Search

On the basis of novel properties of ferroelectric conducting domain walls, the domain wall nanoelectronics emerges and provides a brand-new dimension for the development of high-density, high-speed and energy-efficient nanodevices. For in-memory computing, three-terminal devices with both logic and memory functions such as transistors purely based on ferroelectric domain walls are urgently required. Here, a prototype ferroelectric domain-wall transistor with a well-designed coplanar electrode geometry is demonstrated on epitaxial BiFeO3 thin films. For the logic function, the current switching between on/off states of the transistor depends on the creation or elimination of conducting domain walls between drain and source electrodes. For the data storage, the transistor can maintain nonvolatile on/off states after the write/erase operations, providing an innovative approach for the development of the domain wall nanoelectronics.

In order to explore the energy performance of a university building integrated with solar PV and energy storage, in this paper, DesignBuilder was used to establish the teaching building model and calculate the load based on the characteristics of the teaching building of a university, a simulation model of the photovoltaic & energy storage integrated system was built with TRNSYS. Then analysing the energy performance and economy of the system. The results show that, from the overall demand, the solar electricity generation capacity of the photovoltaic & energy storage integrated teaching building can basically meet the demand for air conditioning electricity, and there is more remaining electricity for the electricity grid. The energy performance of the system in different seasons (summer, spring and autumn transition season, winter) and the complementarity among various electric quantities are studied, including electricity consumption, electricity generation, municipal electricity supply, remaining electricity on grid, battery charge, battery discharge. The economic analysis of the system shows that Solar fraction (SF)=0.93, Self-Consumption Ratio (SCR)=0.13, Return on Investment (ROI)=0.219 years, Payback Period (PBP)=4.75 years, which proves its feasibility.

Pipes with insulation are widely used in the industrial field. The traditional nondestructive testing technology for on-line pipes with insulation often requires the removal of a large number of insulation layers and the forcing of the owner to stop for testing. The traditional testing mode not only has low detection efficiency, but also forces the owner to spend a lot of manpower, material resources and financial resources. In recent years, a series of new nondestructive testing (NDT) technologies have different advantages for in-service pipeline testing with coated layers. However, Digital radiographic (DR) testing can satisfy the integrity inspection of on-line pipeline with insulation well. In this paper, the basic principle of DR testing and the configuration of instrument parameters are introduced. Based on the analysis and discussion of the actual testing cases, it is proved that digital ray testing can effectively solve the quality testing of on-line insulation pipeline, and it is a new nondestructive testing technology worthy of further study and popularization.

NH-μLED, namely a micro light-emitting diode structure with nano-holes dug all the way through the active region, is designed to make silver nanoparticles in extremely close contact with the quantum wells for improving the coupling between the localized surface plasmon and the quantum wells (LSP-QWs coupling) and thus enhancing the optical properties of the μLED. The experimental results show that, thanks to this deep nanohole structure, the LSP-QWs coupling can be realized effectively, which ultimately increases the optical performance of the μLED. The internal quantum efficiency of the NH-μLED filled with silver nanoparticles is increased by 12%, and the final optical output power is also enhanced. We have further carried out a comparison study which measures the transient lifetime of two different types of μLEDs, and the results provide convincing evidence for the existence of the ultra close range LSP-QWs coupling effect.

This article studies characteristics of 3LPE external coating material and cathodic protection technology for offshore pipeline firstly, analysis the mechanism of cathodic disbondment and specified properties, carries out cathodic disbonding tests base on different cathodic protection current density applied on coated samples at given temperature, and then analyses the relationship between coating failure life and index of cathodic protection using Arrhenius model and inverse power law model, puts forward a recommended maximal cathodic protection current density for offshore pipeline at a certain design life of coating.

In order to solve the problem of AGV fault detection system’s complexion and low accuracy, a convolutional neural network (CNN) based on the status monitoring and fault diagnosis method for automatic guided vehicle (AGV) is proposed. Firstly, the vibration signals of the core components of AGV are converted into two-dimensional (2D) images. Secondly, 2D images are input into convolution neural network for training. Finally, the trained model is used to monitor the running status of AGV and identify faults. The results show that the proposed method can effectively monitor the status of AGV in operation.

For the purpose of studying the effect of high-density, small-size solder joints on the thermal fatigue life of display devices, a 3D model of the corresponding device structure is established, using finite element analysis methods, and using Anand constitutive equations and Coffin-Manson life prediction models. The equivalent stress and strain change law of an indium solder joint with a diameter of 10 μm under thermal cycling loading conditions is explored, and the key position of the solder joint damage is inferred based on the simulated strain cloud diagram. In addition, the influence of different bump height, bump contact area and Under-Bump Metallization (UBM) thickness on the thermal fatigue life of solder joints is studied separately. The final simulation results show that the location where the solder joint may be damaged first is at the point on the outer side where the solder joint is connected to the UBM on the edge away from the center point. The height of the bump and the contact area of the bump have a significant effect on its thermal fatigue life. In the actual experiment, we should focus on the impact of this aspect.

Reservoir computing (RC) decomposes the recurrent neural network into a fixed network with recursive connections and a trainable linear network. With the advantages of low training cost and easy hardware implementation, it provides a method for the effective processing of time-domain correlation information. In this paper, we build a hardware RC system with a nonlinear MEMS resonator and build an action recognition data set with time-domain correlation. Moreover, two different universal data set are utilized to verify the classification and prediction performance of the RC hardware system. At the same time, the feasibility of the novel data set was validated by three general machine learning approaches. Specifically, the processing of this novel time-domain correlation data set obtained a relatively high success rate. These results, together with the dataset that we build, enable the broad implementation of brain-inspired computing with microfabricated devices, and shed light on the potential for the realization of integrated perception and calculation in our future work.

In this paper, a novel acoustic metamaterial beam attached with lattice structures and resonators is designed for elastic wave attenuation. The proposed acoustic metamaterial beam is fabricated by 3D printing with NiTi alloy. Theoretical analysis using negative effective mass is performed to derive the band gap of structure. The finite element method and experimental analysis are performed to investigate the dispersion relation and transmission spectrum. Furthermore, the effect of geometric features on the band gap is studied by simulations. Results proved that the metamaterial beam can be utilized for the control of low-frequency vibration.

Investigating the dynamic characteristic of hydrological processes is of vital significance for environmental protection. In this study, the stepwise cluster analysis (SCA) method was used for monthly streamflow simulation in a hypothetical case. According to SCA, a cluster tree was formulated through training the data of monthly temperature, precipitation and streamflow from 2004 to 2010. Then, the generated tree was used to reproduce monthly streamflow in calibration period (i.e., 2004-2010) and validation period (i.e., 2011-2013). A comparison of SCA and multiple linear regression (MLR) was conducted to reflect the complex relationship of meteorological parameters (e.g., precipitation) and hydrological parameters. Model performance was assessed using Nash-Sutcliffe efficiencies (NSE), the determination coefficient (R 2), the root-mean-square error (RMSE) and the mean absolute error (MAE). NSE and R2 obtained from SCA are higher than that obtained from MLR. RMSE and MAE obtained from SCA are smaller than that obtained from MLR, indicating a better coincidence between simulated streamflow and the observed values in SCA. Results indicated that SCA has advantage in revealing the nonlinear relationship among precipitation, temperature and streamflow.

A fully convolutional encoder–decoder network (FCEDN), a deep learning model, was developed and applied to image scanning microscopy (ISM). Super-resolution imaging was achieved with a 78 μm × 78 μm field of view and 12.5 Hz–40 Hz imaging frequency. Mono and dual-color continuous super-resolution images of microtubules and cargo in cells were obtained by ISM. The signal-to-noise ratio of the obtained images was improved from 3.94 to 22.81 and the positioning accuracy of cargoes was enhanced by FCEDN from 15.83 ± 2.79 nm to 2.83 ± 0.83 nm. As a general image enhancement method, FCEDN can be applied to various types of microscopy systems. Application with conventional spinning disk confocal microscopy was demonstrated and significantly improved images were obtained.

AlN thin films were deposited on c-, a- and r-plane sapphire substrates by the magnetron sputtering technique. The influence of high-temperature thermal annealing (HTTA) on the structural, optical properties as well as surface stoichiometry were comprehensively investigated. The significant narrowing of the (0002) diffraction peak to as low as 68 arcsec of AlN after HTTA implies a reduction of tilt component inside the AlN thin films, and consequently much-reduced dislocation densities. This is also supported by the appearance of E 2(high) Raman peak and better Al–N stoichiometry after HTTA. Furthermore, the increased absorption edge after HTTA suggests a reduction of point defects acting as the absorption centers. It is concluded that HTTA is a universal post-treatment technique in improving the crystalline quality of sputtered AlN regardless of sapphire orientation.

This paper studies the working principle of the hydraulic free piston engine, and details the related contents of the working process of the hydraulic free piston engine. The related contents include the analysis of working state, the analysis of fuel injection characteristics, the analysis of the air exchange system, the analysis of the operating parameters, the working process in the cylinder, etc. The stability of the hydraulic free piston engine is studied by establishing a nonlinear model. Based on this, the stability control strategy is developed, which aims to accumulate reliable experimental data and lay a good application foundation for developing the dynamic control of hydraulic free piston engine in working process.

A multi-nucleon transfer and cluster decay experiment, Li( B, C + Be) , is conducted at an incident beam energy of 55 MeV. This reaction channel has a significantly large Q-value, which favors populating the high lying resonant states in C. The decay paths, from these resonances to various states of the final nucleus Be, can be selected, owing to the experimentally achieved optimal resolution of the Q-value spectrum. A number of resonant states are reconstructed from the forward emitting Be + fragments, and their major molecular structures can be detected according to the selective decay paths and relative decay widths. A state at 22.4(2) MeV validates the previously measured and theoretically predicted band head of the positive-parity -bond linear-chain molecular band. Two additional resonances at 22.9(2) and 24.2(2) MeV are identified and consistent with the predicted and members of the same molecular band, thus providing novel evidences for the existence of the exotic clustering chain structure in neutron-rich carbon isotopes. A few high energy resonances, which also indicate the presence of the -bond molecular structure, are observed; however, further studies are still required to clarify their ascription in band systematics.

In this paper, a numerical simulation is established to model the filling process of atomized natural gas drag reduction agent (DRA) at the pipeline inlet section. The computations are on the basis of the Euler-Lagrange method with the standard k-ε turbulence model. The effects of atomizing parameters on the droplets Sauter Mean Diameter (SMD) and the adsorption performance on the wall of pipe are investigated using the validated model. The results show that nozzle diameter and nozzle angle have little effect on the SMD of DRA droplets, whereas the size of the droplets SMD reduces with the increase of atomizing pressure, and the influence of atomizing flow rate is just the opposite.

With the in-depth research and rapid development and application of “Internet +” big data technology, it has a positive and far-reaching impact on e-commerce logistics, but how to use the advantages of big data technology to serve e-commerce logistics innovation and satisfy the society and customers for its application demand is the focus of current e-commerce logistics service companies. With the support of the Internet of Things technology, it can realize the unified command of the emergency logistics management system, coordinate the deployment of emergency materials, vehicles, and personnel, ensure the efficient development of emergency rescue work, and minimize the impact of sudden disasters on the society and the people.

Aiming at the problem of personalized customization of a smart home system, a scheme of personalized customization of the smart home system based on parsing XML authorization files is proposed. First, develop an XML authorization file generator, and use it to generate personalized XML authorization files; secondly, use the developed app to parse the XML authorization file to realize the legal authorization of the app and the dynamic generation of the home control interface; finally, click buttons on the control interface to trigger the TCP communication between the app and ESP8266, and then with the help of esp8266 to realize the switch of electrical appliances. Experimental results show that dynamic customization of the smart home system based on XML can implement dynamic customization of control interfaces for various home layouts, and can effectively control the home furnishings.

Rolling bearings are widely used in spindle systems, and are usually arranged in pairs for higher running accuracy. Spalling often occurs on the outer ring of rolling bearings, and the impact of double spalling located on a single bearing is quite different from that of spalling on both bearings. This paper proposes a method for localizing double spalling based on radiated sound signals. A model of the sound radiation produced by spalling is established, and the sound signals are analyzed in the time and frequency domains. The numerical simulation and experimental results show that double spalling can be detected through the appearance of corresponding frequency components, and the relative spalling positions can be distinguished through the time–delay ratio (TDR) between the impacts in the time-domain signal. When spalling takes place on the same bearing, the distances to the sources of the impact sounds are different, compared to spalling on different bearings, leading to significant differences in the TDRs of the time domain signal. Impacts from different spalling locations can be distinguished from the time domain signal, and the double spalling localization can be realized through TDR matching. The method provides a new approach for accurate fault localization, which is helpful for the operation and maintenance of spindle systems.

Layered two-dimensional (2D) materials such as MoS2 have attracted much attention for nano- and opto-electronics. Recently, intercalation (e.g. of ions, atoms, or molecules) has emerged as an effective technique to modulate material properties of such layered 2D films reversibly. We probe both the electrical and thermal properties of Li-intercalated bilayer MoS2 nanosheets by combining electrical measurements and Raman spectroscopy. We demonstrate reversible modulation of carrier density over more than two orders of magnitude (from 0.8 × 1012 to 1.5 × 1014 cm−2), and we simultaneously obtain the thermal boundary conductance between the bilayer and its supporting SiO2 substrate for an intercalated system for the first time. This thermal coupling can be reversibly modulated by nearly a factor of eight, from 14 ± 4.0 MW m−2 K−1 before intercalation to 1.8 ± 0.9 MW m−2 K−1 when the MoS2 is fully lithiated. These results reveal electrochemical intercalation as a reversible tool to modulate and control both electrical and thermal properties of 2D layers.

The stochastic problems of engineering structures are generally simulated by stochastic finite element method. Based on the non-linear mathematical random method, the paper proposes the concept of multi-sample redundancy based on Bayesian network and the concept of redundancy compression algorithm. A Monte Carlo stochastic finite element method based on Bayesian network redundancy compression algorithm is established. The modelling process of Bayesian network redundancy compression algorithm is explained in detail through two examples. The Bayesian network redundancy compression algorithm model provides a new strategy for multi-sample system reliability analysis, which can conveniently implement system reliability calculation, fault diagnosis, importance analysis and other applications. If the constructed Bayesian network redundancy compression algorithm satisfies that all non-root nodes have two parent nodes, the reliability solving process of the multi-sample system only needs O(Nm3) computational complexity.

Computational ghost imaging has been an interesting topic for the imaging research community. However, low resolution and quality of image have been a major problem inhibiting the application of computational ghost imaging technique. In this work, we develop a chromatic 64 × 64 LED array which provides high-speed structured illumination up to 2.5 MHz for computational ghost imaging. Importantly, rather than using regular Cartesian arrangement which is commonly used in a digital camera’s detection array, the LED chips on chromatic LED array we propose are arranged in a special way we refer to as basket-weave sampling. The experimental results demonstrate that our proposed arrangement outperforms Cartesian arrangement for storing high-frequency information of colored pictures, with averaged root mean squared error (RMSE) reduced by 4.6%. Meanwhile, considering the physical structure of the LED array, we propose a targeted interpolation algorithm for resulting images obtained from the experiment, and results show that our algorithm has lower averaged RMSE by 2% when compared to bilinear algorithm and by 6.4% when compared to bicubic algorithm.

The fault location method based on the transient traveling wave has been widely used in power grid. The location accuracy and reliability of traveling wave fault location may get affected by some factors including: length error of transmission line, timing error, secondary signal cable in substation. The paper proposes a novel fault location method based on the time-frequency correlation of the fault data collected from two ends of transmission line. It takes advantage of the symmetry and similarity of reflected waves at both ends while the resonance and the reflected waves of adjacent lines are not correlated with each other. Through time-frequency correlation analysis at both ends, the influence of interference and resonance is suppressed, reliability of reflected wave identification and fault location, as well as accuracy of fault location are improved. Effectiveness of the method is verified by simulation and field data.

In recent years, reservoir cooperation and exchange between countries and regions with a Shared economy based on dynamic analysis has made some progress, but on the whole, there are still some problems in reservoir completion opening up. China should actively integrate into the construction of sharing economy, seek reservoir cooperation in a wider range, further optimize reservoir completion trade structure, innovate reservoir investment pattern, expand reservoir technology exchange space, increase policy support, and strive to build a new pattern of reservoir completion opening to the outside world.

In this paper, we study a kind of nonlinear model of adiabatic evolution in quantum search problem. As will be seen here, for this problem, there always exists a possibility that this nonlinear model can successfully solve the problem, while the linear model can not. Also in the same setting, when the overlap between the initial state and the final stare is sufficiently large, a simple linear adiabatic evolution can achieve O(1) time efficiency, but infinite time complexity for the nonlinear model of adiabatic evolution is needed. This tells us, it is not always a wise choice to use nonlinear interpolations in adiabatic algorithms. Sometimes, simple linear adiabatic evolutions may be sufficient for using.

All of 1,647 top papers for Computer Science, Information Systems from 2009 to 2019, which included 1,642 highly cited papers and 32 hot papers. All papers were written in English, from 69 countries/territories and listed in 115 journals. Top 5 core journals were IEEE Communications Surveys and Tutorials, Information Sciences, IEEE Access, IEEE Internet of Things Journal, MIS Quarterly. The research was separated 9 clusters.

All of 404 top papers for Agricultural Engineering were analyzed from 2009 to 2019, which included 396 highly cited papers and 13 hot papers. All papers were written in English, from 56 countries/territories. The 7 core journals were Bioresource Technology, Industrial Crops and Products, Biomass Bioenergy, Transactions of the ASABE, Biosystems Engineering, Aquacultural Engineering, International Journal of Agricultural and Biological Engineering. Top 3 countries and regions were Peoples R China, USA, India. The research were separated 6 clusters.

Surface plasmon resonance (SPR) of metal nanostructures has broad application prospects in the fields of sensing, energy, catalysis and optics. This paper reports a graphene-assisted method for preparing large-scale single-crystal Ag(111) nanoparticle (NP) arrays based on the ion implantation technique. By surface periodic patterning treatment and annealing of the implanted sample, regularly arranged Ag NPs can be prepared on the sample surface. A new application for graphene is proposed, that is, as a perfect barrier layer to prevent metal atoms from evaporating or diffusing. All the Ag NPs show (111) crystal orientation. Besides, the Ag atoms are covered by graphene immediately when they precipitate from the substrate, which can prevent them from being oxidized. On the basis of this structure, as one of the applications of the metal SPR, we have measured the surface-enhanced Raman scattering effect and found that the G peak of the Raman spectrum of the graphene achieved about 20 times enhancement.

We present the analog analogue of Grover’s problem as an example of the time-independent Hamiltonian for applying the speed limit of the imaginary-time Schrödinger equation derived by Okuyama and Ohzeki and the new class of energy-time uncertainty relation proposed by Kieu. It is found that the computational time of the imaginary-time quantum annealing of this Grover search can be exponentially small, while the counterpart of the quantum evolution driven by the real-time Schrödinger equation could only provide square root speedup, compared with classic search. The present results are consistent with the cases of the time-dependent quantum evolution of the natural Grover problem in previous works. We once again emphasize that the logarithm and square root algorithmic performances are generic in imaginary-time quantum annealing and quantum evolution driven by real-time Schrödinger equation, respectively. Also, we provide evidences to search deep reasons why the imaginary-time quantum annealing can lead to exponential speedup and the real-time quantum annealing can make square root speedup.

Under the background of the continuous reform of the education curriculum in our country, the traditional teaching mode has obviously been unable to meet the needs of the present teaching task. Taekwondo course has always been taught in the traditional teaching mode, but as more people join in the study of Taekwondo, the traditional teaching mode is obviously no longer suitable for the current form. With the continuous improvement of the popularity and level of the sport, the single teaching mode limits the teaching effect and scope to some extent. This paper aims to study and explore a new method and ideas to guide Taekwondo Teaching, in order to optimize the teaching content and improve the teaching efficiency. This paper analyzes the application of multimedia in Taekwondo Teaching from three aspects: video feedback teaching, CAI courseware assisted teaching and continuous picture decomposition technology action teaching.

Rockburst experimental research is an important method to understand rockburst and its mechanism. This paper proposes a rockburst classification method, which can be divided into strain burst and impact rockburst. Independently developed three true triaxial rockburst experimental systems, including the first-generation strain burst experimental system, the second-generation strain burst experimental system, and the impact rockburst experimental system. Successfully reproduced different types of rockbursts in experiments, including: single-face unloading strain burst, two-face unloading strain burst, three-face unloading strain burst, four-face unloading strain burst, impact rockburst, and rockburst of jointed rock mass induced by impact. Macro NPR anchors and micro NPR anchors with negative Poisson’s ratio effect have been developed, and field rockburst simulation experiments have been performed. The anchor has good rockburst resistance. The rockburst experimental simulation and NPR anchor in this paper can provide reference for the study of rockburst mechanism and its control.

Mono- to few-layer graphene materials are successfully synthesized multiple times using Cu-Ni alloy as a catalyst after a single-chemical vapor deposition (CVD) process. The multiple synthesis is realized by extracting carbon source pre-dissolved in the catalyst substrate. Firstly, graphene is grown by the CVD method on Cu-Ni catalyst substrates. Secondly, the same Cu-Nicatalyst foils are annealed, in absence of any external carbon precursor, to grow graphene using the carbon atoms pre-dissolved in the catalyst during the CVD process. This annealing process is repeated to synthesize graphene successfully until carbon is exhausted in the Cu-Ni foils. After the CVD growth and each annealing growth process, the as-grown graphene is removed using a bubbling transfer method. A wide range of characterizations are performed to examine the quality of the obtained graphene material and to monitor the carbon concentration in the catalyst substrates. Results show that graphene from each annealing growth process possesses a similar quality, which confirmed the good reproducibility of the method. This technique brings great freedom to graphene growth and applications, and it could be also used for other 2D material synthesis.

A real-time task assignment method based on the least time is proposed to solve the problem of automatic assignment of two-load Automatic Guided Vehicle (AGV) transportation tasks when the urgency of outbound goods is changing dynamically. Firstly, the urgency of goods going out of the warehouse is defined, and it is time-dependent and divided into two categories: urgent and non-urgent. Secondly, the location of AGV consists of three classes and the current task status of AGV is also detailed to three classes. Thirdly, the same vehicle factor is determined according to whether the adjacent outgoing goods are in the same vehicle. Fourthly, according to the order of issued task and taking the above factors into consideration, the delivery time is analyzed and enumerated under different shipment orders and different AGV status. Finally, a decision tree is built and the real-time task assignment method is proposed considering the least time.

Three-dimensional reconstruction can be performed in many ways, among which photometric stereo is an established and intensively investigated method. In photometric stereo, geometric alignment or pixel-matching between two-dimensional images under different illuminations is crucial to the accuracy of three-dimensional reconstruction, and the dynamic of the scene makes the task difficult. In this work, we propose a single-pixel three-dimensional reconstructioning system utilizing structured illumination, which is implemented via a high-speed LED array. By performing 500 kHz structured illumination and capturing the reflected light intensity with detectors at different spatical locations, two-dimensional images of different shadows with 64 × 64 pixel resolution are reconstructed at 122 frame per second. Three-dimensional profiles of the scene are further reconstructed using the surface gradients derived by photometric stereo algorithm, achieving a minimum accuracy of 0.50 mm. Chromatic three-dimensional imaging via an RGB LED array is also performed at 40 frame per second. The demonstrated system significantly improves the dynamic performance of the single-pixel three-dimensional reconstruction system, and offers potential solutions to many applications, such as fast three-dimensional inspection.

The cubic pyrochlore Dy2Pt2O7 was synthesized under 4 GPa and 1000 °C and its magnetic and thermodynamic properties were characterized by DC and AC magnetic susceptibility and specific heat down to 0.1 K. We found that Dy2Pt2O7 does not form long-range magnetic order, but displays characteristics of canonical spin ice such as Dy2Ti2O7, including (1) a large effective moment 9.64 μ B close to the theoretical value and a small positive Curie–Weiss temperature θ CW = +0.77 K signaling a dominant ferromagnetic interaction among the Ising spins; (2) a saturation moment ∼4.5 μ B being half of the total moment due to the local 〈111〉 Ising anisotropy; (3) thermally activated spin relaxation behaviors in the low (∼1 K) and high (∼20 K) temperature regions with different energy barriers and characteristic relaxation time; and most importantly, (4) the presence of a residual entropy close to Pauling’ estimation for water ice.

In order to timely identify, analyze the health status of an intelligent manufacturing system, an approach based on fuzzy analytic hierarchy process (FAHP) is proposed. In the method, the random perturbation is divided into several classes and each is subdivided to several events. Then an evaluation model is constructed and it has two-layer criteria system, which can evaluate every perturbation class and the whole system at the same time. The monitoring data is expressed with 10 scales and the evaluation accuracy is more improved. FAHP is used to calculate the criteria weights. Finally, the proposed method is detailed illustrated by an example, and the method is verified.

Low-cycle fatigue (LCF) behavior of a novel near β titanium alloy Ti-6Mo-5V-3Al-2Fe (wt%) with various types of secondary α phase was investigated. Results indicate that No.1 microstructure containing crossed and fine intragranular α, as well as discontinuous GB α, is obtained through low temperature (480 °C) aging treatment. No.2 microstructure containing parallel and coarse intragranular α, as well as parallel WGB α, forms after high temperature (600 °C) aging treatment. Under all strain amplitudes, stress amplitudes and LCF life of the samples with No.1 microstructure are higher than those of the samples with No.2 microstructure. For the samples with No.1 microstructure, more and deeper secondary cracks and dimples form in fatigue crack propagation and fast fracture regions, respectively. Such fatigue fracture behavior reflects a longer LCF life.

This study takes single task pricing as an example, analyzes the key factors of task pricing and constructs an index model of single task pricing through the data of 835 task cases. Through the empirical analysis of the new pricing model, we draw the conclusion: the new pricing model reduces the cost of the task and increases the completion rate. It has a certain guiding significance for the development and management of the public crowdsourcing platforms.

In this paper, matlab programs were written to efficiently process the experiment data for buckling and post-buckling of delaminated composite beams. In the experiments, data collected from 810 Material Test System (MTS) and from dial indicator were sampled at different frequencies, thus were not matched with each other in time. To solve this problem matlab programs were developed. It shows that using the developed program, the experiment data from the two testing systems are corresponding and truly reflect the changes of mechanical parameters in the buckling and post-buckling process of specimens in the experiments.

Motivated by the experimental synthesis of peanut-shaped carbon nanotubes (PSNTs) that combine the novel features of fullerene and carbon nanotubes (CNTs), we study the thermal conductivity of a PSNT (1dp08) and its response to different strains by using non-equilibrium molecular dynamics simulations and lattice dynamics together with density functional theory. We find that the thermal conductivity of the PSNT is reduced by more than 90% as compared to that of CNTs, and remains almost the same when different strains applied, exhibiting very different behaviors from that of CNTs, where the thermal conductivity decreases monotonically with the increase of strain. Through phonon mode calculations, we show that the reduced phonon group velocity, phonon lifetime and the vibrational mismatch are responsible for the low thermal conductivity of the PSNT, and the insensitive response of thermal conductivity to strain is due to the insensitivity of its phonon density of states and group velocity to strain. These features endow the PSNT with the potential applications in thermal devices, and add new features to one-dimensional carbon nanomaterials going beyond conventional CNTs.

On the basis of the principle of order parameters of synergy, a synergy model of the financial-technological-industrial collaborative innovation system in the Yangtze River Economic Belt was constructed. Panel data for the financial structure, technological innovation, and industrial innovation in the Yangtze River Economic Belt for the period from 2011 to 2016 were used to analyze the degree of synergy within each subsystem of the innovation system and between the subsystems and measure the corresponding levels of synergy. The research showed that the financial-technological-industrial subsystems in the Yangtze River Economic Belt were basically in an orderly state, and the Jiangsu subsystem exhibited the best synergy, followed by Shanghai and Zhejiang, whereas that of Yunnan was poor. The overall economic cooperation of the Yangtze River Economic Belt is not ideal, and the level of synergy fluctuates greatly.