Dynamic geomorphology and storm response characteristics of the promontory-straight beach-a case of Gulei Beach, Fujian

As one of the main areas of tropical storm action in the northwestern Pacific Ocean,South China experiences several typhoons each year,and coastal erosion is a problem,making the area a natural testing ground for studying the dynamic geomorphological processes and storm response of promontory-straight coasts.This study is based on three years of topographic data and remote sensing imagery of Gulei Beach and uses topographic profile morphology,single width erosion-accretion and mean change,combined with the Coastsat model to quantify the seasonal and interannual variability and storm response of the beach and to explain the evolution of shoreline change and beach dynamics geomorphology in the last decade.Gulei Beach has been in a state of overall erosion and local accretion for a long time,with relatively obvious cyclical changes;seasonal changes are also obvious,which are mainly characterized by summer accretion and winter erosion,with accretion at the top of the bay and accretion and erosion on the north and south sides of the bay corner,respectively;the seasonal erosion-accretion volume of the beach profile ranges from-80 m3/m to 95.52 m3/m,and the interannual erosion-accretion volume ranges from-69.09 m3/m to 87.31 m3/m.The response of beaches to typhoons with different paths varies greatly depending on the length,slope,orientation and scale of beach development.The large and gently developing Futou beach is less responsive to storms,while the less developed headlands in the southern Gulei Peninsula are more susceptible to disturbance by external factors and respond more strongly to typhoons.Storm distance is more influential than storm intensity.Under the influence of human activities,obvious erosion hotspots develop during normal weather,but storm processes produce redistribution of beach material patterns,and erosion hotspots disappear after storms.The results of this study enrich the theory of beach dynamics geomorphology and provide technical support for disaster prevention and mitigation,as well as ecological restoration of coastal zones.

An approximate analytical model for unconventional reservoir considering variable matrix blocks and simultaneous matrix depletion

In regard to unconventional oil reservoirs,the transient dual-porosity and triple-porosity models have been adopted to describe the fluid flow in the complex fracture network.It has been proven to cause inaccurate production evaluations because of the absence of matrix-macrofracture communication.In addition,most of the existing models are solved analytically based on Laplace transform and numerical inversion.Hence,an approximate analytical solution is derived directly in real-time space considering variable matrix blocks and simultaneous matrix depletion.To simplify the derivation,the simultaneous matrix depletion is divided into two parts:one part feeding the macrofractures and the other part feeding the microfractures.Then,a series of partial differential equations(PDEs)describing the transient flow and boundary conditions are constructed and solved analytically by integration.Finally,a relationship between oil rate and production time in real-time space is obtained.The new model is verified against classical analytical models.When the microfracture system and matrix-macrofracture communication is neglected,the result of the new model agrees with those obtained with the dual-porosity and triple-porosity model,respectively.Certainly,the new model also has an excellent agreement with the numerical model.The model is then applied to two actual tight oil wells completed in western Canada sedimentary basin.After identifying the flow regime,the solution suitably matches the field production data,and the model parameters are determined.Through these output parameters,we can accurately forecast the production and even estimate the petrophysical properties.

Mediating effect of resilience on the relationship between rumination and suicide attempts in Chinese adolescents with mood disorders

To the editor:Mood disorders(MD)are serious mental illnesses that commonly affect adolescents,leading to a high incidence of suicidal behaviour.1 In China,the suicide attempt(SA)rate for adolescents with MD is 51.96%,2 and over 500000 adolescent SA are reported annually in the USA due to depression.3 Risk factors for SA include gender,hormone levels,family conflict and,particularly,negative cognitive styles such as rumination.

Regulatory effects of anandamide on intracellular Ca^(2+) concentration increase in trigeminal ganglion neurons

Activation of cannabinoid receptor type 1 on presynaptic neurons is postulated to suppress neu- ~ ~ ~ 2＋ ~ ~ 2＋ rotransmlsslon by decreasing Ca reflux through high voltage-gated Ca channels. However, recent studies suggest that cannabinoids which activate cannabinoid receptor type 1 can increase neurotransmitter release by enhancing Ca2＋ influx in vitro. The aim of the present study was to investigate the modulation of intracellular Ca2＋ concentration by the cannabinoid receptor type 1 agonist anandamide, and its underlying mechanisms. Using whole cell voltage-damp and calcium imaging in cultured trigeminal ganglion neurons, we found that anandamide directly caused Ca2＋ influx in a dose-dependent manner, which then triggered an increase of intracellular Ca2＋ concentration. The cyclic adenosine and guanosine monophosphate-dependent protein kinase systems, but not the protein kinase C system, were involved in the increased intracellular Ca2＋concentration by anandamide. This result showed that anandamide increased intracellu- lar Ca2＋ concentration and inhibited high voltage-gated Ca2＋ channels through different signal transduction pathways.

含β"-Mg_(5)Si_(6)相Al-Mg-Si合金深冷环境强塑双增原子级机理

采用分子动力学方法研究β"-Mg_(5)Si_(6)析出相体积分数及深冷温度对Al-Mg-Si合金纳米力学特性的影响。模拟结果表明,与纯Al的峰值应力相比,当温度为77 K、β″析出相体积分数为0.107时,Al-Mg-Si合金的峰值应力提高97.05%。当β″析出相体积分数为0.107时,与300 K下样品的峰值应力相比,在27 K下该样品的峰值应力可提高23.55%。研究结果表明,深冷环境有助于提高总位错密度,使样品能够承受更大的应力,这为含β″相的Al-Mg-Si合金提供额外强度和韧性。降低温度可以明显抑制孔洞的萌生和生长(生长率27 K时下降88.5%),从而提高Al-Mg-Si合金的塑性。

Sediment source-to-sink process variations of sandy-muddy transitional beaches and their morphological indications

The clay mineralogy of 28 sandy-muddy transitional beach(SMT-Beach)sediments and surrounding mountain river sediments along the coasts of southeastern China was systematically investigated to reveal the sediment source-to-sink process variations of such beaches and their morphological indications.The results show that the clay mineral assemblages of these SMT-Beaches mainly comprise of almost equal illite(~30%),kaolinite(~28%),chlorite(~22%),and smectite(~20%)contents.From the surrounding mountain rivers to the SMT-Beaches,clay mineral assemblages show distinct spatial changes characterized by a large decrease(~40%)in kaolinite,whereas the other three clay minerals present relative increases,especially clear for smectite.The muddy sediment sources of SMT-Beaches inferred from the clay mineralogy are mainly derived from nearby mountain rivers coupled with long-distance transport and penetration of the Changjiang River.The sandy sediments of these beaches are predominantly sourced from nearby mountain rivers,the weathering products of surrounding rocks in both mainland and island environments,and erosion of the“Old Red Sand”and“Red Soil Platform”.However,the sandy sediment sources of the SMT-Beaches are largely reduced because of the remarkable decrease in the river fluvial supply associated with intensive human activities such as dam construction and coastal reclamation.Subsequently,the sandy sections of SMT-Beaches present clear erosion and have revealed by both time series remote sensing images and a compilation of published literature.In contrast,the muddy sediment supply of SMT-Beaches is temporarily stable and relatively constant,resulting in the landward migration of the mudflats with relative transgression or accumulation.These findings highlight that the natural evolution processes of SMT-Beaches have been greatly reshaped by intensive human activities.

Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques

The accurate prediction of the strength of rocks after high-temperature treatment is important for the safety maintenance of rock in deep underground engineering.Five machine learning(ML)techniques were adopted in this study,i.e.back propagation neural network(BPNN),AdaBoost-based classification and regression tree(AdaBoost-CART),support vector machine(SVM),K-nearest neighbor(KNN),and radial basis function neural network(RBFNN).A total of 351 data points with seven input parameters(i.e.diameter and height of specimen,density,temperature,confining pressure,crack damage stress and elastic modulus)and one output parameter(triaxial compressive strength)were utilized.The root mean square error(RMSE),mean absolute error(MAE)and correlation coefficient(R)were used to evaluate the prediction performance of the five ML models.The results demonstrated that the BPNN shows a better prediction performance than the other models with RMSE,MAE and R values on the testing dataset of 15.4 MPa,11.03 MPa and 0.9921,respectively.The results indicated that the ML techniques are effective for accurately predicting the triaxial compressive strength of rocks after different high-temperature treatments.

空间级硅橡胶涂层抗原子氧性能及评价机制

文中针对硅橡胶与原子氧的反应机理尚未完全掌握,其防护效果未完全明确的现状,开展原子氧效应地面模拟试验,进行硅橡胶涂层的抗原子氧性能的评价分析。经对试验前后的样品进行外观、质量损失、表观形貌、表面成分及光学性能的测试,系统评价了空间级硅橡胶的原子氧防护效果。在分别接受累积通量为4.9×1018 cm-2和1.2×1021 cm-2的原子氧暴露试验后,空间级硅橡胶涂层的质量损失并未随原子氧暴露时间延长和累计通量的增加而变大,但涂层表面的外观和光学性能发生了显著变化,经扫描电镜检测,涂层表面出现不同程度的开裂,经X射线光电子能谱仪分析,涂层表面生成了一层类似SiO2的薄膜,该薄膜层能阻止原子氧与硅橡胶涂层的反应从而对基底材料形成保护,但为了进一步提高其抗原子氧侵蚀能力,需对涂层进行补强改性,并且采用测量质量损失的手段来评判硅橡胶类材料受原子氧侵蚀程度的方法不甚科学。

大气稳定性对风力机尾流影响的数值模拟

基于Park模型尾流区线性膨胀假设和涡黏性模型对尾流区径向风度呈高斯分布假设,提出了一种ParkGauss新模型,对单台风机尾流进行数值模拟.为了进一步提高模型精度,对初始尾流半径进行了修正.基于ParkGauss模型,研究了大气稳定性对风力机尾流的影响.通过理论与试验结果对比分析结果表明:文中提出的ParkGauss模型对尾流区风速模拟取得较好的效果;不稳定大气条件尾流区风速恢复快,与试验结果最接近;稳定大气条件下尾流风速恢复慢,风速低于试验结果;中性大气条件介于二者之间,风速略低于试验结果.

不同侧压力系数条件下爆破扰动诱发巷道渐进破裂过程

采用实验和数值模拟相结合的方法研究静应力和爆破扰动所诱发的巷道围岩渐进破裂过程。研究结果表明:围岩的损伤程度由静应力加载和爆破动力扰动的双重作用所致,不同侧压力系数条件下静应力加载和爆破动载扰动条件下巷道围岩损伤破坏具有明显的差异性。初始应力条件控制着巷道围岩破坏区域的分布特征,爆破扰动会加剧巷道围岩的损伤深度和失稳破坏速度。垂向和水平静应力差值越大,爆破扰动造成的巷道损伤程度越大。爆破结束后,声发射活动性在较短的时间内恢复到稳定状态,且符合幂律衰减规律。

An R2R3-type transcription factor gene AtMYB59 regulates root growth and cell cycle progression in Arabidopsis

MYB 蛋白质在真核细胞的有机体起重要作用。在植物， R1R2R3 类型 MYB 蛋白质在房间周期控制工作。然而， R2R3 类型 MYB 蛋白质是否也涉及房间部门过程，仍然保持未知。这里，我们报导那 R2R3 类型抄写因素基因， AtMYB59，涉及房间周期前进和根生长的规定。AtMYB59 蛋白质在洋葱的原子核是局部性的表皮的房间并且 transactivation 活动。在酵母房间的 AtMYB59 的表示压制房间增长，和 transformants 与更长的房间有更多的原子核和更高的 aneuploid DNA 内容。在 AtMYB59 的保存领域的变化在酵母细胞生长上废除它的效果。在同步 Arabidopsis 房间暂停， AtMYB59 基因明确地在房间周期前进期间在 S 阶段被表示。表示和 promoter-GUS 分析表明 AtMYB59 基因富有地在根被表示。转基因的植物 overexpressing AtMYB59 更短的根与野类型的植物(Arabidopsis 就职 Col-0 ) 相比，并且在在根尖端的有丝分裂的房间的一半附近在中期。相反地，空变异的 myb59-1 比关口在中期让更长的根和更少有丝分裂的房间，建议那 AtMYB59 可以由扩大有丝分裂的房间的中期禁止根生长。AtMYB59 调整许多下游的基因，包括 CYCB1； 1 基因，可能通过到 MYB 应答的元素的绑定。这些结果在细胞周期规定和植物根生长为 AtMYB59 支持一个角色。

Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems——An Overview

Permanent magnet synchronous motors(PMSMs)have been widely employed in the industry. Finite-control-set model predictive control(FCS-MPC), as an advanced control scheme, has been developed and applied to improve the performance and efficiency of the holistic PMSM drive systems. Based on the three elements of model predictive control, this paper provides an overview of the superiority of the FCS-MPC control scheme and its shortcomings in current applications. The problems of parameter mismatch, computational burden, and unfixed switching frequency are summarized. Moreover, other performance improvement schemes, such as the multi-vector application strategy, delay compensation scheme, and weight factor adjustment, are reviewed. Finally, future trends in this field is discussed, and several promising research topics are highlighted.

The APETALA2 homolog CaFFN regulates flowering time in pepper

Flowering time is an important agronomic trait that contributes to fitness in plants.However,the genetic basis of flowering time has not been extensively studied in pepper.To understand the genetics underlying flowering time,we constructed an F 2 population by crossing a spontaneous early flowering mutant and a late-flowering pepper line.Using bulked segregant RNA-seq,a major locus controlling flowering time in this population was mapped to the end of chromosome 2.An APETALA2(AP2)homolog(CaFFN)cosegregated with flowering time in 297 individuals of the F 2 population.A comparison between the parents revealed a naturally occurring rare SNP(SNP2T>C)that resulted in the loss of a start codon in CaFFN in the early flowering mutant.Transgenic Nicotiana benthamiana plants with high CaFFN expression exhibited a delay in flowering time and floral patterning defects.On the other hand,pepper plants with CaFFN silencing flowered early.Therefore,the CaFFN gene acts as a flowering repressor in pepper.CaFFN may function as a transcriptional activator to activate the expression of CaAGL15 and miR156e and as a transcriptional repressor to repress the expression of CaAG,CaAP1,CaSEP3,CaSOC1,and miR172b based on a qRT-PCR assay.Direct activation of CaAGL15 by CaFFN was detected using yeast one-hybrid and dual-luciferase reporter assays,consistent with the hypothesis that CaFFN regulates flowering time.Moreover,the CaFFN gene association analysis revealed a significant association with flowering time in a natural pepper population,indicating that the CaFFN gene has a broad effect on flowering time in pepper.Finally,the phylogeny,evolutionary expansion and expression patterns of CaFFN/AP2 homologs were analyzed to provide valuable insight into CaFFN.This study increases our understanding of the involvement of CaFFN in controlling flowering time in pepper,thus making CaFFN a target gene for breeding early maturing pepper.

高压油泵在流固耦合作用下的结构强度分析（英文）

A high pressure oil pump has the advantages of compact structure, high working pressure, and it canstill maintain a high efficiency when it is working, so it is very important to analyze its structural strength. A high-pressure diesel monomer pump is the research object, it is using the finite element software Hypermesh to do thepretreatment of the finite element model, then using Fluent software to analysis the fluid finite element modelwhen it pumped oil to obtain the distribution of oil pressure in the process of pumping oil. And then it is usingAbaqus software to analyze the strength of the related components of the model through mapping oil pressure at thetime of the maximum oil pressure distribution to the model by the structure finite element interpolation, so it canobtain the stress distribution of each component. According to this coupling method to analyze the structuralstrength of high pressure oil pump, it provided the better guidance and reference for the design and optimization ofhigh pressure oil pump.

Two-vector Dimensionless Model Predictive Control of PMSM Drives Based on Fuzzy Decision Making

Model predictive controls(MPCs) with the merits of non-linear multi-variable control can achieve better performance than other commonly used control methods for permanent magnet synchronous motor(PMSM) drives.However,the conventional MPCs have various issues,including unsatisfactory steady-state performance,variable switching frequency,and difficult selection of appropriate weighting factors.This paper proposes two different improved MPC methods to deal with these issues.One method is the two-vector dimensionless model predictive torque control(MPTC).Two cost functions(torque and flux) and fuzzy decision-making are used to eliminate the weighting factor and select the first optimum vector.The torque cost function selects a second vector whose duty cycle is determined based on the torque error.The other method is the two-vector dimensionless model predictive current control(MPCC).The first vector is selected the same as in the conventional MPC method.Two separate current cost functions and fuzzy decision-making are used to select the second vector whose duty cycle is determined based on the current error.Both proposed methods utilize the space vector PWM modulator to regulate the switching frequency.Numerical simulation results show that the proposed methods have better steady-state and transient performances than the conventional MPCs and other existing improved MPCs.

Electromagnetic Performance Analysis of Flux-Switching Permanent Magnet Tubular Machine with Hybrid Cores

The performance of traditional flux switching permanent magnet tubular machine(FSPMTM)are improved by using new material and structure in this paper.The existing silicon steel sheet making for all mover cores or part of stator cores are replaced by soft magnetic composite(SMC)cores,and the lamination direction of the silicon steel sheet in stator cores have be changed.The eddy current loss of the machine with hybrid cores will be reduced greatly as the magnetic flux will not pass through the silicon steel sheet vertically.In order to reduce the influence of end effect,the unequal stator width design method is proposed.With the new design,the symmetry of the permanent magnet flux linkage has been improved greatly and the cogging force caused by the end effect has been reduced.Both 2-D and 3-D finite element methods(FEM)are applied for the quantitative analysis.

System-L evel Efficiency Optimization of a Linear Induction Motor Drive System

Linear induction motors are superior to rotary induction motors in direct drive systems because they can generate direct forward thrust force independent of mechanical transmission.However,due to the large air gap and cut-open magnetic circuit,their efficiency and power factor are quite low,which limit their application in high power drive systems.To attempt this challenge,this work presents a system-level optimization method for a single-sided linear induction motor drive system.Not only the motor but also the control system is included in the analysis.A system-level optimization method is employed to gain optimal steady-state and dynamic performances.To validate the effectiveness of the proposed optimization method,experimental results on a linear induction motor drive are presented and discussed.

Development of a New Flux Switching Transverse Flux Machine with the Ability of Linear Motion

This paper proposes a new rotary flux switching transverse flux machine with the ability of linear motion(FSTFMaLM),in which both the stator and the rotor cores are made by using soft magnetic composite(SMC)materials.With the special design pattern,for the rotary motion model,the proposed machine can combine both the advantages of the flux switching permanent magnet machine(FSPMM)and the transverse flux machine(TFM).It can output with relatively high torque density,and as there is no windings or the magnets on the rotor cores,the proposed machine can operate in the high speed region to improve the output power.With the adoption of the SMC materials,the manufacturing of this machine can be quite easy.By stacking the rotor core together and prolong it with the determined length in the axial direction,in addition with the special control algorithm,the proposed machine can have the ability of the linear motion.In this paper,the operation principle of this machine has been explained and the design methods are also presented.To seek the better performance,the main dimension of the machine is optimized,and for the performance evaluation,the finite element method(FEM)is adopted.The proposed machine can be used for the electric driving systems,robotic systems or other applications where the linear motion ability is required.

Robust Multiobjective and Multidisciplinary Design Optimization of Electrical Drive Systems

Design and optimization of electrical drive systems often involve simultaneous consideration of multiple objectives that usually contradict to each other and multiple disciplines that normally coupled to each other.This paper aims to present efficient system-level multiobjective optimization methods for the multidisciplinary design optimization of electrical drive systems.From the perspective of quality control,deterministic and robust approaches will be investigated for the development of the optimization models for the proposed methods.Meanwhile,two approximation methods,Kriging model and Taylor expansion are employed to decrease the computation/simulation cost.To illustrate the advantages of the proposed methods,a drive system with a permanent magnet synchronous motor driven by a field oriented control system is investigated.Deterministic and robust Pareto optimal solutions are presented and compared in terms of several steady-state and dynamic performances(like average torque and speed overshoot)of the drive system.The robust multiobjective optimization method can produce optimal Pareto solutions with high manufacturing quality for the drive system.

Statistical prediction of waterflooding performance by K-means clustering and empirical modeling

Statistical prediction is often required in reservoir simulation to quantify production uncertainty or assess potential risks.Most existing uncertainty quantification procedures aim to decompose the input random field to independent random variables,and may suffer from the curse of dimensionality if the correlation scale is small compared to the domain size.In this work,we develop and test a new approach,K-means clustering assisted empirical modeling,for efficiently estimating waterflooding performance for multiple geological realizations.This method performs single-phase flow simulations in a large number of realizations,and uses K-means clustering to select only a few representatives,on which the two-phase flow simulations are implemented.The empirical models are then adopted to describe the relation between the single-phase solutions and the two-phase solutions using these representatives.Finally,the two-phase solutions in all realizations can be predicted using the empirical models readily.The method is applied to both 2D and 3D synthetic models and is shown to perform well in the P10,P50 and P90 of production rates,as well as the probability distributions as illustrated by cumulative density functions.It is able to capture the ensemble statistics of the Monte Carlo simulation results with a large number of realizations,and the computational cost is significantly reduced.