170 research outputs found
Thermochemical Properties (Δ<sub>f</sub><i>H</i>°(298 K), <i>S</i>°(298 K), <i>C<sub>p</sub></i>(<i>T</i>)) and Bond Dissociation Energies for C1–C4 Normal Hydroperoxides and Peroxy Radicals
Structure
and thermochemical properties of the normal hydroperoxides,
C<sub><i>n</i></sub>H<sub>2<i>n</i>+1</sub>OOH
(1 ≤ <i>n</i> ≤ 4), and corresponding peroxy
radicals, C<sub><i>n</i></sub>H<sub>2<i>n</i>+1</sub>OO·(1 ≤ <i>n</i> ≤ 4), are determined
by density functional M06-2X, multilevel G4, composite CBS-QB3, and
CBS-APNO level calculations. Unique to this study is that the Δ<sub>f</sub><i>H</i>°<sub>298</sub> values are determined
using several isodesmic reactions which utilize experimental standard
enthalpy data for CH<sub>3</sub>OOCH<sub>3</sub> and CH<sub>3</sub>CH<sub>2</sub>OOCH<sub>2</sub>CH<sub>3</sub> as reference species,
where previous studies used atomization or work reactions with alcohols
or other nonperoxide species. The <i>S</i>°<sub>298</sub> and <i>C<sub>p</sub></i>(<i>T</i>) (300 ≤ <i>T</i>/K ≤ 1500) from vibration, translation, and external
rotation contributions are calculated based on the vibration frequencies
and structures obtained from the density functional study. Potential
barriers for the internal rotations are calculated at B3LYP/6-31+G(d,p)
level, the hindered internal rotation contributions
to <i>S</i>°<sub>298</sub> and <i>C<sub>p</sub></i>(<i>T</i>) are calculated using direct integration
over energy levels of the internal rotational potentials. The results
show the following Δ<sub>f</sub><i>H</i>°<sub>298</sub> values (units in kcal mol<sup>–1</sup>): CH<sub>3</sub>OOH (−31.0), CH<sub>3</sub>CH<sub>2</sub>OOH (−39.0),
CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>OOH (−44.0), CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>CH<sub>2</sub>OOH (−48.9),CH<sub>3</sub>OO· (2.4), CH<sub>3</sub>CH<sub>2</sub>OO· (−6.2),
CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>OO· (−11.4),
and CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>CH<sub>2</sub>OO·
(−16.6). Bond dissociation energies for the R–OOH,
RO–OH, ROO–H, R–OOj, and RO–Oj bonds are
reported. The enthalpy values from the use of experimental data as
a reference show very good agreement and support the data obtained
from calculation methods. They should be used for reference values.
Entropy and heat capacity values show good agreement with the calculation
literature. The standard entropies for butyl hydroperoxide, propyl peroxy, and butyl peroxy are corrected
Thermochemical Properties and Bond Dissociation Energies for Fluorinated Methanol, CH<sub>3–<i>x</i></sub>F<sub><i>x</i></sub>OH, and Fluorinated Methyl Hydroperoxides, CH<sub>3–<i>x</i></sub>F<sub><i>x</i></sub>OOH: Group Additivity
Oxygenated fluorocarbons are routinely
found in sampling of environmental soils and waters as a result of
the widespread use of fluoro and chlorofluoro carbons as heat transfer
fluids, inert materials, polymers, fire retardants and solvents; the
influence of these chemicals on the environment is a growing concern.
The thermochemical properties of these species are needed for understanding
their stability and reactions in the environment and in thermal process.
Structures and thermochemical properties on the mono- to trifluoromethanol,
CH<sub>3–<i>x</i></sub>F<sub><i>x</i></sub>OH, and fluoromethyl hydroperoxide, CH<sub>3–<i>x</i></sub>F<sub><i>x</i></sub>OOH (1 ≤ <i>x</i> ≤ 3), are determined by CBS-QB3, CBS-APNO, and G4 calculations.
Entropy, <i>S</i>°<sub>298</sub>, and heat capacities, <i>C<sub>p</sub></i>(<i>T</i>)’s (300 ≤ <i>T</i>/K ≤ 1500) from vibration, translation, and external
rotation contributions are calculated on the basis of the vibration
frequencies and structures obtained from the B3LYP/6-31+G(d,p) density
functional method. Potential barriers for the internal rotations are
also calculated from this method and used to calculate hindered rotor
contributions to <i>S</i>°<sub>298</sub> and <i>C<sub>p</sub></i>(<i>T</i>)’s using direct
integration over energy levels of the internal rotational potentials.
Standard enthalpies of formation, Δ<sub>f</sub><i>H</i>°<sub>298</sub> (units in kcal mol<sup>–1</sup>) are
CH<sub>2</sub>FOOH (−83.7), CHF<sub>2</sub>OOH (−138.1),
CF<sub>3</sub>OOH (−193.6), CH<sub>2</sub>FOO<sup>•</sup> (−44.9), CHF<sub>2</sub>OO<sup>•</sup> (−99.6),
CF<sub>3</sub>OO<sup>•</sup> (−153.8), CH<sub>2</sub>FOH (−101.9), CHF<sub>2</sub>OH (−161.6), CF<sub>3</sub>OH (−218.1), CH<sub>2</sub>FO<sup>•</sup> (−49.1),
CHF<sub>2</sub>O<sup>•</sup> (−97.8), CF<sub>3</sub>O<sup>•</sup> (−150.5), CH<sub>2</sub>F<sup>•</sup> (−7.6), CHF<sub>2</sub><sup>•</sup> (−58.8),
and CF<sub>3</sub><sup>•</sup> (−112.6). Bond dissociation
energies for the R–OOH, RO–OH, ROO–H, R–OO<sup>•</sup>, RO–O<sup>•</sup>, R–OH, RO–H,
R–O<sup>•</sup>, and R–H bonds are determined
and compared with methyl hydroperoxide to observe the trends from
added fluoro substitutions. Enthalpy of formation for the fluoro-hydrocarbon
oxygen groups C/F/H<sub>2</sub>/O, C/F<sub>2</sub>/H/O, C/F<sub>3</sub>/O, are derived from the above fluorinated methanol and fluorinated
hydroperoxide species for use in Benson’s Group Additivity.
It was determined that fluorinated peroxides require interaction terms
O/CH<sub>2</sub>F/O, O/CHF<sub>2</sub>/O, and O/CF<sub>3</sub>/O,
as opposed to the common (O/C/O) group in hydrocarbons, resulting from interactions
of the peroxide oxygen with the fluorines. Hydrogen bond dissociation
increment (HBI) groups are also developed
Thermochemical Properties Enthalpy, Entropy, and Heat Capacity of C1–C4 Fluorinated Hydrocarbons: Fluorocarbon Group Additivity
Enthalpies
of formation for 14 C2–C4 fluorinated hydrocarbons
were calculated with nine popular ab initio and density functional
theory methods: B3LYP, CBS-QB3, CBS-APNO, M06, M06-2X, ωB97X,
G4, G4(MP2)-6X, and W1U via several series of isodesmic reactions.
The recommended ideal gas phase Δ<i>H</i><sub><i>f</i>298</sub><sup>°</sup> (kcal mol<sup>–1</sup>) values calculated in this study are
the following: −65.4 for CH<sub>3</sub>CH<sub>2</sub>F; −70.2
for CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>F; −75.3 for
CH<sub>3</sub>CHFCH<sub>3</sub>; −75.2 for CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>CH<sub>2</sub>F; −80.3 for CH<sub>3</sub>CHFCH<sub>2</sub>CH<sub>3</sub>; −108.1 for CH<sub>2</sub>F<sub>2</sub>; −120.9 for CH<sub>3</sub>CHF<sub>2</sub>; −125.8
for CH<sub>3</sub>CH<sub>2</sub>CHF<sub>2</sub>; −133.3 for
CH<sub>3</sub>CF<sub>2</sub>CH<sub>3</sub>; −166.7 for CHF<sub>3</sub>; −180.5 for CH<sub>3</sub>CF<sub>3</sub>; −185.5
for CH<sub>3</sub>CH<sub>2</sub>CF<sub>3</sub>; −223.2 for
CF<sub>4</sub>; and −85.8 for (CH<sub>3</sub>)<sub>3</sub>CF.
Entropies (<i>S</i><sub>298</sub><sup>°</sup> in cal mol<sup>–1</sup> K<sup>–1</sup>) were estimated using B3LYP/6-31+G(d,p) computed
frequencies and geometries. Rotational barriers were determined and
hindered internal rotational contributions for <i>S</i><sub>298</sub><sup>°</sup>, and <i>C</i><sub><i>p</i></sub>(<i>T</i>) were
calculated using the rigid rotor harmonic oscillator approximation,
with direct integration over energy levels of the intramolecular rotation
potential energy curve. Thermochemical properties for the fluorinated
carbon groups C/C/F/H<sub>2</sub>, C/C<sub>2</sub>/F/H, C/C/F<sub>2</sub>/H, C/C<sub>2</sub>/F<sub>2</sub>, and C/C/F<sub>3</sub> were
derived from the above target fluorocarbons. Previously published
enthalpies and groups for 1,2-difluoroethane, 1,1,2-trifluoroethane,
1,1,2,2-tetrafluoroethane, 1,1,1,2-tetrafluoroethane, 1,1,1,2,2-pentafluoroethane,
2-fluoro-2-methylpropane that were previously determined via work
reaction schemes are revised using updated reference species values.
Standard deviations are compared for the calculation methods
Study on essential drug use status and its influencing factors among cerebral infarction inpatients in county level hospitals of Anhui Province, China
<div><p>Background and purpose</p><p>Drug costs is one of the main components of hospitalization expenditure for cerebral infarction inpatients. In China, the National Essential Medicine System (NEMS) was created to relieve the heavy drug-cost burden for patients. The objective of this study was to investigate essential drug-use status and its influencing factors among cerebral infarction inpatients in county-level hospitals of Anhui province, China.</p><p>Methods</p><p>Three county-level hospitals were selected through a multi-stage cluster random sampling method. The hospitalization cost data of cerebral infarction inpatients in the three hospitals were extracted from the Anhui provincial information platform of the New Rural Cooperative Insurance System (NCMS), and whether the proportion of essential drug cost in the total drug cost reached the median value of 33.05% which was set as the evaluation index for essential drug-use status. Questionnaires for hospitals and physicians were designed and given to them to assess influencing factors.</p><p>Results</p><p>We retrieved the cost data of 2,189 inpatients from the NCMS platform and investigated 51 corresponding physicians in total. The drug costs accounted for 52.6% of the total hospitalization cost, and essential drug costs alone accounted for 37.0% of the total drug costs. The essential drug-cost proportion was high among physicians with a higher recognition degree on NEMS, older age, lower final academic degree, longer work experience and lower professional title. Married physicians and those with tight organizational affiliation also prescribed more essential drugs.</p><p>Conclusions</p><p>Increasing the proportion of essential drugs was an effective way to reduce the disease burden for cerebral infarction patients. Perfecting the NEMS, increasing government investment, reinforcing education and propaganda, and formulating relevant incentive and restrictive mechanisms were all effective ways to promote and increase the number of essential drug prescriptions written by physicians.</p></div
Additional file 2 of The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma
Additional file 2: Supplementary Figure 2. The correlation of IRGscore with tumor mutation burden
Additional file 1 of The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma
Additional file 1: Supplementary Figure 1. The workflow of this study and consensus matrixes of screened genes
General and relevant business data of the three hospitals in 2015.
<p>General and relevant business data of the three hospitals in 2015.</p
Multifactor analysis of the elements that affected essential drug cost proportion.
<p>Multifactor analysis of the elements that affected essential drug cost proportion.</p
Physician’s recognition score on the supporting degree from patients, hospitals, government to the EMS and its effect.
<p>Physician’s recognition score on the supporting degree from patients, hospitals, government to the EMS and its effect.</p
A new data assimilation method for high-dimensional models
<div><p>In the variational data assimilation (VarDA), the typical way for gradient computation is using the adjoint method. However, the adjoint method has many problems, such as low accuracy, difficult implementation and considerable complexity, for high-dimensional models. To overcome these shortcomings, a new data assimilation method based on dual number automatic differentiation (AD) is proposed. The important advantages of the method lies in that the coding of the tangent-linear/adjoint model is no longer necessary and that the value of the cost function and its corresponding gradient vector can be obtained simultaneously through only one forward computation in dual number space. The numerical simulations for data assimilation are implemented for a typical nonlinear advection equation and a parabolic equation. The results demonstrate that the new method can reconstruct the initial conditions of the high-dimensional nonlinear dynamical system conveniently and accurately. Additionally, the estimated initial values can converge to the true values quickly, even if noise is present in the observations.</p></div
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