. Furthermore,
it was found that cyclic nanofluid injection can provide higher tertiary
oil recovery than a continuous nanofluid injection scheme
Enhanced Oil Recovery of Low-Permeability Cores by SiO<sub>2</sub> Nanofluid
This
study investigated the mechanisms and performance of SiO<sub>2</sub> nanofluid for enhanced oil recovery (EOR) in low-permeability
cores. Three-phase contact angles for quartz/oil/brine systems were
measured, and the microscopic imbibition characteristics of nanofluids
in a capillary were observed through visualization experiments. In
addition, the effects of the adsorption of the nanoparticles on the
oil–water relative permeability was studied using core displacement
tests. Furthermore, a total of 11 core flooding tests were performed,
and the effects of injection parameters, such as nanoparticle concentration,
injection rate, and injection scheme, on the oil recovery were investigated.
Wettability alterations were observed among quartz/oil/brine systems
that contributed to higher displacement efficiencies in microscopic
imbibition tests. Relative permeability measurements showed that,
upon the adsorption of the nanoparticles, the irreducible water saturation
and oil-phase relative permeability increased whereas the water-phase
relative permeability decreased. Moreover, nanoparticles tended to
adhere to the pore surface of the rock, which significantly changed
the wettability of cores to strongly water-wet conditions. Nanofluid
displacement tests showed that additional 4.48–10.33% increments
in the oil recovery can be obtained compared to conventional waterflooding.
With increasing nanoparticle concentration, the viscosity and asphaltene
content of the produced oil gradually decreased. The results showed
that the optimum nanoparticle concentration was 10 ppm, whereas further
a increase in the injected nanoparticle concentration could plug the
pore throats, resulting in a slight decrease in tertiary oil recovery.
The effects of nanofluid imbibition on the recovery were more significant
at lower injection rates, leading to higher recoveries. Furthermore,
it was found that cyclic nanofluid injection can provide higher tertiary
oil recovery than a continuous nanofluid injection scheme
Nanorods with Different Surface Properties in Directing the Compatibilization Behavior and the Morphological Transition of Immiscible Polymer Blends in Both Shear and Shear-Free Conditions
To
explore the mechanism of how the nanorod surface properties
regulate the compatibilization behavior and the morphology transition
in demixing polymer blends, we perform dissipative particle dynamics
simulations and study the impact of three typical nanorods on the
phase separation kinetics and structure as well as their location
and arrangement under both shear-free and shear conditions with the
variation of nanorod–polymer affinity parameters. Depending
on the dispersion and location of nanorods, blends in the quiescent
case either undergo full phase separation and generate bulky two-phase
morphology, or experience microphase separation and form BμE-like
structure, or proceed viscoelastic phase separation and take the kinetically
trapped cocontinuous network morphology, whereas shear flow can either
accelerate domain coarsening or strongly impact the phase behavior
through shear-induced bulk phase separation or shear-induced ordering
transition. Particularly, the shear-induced lamellar phase in Janus
nanorod-filled blends chooses parallel orientation and displays the
lateral ordering within layers
Above-Band Gap Photoinduced Stabilization of Engineered Ferroelectric Domains
The effect of above-band
gap photons on the domains of the BiFeO<sub>3</sub> (BFO) thin film
was investigated via piezoresponse force
microscopy and Kelvin probe force microscopy. It is found that under
above-band gap illumination, the relaxation time of the polarization
state was significantly extended, while the effective polarizing voltage
for the pristine domains was reduced. We propose that this photoinduced
domain stabilization can be attributed to the interaction between
photogenerated surface charges and domains. Importantly, a similar
phenomenon is observed in other ferroelectric (FE) materials with
an internal electric field once they are illuminated by above-band
gap light, indicating that this photoinduced stabilization is potentially
universal rather than specific to BFO. Thus, this study will not only
contribute to the knowledge of photovoltaic (PV) phenomena but also
provide a new route to promote the stability of PV and FE materials