Trajectory-dependent threshold effects of proton stopping power in LiF nanosheets.

We conducted a study on the trajectory-dependent threshold effects of proton stopping power in LiF nanosheets using time-dependent density functional theory non-adiabatically coupled to the molecular dynamics. This study covered protons with initial velocities in the range of 0.1-1.0 a.u., offering a vast amount of detailed information on the electronic structure during the stopping process with superior spatial and temporal resolution. Our results show that the impact parameters of incident protons play a crucial role in determining the threshold behavior of proton stopping power in LiF nanosheets. Most importantly, we found that close collisions do not exhibit a discernible threshold. In addition, the research results also revealed the time dependence of the number of electrons occupying the atomic orbitals of F and Li as protons pass through the nanosheets.

Effects of semicore electrons on stopping power in helium-irradiated aluminum nanosheets.

The stopping power of energetic He ions traversing an Al film is studied by combining the time-dependent density-functional theory method with molecular dynamics simulations. We investigated the dependence of the semicore electron excitation of the Al film on the projectile's trajectory and its charge state. Our results show that for the off-channeling trajectories the semicore electrons contribute significantly to the stopping power of the Al film as the He+ ion velocity exceeds 1.0 a.u, and in contrast, it is negligible for the channeling trajectories. Most importantly, we found two unexpected effects of semicore electrons on the stopping power in helium-irradiated aluminum nanosheets, i.e., (1) the semicore electrons can contribute to the energy loss for both high and low energy projectiles under the off-channeling trajectory; (2) as the projectile velocity increases from 0.4 a.u. to 2.0 a.u. although semicore electron excitation (including transition in the target, ionization away from the target and transfer to the projectile ion) of the target atom is gradually inhibited, the influence of semicore electrons on valence electron excitation is gradually enhanced. Our finding allows us to gain new insights into the stopping of ions in metals.

[Chemical profiling and tissue distribution study of Jingyin Granules in rats using UHPLC-Q-Exactive Orbitrap HR-MS].

In this study, the chemical profiling of Jingyin Granules and the tissue distribution of nine major constituents in this Chinese medicine were performed after oral administration of Jingyin Granules to rats, by using UHPLC-Q-Exactive Orbitrap HR-MS. An Acquity UPLC BEH C_(18) chromatographic column(2.1 mm×100 mm, 1.7 µm) was used as solid phase, while the mobile phase was methanol and 0.1% formic acid water for gradient elution. The major constituents in this Chinese medicine were quickly and accurately identified, via comparison with the retention times and MS/MS spectra of the standards. A total of 106 chemicals were identified from Jingyin Granules, including 24 kinds of organic acids, 47 kinds of flavonoids, 10 kinds of iridoids, and 21 kinds of saponins and 4 kinds of other compounds. After oral administered Jingyin Granules to rats, 48, 30, 25, 23, 45, 34, 39, 26, 19 prototype compounds were identified in serum, heart, liver, spleen, lung, kidney, brain, fat, and testicles, respectively. Meanwhile, an LC-MS based analytical method was established for simultaneous determination of chlorogenic acid, swertiamarin, caffeic acid, sweroside, liquiritin, prim-O-glucosylcimifugin, arctiin, 5-O-methylvisammioside and arctigenin in biological samples. The tissue distribution(serum, liver and lung) of these nine aim constituents in rats after oral administration of Jingyin Granules were investigated. It was found that these nine constituents could be quickly absorbed into circulation system and then distributed to liver and lung tissues. Except arctigenin, the exposure of other eight aim constituents to serum and lung was peaked at 1 h. At 1 h, the exposure of these components to lung tissue were ranked as follows: swertiamarin [(75 191.0±3 483.21) ng·g~(-1)]>arctiin [(2 716.5±36.06) ng·g~(-1)]>5-O-methylvisammioside [(585.1±0.71) ng·g~(-1)]>arctigenin [(437.45±3.18) ng·g~(-1)]>chlorogenic acid [(308.1±5.66) ng·g~(-1)]>prim-O-glucosylcimifugin [(211.35±2.19) ng·g~(-1)]>sweroside [(184.3±9.05) ng·g~(-1)]>caffeic acid [(175.95±2.05) ng·g~(-1)]>liquiritin [(174.78±153.34) ng·g~(-1)]. In summary, an UHPLC-Q-Exactive Orbitrap HR-MS method has been established for rapid and accurate identification of the constituents in Jingyin Granules, while the tissue distribution of nine major absorpted constituents were investigated in rats following oral administration of Jingyin Granules. These findings provided key information and guidance for further studies on pharmacodynamic substances and clinical applications of Jingyin Granules.

Collision dynamics of proton with formaldehyde: fragmentation and ionization.

Using time-dependent density functional theory, applied to the valence electrons and coupled non-adiabatically to molecular dynamics of the ions, we study the ionization and fragmentation of formaldehyde in collision with a proton. Four different impact energies: 35 eV, 85 eV, 135 eV, and 300 eV are chosen in order to study the energy effect in the low energy region, and ten different incident orientations at 85 eV are considered for investigating the steric effect. Fragmentation ratios, single, double, and total electron ionization cross sections are calculated. For large impact parameters, these results are close to zero irrespective of the incident orientations due to a weak projectile-target interaction. For small impact parameters, the results strongly depend on the collision energy and orientation. We also give the kinetic energy releases and scattering angles of protons, as well as the cross section of different ion fragments and the corresponding reaction channels.

Theoretical study on collision dynamics of H(+) + CH4 at low energies.

In this work we make an investigation on collision dynamics of H(+) + CH4 at 30 eV by using time-dependent density functional theory coupled with molecular dynamics approach. All possible reactions are presented based on 9 incident orientations. The calculated fragment intensity is in nice agreement with experimental results. The mechanism of reaction transition for dissociation and proton exchange processes is explained by the intra-molecule energy transfer. However, the energy loss of the proton is in poor agreement with experimental results. The discrepancy is attributed to the mean-field treatment of potential surface. We also studied the dependence on initial velocity of both proton and methane. In addition, we find that for dynamical evolution a different self-interaction correction (SIC) may lead to different results, but with respect to the position of rainbow angle, average-density SIC seems to have reasonable correction.

Electron-proton relaxation in hot-dense plasmas with a screened quantum statistical potential.

Modeling the nonequilibrium process between ions and electrons is of great importance in laboratory fusion ignition, laser-plasma interaction, and astrophysics. For hot and dense plasmas, theoretical descriptions of Coulomb collisions remain complicated due to quantum effect at short distances and screening effect at long distances. In this paper, we propose an analytical screened quantum statistical potential that takes into account both the short-range quantum diffraction effect and the long-range screening effect. By implementing the newly developed potential into the binary scattering framework, the electron-proton temperature relaxation in hot-dense hydrogen plasmas is investigated. In both the classical and quantum limits, analytical expressions for the Coulomb logarithm have been obtained, which are generally embedded in an asymptotic matching formula. Quantitative comparisons with molecular dynamics simulations and recent OMEGA experiments demonstrate that the present modeling is well suited to describe the temperature relaxation process between electrons and ions in hot-dense plasmas.

Assessment of the electron-proton energy relaxation rates extracted from molecular dynamics simulations in weakly-coupled hydrogen plasmas.

Electron-proton energy relaxation rates are assessed using molecular dynamics (MD) simulations in weakly-coupled hydrogen plasmas. To this end, we use various approaches to extract the energy relaxation rate from MD-simulated temperatures, and we find that existing extracting approaches may yield results with a sizable discrepancy larger than the variance between analytical models, which is further verified by well-known case studies. Present results show that two of the extracting approaches can produce identical results, which is attributed to a proper treatment of relaxation evolution. To discriminate the use of various methods, an empirical criterion with respect to initial plasma temperatures is proposed, which can self-consistently explain the cases considered. In addition, for a transient electron-proton plasma, we show that it is possible to extrapolate the Coulomb logarithm from that derived by initial plasma parameters in a single MD calculation, which is reasonably consistent with previous MD data. Our results are helpful to obtain accurate MD-based energy relaxation rates.

Stochastic radiative transfer in random media. II. Coupling of radiation to material.

We study the mechanism of the impact of random media on the stochastic radiation transport based on a one-dimensional (1D) planar model. To this end, we use a random sampling of mixtures combined with a deterministic solution of the time-dependent radiation transport equation coupled to a material temperature equation. Compared to purely absorbing cases [C.-Z. Gao et al., Phys. Rev. E 102, 022111 (2020)10.1103/PhysRevE.102.022111], we find that material temperatures can significantly suppress the impact of mixing distribution and size, which is understood from the analysis of energy transport channels. By developing a steady-state stochastic transport model, it is found that the mechanism of transmission of radiation is distance dependent, which is closely related to the mean free path of photons l_{p}. Furthermore, we suggest that it is the relationship between l_{p} and L (the width of random medium) that determines the impact of random media on the stochastic radiation transport, which is further corroborated by additional simulations. Most importantly, combining the proposed simple relationship and 1D simulations, we resolve the existing disputable issue of the impact of random media in previous multidimensional works, showing that multidimensional results are essentially consistent and the observed weak or remarkable impact of random media is mainly due to the distinctly different relationship between l_{p} and L. Our results may have practical implications in relevant experiments of stochastic radiative transfer.

Auto-Segmentation Ultrasound-Based Radiomics Technology to Stratify Patient With Diabetic Kidney Disease: A Multi-Center Retrospective Study.

Background: An increasing proportion of patients with diabetic kidney disease (DKD) has been observed among incident hemodialysis patients in large cities, which is consistent with the continuous growth of diabetes in the past 20 years. Purpose: In this multicenter retrospective study, we developed a deep learning (DL)-based automatic segmentation and radiomics technology to stratify patients with DKD and evaluate the possibility of clinical application across centers. Materials and Methods: The research participants were enrolled retrospectively and separated into three parts: training, validation, and independent test datasets for further analysis. DeepLabV3+ network, PyRadiomics package, and least absolute shrinkage and selection operator were used for segmentation, extraction of radiomics variables, and regression, respectively. Results: A total of 499 patients from three centers were enrolled in this study including 246 patients with type II diabetes mellitus (T2DM) and 253 patients with DKD. The mean intersection-over-union (Miou) and mean pixel accuracy (mPA) of automatic segmentation of the data from the three medical centers were 0.812 ± 0.003, 0.781 ± 0.009, 0.805 ± 0.020 and 0.890 ± 0.004, 0.870 ± 0.002, 0.893 ± 0.007, respectively. The variables from the renal parenchyma and sinus provided different information for the diagnosis and follow-up of DKD. The area under the curve (AUC) of the radiomics model for differentiating between DKD and T2DM patients was 0.674 ± 0.074 and for differentiating between the high and low stages of DKD was 0.803 ± 0.037. Conclusion: In this study, we developed a DL-based automatic segmentation, radiomics technology to stratify patients with DKD. The DL technology was proposed to achieve fast and accurate anatomical-level segmentation in the kidney, and an ultrasound-based radiomics model can achieve high diagnostic performance in the diagnosis and follow-up of patients with DKD.

[Evaluation of immune responses and related patho-inflammatory reactions of a candidate inactivated EV71 vaccine in neonatal monkeys].

OBJECTIVE: To evaluate the safety of enterovirus type 71 (EV71) inactivated vaccine (human diploid derived) for infection prevention in an animal model by investigating the immune responses and related patho-inflammatory reactions. METHODS: In the neonatal monkey model for EV71 vaccine protection, vaccinated group (n = 4) and unvaccinated group (n = 4) were attacked with live virus at the same time, the parameters of clinical observations, antibodies and inflammatory factors in peripheral blood and cerebrospinal fluid (CSF) were detected. And the pathological changes in major organs were used to determine the patho-inflammatory reactions during the immune responses elicited by vaccination. RESULTS: The neutralizing antibodies of vaccine group reach to 1:32. There was no obvious changes of inflammatory factors in peripheral blood and CSF of monkeys challenged or unchallenged by live virus. In peripheral blood of unvaccinated group, the level of basophilic granulocyte higher 4 - 5 times than normal level and the interferon-γ (IFN-γ) showed obvious increase. Live virus infected after 7 days, the interleukin-6 (IL-6) and IFN-γ in peripheral blood of unvaccinated group (18.5, 12.7 pg/ml) were higher than vaccinated group (10.2, 7.6 pg/ml). Furthermore, the IL-6 in CSF (102.0 pg/ml) had 4 - 5 times increased than vaccinated group (12.4 pg/ml) at 7 days after virus exposure. Meanwhile, the pathological analysis revealed that no obvious changes were detected in CNS and other organs of vaccinated monkeys challenged with live virus. However, the pathological damages induced by virus infection could be determined in the unvaccinated control monkeys, including neuronal damage, massive cellular infiltration associated with pulmonary edema/hemorrhage and pulmonary/bronchial damage due to an infiltration of inflammatory cells. CONCLUSION: Capable of inducing an immune response, the EV71 inactivated vaccine offers protection to neonatal rhesus monkeys against the attacks of live virus. Based on the results of no patho-inflammatory reaction and pathological damage after viral infection in vaccinated animals, the excellent safety of this vaccine may be confirmed in neonatal monkey.

A series of guanidine salts of 3,6-bis-nitroguanyl-1,2,4,5-tetrazine: green nitrogen-rich gas-generating agent.

Nitrogen-rich energetic materials (EMs) have been widely studied because of their high thermal stability, insensitivity, excellent detonation performance and non-toxic characteristics. In particular, these compounds are well applied as gas-generating agents (GGAs). As a nitrogen-rich heterocyclic framework, 1,2,4,5-tetrazine derivatives have shown great potential in the design of GGAs. The guanidine salts of 3,6-bis-nitroguanyl-1,2,4,5-tetrazine (DNGTz), guanidine (G2DNGTz) (1), aminoguanidine (AG2DNGTz) (2), diaminoguanidine (DAG2DNGTz) (3), and triaminoguanidine (TAG2DNGTz) (4) have been synthesized and characterized by elemental analysis and FT-IR. The crystal structures of 1 and 2 were obtained by X-ray single crystal diffraction. Crystal analysis shows that 1 and 2 arrange through zigzag-chain-like assembly and face-to-face geometries, which is helpful in decreasing mechanical sensitivity. The thermal stability and thermal decomposition kinetics of these four salts were studied by Differential Scanning Calorimetry (DSC). Furthermore, the thermogravimetry-Fourier transform infrared-mass spectrometry (TG-FTIR-MS) analysis of thermal decomposition products reveals that the main decomposition gaseous products are H2O, N2O, CO2, NO, N2 and NH3. Then, the cytotoxicity of the four salts was tested by MTT (3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide) method, and it was found that salts 1-4 show slight cytotoxicity in mouse fibroblasts (L929), at a concentration of 0.125 mg ml-1. The insensitivity, low toxicity, and production of clean gases without solid residue after burning of salt 1 indicate that it can be used as a potential green energetic material for GGAs.

Stochastic radiative transfer in random media: Pure absorbing cases.

We study stochastic radiation transport through random media in one dimension, in particular for pure absorbing cases. The statistical model to calculate the ensemble-averaged transmission for a binary random mixture is derived based on the cumulative probability density function (PDF) of optical depth, which is numerically simulated for both Markovian and non-Markovian mixtures by Monte Carlo calculations. We present systematic results about the influence of mixtures' stochasticity on the radiation transport. It is found that mixing statistics affects the ensemble-averaged intensities mainly due to the distribution of cumulative PDF at small optical depths, which explains well why the ensemble-averaged transmission is observed to be sensitive to chord length distribution and its variances. The effect of the particle size is substantial when the mixtures' correlation length is comparable to the mean free path of photons, which imprints a moderately broad transition region into the cumulative PDF. With the mixing probability increasing, the intensity decreases nearly exponentially, from which the mixing zone length can be approximately estimated. The impact of mixed configuration is also discussed, which is in line with previous results.

Distributed ESO based cooperative tracking control for high-order nonlinear multiagent systems with lumped disturbance and application in multi flight simulators systems.

Based on extended state observer, a novel and practical design method is developed to solve the distributed cooperative tracking problem of higher-order nonlinear multiagent systems with lumped disturbance in a fixed communication topology directed graph. The proposed method is designed to guarantee all the follower nodes ultimately and uniformly converge to the leader node with bounded residual errors. The leader node, modeled as a higher-order non-autonomous nonlinear system, acts as a command generator giving commands only to a small portion of the networked follower nodes. Extended state observer is used to estimate the local states and lumped disturbance of each follower node. Moreover, each distributed controller can work independently only requiring the relative states and/or the estimated relative states information between itself and its neighbors. Finally an engineering application of multi flight simulators systems is demonstrated to test and verify the effectiveness of the proposed algorithm.

Non-singular terminal dynamic surface control based integrated guidance and control design and simulation.

In this paper, a novel cascade type design model is transformed from the simulation model, which has a broader scope of application, for integrated guidance and control (IGC). A novel non-singular terminal dynamic surface control based IGC method is proposed. It can guarantee the missile with multiple disturbances fast hits the target with high accuracy, while considering the terminal impact angular constraint commendably. And the stability of the closed-loop system is strictly proved. The essence of integrated guidance and control design philosophy is reached that establishing a direct relation between guidance and attitude equations by "intermediate states" and then designing an IGC law for the obtained integrated cascade design model. Finally, a series of simulations and comparisons with a 6-DOF nonlinear missile that includes all aerodynamic effects are demonstrated to illustrate the effectiveness and advantage of the proposed IGC method.

Anti-inflammatory effects of potato extract on a rat model of cigarette smoke-induced chronic obstructive pulmonary disease.

OBJECTIVE: This study aimed to evaluate the therapeutic effects of potato extract (PE) on cigarette smoke (CS)-induced chronic obstructive pulmonary disease (COPD). METHODS: PE was first prepared by frozen centrifugation, and its amino acid composition was detected. Toxicity of PE was analyzed by changes in morphology, behavior, routine blood indexes, and biochemical criteria of mice. Then, the COPD rat model was established by CS exposure, and PE, doxofylline, and prednisolone acetate were used to treat these rats. After 45 days of treatment, the morphology and behavior of rats were recorded. In addition, the histopathology of lung tissue was evaluated by chest x-ray and hematoxylin and eosin staining. The expression of interleukine-10 (IL-10), tumor necrosis factor-α (TNF-α), and granulocyte colony-stimulating factor (G-CSF) was detected in serum and lung tissue by enzyme-linked immunosorbent assay (ELISA) and immunohistochemistry, respectively. RESULTS: Various amino acids were identified in PE, and no toxicity was exhibited in mice. The CS-induced COPD rat model was successfully established, which exhibited significant thickened and disordered lung markings on 90% of the rats. After administering doxofylline and prednisolone acetate, inflammation symptoms were improved. However, side effects such as emaciation, weakness, and loosening of teeth appeared. In the PE group, obviously improved histopathology was observed in lung tissues. Meanwhile, it was revealed that PE could increase the expression of IL-10 and reduce the expression of TNF-α and G-CSF in COPD rats, and doxofylline and prednisolone acetate also elicited similar results. CONCLUSION: Our study suggests PE might be effective in the treatment of CS-induced COPD by inhibiting inflammation.

The effects of electron transfer on the energy loss of slow He²âº, C²âº, and C4⁺ ions penetrating a graphene fragment.

Electronic energy loss in the collision processes of slow ions with a graphene fragment is investigated by combining ab initio time-dependent density functional theory calculations for electrons with molecular dynamics simulations for ions in real time and real space. We study the electronic energy loss of slow He²âº, C²âº, and C4⁺ ions penetrating the graphene fragment as a function of the ion velocity, and establish the velocity-proportional energy loss for low-charged ions down to 0.1 a.u. One mechanism clarified in the simulations for electron transfer is polarization capture, which is effective for bare ions at low velocities. The other one is resonance capture, by which the incident ion can capture electrons from the graphene fragment to its electron affinity levels, which have the same, or nearly the same, energy as those of the electron donor levels. The results demonstrate that the nonlinear behavior of energy loss of C4⁺ is attributed to the large number of electrons captured by this multi-charged ion during the collision.