bluuebunny/crossref_metadata_2025 huggingface dataset:
The Macroeconomic Impact of Infrastructure Investment – or lack thereof - in the US
Authors: Duan Chengxu
Published: August 2022

Federal and state investment on infrastructure, including new roads, sanitation, and power plants, is key to economic growth and recovery. I concluded, through a review of prior publications and empirical studies, that infrastructure investment can stimulate both economic output growth and employment. Timing of the investment and the government's chosen method of funding are two significant factors that influence the impact of infrastructure investment. Infrastructure spending shows greater influence during economic recessions for both economic output and unemployment as more labor force and resources are available. Both deficit-financed and deficit-neutral methods have short- and long-term benefits on output and employment growth, but to varied degrees. In the short run, the two strategies have little to no impact on output and employment since several conflicting force would mitigate each other. In the long term, however, deficit-neutral method tends to have greater impact on output and employment since there will be no “crowding out” of private investment.
The Impact of Brexit on UK Economic Development in Trade and Foreign Direct Investment
Authors: Deng Boqian
Published: August 2022

Changes in the UK economy have a significant impact on global economic developments. Accurate analysis and forecast of the impact of the recent Brexit are important for predicting the future development of the global economy. In this paper, two perspectives, trade and FDI, are selected to make a review of the forecast of economic development in the UK.
Analysis of influencing factors of regional import and export trade based on an artificial neural network
Authors: Chen Huibin , Ding Ning , Guo Renjing
Published: August 2022

In the post-epidemic era, the global political and economic pattern has accelerated the evolution, and regional imports and export tr[ade has become an important way of political and economic communication between countries. As the research area, this paper selects Shanghai, China, establishes a comprehensive evaluation index system of influencing factors of regional import and export trade, and constructs a high-precision artificial neural network (ANN) model to quantitatively evaluate import factors and export trade in Shanghai, China. The results show that freight capacity, science, technology level, and exchange rate change have a greater impact on the import and export trade in the region. Improving the level of transportation, science, and technology in Shanghai is significant to the sustainable development of Shanghai's foreign trade. The Chinese government can appropriately expand the geographical distribution of import and export business, establish a particular currency portfolio, and disperse foreign exchange risks in international trade and investment, and financing. The Chinese government can consider providing cash flow support for enterprises, which promotes consumption investment and vigorously improves the VAT retention and rebate system. It can focus on solving the problem of tax retention and rebate in scientific research, technical services, and transportation industries to improve market confidence and promote the development of China's import and export trade.
Analysis on Transformation Path of Entity Retail Enterprises Under New Retail Background
Authors: Ying Zou
Published: August 2022

With the development of the times, retail entity has been seriously impacted by new retail, high operating cost sand fierce competition, which prompted many retail enterprises intuitively to seek a change. Through the analysis of entity retail, entity retail enterprises mainly face with three challenges: the impact of the development of online retail and new retail, the change of consumers' needs and preferences and fierce competition in the industry. Physical retail enterprises can promote the integration of online and offline development, innovate the products and services of physical retail enterprises, and build online and offline shared data system to transform and develop.
Analyses of Shanghai Disneyland IP localization Strategy And Its Risks from the Perspective of Lina Bell- Based on SWOT Analysis Method
Authors: Pan Shuwen
Published: August 2022

‘Lina Bell’ is a new IP image that was exposed by Shanghai Disney in September 2021. From ‘new role’ to ‘online celebrity with a huge fan base’ in just one month, its popularity overwhelmed other famous Disney IPs, and the price of its doll has skyrocketed. However, in early December 2021, ‘Lina Bell’ was stuck in a ‘image crisis’, and there are still risks behind Disney's IP operation. This paper analyses Disney's IP localization strategy through a SWOT method and proposes possible countermeasures to address the potential risks. The study finds that the history of Disney's Duffy family is the epitome of Disney's IP localization strategy, and that Lina Bell is the best product of the IP localization strategy; Disney's strengths are its rich experience in IP operation and complete industry chain, while its weaknesses are mainly the lack of a true understanding of the target market’s culture; the external opportunities for Disney are the huge potential of the target market and the fact that Disney IP is in line with the pop culture trends of the target market, while the external threats are mainly public opinion and competition from similar products. This paper suggests that Disney should strengthen its research into the culture of its target markets and truly understand the local cultural habits; strengthen the training of its staff; standardize the behaviour of each staff member in line with the brand's mission and increase the local core competencies of the Disney IP.
Big Data Analysis for Contemporary Consumer Behavior
Authors: Zhong Zirui
Published: August 2022

With the popularization and application of the Internet, human beings start shopping on the Internet. Compared with offline shopping, the Internet will provide more choices and convenience. When more kinds of commodities come into the consumer's field of vision, the process of consumers' selection of commodities will generate a large amount of data. By analyzing the data of consumers' selection of goods, one can obtain the consumption habits of consumers. Massive amounts of data are analyzed, and value is generated. The emergence of new consumption patterns has led to changes in the consumption environment of consumers. This paper summarizes and demonstrates the recent state-of-art reports focusing on consumer behavior based on big data techniques. According to the analysis, big data helps the market to sell faster and easier but leads to consumer privacy concerns. In summary, this paper gives the impact of big data applications on consumer behavior and suggestions. These results shed light on guiding further exploration of consumer behavior investigation.
Impact of Infrastructure Construction, Industrial Structure and Economic Development on Regional Highway Freight Volume
Authors: Yang Shuang , Zhang Yifan , Dai Pengyu
Published: August 2022

As an indispensable part of the urban economy, urban freight transport plays an essential role in promoting the development of the national economy. It is necessary to clarify how a series of socio-economic developments, such as infrastructure development and economic development, affect regional highway freight volumes. Based on the panel data of each city in China from 2005 to 2019, this study selects 14 indicators closely related to urban economy and highway freight volume and empirically analyzes the relationship between these 14 indicators and regional highway freight volume using panel regression and generalized additive model (GAM) regression. The results show that the infrastructure construction with various types of vehicles has a non-linear influence on highway freight volume. The proportion of secondary and tertiary industries shows that P values are all zero in the corresponding cointegration test and causality test, indicating that there is a cointegration relationship between them and highway freight volume. Both are one-way Granger reasons for urban freight volume.
Assessment and Trend Analysis of Ecological Environment Condition in Beijing during the 13th Five-Year Plan
Authors: Zhang Yuzheng
Published: August 2022

On the basis of the technical criterion issued by the Ministry of Ecology and Environment of China in 2015, we analyze the changes in the Biological Richness Index, Vegetation Coverage Index, Water Network Denseness Index, Land Stress Index, Pollution Load Index, and their sub-indexes to evaluate the ecological environment quality in Beijing during the 13th Five-Year Plan period and examine how it changed. We use the data from the official website and the ArcGIS tool to calculate each indicator. The findings suggest that compared with the 12th Five-Year Plan period, the ecological circumstances in Beijing overall improved during the 13th Five-year Plan period, of which treatment of the water and air pollutants substantially improved; biodiversity, plant coverage, and land stress marginally better; and the situation of the waterbody roughly remains constant. The findings of this research can be used as a reference for Beijing's future environmental preservation and substantiable development planning.
Analysis of the Possibility of Slowing Down the Melting of Arctic Glaciers from the Perspective of the Global Energy Economy
Authors: Ling Ruiyu , Xi Yuhao , Zheng Xilin
Published: August 2022

In 2020, Antarctica's surface temperature exceeded 20 degrees Fahrenheit for the first time. This also demonstrates that global warming has become a very significant issue that will cause a number of problems for the planet's species and ecosystem. Many people think that global warming is an old-fashioned problem, but in fact, most people are far from correctly recognizing the terrible consequences caused by global warming. Therefore, this paper studies the problem of glacier melting and analyzes the impact of the development of new energy industry on delaying glacier melting. The results show that the goal of global rise of 1.5   C is difficult to achieve and requires multi-party cooperation. In the future, global temperature rise is inevitable, and more advanced technology can achieve the goal. It should consider that increasing research and development of new energy technologies to essentially replace petrochemical energy. In terms of economic activities, how to change the existing business model, improve efficiency and reduce carbon emissions is a matter of consideration.
Research on Sustainable Profitability of SF Express under Harvard Analytical Framework
Authors: Zhao Diya
Published: August 2022

With the development of network and e-commerce economy, the express industry has been growing rapidly in recent years. How to further improve the sustainable profitability in the extremely competitive express market has also become a hot issue of great concern to enterprises. Based on the Harvard analysis framework, this paper tries to make a comprehensive and objective systematic analysis of SF express company through the analysis of strategy, accounting, finance and prospect. This paper adopts the case analysis method, according to the typical representative of SF express, which is in the leading position in the express industry, and through the specific data support theory, focuses on the reasons why SF express is unique in the express industry market, demonstrates the profitability of SF express enterprises, and puts forward suggestions on the sustainable profitability of enterprises, which can also be used as a reference for other express enterprises to improve their sustainable profitability.
Green Economy Evaluation of Commercial Banks Based on Data Mining and Game Theory Combination of Optimal Weights
Authors: Li Yawen , He Sucen , Dai Mingqi
Published: August 2022

With the introduction of the "double carbon" target, China's economy will be transformed into a low-carbon one. Commercial banks, as the most influential, numerous, and extensive financial institutions in the financial market, play a massive role in realizing this goal through their green financial construction. This paper constructs a green finance evaluation system based on data mining and game theory combination to optimize weights by selecting green economy index data of eight commercial banks between 2016 and 2020. It constructs a weighted standardized decision matrix for green economy evaluation through the TOPSIS evaluation model. It makes an objective, scientific, and fair, comprehensive evaluation score on the construction of green finance for commercial banks. Measuring the current status of green finance development is of great significance.
Research on Fertility Policy Under the Background of Three-Child Policy
Authors: Ma Yingxiang , Zhang Jia
Published: August 2022

Reasonable analysis and formulate relevant policy to control population stable growth is of great significance to social development and economic development in this paper, combining with the relevant data search conducted fertility policy mathematical modeling and analysis, introduces both short-term and long-term memory neural networks with time characteristics (LSTM), considering the population forecast may be is more sensitive to high-dimensional feature, The multi-layer stacked long and short-term memory neural network (DLSTM) was used as the prediction model, and the multi-layer stacked structure significantly improved the robustness and accuracy of prediction.
Research on Current Situations, Problems and Countermeasures of the Rehabilitation Model for Children With Autism Spectrum Disorder (ASD)
Authors: Guo Yiqing
Published: August 2022

Autism is an abnormality in brain development, although autistic people often share the same mental world, similar ways of thinking, and sometimes even better reasoning ability and intelligence than ordinary people. However, they are missing certain basic functions which affect their emotions, which is why they exhibit unusual emotional or physical states and ultimately create misconceptions and prejudices among the public because of these manifestations. Using the literature research methods, survey method, and comparative analysis, this paper discusses the current situations and existing problems for children with Autism Spectrum Disorder (ASD). However, there are still many problems in the education and rehabilitation of autistic children, and autism has evolved from a severe intraindividual disorder to a complex social problem. In this paper, we suggest several ideas for establishing a rehabilitation system for children with autism to change the current situation of rehabilitation for autistic children.
Macroeconomic Effect of The U.S. Tariff on Steel and Aluminum
Authors: Luan Bowen
Published: August 2022

In the context of deglobalization, the United States proposed a trade policy of imposing tariffs on steel and aluminum in March 2018. This paper first discusses the possible motivations behind the tariff levitation by the United States. It also analyzes the impact of US tariffs on its trading partners and itself under the unilateral tariff model and the bilateral tariff model. The conclusion of the analysis is that the impact of this US trade policy on the economy of steel and aluminum importing countries, especially in the long run, is not as pessimistic as imagined. And considering the impact of the tariffs, as well as the EU and China’s trade countermeasures on the U.S. economy, the U.S. should perhaps reassess what this policy has brought to the U.S.
Sales Prediction Based on Machine Learning Scenarios
Authors: Mao Qirui
Published: August 2022

With the development of technology, business analysis plays a crucial role among companies. Companies prefer to manage their operation by using high-tech rather than the traditional method. Sale is one of the important parts of the operation of a company which also determines the company’s profit and management behavior. On this basis, business analytics becomes a new area suitable for promoting the progress of companies. The sale prediction based on machine learning gets popular among them. The article is trying to introduce the mainstream algorithm and models of machine learning that are used for prediction and the process of how to analyze a certain part of a company using the machine learning method. Decision tree and Neural networks are two main algorithms that will be mentioned in the following article, each algorithm will present a basic mathematics approach that is easy to read. In addition, the application of sales prediction of how to apply the machine learning method to real-world examples will be the last part of the article. These results give a brief and plain understanding of sales prediction based on machine learning to the people who first contact this field, which shed light on guiding further exploration of sales prediction.
Machine Learning Approaches for Retail Bank Marketing Practice
Authors: Wu Yusen
Published: August 2022

The retail business is usually one of the most essential bank divisions that directly handles personal customers. As restrictions for COVID-19 are gradually phasing out globally, the market share of retail banking is also rapidly growing, which made improving current bank marketing practices necessary. However, most banks lack an objective and reliable approach to locating target customers. Meanwhile, they also need affordable and efficient ways to process the massive data generated in information systems to predict the purchase intent of their client. This paper introduced two machine learning algorithms to solve the issues mentioned above, which were developed on a dataset derived from the Portuguese bank’s marketing campaign. Firstly, this study trained a Random Forest model to help select features to focus on when predicting client subscription on a term deposit. Secondly, an Artificial Neural Network model was implemented to evaluate the probability for an individual customer to purchase a bank product. The proposed Random Forest model successfully indicates that age and communication with banks are two of the most critical factors that drive customer subscription on term deposits. The proposed Artificial Neural Network also achieves an excellent accuracy of 91.82% in assessing whether a specific client will continue to purchase a specific financing product only at a loss of 18.88%. These results shed light on machine learning’s promising applicability in retail bank marketing, which will vastly improve related costs and efficiency.
Research on Order Allocation Scheme Based on Multi-Objective Planning Model and Comprehensive Evaluation Method
Authors: Shi Tingxuan , Cai Yi , Wang Yating
Published: August 2022

In order to determine whether the production side can meet the demand of the sales side, a multi-objective planning model is developed to compare the usage time of each type of equipment with the production time, and to obtain the production order allocation scheme that meets the minimum overall cost. When the demand exceeds the total capacity, three demand reduction scenarios are developed, and the minimum overall cost is calculated for each scenario. Finally, our recommendations are given for the supply chain company.
Research on Intelligent Parking Operation and Management Planning Based on Revenue Model Function
Authors: Wang Yidi
Published: August 2022

With the development of the world, people's living standard has also improved significantly. At present, self-driving has become one of the popular ways to travel, but this improvement in living standard has also brought some problems such as "difficult parking" and "indiscriminate parking" to the society. In order to solve the problem, our country has launched the decision to develop smart parking. In the case of Shenyang, starting from 2018, due to the substantial growth of civilian car ownership in Shenyang, in order to alleviate the problems of "difficult parking" and "indiscriminate parking", the relevant areas in Shenyang began to develop smart parking. The current smart parking service mainly adopts two billing methods: mobile video collection vehicle billing and manual billing, and this paper analyzes the route planning and possible benefits of the smart parking service by establishing an appropriate mathematical model to obtain the final optimized design scheme.
Digital Platforms in Manufacturing: Past, Present and Future
Authors: Bai Xiaolong
Published: August 2022

In this paper, we conducted a literature review of manufacturing and digital platform, examining 92 articles published between 1997 and 2022. In our study of the literature, we used the software HistCite and VOSviewer to conduct a quantitative analysis of bibliometric analysis. The results of our research show that there are 3 research fields: (i) platform-based new product development (ii) digital platform-based value co-creation (iii) digital platform-based business models. This paper compiled a list of the most prominent aspects in the manufacturing and digital platform literature, including leading countries, institutes, journals, authors, and articles. Finally, based on our analysis of the literature on manufacturing digital platforms, this paper summarized challenges and opportunities in these research fields.
State ownership and corporate credit sales
Authors: Yi Nie
Published: August 2022

An enterprise's sales return ability is an important indicator of its future development, and enterprises often want to transact with cash to ensure sufficient cash flow and thus sustain their normal development operations. This paper will use public data of Chinese listed companies from 2008 to 2021 to explore the relationship between the percentage of state ownership in a company and the company's credit sales policy, and concludes the following: the higher the percentage of state ownership in a company, the lower the percentage of credit sales in a company. This reflects that state ownership helps firms to occupy a favorable position in transaction negotiations and is conducive to improving firms' ability to pay back. In addition, this paper makes policy recommendations for reference in response to the research findings.
Analysis And Prediction of Influencing Factors of Total Retail Sales of Consumer Goods in China——Based on Multiple Linear Regression Models and ARIMA Models
Authors: Zhang Yan
Published: August 2022

This paper takes the annual data of total retail sales of consumer goods in China from 2001 to 2020 as the research object. Using methods such as principal component estimation, ridge regression and Lasso regression, a multivariate linear regression model is established, and the regression results of the three models are compared and analyzed, and the significant factors affecting the total retail sales of consumer goods in China are the income level of residents, the level of consumption of residents, and the development of the tertiary industry, and the less significant factors are demographic factors. In addition, this paper takes the annual data of china's total retail sales of social consumer goods from 1973 to 2020 as the research object, and uses the ALAMA (0,1,1) model to predict and analyze the total retail sales of social consumer goods in China in the next ten years, and concludes that the total retail sales of social consumer goods in China will gradually rise from 2021 to 2030, which is consistent with the actual situation. Thus, it puts forward rationalization suggestions for increasing the total retail sales of consumer goods in China and promoting economic development.
The Influence of Executives' Overseas Background on Corporate Innovation Performance——Based on the Heterogeneity of Innovation Motivation
Authors: Jiang Yuewen
Published: August 2022

As a scarce resource, overseas executives are playing a crucial role in the implementation of innovation-driven strategy. Based on the perspective of the heterogeneity of innovation motivation, this paper uses the data of Chinese A-share listed companies from 2008 to 2020 to empirically examines the impact and mechanism of executives' overseas background on corporate substantive innovation and strategic innovation. It is found that executives' overseas background can promote corporation innovation, especially substantive innovation performance. The influence mechanism test depicts that the overseas background of executives improves corporate innovation by suppressing managerial shortsightedness and improving the quality of internal control. Further analysis shows executives’ overseas background can improve the innovation performance of growth and mature enterprises, especially the substantial innovation performance, while there is no significant impact on companies in recession. Market competition can enhance the role of executives' overseas background in promoting corporation innovation, especially substantive innovation performance.The research conclusions provide a reference for companies to hire overseas executives in a timely manner and promote innovation-driven strategies.
The Impact of Digital Economy Embedding on Trade and Export——Empirical Analysis Based on Transnational Panel
Authors: Yao Zhuang
Published: August 2022

with the advent of the digital economy era, digital embedding has brought significant improvements to enterprise exports. This paper adopts the input-output table of 56 departments between countries in the world database, the social and economic account sea, the annual report of the Wall Street Journal and the American Heritage Foundation, the global information technology report and other data. From the theoretical level, this paper expounds that digital embedding can improve total factor productivity and promote enterprise exports by promoting technological progress, and also demonstrates the impact of digital embedding on enterprise exports from an empirical perspective. After considering the endogeneity, this paper finds that the digital economy can improve the total factor productivity and increase the export of enterprises. After considering the robustness, it is still established. Based on the heterogeneity test of countries with different economic levels, national digital economy development levels, and different industries, digital embedding has a differential impact on the export promotion of enterprises. This study provides empirical evidence for promoting the digitalization of investment and promoting the rise of trade exports, and broadens the policy connotation of theoretical research.
Shareholding Ratio of Institutional Investors, Stability of Senior Management Team and Dual Innovation of Enterprises - The Moderating Role of Digital Transformation
Authors: Zhang Jianbin , Hao Longyu , Zhang Hanzhong , Gao Dong
Published: August 2022

There is still A lack of explanation on the influence mechanism of the existing theories of institutional investors on the dual innovation perspective. Based on the resource-based view, this project takes 3093 A-share listed companies from 2015 to 2019 as samples and uses OLS regression analysis to explore the relationship between the shareholding ratio of institutional investors and enterprise exploratory innovation, exploitative innovation and dual innovation. On this basis, the mediating role of TMT stability and the moderating role of digital transformation are analyzed. It is found that the shareholding ratio of institutional investors inhibits firms' exploratory innovation, development innovation and dual innovation. The stability of SENIOR management team plays a partial mediating role in the influence of shareholding ratio of institutional investors on exploratory innovation, developmental innovation and dual innovation. Digital transformation inhibits the influence of shareholding ratio of institutional investors on exploratory innovation, development innovation and dual innovation. This study expands the existing theory of dual innovation and provides experience for enterprise innovation management.
Critical Theory, Fascism, and Antifascism: Reflections from a Damaged Polity
Authors: Macdonald Bradley , Young Katherine E
Published: August 2022

The presidency of Trump has produced an increasing sense that we are possibly moving into a period of fascism in the United States. In this essay, we wish to look closely at conditions which define this current political period by taking seriously Max Horkheimer's plea to see the necessary relation of capitalism to protofascist potentials and fascist aspirations within our liberal democratic context. Drawing upon the work of Theodor Adorno, Herbert Marcuse, and others, we will look more closely at the particular political economic conditions that underlie the development of our one-dimensional society, in which "totalitarian" economic-technical control, rampant consumerism, and growing indebtedness and precarity create ripe conditions for the production of destabilizing political discourses that allow fascism to flourish in language and memes, if not necessarily within concrete statist forms that proudly proclaim the end of democracy. While noting the way in which the culture industry in its repetition of jargon helps to give vitality to antidemocratic practices and protofascist potentials, we propose certain important notes toward a critical theory of antifascism that takes seriously the imbrications of fascism and capitalism duly noted by the first generation of the Frankfurt School, one that is resolutely anti-capitalist while attempting to revive the volatility and potentiality of the "democratic void" in the service of true emancipation.
Impact du design de questions sur la perception des compensations proposées et les intentions de participation au pad: étude de préfaisabilité
Authors: Saulais Laure , Doyon Maurice
Published: August 2022

Le Plan d’agriculture durable (PAD) du gouvernement du Québec offre aux entreprises agricoles un ensemble de possibilités pour accélérer l’adoption des meilleures pratiques agroenvironnementales d’ici 2030. Il est prévu que des rétributions soient offertes pour compenser les coûts encourus suite à la mise en œuvre de certaines pratiques. Cette étude s’appuie sur les principes de l’économie comportementale et les techniques de l’économie expérimentale pour mettre en évidence des leviers comportementaux de l’acceptation et de l’adhésion des entreprises agricoles à certaines pratiques proposées par le PAD. À partir de l’analyse de données fournies par le Centre d’études sur les coûts de production en agriculture (CECPA) recueillies auprès de 489 répondants, les auteurs concluent que : 1. La façon de présenter l’information aux agricultrices et agriculteurs a un impact sur leur perception du montant de rétribution qui leur est présenté. 2. Présenter l’information comme un incitatif ou un bénéfice est préférable à présenter l’information comme une compensation de coûts. 3. Ajouter un préambule à l’offre de rétribution qui reconnaît les efforts déjà faits par les entreprises agricoles québécoises et la hauteur des défis vers l'amélioration du bilan environnemental de leur entreprise crée une émotion négative, réduisant ainsi la probabilité que les personnes interrogées acceptent un niveau donné de rétribution.
UTILIZATION OF RECLAIMED ASPHALT PAVEMENT (RAP) WITH PLASTIC WASTE (Dry Process) AS ROAD PAVEMENT MATERIAL IN FLEXIBLE PAVEMENT USING HOT MIX ASPHALT (H.M.A.) TECHNIQUE (Marshall Stability Method)
Authors: Choudhary Tuleshwar
Published: August 2022

The Reclaimed Asphalt Pavement Material (RAP) is obtained from the reclamation process from the bituminous roads, which are not commonly used for further construction, and dumped near the site. The RAP can be used as an aggregate. RAP also contains bitumen binder, which can be utilized in pavement construction. Since a decade plastic waste is used in road construction. Plastic waste safe disposal is also a big challenge to humans for protecting our environment and eco-system. There is no literature or research on the combined uses of RAP with Plastic waste. This project uses two waste materials, Reclaimed Asphalt Pavement Material (RAP) and Plastic waste for the construction of flexible pavement. Designing Dense Bituminous Macadam (DBM) Grading-II, which is now commonly used for flexible pavement on National Highway (NH), and State Highway (SH). Prepared samples with Reclaimed Asphalt Pavement material (RAP) and virgin aggregate, satisfying grading and specifications of aggregate as per MoRTH recommendations using Job mix formula (JMF). Bitumen Grade VG-30 used for binder. Adding Plastic waste as per IRC SP:98 2022[2] on hot aggregate (Dry Process) starting from 6% and increment of 2% up to 12% by weight of Optimum Bitumen Content (OBC). Assuming plastic will function as a binder. Comparing samples properties i.e., density, Marshall stability, flow value, air voids, voids in mineral aggregate, [VMA], and voids filled by bitumen [VFB]. From comparison found that RAP - 25% and Plastic waste 8% has satisfied all criteria of design & showed higher stability. The use of Reclaimed Asphalt Pavement Material (RAP) can save mines and disposal problems. Plastic waste uses in road construction also solves plenty of problems for the environment. The use of both waste materials can reduce the construction cost of the highway project. Key Words: Plastic waste, Marshall, stability, flow, energy, . environment ,Reclaimed Asphalt Pavement, RAP.
ระบบกลไกการขับเคลื่อนและกระบวนทัศน์ในการป้องกันการตั้งครรภ์วัยรุ่น
Authors: ณัฐรังสี จิรังกูร , ชัยวรรณวรรต ทศา , ตระกูลต่อวงศ์ พิมคณภรณ์ , จารุวัชรีวงศ์ สุธัญทิพ
Published: August 2022

ความเข้าใจเกี่ยวกับสาเหตุ และผลกระทบของการตั้งครรภ์ไม่พึงประสงค์เป็นการบูรณาการการแก้ไขปัญหาในวัยรุ่นไทย จุดเริ่มแรกของการแก้ปัญหาคือการรับรู้ในสาเหตุ และปัจจัยที่เกื้อหนุนให้เกิดปัญหา ลำดับต่อมา คือ การรับรู้ในปัญหา และการแก้ไขปัญหาในมุมมองที่สร้างสรรค์ โดยการกำหนดเป้าหมายร่วมกันผ่านวิธีการทำงานที่เกิดจากการเปิดใจ ร่วมคิด ร่วมวางแผน รวมคน รวมเงิน และทรัพยากรอื่นๆ เพื่อขับเคลื่อนงานป้องกันและแก้ไขการตั้งครรภ์ในวัยรุ่น พื้นที่ภาคตะวันออกเฉียงเหนือเป็นพื้นที่หนึ่งที่ได้รับการสนับสนุนจากสำนักงานกองทุนสนับสนุนการสร้างเสริมสุขภาพในการดำเนินงานด้านการป้องกันการตั้งครรภ์วัยรุ่น จากการประเมินผล พบว่า การดำเนินงานนำไปสู่ความสำเร็จในการลดอัตราการตั้งครรภ์วัยรุ่นในพื้นที่ จนเป็นจังหวัดต้นแบบในการขับเคลื่อนงานป้องกันและแก้ไขปัญหาการตั้งครรภ์วัยรุ่นในพื้นที่อื่นของประเทศไทย จึงสรุปได้ว่า ความสำเร็จของการป้องกันการตั้งครรภ์วัยรุ่น ต้องอาศัยปัจจัยนำเข้าจากผู้ที่มีส่วนเกี่ยวข้องทุกภาคส่วน และพยาบาลผู้มีส่วนในการขับเคลื่อนงานป้องกันการตั้งครรภ์วัยรุ่น จึงควรตระหนักถึงความสำคัญต่อการประยุกต์ใช้กลไกการขับเคลื่อนงานแบบบูรณาการ และการปรับกระบวนทัศน์เชิงบวก
การจัดการขยะมูลฝอยชุมชนที่ต้นทางของเทศบาลในจังหวัดตรัง
Authors: อินทร์เจริญ สาลี , นุ่นคง กมลรัตน์ , ศรีพล วิลาวรรณ , ใจเหมาะ สุพัตรา , ตันวัฒนกุล วสุธร , รัตนสัจธรรม กุหลาบ
Published: August 2022

การวิจัยครั้งนี้เป็นการวิจัยแบบผสมผสาน ประเภทการวิจัยแบบคู่ขนาน มีวัตถุประสงค์เพื่อศึกษาสถานการณ์การจัดการขยะมูลฝอยชุมชนที่ต้นทางของเทศบาลในจังหวัดตรัง กลุ่มตัวอย่างเป็นเทศบาล จำนวน 10 แห่ง ได้จากเกณฑ์การประมาณจากประชากร ผู้ให้ข้อมูลสำคัญ ได้แก่ หน่วยงานเทศบาล ผู้นำภาคีเครือข่าย และตัวแทนประชาชน กลุ่มละ 3 คน รวมทั้งสิ้น 90 คน การวิจัยเชิงปริมาณ เครื่องมือที่ใช้ในการวิจัย คือ แบบตรวจรายการ และแบบสอบถาม วิเคราะห์ข้อมูลโดยใช้สถิติเชิงบรรยาย ส่วนการวิจัยเชิงคุณภาพใช้การสัมภาษณ์เชิงลึกและการสนทนากลุ่ม วิเคราะห์ข้อมูลโดยการวิเคราะห์เนื้อหา ผลการศึกษา พบว่า 1) การจัดการขยะมูลฝอยชุมชนที่ต้นทางของเทศบาลที่มีการดำเนินการมากที่สุด คือ ลดแหล่งที่มาของขยะมูลฝอย โดยใช้หลัก 3Rs (ร้อยละ 77.33) ส่วนการจัดการที่น้อยที่สุด คือ ออกแบบสินค้า ภาชนะบรรจุ เพื่อลดปริมาณขยะที่แหล่งกำเนิด (ร้อยละ 5.56) 2) การตรวจสอบการจัดการขยะมูลฝอยชุมชนที่ต้นทางของเทศบาล พบว่า มีการตรวจสอบมากที่สุดโดยหัวหน้างาน/พนักงานเก็บขยะ (ร้อยละ 70.00) สภาพปัญหาที่ตรวจสอบพบมากที่สุด คือ การลักลอบทิ้งขยะ (เขตรอยต่อ) (ร้อยละ 90.00) การจัดการสภาพปัญหาที่ตรวจสอบพบมากที่สุด คือ ป้ายเตือนการลักลอบทิ้งขยะ และเน้นใช้มาตรการทางสังคม/ธรรมนูญชุมชน (ร้อยละ 50.00)
ผลของโปรแกรมส่งเสริมความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็ก ของนักเรียนชั้นมัธยมศึกษาตอนต้นโดยประยุกต์แนวคิดปรากฏการณ์ เป็นฐานร่วมกับการเรียนรู้แบบผสมผสาน
Authors: พึ่งเกตุ ญาณิศา , สรายุทธพิทักษ์ จินตนา
Published: August 2022

การวิจัยนี้วัตถุประสงค์เพื่อศึกษาประสิทธิผลของโปรแกรมส่งเสริมความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็กของนักเรียนมัธยมศึกษาตอนต้น กลุ่มตัวอย่าง คือ นักเรียนมัธยมศึกษาตอนต้นที่มีความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็กอยู่ในระดับต่ำ จำนวน 60 คน แบ่งเป็นนักเรียนกลุ่มทดลองจำนวน 30 คน ที่ได้รับโปรแกรมส่งเสริมความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็ก 8 สัปดาห์ สัปดาห์ละ 2 วัน วันละ 1 ชั่วโมง และกลุ่มควบคุมจำนวน 30 คน ที่ไม่ได้รับโปรแกรมส่งเสริมความฉลาดรู้ทางสุขภาพ เครื่องมือที่ใช้ในการทดลอง คือ โปรแกรมส่งเสริมความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็กของนักเรียนมัธยมศึกษาตอนต้นที่พัฒนาขึ้น เครื่องมือที่ใช้ในการเก็บรวบรวมข้อมูล คือ แบบวัดความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็ก วิเคราะห์ข้อมูลโดยใช้สถิติเชิงพรรณนา และทดสอบด้วยสถิติค่าที (t-test) ที่ระดับนัยสำคัญทางสถิติ (p < 0.001) ผลการวิจัยพบว่า หลังการทดลองค่าเฉลี่ยของคะแนนความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็กของนักเรียนกลุ่มทดลองสูงกว่ากลุ่มควบคุมอย่างมีนัยสำคัญทางสถิติ (p < 0.001) การวิจัยนี้ชี้ให้เห็นว่าโปรแกรมส่งเสริมความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็กที่พัฒนาขึ้นสามารถเพิ่มระดับความฉลาดรู้ทางสุขภาพเกี่ยวกับฝุ่นละอองขนาดเล็กของนักเรียนมัธยมศึกษาตอนต้นได้
Efektivitas Pengendalian Gulma Tanaman Eucalyptus sp pada Areal Mineral di Estate Cerenti, PT. RAPP
Authors: Triwiharto Agung , Yuslinawari  , Prijono Agus , Asmar Dika
Published: August 2022

One of the wood industry activities in the forestry sector is the Eucalyptus sp industry at PT.Riau Mainstay Pulp and Paper Riau Province. The wood production process is used for pulpand has many factors in its productivity. One of them is in the planting process with weedcontrol problems, which use the herbicide with the active ingredient glyphosate. The use of the herbicide with the active ingredient glyphosate is not effective against all types of weeds. Therefore, it is necessary to know the right combination of weed control methods to control weeds for the expected results. Research is located in PT. RAPP, Kuantan Singingi Regency, Riau Province. The research design used was a completely randomized design with a factorial pattern that used 2 treatment factors in the form of Weeding Round consisting of Weeding Round 5 Over Due (late weeding) and Weeding Round 5 On Time (on time) and weed control methods consisting of chemical methods, the tripe combination method with chemical and thecombination lever method with chemical. The parameters observed were the type and amount of weed vegetation, the development of weed death, the percentage of weed death and the PQA value of weeding. Data were analyzed by analysis of variance. The results that showed a significant effect were further tested using the LSD (Least Significant Difference) test. The results showed that there were 6 types of weeds found in the research area, namely Senduduk Bulu (Clidemia hirta), Senduduk (Melastoma malabathricum), Acacia mangium saplings (Acacia mangium), Lemidi Paku (Stenochlaena palustris), Grass (Poaceae) and Liana. The most dominant type of weed was Clidemia hirta with an Important Value Index of 127.72% and the weed with the smallest effect was liana with an Important Value Index of 0.88%. Based on the results of the analysis of the development of weed mortality, the percentage of weed mortality and the PQA value of weeding, the combination of jackhammer and chemical method is the most appropriate control method applied because it has an average PQA value of 100%.In the chemical method there are fern weeds that are difficult to die and in the combination tripe and chemical method there are fern weeds that grow new leaves on the 16th day of observation.Keywords: PQA Weeding; Weeds; Weed Control Methods
Simulation Of The Trans Binjai Bus Quue Service System Using Poisson And Exponential Distribution Test Results (Case Study: Binjai City Transportation Office)
Authors: Asrofi Liza Nasution  , Akim MH Pardede  , Fuzy Yustika Manik
Published: August 2022

The Trans Binjai Bus or Bus Rapid Transit (BRT) which is managed by the Binjai City Transportation Service is a bus system that is fast, comfortable, safe and on time. Each BRT system must use a different improvised system, although the improvements are shared with other BRT systems. The queue system in operations carried out by the Trans Binjai Bus often occurs overcrowding and even builds up at one point which results in Trans Binjai Bus users having to wait and not know the departure schedule. Therefore, the queuing system in the operation of the Trans Binjai bus must be carried out in a systematic and scheduled manner so that accumulation at one point and delays can be avoided. Queue is a waiting line situation where a number of physical units (entrants) are trying to receive service.
Expert System For Diagnostic Disease Of Cultivation Of Cucumber Holticulture Using Certainty Factor Method Based On Web-Based
Authors: Dhea Armaya  , Budi Serasi Ginting  , Yani Maulita
Published: August 2022

Indonesia is an agrarian country where most of the population earn a living as farmers, including cucumber farmers. The biggest threat to cucumber farmers is the presence of diseases that attack their cucumber plants. What often happens is that there are many losses due to cucumber plant diseases that are too late to detect and have reached a severe stage, causing crop failure. To identify a disease disorder on cucumber plants, an expert on cucumber plant diseases is needed in diagnosing symptoms of disease disorders that attack cucumber plants. The distance traveled by experts to find out cucumber plant diseases at the Department of Agriculture of Langkat Regency is difficult so that it makes farmers experience losses and it is difficult to diagnose diseases in cucumber horticultural crops. For that reason, so in this study an expert system was built to diagnose diseases in cucumber horticulture crops. This expert system has 7 diseases and 16 symptoms . The Certainty Factor method was chosen because it is able to provide a level of confidenceexpert on the problem at hand. Based on the results of the Certainty Factor calculation, the highest confidence value is found in powdery mildew and rotten fruit with a value of 0.6 with a value of 60%. From the results obtained, the system diagnosed that the plant was affected by powdery mildew and rotten fruit.
Expert System To Diagnose The Feasibility Of Drinking Water For Consumption Using Certainty Factor Method In Pdam Tirta Sari Kota Binjai
Authors: Niko Ramot Saragi  , Arnes Sembiring  , Nurhayati
Published: August 2022

Drinking water is water that has been processed or without processing that meets health requirements and can be drunk directly. Meanwhile, to find out the water is fit for consumption or not. It is difficult to distinguish what causes errors that lead to problems that occur such as health problems. Such as metal content must be safe for consumption. It takes a system that can be used as an information provider to determine the quality of drinking water suitable for consumption which is managed by PDAM Tirta Sari, Binjai City. An expert system using the certainty factor method in diagnosing the feasibility of drinking water for consumption. Drinking water in determining whether or not water is feasible and helps provide valid information about the feasibility of drinking water for consumption to customers.
Comparative Analysis Of Decision Support Systems Determining The Right Food Business Location In Binjai City Using Topsis And Saw Methods
Authors: Retno Hidayati  , Novriyenni  , Nurhayati
Published: August 2022

Every year, the development of the business world continues to increase. The location to open a business in accordance with the sales target in accordance with the market share is very difficult. In order to provide the right decision in choosing a business location, a method is needed in making decisions. Materials (data) and Methods: The business locations processed in this study were 6 types of criteria, namely the number of competitors, the level of population density, the number of supporting businesses around the location, business location permits, business position and traffic access. The method used in processing the data is SAW and Topsis. The stages of processing the SAW and Topsis methods in this research are initializing the wood data. The result of dividing and then multiplying all the criteria according to the weights. Then in the end, the highest preference value will be obtained for each alternative. The result of testing this method is ranking. The best ranking is the ninth alternative. This result has 90% accuracy. The choice of business location can be done optimally. So that the results of the decisions that have been obtained can be used as a guide for choosing a business location that is in accordance with the target market to be achieved.
Appropriate Use Of Anti-Diabetic Medicine In Diabetes Mellitus Patients In BPJS Participants In The Outstanding Policy Of Dr H.Soewondo Kendal 2020
Authors: Ika Pratiwi  , Elvira Rosa  , Nurul Syazwani  , Agustina Katikasari
Published: August 2022

Diabetes Mellitus (DM) is a chronic condition that occurs because the body cannot produce insulin normally or insulin cannot work effectively. Indonesia is ranked fourth in the number of people with DM in the world after the United States, India and China. Rational use of drugs requires that patients receive treatment according to clinical needs, in  the required dose of each individual within a certain period of time at the lowest cost. This research is a descriptive research. Descriptive research method is a research method that is carried out with the main aim of making a picture or description of a situation objectively. Descriptive research methods are used to solve or answer the problems being faced in the current situation.  The profile of the use of antidiabetic drugs in terms of gender is mostly women with a percentage of 57.7%, most patients are in the 40-60 year age group as much as 50.0%. The most use of single antidiabetic drugs is sulfonylurea 33.6%, combination therapy mostly uses 3 classes of drugs by 63.6%, namely Alpha Glucoside Inhibitors, Sulfonylureas and Biguanides. For the administration of combination therapy, the most insulin is a combination of longrapid and85.7 actingacting %.
Level Of Parent Education To Knowledge About Antibiotic In Children Ages 0 – 12 Years Old In Tanjungmojo Village, Kangkung District, Kendal Regency
Authors: Elvira Rosa  , Haini Santi  , Anindya Tri Hardiningtyas
Published: August 2022

Prescribing antibiotics for infectious diseases that are quite high and less wise will increase the incidence of resistance. Research objectives to determine the influence of parental education level on the knowledge of antibiotic use in children aged 0-12 years in TanjungmojoVillage, Kangkung District, Kendal Regency. The study used observational analytics with a cross sectional approach. The population in this study was all parents who had children aged 0-12 years in TanjungmojoKidul Village. The sampling technique used is purposive sampling of 55 respondents who have met the criteria of inclusion and exclusion. Education level data and further knowledge levels analyzed with Chi-Square test. Chi-Square test results between education level and knowledge level obtained p = 0.006. This shows a p value of less than 0.05 with a confidence level of 95% so there is a significant relationship between the level of education and the level of knowledge about antibiotics. There is a relationship of parents' education level to knowledge about antibiotics in children aged 0-12 years in TanjungmojoVillage Kangkung district of Kendal regency.