The Influencing Factors and Improvement Paths of Applied Talent Training Mode under the Digital Informatization

This study takes the human resource management major of Guangzhou Institute of Science and Technology as an example to discuss the factors influencing the applied talent training mode and improvement paths under digital informatization.The research points out that digital informatization poses new challenges and opportunities to higher education and requires the applied talent training mode to practice and innovate.This study identified five key influencing factors of the applied talent training mode under digital informatization:curriculum setting,teaching methods,faculty structure,practical teaching,and student training.This research presents the improvement paths,including optimizing curriculum settings,innovating teaching methods,adjusting teacher structure,improving practical teaching,and creating student training.Implementing these paths will help students master the latest knowledge and skills of digital informatization,improve their practical ability and innovative thinking to meet the social demand for human resource management professionals,and promote the development of higher education system.

Influencing Factors and Improvement Suggestions for Agricultural Green Development Performance:Empirical Insights from China

Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green development performance and how such performance can be improved.A theoretical framework for agricultural green development performance was constructed in this paper using the Super-SBM model,which considers undesirable outputs,to measure the agricultural green development performance of 330 cities at or above the prefecture level in China(excluding Tibet Autonomous Region,Hong Kong,Macao and Taiwan of China)from 2007 to2018.Furthermore,the influencing mechanism of agricultural green development performance was then analyzed using a spatial econometric model.The results show that:1)from 2007 to 2018,China’s agricultural green development performance experienced three stages of evolution:‘rise,decline and rise’.2)The regions with high performance agricultural green development are mainly distributed in eastern China,northeastern China,and southern Qinghai Province.3)The agricultural economic level,industrialization process,and labor quality play significant roles in promoting local agricultural green development performance,while such performance is obviously inhibited by the openness level and the government’s environmental regulations.Local agricultural green development performance is significant inhibited by the agricultural economic level and accelerated industrialization process in neighboring cities,while significantly promoted by the agricultural industrial structure in neighboring cities.Some suggestions for improving agricultural green development performance are proposed based on these research results,which can provide scientific references for promoting sustainable agriculture.

Stimulated Brillouin Scattering Enhancement Factor Improvement in a 11.6-GHz-Linewidth 1.5-kW Yb-Doped Fiber Amplifier

The stimulated Brillouin scattering （SBS） threshold enhancement factor in a pure white noise linewidth broad- ening Yb-doped fiber amplifier （YDFA） with a short large mode area fiber is theoretically and experimentally studied. We demonstrate a 1064.08nm, 11.6 GHz finewidth, 1.5 k W output power YDFA with an SBS threshold enhancement of -57 （26 W SBS threshold with single frequency seed）. The output beam is near-diffraction lim- ited with a beam quality factor elM2 = 1.15 and a slope efficiency of up to 87%. No SBS or stimulated Raman scattering effects are observed in the whole power range. Further power sealing is limited by the available pump power in our system.

Research on Knowledge Transfer Influencing Factors in Software Process Improvement

Knowledge transfer model of software process improvement (SPI) and the conceptual framework of influencing factors are established. The model includes five elements which are knowledge of transfer, sources of knowledge, recipients of knowledge, relationship of transfer parties, and the environment of transfer. The conceptual framework includes ten key factors which are ambiguity, systematism, transfer willingness, capacity of impartation, capacity of absorption, incen-tive mechanism, culture, technical support, trust and knowledge distance. The research hypothesis is put forward. Em-pirical study concludes that the trust relationship among SPI staffs has the greatest influence on knowledge transfer, and organizational incentive mechanism can produce positive effect to knowledge transfer of SPI. Finally, some sug-gestions are put forward to improve the knowledge transfer of SPI: establishing a rational incentive mechanism, exe-cuting some necessary training to transfer parties and using software benchmarking.

Influencing Factors and Improvement Strategy to the Quality of Nursing Work Life: A Review

This review introduces the definition, influencing factors and improvement strategy to the quality of nursing work life, which can provide references for nursing managers to understand the factors affecting the quality of nursing work life and choose effective measures to improve the quality of nursing work life.

Empirical Research on Critical Success Factors of Agile Software Process Improvement

In this paper, we discuss agile software process improvement in P company with their description of process management in current level and analysis of problems, design the P Company success factors model in organizational culture, systems, products, customers, markets, leadership, technology and other key dimensions, which is verified through questionnaire in P company. In the end, we apply knowledge creation theory to analyze the open source software community with successful application of the typical agile software method, propose ten principles of knowledge creation in open source software community: Self-organizing, Code sharing, Adaptation, Usability, Sustention, Talent, Interaction, Collaboration, Happiness, and Democracy.

Factors Influencing the Implementation of Drug Standards Improvement in China

Objective To explore the factors influencing the implementation of drug standards improvement in China,and to offer some suggestions for improving drug standards.Methods Factor analysis was used to investigate the influencing factors by referring to the literatures,experts’interview and collecting data through questionnaire,and then data were analyzed by SPSS21.0 statistical software.Results and Conclusion The results showed that there were four factors that affecting the plan of the national drug standards improvement.They were mechanism factor,design factor,constraint factor and motivation factor.And corresponding management suggestions for improving the efficiency of the plan were put forward.

The Research Self-Efficacy of Elementary Teachers:Current status,Factors,and Strategies for Improvement

Research self-efficacy is of great significance for teachers to improve their interest and achievements in scientific research.In this study,261 elementary teachers were surveyed through online questionnaires to understand their research self-efficacy.The results showed that most elementary teachers have good research self-efficacy;education background,years of teaching,research environment,and attitude toward research all had influence on the research self-efficacy of elementary teachers.Based on this situation,schools should make efforts,such as improving communication,providing financial support,establishing a scientific research support center,and helping teachers under unfavorable situations.For elementary teachers,they should realize the importance of education research and improve their research literacy。

Impact factors and improvement measures of enviroment quality in cleaning operating room

Objective To analyze the factors that impact the environment quality of cleaning operating room and to discuss improvement measurement. Methods Environment bacteria testing results and prevalence of surgical incision infection in cleaning operating room were retro-

Scalp electroacupuncture at the Baihui acupoint (DU 20) improves functional recovery in rats with cerebral ischemia Association with increased expression of vascular endothelial growth factors

In this study, we induced cerebral infarction in rats by occluding the right middle cerebral artery, and tested the effects of electroacupuncture at the Baihui acupoint （DU 20）. Motor and sensory function was tested using Garcia’s scale and motor weakness grading, and the expression of vascular endothelial growth factor in the brain was quantified using immunoblotting and immunohistochemistry. We found that scalp electroacupuncture at DU 20 significantly improved motor performance and sensory function in rats with stroke, and this was accompanied by an increased expression of vascular endothelial growth factor in the ischemic brain tissue and peri-ischemic area. In addition, Pearson correlation analysis showed that the improvements in functional recovery were correlated with the increased expression of vascular endothelial growth factor.

Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application

Software projects influenced by many human factors generate various risks. In order to develop highly quality software, it is important to respond to these risks reasonably and promptly. In addition, it is not easy for project managers to deal with these risks completely. Therefore, it is essential to manage the process quality by promoting activities of process monitoring and design quality assessment. In this paper, we discuss statistical data analysis for actual project management activities in process monitoring and design quality assessment, and analyze the effects for these software process improvement quantitatively by applying the methods of multivariate analysis. Then, we show how process factors affect the management measures of QCD (Quality, Cost, Delivery) by applying the multiple regression analyses to observed process monitoring data. Further, we quantitatively evaluate the effect by performing design quality assessment based on the principal component analysis and the factor analysis. As a result of analysis, we show that the design quality assessment activities are so effective for software process improvement. Further, based on the result of quantitative project assessment, we discuss the usefulness of process monitoring progress assessment by using a software reliability growth model. This result may enable us to give a useful quantitative measure of product release determination.

FACTOR ANALYSIS ON IMPROVING THE PRODUCTIVITY OF THE NONFERROUS METALS INDUSTRY (1)

The productivity of China’s nonferrous metals industry during 1980-1990 has been analysed. The important factors which constrain the productivity of the nonferrous metals industry have been studied, the methods of improving the productivity of the nonferrous metals industry have been discussed.

Development of a Competitiveness Improvement Framework for Forensic Science Laboratories

This study presents a methodology used in developing the competitiveness improvement framework (CIF) for laboratories, in particular, Forensic Science Laboratories (FSLs). The cyclic nature of FSL processes allowed data collection for the purpose of identification of factors affecting FSL performance (cause factors). Flow charts were used to represent mathematical formulations for cause factor measurements and quantification of the baseline data on turnaround time (TAT), backlogs for case files (Bg), turnaround time in the supply chain (Tsc), and employee absenteeism (Ab). By quantifying the cause factors in addition to academic development coefficient (Ad) and complex longevity (Lc) for FSL employees, it was possible to establish the organizational design features requiring improvements. The relevance of cause factors to FSL stakeholders and means of improvement and sustainability were established. A detailed road map towards CIF was presented using D-MAIC methodology. The rated cause factors based on challenges in the FSL business environment were subjected to Pareto analysis to prioritize the challenges in order to improve FSLs’ competitiveness. The interrelationship between the three dimensions of competitiveness improvement (process, performance and planning) was presented in terms of the affected six cause factors. Also, the potential lean practices for improving competitiveness of FSL based on measured cause factors have been presented. This paper introduced methods and measures for improving operational competitiveness of laboratories. The CIF was finally presented in a form of a series of three flow charts summarizing all steps implemented in its development with inputs and cause factors involved.

The Influences of Affecting the Improvement of Spoken English

Analyze what influence is brought by the linguistic psychology and the psychology of character deficiency in the process of improving spoken English.It's divided into two categories: one is the linguistic psychology making the learner's expression unclear,the other is the character deficiency making the learners fear to speak English.

A Study of the Effect of Soil Improvement Based on the Numerical Site Response Analysis of Natural Ground in Babol City

A series of numerical calculations have been performed to investigate the effect of soil improvement on seismic site response. Seismic site response analyses were also performed using data collected from a study area in Babol city. The improved site is a composite ground and has more or less different mechanical properties than the natural ground. In this research, the influence of the elastic modulus of the pile, the pile distance ratio, ground motion input, distance to fault rupture, and PGA of the earthquakes on seismic response characteristics are especially investigated. The results reveal that the values of the PGA and amplification factor on the surface of the natural and improved grounds depend strongly on the fundamental period of the site, the predominant period, and the intensity of the ground motion input. The acceleration response spectra also are affected by the characteristics of ground motion input and soil layers. Changing the pile distance ratio doesn’t have a significant effect on the seismic response of the site.

Research on Reactive Power Optimization of Offshore Wind Farms Based on Improved Particle Swarm Optimization

The lack of reactive power in offshore wind farms will affect the voltage stability and power transmission quality of wind farms.To improve the voltage stability and reactive power economy of wind farms,the improved particle swarmoptimization is used to optimize the reactive power planning in wind farms.First,the power flow of offshore wind farms is modeled,analyzed and calculated.To improve the global search ability and local optimization ability of particle swarm optimization,the improved particle swarm optimization adopts the adaptive inertia weight and asynchronous learning factor.Taking the minimum active power loss of the offshore wind farms as the objective function,the installation location of the reactive power compensation device is compared according to the node voltage amplitude and the actual engineering needs.Finally,a reactive power optimizationmodel based on Static Var Compensator is established inMATLAB to consider the optimal compensation capacity,network loss,convergence speed and voltage amplitude enhancement effect of SVC.Comparing the compensation methods in several different locations,the compensation scheme with the best reactive power optimization effect is determined.Meanwhile,the optimization results of the standard particle swarm optimization and the improved particle swarm optimization are compared to verify the superiority of the proposed improved algorithm.

Restraining Factors and Improving Paths for the Operation Mechanism of New Rural Cooperative Medical System in China

The new rural cooperative medical system has achieved periodical achievements since its establishment.Nevertheless,there are many factors hampering the development of the new system,such as the high cost,the difficulties in fund procurement,the lack of management,the narrow coverage of benefit,the ineffective constraint to the designated medical institutions,the high fund balance rate,and the poor medical facilities and services in rural areas.Countermeasures are put forward to solve these problems,including improving the system design,expanding the coverage of the system,expanding the fund sources,reducing the financing costs,strengthening the fund supervision,enhancing the supervision of designated medical institutions,and improving the capacity of health services in rural areas.

基于改进蚁群算法的机器人全局路径规划

针对传统蚁群算法存在初始信息素缺乏、收敛速度慢以及无法有效躲避障碍物等问题,文中提出了一种基于改进蚁群算法的全局路径规划。引入正态分布函数改进传统启发函数,提高了算法效率,缩短了算法收敛所需时间。自适应调整信息素挥发系数,限定信息素范围,避免过早收敛。对算法路径平滑处理,缩短路径长度,从而实现机器人的全局路径规划。仿真结果表明,在20×20环境下,文中算法平均迭代次数比传统蚁群算法减少了28代,收敛速度更快。平均拐点减少了33.3%,使路径更为平滑,克服了初始信息素缺乏,加快了收敛速度,减少了拐点数量,能够有效躲避环境中的障碍物,证明了该算法的可行性。

税收营商环境优化与企业全要素生产率——来自税务系统“放管服”改革的经验证据

优化税收营商环境不仅是提高企业生产效率和推动企业转型升级的重要战略举措,而且对实现经济高质量发展具有十分重要的现实意义。本文基于2013—2020年A股上市公司数据,并借助税务系统“放管服”改革试点这一准自然实验,构建多期双重差分模型,实证考察了税收营商环境优化对企业全要素生产率的影响。研究表明,税务系统“放管服”改革对企业全要素生产率具有显著的正向影响,且该结论经过一系列稳健性检验依然成立。机制检验结果显示,税收营商环境优化主要是通过降低交易成本水平、提升资源配置效率以及鼓励技术创新来提高企业全要素生产率。异质性分析表明,对于中西部地区企业、非国有企业、环境不确定性高企业和成熟期企业,税收营商环境优化对企业全要素生产率的促进作用相对更加突出。随后的进一步分析表明,税收营商环境优化在提升企业全要素生产率的同时显著促进了企业经营规模扩大和产业链扩张。本文以上研究结论不仅能使我们更好地认识税收营商环境优化的经济效应,更是为培育有利于激发市场主体活力及推动企业提质增效的税收营商环境提供了经验证据与有益启示。

含大规模分布式光伏接入电网的无功电压控制降损方法研究

大规模分布式光伏(distributed photovoltaic,DP)接入电网后,电网电压易出现大幅度波动,导致电网损失问题越来越突出。当前已有的电网降损方法没有考虑光伏发电自身的无功调节能力,应用效果不理想。为此,设计一种含大规模DP接入电网的无功电压控制降损方法。通过建立目标函数,设定约束条件,采用敏感性分析方法分析电压稳定性,将敏感度较高的值作为无功补偿位置,并对当前负荷进行预测,确定最佳的补偿容量,实现电网降损。试验结果表明:所提方法降损后较降损前基准电压更趋于1 pu,更为稳定,所提方法能够针对光伏控制接入分布特性,有效控制无功功率变化情况,相对于其他方法,无功功率波动较小,表现出较好的降损效果。