Consistency of Water Production Function Models of Two Crops

On basis of test information, the research performed analysis on water production function models of two crops, which indicated that water model of crops in whole growth stage and water model of crops indifferent growth stages have consistency as well as differences, providing references for optimization of irrigation water. Meanwhile, the research analyzed the deficiency of optimization on irrigation water for crops just by Jensen model.

On Enforcing Dyadic-type Homogeneous Binary Function Product Constraints in MatBase

Homogeneous binary function products are frequently encountered in the sub-universes modeled by databases,spanning from genealogical trees and sports to education and healthcare,etc.Their properties must be discovered and enforced by the software applications managing such data to guarantee plausibility.The(Elementary)Mathematical Data Model provides 17 types of dyadic-based homogeneous binary function product constraint categories.MatBase,an intelligent data and knowledge base management system prototype,allows database designers to simply declare them by only clicking corresponding checkboxes and automatically generates code for enforcing them.This paper describes the algorithms that MatBase uses for enforcing all 17 types of homogeneous binary function product constraint,which may also be employed by developers without access to MatBase.

Saline Water Irrigation Scheduling Through a Crop-Water-Salinity Production Function and a Soil-Water-Salinity Dynamic Model

Using a crop-water-salinity production function and a soil-water-salinity dynamic model, optimal irrigation scheduling was developed to maximize net return per irrigated area. Plot and field experiments were used to obtain the crop water sensitivity index, the salinity sensitivity index, and other parameters. Using data collected during 35 years to calculate the 10-day mean precipitation and evaporation, the variation in soil salinity concentrations and in the yields of winter wheat and cotton were simulated for 49 irrigation scheduling that were combined from 7 irrigation schemes over 3 irrigation dates and 7 salinity concentrations of saline irrigation water (fresh water and 6 levels of saline water). Comparison of predicted results with irrigation data obtained from a large area of the field showed that the model was valid and reliable. Based on the analysis of the investment cost of the irrigation that employed deep tube wells or shallow tube wells, a saline water irrigation schedule and a corresponding strategy for groundwater development and utilization were proposed. For wheat or cotton, if the salinity concentration was higher than 7.0 g L-1 in groundwater, irrigation was needed with only fresh water; if about 5.0 g L-1, irrigation was required twice with fresh water and once with saline water; and if not higher than 3.0 g L-1, irrigation could be solely with saline water.

Energy Dependence of String Fragmentation Function and Ф Meson Production

The meson productions in Au+Au and/or Pb+Pb collisions at AGS, SPS, RHIC, and LHC energies have been studied systematically with a hadron and string cascade model LUCIAE. After considering the energy dependence of the model parameter α in string fragmentation function and adjusting it to the experimental data of charged multiplicity to a certain extent, the model predictions for meson yield, rapidity, and transverse mass distributions are compatible with the experimental data at AGS, SPS and RHIC energies. A calculation for Pb+Pb collisions at LHC energy is given as well. The obtained fractional variable in string fragmentation function shows a saturation in energy dependence. It is discussed that the saturation of fractional variable in string fragmentation function might be a qualitative representation of the energy dependence of nuclear transparency.

Review of Carbon Emissions Trading Production Model and Research on Its Applications in China

With the Kyoto Protocol entering into effect in many countries one after another,carbon trading has come into being and developed quickly.China is the main supplier of carbon emissions rights in the world,but such transactions are still in the stage of Clean Development Mechanism (CDM) projects without its own trading system,which is not conducive for China to win the rights of carbon pricing in the international market.Low-carbon and emissions reduction is the international trend nowadays,and therefore,it is particularly necessary and urgent to investigate the issue of carbon trading in China.In this paper,the authors have reviewed Putty-Clay Vintage,which is a model of production function for carbon trading,revealing the main points,contributions and shortcomings of the model.Combined with China's national conditions,the authors have investigated the application of this model in China's carbon trading from four different angles,including enterprise production optimization,financial market development,national macro-economy,and the allocation of emission quota.This study aims to provide China's enterprises with an analytical framework when participating in carbon trading in the future and it is beneficial for them to make optimal production planning when considering the cost of carbon emissions reduction.

Analysis on Technical Efficiency and Influencing Factors of Rapeseed Production

Based on micro survey data of 344 rapeseed farmers in 19 rapeseed counties of Hubei Province,with the aid of stochastic frontier production function model and efficiency loss model,this paper analyzed basic production situations,demographic characteristics of rapeseed farmers,technical efficiency loss,and main influencing factors. In Hubei Province,there are mainly following problems in rapeseed production: serious aging of rapeseed farmers; relatively scarce labors; the middle-aged and old farmers have higher technical efficiency level; with increase in farmer age,their technical efficiency firstly declines and then rises. In view of these situations,it came up with recommendations including raising educational level of rapeseed farmers to realize large scale economy and effectively reduce technical efficiency loss,and local government,specialized associations and agricultural machinery extension departments should provide proper technical guidance according to demands of farmers to reduce technical efficiency loss.

Model-Driven Derivation of Domain Functional Requirements from Use Cases

Domain analysis is essential to core assets development in software product line engineering. Most existing approaches, however, depend on domain experts’ experience to analyze the commonality and variability of systems in a domain, which remains a manual and intensive process. This paper addresses the issue by proposing a model-driven approach to automating the domain requirements derivation process. The paper focuses on the match between the use cases of existing individual products and the domain functional requirements of a product line. By introducing a set of linguistic description dimensions to differentiate the sub-variations in a use case, the use case template is extended to model variability. To this end, a transformation process is formulated to sustain and deduce the information in use cases, and to match it to domain functional requirements. This paper also presents a prototype which implements the derivation as a model transformation described in a graphical model transformation language MOLA. This approach complements existing domain analysis techniques with less manual operation cost and more efficiency by automating the domain functional requirements development.

Impact of Education on Productivity:A Model in China

Improving the quality of human resources through edu-cation and training is of great strategic significance.However, few people have done in depth and systematicstudies on the relationship between education and pro-ducttvity in China. This study developed an educationproductivity transform model and empirically tested themodel using data on the most districts of China. The ba-sic notion is that the effect depends both on the capabilityresulted from education, and on the environment inwhich this capability can be exercised, the effect is a re-sult of two factors combined.

Empirical Analysis of Gross Domestic Product and Coal Import Based on VAR Model

The speed of China’s economic development is gradually accelerating, and the demand for energy is also constantly increasing, especially the demand for coal. In order to reveal whether the coal imports have an impact on China’s economic development, this paper constructs the VAR(6) model by selecting the quarterly data of coal imports (CIV) and gross domestic product (GDP) from 2002 to 2017, performing ADF (Augmented Dickey-Fuller) stationarity test and Johansen cointegration test. It shows that there is a long-term stable equilibrium relationship between coal imports and GDP. Then the impulse response function is used to obtain the relationship between coal imports and GDP. It is found that the impact of coal imports on GDP is greater than the impact of GDP on coal imports.

1T′‐MoTe_(2) monolayer:A promising two‐dimensional catalyst for the electrochemical production of hydrogen peroxide

The direct synthesis of hydrogen peroxide(H_(2)O_(2))via a two‐electron oxygen reduction reaction(2e‐ORR)in acidic media has emerged as a green process for the production of this valuable chemical.However,such an approach employs expensive noble‐metal‐based electrocatalysts,which severely undermines its feasibility when implemented on an industrial scale.Herein,based on density functional theory computations and microkinetic modeling,we demonstrate that a novel two‐dimensional(2D)material,namely a 1T′‐MoTe_(2)monolayer,can serve as an efficient non‐precious electrocatalyst to facilitate the 2e‐ORR.The 1T′‐MoTe_(2)monolayer is a stable 2D crystal that can be easily produced through exfoliation techniques.The surface‐exposed Te sites of the 1T′‐MoTe_(2)monolayer exhibit a favorable OOH*binding energy of 4.24 eV,resulting in a rather high basal plane activity toward the 2e‐ORR.Importantly,kinetic computations indicate that the 1T'‐MoTe_(2)monolayer preferentially promotes the formation of H_(2)O_(2)over the competing four‐electron ORR step.These desirable characteristics render 1T′‐MoTe_(2)a promising candidate for catalyzing the electrochemical reduction of O_(2)to H_(2)O_(2).

Dependence of Consumption Volume on the Labor-Force in One-Productive Models of Economic Dynamics

In the work one-productive model of economic dynamics the labor-force involved in production is investigated the case when or function with constant elasticity of substitution （CES） is studied. is considered. The dependence of the consumption volume on production function coincides with the Cobb-Douglas function

关于函数逼近法理论的一点认识

现有教材中常将本质相同的连续函数最佳平方逼近问题、离散数据最小二乘曲线拟合问题分开阐述.本文重新组织现有理论结构给出一般性结论同时也阐述两类问题的区别——最小二乘法思想在空间理论上的统一、同一向量组在不同线性空间中线性无关性表达形式的不同、元素在不同线性空间上内积表达式的差异.最后通过例题说明两类问题求解步骤的统一——连续函数最佳平方逼近也需要“造型”,并通过实例显示同一向量组的线性无关性在不同空间中的具体表现.这种新的知识点组织方式即避免了相同公式的重复性推导,又可使学生通过比较学习避免混淆便于理解.

更融合vs.更分离——功能分离程度如何影响产品使用意愿

同时具备两种或多个类别的产品功能的新产品被称为融合产品。过往关于融合产品的文献缺乏对功能分离程度的探究。对此,本研究基于技术接受模型,探究融合产品的功能分离程度对消费者产品使用意愿的影响机制。四项研究考察了消费者对融合产品有用性和易用性的感知,以及这些感知如何随功能的互补性变化。结果表明,融合产品的功能分离程度越高,消费者对其的感知有用性越高,感知易用性越低,而互补性会负向调节功能分离程度对感知有用性的作用,即对功能具有互补性的产品而言,其功能分离程度越低,产品使用意愿越高。因此,企业在开发融合产品时,应根据产品功能的互补性决定新产品的功能分离程度。本文弥补了现有研究中缺乏对功能分离程度关注这一不足,对企业设计和开发新产品具有重要的实践意义。

基于修正的C-D生产函数模型的吉林省粮食增产潜力分析和预测

首先运用修正的C-D生产函数模型对以往的吉林省粮食增产潜力及其影响因素进行建模分析,然后对各影响因素进行趋势分析,最后用修正的C-D生产函数模型对吉林省的粮食增产潜力进行预测。

C-D生产函数在林产品投入产出中的应用研究

本文运用C D生产函数,并结合闽西北毛竹的密度效应模型和产量模型,对其进行弹性分析和边际产量分析。提出用C D生产函数建立毛竹密度效应模型的优越性,为达到合理、高效的营林工作提供科学依据。

咸阳市土地利用及生态系统服务价值时空变化

为掌握咸阳市土地利用变化特征及生态系统服务价值变化规律,采用土地利用转移矩阵分析咸阳市土地利用变化,并对其生态系统服务价值进行评估分析,结果显示:(1)土地利用占比由大到小依次为:耕地>水域>林地>建设用地>未利用地;(2)人类活动对土地利用的影响程度在逐渐加深,林地和建设用地的利用程度均呈上升趋势;(3)咸阳市的土地利用变化主要是耕地向建设用地转移以及耕地与林地的互相转移;(4)2003—2021年咸阳市生态系统服务价值增加3.2301亿元,整体呈先增长后减少的趋势;(5)除供给服务价值呈持续减少趋势外,调节服务价值、支持服务价值和文化服务价值均呈先增加后减少趋势。研究结果可为优化土地利用结构和布局,协调土地管理与生态环境关系提供依据。

基于数据融合模型的产品意象造型评价方法研究

目的为解决在产品意象评价中由于蝴蝶效应的存在而导致评价结果出现偏差、案例库选取不准确等问题,提出了一种基于数据融合模型的产品意象造型评价方法。方法首先确定研究样本和感性意象,基于语义差异法设置调查问卷,进行了产品感性意象调查,挖掘用户的感性需求;其次通过模拟退火算法优选改进支持度函数参数,构建用户感性需求数据融合模型;然后以用户感性需求数据平均值和数据融合值作为输入进行对比,展开产品意象造型评价,指导最优方案的选取;最后以鼠标为例对所提方法进行实例验证。结论基于数据融合模型的产品意象造型评价方法相较于传统平均值数据分析更为准确和客观,可有效把握用户的情感需求,减少产品意象造型评价的误差,指导产品典型案例库的选取。

“浙江模式”的C-D形式检验及启示——基于CES生产函数

基于两要素固定替代弹性(CES)生产函数,根据浙江1978—2006年的经济数据测算出浙江资本和劳动的固定替代弹性系数接近于1,证明了C-D生产函数形式是分析改革开放以来浙江经济增长的合适工具,说明新古典增长理论较好地刻画了浙江经济增长的事实;实证结果同时也从相反的方面启示我们,浙江依靠传统要素红利带来的经济增长必不长久,必须寻求加快科技进步和产业结构优化等新的经济增长点。

经济不确定性与中国经济增长——基于FAVAR-SV模型和新C-D生产函数

经济不确定性的测度是一个复杂而困难的过程,本文首次应用因子增广向量自回归(FAVAR-SV)模型,采用158个宏观指标合成宏观经济不确定性指数;并利用扩展的C-D生产函数,采用29个省市、自治区面板数据,基于内生经济增长视角,将不确定性指数与科技进步纳入模型,考察经济不确定性对经济增长的影响。研究表明,宏观经济不确定性指数是反经济周期变量、测度结果稳定、能够迅速识别发生概率小于10%的"黑天鹅"事件,并与实际经济活动相符;经济不确定性指数对经济增长具有抑制作用,其滞后项的影响明显减弱,这源于政府相关政策的实施。单一类别指标股票不确定性会缩小宏观经济不确定性的实际影响,因此,利用丰富数据环境测度不确定性具有一定的优势。

外商直接投资的技术外溢效应——基于C-D生产函数的数理模型与对我国的经验研究

外商直接投资(下文简称为FDI)是否具有正的技术外溢效应一直存有争议。为验证这一问题,笔者拓展了C-D生产函数模型,评估了FDI的技术外溢效应。经验研究证实,中国在引进外资过程中的确获取了正的技术外溢效应。