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Background. With the continuous in-depth research of Chinese medicine constitution (tizhi) and the continuous expansion of cross research with new disciplines, internationalization will become the future trend of Chinese medicine constitution (tizhi). Translating the terms of Chinese medicine constitution (tizhi) into English is the first step for Chinese medicine constitution (tizhi) to go international. Language memes play an important role in information transmission in social interpersonal communication activities. The continuous replication and dissemination of translation memes make language spread and popularized. Because there is no fixed translation method at present, based on the particularity of Chinese medicine constitution (tizhi), we decided to use the Delphi method to complete the term translation research. Objective. The purpose of this study is to provide a standard and unified translation method for terms of traditional Chinese medicine (TCM) constitution with Chinese characteristics through the Delphi expert consultation strategy. Methods. Forward translation and expert consensus were conducted to complete this study. We sorted out the related terms of Chinese medicine constitution (tizhi) theory and invited an expert from the World Federation of Chinese Medicine Societies (WFCMS) to complete the initial forward translation. An expert of Chinese medicine constitution (tizhi) theory joined this process. Then, we invite relevant professionals to evaluate this translation version using the Delphi method. Results. Following a 3-round Delphi survey, the translation criteria of 61 (92.42%) terms were unified, and 5 terms resulted in no consensus and reached consensus on the translation method of Chinese medicine constitution (tizhi) theory. A major problem about how to translate “中医体质学” is identified. 25 experts participated in this study, and the drop-out rate is 0% in the 3-round Delphi survey. Translation challenges include the following: (1) translation methods of “Chinese medicine constitution (tizhi) theory”; (2) experts’ understanding deviation on the definitions of some terms. Conclusions. The average mode, full score ratio, standard deviation, coefficient of variation, and variation ratio of expert scores are analyzed. The diversity of regions and professional titles of experts shows that they have a high degree of authority. The scores of terms indicate the consistent of study results, so they can be used as a reference for the translation of Chinese medicine constitution (tizhi) theory.

Machining accuracy reliability as a key index of CNC machine tools is seriously influenced by the geometric and thermal errors. In the paper, a spindle unit thermal error modeling and machining accuracy reliability analysis method is proposed. By analyzing the heat generation mechanism, a thermal error model was developed to describe the thermal deformation of the electric spindle. Based on the immune algorithm (IA), the heat generation power and the heat transfer coefficient were optimized, and the thermal error was obtained by finite element thermal-mechanical coupling. By adopting the multi-body system theory (MBS), a dynamic machining accuracy model was put forward including the geometric and thermal errors. Based on the Latin hypercube sampling Monte Carlo method (LHSMC), a machining accuracy reliability analysis method was proposed to characterize the machining accuracy reliability considering the geometric and thermal errors. The method was employed to a machine tool, and the experimental results indicate the verification and superiority of the method.

The high-pressure rotor of aero-engine is assembled by numerous bolts under high manufacture precision. The connected structure is subjected to both axial force and transverse vibration during service, which may result in individual bolt loosen. In this study, the influence of bolt missing on the dynamic characteristics is analyzed by numerical simulation. A test rig capable of impact and frequency sweeping experiment under axial tension was constructed. The vibration response features in the simulation were then extracted. The loss function of the mean absolute error and the decision method of extreme gradient boosting were used to predict the bolt missing position. The results show that the proposed model can reach a prediction precision of more than 90%. Moreover, the coefficient of determination evaluation index of the prediction effect reaches 0.9, which is significantly higher than those of other conventional models such as multivariate linear regression and multivariate adaptive regression spliness.

To curb the pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), multiple platforms have been employed toward a safe and highly effective vaccine. Here, we develop a novel cell-based vaccine candidate, namely K562-S, by utilizing human cell K562 as a cellular carrier to display Spike (S) protein of SARS-CoV-2 on the membrane. Analogous to the traditional inactivated vaccine, K562-S cells can be propagated to a large scale by culturing and completely lose their viability after exposure to X-ray irradiation or formalin. We in turn demonstrated high immunogenicity of formalin-inactivated K562-S vaccine in both mouse and non-human primates and its protective efficacy in mice. In mice, immunization with inactivated K562-S vaccines can elicit potent neutralizing antibody (nAb) responses persisting longer than 5 months. We consequently showed in a hACE2 mouse model of SARS-CoV-2 infection that a two-shot vaccination with adjuvanted K562-S rendered greater than 3 log reduction in viral lung load and concomitant ameliorated lung pathology. Of importance, the administration of the same regimen in non-human primates was able to induce a neutralizing antibody titer averaging three-fold higher relative to human convalescent serum. These results together support the promise of K562-based, S-protein-expressing vaccines as a novel vaccination approach against SARS-CoV-2. Importantly, with a powerful capacity to carry external genes for cell-based vectors, this platform could rapidly generate two- and multiple-valent vaccines by incorporating SARS-CoV-2 mutants, SARS-CoV, or MERS-CoV.

A portable three-dimensional (3D) printed bionic sensing device with enhanced photoelectric response was fabricated for sensitive detection of Bisphenol A (BPA). The proposed sensor is operated upon by using a highly reactive dual-electrode system to generate electrical output and provide the sensing signal under photoirradiation, without an external power source. The fern-shaped nitrogen doped BiVO

The assembly of monomicelles along one-dimension (1D) to construct tubular or fibrous mesostructures is greatly desired but still challenging. Herein, we have demonstrated a facile strategy to synthesize 1D bimodal mesoporous metal oxides (e.g., WO3, WO3/Pd, WO3/PdCu, TiO2, and ZrO2) nanofibers (NFs) through assembling the organic-inorganic composite monomicelles in a beam stream generated via an electrospinning technique. This facile and repeatable methodology relies on the preparation of copolymer@metal-complex monomicelles in an anisotropic solution and oriented assembly of them in the beam stream by the selective evaporation of solvent. WO3 and its derivatives are chosen as the demo, which show a uniform continuous fibrous structure with dual mesopore sizes (∼4.0 and 7.6 nm) and large surface area (∼93.1 m2 g−1). Benefitting from the unique textual structure, gas sensors made by Pd-decorated mesoporous WO3 NFs display outstanding comprehensive sensing performance to ethylbenzene, including a high sensitivity (52.5), an ultralow detection limit (50 ppb), and fast response/recovery kinetics (11/16 s) as well as an outstanding selectivity, which render them promising for rapid environmental monitoring.

Dammann grating (DG) is a binary beam splitter. Traditional DG is pure solid and cannot be modulated for different working wavelength. We report a tunable multi-wavelength DG based on a liquid-solid hybrid structure. Two glass plates are bonded by UV adhesive strips, one has a periodic grooves structure made by photoresist, the other has two drilled holes as inlet and outlet, respectively. A microfluidic mixer connected the inlet mixes of two miscible liquids with different flow rates to adjust the refractive index of the mixed liquid entering DG from 1.351 to 1.473. In the experiment, the real-time tunability has shown the DG achieves well beam splitting effect when parameter N is integer, 7 × 7 light spots are arranged in order with good uniformity. For λ = 632.8 nm, spot size uniformity is about 78.38% and power uniformity is ∼71.01%. For λ = 532 nm, the spot size and power uniformity are about 77.17% and 64.32%, respectively. The experiment also demonstrates this DG’s suitability for near-infrared light. This work is the first study of tunable DG based on liquid-solid hybrid structure and possesses special merits as compared to its solid counterpart, such as simple fabrication, tunability and multi-wavelength applicability, which make it have an extensive prospect in optofluidic networks and optical devices.

The performance of photoelectrochemical (PEC) analysis system relies closely on the properties of the photoelectric electrodes. It is of great significance to integrate photoactive materials with flexible substrates to construct ultra-sensitive PEC sensors for practical application. This work reports a novel photoelectrode developed by immobilizing α-Fe

Varifocal lenses (especially large-aperture lenses), which are formed by two immiscible liquids based on electrowetting and dielectrophoretic effects, are usually modulated by an external high-voltage power source, with respect to the volume of the liquid. Hence, a Maxwell force-driven liquid lens with large aperture and low threshold voltage is proposed. With the polarization effect, the accumulated negative charges on the surface of the polyvinyl chloride/dibutyl adipate gel near the anode results in the generation of Maxwell force and deformation with cosine wave. The effect of surface roughness on wettability is linear with the cosine of the contact angle, leading to a sharp reduction in the threshold voltage when the volume of liquid is increased. When the volume of the droplet increases to 80 μl, the threshold voltage is about 10 V. Hence, the aperture of polarization effect-driven liquid lenses can potentially reach the centimeter level. Moreover, when Maxwell force increases, the lens ranges from concave to convex lens, which holds great promise in rich application such as those in light-sheet microscopes and virtual reality systems.

Vaccinia virus was used to prevent smallpox. After the World Health Organization declared smallpox extinct, vaccinia virus has been explored for the development of vaccines against a variety of infectious diseases. It also finds a new place in oncolytic therapy. Here we provide a brief review of the history, current status, and future prospect of vaccinia virus-based vaccine and oncolytic virus. New advancements, including a single vaccine targeting multiple viruses, strategies of arming vaccinia viruses to enhance anti-tumor activity, the promise and challenge of combining vaccinia-based virotherapy with immunotherapy, are discussed as special focus.

Reconfigurable scan networks (RSNs), like IEEE Std. 1687 networks, offer flexible and scalable access to embedded (on- chip) instruments. These networks are typically accessed from the outside via a dedicated test port, like the test access port (TAP) of IEEE Std. 1149.1. As not all integrated circuits have a dedicated test port, the IEEE Std. P1687.1 working group is exploring how existing functional ports can be used. Fundamental challenges are to determine what hardware to include in the component translating information between a functional port and an IEEE Std. 1687 network and to describe a protocol for the data transported over a functional interface. We have previously shown hardware and protocol to access a limited type of IEEE Std. 1687 networks, known as flat segment insertion bit (SIB)-based networks. In this paper, we present a solution to handle general IEEE Std. 1687 networks. We have made a number of implementations with various benchmarks on an FPGA to evaluate the data overhead and the area usage. (Less)

Grain size is an important agronomic trait determines yield in barley, and a high-density genetic map is helpful to accurately detect quantitative trait loci (QTLs) related to grain traits. Using specific-locus amplified fragment sequencing (SLAF-seq) technology, a high-density genetic map was constructed with a population of 134 recombinant inbred lines (RILs) deriving from a cross between Golden Promise (GP) and H602, which contained 12,635 SLAFs with 26,693 SNPs, and spanned 896.74 cM with an average interval of 0.07 cM on seven chromosomes. Based on the map, a total of 16 QTLs for grain length (GL), grain width and thousand-grain weight were detected on 1H, 2H, 4H, 5H, and 6H. Among them, a major QTL locusqGL1, accounting for the max phenotypic variance of 16.7% was located on 1H, which is a new unreported QTL affecting GL. In addition, the other two QTLs,qGL5andqTGW5, accounting for the max phenotypic variances of 20.7 and 21.1%, respectively, were identified in the same region, and sequencing results showed they are identical toHvDep1gene. These results indicate that it is a feasible approach to construct a high-quality genetic map for QTL mapping by using SLAF markers, and the detected major QTLsqGL1,qGL5, andqTGW5are useful for marker-assisted selection (MAS) of grain size in barley breeding.

Facile, convenient and low-cost processes, including a chemical hydrothermal method and impregnation technique, were demonstrated to fabricate a self-powered ZnO nanorod array/CuSCN/reduced graphene oxide (rGO) ultraviolet photodetector. ZnO nanorods (NRs) were fully filled and encased by the CuSCN layer, in which CuSCN acts as the primary hole-transport layer and an electron reflection layer, blocking the electron transfer towards the Au electrode and reducing the electron–hole pair recombination. After annealing, this encapsulated structure further reduces the surface state defects of ZnO NRs, which can isolate the electron exchange with oxygen in the air, dramatically reducing the rise and fall time; it also forms a p–n junction, providing a built-in electric field to improve the photoresponse without applying external power. The rGO layer was coated on the surface of CuSCN as the secondary hole-transport layer and then annealed, which could effectively block Au from entering CuSCN and contacting ZnO along cracks and holes during vapor deposition, avoiding the formation of leakage channels. Furthermore, due to the ultra-high carrier mobility and the increase in work function after Au doping, the functionalized graphene could reduce the valence band shift, which is beneficial to enhance hole transport. Meanwhile, rGO obstructs the undesired barrier formed by electrical potential-induced reaction of Au with thiocyanate anions. Finally, the ZnO NR/CuSCN/rGO ultraviolet photodetector exhibits a significant enhancement in device performance (responsivity: 18.65 mA W−1 at 375 nm under 65 mW cm−2 illumination, rectification ratio: 5690 at ±1 V), which is better that of than ZnO NR/CuSCN structure (10.88 mA W−1, 10.22 at ±1 V) and maintains the 100 ms response time.

Adenosine triphosphate-binding cassette transporters (ABC transporters) participate in various plant growth and abiotic stress responses. In the present study, 131 ABC genes in barley were systematically identified using bioinformatics. Based on the classification method of the family in rice, these members were classified into eight subfamilies (ABCA&ndash, ABCG, ABCI). The conserved domain, amino acid composition, physicochemical properties, chromosome distribution, and tissue expression of these genes were predicted and analyzed. The results showed that the characteristic motifs of the barley ABC genes were highly conserved and there were great diversities in the homology of the transmembrane domain, the number of exons, amino acid length, and the molecular weight, whereas the span of the isoelectric point was small. Tissue expression profile analysis suggested that ABC genes possess non-tissue specificity. Ultimately, 15 differentially expressed genes exhibited diverse expression responses to stress treatments including drought, cadmium, and salt stress, indicating that the ABCB and ABCG subfamilies function in the response to abiotic stress in barley.

Background: Cuticular wax is a type of lipid covering the surface of plants, which is directly related to crop stress resistance. Thus, it is important to study wax-related genes and their regulatory mechanism in wax biosynthesis pathway for improving stress resistance.Results: In this study, a wax-deficient barley mutant barley cuticular wax1（bcw1）was identified, and genetic analysis indicated that the trait was controlled by a single recessive nuclear gene. Phenotype observations showed that the tubule-shaped waxy crystals covering the sheath and stem epidermis of mutants disappeared, but there was no significant differences were detected in the leaf epidermis between mutant and wild type. Water loss data confirmed that the cuticular waxes and cutins improved plant resistance to drought stress. By combining the bulk segregant analysis (BSA) and specific locus amplified fragment sequencing (SLAF-seq) strategy, the wax-related gene BCW1 was located on chromosome 2 with a total length of 15.10 Mb. No cuticular wax-related genes have been reported in the regions, indicating that BCW1 is a novel gene that plays roles in cuticular wax biosynthesis and wax crystals formation.Conclusions: The research showed that mutation of BCW1 did not affect the crystal shape or cutin formation outside the leaf surfaces, but decreased the wax and cutin accumulation outside stems and sheaths. Therefore, our work provides the basis for the cloning of BCW1 and studying of the crystal self-assembly mechanism.

The performance of photoelectrochemical (PEC) analysis system relies closely on the properties of the photoelectric electrodes. It is of great significance to integrate photoactive materials with flexible substrates to construct ultra-sensitive PEC sensors for practical application. This work reports a novel photoelectrode developed by immobilizing α-Fe2O3 nanoparticles (NPs)/defect-rich carbon nitride (d-C3N4), an excellent Z-scheme heterojunction photoelectric material, onto three-dimensional (3D) flexible carbon fiber textile. Specifically, 3D hierarchical structure of flexible carbon fiber textile provides larger specific surface area and higher mechanical strength than traditional electrodes, resulting in more reaction sites and faster reaction kinetics to achieve signal amplification. Simultaneously, α-Fe2O3/d-C3N4 Z-scheme heterojunction exhibits enhanced light absorption capability and high redox ability, thus dramatically improving the PEC performance. This photoelectrode was used to construct a flexible PEC aptasensor for ultrasensitive detection of penbritin, demonstrating excellent performance in terms of wide linear range (0.5 pM–50 nM), low detection limit (0.0125 pM) and high stability. The design principle is applicable to the manufacture of other photoelectric sensing systems, which provides an avenue for the development of portable environmental analysis and field diagnostics equipment.

Fault tolerance techniques are of vital importance to promise data reliability for mobile distributed system. In mobile environments, nodes suffer from high failure probability and fluctuating bandwidth. Thus, traditional fault tolerance techniques are no longer suitable. In this paper, we present a replica prioritized hybrid fault tolerance strategy combining erasure codes and replicas for a mobile distributed system (MobileRE), to guarantee data reliability with dynamic network status. In MobileRE, we first formulate a reliability cost rate to indicate the cost of ensuring data reliability of the mobile system. MobileRE further adaptively applies the erasure codes and replicas algorithms based on real-time network bandwidth status to minimize system reliability cost rate. MobileRE also obtains the optimal reliability cost rate by customizing redundant configuration parameters. The numerical and simulation results verify the effectiveness of the proposed schemes, and show that compared with traditional designs that only adopt erasure codes or replicas, MobileRE can significantly reduce the system reliability cost rate.

Accuracy design constitutes an important role in machine tool designing. It is used to determine the permissible level of each error parameter of a machine tool, so that any criterion can be optimized. Geometric, thermal-induced, and cutting force-induced errors are responsible for a large number of comprehensive errors of a machine tool. These errors not only influence the machining accuracy but are also of great importance for accuracy design to be performed. The aim of this paper is the proposal of a general approach that simultaneously considered geometric, thermal-induced, and cutting force-induced errors, in order for machine tool errors to be allocated. By homogeneous transformation matrix (HTM) application, a comprehensive error model was developed for the machining accuracy of a machine tool to be acquired. In addition, a generalized radial basis function (RBF) neural network modeling method was used in order for a thermal and cutting force-induced error model to be established. Based on the comprehensive error model, the importance sampling method was applied for the reliability and sensitivity analysis of the machine tool to be conducted, and two mathematical models were presented. The first model predicted the reliability of the machine tool, whereas the second was used to identify and optimize the error parameters with larger effect on the reliability. The permissible level of each geometric error parameter can therefore be determined, whereas the reliability met the design requirement and the cost of this machining was optimized. An experiment was conducted on a five-axis machine tool, and the results confirmed the proposed approach being able to display the accuracy design of the machine tool.

Machining accuracy reliability is considered to be one of the most important indexes in the process of performance evaluation and optimization design of the machine tools. Geometric errors, thermal errors and tool wear are the main factors to affect the machining accuracy and so affect the machining accuracy reliability of machine tools. This paper proposed a geometric error budget method that simultaneously considers geometric errors, thermal errors and tool wear to improve the machining accuracy reliability of machine tools. Homogeneous transformation matrices, neural fuzzy control theory and a tool wear predictive approach were employed to develop a comprehensive error model, which shows the influence of the geometric, thermal errors and tool wear to the machining accuracy of a machine tool. Based on Rackwite---Fiessler and Advanced First Order and Second Moment, a reliability model and a sensitivity model were put forward, which can deal with the errors of a machine tool drawn from any distribution. Then, a geometric error budget method of multi-axis NC machine tool was developed and formed into a mathematical model. In such method, the minimum cost of machine tool was the optimization objective, the reliability of the machining accuracy was the constraint, and the sensitivity was to identify the geometric errors to be optimized. An example conducted on a five-axis NC machine tool was used to explain and validate the proposed method.

Geometric errors are of great influence to the machining accuracy of machine tools, so they should be given special consideration in the design of machine tools. This paper proposes an approach for error allocation of machine tools. Based on D-H and Monte Carlo simulation (MCS), the reliability and sensitivity analysis were formed into two mathematics models to calculate the machining accuracy reliability and identify the error parameters which have larger influence to the machining accuracy reliability respectively. The proposed approach was performed on a heavy-duty CNC machine tool, and then it was verified by an experiment.

Paclitaxel is a drug within one of the most promising classes of anticancer agents. Unfortunately, clinical success of this drug has been limited by the insurgence of cellular resistance. To address this, Paclitaxel resistance was modeled in an in vitro system using estrogen treated prostate cancer cells. This study demonstrates that emerging resistance to clinically relevant doses of Paclitaxel is associated with 17-β-estradiol (E2) treatment in PC-3 cells, but not in LNCaP cells. We found that small interfering RNA mediated knockdown of ERα lead to a decrease in E2 induced Paclitaxel resistance in androgen-independent cells. We also showed that ERα mediated the effects of estrogen, thereby suppressing androgen-independent cell proliferation and mediating Paclitaxel resistance. Furthermore, E2 promoted Prohibitin (PHB) mitochondrial-nucleus translocation via directly mediation of ERα, leading to an inhibition of cellular proliferation by PHB. Additionally, restoration of Paclitaxel sensitivity by ERα knockdown could be overcome by PHB overexpression and, conversely, PHB knockdown decreased E2 induced Paclitaxel resistance. These findings demonstrate that PHB lies downstream of ERα and mediates estrogen-dependent Paclitaxel resistance signaling cascades.