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The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet printing (AJP) technology. Despite the incorporation of carbon nanotubes (CNTs) and specified solvents into functional inks can improve inter-particle connectivity and ink printability respectively, it is still challenging to consider multiple conflicting properties in mixture design simultaneously. This research proposes a novel hybrid multi-objective optimization method to determine the optimal functional ink composition to achieve low electrical resistivity and high printed line quality. In the proposed approach, silver ink, CNTs ink and ethanol are blended according to mixture design, and two response surface models (ReSMs) are developed based on the Analysis of Variance. Then a desirability function method is employed to identify a 2D optimal operating material window to balance the conflicting responses. Following that, the conflicting objectives are optimized in a more robust manner in the 3D mixture design space through the integration of a non-dominated sorting genetic algorithm III (NSGA-III) with the developed ReSMs and the corresponding statistical uncertainty. Experiments are conducted to validate the effectiveness of the proposed approach, which extends the methodology of designing materials with multi-component and multi-property in AJP technology. Published version This work was partly supported by the Major Projects of Natural Science Research in Universities of Anhui Province [grant number KJ2021ZD0137], Key Natural Science Project of Anhui Provincial Education Department [grant number KJ2021A1111] and partly by Doctoral Research Startup Project of Suzhou University [grant number 2021BSK023].

In this work, we explore the driven dynamics of the one-dimensional ($1$D) localization transitions. By linearly changing the strength of disorder potential, we calculate the evolution of the localization length $\xi$ and the inverse participation ratio (IPR) in a disordered Aubry-Andr\'{e} (AA) model, and investigate the dependence of these quantities on the driving rate. At first, we focus on the limit in the absence of the quasiperiodic potential. We find that the driven dynamics from both ground state and excited state can be described by the Kibble-Zurek scaling (KZS). Then, the driven dynamics near the critical point of the AA model is studied. Here, since both the disorder and the quasiperiodic potential are relevant directions, the KZS should include both scaling variables. Our present work not only extends our understanding of the localization transitions but also generalize the application of the KZS., Comment: 7 pages, 6 figures

Thoroughly understanding the transport and energy loss of intense ion beams in dense matter is essential for high-energy-density physics and inertial confinement fusion. Here, we report a stopping power experiment with a high-intensity laser-driven proton beam in cold, dense matter. The measured energy loss is one order of magnitude higher than the expectation of individual particle stopping models. We attribute this finding to the proximity of beam ions to each other, which is usually insignificant for relatively-low-current beams from classical accelerators. The ionization of the cold target by the intense ion beam is important for the stopping power calculation and has been considered using proper ionization cross section data. Final theoretical values agree well with the experimental results. Additionally, we extend the stopping power calculation for intense ion beams to plasma scenario based on Ohm's law. Both the proximity- and the Ohmic effect can enhance the energy loss of intense beams in dense matter, which are also summarized as the beam-density effect. This finding is useful for the stopping power estimation of intense beams and significant to fast ignition fusion driven by intense ion beams.

Deconfined quantum critical point (DQCP) characterizes a kind of exotic phase transition beyond the usual Landau-Ginzburg-Wilson paradigm. Here we study the nonequilibrium imaginary-time dynamics of the DQCP in the two-dimensional J-Q_{3} model. We explicitly show the deconfinement dynamic process and identify that it is the spinon confinement length, rather than the usual correlation length, that increases proportionally to the time. Moreover, we find that, in the relaxation process, the order parameters of the Néel and the valence-bond-solid orders can be controlled by different length scales, although they satisfy the same equilibrium scaling forms. A dual dynamic scaling theory is then proposed. Our findings not only constitute a new realm of nonequilibrium criticality in DQCP, but also offer a controllable knob by which to investigate the dynamics in strongly correlated systems. Possible realizations in foreseeable quantum computers are also discussed.

We explore the imaginary-time relaxation dynamics near quantum critical points with semi-ordered initial states. Different from the case with homogeneous ordered initial states, in which the order parameter $M$ decays homogeneously as $M\propto \tau^{-\beta/\nu z}$, here $M$ depends on the location $x$, showing rich scaling behaviors. Similar to the classical relaxation dynamics with an initial domain wall in Model A, which describes the purely dissipative dynamics, here as the imaginary time evolves, the domain wall expands into an interfacial region with growing size. In the interfacial region, the local order parameter decays as $M\propto \tau^{-\beta_1/\nu z}$, with $\beta_1$ being an additional dynamic critical exponent. Far away from the interfacial region the local order parameter decays as $M\propto \tau^{-\beta/\nu z}$ in the short-time stage, then crosses over to the scaling behavior of $M\propto \tau^{-\beta_1/\nu z}$ when the location $x$ is absorbed in the interfacial region. A full scaling form characterizing these scaling properties is developed. The quantum Ising model in both one and two dimensions are taken as examples to verify the scaling theory. In addition, we find that for the quantum Ising model the scaling function is an analytical function and $\beta_1$ is not an independent exponent., Comment: 7 pages, 5 figures

Background: Spinal cord injury triggers complex pathological cascades, resulting in destructive tissue damage and incomplete tissue repair. Scar formation is generally considered as a barrier for regeneration in central nervous system (CNS), while the intrinsic mechanism of scar-forming after spinal cord injury has not been completed deciphered. Methods: We assessed cholesterol hemostasis in spinal cord lesions and injured peripheral nerves using confocal reflection microscopy and real-time PCR analyses. The involvement of the proteins, which were predicted to promote cholesterol efflux in spinal cord lesions, were assessed with Liver X receptor (LXR) agonist and Apolipoprotein E (APOE) deficiency. The role of reverse cholesterol transport (RCT) in cholesterol clearance was examined in APOE KO mice injured sciatic nerves and myelin-overloaded macrophages in vitro. Finally, we determined the consequence of excess cholesterol accumulation in CNS by transplantation of myelin into neonatal spinal cord lesions. Results: We found that excess cholesterol accumulates in phagocytes and is inefficiently removed in spinal cord lesions in young-adult mice. Interestingly, we observed that excessive cholesterol also accumulates in injured peripheral nerves, but is subsequently removed by RCT. Meanwhile, preventing RCT led to macrophage accumulation and fibrosis in injured peripheral nerves. Furthermore, the neonatal mouse spinal cord lesions are devoid of myelin-derived lipids, and able to heal without excess cholesterol accumulation. We found that transplantation of myelin into neonatal lesions disrupts healing with excessive cholesterol accumulation, persistent macrophage activation and fibrosis, indicating myelin-derived cholesterol plays a critical role in impaired wound healing.

Additional file 1. SPIRIT Checklist for Trials.

The article discusses the system of dialogue control manipulation robots. The analysis of the basic methods of automatic speech recognition, speech understanding, dialogue management, voice response synthesis in dialogue systems has been carried out. Three types of dialogue management are considered as "system initiative", "user initiative" and "combined initiative". A system of object-oriented dialog control of a robot based on the theory of finite state machines with using a deep neural network is proposed. The main difference of the proposed system lies in the separate implementation of the dialogue process and robot’s actions, which is close to the pace of natural dialogue control. This method of constructing a dialogue control robot allows system to automatically correct the result of speech recognition, robot’s actions based on tasks. The necessity of correcting the result of speech recognition and robot’s actions may be caused by the users’ accent, working environment noise or incorrect voice commands. The process of correcting speech recognition results and robot’s actions consists of three stages, respectively, in a special mode and a general mode. The special mode allows users to directly control the manipulator by voice commands. The general mode extends the capabilities of users, allowing them to get additional information in real time. At the first stage, continuous speech recognition is built by using a deep neural network, taking into account the accents and speech speeds of various users. Continuous speech recognition is a real-time voice to text conversion. At the second stage, the correction of the speech recognition result by managing the dialogue based on the theory of finite automata. At the third stage, the actions of the robot are corrected depending on the operating state of the robot and the dialogue management process. In order to realize a natural dialogue between users and robots, the problem is solved in creating a small database of possible dialogues and using various training data. In the experiments, the dialogue system is used to control the KUKA manipulator (KRC4 control) to put the desired block in the specified location, implemented in the Python environment using the RoboDK software. The processes and results of experiments confirming the operability of the interactive robot control system are given. A fairly high accuracy (92 %) and an automatic speech recognition rate close to the rate of natural speech were obtained.

It is objective needs during utilization and management of regional cultivated land resource to use remote sensing to accurately and efficiently retrieve the status of cultivated land fertility at county level and realize the gradation of cultivated land rapidly. In this study, with Dongping County as a case, using Landsat TM satellite imagery and cultivated land fertility evaluation data, the moisture vegetation fertility index (MVFI) was constructed based on surface water capacity index (SWCI) and normalized difference vegetation index (NDVI), and then the optimal inversion model was optimized to obtain the best inversion model, which was further applied and verified at the county scale. The results showed that the correlation coefficient between MVFI and integrated fertility index (IFI) was -0.753, which could comprehensively reflect the growth of winter wheat, soil moisture and land fertility, and had clear biophysical significance. The best inversion model was the quadratic model, with high inversion accuracy. This model was suitable for the inversion of cultivated land fertility in the county. The spatial distribution and uniformity of the inversion results were similar to the results of soil fertility evaluation. The area differences between the high, medium and low grades were all less than 2.9%. This study provided a remote sensing inversion method of cultivated land fertility based on the feature space theory, which could effectively improve the evaluation efficiency and prediction accuracy of cultivated land fertility at the county scale.利用遥感反演县域耕地地力状况,快速、准确、高效地实现耕地定级,是区域耕地资源利用与管理的客观需求。本研究以东平县为研究区,利用Landsat-TM卫星影像和耕地地力评价资料,构建以地表含水量指数(SWCI)、归一化植被指数(NDVI)为特征参量的水分植被地力指数(MVFI),进而优选得到最佳反演模型,并在县域空间上进行推广应用和精度验证。结果表明: MVFI与耕地地力综合指数(IFI)的相关系数为-0.753,能综合反映小麦长势、土壤墒情和地力水平,具有明确的生物物理意义;最佳反演模型为二次模型,反演精度较高;模型适用于县域耕地地力的反演,反演结果与地力评价结果的空间分布规律和均匀程度相似,高、中、低等级耕地的面积差均低于2.9%。本研究提出的基于特征空间理论的耕地地力遥感反演方法,可有效提高县域耕地地力的评价效率和预测精度。.

Additional file 1. Additional figures and table. Figure S1.The fluorescence spectra of free IR780, IR780@RBC and IR780@rRBC in PBS and ethanol solutions. Figure S2.The digital pictures of the IR780@rRBC NPs in water, PBS and 10wt% sucrose. Figure S3.IR images of water, free IR780, IR780@RBC and IR780@rRBC after 808-nm laser irradiation for 180s. Figure S4.Cell viability of different formulations on CT26 cells at different incubation time with or without laser (2h, 8h). Figure S5.The representative organ images of free IR780, IR780@RBC and IR780@rRBC NPs in biodistribution study. Figure S6.In vivo toxicity. a) Body weight changes over the treatment period. b) Table of serum biochemical indicators acquired from mice on day 14. c) H&E staining of the heart, liver, spleen, lung, and kidney from mice on day 14.Table S1.Pharmacokinetic parameters for i.v. injection in mice.

In this paper, the interplay of the non-Herimiticity and the cascade of delocalization transition in the quasi-periodic chain is studied. The study is applied in a non-Hermitian interpolating Aubry-Andr{��}-Fibonacci (IAAF) model, which combines the non-Hermitian Aubry-Andr{��} (AA) model and the non-Hermitian Fibonacci model through a varying parameter, and the non-Hermiticity in this model is introduced by the non-reciprocal hopping. In the non-Hermitian AA limit, the system undergoes a delocalization transition by tuning the potential strength. At the critical point, the spatial distribution of the critical state shows a self-similar structure with the relative distance between the peaks being the Fibonacci sequence, and the finite-size scaling of the inverse participation ratios $({\rm IPRs})$ of the critical ground state with lattice size $L$ shows that ${\rm IPR}_g\propto L^{-0.1189}$. In the non-Hermitian Fibonacci limit, we find that the system is always in the extended phase. Along the continuous deformation from the non-Hermitian AA model into the non-Hermitian Fibonacci model in the IAAF model, the cascade of the delocalization transition is found, but only a few plateaux appear. Moreover, the self-similar structure of spatial distribution for the critical modes along the cascade transition is also found. In addition, we find that the delocalization transition and the real-complex transition for the excited states happen at almost the same parameter. Our results show that the non-Hermiticity provides an additional knob to control the cascade of the delocalization transition besides the on-site potential.

The perforator cavity pressure tester is the main instrument for the composite perforation and deflagration pressure test of oil well. Due to the problem that the battery capacity of the instrument needs to be keyed up, assembled and downloaded, an intracavity pressure tester based on the photoelectric inversion switch is proposed. The problem that the tester is unable to power up is effectively avoided. The power management, signal acquisition and data storage module design of the cavity pressure tester is studied. The photoelectric inversion switch is tested at high temperature. The actual test data show that the tester has strong pressure resistance, high sensitivity and reliable structure.

Yin, S.; Xu, W., and Yu, C.L., 2020. Direct torque control of permanent magnet synchronous motor in ship propulsion system based on memory attenuation Kalman filter. In: Al-Tarawneh, O. and Megahed, A. (eds.), Recent Developments of Port, Marine, and Ocean Engineering. Journal of Coastal Research, Special Issue No. 110, pp. 80–86. Coconut Creek (Florida), ISSN 0749-0208.Aiming at the problem that the control system filter in ship electric propulsion system is easy to diverge, this study adopted the Memory Attenuation Kalman Filter (MAKF) to design a direct torque controller for permanent magnet synchronous motor (PMSM). By detecting the voltage and current of the stator, this study achieved the direct observation of phase current, rotate speed and rotor position angle signal, and the indirect observation of torque and flux linkage via MAKF; this method can accurately and stably estimate information such as the rotate speed of the motor and the position of the rotor, and it has overcome the problem of Kalman Filter divergence. The simulation and test results showed that the state variables of the motor observed by this method were accurate, the maximum error of the transient state rotate speed estimation was only 8%; in terms of astable estimation error, the rotor position signal lag was only 0.04T; when the load torque changed suddenly, the motor ran steadily and responded quickly, showing good robustness and reliability.

Ultrahigh-intensity lasers (10$^{18}$-10$^{22}$W/cm$^{2}$) have opened up new perspectives in many fields of research and application [1-5]. By irradiating a thin foil, an ultrahigh accelerating field (10$^{12}$ V/m) can be formed and multi-MeV ions with unprecedentedly high intensity (10$^{10}$A/cm$^2$) in short time scale ($\sim$ps) are produced [6-14]. Such beams provide new options in radiography [15], high-yield neutron sources [16], high-energy-density-matter generation [17], and ion fast ignition [18,19]. An accurate understanding of the nonlinear behavior of beam transport in matter is crucial for all these applications. We report here the first experimental evidence of anomalous stopping of a laser-generated high-current proton beam in well-characterized dense ionized matter. The observed stopping power is one order of magnitude higher than single-particle slowing-down theory predictions. We attribute this phenomenon to collective effects where the intense beam drives an decelerating electric field approaching 1GV/m in the dense ionized matter. This finding will have considerable impact on the future path to inertial fusion energy., Comment: 8 pages, 4 figures

Genetic variation and phylogenetic relationships among 102 Jatropha curcas accessions from Asia, Africa, and the Americas were assessed using the internal transcribed spacer region of nuclear ribosomal DNA (nrDNA ITS). The average G+C content (65.04%) was considerably higher than the A+T (34.96%) content. The estimated genetic diversity revealed moderate genetic variation. The pairwise genetic divergences (GD) between haplotypes were evaluated and ranged from 0.000 to 0.017, suggesting a higher level of genetic differentiation in Mexican accessions than those of other regions. Phylogenetic relationships and intraspecific divergence were inferred by Bayesian inference (BI), maximum parsimony (MP), and median joining (MJ) network analysis and were generally resolved. The J. curcas accessions were consistently divided into three lineages, groups A, B, and C, which demonstrated distant geographical isolation and genetic divergence between American accessions and those from other regions. The MJ network analysis confirmed that Central America was the possible center of origin. The putative migration route suggested that J. curcas was distributed from Mexico or Brazil, via Cape Verde and then split into two routes. One route was dispersed to Spain, then migrated to China, eventually spreading to southeastern Asia, while the other route was dispersed to Africa, via Madagascar and migrated to China, later spreading to southeastern Asia.

Objective: to observe the effects of moxibustion on histomorphological changes of gastric mucosa, as well as on serum IL-6、IL-8、TNF-α，Hp IgG、CD3 +、CD4 +、CD8 + in helicobacter pylori (Hp) infected rats, so that to better understand how the moxibustion repairs the Hp- induced gastric mucosal injury. Methods: 40 SD rats were randomly assigned to four groups: group A (blank control), group B (Hp infection model), group C (moxibustion plus model), group D (electro-acupuncture plus model), 10 for each group. The “NaHCO3 plus Indometacin and Hp intragastric administration” method was employed to make gastritis model. Acupoints selected for “repair” purpose were Zu San Li (ST36), Zhong Wan (CV12), Guan Yuan (RN4), Pi Shu (BL20), Wei Shu(BL21). The histomorphological changes of gastric mucosa in rats were observed under light microscope after HE stain; IL-6, IL-8, TNF-α, Hp IgG values were evaluated by ELISA method; values of CD3 +、CD4 +、CD8 +、CD4 +/CD8 + were measured by flow cytometry method. Results: compared with group A, the values of IL-6, IL-8, TNF-α, Hp IgG and CD8 + in group B were increased（P＜0.01）, whereas the values of CD3 +、CD4 +、CD4 +/CD8 + were decreased（P＜0.01）. Compared with group B, the values of IL-8（P＜0.05）,TNF-α（P＜0.05）, IL-6（P＜0.01）, Hp IgG（P＜0.01） and CD8 + （P＜0.05） in group C were decreased, whereas the values of CD3 +（P＜0.05）,CD4 +（P＜0.05）,CD4 +/CD8 + （P＜0.05） were increased, meanwhile such values in group D had no significant changes. Compared with group D, the values of IL-6（P＜0.05）,IL-8 （P＜0.05）and Hp IgG （P＜0.01）in group C were decreased, whereas CD4 +/CD8 +（P＜0.05）were increased, all those changes had statistical significance. Conclusion: the preventive and therapeutic effects of moxibustion on Hp related gastritis might be realized by two ways- to inhibit the secretion of proinflammatory cytokines such as IL-6, IL-8 and TNF-α, or to regulate the production of immune factors (such as up-regulation of CD3 +, CD4 + and down-regulation of CD8 +).

With the development of information technology, automobile is moving from manually-controlled mechanical products to smarter system-controlled products. The paper talked about the change of the human-machine interaction and the corresponding smart information service design for autonomous vehicles. In particular, the paper analyzed what would happen on driver’s disappearance and the changes of the interior space, in particular, how to afford the transferring of multi-functions and sharing. Through the study of the relationships between people, vehicles, information and environment, the paper explored the possible contents of smart information service, interaction ways provided by driverless vehicles and solutions for other public services except for transportation.

Land consolidation is an important action to realize the reasonable disposition of land resource and enhance the land utilization efficiency in China. But as a regional reconstructive activity, there are inevitably directly or indirectly, positive or negative impacts on its regional ecological environment in land consolidation process. To minimize the negative impact of land consolidation, positive practices for ecological compensation was necessary. Taken a land consolidation project in Yujia and Qiaoting village in Wanzhou District of Chongqing as case, the ecological compensation measures and ecological effect was studied in this paper. The result show that compensation practices such as protecting the arable layer, building slope-terrace, taking stone as the raw material for channels, irrigation channel and drainage channel separately in channel design, adopting the mud-gravel road, and building culvert in the intersections of roads and channels can significantly reduce the negative ecological effect in the processes of land consolidation. So, the eco-design in land consolidation project can realize ecological compensation and also achieve the coordinated development of economy, ecology, and society.

We develop a theory of finite-time scaling for dynamic quantum criticality by considering the competition among an external time scale, an intrinsic reaction time scale and an imaginary time scale arising respectively from an external driving field, the fluctuations of the competing orders and thermal fluctuations. Through a successful application in determining the critical properties at zero temperature and the solution of real-time Lindblad master equation near a quantum critical point at nonzero temperatures, we show that finite-time scaling offers not only an amenable and systematic approach to detect the dynamic critical properties, but also a unified framework to understand and explore nonequilibrium dynamics of quantum criticality, which shows specificities for open systems., Comment: 5 pages, 4 figures