Research on Agricultural Economic Development under the Background of Urbanization

Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China＇s agriculture, a cointegration test was conducted between the urbanization rate and the total agricultural output value in China during the past 30 years of 1986-2015. The results showed that the development of urbanization and agricultural economy had no severe effect on weakening the agricultural economy in China, while on the contrary, there was a long-term equilibrium relationship between the two, which was only limited to a certain range, and in the future high development of urbanization of China, the development of agricultural economy would face great challenges. Therefore, China should specify cultivated land use, strengthen the supervision standard of land circulation; increase investment in science and technology, improve the efficiency of agricultural output; optimize financial support for agriculture, enhance the enthusiasm of farmers; cultivate new agricultural operators, promote the process of agricultural industrialization, so as to form economies of scale and explore a new road of urbanization which is not at the expense of the cost of agricultural economy.

Performability of Research Infrastructure Comsidering Costs and Values for Different Outputs

The research infrastructure is very crucial for the development of some fundamental research. However,it is costly to buy,install and operate the infrastructure. This paper analyzes the costs and benefits of research infrastructure using a concept termed as investment reliability. Both the costs and the outputs are represented by a cash flow diagram,and the investment reliability is modeled. Different types of outputs are taken into concern in the model formulation. Illustrative examples are proposed to show how to apply the model.

Research on Development of Natural Rubber in Indonesia

Through analyzing the harvested area,yield and total production of natural rubber and the exports of dry rubber,the situation of rubber cultivation in Indonesia was studied,and the development prospects of natural rubber in Indonesia were explored. The results showed that the harvested area of natural rubber in Indonesia showed a wave-like rise from 1980 to 2016. The area harvested in 2000 was increased by47. 06% compared with that in 1980,and the area harvested in 2016 was increased by 6. 43% compared with that in 2008. The yield of natural rubber in Indonesia showed a dynamic trend from 1980 to 2016. It reached the maximum( 993 kg/ha) in 2007 and reached the minimum( 575 kg/ha) in 1982. The total production of natural rubber in Indonesia showed a wave-like rise during 1980-2016. The total production of natural rubber in 2000 was increased by 47. 06% compared with that in 1980,and the total production of natural rubber in 2016 was increased by 110. 67% compared with that in 2000. The export volume of dry natural rubber in Indonesia basically showed a concussive rise from 1980 to 2016. The proportion of export volume in the total production in 2016 declined by 14. 75% compared with that in 1980. It is believed that the harvested area of natural rubber in Indonesia will be near the peak in the next few years,and it is difficult to increase the output; the proportion of exported natural rubber in the total production will decline slowly; and the potential for natural rubber development is large.

Research on Regulation Method of Energy Storage System Based on Multi-Stage Robust Optimization

To address the scheduling problem involving energy storage systems and uncertain energy,we propose a method based on multi-stage robust optimization.This approach aims to regulate the energy storage system by using a multi-stage robust optimal control method,which helps overcome the limitations of traditional methods in terms of time scale.The goal is to effectively utilize the energy storage power station system to address issues caused by unpredictable variations in environmental energy and fluctuating load throughout the day.To achieve this,a mathematical model is constructed to represent uncertain energy sources such as photovoltaic and wind power.The generalized Benders Decomposition method is then employed to solve the multi-stage objective optimization problem.By decomposing the problem into a series of sub-objectives,the system scale is effectively reduced,and the algorithm’s convergence ability is improved.Compared with other algorithms,the multi-stage robust optimization model has better economy and convergence ability and can be used to guide the power dispatching of uncertain energy and energy storage systems.

China-Romania Economic Relations:Recent Developments and Prospects

The world economy is crossing the period of Great Transformations and transition towards a New World Order,dominated by the increasing role of China in the world,given the fast implementation of the technological progress(Digital and Artificial Intelligence Revolutions).This paper analyses the economic relations between China and Romania and estimates the dynamics of the potential GDP in these states by implementing standard econometric tools.The results point to the upward trend in terms of bilateral trade between China-Romania in the post-pandemic era and emphasize the potential of the development in the mid-run.

A 3D convolutional neural network model with multiple outputs for simultaneously estimating the reactive transport parameters of sandstone from its CT images

Porosity,tortuosity,specific surface area(SSA),and permeability are four key parameters of reactive transport modeling in sandstone,which are important for understanding solute transport and geochemical reaction pro-cesses in sandstone aquifers.These four parameters reflect the characteristics of pore structure of sandstone from different perspectives,and the traditional empirical formulas cannot make accurate predictions of them due to their complexity and heterogeneity.In this paper,eleven types of sandstone CT images were firstly segmented into numerous subsample images,the porosity,tortuosity,SSA,and permeability of the subsamples were calculated,and the dataset was established.The 3D convolutional neural network(CNN)models were subse-quently established and trained to predict the key reactive transport parameters based on subsample CT images of sandstones.The results demonstrated that the 3D CNN model with multiple outputs exhibited excellent prediction ability for the four parameters compared to the traditional empirical formulas.In particular,for the prediction of tortuosity and permeability,the 3D CNN model with multiple outputs even showed slightly better prediction ability than its single-output variant model.Additionally,it demonstrated good generalization per-formance on sandstone CT images not included in the training dataset.The study showed that the 3D CNN model with multiple outputs has the advantages of simplifying operation and saving computational resources,which has the prospect of popularization and application.

The Impact of The Three-Dimensional Cultivation Model on the Development of the Suzhou Tea Industry:Estimating Value of Output Per Acre and Diversified Sales Models

This article explores the impact of the three-dimensional cultivation mode on the development of the Suzhou tea industry,focusing on the diversified estimation of the value of output per acre and sales mode.It introduces the history and traditional cultivation practices of tea in Suzhou,as well as the current challenges and problems faced by the industry.An in-depth analysis was conducted on the overview and improvement plans of the three-dimensional cultivation mode,covering relevant technical methods.Based on this analysis,the impact of the three-dimensional cultivation on the value of output per acre was studied and predicted.Its potential and advantages were explored and compared with the effectiveness of traditional cultivation models.Additionally,the impact of the three-dimensional cultivation mode on sales was analyzed,examining its market adaptability and competitiveness,as well as its advantages in expanding sales channels and market coverage.The study also focused on the promoting effect of diversified sales models on the Suzhou tea industry,including direct consumption market development,tea processing product development and promotion,and the integration of tea culture and the tourism industry.To ensure sustainable development,the article evaluates the environmental impact,economic feasibility,social benefits,and farmer benefits of the three-dimensional cultivation model.Finally,the prospects for the development of the Suzhou tea industry were discussed,and the positioning and response strategies of the threedimensional cultivation model were proposed.

基于感知与产出视角的维吾尔语辅音/n/的教学策略探析

本文主要以二语习得理论为基础,采用实验语音学的研究方法,以零基础开始学习的新疆大学维吾尔语专业不同水平(从低年级到高年级)学生为实验对象,进行感知和产出实验的研究。感知实验主要研究实验对象对目标辅音/n/的感知能力,结合知觉同化模型(PAM),分析偏误原因,探索维吾尔语辅音/n/的听力教学策略。产出实验主要通过第二共振峰频率跟舌位的关系,分析实验者在不同元音环境下发辅音/n/的舌位位置,结合有关口语的二语习得理论,探索维吾尔语辅音/n/的口语教学策略。

Research and Design of an On-Chip High Efficiency Dual-Output Charge Pump

To meet the demands for different supply voltage levels on SOC required by digital modules like CPU core and analog modules,a novel dual-output charge pump is proposed. The charge pump can output a step-up and a step-down voltage simultaneously with a high driving capability. The multiple gain pair technique was introduced to enhance its efficiency. The proposed co-use technology for capacitors and switch arrays reduced its cost. The charge pump was designed and fabricated in a TSMC 0.35μm mixed-signal CMOS process. A group of analytical equations were derived to model its static characteristics. A state-space model was derived to describe its small-signal dynamic behavior. Analytical predictions were verified by Spectre simulation and testing. The consistency of simulated results as well as test results with analytical predictions demonstrated the high precision of the derived analytical equations and the developed models.

Efficiency Valuation of DMUs with Undesirable Outputs

The researching on the DMUs with undesirable outputs gives the non-radial model FDEA of the relative efficiency evaluation,proves the efficiency theories, and calculates the example.The application of FDEA model shows its importance in the production to save the resources,improve the desirable outputs, and decrease the undesirable outputs,especially reduce the environmental pollution.

Agricultural Development of Nanjing Suburban Counties based on Contribution Models of Production Factors

According to data in Nanjing Statistical Yearbook, contribution made by agricultural production factors was analyzed with contribution models of agricultural factors and the results showed that with restriction of labor force and land, Nanjing suburban counties have entered into a stage of ＂high input-high output＂, considering no matter from agricultural total value of output or from agricultural added value. In future, structure configuration of agricultural input factors should be optimized in Nanjing suburban counties by technology input to improve agricultural technology and technical efficiency in order to further achieve sustainable development of agriculture.

控制方向未知的受限多智能体系统的预设时间模糊控制

综合考虑受控制方向未知、输入受限和状态时延影响的有领导者多智能体系统的编队控制问题,设计基于模糊逻辑系统的预设时间一致性控制策略.为了保证编队输出误差在预设时间内满足预定的约束范围要求,引入预设时间性能函数,构造Lyapunov-Krasovskii(L-K)泛函解决状态时延问题,将外界干扰和L-K泛函的导数中的部分项定义为未知非线性函数,并利用模糊逻辑系统对其进行估计,利用Nussbaum函数和均值定理分别处理控制方向未知和输入受限问题,基于以上设计,提出预设时间模糊控制策略,并通过Lyapunov稳定性理论,分析闭环系统的有界稳定性,数值对比仿真和两级化学反应器应用仿真说明控制方法的有效性.

离散时间多智能体系统间歇事件触发输出一致性

对离散时间多智能体系统间歇事件触发输出一致性进行了研究。首先,结合间歇控制和事件触发机制,针对离散多智能体系统提出一个输出一致性控制协议。然后,构造误差系统,基于Lyapunov稳定性理论得到了依赖于网络的Laplacian矩阵和系统增益的输出一致性条件,实现离散时间多智能体系统间歇事件触发输出一致性。最后,利用具体的仿真例子对结果的有效性进行分析验证。

台风灾害影响的产业链跨部门传导机制——以台风“天鸽”为例

极端天气事件会通过产业链对经济系统产生级联影响,现有研究聚焦极端天气事件影响评估,但仍未明晰极端天气事件影响在经济系统产业链的跨部门传导机制。该文通过整合自适应区域投入产出模型、结构路径分析和介数中心性分析方法,以台风“天鸽”为例,揭示了台风灾害影响对广东省产业链的跨部门传导机制。研究发现,台风“天鸽”造成广东省经济损失共310亿元,其中间接损失占13%。在台风灾害发生阶段,造成经济损失的关键传导路径与建筑业紧密相关,如非金属矿物制品业→建筑业;关键传输部门包括通信设备、计算机和其他电子设备制造业,金属冶炼和压延加工业等;典型的关键部门间关联包括金属冶炼和压延加工业→建筑业等。在重建阶段,金属矿采选业、金融业、房地产业等部门从重建需求中获得较多经济收益。研究为提高产业链适应能力和灾后资金分配提供决策支持。

减速器推力轴承定位偏差影响轴系径向跳动异常分析

双螺杆挤出机是一种常用的塑料加工设备,在双螺杆挤出机减速器的生产制造过程中,出现了输出轴径向误差检测异常现象。输出轴转动两周,百分表指针检测数值从零点回到零点。本文从推力轴承结构方面对其进行分析,详细介绍了出现此种情况的原因及解决此问题的方案。

A Model for Retrieval of Dual Linear Polarization Radar Fields from Model Simulation Outputs

An algorithm for retrieving polarimetric variables from numerical model fields is developed. By using this technique, radar reflectivity at horizontal polarization~ differential reflectivity, specific differential phase shift and correlation coefficients between the horizontal and vertical polarization signals at zero lag can be derived from rain, snow and hail contents of numerical model outputs. Effects of environmental temperature and the melting process on polarimetric variables are considered in the algorithm. The algorithm is applied to the Advanced Regional Prediction System （ARPS） model simulation results for a hail storm. The spatial distributions of the derived parameters are reasonable when compared with observational knowledge. This work provides a forward model for assimilation of dual linear polarization radar data into a mesoscale model.

Ocean Data Assimilation with Background Error Covariance Derived from OGCM Outputs

The background error covariance plays an important role in modern data assimilation and analysis systems by determining the spatial spreading of information in the data. A novel method based on model output is proposed to estimate background error covariance for use in Optimum Interpolation. At every model level, anisotropic correlation scales are obtained that give a more detailed description of the spatial correlation structure. Furthermore, the impact of the background field itself is included in the background error covariance. The methodology of the estimation is presented and the structure of the covariance is examined. The results of 20-year assimilation experiments are compared with observations from TOGA-TAO (The Tropical Ocean-Global Atmosphere-Tropical Atmosphere Ocean) array and other analysis data.

Research trends, hot spots and prospects for necroptosis in the field of neuroscience

There are two types of cell death-apoptosis and necrosis. Apoptosis is cell death regulated by cell signaling pathways, while necrosis has until recently been considered a passive mechanism of cell death caused by environmental pressures. However, recent studies show that necrosis can also be regulated by specific cell signaling pathways. This mode of death, termed necroptosis, has been found to be related to the occurrence and development of many diseases. We used bibliometrics to analyze the global output of literature on necroptosis in the field of neuroscience published in the period 2007–2019 to identify research hotspots and prospects. We included 145 necroptosisrelated publications and 2239 references published in the Web of Science during 2007–2019. Visualization analysis revealed that the number of publications related to necroptosis has increased year by year, reaching a peak in 2019. China is the country with the largest number of publications. Key word and literature analyses demonstrated that mitochondrial function change, stroke, ischemia/reperfusion and neuroinflammation are likely the research hotspots and future directions of necroptosis research in the nervous system. The relationship between immune response-related factors, damage-associated molecular patterns, pathogen-associated molecular patterns and necroptosis may become a potential research hotspot in the future. Taken together, our findings suggest that although the inherent limitations of bibliometrics may affect the accuracy of the literature-based prediction of research hotspots, the results obtained from the included publications can provide a reference for the study of necroptosis in the field of neuroscience.

Development trend and prospect of solid phase extraction technology

Solid phase extraction is widely used in sample pretreatment,concentration and analysis processes due to high selectivity and suitability for low concentration sample system.In this review,we systematically summarized and discussed the development trends of solid phase extraction by bibliometrics method.By analyzing papers output scale,the research and development direction of solid phase extraction technology is prospected.We also give an overview on current strategies of novel solid phase extraction from the separation medium and separation technology.The paper aims to describe the global research profile and the development trends of solid phase extraction,to help researchers to accurately grasp the research trend and to provide support for scientific research institutions to formulate scientific policies and strategic plans.Furthermore,the prospect of the development and application of solid phase extraction is also discussed.

Prediction of efficient outputs based on GM(1,N) model and weak DEA efficiency

This paper expresses the efficient outputs of decisionmaking unit（DMU） as the sum of ＂average outputs＂ forecasted by a GM（1,N） model and ＂increased outputs＂ which reflect the difficulty to realize efficient outputs.The increased outputs are solved by linear programming using data envelopment analysis efficiency theories,wherein a new sample is introduced whose inputs are equal to the budget in the issue No.n ＋ 1 and outputs are forecasted by the GM（1,N） model.The shortcoming in the existing methods that the forecasted efficient outputs may be less than the possible actual outputs according to developing trends of input-output rate in the periods of pre-n is overcome.The new prediction method provides decision-makers with more decisionmaking information,and the initial conditions are easy to be given.