A growth-regulating factor 7(GRF7)-mediated gene regulatory network promotes leaf growth and expansion in sugarcane

Knowledge of the function of growth-regulating factors(GRFs)in sugarcane(Saccharum officinarum and S.spontaneum)growth and development could assist breeders in selecting desirable plant architectures.However,limited information about GRFs is available in Saccharum due to their polyploidy.In this study,22 GRFs were identified in the two species and their conserved domains,gene structures,chromosome location,and synteny were characterized.GRF7 expression varied among tissues and responded to diurnal rhythm.SsGRF7-YFP was localized preferentially in the nucleus and appears to act as a transcriptional cofactor.SsGRF7 positively regulated the size and length of rice leaves,possibly by regulating cell size and plant hormones.Of seven potential transcription factors binding to the SsGRF7 promoter in S.spontaneum,four showed positive expression patterns,and two showed negative expression patterns relative to SsGRF7.

O2O＇s construction based on the research of Business model with integration of online and offiine channel

With the rapid development of information technology, it appears that a single online channel or a single offline is not able to meet the consumers＇ shopping needs, the enterprises will have a better development only by making the online and offline channels be in fusion and promote each other. This paper will combine the general business modes with corporate channel integration pattern, build out different forms of the market mode including market, enterprise and customers basing on different influence level, and analyze out the enterprise how to implement the business mode of integration basing on the influence factors under the background of different business modes, then apply the corresponding O2O process to the mode, so as to broaden the enterprise selling channels for a better development.

Application of LSTM and CONV1D LSTM Network in Stock Forecasting Model

Predicting the direction of the stock market has always been a huge challenge.Also,the way of forecasting the stock market reduces the risk in the financial market,thus ensuring that brokers can make normal returns.Despite the complexities of the stock market,the challenge has been increasingly addressed by experts in a variety of disciplines,including economics,statistics,and computer science.The introduction of machine learning,in-depth understanding of the prospects of the financial market,thus doing many experiments to predict the future so that the stock price trend has different degrees of success.In this paper,we propose a method to predict stocks from different industries and markets,as well as trend prediction using traditional machine learning algorithms such as linear regression,polynomial regression and learning techniques in time series prediction using two forms of special types of recursive neural networks:long and short time memory(LSTM)and spoken short-term memory.

Impact of Photovoltaics

Photovoltaics(PV)can convert sunlight into electricity by making use of the photovoltaic effect.Solar panels consist of photovoltaic cells made of semiconductor materials(such as silicon)to utilise the photovoltaic effect and convert sunlight into direct current(DC)electricity.Nowadays,PV has become the cheapest electrical power source with low price bids and low panel prices.The competitiveness makes it a potential path to mitigate the global warming.In this paper,we investigate the relationship of PC array output with irradiance and temperature,the performance of PV array over 24 hours period,and the simulation of PV micro grid by MATLAB simulation.

ARTICLE Analyzing the nonlinear system by designing an optimum digital filter named Hermitian-Wiener filter

The classical Wiener filter was engaged into identifying the linear structures,resulting in clear and incredible drawbacks in working with nonlinear integrated system.Currently,the Hermitian-Wiener system are suitable for unpredicted sub-system that consists of numerous and complex inputs.The system introduces a two-stage to analyze the subintervals where the output nonlinearities are noninvertible,through using the unknown orders and parameters.Finally,a practical strategy would be discussed to analyze the nonlinear parameters.

Vector Control of Three-Phase Solar Farm Converters Based on Fictive-Axis Emulation

In this paper,a new method for adjusting the current of three-phase voltage source DC-AC converter in orthogonal(DQ)reference frame is presented.In the DQ reference system,AC variable appears in the constant form of DC,making the controller design the same as the DC-DC converter[1].It provides controllable gain benefits at the steady-state operating point,and finally realizes zero steady-state error[2].In addition,the creative analytical model is dedicated to building up a series of virtual quantities orthogonal to the actual single-phase system.In general,orthogonal imaginary numbers get the reference signal by delaying the real quantity by a quarter period.However,the introduction of such time delay makes the dynamic response of the system worse.In this paper,orthogonal quantities are generated from a virtual axis system parallel to the real axis,which can effectively improve the dynamic performance of traditional methods without increasing the complexity of controller structure.Through PSCAD simulation,the ideal experimental results are obtained.

O2O＇s construction based on the research of Business model with integration of online and offiine channel

With the rapid development of information technology, it appears that a single online channel or a single offline is not able to meet the consumers＇ shopping needs, the enterprises will have a better development only by making the online and offline channels be in fusion and promote each other. This paper will combine the general business modes with corporate channel integration pattern, build out different forms of the market mode including market, enterprise and customers basing on different influence level, and analyze out the enterprise how to implement the business mode of integration basing on the influence factors under the background of different business modes, then apply the corresponding O2O process to the mode, so as to broaden the enterprise selling channels for a better development.

Inverter System:A Solution to Improve the Efficiency of New Energy Generation in Factories

The report mainly analyzes whether the inverter system could improve the efficiency of converting new energy into factory electricity based on McLuhan’s laws of media theory.Firstly,the report asserts the significance of using new energy and the importance of utilizing the inverter system to improve the power conversion of new energy in factories.Secondly,it mainly describes McLuhan’s theory from four different aspects.In addition,according to the four aspects of McLuhan’s theory,the rationality and feasibility of the inverter system solution are analyzed.Then,it is concluded that the inverter system can well improve the conversion efficiency of new energy generation in factories.Finally,this paper claims suggestions from two different perspectives to promote the development of the inverter system..

A 4-element Rectangular Microstrip Patch Antenna Array

Patch antennas are small in size and suitable for microwave transmission,so they are widely used in small portable wireless devices.Multiple patch antennas are connected together to form an array antenna.Compared with the patch antenna,the array antenna has a higher directivity gain and can achieve better transmission performance.In this project,I will test the single patch antenna first,and then move to 2×1 antenna array.Finally,built a 2×2 antenna array,test and record their performance respectively.