bluuebunny/crossref_metadata_2025 huggingface dataset:
Apresentação de uma estratégia analítica de Episódios Científicos: estrutura fundamentada nas convergências entre argumentos de Bachelard e Lakatos
Authors: Machado Susete Francieli Ribeiro , Pino José Cláudio Del , Pizzato Michelle Camara , Silva André Luís Silva da , Moura Paulo Rogério Garcez de
Published: June 2024

Este artigo objetiva apresentar uma estratégia de análise de Episódios Científicos fundamentada em uma convergência epistemológica entre os filósofos da Ciência Gaston Bachelard e Imre Lakatos em relação à natureza epistemológica da História da Ciência (HC). Tal constructo teórico apresenta-se através de seus quatro elementos constituintes: natureza dinâmica e evolutiva, natureza dialética, natureza razão objetiva e natureza normatividade, sendo que cada natureza representa o cerne teórico dessa referida estratégia analítica. Nesse sentido, tem-se que cada natureza da convergência explicita critérios que representam características do pensamento científico, as quais podem elucidar aspectos da Natureza da Ciência (NdC) e fomentar articulações entre esta e o Ensino de Ciências, em suas perspectivas didáticas e pedagógicas. Tais critérios propiciam a compreensão e a explicitação de aspectos do pensamento científico que podem ser relevantes ao contexto do ensino e da aprendizagem das ciências, de modo a se valorizar uma imagem mais coerente do pensamento científico em tal contexto de intervenções. Pontua-se que esta estratégia evidencia considerável utilidade para a análise de episódios, sendo relevante para narrativas não só concernentes a produções textuais, como também em narrativas audiovisuais sobre a HC. Nesse sentido, considera-se que a estratégia proposta pode ser aplicada a diversas formas de narrativas da HC e também denota o potencial de possibilitar ao estudante compreensões múltiplas da NdC na HC (no sentido de ressaltar as características da natureza científica em narrativas da HC). Em síntese, defende-se sua relevância tanto para a perspectiva de formação de professores como também para a Educação Básica, considerando as devidas transposições didáticas. Por fim, defende-se que sejam explorados, em trabalhos futuros, o enfoque de discussões entre História e Epistemologia da Ciência e a Didática das Ciências, de maneira a se oportunizar proposições concretas envolvendo estratégias e instrumentos didáticos que possam qualificar significativamente a educação científica e, de modo mais específico, valorizar a necessária coerência entre o Ensino de Ciências e os estudos referentes à NdC nos contextos de sala de aula.
Ozonioterapia: uma prática inovadora na área farmacêutica
Authors: Oliveira Thaís Alves de , Almeida Dhara Lorrany , Macedo Guilherme Borges , Lago Heloiza Dias Lopes , Filha Ana Júlia Andrade Batista , Nunes Poliana Lucena , Ferreira Geisenely Vieira dos Santos , Santana Ianca Gontijo Cavalcante
Published: June 2024

Ozonioterapia é uma prática integrativa complementar que utiliza uma mistura de gás de ozônio (O3) e oxigênio (O2) como princípio ativo. Utilizada desde a primeira guerra mundial para tratamentos de feridas nos soldados alemães, atualmente é usada em infecções bacterianas, tratamentos estéticos (gordura localizada, pele acneica), patologias virais (covid-19) e ortopédicas (lombalgia). A terapia com ozônio possui, regulamentação através do Conselho Federal de Farmácia (CFF) autorizando o farmacêutico praticar ozonioterapia, cumprindo as atribuições pré-estabelecidas, sendo considerada uma área inovadora para os profissionais de farmácia. O objetivo desse trabalho é abordar a atuação farmacêutica na ozonioterapia voltada para estética e PICs, bem como sua história e os riscos e benefícios. Foi realizado uma revisão bibliográfica integrativa acerca da ozonioterapia, nas plataformas Biblioteca Virtual em Saúde (BVS), Literatura Científica e Técnica da América Latina e Caribe (LILACS), Scientific Electronic Library Online (SCIELO), PUBMED e no Google Acadêmico, com artigos publicados entre os anos de 2014 e 2024. Seguindo os critérios de inclusão e exclusão pré estabelecidos. Diversos estudos in vitro ou in vivo mostraram resultados positivos com o uso da ozônioterapia, apresentado melhoras nas patologias tratadas e na qualidade de vida do paciente como o tratamento de feridas em pés diabéticos que apresentaram melhora na cicatrização evitando amputamento, bem como, os potenciais riscos caso seja feita de modo inadequado e desrespeitando a janela terapêutica, também a atuação farmacêutica nessa terapia, com respaldo legal do conselho. Dessa forma, o estudo contribiu para identificar os benefícios e riscos dessa terapia, o ganho social da população como a melhora de vida dos pacientes e a área de atuação inovadora para o profissional de farmácia proporcionando benefícios pessoais e profissionais.
Research on the Effect of Organizational Culture of Chinese Youth Entrepreneurial Enterprises on Innovation Performance - Focusing on the mediating effect of organizational learning
Authors: Liu Simeng
Published: June 2024

In the era of knowledge economy, market competition is constantly changing, and enterprises are developing rapidly in China. With the strong support of the Chinese government for innovation and entrepreneurial activities, the entrepreneurial development situation is optimistic,especially as the main business enterprises to enter the stage of rapid development of youth entrepreneurship.However, while having opportunities, we can also see that the global economic competition environment is complex.Chinese youth entrepreneurs still need to improve their competitiveness and promote the development of innovative technologies. It is necessary for employees to continuously absorb knowledge culture and update their innovative technologies. This paper mainly studies the relationship between organizational culture, organizational learning and innovation performance of young entrepreneurs. 302 questionnaires were collected from Chinese entrepreneurial enterprises, and we uses SPSS and AMOS to analyze organizational culture, organizational learning and innovation performance, and shows the organizational culture affects innovation performance through organizational learning. Finally, in order to make a good organizational culture, enterprises need to continuously update their knowledge,improve the soft power of enterprises, to cope with the changing market environment, enhance the creativity of enterprises and their innovation performance.
The Economic Benefits of Renewable Energy: Impact on Traditional Energy Markets
Authors: Zhang Jingning
Published: June 2024

This paper examines the transformative impact of renewable energy sources such as solar and wind power on global economic growth and traditional energy markets. The research delves into the dual role of renewable energy as both a catalyst for economic development and a disruptive force in traditional energy sectors. Through a comprehensive literature review and analysis, this study highlights the significant job creation and industrial development opportunities presented by renewable energy. It also explores the varied economic impacts across different global regions, emphasizing the distinct challenges and strategies in developed and developing countries. A critical analysis is conducted on how renewable energy influences traditional energy markets, particularly fossil fuels, by altering market dynamics and driving technological innovations. The paper discusses the policy implications of this transition, underscoring the need for balanced strategies that consider the socio-economic impacts on regions reliant on traditional energy sources. The findings reveal that renewable energy can stimulate economic growth by diversifying energy sources, enhancing energy security, and providing access to energy in underserved areas. However, the transition from traditional energy sources to renewable energy presents complex challenges, including the need for significant investment in infrastructure and technology, and the management of intermittent energy supply. The paper concludes that the transition to renewable energy offers substantial economic opportunities while necessitating a comprehensive approach to manage its impact on traditional energy markets. Future research directions are suggested, focusing on the evolving relationship between renewable energy and economic growth in the context of emerging technologies and global market dynamics. The study advocates for collaborative efforts, innovative policies, and international cooperation to ensure a just and equitable energy transition towards a sustainable future.
Research on the Current Situation and Trend of Chinese Overseas Study
Authors: Ma Teng
Published: June 2024

Studying abroad has a very long history in China. According to historical records, the first team of Chinese students studying abroad appeared in about 1872. With the rapid development of international education, China attaches great importance to the development of international education and higher education and spreads the educational concept and style of Chinese higher education around the world. Therefore, more and more Chinese students choose to study abroad to improve their comprehensive ability. This article is mainly from the perspective of a Chinese student who is about to study abroad, from objective aspects such as economic development, school admission conditions... And subjective aspects, such as grades, grades, language proficiency... To study the current situation of overseas students and the future development trend. The purpose of the study is to provide a general reference for other students who want to study abroad and receive some information that they may overlook.
The Strategies of enhancing the blended teaching capabilities of English oral teachers in China
Authors: Wang Ru , Mokhtar Mazlin Mohamed
Published: June 2024

The purpose of this study is to explore the strategies to improve the blended teaching ability of Chinese oral English teachers. Through literature review and empirical research, the importance of blended teaching in oral English teaching is found, and the factors affecting teachers' blended teaching ability are explored. The results show that teacher training, technical support and teaching resources are key factors to improve teacher blended teaching ability. In response to these findings, targeted training and support programs are proposed to help Chinese oral English teachers improve their blended teaching skills, so as to improve students' oral expression skills and communication skills. The exploration of this study is expected to provide a reference for improving the quality of oral English teaching in China.
Research Progress in Methane Storage Using the Metal-Organic Frameworks
Authors: Li Jialin
Published: June 2024

The improvement of social production and social technology in recent times has led to a gradual increase in the worldwide energy demand. In addition to the issue of shortage, burning fossil fuels like traditional oil produces a significant quantity of greenhouse emissions, which contribute to global climate change. In today's world, natural gas is an essential clean energy source. These days, liquefied natural gas (LNG), adsorbed natural gas (ANG), and compressed natural gas (CNG) are the most widely utilized storage techniques. ANG is the most promising method since it offers advantages over other approaches, including room temperature storage, safety, dependability, efficiency, and environmental protection. The most popular adsorbent materials at the moment are metal-organic frameworks (MOFs), which are characterized by a high specific surface area and porosity, a topological structure and pore size that can be adjusted, strong solvent stability, and heat stability. For this reason, the structural traits and techniques of the production of MOFs are first summarized in this article. The methane adsorption process was then clarified. Ultimately, the use of MOFs in methane storage was highlighted to offer some guidance for the advancement of MOFs as adsorbent materials in the future.
Natural Gas Price Predicting Adopting CNN-LSTM Hybrid Neural Network Model
Authors: Fan Xinwei
Published: June 2024

Natural gas price affects a lot in people’s daily expenses. Sudden change in natural gas influences people’s life to some extent. The study experiments and compares the CNN, LSTM, and CNN-LSTM hybrid model’s performance, and applies them to predict and forecast natural gas prices. CNN-LSTM model increases the number of neurons filters and use denser and deeper network structures. From the result, CNN-LSTM showed a significantly better reduction in average loss than a single model. The hybrid model also fitted a closer curve to the natural gas price line. The multivariate hybrid model gives more accurate result than the single model. The prediction method used in this paper can give better insight into evaluating natural gas price trends and provide people with ahead forecast of prices. The paper offers a basic reference to the direction of future improvements of model structures in further study.
QCA Analysis of the Impact of Digital Economy on Export Technological Complexity: A Study Based on the Social and Economic Data of 31 Provinces in China
Authors: Li Zhenming , Guan Xin
Published: June 2024

The digital economy, characterized by informatization and big data as key factors of production, and relying on digital technologies such as the internet and artificial intelligence, represents a new economic paradigm. Its potential to facilitate the transformation and upgrading of manufacturing industries and to enhance the technological complexity of exports necessitates empirical testing. This paper examines the association between factors related to the digital economy and the technological complexity of exports, drawing upon socioeconomic data from 31 provinces and regions in China in 2021, and employing a fuzzy-set qualitative comparative analysis approach. The findings suggest that the digital economy can indeed foster an increase in the technological complexity of exports. Human capital, research and development (R&D) capabilities, digital infrastructure, financial capital, government scale, and market size all exert a positive influence on the technological complexity of exports. The impact configurations of the digital economy on the technological complexity of exports can be classified into two main types: government-market driven R&D innovation, and digital infrastructure-led multifactor influenced. Within the latter category, four subtypes are distinguished: digital infrastructure single-factor dominance, digital infrastructure-led with weak market, digital infrastructure-led with insufficient government strength, and digital infrastructure-led with weak R&D. In areas with a higher level of digital economy, its influence on the technological complexity of exports is notably more positive. The construction of digital infrastructure and R&D capabilities are core conditions affecting whether a region can achieve a high level of technological complexity in exports. Concurrently, attracting human capital, increasing government support, and expanding market size are also factors that cannot be overlooked.
Innovative Fuzzy PID Algorithm: Advancing Quadcopter Control with Adaptive Precision
Authors: Guo Zhenghang
Published: June 2024

The integration of fuzzy logic techniques into PID controllers shows promising advantages in quadcopter control. By incorporating fuzzy logic, the PID controller achieves enhanced adaptability and robustness, resulting in more dynamic and resilient control performance. This is achieved through the automatic adjustment of PID parameters based on real-time system feedback, enabling a control strategy that closely resembles human reasoning. Overall, the combination of fuzzy logic and PID control offers significant potential for improving quadcopter control in various environmental conditions.
Classroom Management and Teaching Effectiveness of Novice Teachers
Authors: You Beibei , Pamela Mantuhac
Published: June 2024

Effective classroom management is a cornerstone of successful teaching, particularly for novice educators who are navigating the complexities of their profession. This study delves into the intricate relationship between classroom management techniques and teaching effectiveness among novice teachers at Dongguan Guangming School. Employing a comparative descriptive quantitative design, survey questionnaires were meticulously administered to high school teachers, offering a comprehensive exploration of variables and discerning changes across study groups. The findings of this study reveal a predominantly positive outlook on classroom management effectiveness among novice teachers. However, amidst the overall optimism, nuanced gaps in classroom management practices emerged, signaling areas ripe for improvement. These identified gaps underscore the necessity for proactive measures to enhance the existing system and fortify novice teachers' capacity to navigate the dynamic landscape of the classroom effectively. In response to these findings, a proposed program for the Development of Novice Teachers' Classroom Management Techniques is outlined. This program seeks to address the identified gaps by providing tailored support and resources to empower novice educators with the skills and strategies needed to navigate classroom dynamics successfully by cultivating a cohort of adept educators capable of fostering engaging and productive learning environments, nurturing a culture of continuous improvement and providing targeted support to educators, the school strives to create an environment conducive to student success and holistic development and empower novice teachers to thrive in their roles and cultivate enriching learning experiences for their students.
Strategic Performance Analysis of POP MART Based on a Balanced Scorecard Model
Authors: Li Dan
Published: June 2024

As a new category that integrates art and creativity, tide play has become a hot consumption phenomenon. Compared with other countries, China's tide play industry has significant advantages in market size, industrial chain development and cultural deposits. As a representative local fashion enterprise, POP MART has its own unique genes in IP creation and supply chain advantages, so it has found a suitable development direction and made ahead on the road to build a comprehensive operation platform covering the whole fashion toy industry chain. This paper will use the four dimensions of the balanced scorecard, namely, financial, customer, internal operations, learning and growth, the bubble mart company strategic performance analysis, and according to the analysis results to predict the company in the process of expanding the business landscape, and give the corresponding Suggestions, for the company to improve profitability, optimize the internal management, enhance the value of the company can provide theoretical support, but also for the same type of other companies performance evaluation to provide reference.
A study of the impact of the digital economy on regional energy efficiency
Authors: Liu Zhuodong
Published: June 2024

The digital economy, emerging as a new form of economic system, holds a crucial position in enhancing energy efficiency. It does so by streamlining the distribution of resources with the help of data and augmenting the flow efficiency of production factors. This paper examines the precise role and mechanism of the digital economy in enhancing energy efficiency from both theoretical and empirical perspectives. This paper utilises panel data from China's provinces and cities over a fifteen-year period, ranging from 2006 to 2021. The fixed-effects model is employed to investigate the precise pathway in which the level of digital economy development influences energy efficiency. The study reveals that the digital economy has a notable impact on enhancing energy efficiency. The analytical mechanism indicates that the digital economy effectively improves energy efficiency by advancing regional marketisation, optimising the industrial structure, and fostering innovation and the adoption of new technologies. Owing to considerable disparity among diverse parts of China, the digital economy seems to have a positive impact on the eastern and central regions, while its influence remains restricted in the western regions. Meanwhile, the areas encompassed by the Yangtze River Economic Belt are the most viable for advancement in energy efficiency through the digital economy. The influence of the digital economy on energy efficiency is markedly inconsistent due to the considerable variation in resource allocation among various regions. The role of the digital economy in enhancing energy efficiency is particularly evident in regions with moderate resource endowment. Thus, this study contends that realisation of the digital economy's capacity requires the government to consider the regional development disparities and resource endowment circumstances. To achieve balanced regional growth and comprehensive progress in energy efficiency, the government must develop tailored policies that promote marketisation, optimise industrial structure, and incentivise technological advancement. Therefore, the implementation of these measures is crucial.
Comprehensive Exploration and Implementation of Multi-Armed Bandit Algorithms Across Various Domains
Authors: Liu Junyang
Published: June 2024

This paper presents a comprehensive analysis of Multi-Armed Bandit (MAB) algorithms, elucidating their decision-making mechanisms in uncertain environments and their widespread applications in fields such as recommendation systems, advertisement delivery, network traffic control, and medical experiment design. Despite the notable successes of MAB algorithms, they encounter significant challenges in practical deployment, including the balance between exploration and exploitation, addressing unfairness, and managing large-scale implementations. An in-depth theoretical and practical examination of MAB algorithms is thus both theoretically and practically vital. This study conducts a meticulous literature review, theoretical analysis, and empirical research to offer insights into the current state and future prospects of MAB algorithms. It begins with a literature review, mapping out the research landscape and developmental trajectory of MAB algorithms. This is followed by a theoretical dissection, delving into the fundamental theories and diverse applications of MAB algorithms, with a focus on their utilization in recommendation systems, vehicle edge computing, and taxi route recommendation systems. Empirical research is then employed to validate proposed solutions and enhancement strategies. The study reinterprets the internal mechanics of MAB algorithms, affirming their effectiveness and superiority across various domains. The final section addresses the practical challenges and issues faced by MAB algorithms, such as fairness concerns and scalability. Corresponding solutions and improvement strategies are suggested, aiming to enhance the efficiency and applicability of MAB algorithms in real-world scenarios.
Typical Inorganic Nanoparticles Used in Cosmetics
Authors: Li Jiayin
Published: June 2024

With the development of nanotechnology, there are more and more nanoparticles (NPs) of various kinds. Due to the new physical and chemical properties of nanoparticles, they are used in various industries, among which the cosmetics industry benefits a lot from NPs. Cosmetics mainly act on the skin, such as lotions, sunscreens, hydrating cosmetics, etc. Inorganic nanomaterials are used in a variety of cosmetics to improve the efficacy of cosmetics due to their unique physical and chemical properties. Most nanoparticles exhibit superior physical reflection or scattering effects, which can help enhance sunscreens while still stabilizing efficacy. There are pros and cons to enhancing the absorption capacity of nanoparticles, and it is necessary to control them within a safe and appropriate application range. This article mainly introduces inorganic nanoparticles such as titanium dioxide, zinc oxide, silicon dioxide, alumina, gold, silver, copper, hydroxyapatite, etc. Specifically, this article analyzes their basic information, their special effects and enhancing effects in related cosmetics, as well as the pros and cons of their absorption capacity and safety issues.
Study on a New Model of Physical Exercise Status of College Students in a University in Xinjiang to Resist Subhealth
Authors: Wang Chuyu , Zhouhe Gege , Liang Ke , Hu Yuhan , Song Shijie
Published: June 2024

Individual health has become the core of realizing a healthy China, and this paper takes students of a university in Xinjiang as an example to explore the effect of physical exercise of college students on warding off subhealth. The study adopts a composite approach, constructs an assessment model based on the three major categories of subhealth and 39 tertiary indexes, and applies FAHP, path analysis and other methods to explore the relationship between physical exercise and subhealth. The results showed that college students' physical fitness generally declined during the epidemic, but their awareness of health increased; most of them were in moderate subhealth; social resources and adaptation had the greatest impact on subhealth, and positive emotions helped improve subhealth; there was a significant correlation between physical exercise and subhealth, especially in the male and female students' physical fitness tests. The study suggests that publicity and education on sub-health should be strengthened, and scientific advice should be provided to prevent sub-health from various aspects, so as to contribute to the realization of "Healthy China".
Utilizing Multi-Armed Bandit Algorithms for Advertising: An In-Depth Case Study on an Online Retail Platform's Advertising Campaign
Authors: Shao Litian
Published: June 2024

In recent years, the advertising sector has increasingly embraced Multi-armed Bandit Algorithms (MAB) for their versatile applications. This article delves into four stochastic MAB algorithms: the Explore-Then-Commit (ETC), the Upper Confidence Bound (UCB), the Thompson-Sampling (TS), and their respective variants, applied in an online shopping platform's advertising campaign to optimize click-through rates. Our findings indicate that each of these algorithms successfully identifies the most effective advertisement. Both the UCB and TS algorithms demonstrate logarithmic regret relative to the time horizon. The ETC algorithm exhibits a delayed onset of logarithmic regret but surprisingly holds up well against the UCB algorithms. Notably, the TS algorithm class outshines the UCB class due to its inherent randomness, offering a more robust performance. Furthermore, two variants, the UCB algorithm with the Mini-max Optimal Strategy in the Stochastic case (MOSS) and the paralleled TS algorithm, show promising results. They not only maintain logarithmic regret but also enhance efficiency, indicating further potential in the UCB and TS algorithm classes for advanced applications.
Improvement of the guardianship system for minors in the light of the current situation of " De Facto Orphans"
Authors: Ye Yuan , Jiayi Yang , Zijian Chen
Published: June 2024

Nowadays, there are a large number of " De Facto Orphans" in our country, who are facing the dilemma of controversial identification, difficulty discovered by the outside world, and the lack of parental responsibility, which reflects that there are still some deficiencies in the current juvenile guardianship system. This paper will seek to improve the guardianship system for minors from three angles: clarifying the definition of "De Facto Orphans", establishing a parental authority system, and improving the guardianship supervision system.
Optimizing Parameters and Applications of Femtosecond Laser Technology in Fiber Bragg Grating Manufacture
Authors: Han Zhaoxu
Published: June 2024

Fiber Bragg Grating (FBG) sensors have garnered extensive attention for their pivotal role in diverse domains, including strain, pressure, hydroacoustics, and temperature monitoring, especially within the ambit of the Internet of Things (IoT). The femtosecond laser point-by-point fabrication methodology stands out in this context, primarily for its flexibility in altering FBG periods through precise control of the fiber’s movement velocity. This adaptability facilitates the creation of FBGs with varied periodicities, significantly broadening their application spectrum. A notable aspect of FBG sensors is their sensitivity to temperature variations, which manifest as changes in both the grating pitch and the refractive index of the FBG. These alterations consequently induce shifts in the FBG’s reflection and transmission spectra. Specifically, temperature fluctuations lead to a discernible drift in the central wavelength of the light reflected by the Bragg grating. This wavelength drift is linearly proportional to the temperature change, rendering it a reliable metric for assessing both the magnitude and rate of temperature variations. Experimental framework was centered around the femtosecond laser point-by-point fabrication technique for FBG creation. Within this setup, we delved into four critical factors influencing the spectral quality of the FBGs: grating length, periodicity, laser energy, and grating position. By meticulously adjusting these parameters, we aimed to optimize the performance and applicability of FBG sensors in real-world IoT scenarios.
Exploring Factors Affecting Store Operating Profit Using Multiple Regression
Authors: Sun Jiaqian
Published: June 2024

The aim of this paper is to increase the profit of the company more efficiently. With the continuous development of science and technology and big data at this stage, the degree of influence of Marketing Spend, Administration, Transport and Area factors on Profit is quantified through the use of multiple linear regression models. This article is a linear regression analysis using the operational data collected from Kaggle for a company's 50 shops in 3 regions. Through the analysis, the model has a good fit and significant linear relationship, which can predict the future profit of the enterprise. At the same time, the model can also guide the enterprise how to improve the operating profit more efficiently, which has a certain guiding effect on the development of business operations. Based on the results, it can be seen that Marketing Spend has the greatest impact on the enterprise's profit.
Impact of Human Resource Management on The Implementation of Physical Education Program in Selected Universities in Guizhou Province: Basis for Inputs to Policy Reformulation
Authors: Yang Lin
Published: June 2024

This study investigated the impact of human resource management (HRM) strategies on the implementation of Physical Education Programs (PEPs) in selected universities within Guizhou Province, China. Employing a descriptive-correlational research design, data were gathered through self-made questionnaires assessing the implementation of HRM practices and PEPs. The study involved 310 physical education teachers from Guizhou Medical University, Guizhou University, and Guizhou Normal University. Findings revealed moderate to high levels of HRM implementation across various aspects, with room for improvement in employee satisfaction and compensation. Similarly, PEP implementation demonstrated moderate levels across key areas, suggesting opportunities for enhancement. Significant correlations were observed between certain HRM practices, such as performance evaluation, and aspects of PEP implementation, notably curriculum integration. However, other HRM factors showed less substantial impacts on PEP implementation. Based on these findings, recommendations were proposed to optimize HRM practices and improve PEP effectiveness. These included tailored professional development initiatives, revised performance evaluation practices, prioritization of employee satisfaction, enhancement of compensation and benefits, promotion of academic freedom, adoption of a holistic HRM approach, facilitation of collaborative partnerships, and establishment of a culture of continuous improvement and evaluation.
Research on Methods and Development Trends of Mobile Robots in Obstacle Avoidance
Authors: Wang Xida
Published: June 2024

In 2010s, the scale of mobile robots in the market is increasingly developing. Nowadays, China is becoming one of the most active regions in the world for the development of machine vision. Computer vision is the most crucial part of obstacle avoidance in mobile robots. Therefore, the research topic of this article is the intelligent obstacle avoidance methods and development trends of mobile robots based on machine vision. The research method of this article is as follows: Firstly, the working principle of machine vision, the application process of machine vision in mobile robot obstacle avoidance, and the development trend of machine vision are introduced. Secondly, the development and shortcomings of machine vision were discussed, and feasible solutions were proposed to address the potential problems in current machine vision. Finally, this article looks forward to the future research directions of machine vision and predicts that machine vision technology will become one of the most powerful detection technologies in science and technology. After this study, it was found that the machine vision of mobile robots has shortcomings in obstacle avoidance, such as difficulty in identifying multiple obstacles and limitations in processing large-scale data. Therefore, it is believed that machine vision still has room for development.
Optimization Design of Automotive Rear Tails for Enhancing the Downforce and Grip Effect during High Speed
Authors: Ji Beichen
Published: June 2024

Vehicle motion control and safety have always been key research directions in the field of automotive engineering. However, the traditional rear tail design has limitations in providing downforce, which cannot adequately meet the needs of high-speed driving. In this study, a computational fluid dynamics (CFD) simulation technique combined with an optimization algorithm was used to systematically investigate the influence of rear tail shape and layout on vehicle downforce. By introducing a parametric rear fin design into the CFD model and applying a multi-objective optimization algorithm, various design options can be systematically explored to improve the downforce performance. It was found that with the optimized tail fin design, the car was able to achieve higher downforce and provide better grip and stability during high speed. Specifically, downforce gains of up to 20% were observed, leading to significant improvements in vehicle handling and stability compared to conventional designs. The results of this research are not only of great significance to the field of automotive engineering but also of substantial help to improve the motion performance and safety of vehicles. optimizing the rear tail design can effectively improve the grip of the car in the process of high speed, provide a safer and more stable driving experience for the driver, and is also expected to play an important role in motorsport and other fields.
Pruning-based Deep Reinforcement Learning for Task Offloading in End-Edge-Cloud Collaborative Mobile Edge Computing
Authors: Yang Hao , Zhang Huifu , Luo Fan , Liu Fangjun , Chen Hao
Published: June 2024

The task offloading of Mobile Edge Computing (MEC) brings infinite possibilities to compute-intensive and latency-sensitive mobile applications. However, the dynamic nature of MEC systems and complex dependencies between computational tasks pose significant challenges to offloading decisions. In this paper, we address the task offloading problem of end-edge-cloud collaborative computing in MEC with task dependencies. Initially, we model inter-task dependencies using Directed Acyclic Graphs (DAG) and propose a task priority queue model to transform the DAG task model into a sequential queue model for easier task scheduling. Subsequently, we formulate a resource-constrained minimization problem for execution delay and energy consumption optimization. To tackle this problem, we introduce a Pruning-based Deep Reinforcement Learning algorithm (PR-DRL) to learn the intricate dependencies between MEC systems and subtasks for optimal offloading decisions. Specifically, PR-DRL incorporates a pruning function that enables the agent to focus on high-probability actions during training while filtering out low-probability actions, thereby achieving rapid algorithm convergence. Simulation results demonstrate that the proposed PR-DRL method outperforms traditional Deep Q Network methods both in terms of convergence speed and offloading performance, surpassing six other baseline task offloading methods.
Design of the 1650-1700nm U band doped fiber laser
Authors: Chen Sitong , Zhang Zhaofeng
Published: June 2024

Increasing the power of thulium-doped fiber lasers is an important direction for the future development of fiber lasers. Thulium ions exhibit excellent optical properties in the U-band, making them valuable for research. This paper has established a modular design process for fiber lasers, investigating the energy level system of Thulium ions, electron transition processes, power propagation equations, pump power threshold, laser output power, and Bragg grating reflectance for specific wavelength photons. The reflectance of the front and rear cavity mirrors and Bragg grating was also redesigned. Finally, by establishing a physical model and employing numerical simulations, the relationship between laser onset power and pump light input power was determined: when the pump light input power reaches 10.1W, a population inversion occurs, and the fiber laser begins to generate laser output power. The laser output power linearly increases with the increase in pump light input power. When the pump light input power reaches 100W, the laser output power reaches its maximum value of 14.17W. This provides valuable data support for the laboratory preparation of 1650-1700nm thulium-doped fiber lasers.
Research on control of influencing factors of quality and safety of agricultural products on B2C e-commerce platform
Authors: Li Lijuan
Published: June 2024

In recent years, the quality and safety issues of agricultural products on B2C e-commerce platforms in China have become a new threat and concern, drawing widespread attention from the government and the public. This article aims to conduct an in-depth study on the factors influencing the quality and safety of agricultural products sold on B2C e-commerce platforms. First, various indicators are selected to construct a comprehensive indicator system for the factors affecting the quality and safety of agricultural products on B2C e-commerce platforms. Subsequently, factor analysis is applied to the 18 selected indicators using SPSS statistical software to derive a model for the influencing factors of quality and safety for agricultural products on B2C e-commerce platforms. Finally, based on the empirical analysis results, a comprehensive examination is conducted to assess the impact of each factor on the quality and safety of agricultural products on B2C e-commerce platforms. The empirical results indicate that the four major influencing factors, namely, production source, processing and manufacturing, warehousing and transportation, and regulatory measures, all play crucial roles in influencing the quality and safety of agricultural products on B2C e-commerce platforms.
Study on Strategies for Improving Piano Education for Preschool Children with Parental Participation
Authors: Ge Yier
Published: June 2024

This study focuses on exploring the key role of parental involvement in children's education, especially in the process of piano learning, in the field of music education, in order to provide corresponding improvement strategies. This study adopts a mixed method research design, combining quantitative and qualitative research methods. First of all, the basic information of parents, their participation in children's piano learning and students' piano learning level were collected through a questionnaire survey. SPSS software was used for frequency analysis, descriptive statistical analysis and difference analysis to explore the relationship between parents' characteristics and participation level and the influence of participation level on students' piano learning level. Secondly, through in-depth interviews with school administrators, qualitative data on the challenges faced by parents involved in children's piano learning were obtained, and targeted solutions were proposed on this basis. The quantitative results show that parents' gender, age, education level and occupation are closely related to their participation in their children's piano learning, and parents' participation is significantly positively correlated with students' piano learning level. The qualitative analysis reveals the challenges encountered by parents in the process of participation, such as time and resource limitations, cognitive level and skills deficiencies, and puts forward some coping strategies, such as providing educational resources and strengthening communication and cooperation between family and school. Finally, this study emphasizes the positive role played by parents in children's piano learning, that is, by creating a good learning environment, emotional support and strengthening family ties, it effectively promotes the development of children's musical ability and the improvement of comprehensive quality. Therefore, it is suggested that school administrators actively advocate and promote parents to effectively participate in their children's piano learning, and form a good mechanism of home-school cooperation and co-education to help children develop comprehensively.
Advanced Plastic Electronics in Smart Wearable Devices
Authors: Zhang Jiaqi
Published: June 2024

The swift advancement of Internet technology has catalyzed the proliferation of wearable intelligent devices. These devices seamlessly integrate technology into everyday life, facilitating instantaneous health surveillance. These devices, leveraging plastic electronics, offer unprecedented flexibility and user interface accessibility, marking a significant shift from traditional mobile technologies. This paper explores the advancements in wearable electronics, focusing on plastic substrates' role in enhancing device functionality and user comfort. It highlights key materials like spray-on metallic plastic and polyethylene terephthalate (PET), which contribute to the development of lightweight, flexible electronic components for health monitoring applications. Technological progress in smart wearables, including dual strain-temperature sensors and self-compensating temperature sensors, demonstrates their potential in the health and rehabilitation sectors. The paper examines wearable applications in continuous body temperature monitoring, crucial for early disease detection and managing cardiovascular health. It concludes by addressing the challenges in wearable technology, emphasizing the integration of devices into daily life and the exploration of new applications to improve health and convenience.
The Status of School Learning Management and the Students’ Satisfaction on Online Learning in Selected University in Jiangsu Province
Authors: Ji Meizhen
Published: June 2024

This study intends to determine the status of school learning management and the satisfaction of students in the online learning in China. Now that the world is continuously healing and being under control from the virus, many schools initiated the return to the face- to- face encounter of teachers and students. However, students are still finding themselves more familiar with learning through live streams or videos. Educators are also looking for ways to engage their students online with the new digital shift in traditional classes, thus driving the fundamental mind shift to e-Learning. This study focuses on how the school is managing the online learning. Specifically, this study will determine if there is a significant difference in the assessment of teachers on the status of school learning management on online learning in terms: online materials, online assessment and feedbacks, online interactions and related online supports. The study will also describe the satisfaction of students on online learning in terms of: perceived ease of use, perceived usefulness, computer self- efficacy, and satisfaction. The findings of the study will serve as the basis for proposing school management program to improve the delivery of online learning.
Geological hazard susceptibility assessment based on different mathematical statistical models: a case study of Zhejiang province
Authors: Wang Zihang , Tong Jingwei , Niu Yinkai , Zheng Xudong
Published: June 2024

Geological disaster is a great threat to people's life and property safety, how to predict it reliably and divide it according to the susceptibility of geological disaster is of great significance. Based on the historical collapse data of Zhejiang Province, this paper selects the evaluation indexes of water flow intensity index (SPI), terrain wetness index (TWI), land use type, slope aspect, slope, annual rainfall, river network density, elevation, road density, plane curvature, normalized difference vegetation index (NDVI) and other factors. Based on the frequency ratio model (FR), random forest model (RF) and logistic regression model (LR), the susceptibility zoning of geological disasters in Zhejiang Province is carried out. The results show that: (1) The high and extremely high risk areas in Zhejiang province are mainly distributed near the river system and road network in the high altitude area; (2) In terms of the evaluation effect of comprehensive PR curve, the random forest model has a better evaluation effect than other models; (3) With the increase of the vulnerability level, the proportion of disasters under each model zoning is gradually increasing, indicating that the zoning effect of each model is good; 4) Quzhou city, Jinhua City, Wenzhou city and Shaoxing city in Zhejiang Province account for a large proportion of the high susceptibility areas and above. The results of vulnerability zoning can provide reference for geological hazard prevention and land planning in Zhejiang province.
Analysis of China Eastern Airlines Financial Statements Based on Harvard Analysis Framework
Authors: Cao Jinyi
Published: June 2024

The financial analysis method adopted in this paper refers to the analysis method in the "Harvard Analytical Framework System". Through the business strategy of the enterprise, the accounting policies adopted, the analysis of the company's finances and the analysis of the company's prospects, etc. The business situation, financial situation and development situation were analyzed and elaborated.This paper takes China Eastern Airlines' financial statements as an example, combines the characteristics of the air transport industry, analyzes the company's financial status, operating results and cash flow, and systematically evaluates the company's past and present operating results and financial status, and judges the company accordingly investment value.