bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of the Clinical Placement Quality Survey – Educator (CPQS-E) Tool to Evaluate the Quality of Physiotherapy Clinical Placements
Authors: Hargreaves Joanna , Thomas Peter , Kirwan Garry
Published: June 2024

Background: Increasing demand for entry-level clinical education placements has resulted in changes to traditional models. In this evolving landscape, the ability to effectively assess clinical placement quality is critical. However, existing tools are not specific to physiotherapy and/or have focused on student’s perspectives.

Purpose: To design a tool that can be utilised by clinical education providers to measure the quality of physiotherapy clinical placements.

Methods: A survey was developed based on published recommendations for quality indicators in clinical education. Content and face validity were established using an expert panel of clinical educators (n=18). Test-retest reliability was tested via physiotherapy clinical educators (n=62) completing the survey twice over a two-week period. Reliability of the survey was assessed using intraclass correlation coefficients (ICC), test-retest percentage agreement, and Cronbach’s alpha.

Results: The ICC of 0.87 indicated minimal measurement error. The majority (98%, n=62) of test items met criteria for close agreement. The correlation coefficient of reliability ranged from 0.73 to 0.87 across four defined constructs.

Conclusion: Initial assessment of the Clinical Placement Quality Survey - Educator (CPQS-E) tool indicates that its properties provide a valid and reliable measure of entry-level physiotherapy placement quality from the perspective of the clinical educator.
Design and Fabrication of Automatic Cattle Feeder System Using IOT
Authors: P Ganeshan , P Devadharshan , R Anistonrahul , P Vijay
Published: June 2024

The old-fashioned method of physically feeding cattle takes time. Before feeding the animals along the side of the feed fence, the autonomous cow feeding system employed in this research travels a predefined path for a specified amount of time. The feed mechanism is operated over a predetermined time period by the prototype using an Arduino circuit. Considering that more than 40 percent of total work time is devoted to this activity, feeding constitutes one of the higher expenditures for farm owners in addition to being directly tied to the production of the cattle. Due to the lack of technological utilization, the dairy business has a significant Labor need. These labors are particularly expensive for the owner of the dairy farm since they are only required for 3 hours each morning and three hours in the evening, but they must be paid for the entire day. Hence, an automatic cow feeding equipment has been created to decrease the owner effort and expense. In this research we use two barrels to store the cattle food and a sensor is placed to open the barrel opening to fill the food in the collector in which the cattle eat their food. This process is done for period like morning once and evening once.
Correlation Between English Speaking Self-Efficacy and Proficiency: A Case Study of English Majors at Modern College of Northwest University
Authors: Yuan Jing , Huang Mei , Shi Xinyu
Published: June 2024

This study explores the link between self-efficacy in English speaking and speaking proficiency among English majors at Modern College of Northwest University during their English Speaking class. By examining the beliefs students hold about their English-speaking abilities and how these beliefs relate to their speaking scores, the research seeks to determine the effects of various speaking tasks on students’ self-confidence in speaking. Data gathered from 155 participants using questionnaires and English-Speaking scores demonstrated a positive relationship between speaking self-efficacy and proficiency. The results emphasize the significance of boosting speaking self-efficacy in English Speaking classes and provide guidance for teaching methods that enhance students’ confidence and performance in speaking.
Research on Predicting Momentum Changes in Tennis Matches Based on Markov and Random Forest Algorithms
Authors: Han Shuqian , Alia Shayahaxi  , Yu Chengzhi
Published: June 2024

Nowadays, momentum is widely mentioned in sports competitions and is regarded as an important psychological and emotional state, but its essence and impact on the results of the game are difficult to accurately quantify and analyze. Therefore, studying the momentum effect in sports competitions and predicting momentum changes is particularly important. We first evaluate the momentum effect in the tennis match by calculating the state transfer matrix of the Markov chain about the tennis score. Using the data of 31 matches about 2023 Wimbledon men’s singles tennis match, we calculated that the server indeed has a higher probability of winning the serve game. In order to simplify the model, assuming that the transfer probability of the momentum state is equal to the transfer probability of the score state, we have established a momentum model that can capture the progress of tennis matches.Then, we have carried out a series of preprocessing of data, such as One hot encoding. Use a series of indicators of two players as independent variables to build a random forest model. The model has RMSE of 0.15, MAPE is 0.18, and  is 0.2. Then use the SHAP algorithm to find out the factors most relevant to the momentum of the game.
The Application of Scaffolding Instruction in English Writing Class in Senior High School
Authors: Wu Lixuan , Wang Yuqing
Published: June 2024

English writing teaching in senior high school is an irreplaceable way to improve students’ language literacy and expressive ability. The traditional English writing teaching model neglects students’ cognitive activities in the writing process, and the application of scaffolding instruction in actual contexts of English writing teaching in senior high school makes up for this deficiency. Scaffolding instruction is based on constructivism and the zone of proximal development theory, which advocates that teachers or adults with solid professional ability should participate in learning activities with students and provide external support to help them complete tasks. The application of scaffolding instruction in English writing teaching in senior high school emphasizes students’ initiative in mastering writing knowledge and skills, significantly improving students’ ability to construct knowledge and write independently. This paper analyzes the practical problems and reasons for implementing scaffolding instruction in English writing teaching in senior high schools and puts forward relevant solution strategies to provide valuable references for the current practice of English writing teaching in senior high schools in China.
Research on Talent Training Model based on the "Three-Three Integration" Studio Model under the Integration of Industry and Education
Authors: Zhao Xin
Published: June 2024

The Ministry of Industry and Information Technology has released the "14th Five Year Plan for the Development of Intelligent Manufacturing", which pointed out a new direction for design majors to carry out integration of production and education, and cultivate new technology application talents such as digital design and production, information management, etc. Wenzhou Design College cooperates with the government of Ouhai District to settle in Ouhai Fashion Intelligent Manufacturing Design Town, focusing on design majors such as shoes, clothing, furniture, and products. "Three-Three integration" studio model was proposed for cultivating new technology application talents. The model is grounded in industrial development, establishing a "training, research, and application" center tailored to the needs of new technology application talent cultivation. It also creates a practical teaching project system for new technology applications and forms a "three-in-one" teaching team necessary for nurturing new technology application talents.
Analysis of Economic Impact Based on Time Series Model -- Taking the GDP of Two Provinces as an Example
Authors: Yu Zhutong
Published: June 2024

Time series analysis is an important branch of statistics, which is widely used in various fields, as well as in the economic field. In the economic field, a reasonable GDP forecast helps a country to set credible, substantive, and strategic goals. In recent years, Northeast China has seen an obvious decline in the national economic ranking, and the relevant GDP data of Jilin and Heilongjiang provinces are more obvious. This paper is based on time series analysis and support vector regression (SVR) algorithm to build a series model. The model was established by using 60 GDP data of Jilin Province and Heilongjiang Province from 1959 to 2022 with similar economic facts. After calculation and verification, the optimal model of Jilin Province is ARIMA (1, 1,0), the SVR with parameter C of 10 and 2 of 0.007, and the combined model with it as the main model is the optimal model of Heilongjiang Province. The GDP of the two provinces will continue to rise in the next five years, and the GDP of Jilin Province will rise faster, and the GDP gap between the two provinces will gradually narrow.
Improving Translation Quality: A Chinese-English Translation Study on the Profiles of Tourist Attraction in China Based on Cultural Awareness
Authors: Tao Dongxing , Lian Zelei
Published: June 2024

The bilingual profiles of tourist attraction are used ubiquitously and seen everywhere in China. Whether foreign tourists can have an accurate understanding of and keen interest in a particular tourist attraction hinges directly on the quality of translation. However, various translation studies in this area focus on meaning equivalence of language as a symbol, whose function remains at the level of linguistic symbols’ equivalence transformation. This article is mainly concerned with the profiles of tourist attraction enormously adopted in China and their cultural translation from Chinese to English as well as the improved translation output based on data analysis from the perspective of cultural awareness, in an attempt to explore a cultural translation strategy, namely, liberal translation integrated with cultural awareness. Based on examples personally gathered from Mainland China, it is found that the translation of tourist attraction profiles is mainly studied in a linguistically descriptive way, without enunciating the deep culture beneath the surface of linguistic forms. Through detailed analysis of these examples, the study also shows that using liberal translation integrated with cultural awareness in tourism translation is more explicable and intelligible to foreign tourists. The article concludes that cultural awareness must be considered in the liberal translation of tourist attraction profiles so as to communicate clearer and more accurate meaning to the target audience.
Visualisation of Athlete Performance Based on Markov Chains and EWMs
Authors: Yu Senlong , Sun Jianzhe , Hu Yusen
Published: June 2024

The aim of this study is to synthesize the effects of several factors on the performance of sports players, such as skill level, score differences, and psychological factors, and to establish a corresponding evaluation index system. To address this goal, this paper propose a performance evaluation framework to quantitatively assess the state of sports players. In this paper, this paper take the performance scores and winning rate in the game flow as the evaluation indexes, and firstly, this paper measure the performance scores of sports players by calculating nine indexes such as the winning rate of the first serve, the winning rate of the second serve, etc., and use the entropy weighting method to determine the weights of each index. Then, this paper used Markov model to calculate the winning rate of each point, combined with the performance score and the winning rate to establish the regression equation, the results show that the coefficient of determination are close to 1, indicating that the model has a good fitting effect. In this paper, this paper continue to calculate the winning percentage of a player at a certain point of winning this game through Markov chain. This study provides a comprehensive quantitative method for evaluating the performance of sports players, which helps to more accurately determine the players' status and level, and provides a scientific basis for training and competition.
Tunnel excavation based on FLAC3d numerical simulation
Authors: Guo Shihao , Mu Bangbang , Zhao Mingyang , Wang Huiyan
Published: June 2024

A semi-circular arch straight wall tunnel with a span of 10m, a side wall height of 5m and a buried depth of 500m is excavated in a class IV surrounding rock. Assuming that the surrounding rock is an ideal elastoplastic material, the following problems are analyzed by using finite element or finite difference method: the arch roof subsidence and the horizontal convergence of the side wall after tunnel excavation under the action of gravity stress field and the size of the plastic zone in the surrounding rock. If the lateral pressure coefficient is 0.5-3, the effects of structural stress on the subsidence of the tunnel arch, the horizontal convergence of the side wall and the plastic zone are analyzed. If the bolt support is adopted after excavation, the system bolt shall be laid on the tunnel arch and side wall. The bolt shall be a full-length metal bolt, perpendicular to the tunnel wall, with a spacing of 1.5m, a length of 3.0m, and a diameter of 25mm. The thickness of shotcrete is 100mm, the number is C20, and the supporting effect is analyzed.
A Preliminary Study on the Sustainable Development of High-Density Cities
Authors: Xing Lu
Published: June 2024

In the process of development of high-density cities in China, it has become important to promote the intensive and compact use of urban land, explore the efficiency of land resource use, and create a dynamic environment that is mobile, convenient, and pedestrian-friendly. In order to address a series of challenges of high-density urban development, this paper mainly analyzes the high-density urban development patterns in Japan, and Singapore regions. The study concludes that three-dimensional cities and transit-oriented integrated development are the key strategies to achieve this goal. This paper explores trends and sustainable practices in high-density urban development. This paper sorts out the development framework of high-density cities and discusses the construction characteristics and development trends of contemporary high-density three-dimensional cities from the perspectives of land use, green building assessment, traffic management, and public participation. This paper compares the focus of different measures in different regions, as well as the intensive development of public space and vertical greening measures, which have certain reference values for the sustainable development of high-density cities in China.
Analysis of Communication Characteristics and Social Impact of Short Video News
Authors: He Shuxian
Published: June 2024

Due to the rapid development of science and technology, new media are more and more prevalent, and the mode of news dissemination has also undergone great changes. As a new type of news and information dissemination carrier, short video has rapidly become an important way for the public to obtain news and information by virtue of the advantages of concise content, rapid dissemination, multiple visual and sound experience, and strong interactivity. This paper analyzes the impact of short video news on society from the communication characteristics of short video news, in order to provide useful reference for the development of short video news.
Research on the Volatility of China's Stock Market Returns Based on GARCH Model-Taking CSI 300 Index as an Example
Authors: Zuo Guanghui
Published: June 2024

The volatility of yields reflects the degree of risk in the market, and at the same time the volatility of yields is viewed as a measure of information, and high volatility is generally accompanied by large market information shocks. Therefore, it is particularly important to study the volatility of China's stock market returns so as to find out where the problems lie. In this paper, the CSI 300 index is taken as the research object, and a total of 2,671 daily closing prices from 4 January 2013 to 29 December 2023 are taken as the sample, and the GARCH family model is used to analyse this sample data, so as to derive the volatility characteristics of the CSI 300 index and to make static forecasts.
High Temperature Experiments and Properties of Carbon Polyimide Composites
Authors: Fu Hailong , Hu Sen , Liu Jiaqi , Yang Shuo
Published: June 2024

The interlayer shear tests of AC741/M55JB carbon fiber reinforced composite at room temperature, 400℃, 600℃ and 800℃ were carried out.The longitudinal and transverse shear tests of AC741/CCF800 carbon fiber reinforced composite were carried out at room temperature, 400℃, 600℃ and 800℃ dry conditions, as well as the experiments to calculate material property parameters. The results showed that the main failure mode of the sample in the interlayer shear test was stratified damage, and the fracture of the upper surface material was not obvious.This is due to the different types of tests, the interlayer shear pattern is short and small, and it is not easy to occur the fracture damage of the material without stratification.In addition, with the increase of temperature, the interlaminar shear strength also decreased significantly.In crossbar shear test, the maximum in-plane shear stress, maximum in-plane shear strength and in-plane shear modulus of the material gradually decrease with the increase of temperature, thus changing the bearing property of the material.
Vehicle Seat Adjustment System based on Body Image Recognition
Authors: Liang Yuantong , Dong Yandong , Cui Changjun , Wang Yanbing , Mi Boya
Published: June 2024

A vehicle seat adjustment system based on body image recognition is designed. The system uses body image recognition algorithms to calculate the physique parameters of passengers, and automatically adjusts the vehicle seat position. Through on-site testing, the matching rate between the automatically adjusted vehicle seat position and passenger body shape reaches 98.1%, which can effectively improve the convenience and comfort of the vehicle.
The Influence of Perceived Cultural Identity on Consumer Purchase Intention of Ethnic Cultural Products: The Mediating Role of Perceived Value
Authors: Su Jianmei
Published: June 2024

Based on the theory of perceived value, this study focuses on the factors influencing consumer purchase intention of ethnic cultural products, with a particular emphasis on the impact of perceived cultural identity of ethnic cultural products on purchase intention. The study introduces perceived value theory as a mediating variable to examine how perceived cultural identity influences consumer purchase intention of ethnic cultural products through emotional value, social value, and functional value. Through descriptive statistics and bootstrap analysis, this study explores the effects of perceived cultural identity on consumer purchase intention of ethnic cultural products and the mediating role of perceived value. The results of the bootstrap analysis indicate that perceived cultural identity of ethnic cultural products does not directly affect consumer purchase intention, but emotional value, social value, and functional value positively influence consumer purchase intention and mediate the relationship between perceived cultural identity and purchase intention of ethnic cultural products.
Risk Assessment of Banks and Financial Institutions under COVID-19 Crisis
Authors: Yong Qi
Published: June 2024

Systemic risk refers to risks that have a broad and severe impact on the entire financial system or economic system. There are similarities in the definition of systemic risk in China and abroad, which usually refer to threats to the entire financial system or economic system, which can trigger a chain reaction and lead to a systemic collapse. In terms of characteristics and measurements, there may be some differences in views and methods at home and abroad. While foreign countries usually pay more attention to the interconnectedness of financial institutions, market liquidity, macroeconomic factors, etc., China may pay more attention to factors such as the stability of financial markets and the role of state-owned enterprises and governments in the economy. The shortcomings of systemic risk abroad may lie in the fact that the unique circumstances of some characteristic countries or regions are sometimes overlooked, because these factors are not universally applicable on a global scale. Due to its unique environment of large economic size, complex financial system, government intervention, and the influence of state-owned enterprises, the study of systemic risk is particularly important for China. This particular situation may require unique methods and metrics to measure and address risks to ensure the stability and sustainability of China's financial system. It is precisely in view of the lack of foreign research on China's specific context that it is of great significance to study the systemic risk of China's banking industry under China's financial system.
Research on the Coupling Mechanism between Digital Economy Development and Household Energy Transition in China
Authors: Zhang Yi , Chai Jiayue , Jin Haozhe , Li Deyu
Published: June 2024

In order to explore the relationship between the digital economy and China's household green energy structure and utilization efficiency, an empirical test is conducted based on the data of 31 Chinese provinces from 2015 to 2022 using a two-way panel fixed-effects model as well as a coupling model. The results show that the digital economy has a significant positive effect on household green energy structure and utilization efficiency; secondly, this paper focuses on the bi-directional relationship between the two, and finds that the overall coupling situation is good, and the digitalization level and household green energy utilization efficiency in the regions under the "inverted triangle" pattern are highly coupled. The study finds that the overall coupling is good, and the digitalization level and household green energy utilization efficiency in the "inverted triangle" pattern are highly coupled. This study provides a reference for accelerating the national energy transition, boosting China's digital economy in the reverse direction, and providing green and digital kinetic energy for realizing the overall high-quality development of the economy.
A study of property insurance based on ARFLGB-XGBoost modeling
Authors: Chen Guancheng , Qi Xiang , Wang Yuxin , Du Wenzhuo
Published: June 2024

Extreme weather events have become a crisis for property owners and insurance companies, and insurance companies have changed the way they are willing to underwrite policies. The purpose of this report is to develop a comprehensive assessment model for the multiple factors that influence underwriting policies, in the hopes of providing the community with strategies for preserving historic landmarks in the future. In this paper, we first collected data on six climate hazard impact indicators in China and the United States after 2000, then preprocessed the nulls and outliers in the original dataset with linear and exponential fitting, and then evaluated the indicators using the CVM-CRITIC model. In order to analyze how community and demographic factors affect the application of the model, this paper uses the Spearman algorithm to analyze the correlation between community and demographic indicators and climate risk indicators, and uses the ARFLGB-XGBoost model for regression prediction in order to demonstrate the feasibility of the HICD model from different perspectives.
Research on Automatic Pricing and Replenishment Decision of Vegetable Products Based on Machine Learning
Authors: Lin Zitao , Tan Ziying , Ye Hongjie , Sun Man
Published: June 2024

In fresh food supermarkets, due to the short shelf life of vegetable products and the deterioration of products over time, unsold products on the same day cannot be sold the next day. Therefore, supermarkets need to make automatic pricing and replenishment decisions on a daily basis based on historical sales and demand. All product data for this study were provided by the 2023 Higher Education Society Cup National College Student Mathematical Modeling Competition.This study aims to explore the relationship between commodity sales and wholesale prices and pricing using five machine learning methods: neural networks, linear regression, decision tree regression, random forest regression, and XGBOOST regression, in order to predict sales and wholesale prices for the next week. By comparing the performance of five machine learning methods, it was found that the XGBOOST regression prediction model is the most suitable for predicting the daily sales of goods. The linear regression prediction model is the most accurate for predicting the wholesale prices of "chili", "flower and leaf", "edible fungi", "cauliflower", and "eggplant" goods, while the random forest regression prediction model is the most accurate for predicting the wholesale prices of "aquatic rhizome" goods. By constructing a dynamic programming model and using genetic algorithms to solve, automatic pricing and replenishment decisions for various goods within the next week can be obtained.
Study of the Impact of ESG Performance on The Financial Performance of Mining Companies
Authors: Zhang Yiming , Mao Guoyu
Published: June 2024

As a comprehensive evaluation system focusing on corporate environmental responsibility, social responsibility and internal governance, ESG is of great significance for companies to realize sustainable and high-quality development. We select the listed companies in China's mining industry in 2018-2022 as the research sample, and empirically examine the impact of ESG performance on the financial performance of listed mining companies through a fixed-effects model. The results show that the ESG performance of mining enterprises is positively correlated with their financial performance, which is still valid through the robustness test; ESG investment has a heterogeneous impact on the financial performance of mining enterprises of different natures. In view of this, it is suggested that China's listed mining companies should strengthen their investment in ESG and emphasize on social responsibility and corporate governance; meanwhile, it is also suggested that regulators should look for regulatory clues based on the relationship between ESG performance and financial performance of mining companies.
Innovative Application and User Experience of Virtual Reality Technology in Human-Computer Interaction
Authors: Zhang Zilong
Published: June 2024

Virtual Reality (VR) technology has emerged as a transformative force in the realm of Human-computer interaction (HCI), offering novel applications and redefining user experiences. VR games have changed traditional electronic games, providing a human-computer interactive immersive gaming experience. In social media, VR innovative applications allow users to have an immersive conversation through various interactions, giving users a more immersive and real experience. The paper synthesizes recent research findings, highlighting key trends, challenges, and opportunities in the integration of VR into HCI and illustrates the embodiment of immersive experiences while using VR compared to the traditional way. At the same time, the challenges associated with VR technology such as motion sickness, accessibility concerns, ethical considerations, and medical challenges, are also discussed, offering a balanced perspective on the current state of the field. The future development perspective is also mentioned. As technology continues to evolve, we can expect to see even more immersive and interactive experiences that blur the lines between the physical and virtual worlds, offering users new ways to engage with digital content and each other.
Explore the application of machine learning algorithms in predicting stroke
Authors: Zhu Enming
Published: June 2024

Stroke is an acute cerebrovascular disease that seriously endangers human health and life safety. It occurs suddenly and is not easy to cure. It is easy to leave sequelae after the disease, and the age of onset tends to be younger, becoming a major disease that threatens human life and quality of life. With the advent of the era of big data, people can process and analyze the data obtained from a large number of patients with cardiovascular and cerebrovascular diseases. Through Machine Learning (ML), they can master the risk factor indicators leading to stroke, so that they can effectively predict the incidence of stroke, help cardiovascular and cerebrovascular patients carry out preventive treatment as soon as possible, reduce the incidence or the symptoms. This paper introduces several classic ML algorithms such as Decision Tree, Random Forest, Support Vector Machine (SVM), Gaussian Naive Bayesian, k-NN, Logical Regression, etc. In order to explore the accuracy of these algorithms, this study obtained 15,000 patient data from the Kaggle website, including 22 characteristics, and used the above algorithms to predict. Through the evaluation of Accuracy Score indicators, we have a clear understanding of the application of various algorithms in predicting stroke.
Benefits of Fish Oil in Human Health
Authors: Wang Rongsheng
Published: June 2024

This review examines the health impacts of fish oil on the human body. Fish oil contains two omega-3 polyunsaturated fatty acids (PUFAs), which are called eicosapentaenoic acid (EPA) and eicosapentaenoic acid (DHA). It is believed that omega-3 fatty acids have many metabolic functions. Through existing research and studies, the relationships between fish oil consumption and the prevalent diseases are investigated. A review of the literature indicates a general agreement that fish oil could be beneficial in mitigating breast cancer metastasis and reducing prostate cancer risk. In addition, the potential of fish oil in taking care of cardiovascular diseases, stroke, neurological injuries, and inflammatory diseases like rheumatoid arthritis (RA) are examined based on historical observations and contemporary clinical trials. This paper is based on primary and secondary research offering a comprehensive understanding of the benefits of fish oil. The results emphasize the importance of fish oil and advocate for consumption of fish oil on a daily basis.
Rearch on Practice Reflection and Inheritance Path of Zhejiang Kunqu Opera Based on the Perspective of Historical Traceability
Authors: Lv Huangyan , Shen Ye
Published: June 2024

Zhejiang is the region with the most abundant Kunqu schools in China, covering Hangjiahu Kunqu, Ningbo Kunqu, Jinhua Kunqu, Shaoxing Kunqu, Wenzhou Kunqu and many other branches. Wuyi Kunqu and Xinye Kunqu, which are unique to Zhejiang, were listed in the representative projects of provincial intangible cultural heritage in 2007 and 2009 respectively, reflecting their important status in cultural inheritance. However, in the intersection of history and modernity, the inheritance and development of Zhejiang Kunqu Opera is encountering multiple challenges, and an effective inheritance path is urgently needed. This paper aims to deeply analyze the historical context of Zhejiang Kunqu Opera, comprehensively evaluate the status quo of its intangible cultural heritage protection and inheritance, and sort out the social environmental problems and internal development problems, so as to build a healthy and sustainable cultural ecology in Zhejiang Kunqu Opera.
Progress of Research on Probiotics as Dietary Supplements to Support Gut Health in Humans
Authors: Wang Yubing
Published: June 2024

Probiotics are a class of microorganisms that are beneficial to the host's health when ingested in certain amounts. As people strive to enhance their overall health, probiotics have become increasingly common in several fields whose health functions include balancing flora, synthesizing nutrients, enhancing immunity, etc. Moreover, they can be obtained from a wide range of sources, easily cultivated and applied to dairy products, capsules, fruit and vegetable juices as well as other functional beverage, with broad potential markets and applications. This paper analyzes and discusses the concept of probiotics, their health functions, acquisition and cultivation, as well as product safety, the development of species, and the application in the food industry and different populations. It has been found that probiotics have good effects on the human intestine, immunity and other aspects. It has great impact and has huge application prospects in the field of food and beverages. The conclusions and summary of this article provide new ideas for future research and development of probiotics. Findings of this paper provide ideas for the future research and development of various types of probiotic foods.
The Impact of Virtual Reality on Gaming
Authors: Zhong Ziqin
Published: June 2024

Virtual reality (VR) as an advanced technology has had a profound impact on the gaming industry. VR technology provides an immersive experience, allowing players to fully immerse themselves in the gaming environment. With the continuous development and maturation of VR hardware, an increasing number of game developers have begun incorporating VR elements into their works. This paper aims to thoroughly investigate the impact of VR on gaming, exploring its role in game design, user experience, and technological innovation, in order to further integrate the gaming industry with VR technology. The purpose of this study is to further explore the components presented by VR and the lasting impact of this technology on the gaming industry. The paper will analyze the immersion and social impact of games in VR environments, as well as investigate the accessibility and educational implications of games on VR platforms. Through comprehensive exploration of these aspects, this paper aims to provide theoretical support and practical guidance for the integration of the gaming industry with VR technology.
Nd3+-doped Fiber Laser at 1000-1100nm
Authors: Ni Mengchen
Published: June 2024

Fiber optic amplifiers have revolutionized telecommunications by enabling efficient signal amplification over long distances. Their development stems from the increasing demand for high-speed data transmission and the limitations of traditional electronic amplifiers. Fiber amplifiers utilize rare-earth-doped fibers to boost optical signals, offering advantages in bandwidth, reliability, and cost-effectiveness. Nd3+-doped fiber laser is one of the focal topics of current research. Researchers have found advancements in the application of Nd3+-doped fiber laser at wide wavelengths. However, there still exist uncertainties in applying Nd3+-doped fiber laser at 1000-1100nm. Therefore, this paper aims to design a Nd3+-doped fiber laser at 1000-1100nm. The research methodology of this paper is as follows: using numerical simulation via Matlab. Research finds that Nd3+-doped fiber laser at 1000-1100nm is theoretically applicable. The results of this research will promote the development of optical fiber. Through an in-depth exploration of new materials and application technologies, it will bring breakthroughs in optical fiber communication, optical sensing, laser technology, and other fields. This will promote the improvement of laser performance and provide a more reliable and efficient basis for future scientific research and engineering applications.
Analysis and Reflection on the Operation Status of Residential Special Maintenance Funds
Authors: Tian Sijia , Jin Taotao , Ding Shurui
Published: June 2024

Residential special maintenance funds are large in volume and play an important role in safeguarding people's livelihood. In recent years, many problems have been exposed in the operation of maintenance funds: in management, the funds are unpaid, no value-added power, easy to be misappropriated, and insufficient supervision; in use, the funds are inefficiently utilized, and the application for use is cumbersome, and so on. Compared with developed regions at home and abroad, most of the domestic maintenance fund system changes have not touched the root of information asymmetry. Therefore, this paper tries to summarize the current major domestic problems and domestic and international experiences, in order to prepare for the introduction of insurance mechanism and other mature mechanisms into the residential special maintenance fund management system.
Effect of Hydrogen Embrittlement on Dislocation Emission from A Bifurcation Crack Tip in Nano-metallic Materials
Authors: Song Xiaoya , Yu Min
Published: June 2024

A theoretical model was established to investigate the interaction between hydrogen clusters and edge dislocation near bifurcation crack tip in deformed nano-metallic materials. The model’s solution was obtained by using the complex method, and the influence of hydrogen concentration, temperature, Relative crack length, material constants of nano-metallic materials and the dislocation emission angle on the critical stress intensity factor (SIFs) corresponding to the first dislocation emission from the crack tip was investigated through numerical analysis. The results show that dislocations are easy to emit from the crack tip at high hydrogen concentrations. However, under the influence of hydrogen clusters, the high temperature will make dislocation emission more difficult. At the same time, when relative cracks become longer, it becomes more difficult for dislocations to emit from the crack tip. As the angle of dislocation increased, the SIF first decreased and then increased. And as the angle between the main crack and the bifurcation crack continues to increase, the dislocation emission behavior at the tip of the bifurcation crack will be significantly promoted.
Optimizing Advertising Efficacy: Implementing Cost-Effective Multi-Armed Bandit Algorithms
Authors: Xiang Biao
Published: June 2024

This paper proposes a novel approach of multi-armed bandit (MAB) algorithms for online advertising across multiple platforms with no budget limitation. The study adapts the application of two algorithms, Cost-Subsidized Upper Confidence Bound Bandit (CS-UCB) and Cost-aware Cascading Upper Confidence Bound Bandit (CC-UCB), with the objective to maximize the click-through rate (CTR) while considering cost efficiency. Departing from traditional budget-constrained models such as Bandits with Knapsacks (BwK), this study assumes a competitive advertising environment where market share and ad exposure are prioritized over strict budget adherence and cost control. It provides advertisers flexibility in cost control, maximizing CTR within the bounds of acceptable cost concessions, balancing the dual objectives of minimize quality regret and cost regret. The introduction of this novel appraoch extends the application of Multi-Armed Bandit (MAB) algorithms to advertising strategies in highly competitive markets without budget constraints. This study analysises the performance of both CC-UCB and CS-UCB algorithms with empricial research by using real-world data, showing online advertisements bidding strategies from multiple ad platforms in real-time bidding (RTB) system.
Research on the effectiveness of Carbon Market Pilot Policies
Authors: Long Jia , Shen Yi , Liu Yongchang
Published: June 2024

The carbon trading market is widely recognized as a crucial tool in the effort to combat climate change and alleviate greenhouse gas emissions. It is essential to evaluate its effectiveness in implementation. To achieve this aim, we utilized the Differences-in-Differences (DID) method to analyze carbon emission data spanning from 2007 to 2020 across various provinces in China. The primary objective is to empirically investigate the impact of China's carbon emissions trading mechanism on regional carbon emissions. Results show that the implementation of the carbon emissions trading mechanism has played a positive role in reducing carbon emissions. The research identifies a significant positive correlation between the level of economic development (GDP) and foreign direct investment (FDI) with carbon emissions. Additionally, there is a positive association between the volume of proposals addressing environmental issues and carbon emissions. In summary, this study provides valuable insights into the effectiveness of China's carbon emissions trading mechanism, offering important lessons for future policy development and the optimization of the carbon market.
A CNN-Based Crack Analysis Model for Metal Specimens
Authors: Fu Hailong , Yang Shuo , Liu Jiaqi , Hu Sen
Published: June 2024

In the field of engineering, the combination of deep learning and traditional simulation has become a research hotspot. In healthy structure monitoring problems, strain sensors are spaced and spatially arranged to collect strains. However, methods such as strain gauges can only capture single-point strains, and in many cases these more discrete strain information is insufficient to determine the damage of the target. In this paper, we combine the strain field with deep learning methods to propose a novel damage detection method based on strain image inversion to perform crack information of workpieces. The method defines the type and location of cracks on the specimen as labels, a large number of simulated strain images as datasets, and uses CNN networks to train the model. The results show that the obtained crack inversion model for metal specimens can achieve 93.99% accuracy.
PENNSYLVANIAN CONODONTS AND MICROFACIES FROM NORTHEASTERN MEXICO (TAMATÁN GROUP, CIUDAD VICTORIA BLOCK)
Authors: CASAS-PEÑA JUAN MOISÉS , NAVAS-PAREJO PILAR , JENCHEN UWE , RAMÍREZ-FERNÁNDEZ JUAN ALONSO
Published: June 2024

The biostratigraphic analysis of the Paleozoic sedimentary successions in Mexico is crucial for understanding their age, depositional setting, and paleogeographic implications. This study examined conodonts and microfacies of calcareous strata within the Del Monte Formation of the Tamatán Group in northeastern Mexico. Field observations have led to the identification of three units within the Del Monte Formation: Unit 1, characterized by calcareous sandstone, bioclastic limestone, shale, occasional conglomerate, and dolomitized beds; Unit 2, consisting of conglomerate and/or breccia associated with debris flows; and Unit 3 including turbiditic sandstone and shale. Conodonts were only recognized in Unit 1, with such genera as Idiognathoides, Neognathodus, Idiognathodus and less frequently, Streptognathodus, Adetognathus, and Diplognathodus. The faunal associations include Idiognathoides cf. Id. corrugatus Harris & Hollingsworth, 1933, Idiognathoides sulcatus sulcatus Higgins & Bouckaert, 1968, Idiognathoides convexus (Ellison & Graves, 1941), Idiognathoides asiaticus Nigmadganov & Nemyrovskaya, 1992, Neognathodus cf. N. atokaensis Grayson, 1984, Neognathodus aff. bothrops Merrill, 1972, Neognathodus nataliae Alekseev & Gerelzezeg, 2001 (in Alekseev & Goreva 2001), Streptognathodus parvus Dunn, 1966, Idiognathodus incurvus Dunn, 1966, and Idiognathodus aff. delicatus Gunnell, 1931, suggesting Morrowan and Atokan (Pennsylvanian) ages for the dolomitic limestone and grainstone beds. Five types of microfacies (MF) and several marine facies zone (FZ) have been detected: MF1-bioclastic grainstone and MF2-wackestone deposited at the platform margin (FZ 6 and FZ 7), MF3-dolomitized wackestone representing an inner restricted platform (FZ 8), MF4-mudstone from a deeper water zone (FZ 4), and MF5-siliciclastic beds with bioclasts indicating a high-energy barrier associated with a platform margin (FZ 6). The findings confirm a shallow to deep platform and imply a connection among Mexican peri-Gondwanan basins, including the Tamatán Basin, indicating similarities in sedimentary facies and/or depositional environments linked to the Rheic Ocean during the Early to Middle Pennsylvanian.
Autumn cold acclimation and freezing tolerance of three oak species in semi-Mediterranean Zagros forests
Authors: Homayounfar Somayeh , Zolfaghari Roghayeh , Cavender-Bares Jeannine , Fayyaz Payam
Published: June 2024

Aim of study: To identify and compare the early frost resistance mechanisms in three oak species (Quercus brantii, Quercus libani and Quercus infectoria).
Area of study: Zagros forests of Iran.
Material and methods: The physiological and biochemical variables such as chlorophyll fluorescence, relative water content (RWC), electrolyte leakage, and osmotic metabolite content, such as proline, glucose, and potassium of three oak species seedlings with varying altitudinal and latitudinal ranges were measured under various treatments, including cold treatments (4°C: control, -20°C (1 hour) and -20°C (2 hours)) and four levels of hardening steps with decreasing temperature and photoperiod.
Main results: Results showed that decreasing photoperiod and temperature during cold hardening was associated with decreasing Fv/Fm, ΦPSII and electron transport rate, increasing (NPQ) measured from chlorophyll fluorescence, as well as increasing osmotic metabolite content and decline of RWC, except the glucose content decreased in Q. brantii from lower altitudes and south aspect. On the other hand, Q. libanii, which originates from higher altitudes and north aspect showed the strongest cold-resistance and faster developing cold-acclimation capacity using earlier accumulation of osmotic metabolites, diminishing RWC and subsequently lowest EL compared to the other oak species.
Research highlights: The physiological and biochemical responses of oak species differed based on origin and there was a positive relation between osmotic metabolite content, NPQ, altitude, and cold stress resistance. These physiological responses, especially NPQ (as a fast and non-invasive tool) provide a quantitative assessment of the risks associated with autumn freezing in different oak species and ecotypes relevant to conservation and reforestation projects of the Zagros forests under changing climatic conditions.
Le perspectivisme transcendantal, de la critique sceptique à la fondation spéculative (Kant, Maïmon, Fichte)
Authors: Landenne Quentin
Published: June 2024

Face à l’alternative ontologique entre le dualisme cartésien et le monisme spinoziste, Kant ouvre la voie à un dualisme épistémologique basé sur une autodifférenciation de la raison en points de vue de la connaissance. Mais dès lors qu’on en reste à une antinomie théorique indépassable qui ne permet pas de comprendre d’où vient la distinction entre les points de vue, se pose la question de la provenance de cette dualité perspectiviste. Dans la période de gestation, puis de formation systématique de la Doctrine de la science, c’est, d’une part, l’inspiration positive de la Critique de la raison pratique et, d’autre part, l’ébranlement de ses convictions par la critique sceptique de Maïmon qui ont permis à Fichte de refonder spéculativement les oppositions caractéristiques du dualisme épistémologique kantien, de les reconduire génétiquement à leur source unitaire : l’intuition intellectuelle et, ce faisant, de recomposer systématiquement tous les ingrédients conceptuels d’un véritable perspectivisme transcendantal préparé par le criticisme kantien.
Différentes acceptions d’immanence et de transcendance dans la phénoménologie d’Edmund Husserl
Authors: Grohmann Till
Published: June 2024

Cet article considère la question de l’intentionnalité à la lumière de différentes acceptions d’immanence et de transcendance dans la phénoménologie d’Edmund Husserl. Partant d’une analyse de la reprise husserlienne de l’intentionnalité brentanienne, l’auteur s’avance vers le « tournant transcendantal » de la phéno-ménologie en montrant qu’une compréhension proprement phénoménologique de l’intentionnalité est fondamentalement liée à l’interdépendance de différentes acceptions d’immanence et de transcendance. La descente vers les profondeurs temporelles de la constitution transcendantale (la temporalité immanente et pré-immanente) compliquera, par la suite, ces rapports d’interdépendance en dévoilant d’autres acceptions d’immanence et de transcendance.