bluuebunny/crossref_metadata_2025 huggingface dataset:
Kurutma ve iklimlendirme parametrelerinin ahşap malzeme ve ahşap konstrüksiyon uygulamasına etkilerinin araştırılması
Authors: ALTUNOK Mustafa , ATAR Musa , AKTAŞ Mustafa , KÜRELİ İhsan , KESİK Haci İsmail , BÜLBÜL Ramazan , ULAŞAN Hilal
Published: May 2023

Bu çalışmada, ağaç işleri endüstrisinde yaygın bir şekilde kullanılan ve Türkiye coğrafyasında yeterince yetişmesi nedeniyle sarıçam (Pinus sylvestris L.), Doğu kayını (Fagus orientalis L.) ve sapsız meşe (Quercus petrea L.) odunları kullanılarak, kurutma ve iklimlendirme parametrelerinin ahşabın bazı fiziksel ve mekanik özelliklerine ve ahşap konstrüksiyon uygulamalarına etkisi araştırılmıştır. Deney örneklerinin hazırlanmasında kullanılan üç ahşap türünden kaba ölçülerdeki yeterli miktarda taslak parçalar ısıl işlem fırınında 100°C lik sıcaklıkta ve ritmik buhar püskürtmeli fırın ortamında 360 saat süre ile kurutulmuştur. Kurutulmuş üç odun türü taslak parçalardan 1260 adet deney örneği ilgili standartlara göre hazırlanmış ve araştırma yönteminde bildirildiği gibi kullanılmıştır. Deney örnekleri tümü sırasıyla 20°C/%65 iklim şartında (iklimlendirme odasında) 168 saat (bir hafta) bekletilip, örneklerin üçte birisine testler uygulanmıştır. Kalan örneklerin tamamı ardışık (münavebeli) olarak 40°C/%35 iklim şartında 168 saat süreyle bekletilip ikinci üçte biri test edilmiş ve en son kalan kısım (son üçte biri) 10°C/%50 iklim şartında yine aynı süreyle bekletilmiş ve fiziksel ölçümler ile mekanik testler uygulanmıştır. Böylece test örneklerinin ardışık (münavebeli) iklim şartlarında bulunması ile bir yıllık mevsimsel dış ortam döngü şartlarını ve bu şartların ahşap malzeme özelliklerine ve ahşap uygulamalar üzerindeki etkisi belirlenmiştir. Sonuç olarak, kurutulmuş ve her üç iklim şartında bekletilmiş deney örneklerindeki rutubet denge düzeyinin kurutulmamış deney örneklerine göre daha düşük düzeyde olduğu, daha az deformasyona uğradığı, genel olarak mekanik direnç değerlerinde artış belirlenirken özellikle kavelalı ve zıvanalı konstrüksiyon uygulamalarında önemli düzeyde stabilite sağlandığı tespit edilmiştir.
PARTIAL BUDGETING ANALYSIS OF THE SEVENTY-FIVE PERCENT REDUCTION IN ACARICIDE USE AND ADOPTION OF INFECTION AND TREATMENT METHOD ON PASTORALISTS’ CATTLE IN NAROK COUNTY, KENYA.
Authors: Tenesi Mukholi Gabriel
Published: May 2023

A 3-month prospective cross sectional and simulation study was carried out to determine partial budgeting analysis of infection and treatment method (ITM) using the Muguga cocktail vaccine with seventy-five percent in reduction in acaricide use on pastoralists cattle in Narok County, Kenya. The study was carried out in Osupuko and Loita sub-counties in Narok County. Partial budgeting analysis recorded positive net returns an indication of profitability of the ITM technology with seventy-five percent reduction in acaricide use. The ITM with seventy-five reductions in acaricide use realized a net return of Ksh.906.4 per immunized animal. This was significant because the information was generalized to the expansive Narok County. Thus, it can be concluded from the study that it is economically worthwhile to immunize cattle against ECF with seventy five reduction in acaricide use in the Narok County.
YATHĀBHŪTAÑĀṆADASSANAṂ: A STUDY OF KNOWLEDGE & VISION OF THINGS AS THEY ARE
Authors: Hai Yen Nguyen
Published: May 2023

Based on the basic teachings of Buddhism in the Sutta Pitaka, this article is written to clarify the meaning of Yathābhūtañāṇadassana (seeing things as they are) in the Theravada Buddhist tradition. Through research, the writer wishes the reader to gradually become aware of the real nature of the world as ever-changing, unstable, and ephemeral. Moreover, by understanding the true nature of all things, each person knows how to live peacefully in the present moment as well as has one's capacity to face the disadvantages of daily life with a peaceful mind.
The orthogeriatric cycle and orthogeriatric taxonomy: definitions, classifications, and conceptual elements for a better clinical practice
Authors: Dinamarca-Montecinos José Dinamarca-Montecinos
Published: May 2023

The incidence of fragility fractures is increasing. This group of diseases, mainly hip fractures, has enormous clinical, social, organizational, epidemiological, and economic impact. Orthogeriatrics emerged in the 1960s as a response to the impact of hip fractures on health systems. Since then, the cost-effectiveness of co-management models has been demonstrated, and the field of orthogeriatrics has expanded from acute care to prevention, rehabilitation, and follow-up, including involvement from clinical, academic, administrative, and political sectors. This has made associated indicators and standards increasingly complex. Moreover, orthogeriatrics initiatives are quite diverse throughout the world, since they arise due to varied local circumstances. Thus, it is necessary to review the foundations of the specialty to facilitate decision-making, comparison between models, and continuous improvement. In this article, we review current definitions and concepts in orthogeriatrics based on classic publications. We also reviewed the classifications of care models and carried out an evolutionary analysis of the field. Finally, we propose a taxonomic system that considers clinical, evolutionary, and functional aspects.
Non-Controlling Large Shareholders’ Exit Threat and Accounting Conservatism
Authors: Zhao Yuxuan , Gong Weidong , Chen Panpan
Published: May 2023

Non-controlling shareholders' withdrawal threat means that by showing the withdrawal tendency to the controlling shareholders, the controlling shareholders are forced to make compromises and improve the accounting soundness of the company. At present, the existing literatures mainly discuss the impact of exit threat on corporate finance and corporate performance, but few literatures study the causal relationship between exit threat and accounting conservatism, and the research field of its correlation is not perfect. Based on this, this paper takes the sample of China's A-share listed companies from 2010 to 2021 as the research object, studies the influence mechanism of the withdrawal threat of non-controlling shareholders on accounting conservatism, puts forward theoretical assumptions from the opposite angle, makes descriptive statistics and benchmark regression, and draws a conclusion; The robustness of benchmark regression conclusion is tested by PSM tendency score matching method and replacement variable method. Finally, based on the perspective of differences, this paper studies the heterogeneous influence of company size, long-term solvency and profitability on accounting conservatism, and finds that the withdrawal threat of non-controlling shareholders is significantly positively correlated with accounting conservatism, which expands the related research of withdrawal threat on corporate governance, and has reference significance for the check and balance governance mechanism of non-controlling shareholders of listed companies in China.
A study on the measurement of operational efficiency of commercial banks--Analysis based on super-efficient DEA model and Malmquist index
Authors: Yu Shaobo , Huang Jiayu
Published: May 2023

The banking sector has a risk-intensive character and early warning of the risk of commercial bank failures is particularly important. In order to measure the efficiency of commercial banks in Poland and provide a cut-off line for bank failure efficiency, this paper firstly adopts the dichotomous method to pre-process the existing data, then selects three representative input indicators and two output indicators to construct an evaluation index system for bank efficiency, and uses the super-efficiency DEA model to measure the efficiency of banks, and concludes that comprehensive technical efficiency inhibits the rise of bank efficiency, and the efficiency of banks in 2017 -2021 banks' efficiency showed a zigzag fluctuation trend; secondly, based on the static analysis of super-efficient DEA, the dynamic efficiency of banks was estimated and decomposed based on the Malmquist index method; finally, the failure cut-off was determined by testing whether there was a significant difference in the mean values.
The Influence of family Control on R&D manipulation: An Empirical analysis of listed companies in China
Authors: Qi Han , Zhang Kexin , Yang Xinyue
Published: May 2023

Innovation drives enterprises to carry out Research and development(R&D)activities, which leads to R&D manipulation. Reducing R&D manipulation is beneficial to improve the R&D performance of enterprises. Based on the data from 2008 to 2021, this paper studies the relationship between whether it is a family enterprise and the level of enterprise R&D manipulation, and finds that the level of R&D manipulation of family enterprise is lower. Family enterprises and non-family enterprises play an important role in the national economy. We should strengthen the supervision of the level of R&D manipulation of non-family enterprises and improve the corresponding policies and systems. The research results of this paper also have some enlightening effects on how to adopt strategic strategies and corporate governance in order to improve the competitiveness of family enterprises in the competition.
Calculation and Analysis of Green GDP based on EWM and Multiple Linear Regression Model
Authors: Luo Xinyi , Chen Zixu , Wang Lai
Published: May 2023

With the acceleration of the industrialization process, global problems such as resource shortage and ecological environment deterioration have become increasingly prominent. To uphold the concept of sustainable development, a real, feasible and scientific indicator: green GDP needs to be established urgently. But it is still difficult to promote green GDP on a global scale due to a lack of ideas and technology. In order to calculate and predict GGDP, resource and environmental factors are taken into account. Based on entropy weight method (EWM) and multiple linear regression, an improved global GGDP accounting method is constructed. The future development should pay attention to pollution prevention and ecological environment protection.
Digital Transformation, Corporate Performance and ESG: Evidence from A-Share Listed Companies
Authors: Li Zhiyu
Published: May 2023

Based on the background of the rapid development of the digital economy, panel data of China's A-share listed companies from 2014 to 2021 are selected to explore the impact of digital transformation on enterprise performance and the logical relationship between digital transformation, enterprise performance and ESG. The results show that enterprise digital transformation can improve enterprise performance, and ESG performance plays an intermediary role in the improvement path of enterprise digital transformation to enterprise performance. Further, the results are still valid after Sobel and Bootstrap tests, variable substitution and time lag method. The conclusion of this study provides a theoretical basis for clarifying the influence path of enterprise digital transformation on enterprise performance, improving enterprise ESG performance, and promoting high-quality economic development.
A study on the impact of GGDP on climate mitigation based on grey prediction
Authors: Liao Honglin , Shi Yuxuan , Yu Zhuoyi
Published: May 2023

GGDP is a new measurement standard. It can deduct the cost of natural resource depletion and environmental degradation from GDP, and make us more aware of the resource depletion and environmental degradation caused by economic development. the modeling of GGDP value is in line with the development needs of the times and is important for coping with economic growth and sustainable development for the well-being and future of human beings. We deducted the cost of natural resource depletion and environmental degradation from GDP, developed a GGDP estimation model, and calculated GGDP for China in the last decade. global warming is an important factor contributing to climate deterioration, so we used CO2 emissions to measure global climate change. Three indicators affecting CO2 emissions were selected as independent variables, and GDP and GGDP were treated as independent mentionable. Two CO2 emission prediction models based on multiple regression equations were developed separately, and the expected global impact on climate mitigation when GGDP is used as the main measure of a country's economic health was estimated by comparing different CO2 emission calculations of the two models. To further analyze the impact of GGDP on climate change, we developed a dynamic climate projection model based on the quadratic regression equation of the EKC-like curve and verified the global applicability of the model. Our calculations show that GGDP can reduce more CO2 emissions, slow down climate warming, and slow down glacier melting.
A study on the chemical composition of ancient glass products based on gray correlation analysis
Authors: Li Xian , Wang Ruoqi
Published: May 2023

The ancient high potassium and lead-barium glass made locally at the end of the Warring States period in China not only represents the trade interactions along the Silk Road in China, but also is the crystallization of science and art of the ancient people, and has high research value. In this paper, we first adopt the systematic hierarchical clustering based on Euclidean distance, by dividing different degrees of Euclidean distance to obtain the statistical law of glass type classification. Based on this, a hierarchical clustering model based on PCA dimensionality reduction is used to classify the chemical composition into subclasses. Then, the unknown glass-types were identified according to the classification law, and a classification model based on decision tree cross-validation was established. To test the reliability of the model, we used a comparative analysis with the mean line graph of each component before and after known weathering, and the results were finally found to be reliable. Finally, we used gray correlation analysis to discuss the classification of the two types of glass artifacts, solved the correlation degree of fourteen elements in the two types of glass separately, and analyzed the differences between them.
Analysis of customer satisfaction of HIMO Photo Studio based on Ordered Regresssion
Authors: Sun Xinyi , Wei Zijie , Wang Jiaheng
Published: May 2023

With the upgrading of consumption and the improvement of living standards, a group of new type photo studios represented by HIMO Photo Studio have arisen and developed dramatically and become the benchmark of the era in the portrait photography industry. In this paper, we apply LDA topic classification and TF-IDF feature extraction method to conduct text feature extraction and encoding vectorization on the comment data of Beijing HIMO Photo Studio. An ordered regression model with customer satisfaction as the responding variable is established, and the interaction effect is also introduced into model to study the influencing factors of customer satisfaction creatively and quantitatively so that we can give suggestions for improving service quality. The empirical results show that factors such as photo season, shop type, waiting time, photo works, service attitude, photo subject, photo category and so on have a significant impact on customer satisfaction and there are significant differences in customer satisfaction with the same type of photos in different shops. Combining the business goals of HIMO Photo Studio and the industry needs of today's new type photo studios, this paper puts forward targeted suggestions for HIMO Photo Studio to further improve its services according to the conclusions of the model.
Fisher Linear Discriminant and Systematic Cluster Analysis based on analysis and identification of the composition of ancient glass products
Authors: Fang Jiankun , Cao Shihao , Li Zhaoyang
Published: May 2023

The Silk Road was a channel of cultural exchange between China and the West in ancient times, of which glass was a valuable physical evidence of early trade exchanges. Therefore, it is important to analyze the ancient glass products for the research related to ancient times. In this paper, in order to get the classification law of high potassium and lead-barium glass, firstly, the discriminant relationship function was obtained by using Fisher Linear Discriminant Analysis. Secondly, the data were downscaled by Principal Component Analysis to get five principal components, and then Fisher Linear Discriminant Analysis was used to get the discriminant function, and the results all passed the cross-check, and the model accuracy was 95.29% and 91.43%, respectively. The subclasses were classified by Systematic Clustering Model and Elbow Method, and it was concluded that the high potassium glass was mainly divided into two subclasses based on whether the silica content was greater than 80%; the lead-barium glass was mainly divided into four subclasses based on the content of three different chemical components: silica, barium oxide and phosphorus pentoxide. And through the reasonableness and sensitivity analysis, this paper got that different chemical compositions have different size influence on the classification of glass.
Analysis of Player Attitudes and Behaviors towards Different Mobile Games based on Variance
Authors: Zhang Yueyi
Published: May 2023

This article is based on a survey of farm games, MOBA arena games, women's games, asymmetric arena games, and open world games, all of which are mobile games. The data were collected through questionnaires. This paper analyzed player data for Obi Island, King of Glory, Shinning Nikki, Identity V, and Genshin Impact using analysis of Variance, One-way analysis of variance, and Pearson Analysis of Variance. The net result is a majority of women. The open-world game was the only one of the five where more than half of the players were male. Women's games require less time per day, but cost the most. Farming is a daily game that takes the most time but the least money. The conclusion of this article is that players can depend on the age of the player, the gender of the player, and the amount of time the player needs to spend per day. Players need to spend money these five aspects according to their own situation to choose suitable for their own games. Game developers can also adjust their publicity programs, plan programs, and improve their shortcomings according to the above factors.
Analysis of Average Air Temperature in New York based on SARIMA Model
Authors: Dong Yuning , Li Zihua , Zhong Wentian
Published: May 2023

Temperature prediction is one of the most vital part of weather forecasting. The temperature change has a great impact on agricultural, environmental evolution, human activities etc. The monthly average temperature of the Central Park Meteorological Observatory from 1869 to 2020 is the data to get sorted and analyzed. The SARIMA model is selected to forecast and analyze the monthly mean temperature of New York City. The first step is using the ADF test to check whether the original time series are basically stable, and through the test, the period was obviously 12. Then, by comparing with the data of first-order difference and first-order seasonal difference, the AIC value of the original time series was the smallest, it is no need to carry out the difference. The function in R is used to determine the order, and it is found that SARIMA (1,0,2) (2,1,0,12) model has the best fitting effect. Meanwhile, the residual is no autocorrelation of white noise. Finally, the average monthly temperature from 2010 to 2020 is predicted based on the original data. The difference between the predicted temperature and the actual temperature in most months is less than 5%, and the model is basically consistent with the reality. However, during the counting of the average annual temperature, the prediction results are almost unchanged after using the monthly data. This situation is quite different from the current state.
Evaluation of Limits Involving Trigonometric Functions by L’ Hospital Rule
Authors: Sun Mingrui
Published: May 2023

Limit is the basic idea of calculus and it is the theoretical basis of a series of important concepts such as derivatives, continuity, definite integral, etc., In addition, it is a tool for solving many problems, thus correctly mastering the calculation methods and skills of the limit is of great significance to learn more advanced mathematics well. Through induction and conclusion, this article mainly introduces the application of several methods of solving the limit in light of L'Hopital's rule, as well as gives the analysis of example problems for each method. For this purpose, it is expected that readers can get some inspiration for solving problems from them, so that they can solve problems more clearly. Furthermore, a brief introduction is made to the main content of the L'Hospital's rule in advanced mathematics and an analysis is given of the misunderstandings in the teaching and application of the L'Hospital's rule, and a detailed description of many specific application of the L'Hospital's rule in the analysis of limit problems.
Word analysis prediction based on ARIMA model
Authors: Wu Yuchen , Zhu Yaomeng
Published: May 2023

First, Data processing was first performed to judge outliers if they were outliers, and finally missing values were filled in, and for the remaining valid data, change trend graphs were drawn to judge the trend of change in ascending rates and to predict future trends, using three mathematical models, ARIMA model, principal component analysis and Lasso regression model, which were used to describe the past change trends, and predict the level of change in the number of future word predictions. A comparative analysis of the models used above was conducted to compare the accuracy of each model, to derive which model predicted the most accurately, to give a rationale for the analysis, and to compare the accuracy of each model. Second, a model was built to analyze whether the change in the number of correct word predictions was related to which attributes of the words themselves and to elaborate the relationship. The data were subjected to KMO and Bartlett's tests to determine if a principal component analysis could be performed. This is followed by an exploration of whether the attribute has an effect on the number of correct predictions, how the change is affected, a visual presentation in the form of a graph, and a conclusion. To present an opinion, the paper considered the main factor that affects the number of predictions and propose measures to reduce the scenario brought by this factor. Finally, the paper came up a constructive report with listing and describing some other interesting features of this dataset.
The Square-root Elastic Net With a New Calculating Method
Authors: Ai Chen , Shi Shaoping
Published: May 2023

The elastic net is a well-known algorithm and powerful in simultaneous estimation and variable selection under diverse conditions. In this paper, we proposed a novel version called square-root elastic net, which expands the application of the elastic net in some common cases that the noise distribution of data is not normal. We showed a calculating method based on proximal gradient descent combined with backtracking. Similar to the elastic net, the square-root elastic net can select more essential features than the sample size. Furthermore, the mean square error of the square-root elastic net is remarkably reduced when dealing with the abnormal noise compared to the elastic net.
The Application of Bayesian Theorem
Authors: Zhang Yuexin
Published: May 2023

Bayesian theorem is an outstanding theorem in probability theory. With the development of technology and the progress of society, the advantages of Bayesian theorem gradually show, which let us better utilize existing resources to make more accurate judgments. Further understanding of the application of Bayesian theorem in different fields will help us to clarify the future development trend and deficiency of this theorem. Numerous studies have explored this theorem's advantages and developments in several heated areas. In this study, the link between Bayesian theorem and three main fields, which are finance, computer science, and medicine, is carefully studied. In finance, the distribution, , aiding investors to make decisions in terms of both prior information and sample information are studied, as its mean   balances two kinds of information. In computer science, an algorithm based on the Naive Bayes model is used to effectively filter spam, and TAN. Besides, one of naive Bayes model’s improvements is also discussed and compared. In medicine, the theorem upgrades the accuracy of diagnosis. In addition, a practical example is adopted to prove its function in breast lump disease. With abundant investigations and extensive applications, Bayesian theorem will be deeply rooted in human lives in various fields and greatly facilitates further research in these fields soon.
Some explorations of linear algebra
Authors: Wang Heng , Zhao Changheng
Published: May 2023

It is a fundamental problem in quantum information whether a particular quantum state of a composite system is entangled. It has enormous potential in quantum error correction, quantum cryptography, and quantum teleportation applications. This problem can be transferred in the form of a mathematical conjecture in language of linear algebra. In this paper, the authors explain the important applications, convenience, efficiency of using linear algebra in math physics, and computer science. The authors give some examples of linear algebra used in various areas, including datum coordinate system finding a location, encryption and decryption algorithm, storage of images, classical mechanics, and quantum physics. The authors list the definition of the matrix, real matrix, complex matrix, diagonal matrix, identity matrix, scalar matrix, trace, rank, and determinants of matrices. The authors explored Laplace expansion, transpose, inverse, conjugate of a matrix and addition, multiplication between matrices and between a scalar and a matrix, Kronecker product and their properties of matrices, the definitions and solving method of eigenvalue and eigenvector, and the diagonalisation and its conditions of matrices. The authors introduce the applications of matrix transformations and operations in programs. The authors explain two encryption and decryption algorithms based on linear algebra and their strengths and weaknesses.
Asteroid Mining in a Global Equitable Environmente
Authors: Liu Mohan , Liu Jingwei
Published: May 2023

With the advancement of human technology and the continuous development of society, asteroid mining has entered people’s field of vision. In order to better solve a series of problems caused by asteroid mining, firstly, we use the equitable distribution of resources and opportunities to explain what global equity is, and create a global equity model using Analytic Hierarchy Process (AHP). Secondly, we establish a linear model and demonstrate the economic feasibility of this model by introducing data. Finally, we build an elastic demand curve model and a Quantitative model of financial investment papers to vary the amount of mined and the allocation rate of mined ore in the asteroid mining sector, respectively, to analyze their impact on global equity.
Survey of Wind Power Output Power Forecasting Technology
Authors: Zou Yibing
Published: May 2023

Because of the randomness of wind energy and the non-linearity of power system, there are many dubious variables that should be noticed when forecasting the output power of the wind power. Physical method is often used in the medium-term forecasting, as its model does not require the historical data of the wind farm. The statistical method is simple and requires a small amount of data. It can be applied in those situations where data acquisition is difficult. The artificial intelligence model is suitable in the random or non — linear system as it does not rely on the accurate mode of the objective. The combined forecasting model maximizes favorable factors and minimizes unfavorable ones as contained in above-mentioned methods. This article gives out a brief summary and proposes some improvement measures against the main existing problems in prediction field.
Study on the interests of nature reserves and their surrounding residents
Authors: Wang Yuan , Ren Tongxin , Guan Di , Liu Huilin
Published: May 2023

In order to strike a balance between protecting wild animals and other natural resources and safeguarding the interests of people in the surrounding areas, we developed a dynamic game model that considers both factors. We used the number of wild animals and per capita GDP as observation targets, with the goal of optimizing the income of the surrounding residents while also maximizing the number of wild animals. The objective is to achieve a harmonious state where both benefits are balanced.While punishing residents for destructive behavior can be effective, it is important to protect their economic and living interests. This can be accomplished through increased awareness and education on the importance of preserving wild nature reserves, as well as by improving the employment and income opportunities of the residents. Developing local scenic spots can also help to increase the income of the surrounding communities and improve their overall living conditions. By taking these measures, we can create a sustainable and harmonious environment where both wild animals and people can thrive.
Feasibility Analysis of Coordinated Development of Hydrogen Energy and Solar Energy
Authors: Hu Yiran
Published: May 2023

Nowadays, the world’s demand for new energy continues to increase, however, single new energy often has low efficiency and high cost. Therefore, how to realize the mutual promotion and common development of the two new energies is an issue worthy of study. This paper briefly introduces hydrogen energy and solar energy, including the applications and development prospects of these two energy sources. Hydrogen fuel cell and hydrogen power vehicle are two examples of hydrogen energy application. In the long run, hydrogen energy has a wide development prospect, it can be applied in transportation, metallurgy, etc. However, people still have to solve some problems, such as hydrogen energy has potential safety hazards, and is difficult to be transported and stored. Solar energy is mainly used in solar photovoltaic power generation, solar water heaters, etc. This energy has a wide development prospect, but the efficiency of solar energy products is low. Besides, this paper compares and analyzes the advantages and disadvantages of these two new energy sources, and discusses the possibility that solar energy and hydrogen energy can develop collaboratively according to their advantages and disadvantages. Tentatively put forward suggestions on how to realize the complementary development of advantages and disadvantages of solar energy and hydrogen energy. In the future, improving the efficiency of solar hydrogen production technology and reducing its cost are the main efforts to achieve the coordinated development of hydrogen energy and solar energy. At this stage, researchers pay more attention to solving the problems that arise in the application of a single energy source. This paper provides new ideas on how to solve these problems.
The Digital Economy and Urban Carbon Reduction
Authors: Zheng Qizhong
Published: May 2023

As an important tool for high-quality development, the digital economy plays a key role in the low-carbon transformation of Chinese cities and implementing the "double carbon" strategy. This paper attempts to systematically examine the effects and impact mechanisms between the digital economy and carbon emissions at theoretical and empirical levels. Using panel data from 282 prefecture-level cities in China from 2011 to 2019, we analyze the impact of the digital economy on urban carbon emissions and its mechanisms of action using panel data econometric models and mediating effects. The findings show that the digital economy significantly reduces urban carbon emissions, and this conclusion still holds after a series of robustness tests, and the positive effects of the digital economy become more and more obvious over time; the digital economy can promote carbon emission reduction by optimizing the industrial structure of cities and strengthening the introduction of foreign investment. These findings confirm that the beneficial effects of the digital economy have been extended to social welfare, providing a useful reference for sustainable economic and environmental development. At the same time, the Chinese government should increase its efforts to build digital infrastructure, expand the application of digital technology and improve the industrial structure to contribute to China's low-carbon development. The research in this paper advances a deeper understanding of carbon emission reduction and the effects, mechanisms, and stages of carbon reduction driven by the digital economy.
Preface: 3rd International Conference on Mechanics and Civil Engineering (ICMCE 2023)
Authors: Thackeray Jeffrey , Zhao Kun
Published: May 2023

2023 3rd International Conference on Mechanics and Civil Engineering (ICMCE 2023) was held in Hangzhou, China during March 25-26, 2023. The conference provides a useful and wide platform both for display the latest research and for exchange of research results and thoughts in applied mechanics, mechanical engineering, architecture, structural engineering, geotechnical engineering, and civil engineering.

The participants of ICMCE 2023 were from many countries, with background of either academia or industry, even well-known enterprise. We would like to acknowledge all of those who supported this conference. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the technical committee for their valuable advices and helpful peer review of the papers.

We sincerely hope that ICMCE 2023 will be a forum for excellent discussions that will put forward new ideas and promote collaborative researches. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes.

ICMCE 2023 Organizing Committees

Hangzhou, China
Optimization Analysis of Key Technologies of Super High-Rise Buildings with Soft Soil Foundation
Authors: Yang Yitong
Published: May 2023

The frequency of super high-rise buildings has gradually increased in larger cities. Compared with ordinary buildings, super high-rise buildings involve more difficult technologies of construction. Soft soil foundation is one of the unfavorable foundation types for engineering construction because of its high sensitivity and low bearing capacity. Therefore, the combination of super high-rise buildings and soft soil foundations will greatly increase the insecurity of the project. Although related methods of soft soil treatments have been proposed and optimized in recent years, there is still a lack of targeted construction methods combing for super high-rise buildings, which is of vital significance to improve the safety and efficiency of future construction projects. Based on the case analysis of Jinmao Tower, Shanghai World Financial Center and Shanghai Tower in the Lujiazui zone, this paper summarizes the optimization of key technologies of super high-rise buildings under the background of soft soil foundation. The author hopes to provide a clear reference for future projects by systematically sorting out the construction projects in this typical area.
Analysis of Properties and Influence Factors About Compressive Creep of Concrete
Authors: Yue Lingfei
Published: May 2023

Creep is one of important objects in concrete studies. As the creep research progresses, the change of creep of concrete under different conditions becomes an important topic. Therefore, this study explores the variation trends on creep of concretes in various stress, time and temperature by data collection and contrastive analysis. Some important properties of compressive creep in concretes were obtained. To be more specific, if one of compressive stress, time and temperature grows or reduces in the stationary condition, the creep will increase or decreases correspondingly. In other words, the changes of creep in concretes are synchronous with the three factors, but the magnitudes of variation are different (non-linear). Therefore, the engineers and other workers can control the creep by rising the compressive load carrying capacity, regularly inspecting components, and avoiding fires. This study can provide valuable information and properties of compressive creep in concretes and help the designers easily use the right materials. Finally, the study offers some new topics that can be explored by other researches as targets.
Analysis of Seismic Collapse-Resistant Influencing Factors of RC Frame Structure
Authors: Luo Tian
Published: May 2023

The RC frame structure is widely applied in China due to its flexible layout and good anti-collapse capacity during an earthquake. However, a lot of RC frame structures collapsed in the strong earthquake zone during the Wenchuan earthquake. The collapse resistance of the RC frame structures during an actual earthquake is inconsistent to the designed seismic collapse resistance in a project. So the collapse resistance of reinforced concrete (RC) frame structures during an earthquake and its influencing factors are a hot research topic in the field of earthquake engineering. Based on the research results of scholars in recent years, this paper briefly discusses the evaluation criteria of structural collapse, the structural collapse mechanism during a real earthquake and the influence of nonstructural components. Finally, the influencing factors are summarized in terms of design methods, plastic hinges and nonstructural members, which have certain reference significance for the seismic collapse resistance design.
Analysis of Important Methods for Bridge Inspection and Maintenance
Authors: Li Ji
Published: May 2023

Bridges are considered an essential part of modern transportation systems and play a vital role in the economic growth and cultural exchange of the two regions they connect. However, loads from typhoons, overexposure to rain, sun or seawater, increased transportation loads, and even periodic deterioration of steel reinforcement can have serious negative effects on bridges. Inadequate preventive measures may lead to structural failure, which can result in injury, death and property damage. The awareness of the importance of bridge maintenance and preventive measures has now slightly increased, while many unhelpful, less than scientific and accurate questions have been raised. Therefore, this article concludes the factors that may lead to bridge damage, the significance of bridge maintenance, and five promising maintenance or construction approaches. The goal of better, safer, and more efficient design by engineers or workers through the above techniques and methods will hopefully be achieved. From the first two studies, it can be seen that if the newly introduced methods are scientifically proven, they may be more suitable to be adopted. This paper also analyzes and discusses three concepts that are extremely important for a probability estimation or a maintenance project construction.
Analysis And Prospects on The Construction of High-Rise Green Buildings
Authors: Yuan Boyu
Published: May 2023

Green building basically refers to environmentally friendly building. At present, green buildings still make up a small share of the global construction industry. At the same time, high-rise buildings are growing in densely populated places, but these buildings consume a lot of energy and resources. Therefore, the green high-rise building is very important. Based on relevant researches, this paper analyzes the design and construction of high-rise green buildings from the aspects of technology, material and economy, taking Shanghai Tower as an example. This paper also argues that advanced computer technology will appear more and more in the future construction projects. High-rise green buildings should minimize the impact on the environment, but also pay attention to the impact of the environment on the building. In addition, adequate investigation and analysis should be carried out to ensure that green technologies are suitable for local climate and resource characteristics. In order to create a good environment for the development of green building, it is necessary for all relevant departments of society to cooperate and reduce the cost of green building. The future development of green buildings still depends on the development of relevant technology, research and education. While ensuring the performance of the building, it is necessary to find more environmentally friendly and cheaper structures and materials as a solution.
Numerical Analysis of Bending Toughness of Steel Fiber Reinforced Cement Based Materials
Authors: Zhang Yunguo , Li Suning , Zhu Tingting , Li Gang
Published: May 2023

Steel fibers have a significant toughening effect on cement-based materials. In order to address the issue of relying solely on experimental evaluation of their bending toughness, a numerical analysis method based on the steel fiber bridging theory has been proposed. By establishing a crack extension criterion for fiber-reinforced cement-based composite materials based on the balance between the stress intensity factor generated by external loads, steel fibers, and matrix cohesion at the crack tip and the fracture toughness of the composite material, the toughness of the composite material is evaluated. Through steel fiber-matrix pull-out tests, the bonding characteristics of four types of steel fibers, namely shear, milling, short hook, and long hook, with the matrix are analyzed. A program is then developed using Ansys software APDL language for numerical simulation of the bending and cracking process of the notched beam of the steel fiber-reinforced cement-based composite material. The obtained load-deflection curve and bending toughness index are compared with the results of the notched beam bending test, thereby validating the correctness of the numerical analysis method. The results show that the bending toughness of steel fiber-reinforced cement-based composite materials is closely related to the volume fraction of steel fibers and their bonding characteristics. The balance relationship of the stress intensity factor at the crack tip is the key factor determining crack propagation, and the proposed numerical analysis method can effectively assist in the analysis of the bending toughness of steel fiber-reinforced cement-based composite materials.
Analysis of risk sources and protective measures for cable laying in built tunnels
Authors: Bai Yutao , Yu Wei , Yi Tao , Gao Fei , Tu Yue , Wang Xiaofeng
Published: May 2023

For rational development and comprehensive utilization of urban underground space, improve the utilization rate of urban highway tunnel, it is considered to lay power cables on the basis of built tunnels. However, there are certain hidden risks. Therefore, the following research is carried out to identify and implement corresponding protection measures for risks: first, the structural composition of the cable tunnel is analyzed, meantime, the safety risk events of the historical cable tunnel are studied, and then the various risk sources existing in the laying of the power cable system using the built tunnel are identified. Based on this, the corresponding protective measures are put forward in order to improve the reliability of the cable laid in the existing tunnel.
Strategic Orientation and Resource Allocation Issues for Resource-Dominated Enterprises Focusing on Collaborative Innovation
Authors: Zhang Keying , Jiang Miao , Xie Xinyan
Published: May 2023

This paper investigates the current situation and challenges faced by resource-dominated enterprises in strategic orientation and resource allocation concerning collaborative innovation. With the development of global economic integration, resource-dominated enterprises face increasingly fierce competition and technological innovation challenges, making collaborative innovation a core element of international competition. However, due to the unique nature of resource-dominated enterprises, such as resource dependency, extended industrial chains, and longer development cycles, implementing collaborative innovation presents more severe challenges. Therefore, this paper proposes countermeasures to optimize strategic orientation and resource allocation to enhance the collaborative innovation capabilities of resource-dominated enterprises. This research holds guiding significance for both theoretical and practical realms.
An Overview of Production Strategy and Pricing Strategy of Standard and Customized Enterprises
Authors: Cheng Yueyi
Published: May 2023

With the development of social economy and the improvement of consumption level, consumers pay more and more attention to the diversification and individuation of products. The progress of digital economy and intelligent manufacturing technology makes it possible for enterprises to produce customized products that fully meet consumers' expectations. This paper systematically reviews the research status of production strategy and pricing strategy of standard and customized products, summarizes the shortcomings of existing research, and points out the direction for subsequent research.
Review of Advances in Microalgae Cultivation Technology
Authors: Sun Wen , Zhang Yang
Published: May 2023

The research results of many previous authors were summarized, and two types of microalgae culture methods were reviewed: suspension culture technology and attachment culture technology. On this basis, the future development direction of microalgae culture is prospected in order to provide a reference basis for the future large-scale production of microalgae.
Conceptual Metaphor and Cognition: From the Perspective of the Philosophy of Language
Authors: Guo Zifei
Published: May 2023

Metaphor remains a pivotal focus in the philosophy of language as Lakoff stresses that metaphor is a cognitive phenomenon of human beings and an indispensable part of key cognitive areas. By employing a vast number of metaphorical phenomena to demonstrate the intriguing correlation between language and cognitive structures, Lakoff proposes conceptual metaphor and integrated the study of metaphor into cognition, thereby breaking away from the shackles of traditional views on metaphor. Meanwhile Lakoff has realized the nature, mechanism and characteristics of metaphors from the cognitive perspective within the framework of philosophy of language. In terms of the transition from viewing metaphor as a rhetorical device to a cognitive pattern, relevant studies not merely emphasize on the linguistic form of the metaphor, but also on its essence as conceptual metaphor relying on the subjective cognition of language users as well as the external objective environment. On the basis of the philosophy of language, the essence of metaphor shall be defined and realized. Nowadays, machine translation is developing rapidly, but there are still many deficiencies in the use of AI affective computing and metaphor processing. Studies of metaphors and imagination in literary language can enhance the performance of AI in terms of machine translation and are expected to realize the true swarm intelligence in NLP.