The MYB transcription factor RcMYB1 plays a central role in rose anthocyanin biosynthesis

Rose(Rosa hybrida)is one of most famous ornamental plants in the world,and its commodity value largely depends on its flower color.However,the regulatory mechanism underlying rose flower color is still unclear.In this study,we found that a key R2R3-MYB transcription factor,RcMYB1,plays a central role in rose anthocyanin biosynthesis.Overexpression of RcMYB1 significantly promoted anthocyanin accumulation in both white rose petals and tobacco leaves.In 35S:RcMYB1 transgenic lines,a significant accumulation of anthocyanins occurred in leaves and petioles.We further identified two MBW complexes(RcMYB1-RcBHLH42-RcTTG1;RcMYB1-RcEGL1-RcTTG1)associated with anthocyanin accumulation.Yeast one-hybrid and luciferase assays showed that RcMYB1 could active its own gene promoter and those of other EBGs(early anthocyanin biosynthesis genes)and LBGs(late anthocyanin biosynthesis genes).In addition,both of the MBW complexes enhanced the transcriptional activity of RcMYB1 and LBGs.Interestingly,our results also indicate that RcMYB1 is involved in the metabolic regulation of carotenoids and volatile aroma.In summary,we found that RcMYB1 widely participates in the transcriptional regulation of ABGs(anthocyanin biosynthesis genes),indicative of its central role in the regulation of anthocyanin accumulation in rose.Our results provide a theoretical basis for the further improvement of the flower color trait in rose by breeding or genetic modification.

Analogue Black Holes in Reactive Molecules

We show that reactive molecules with a unit probability of reaction naturally provide a simulator of some intriguing black hole physics.The unit reaction at the short distance acts as an event horizon and delivers a one-way traffic for matter waves passing through the potential barrier when two molecules interact by high partialwave scatterings or dipole-dipole interactions.In particular,the scattering rate as a function of the incident energy exhibits a thermal-like distribution near the maximum of the interaction energy in the same manner as a scalar field scatters with the potential barrier outside the event horizon of a black hole.Such a thermal-like scattering can be extracted from the temperature-dependent two-body loss rate measured in experiments on KRb and other molecules.

飞行器集群协同制导控制方法及应用研究

分析了目前多飞行器协同作战的发展现状与趋势,指出了多飞行器以编队形式进行协调与配合,可以有效提高突防概率与作战效能。针对飞行器集群协同制导控制技术,分析梳理了相关的技术难点。然后,分别对协同任务规划与动态目标分配方法和多飞行器编队协同控制方法、多约束条件下的分布式协同制导方法的国内外研究现状进行了介绍。最后对飞行器集群协同制导控制技术进行了总结,并对未来的发展方向进行了展望。

多临近空间拦截器编队拦截自主协同制导控制技术研究

分析了目前高超声速飞行器的发展现状和发展趋势,指出高超武器已经给现有的防空反导武器系统带来极大威胁和挑战。针对高超声速飞行器的拦截问题,分析梳理了相关的技术难点。为保证拦截成功,采用多枚拦截器编队拦截高超声速目标是目前高效可行的技术途径,而多临近空间拦截器自主协同制导控制技术则是关键技术。针对多临近空间拦截器编队攻击自主协同制导控制技术,分别从建模、决策规划、感知、制导、控制以及评估6个方面提出需要解决的关键技术问题。最后对多临近空间拦截器编队拦截自主协同制导控制技术进行了总结与展望。

多无人机协同控制方法及应用研究

多无人机集群作战是未来战争的重要形式。作为集群作战中的关键技术,协同控制有着极为广泛的应用,例如多无人机编队飞行、协同侦查与集群攻击等。简述了多无人机集群作战的发展历程,归纳了集群作战过程中的关键技术,给出了协同控制方法的分类与体系结构。然后,从编队控制、合围控制、跟踪控制3个方面,总结了近年来国内外关于协同控制方法的研究成果。重点介绍了编队控制中的四种典型方法及相关应用,分析了各类编队控制方法的优缺点。最后对多无人机协同控制方法的未来发展方向进行了展望。

Time-varying fault-tolerant formation tracking based cooperative control and guidance for multiple cruise missile systems under actuator failures and directed topologies

This paper studies time-varying fault-tolerant formation tracking problems for the multiple cruise missile system under directed topologies subjected to actuator failures. Firstly, the timevarying fault-tolerant formation tracking process for the multiple cruise missile system is divided into the guidance loop and the control loop. Then protocols are constructed to accomplish distributed fault-tolerant formation tracking in the guidance loop with the adaptive updating mechanism, in the condition where neither the knowledge about actuator malfunctions nor any global information of the communication topology remains available. Moreover, sufficient conditions to accomplish formation tracking are presented, and it is shown that the multiple cruise missile system can carry on the predefined time-varying fault-tolerant control (FTC) formation tracking through the active disturbances rejection controller (ADRC) and the proportion integration (PI) controller by the way of the fault-tolerant protocol utilizing the designed strategies, in the event of actuator failures. At last, numerical analysis and simulation are designed to verify the theoretical results.

Observed subsurface eddies near the Vietnam coast of the South China Sea

In this study, subsurface eddies near the Vietnam coast of the South China Sea were observed with in situ observations, including Argo, CTD, XBT and some processed and quality controlled data. Based on temperature profiles from four Argo floats near the coast of Vietnam, a subsurface warm eddy was identified in spring and summer. The multi-year Argo and Global Temperature and Salinity Profile Programme(GTSPP) data were merged on a seasonal basis based on the data interpolating variational analysis(DIVA) method to reconstruct the three-dimensional temperature structure. There is a warm eddy in the central subsurface at 12.5°N, 111°E below300 m depth in spring, which does not exist in autumn and is weak in winter and summer. From CSIRO Atlas of Regional Seas(CARS) and Generalized Digital Environment Model(GDEM) reanalysis data, this subsurface warm eddy is also verified in spring.

Essential Oil from Carpesium abrotanoides L.Induces Apoptosis via Activating Mitochondrial Pathway in Hepatocellular Carcinoma Cells

The effects of essential oil from Carpesium abrotanoides L.(CAEO)on the proliferation and apoptosis of human hepatic cancer cells were investigated in this study.MTT assays indicated that CAEO inhibited the proliferation of HCC cells with the IC50 values ranging from 41.28±3.06 to 130.36±20.79μg/mL.Moreover,many obviously nuclear morphological changes of apoptotic cells in CAEO-treated HepG2 cells were detected by Hoechst 33258staining and fluorescence microscopy.Flow cytometry was used to detect cell apoptosis and cell cycle,and noticeable findings showed that CAEO arrested cell-cycle at S and G2/M phases.The decreased Bcl-2/Bax protein ratio and the activation of caspase-3,caspase-9 were also detected by Western blotting.All results suggested that CAEO is a potential agent to fight against liver cancer,and the mitochondria-mediated intrinsic apoptotic pathway could be involved in CAEO-mediated apoptosis of human liver carcinoma cells.

Relationship between circulating irisin levels and overweight/obesity: A meta-analysis

BACKGROUND Currently, the findings about irisin as a novel myokine related to obesity are inconsistent in overweight/obese people. To our knowledge, no systematic analysis has been conducted to evaluate the relationship between irisin levels and overweight/obesity. AIM To evaluate the association between circulating irisin levels and overweight/obesity. METHODS The Cochrane Library, MEDLINE, SCOPUS, and the ISI Web of Science were searched to retrieve all of the studies associated with circulating irisin levels and overweight/obesity. Standard mean difference values and 95% confidence intervals (CI) were estimated and pooled using meta-analysis methodology. RESULTS A total of 18 studies were included in our meta-analysis containing 1005 cases and 1242 controls. Our analysis showed that the circulating irisin level in overweight/obese people was higher than that in overall healthy controls (random effects MD = 0.63;95%CI: 0.22-1.05;P = 0.003). In the subgroup analysis by ethnicity, the irisin level was higher in overweight/obesity people than that in controls in Africa (random effects MD = 3.41;95%CI: 1.23-5.59;P < 0.05) but not in European, Asian, or American populations. In addition, in a subgroup analysis by age, the results showed that obese children exhibited a higher irisin level than controls (random effects MD = 0.86;95%CI: 0.28-1.43;P < 0.05). CONCLUSION This meta-analysis provides evidence that circulating irisin is higher in obese individuals compared to healthy controls and it is important to identify the relationship between circulating irisin levels and overweight/obesity in predicting overweight/obesity.

Essential oil from Saussurea costus inhibits proliferation and migration of Eca109 cells via mitochondrial apoptosis and STAT3 signaling

Objective:To investigate the effect and its underlying molecular mechanisms of essential oil from Saussurea costus in esophageal cancer cell line Eca109.Methods:The chemical composition of essential oil from Saussurea costus was investigated by gas chromatography-mass spectrometry(GC-MS).The anti-proliferative,anti-migrative,and apoptotic effects of essential oil from Saussurea costus against Eca109 cells were analyzed.Moreover,the expression of proteins associated with cell cycle,metastasis,and apoptosis was determined.Results:GC-MS analysis showed that essential oil from Saussurea costus was predominantly comprised of sesquiterpenes.Saussurea costus essential oil inhibited the viability of Eca109 cells in a dose-and time-dependent manner with IC_(50) values of(24.29±1.49),(19.16±2.27)and(6.97±0.86)μg/mL at 12,24,and 48 h,respectively.The expression levels of target proteins in the cell cycle(phase G_(1)/S),including cyclin D1,p21,and p53,were affected by Saussurea costus essential oil.The essential oil also downregulated the expression of metastasis-related proteins MMP-9 and MMP-2.Moreover,it induced apoptosis of Eca109 cells through the mitochondrial pathway,as well as inhibition of STAT3 phosphorylation.Conclusions:The essential oil from Saussurea costus exhibited anti-proliferative,anti-migrative,and apoptotic effects on Eca109 cells,and could be further explored as a potential anti-esophageal cancer agent.

Fulde-Ferrell-Larkin-Ovchinnikov states in equally populated Fermi gases in a two-dimensional moving optical lattice

We study the possibility of stabilizing a Fulde-Ferrell-Larkin-Ovchinnikov(FFLO)state in an equally populated two-component Fermi gas trapped in a moving two-dimensional optical lattice.For a system with nearly half filling,we find that a finite pairing momentum perpendicular to the moving direction can be spontaneously induced for a proper choice of lattice velocity.As a result,the total pairing momentum is tilted towards the nesting vector to take advantage of the significant enhancement of the density of states.

Robust fault detection and diagnosis for uncertain nonlinear systems

This paper considers robust fault detection and diagnosis for input uncertain nonlinear systems. It proposes a multi-objective fault detection criterion so that the fault residual is sensitive to the fault but insensitive to the uncertainty as much as possible. Then the paper solves the proposed criterion by maximizing the smallest singular value of the transformation from faults to fault detection residuals while minimizing the largest singular value of the transformation from input uncertainty to the fault detection residuals. This method is applied to an aircraft which has a fault in the left elevator or rudder. The simulation results show the proposed method can detect the control surface failures rapidly and efficiently.

Evolving a Bayesian network model with information flow for time series interpolation of multiple ocean variables

Based on Bayesian network (BN) and information flow (IF),a new machine learning-based model named IFBN is put forward to interpolate missing time series of multiple ocean variables. An improved BN structural learning algorithm with IF is designed to mine causal relationships among ocean variables to build network structure. Nondirectional inference mechanism of BN is applied to achieve the synchronous interpolation of multiple missing time series. With the IFBN,all ocean variables are placed in a causal network visually,making full use of information about related variables to fill missing data. More importantly,the synchronous interpolation of multiple variables can avoid model retraining when interpolative objects change. Interpolation experiments show that IFBN has even better interpolation accuracy,effectiveness and stability than existing methods.

Prediction of candidate small non-coding RNAs inAgrobacterium by computational analysis

Small non-coding RNAs with important regulatory roles are not confined to eukaryotes. Recent work has uncovered a growing number of bacterial small RNAs （sRNAs）, some of which have been shown to regulate critical cellular processes. Computational approaches, in combination with molecular experiments, have played an important role in the identification of these sRNAs. At present, there is no information on the presence of small non-coding RNAs and their genes in the Agrobacterium tumefaciens genome. To identify potential sRNAs in this important bacterium, deep sequencing of the short RNA populations isolated from Agrobacterium tumefaciens C58 was carried out. From a data set of more than 10,000 short sequences, 16 candidate sRNAs have been tentatively identified based on computational analysis. All of these candidates can form stem-loop structures by RNA folding predictions and the majority of the secondary structures are rich in GC base-pairs：：Some are followed by a short stretch of U residues, indicative of a rho-independent transcription terminator, whereas some of the short RNAs are found in the stem region of the hairpin, indicative of eukaryotic-like sRNAs. Experimental strategies will need to be used to verify these candidates. The study of an expanded list of candidate sRNAs in Agrobacterium will allow a more complete understanding of the range of roles played by regulatory RNAs in prokaryotes.

An Improved Kriging Interpolation Technique Based on SVM and Its Recovery Experiment in Oceanic Missing Data

In Kriging interpolation, the types of variogram model are very finite, which make the variogram very difficult to describe the spatial distributional characteristics of true data. In order to overcome its shortage, an improved interpolation called Support Vector Machine-Kriging interpolation (SVM-Kriging) was proposed in this paper. The SVM-Kriging uses Least Square Support Vector Machine (LS-SVM) to fit the variogram, which needn’t select the basic variogram model and can directly get the optimal variogram of real interpolated field by using SVM to fit the variogram curve automatically. Based on GODAS data, by using the proposed SVM-Kriging and the general Kriging based on other traditional variogram models, the interpolation test was carried out and the interpolated results were analyzed contrastively. The test show that the variogram of SVM-Kriging can avoid the subjectivity of selecting the type of variogram models and the SVM-Kriging is better than the general Kriging based on other variogram model as a whole. Therefore, the SVM-Kriging is a good and adaptive interpolation method.

中厚板钢结构无气刨清根焊接技术

随着建筑行业的迅速发展,钢结构建筑的应用也愈加广泛。钢结构相比于传统的混凝土建筑拥有强度更高、抗震性更强,且可工厂化生产,现场安装等众多优点,不但减少了砂、石、水泥等的使用量,减轻对不再生资源的破坏,可有效地保护土地面积,保护环境,且钢结构具有可持续使用的优点;相比于木质建筑,钢结构在强度上更高,对环境的破坏远少于采用大量木质材料的木质建筑,未来随着医疗环境的愈加完善,人口会出现大量增长,未来的建筑必定是高楼的天下,钢结构建筑市场会更加广阔,而钢结构建筑中最为关键的就是它的焊接质量,随着钢结构市场的扩大,钢结构在保证质量的情况下,如何提升它的焊接速度便变得尤为重要了。本文提出了一种在保证焊接质量的情况下可以有效提高焊接速度的无气刨清根焊接技术。

不同参数电针对内源性阿片肽系统调节的量效关系

Endogenous opioid peptides(EOP)are the neurochemical basis of the anesthetic and analgesic effects of acupuncture,and the quantity of acupuncture stimulus can be controlled accurately by using electroacupuncture(EA).The present study explores the dose-effect relationship between EA with different parameters and the regulation of EOP system.In this paper,the intervention effects of EA on EOP system were specially discussed in terms of the single factor and the different combinations of the frequency,waveform and current intensity.This study shows that EOP system presents a frequency-response specificity.The low frequency of EA promotes the release of enkephalin,β-endorphin and endomorphin,the high one activates the dynorphin system selectively,and the intermediate frequency works on promoting the release of enkephalin andβ-endorphin,as well as dynorphin.Sparse-dense wave of EA may induce the release of enkephalin,β-endorphin,endomorphin and dynorphin,presenting a synergistic effect.However,the waveform of EA should be selected flexibly in clinical practice.Sometimes the better therapeutic effect can also be obtained with the continuous wave of EA.EOP system is involved in mediating appropriate intensity of EA,while the acupuncture effect generated by an extra strong EA stimulation refers to a kind of stress response of non-opioid mechanism.The different combinations of EA parameters result in various effects.The combination of EA parameters should be optimized in accordance with different diseases,which is valuable for guiding clinical practice and the development of EA therapy.

利用最小晶格错配和强有序效应发展超强金属材料

本文概括总结了传统超高强度钢的强韧化机制,针对2 GPa以上超高强度钢强韧性匹配不足、成本昂贵等突出问题,提出了最小化晶格错配和强有序效应以发展新型超强金属材料,并协同利用高密度共格粒子、高密度位错、弹性畸变中心等多重效应,克服传统共格析出强化合金低塑韧性问题,实现超高强度钢良好强韧性匹配.

C1M2:a universal algorithm for 3D instance segmentation,annotation,and quantification of irregular cells

Cell instance segmentation is a fundamental task for many biological applications,especially for packed cells in three-dimensional(3D)microscope images that can fully display cellular morphology.Image processing algorithms based on neural networks and feature engineering have enabled great progress in two-dimensional(2D)instance segmentation.However,current methods cannot achieve high segmentation accuracy for irregular cells in 3D images.In this study,we introduce a universal,morphology-based 3D instance segmentation algorithm called Crop Once Merge Twice(C1M2),which can segment cells from a wide range of image types and does not require nucleus images.C1M2 can be extended to quantify the fluorescence intensity of fluorescent proteins and antibodies and automatically annotate their expression levels in individual cells.Our results suggest that C1M2 can serve as a tissue cytometry for 3D histopathological assays by quantifying fluorescence intensity with spatial localization and morphological information.

战术导弹分层混合贝叶斯网络测试性建模和评价方法

针对复杂装备传统测试性建模和评价存在故障模式结构分层、信息不确定、数据容量小的问题,提出了分层混合贝叶斯网络测试性建模和评价方法。将测试性结构模型和测试性贝叶斯网络模型相结合,利用专家评分的先验知识与小样本测试数据的后验知识,在战术导弹全寿命周期内对装备测试性进行分析和评价。应用分层混合贝叶斯网络测试性建模方法建立复杂系统的测试性网络拓扑结构,解决了故障模式结构分层问题。引入三角模糊数算法获取专家知识,计算关于故障检测率的先验条件概率分布,解决了信息不确定问题。以历史测试数据作为后验条件,由贝叶斯公式更新故障检测率的概率分布,解决了数据容量小问题。仿真结果表明,与传统测试性建模和评价方法相比,分层混合贝叶斯网络测试性建模和评价方法既考虑了复杂装备的结构分层,又融合了先验知识和实际试验结果,并且实例验证所设计的测试性建模和评价方法是有效的。