bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on the Impact of Macro Uncertainty on the Volatility of China's Carbon Emissions Trading Market
Authors: Lv Lilong , Jiang Huilin , Yang Yongqiang , Chen Siyao
Published: November 2022

This paper selects three carbon emissions trading prices in Tianjin, Guangzhou and Hubei for the period 2019-2021 as the samples and conducts a cross-sectional and longitudinal analysis of their volatility. The study shows that: (1) the price volatility and price level of carbon market in the three places differ significantly, and the difference between the highest and lowest price is significant; (2) the standard deviation of the logarithmic return of carbon trading pilot in the three places is large, and the riskiness of carbon trading is high. Based on this, this paper puts forward suggestions in four aspects: accelerating the improvement of basic system guarantee, accelerating the construction of national carbon market system, steadily promoting the construction of national carbon market, and establishing carbon market risk identification and prevention mechanism.
Research on the Present Situation, Problems and Countermeasures Under the Integration of Digital Economy and Agricultural Economy
Authors: Shan Zhuowen , Wang Fei , Tao Yang , Feng Yuan
Published: November 2022

Based on the actual situation of economic development in rural areas of China, this paper explains the practice of the integration of rural economy and digital economy. At present, with the development of digital economy, the integration of digital economy and agricultural economy has become the basic way to improve the development level of agricultural modernization, and it is also an important means to promote the high-quality development of rural economy, the structural reform of agricultural supply side and the rural revitalization strategy. However, as far as the current development stage is concerned, there are still problems in digital infrastructure, digital sharing, personnel training and related laws and regulations. According to the related problems, this paper puts forward corresponding solutions, and strives to provide more theoretical and guiding experience for the realization of China's agricultural modernization development and rural revitalization strategy.
On Domestication and Foreignization in the Translation of Lure Fishing Gear
Authors: Liu Huan
Published: November 2022

China is the largest fishing gear market around the globe at present, and the fishing gear export and production are both the first in the world. Under the influence of COVID-19 and increasing publicity by we-media, fishing has been favored by more and more people. Although lure fishing is a relatively novel fishing sport in China, but its market potential is huge. Different from the traditional fishing methods, lure fishing has not been introduced into China for long, so the translation of the names of these fishing gears is of vital importance. From the perspectives of domesticating and foreignizing translation strategies, this paper analyzes the characteristics of the original names and translated names of some lure fishing gears, and further realizes the similarities and differences between Chinese and English languages.
Discussion on the Strategy of Transforming Enterprise Financial Accounting into Management Accounting in The Era of Big Data
Authors: Cui Yining , Fang Yu , Luo Jia , Zheng Jixiao
Published: November 2022

The advent of the era of big data has caused great impact on enterprise financial management, but at the same time, enterprise financial management has also ushered in the opportunity of innovation and development. As a modern enterprise under the new economic situation, financial personnel should not only do a good job of self-positioning, but also conform to the development needs of the big data era, speed up the transformation and upgrading of enterprise financial accounting mode to management accounting mode, and formulate a transformation and upgrading scheme that is closely integrated with enterprise development, so as to ensure that enterprises are always in a favorable position in the fierce market competition on the premise of enhancing their comprehensive competitiveness. This paper mainly discusses and analyzes the strategy of financial accounting to management accounting in the era of big data.
The Influence of Accounting Information Disclosure on Perfecting Corporate Governance Mechanism
Authors: Gao Le , Wu Tao , Ji Lele , Cui Yining
Published: November 2022

For a long time, there are many problems in accounting information disclosure of listed companies in China, which are closely related to the irrational corporate governance structure in China. In these aspects, China's accounting information disclosure has three major problems: untrue, inadequate and untimely. The research direction of this paper is how to optimize the corporate governance mechanism, so that companies that lose competitiveness due to improper disclosure of accounting information or other reasons can further develop or change.
Research on Image Recognition Technology Based on Machine Learning
Authors: Ni Xiang
Published: November 2022

With the rapid development of artificial intelligence technology, the network image recognition technology of machine learning is intelligent and production and life in computer vision system technology in China have gradually achieved significant success. On this basis, the computer network image recognition system is constructed by machine learning with image features such as cross-verification, fitting, accuracy, feature selection, and dimensionality reduction, and the results show that the machine learning algorithm improves the stability and multi-domain application of computer image recognition through cross-verification and deviation of decision tree units. Recognition technologies such as feature vector extraction, edge information, and texture features of machine learning algorithms improve the accuracy of image recognition.
Research on Management Mode Optimization Strategy of Private Enterprises Based on Big Data Analysis
Authors: Ji Yueqing
Published: November 2022

In today's information age, the management of enterprises has also ushered in changes and innovations, the most important of which is the wide application of BD(big data) technology. The management mode system of private enterprises is a whole concept, and its research is not limited to the internal management environment, but also takes into account the related humanistic environment, administrative system, market environment and other multiple factors. In order to enable enterprises to quickly obtain effective information in the complex data and assist enterprises to strengthen internal management, it is necessary for enterprises to optimize their management mode by using BD technology. The arrival of BD era brings both opportunities and challenges to enterprise management. This paper mainly discusses how to innovate the management mode of enterprises under the background of BD era.
Application of Distributed wMPS System in AGV Automatic Navigation
Authors: Zheng Yingya
Published: November 2022

AGV vehicles play an important role in industrial automation production, and automatic navigation is the basis for automatic operation of AGV vehicles. In order to improve the navigation accuracy of AGV vehicles, based on the workspace measuring and positioning system (wMPS), this paper proposes to use upright and top mounted transmitter stations to build precision coordinate measuring fields, and analyzes the construction process and layout optimization principle of precision measuring fields in detail, Finally, the measurement accuracy of the coordinate field is illustrated through experiments. The experimental results show that the comparison error between the precision coordinate measurement field constructed by the method proposed in this paper and the measurement results of the tracker is controlled below 0.2 mm, which can effectively ensure the measurement accuracy and realize the automatic precision navigation of AGV vehicles.
A Survey of Knowledge Tracking Based on Deep Learning
Authors: Dao Juwei
Published: November 2022

In order to fully understand the research status in the field of knowledge tracking based on deep learning in China, this paper uses CiteSpace visualization analysis software to conduct visualization analysis and text analysis on 118 literatures with the theme of "knowledge tracking based on deep learning" included in CNKI from 2012 to 2022. The results show that "artificial intelligence", "intelligent education", "deep learning" and "big data" are the research hotspots of knowledge tracking based on deep learning in China. The correlation between its frontier research and the development of the times rose rapidly from 2017 to 2021. In the future research, researchers should focus on the optimization of the model, the application of basic research and the practical application of the research results.
Demonstration of Neutral Grounding Mode of New 10kV Distribution System in Nuclear Power Station
Authors: Guo Yixuan
Published: November 2022

Different grounding methods are used at the neutral point of distribution system, which have a direct impact on the reliability, continuity, insulation level of equipment, relay protection and action characteristics of automatic devices. It is a comprehensive technical and economic problem to choose the appropriate neutral grounding mode of distribution system. Taking the newly added 10kV power distribution system of a nuclear power plant as an example, this paper briefly analyzes the methods and principles of neutral grounding demonstration of distribution network, and provides a referential solution for subsequent similar projects.
Computational fluid dynamics grid technology development
Authors: Gou Mengjiao , Liu Bohua , Sun Xiaomao , Ma Yuli
Published: November 2022

This paper reviews the development of computational fluid dynamics, especially computational aerodynamics. This paper summarizes the achievements of CFD in grid technology, analyzes the existing problems and perplexities, and prospects its development trend. The CFD grid technology includes structured grid, unstructured grid, hybrid grid and overlapping grid.
Multi-strategy vertical parking path planning considering the influence of obstacles
Authors: Zhang Tongqing , Zhang Shuai , Ma Pengcheng , Liu Ruiyuan , Li Jiaojiao
Published: November 2022

For the vertical parking scene with narrow parking spaces, this paper proposes three kinds of path planning strategies to guide the vehicle to park safely and successfully in the parking spaces by using the path planning method of arc-line-mitigation curve and considering the initial posture and position relationship of different vehicles. Then, considering the complexity of the actual parking environment, obstacle analysis and future trajectory prediction of dynamic obstacles are added, and the impact of different obstacles on the parking path is analyzed. Three obstacle avoidance methods are proposed, and three planning strategies are combined to achieve safe and efficient vertical parking. Finally, the path planning method is simulated and verified in QT environment. The results show that the vertical parking path planning method proposed in this paper meets the parking needs of narrow vertical parking spaces and achieves safe and efficient parking with predictability.
Deep Learning Techniques for Sentiment Analysis
Authors: Fu Erjia , Xiang Junyuan , Xiong Chuanhao
Published: November 2022

Sentiment analysis covers a wide range of computational research, including research on the opinions, feelings, emotions, evaluations of people, and attitudes toward products, services, organizations, individuals, issues, events, topics, and their attributes. It plays an increasingly important role in the era of big data. In fact, it has spread from computer science to management and social sciences such as marketing, finance, political science, communications, medical science and even history, generating common interest throughout society due to its commercial importance. TEA is a basic task with the typical used of NLP methods which is full of interest, particularly for fine-grained classification of textual emotional content. It is the process of mastering, inductive analysis and reasoning about emotional content. Simply put, it is the process of analysing, processing, summarising and reasoning about emotive and subjective texts. The Internet generates a large numberof user reviews to gain valuable information about people, events and products. These reviews express a wide range of emotions and emotional tendencies, including joy, anger, sadness, delight, criticism and praise. Potential users can therefore view these subjective reviews to understand how public opinion views an event or product.
Model Comparison in Sentiment Analysis: A Case Study of Amazon Product Reviews
Authors: Zhang Honglie
Published: November 2022

Sentiment analysis is essential in NLP, especially in businesses because it can improve customer services. This paper focuses on a particular case of sentiment analysis, a case study of Amazon reviews of books on kindle. Firstly, this paper applies several non-deep-learning algorithms including Logistic Regression, Naïve Bayes, Support Vector Machine, Convolutional Neural Network, and Recurrent Neural Network, and compares their accuracies. Especially, for deep learning methods, this paper studies the slope of accuracies concerning the number of hidden layers. Secondly, as a multi-class text classification problem, the product review data set has five labels ranging from one star to five stars, a new method called Hybrid Sequential Binary Classification (HSBC) is introduced in this paper, which improves the behavior of classical binary classifiers on a multi-class text classification problem. Moreover, a comparison of HSBC and multi-class classification models is presented.
Water Potability Analysis and Prediction
Authors: Gao Heming , Li Yuru , Lu Handong , Zhu Shuqi
Published: November 2022

Water is one of the largest resources on earth. People need water to sustain life, including drinking water. It is important to know whether drinking water - human life resource - is enough for everyone now and in the future. However, water resources are not evenly distributed everywhere on the planet. While the water resource is rich in some countries and regions, it is not enough for some other regions. The analysis of different region’s water resources should be done individually. In this paper, the authors analyze the potability of water by using an Indian water potability dataset from Kaggle. More specifically, this paper talks about each factor of water that influences water potability through statistical methods - binomial distribution and the k-nearest neighbor algorithm. Also, the authors build a model that allows people to predict the potability of a water resource by the data of each factor of that resource. According to the research, the features of water are not related to each other. All the features should meet a specific standard in order to get potable water.
Research on the precise recommendation service system of digital library
Authors: Fu Aihua , Wu Juncai
Published: November 2022

With the continuous development of big data technology, the service mode of library has changed greatly. This paper proposes a method for building a digital library precise recommendation service system based on user portraits, which improves the recommendation accuracy and efficiency of the digital library. Firstly, systematically sort out the research status of the application of user portrait technology in the field of library and information. Then, the needs of precise recommendation of the digital library under the user portrait technology in terms of recommended content, service positioning, user functions were analyzed. Finally, introduce the construction method of the recommendation service system of the digital library from the three aspects of data module, recommendation module and user module. This research aims to explore an effective transformation and development path for the precise recommendation of digital library.
Analysis and Prediction of Telecom Customer Churn based on Machine Learning
Authors: Xia Ye , Cui Bohan , Duan Yunhuai
Published: November 2022

As the telecommunications market becomes increasingly saturated, major operators are facing an increasingly severe problem of soaring customer churn rates. How to identify high-risk churn customers is the most concerned issue for operators. Thanks to the rapid development of pattern recognition technology, existing machine learning algorithms provide key technical support for telecom customer churn prediction. However, how to choose an appropriate forecasting method combined with the characteristics of the application data is still an open question. To this end, based on the analysis and comparison of the feature correlation between telecom customer data and churn, this paper compares the differences in the prediction results of different machine algorithms, so as to choose the method that best fits the characteristics of the application data to build the final customer churn prediction model. Specifically, the Spearman correlation coefficient is used to calculate the correlation between variables in the dataset, the random forest algorithm is used to score the importance of all variables, and the prediction generated by the gradient boosting tree algorithm is introduced. Finally, the gradient boosting tree algorithm is evaluated by five performance indicators: precision rate, recall rate, precision rate, F1 score and AUC (Area under the ROC curve).
Researches Advanced in Deep Learning based Image Classification
Authors: LI Siying
Published: November 2022

Image recognition has always been a popular research topic in computer vision, whose basic task is to learn a model to predict the category of a given image. Early image classification algorithms mainly relied on handcrafted features, while their classification results often failed to meet practical application requirements due to the limitation of handcrafted features expressiveness ability. Thanks to the rapid development of deep learning, image recognition algorithms based on convolutional neural networks have achieved great success. Generally, stacking network layers can improve the prediction accuracy, while increasing the network depth can also lead to problems such as gradient disappearance, gradient explosion, and degradation. In recent years, due to its powerful representation ability, Transformer-based image classification algorithms have achieved new breakthroughs in recognition accuracy. This paper first introduces the classic deep learning algorithms in the field of image classification, including networks such as AlexNet, GoogLeNet, VGG, and ResNet. Meanwhile, the visual transformer (ViT) and the data-efficient image transformer are further introduced to handle image classification tasks. In addition, this paper analyzes the application and development of these two models in image classification, classifies the different models, and analyzes their advantages and disadvantages.
Research on moderated mathematical model of repurchase intention on a knowledge internet platform: The mediation mechanism and boundary conditions
Authors: Li Xinxin , Zhang Guiyang
Published: November 2022

Initial purchase expectation disconfirmation does not necessarily reduce consumer repurchase intention on a knowledge payment platform. This paper constructs a moderated mediation model to explore the positive impact mechanism and boundary conditions of initial purchase expectation disconfirmation on repurchase intention. With 524 questionnaire surveys, this paper conducts empirical analysis. The main findings are as follows: First, initial purchase expectation disconfirmation positively affects consumer repurchase intention by stimulating the platform search effort. Second, three boundary conditions affect such a mediation mechanism: subjective norms, anticipated regret, and alternative attractiveness. Specifically, the higher the subjective norms and anticipated regret the consumer has, the stronger the stimulating effect of initial purchase expectation disconfirmation on platform search efforts. The higher the platform alternative attractiveness, the stronger the optimistic prediction of platform search efforts on the platform repurchase intention. The conclusion deepens the theoretical mechanism of how initial purchase expectation disconfirmation affects platform repurchase intention.
Forest management schemes based on carbon sequestration models
Authors: Liu Runhao , Ma Shuo , Ma Hengwei , Chen Ziming , Cui Qi
Published: November 2022

This research requires the carbon sequestration model to determine the capacity of the forest and its products to sequester carbon and then to choose the most effective forest management plan in terms of sequestering CO2.we need to create a carbon sequestration model to assess how much trees and their products can absorb carbon dioxide. We compared how effective each forest management plan is at sequestering CO2 after developing a dynamic model for accounting for physical quantities of carbon sequestered and oxygen released by forests, analyzing forest resource flows and stocks and determining the willingness to pay for carbon sequestration and oxygen release by forests using a benefit transfer approach.we selected Chinese forestry as a representative to give the results of a study on selective logging to promote carbon sequestration in temperate coniferous and mixed broadleaf forests in China at reasonable time intervals.
Outlook of magnesium alloy for rhinoplasty material
Authors: Li Jingming
Published: November 2022

Rhinoplasty is one of the famous cosmetic surgeries all over the world, as it not only benefits congenital nasal bone dysplasia patients, but also satisfy a part of people who want to look more beautiful and perfect. The materials commonly used in current rhinoplasty are prone to failure of rhinoplasty because of autologous absorption, loosening and slipping of nasal scaffold due to poor tissue compatibility, and difficulties in secondary repair[1-2]. Biodegradable magnesium alloy material is one of the most ideal biomedical materials with great application value. Mechanically, the biodegradable magnesium alloy material has good mechanical properties, similar to the mechanical properties of human bone; the density is similar to that of human bone. Biologically, degradable magnesium alloy material has the characteristics of excellent biocompatibility, biological activity, degradation products can be easily absorbed or excreted by human tissues; degradable magnesium alloy can induce cell differentiation growth and blood vessel growth[3]. This article analyzes the possibility of using degradable magnesium alloy material as a scaffold material for rhinoplasty and suggests that this porous nasal scaffold can be prepared by 3D printing method. By using this method, a restorative nasal plastic effect can be obtained by guiding the regrowth of autologous nasal bone tissue. From a long-term perspective, the surgical results achieved by using magnesium alloy as a scaffold material for rhinoplasty are what the medical aesthetic community has been seeking. The use of biodegradable magnesium alloy as a rhinoplasty material is a new approach that is feasible and has potential for future economic and social benefits, but this approach needs further research and experiments to be validated in the future.
Nanoparticle Additives for Improving Lubricant Performance
Authors: Ye Xinghe
Published: November 2022

The lubricant is an important industrial product widely used in vehicles and other machines. The main purpose of a lubricant is to reduce friction loss and save energy. However, with the development of the vehicle, the appearance of electrical vehicles, for example, and machines, lubricants need to satisfy more demands. Normally, this was fixed by adding additives. Nanoparticles are one of the best additives because they can efficiently reduce friction loss and provide a more useful function. But nanoparticles may form sedimentation in lubrication, which will increase friction loss and cause damage. Common methods like stirring, ball milling, and chemical methods are used in lab production to keep particles stable in lubricant. All those methods can form relatively stable samples of nano lubricants, but it is still hard for industrial manufacturers because of the technology blank and high cost. Nano lubricant is a potential market and can save more energy in the future.
Research progress in intensified bioleaching of chalcopyrite: A review
Authors: Zou Xuemin , Zhang Yisheng , Zhou Shuang , Wang Zimeng , Wei Bibi , Zhu Lemei
Published: November 2022

Chalcopyrite (CuFeS2) as one of the most abundant copper sulfide minerals, is refractory to conventional hydrometallurgical and pyrometallurgical processes. Bioleaching is a practice of extracting valuable metals by using acidophilic bacteria to catalyse the dissolution of sulfide/iron-containing ores. It has been widely adopted in copper ores processing due to environmental and economic performance over the conventional methods, especially its use in low-grade sulfide minerals. To date, low copper extraction is a common problem during chalcopyrite bioleaching, which limits its industrial application. Hence, it is of particular importance to find methods to enhance the leaching rate. Chalcopyrite dissolution is a complex process with the participation of microorganisms, minerals and gas and liquid phases. All these physicochemical, microbiological, mineralogical and processing parameters have influences on the rate and efficiency at which bioleaching proceeds. High copper yield can be achieved by optimizing leaching conditions in an optimum range. A number of researches has been conducted to explore the influence of leaching parameters on bioleaching rate. This review intends to briefly describe the effect of some parameters on the bioleaching of chalcopyrite. And it lays the emphasis on the presentation of methods to promote the efficiency of bioleaching and the strengthening mechanisms.
Study of fluid system for pressure reduction and injection of long-term injection wells in sensitive reservoirs
Authors: Li Renze , Chang Dawei , Sun Jianhua , Guo Hao , Zhang Wenpeng , Chen Zhaohui , Tang Dongchuan
Published: November 2022

Due to the sensitivity of the reservoir itself and the aggravation of reservoir damage caused by long-term water injection in a sensitive reservoir of a block in northwest China, the phenomenon of high wellhead pressure and water injection difficulty of new injection Wells is presented in different degrees. Based on the analysis of the effect of increasing injection measures in each stage, combined with the analysis of the cause of reservoir scaling and the sensitivity of long-term water injection volume flow, a new composite treatment liquid system was developed. The system integrates the secondary precipitation inhibition technology, anti-expansion and shrinkage composite technology, deep acidification technology and foam composite acidification technology, and achieves the dissolution rate of the main treatment solution of 22.5%, can maintain a low pH for a long time, and meet the long-term scale inhibition rate of 84.89%. In the evaluation of the core flow experiment, the core permeability recovered and increased after the treatment of the working fluid system, and achieved a good effect of plugging removal and injection increase in the field practical application.
Review of the relationship between the number of benzene rings within fluorescent dyes and its excitation wavelength
Authors: Wen Daokang
Published: November 2022

Fluorescence is part of the new biochemical technologies invented in the century. Its practical applications including fluorescence microscopy and third generation DNA sequencing technology cannot be over- looked. This review will be looking at the effects of a molecules structure on its fluorescence capabilities. More specifically, the relationship between a fluorophore’s absorbance wavelength and the number of benzene rings it contains. This review has successfully used both experimental results and theoretical calculations and found a positive linear relationship between the two. This could impact chemical engineering and specifically engineer fluorophores for different situations.
IoT-based air pollution monitoring system
Authors: Yang Yuxuan
Published: November 2022

Air pollution seriously damages the ecological environment and affects the health of humans, animals and plants. In order to prevent and control air pollution, air quality monitoring has been proposed to accurately monitor the concentration of pollutants and abnormal conditions in a region, which can purify the air. However, conventional fixed monitoring stations are complex, expensive and power hungry, these characteristics lead to monitoring stations being unsuitable for most areas. Here an internet of things (IoT)-based air pollution monitoring system is reported including architecture, principles and monitoring objects, providing detailed information for effective environmental management. It manages the current status and trends of regional air pollution in a simple, portable and cost-effective way. The technologies and applications involved in IoT-based air pollution monitoring systems are also presented, contributing to the development of IoT technologies, cloud computing technologies and smart city. The rapid spread of such monitoring systems would add greenhouse gases, photochemical smog and light detection and ranging (LIDAR) gases to the group of objects to be monitored in the future.
Some Basic Properties of Higgs Bosons
Authors: Yong Taiyi
Published: November 2022

Known as one of the most hopeful fields to find the new particle—Higgs bosons and become even more important after it is proved by Higgs. Higgs and his colleagues further improve their observation of the Higgs Bosons through the Higgs mechanism. This paper will show the basic properties of the Higgs bosons, and some machines of the Higgs bosons. The spontaneous symmetry breaking, and the Higgs mechanism have also been introduced due to their necessity for the Higgs boson. This paper will be an introduction for anyone who is interested in this field.
On the application of projection threading method in the teaching of probability theory
Authors: Zhang Kongsheng
Published: November 2022

The probability density function of the sum of random variables and marginal density function are important and difficult concepts in the course of probability theory. The key to calculate them is to determine the range of interested variables and integral variables. Combined with graphics, the range of those variables can be determined quickly by using projection threading method. The proposed method is intuitive and easy to master.
The Construction of the Teaching Staff of Innovation and Entrepreneurship Education in Finance and Economics under the "New Economic Management" Strategy
Authors: Zhou Zejiong , Chen Hongmei
Published: November 2022

Innovation and entrepreneurship education is an important measure for the country to implement the innovation driven development strategy and promote education reform, and the key to innovation and entrepreneurship education is the teaching staff. The strategy of "new economy and management" puts forward higher requirements for the training of financial professionals, as well as the training of compound talents to adapt to the development of the new era. In the face of the outdated concept of innovation and entrepreneurship education teachers, the scarcity of professional teachers, the single structure, the imperfect management system, and the unreasonable assessment mechanism, this paper, according to the requirements of the "new economic management" strategy for talent training, explores the path of the construction of innovation and entrepreneurship education teachers in finance and economics from many aspects, such as establishing the correct education concept of teachers, expanding the teaching staff, establishing special management institutions, and improving the assessment mechanism, With a view to promoting the development of innovation and entrepreneurship education in colleges and universities.
Research and Application of Decision Tree Algorithm and B+Tree Structure on University Smart Employment Platform
Authors: Wang Wen , Yang Zhiyu
Published: November 2022

With the increasing number of graduates and the increasing requirements for employment quality, the traditional information system technology has been difficult to promote the employment of graduates, and its role is mostly limited to the management of graduate information. In view of this situation, this paper will focus on the topic of building a new smart employment system to help college students better obtain employment, analyze the necessity of building a college smart employment platform and the application of decision tree algorithm and B+tree structure in building a college smart employment platform.
Study of UWB Precise Positioning Problem under Signal Interference Conditions Based on Nonlinear Optimization Model
Authors: Li Yaqi , Zhu Pengfei , Xie Luwei , Yang Tingwang
Published: November 2022

Taking the 2021 Huawei Cup E question as an example, for the analysis of the data collected in the experimental scenario 1 with or without signal interference, firstly, the corresponding values of each data file were captured using python tools and transformed into Excel data format, followed by data pre-processing according to different time stamps, inconsistent range values and calibration values, and repeated screening conditions for sequence numbers and numbers, and then using the Then the normal distribution 3σ principle was used to screen out the samples with abnormal range from the target point to the anchor point, and it was found that the range value given in the title deviated greatly from the actual point's range value in the process. Then, using the processed data, when the real coordinates of the target point are known, the particle swarm algorithm is used to solve the search for the global optimal distance from the target point to the four anchor points, and then the optimal distance is used to establish a nonlinear optimization model for four-point positioning in three-dimensional space, and the particle swarm algorithm is continued to be used to solve for the exact coordinates and error value range of the 324 Tag under no interference and with interference, and the error range can be used to predict The exact position of the control target point. Finally, the algorithm model is applied to calculate the coordinates of 10 sets of data, and then the two error values are corrected to get 10 sets of accurate values.
The Chinese and American elements of the Disney movie Mulan from the Cross-cultural Perspective
Authors: Liu Chuang
Published: November 2022

On the basis of drawing materials from Chinese historical stories and retaining traditional Chinese ideas and images, the Disney movie Mulan adopts a series of Hollywood story blending methods to make American-style transformation of characters and values, according to the sight of Americans the standard of Chinese beauty image is re-created for Mulan, and the ideas of feminism, individual heroism, and equality between men and women are vividly displayed in Mulan. At the same time, the characters and plots of the story have also been transformed in American style: several key characters and animals have been added throughout; on the basis of respecting the basic plot of the original story of Mulan, the feudal loyalty and filial piety story has been turned into a story of women's self-realization. The film enlightens us that only by fully understanding the cultures of the two countries can we better promote the cross-cultural communication and exchanges between China and the United States and even between China and the West.
GENOMIC ASSISTED CROP BREEDING APPROACHES FOR DESIGNING FUTURE CROPS TO COMBAT FOOD PRODUCTION CHALLENGES
Authors: BABAR M , NAWAZ MS , SHAHANI AAA , KHALID MN , LATIF A , KANWAL K , IJAZ M , MAQSOOD Z , AMJAD I , KHAN A , KHAN NH , SHAUKAT S
Published: November 2022

Improvement of crop species has been a fundamental goal of mankind since the dawn of agriculture. The key to increasing agricultural productivity and improving other attributes has been plant breeding. The foundations of conventional breeding are the utilization of diversity, which occurs naturally in the form of land races and wild relatives, and the development of diverse selection and breeding techniques. Selection, which was the first strategy identified and is currently utilized by the majority of breeding programs, is the most fundamental aspect of plant breeding. There is a need to boost global food production in order to meet the rising demand of a growing population as a result of a growing human population and a changing environment, which have both heightened concerns about global food security. Conventional breeding methods are inadequate to supply this rising need. In the past few decades, numerous advancements in genetic engineering and molecular biology have led to the emergence of novel approaches that rely on phenotypic characterization. Now, the wide availability of molecular markers has facilitated the identification of variation sources and selection. Specifically, genomics played a crucial part in the revolution of plant breeding. Because genomics enabled the extended study of genotype and its relationship to phenotype for multigenic characteristics, allowing for a greater understanding of genotype and phenotype. In this overview, we will address conventional breeding methods and contemporary genomics techniques, and their function in crop improvement.
De perspectiefgerichte benadering
Authors: Davidsen Markus Altena
Published: November 2022

In late 2019, the Dutch Expert Centre Worldview and Religion in Secondary Education (Expertisecentrum Levensbeschouwing en Religie in het Voortgezet Onderwijs; LERVO) tasked a group of teachers and teacher trainers to work out a national curriculum for the subject area ‘worldview and religion’ (levensbeschouwing en religie). In this article, I outline the progress made so far. In the first section of the article, I discuss the general educational vision of LERVO that we have developed in dialogue with Gert Biesta’s theoretical pedagogy, Wolfgang Klafki’s theory of Bildung, and Fred Janssen’s ‘perspectives approach’ (perspectiefgerichte benadering). The second part of the article presents a new framework for the national curriculum, consisting of nine perspectives on worldview and religion (e.g., the meaning-making and phenomenological perspectives), and three additional learning lines focused, respectively, on dimensions of worldviews and religions, important traditions, and societal challenges.
“Wilt u alstublieft mijn gasten zijn?” (Gn 18,3)
Authors: Hendrickx Jeroen
Published: November 2022

Over the past decades, Flemish society has evolved from a homogeneous Christian to a post-secular and post-Christian society, characterised by (non-)religious diversity. The growing presence of Islam is probably the most visible example of this evolution. Because the number of Muslim students in Catholic schools, as in state schools, has increased over the past decades, important (pedagogical) questions come to the fore. How can Catholic schools deal with increasing diversity in society, and with the presence of Islam in particular? How can Catholic schools as well as the school subject of Catholic religious education, without giving up their Catholic identity, be hospitable places for staff and pupils from other (non-)religious backgrounds, such as Muslims? The Catholic Dialogue School project and the updated curriculum of Catholic religious education try to formulate an answer to these questions by entering into dialogue with others from the perspective of their Catholic commitment. Respect for identity, the courage to accept and to respect differences, and adopting a hospitable attitude are key words in this endeavour. Both projects, however, are not self-evident, but require a large dose of vigour and creativity, to which everyone can contribute from one’s own (non-)religious commitment. In times of growing polarisation, tension and conflict, the willingness of all involved – Christians, Muslims, atheists... – to open up to a diversity of worldviews and show the will to enter into dialogue with the other in a hospitable manner, is the only way towards a peaceful and tolerant society.
Als je moslim bent op een christelijke school...
Authors: Elsenaar Marcel
Published: November 2022

In this contribution, the author contemplates his own experiences with ‘teaching about Islam in the classroom’, both as a religious education teacher in protestant-Christian secondary schools and as a consultant of this kind of secondary schools. His experiences lead to insights into the questions rising when more and more students appear to be religious. Does he know enough about Islam? Is he aware of the way knowledge of Islam is presented? What is the purpose of protestant-Christian religious education (RE) in a superdiverse society, and how do the religious background of the school and of the teacher influence this? What knowledge and wisdom can help Muslim students to develop their personal identity and to find their own way in society? From the practical point of view, the curriculum for protestant-Christian RE is developed and adapted to changing circumstances by teachers on a step by step way in schools. However, some more fundamental questions also ask for a new approach of teaching about Islam specifically, and for teaching RE and worldview in general. Three topics are central in the author’s view: (1) the way knowledge is positioned in the curriculum, (2) the idea that students should be seen as subject of learning activities, and (3) the creation of space and safety for a peaceful dialogue about existential questions in a polarised world. In order to further develop a national curriculum in which this kind of topics will be addressed, the cooperation of researchers, teacher-trainers and teachers is required.
A CONSTRUÇÃO DE CONSENSOS NO FÓRUM DE COMUNIDADES DE POLÍTICA PÚBLICA DO TERRITÓRIO RURAL VALE DO RIO PARDO – RS
Authors: Silva Taciane Lais da , Piccin Marcos Botton
Published: November 2022

O objetivo principal deste artigo é analisar quais são as relações políticas e sociais que se constroem entre os agentes que compõem o Território Rural Vale do Rio Pardo (TRVRP) e que definem uma determinada conformação e gestão do fórum de comunidade e política pública do Programa Nacional de Desenvolvimento Sustentável dos Territórios Rurais (PRONAT). Para a realização desta pesquisa utilizou-se da metodologia qualitativa, baseada em anotações diárias no caderno de campo e análise documental. A análise foi realizada tendo por base a abordagem cognitiva, a qual baseia-se na forma como são pautadas as disputas e negociações relacionadas à produção de referências de políticas públicas, dando o destaque para o local em que elas ocorrem, nos fóruns/arenas. A pesquisa apontou que cada ator social que compõem as instituições possuem trajetórias e valores pessoais que consequentemente orientam suas decisões nos fóruns. Existem nesses espaços relações de poder que são carregadas de significados e valores considerados positivos e negativos, os quais implicam nas tomadas de decisões nos processos de gestão social. A arena estudada ajuda a demarcar o limiar dos acordos firmados, fortalecendo o espaço do fórum de política pública a partir da expansão das capacidades de forças sociais de articular, se organizar, colocar em confronto e estabelecer consensos em propostas para problemas históricos. No nosso entendimento, aí está a chave de potencialidade de transformações que esses espaços oferecem.
Bio-CNPR: Formulado de Control biológico para el cultivo de caña de azúcar (Saccharum spp.)
Authors: Hernández-Rosas Francisco
Published: November 2022

El cultivo de la caña de azúcar (Saccharum spp.) es afectada por diversos factores sanitarios representando una limitante principal que genera pérdidas superiores a 30% de la producción (Osmany et al., 2014).
Nuevas variedades de caña de azúcar (Saccharum spp.) generadas por el Colegio de Postgraduados para el trópico húmedo mexicano
Authors: Sentíes-Herrera Héctor Emmanuel , Valdez-Balero Apolonio , Loyo-Joachin Roberto , Flores-Revilla Carlos , Trejo-Téllez Libia Iris , Gómez-Merino Fernando Carlos
Published: November 2022

La caña de azúcar (Saccharum spp.) es el cultivo de mayor productividad a nivel mundial, y México se ubica como el sexto productor de azúcar y de caña de azúcar en el mundo.
Producción de durazno (Prunus persica L.) en Puebla, México
Authors: Mendoza-Robles Ricardo , Hernández-Romero Ernesto
Published: November 2022

A raíz de la introducción de variedades mejoradas de durazno (Prunus pérsica L.) en Puebla, México en la década de los años ochenta, se inició un proceso de escalamiento técnico y productivo, estableciéndose nuevas plantaciones y realizando investigación tecnológica sobre prácticas de producción.
Expansión del cultivo de durazno (Prunus persica L.) en Puebla, México
Authors: Mendoza-Robles Ricardo , Corona-Ávila Pedro, G.
Published: November 2022

La introducción de variedades mejoradas de durazno por el Colegio de Postgraduados al estado de Puebla, México, desde mediados de la década de 1980, desencadenó un proceso de escalamiento productivo del cultivo, tanto en superficie plantada, como en producción, lo cual requirió de acciones de acompañamiento técnico (asesoría y asistencia  técnica).
Equipo mecánico para la cosecha de tunas
Authors: Ortiz-Laurel Hipólito , Rössel-Kipping E. Dietmar
Published: November 2022

México es el mayor productor y consumidor de tunas (Opuntia ficus indica (L.) Mill) en el mundo, donde alrededor 20,000 pequeños productores cultivan nopal tunero en una extensión de aproximadamente 74,500 ha
Sistemas de captación del agua de lluvia (SCALL) para diversos usos
Authors: Anaya-Garduño Manuel , Pérez-Hernández Aurora , Luque-Delgadillo Ariana
Published: November 2022

En México existen 3.8 millones de viviendas sin acceso al agua entubada, habitadas por cerca de 15 millones de personas, situación que genera desabasto, además de algunas enfermedades gastrointestinales.
Captación de agua de lluvia en la Mixteca Poblana de México
Authors: Parra-Inzunza Filemón , Ocampo-Fletes Ignacio , Hernández-Salgado José Hilario
Published: November 2022

En la región Mixteca Poblana de México, se ubica una de las Microrregiones de Atención Prioritaria (MAP), del Colegio de Postgraduados en Ciencias Agrícolas (Colpos-México) Campus Puebla, y presenta serias restricciones para la producción agrícola y pecuaria, debido a la falta de agua.