bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise e reflexões sobre os fatores de risco associados ao parto cesárea: uma revisão integrativa da literatura
Authors: Medeiros Rodolfo de Oliveira , Mascarin Aline Maria Noli , Bueno Carlos Eduardo , Zutin Tereza Laís Meneggucci , Donadai Kelly Cristina Encide de Vasconcelos , Santos Juliana Pascon dos , Gonçalves Eleny Rosa Guimarães , Xavier Elídia Fabiana de Souza , Seixas Laura Elisa Vieira de Carvalho , Gianini Silvia Helena Soares , Medeiros Thais Erika Giaxa , Marin Nádia Sanches , Orso Lívia Faria , Campoy Laura Terenciani
Published: September 2024

Introdução: No cenário da obstetrícia, o número de mães que optam pelo parto cesárea tem aumentado significativamente, porém, muitas não conhecem as vantagens, desvantagens e possíveis riscos relacionados à esse procedimento. Objetivo: identificar, a partir de evidências literárias, os riscos relacionados ao procedimento de parto cesárea para a mãe e para o bebê. Método: Revisão Integrativa da Literatura, realizada nas seguintes bases de dados: MEdLINE, LILACS e SciELO. Adotou-se como critério de inclusão estudos primários, publicados no recorte temporal entre 2016 e 2024, nos idiomas inglês, português e espanhol. Como critério de exclusão, optou-se por estudos secundários, teses, dissertações e relatos de opiniões. Resultados e discussão: Foram selecionados 19 artigos, dos quais emergiram duas categorias analíticas: O parto cesárea e os fatores de risco relacionados à mãe e Desvantagens e riscos do parto cesárea para o recém-nascido. A literatura trouxe que, em relação à mãe, os principais riscos são os relacionados ao procedimento de anestesia, traumas obstétricos, hiterectomia e o óbito. Em relação ao bebê, os problemas respiratórios foram os riscos apontados como os mais frequentes pela literatura, além do aumento dos indicadores de internação em Unidades de Terapia Intensiva Neonatal. Considerações finais: Há a necessidade de se ampliar as informações relacionadas às vias de parto, através de estudos, pesquisas ou programas, de forma que contemple o maior número de mulheres. Além disso, há também a necessidade de participação ativa das diferentes esferas políticas e governamentais que administram o sistema de saúde no país.
Brief Description of the Performance of Tertiary Macau in the PISA 2022 Assessment
Authors: Zhong Wanying
Published: September 2024

This article focuses on the performance of the Macao Special Administrative Region in the Programme for International Student Assessment 2022 (PISA 2022) and examines its implications for education curriculum reform. The PISA programme provides an important reference for global education policy by assessing the reading, maths and science literacy of 15-year-old students. Macau's performance exceeds the OECD average in maths and science, but there is still room for improvement in reading. The strengths of the Macao education system were analysed, such as the sustained investment and achievements in the teaching of mathematics and the remarkable progress in science education. At the same time, the challenges of educational equity are pointed out, especially in terms of the impact of socio-economic status on students' performance. The impact of the COVID-19 epidemic on the education system has also prompted the need for the Macao education system to integrate digital technologies and innovative teaching methods more effectively. By comparing the education system with that of Singapore, the East Asian region and some European countries, this paper proposes strategies for Macao to enhance the quality of education and promote the all-round development of students. Recommendations include strengthening STEM education, enhancing teacher professional development, improving educational equity, and integrating technology and continuing education. The impact of PISA 2022 on Macau's education system is summarised and directions for future education reforms are proposed to ensure that Macau remains a leader in the global education arena and provides better educational opportunities and resources for students.
Design and Implementation of Interdisciplinary Thematic Learning in Middle School Art Supported by Digital Technology
Authors: Fu Hanmeng
Published: September 2024

Digital technology is helpful to the interdisciplinary subject learning and practice. In junior high school art "painting road of eternal life" project learning process, "how to better save and show paintings" as the essential problem, "painting the road of eternal life", relying on art, history and information technology learning field, fusion of multidisciplinary methods and means, design data investigation, analysis, experimental exploration, creative practice, materialized achievements and display interdisciplinary series of learning activities, realize high order thinking package low order thinking, guide students in the checking, iteration gradually towards innovation.
Analysis of Pathogen Detection Data in 898 Pediatric Patients Hospitalized with Community-Acquired Pneumonia
Authors: Li Leyu , Zhang Hui , Hu Jin , Lu Yingjie , Zhao Xiaoyan , Sa Rina , Yao Yao , Bao Langshan , Cao Jing , Li Ming , Zeng Huan , Wang Lei
Published: September 2024

Introduction: The prevalence of community-acquired pneumonia (CAP) in pediatric patients has seen significant changes following the lifting of COVID-19 restrictions. This study examines the epidemiology and pathogen detection in children hospitalized with CAP at Beijing New Century Children's Hospital throughout 2023. Objective: To analyze the pathogen detection rates and distribution characteristics among 898 pediatric CAP patients admitted during 2023, focusing on age-related and seasonal variations. Methods: This retrospective study included 898 pediatric patients diagnosed with CAP between January 1 and December 31, 2023. Respiratory pathogen detection was performed using a combination of antigen detection kits, nucleic acid testing, and bacterial culture. The data were analyzed for pathogen distribution across different age groups and seasons. Results: Of the 898 CAP cases, pathogens were detected in 703 cases (78.3%). Mycoplasma pneumoniae was the most frequently identified pathogen (44.1%), with detection rates increasing significantly with age, particularly in school-aged children. Viral pathogens were detected in 42.7% of cases, with Respiratory Syncytial Virus (32.4%) being the most prevalent. Bacterial pathogens were identified in 49.5% of cases, with Streptococcus pneumoniae (34.1%) and Haemophilus influenzae (33.0%) being the most common. Mixed infections were observed in 64.4% of cases, with a higher prevalence in older children and during the autumn and winter seasons. Conclusions: The study highlights significant age and seasonal variations in pathogen distribution among pediatric CAP patients. Mycoplasma pneumoniae was more common in older children and during autumn, while bacterial infections peaked in winter. The findings emphasize the need for age and season-specific strategies in managing pediatric CAP and suggest that comprehensive diagnostic approaches are crucial to accurately identify the causative pathogens.
MUTI-YOLOV8: YOLOV8-based target detection algorithm for stacked objects
Authors: Xu Yuchen , Xu Yun , Li Qi , Gao Liang , Wang Lang
Published: September 2024

In order to solve the problems of low accuracy, missed detection and false detection of stacked objects in the existing object detection, an improved algorithm model based on YOLOV8 was proposed. The model introduces Deformable Convolutiona Networks. The Shueffle Attention mechanism is added to reduce the complexity of the model and improve the ability to express features. The Dysample upsampling module is introduced to replace the original Upsample module, which reduces the requirement of computing resources. The improved model is trained on the stacked object dataset, and compared with the original model, the accuracy of the improved network model is improved by 1.7%, and the accuracy of mAP50-95 is increased by 1%. It provides a theoretical reference for the study of object detection of stacked objects.
Policy Assessment and Path Choice of Digital Economy Cooperation between China and Japan
Authors: Fang Zhe , Li Jianfeng , Song Rong , Chen Yuhui , Fan Yunting
Published: September 2024

The digital economy is an important driving force for economic growth and transformation in countries around the world, and both China and Japan have introduced a large number of strategies and policies related to the digital economy at the national level. Although there is a good foundation for cooperation between China and Japan, and many successful cases of cooperation have been formed in the field of digital economy by virtue of their respective Advantages, there still have several challenges to China-Japan bilateral cooperation in the digital economy, such as the instability of bilateral political relations, the lack of a unified system of rules for international digital governance, and social difficulties, aging and childlessness for example. If China and Japan can correctly understand and deal with their differences, seek common ground while reserving differences, enhance their Advantages and avoid their Disadvantage, and take the RCEP as an opportunity to build unified and higher-level digital economic governance rules, their digital economic cooperation will achieve greater results.
Research on the Effect of Successful Business People on the Society
Authors: Zheng Hanwen
Published: September 2024

It is known that successful business people play a crucial role in wealth creation and expenditure. This paper mainly discussed whether successful business people benefit others when making their money, when spending it, both, or neither? This paper seeks to shed light on these questions, exploring the complex relationship between wealth accumulation and societal benefits. This paper examines the extent to which wealthy individuals benefit others during the process of wealth creation and expenditure, considering both top-down and bottom-up economic perspectives. By utilizing the true situation using Top-Down and Bottom-Up perspective, this paper draws the conclusion that: On the one hand, when the successful business people have social responsibility, they use the method of making money to provide people with employment and re-employment, they have great love and universal love, and they shoulder the responsibility of the savior. On the other hand, when successful businessmen have more and more money, it will lead to the wealth of the society in the hands of a few people, affecting the reasonable development of politics and economy.
LSTM-based drive power matching and its economic analysis
Authors: Yao Jiaqi
Published: September 2024

The correlation coefficients of computerised well mining data and motor power, selecting indicators with high correlation as input data, predicting the minimum and maximum power of the unit based on LSTM neural network, and giving the template of drive system matching according to the theory of drive system matching technology formed for different models.
The Role of Guqin Playing and Singing Ancient Poetry on Traditional Culture
Authors: Zhao Jiejing , Li Yan
Published: September 2024

Singing ancient poems with guqin is an important part of Chinese traditional culture, which has a long history and unique artistic charm. This paper firstly gives an overview of guqin playing and singing ancient poems, introduces the origin and development of guqin and ancient poems, as well as the formation process of guqin playing and singing ancient poems. Then, it analyzes the artistic characteristics of guqin playing and singing ancient poems, including the characteristics of guqin music and the language characteristics of ancient poems, as well as the artistic expression of playing and singing. Then, the role of guqin playing and singing ancient poems on the inheritance of traditional culture is discussed, including the integration of music and literature, the inheritance of traditional music culture and the inheritance of traditional aesthetic concepts. In addition, the effects of guqin playing and singing ancient poems on traditional culture, such as enhancing cultural literacy, cultivating moral sentiments and promoting cultural exchanges, are also studied. Finally, through case studies, famous guqin playing and singing ancient poems are analyzed, and the artistic achievements of representative performers are introduced. The research of this paper is of great significance to the in-depth understanding of the artistic value and cultural significance of guqin playing and singing ancient poems.
On the Role of Group Competition Mechanism in International Chinese Classroom
Authors: Gao Tong
Published: September 2024

International Chinese language education is a field that has attracted much attention in recent years. Under the background of China's increasing international influence, more and more people realize the importance of learning Chinese. However, with the development of international Chinese education, we should also pay attention to the research of international Chinese education classroom strategy. Based on the observation of online open courses, with group competition mechanism as the theoretical basis, take the class “Whose bag is this” in the first grade of a primary school in the Philippines as an example, observed the classroom group competition mechanism, this paper mainly introduces the competition mechanism into the Chinese language teaching classroom advantages and disadvantages, and further put forward the principles and methods of classroom competition mechanism. The aim is to provide new teaching ideas for Chinese teachers and facilitate and improve their teaching efficiency and quality.
Innovative Approaches to Preserving Intangible Cultural Heritage through AI-Driven Interactive Experiences
Authors: Bi Huijuan , Nasir Nadia Bt Mohd
Published: September 2024

The preservation of intangible cultural heritage (ICH) is critically challenged by globalization and the rapid evolution of technology. This paper explores innovative strategies for safeguarding ICH using AI-driven interactive experiences, leveraging cutting-edge technologies such as virtual reality (VR), machine learning (ML), and natural language processing (NLP). These technologies not only enable the creation of immersive and personalized experiences that engage users emotionally but also serve to rejuvenate and sustain traditional cultural practices. By detailing specific applications in real-world settings, this study illustrates the transformative potential of AI in making cultural heritage dynamically accessible and engaging. Furthermore, it discusses the broader implications of this technological intervention, emphasizing how AI can contribute to cultural diversity and foster global appreciation of heritage in a sustainable manner. The findings underscore the crucial role AI can play in preserving the rich tapestry of global cultural heritage for future generations.
Research on the Investment Portfolio in Technology and Consumer Goods Industries
Authors: Dai Bin
Published: September 2024

This research investigates investment portfolios in the U.S. technology and consumer goods sectors, employing Modern Portfolio Theory (MPT) and the Markowitz Model to analyze and compare their risk-return profiles. The study highlights that the technology sector demonstrates a high-risk and high-return profile, making it attractive for risk-seeking investors aiming for significant gains amidst market volatility. In contrast, the consumer goods sector, with lower volatility, appeals to risk-averse investors who prefer stable and predictable returns. Key findings strongly emphasize the importance of aligning investment choices with individual investor preferences, illustrating how specific industry characteristics can influence investment strategies. The research suggests that investment success is considerably enhanced when portfolios are tailored to match individual risk tolerance and investment goals. This strategic approach provides a robust framework for guiding investors to make informed decisions that reflect their personal preferences and financial objectives, thereby helping them navigate market complexities and enhance portfolio performance.
Nondeterministic Features in Deep neural network design, training and inference
Authors: Antonion Jackob , Wang Annie , Raissi Maziar , Joshie Ribana
Published: September 2024

Neural networks are increasingly integral to scientific modeling and a wide range of real-world applications. However, standard neural networks often lack reliable certainty and confidence, and can be poorly calibrated, leading to nondeterministic results. To address these challenges, researchers have focused on understanding and quantifying uncertainty in neural network predictions. This work offers a comprehensive discussion of uncertainty estimation in neural networks, discussing recent advances, current challenges, and future research opportunities. This work explains key sources of uncertainty, challenges from model uncertainty and irreducible data uncertainty. We explore various methods for modeling these uncertainties, such as deterministic neural networks, Bayesian neural networks (BNNs), ensembles, and test-time data augmentation approaches. Additionally, the paper provides practical examples from fields like medical data analysis, robotics, and autonomous driving, illustrating the challenges and requirements associated with uncertainty in real-world applications. We also examine the limitations of current uncertainty quantification methods in safety-critical applications, and provide an outlook on future developments aimed at broader adoption of these methods in diverse domains. This paper serves as a valuable resource for both newcomers and those experienced in the field of uncertainty estimation in neural networks.
Teaching Reform of RFID Principles and Application Course with Information Industry Integration for System Capability Cultivation
Authors: Zhang Xiaochen , Bai Bingxin
Published: September 2024

The rapid development of the domestic information industry ecosystem has put forward higher requirements for the quality of computer talent training in colleges and universities. In response to the current issues of outdated course content and lagging teaching strategies in RFID principles and application courses at applied undergraduate institutions, measures have been proposed to promote the cultivation of talent for the autonomous and controllable RFID industry, taking the system capability as the main line. Under the guidance of the engineering education certification standards, based on the Tyler curriculum development model, domestic RFID platforms are introduced into the classroom. Through innovative reforms of the objectives, content, methods, and evaluation system of the RFID principles and application courses, the integration into the information industry ecosystem is actively promoted, enhancing the effective integration of the education chain, industry chain, innovation chain, and talent chain, contributing to the national strategy of independent control.
Fault analysis of oil-immersed transformer based on digital twin technology
Authors: Zhu Jingpeng , Xu Yankai , Peng Cheng , Zhao Shuqi
Published: September 2024

Oil-immersed transformer is one of the important equipment to support the safe and stable operation of power system. At the same time, in the process of transformer operation, transformer failure is inevitable, this kind of failure belongs to multiple latent faults, which seriously endangers the safe operation of the transformer. Therefore, the maintenance of the transformer has played a crucial role. A fault detection method based on digital twin model is proposed to solve the problem that the internal dynamic characteristics of oil-immersed transformer are difficult to extract, and the fault detection error is large due to noise interference. The dynamic model of oil-immersed transformer is constructed, the main cause of failure is analysed, the failure time of internal insulator is taken as a linear index, and the linear correlation between failure probability and failure time is solved by Weibull distribution function. The fitting function between transformer fault residence time, operating days and fault probability variance is established, and the fitting value obtained is used as the initial data reference of the fault detection model. The digital twin model is used to establish the dynamic fault probability calculation function, and the on-site data is substituted to calculate the fault detection threshold, and then the data is compared to complete the detection.
Study on Ethnic Minority College Entrance Examination Extra Points Policies under the Perspective of Educational Equity
Authors: Zhou Manling
Published: September 2024

Taking Mianning County of Liangshan Yi Autonomous Prefecture in Sichuan Province as an example, this paper analyzes the implementation of the ethnic minority college entrance examination bonus points policy and its impact on local education from the perspective of educational equity. Through the study of the policy background, implementation process and effect evaluation, the positive effects of the policy in promoting education equity and improving the education level of ethnic minorities are discussed, and the problems and deficiencies in the implementation of the policy are also pointed out. This paper aims to provide references and suggestions for the further improvement of the bonus points policy of the college entrance examination for ethnic minorities in China.
The Dilemma and Relief of Anti-monopoly Regulation in Personalized Pricing Algorithms
Authors: Yuan Yijun
Published: September 2024

In the era of big data, online platforms utilizing algorithms for personalized pricing pose monopoly risks that harm competition, and contradict the economic market concepts of consumer protection and encouraging innovation. China's anti-monopoly laws face difficulties in defining relevant markets, and law enforcement agencies are at a loss when identifying abuse of market dominance. The defense rights originally granted to platforms by the law have been abused. In view of this, this paper proposes to establish an evaluation system for competition damage based on consumer protection, specifying the considerations for justifying damage, and suggests using user engagement intensity and activity level as statistical indicators, incorporating the influence of algorithmic computing power, and employing a relative market share assessment method as a determinant factor for judging market dominance.
The Application, Limitations, and Improvement Measures of MOOCs in Education in the New Era
Authors: Guo Wei
Published: September 2024

MOOCs (Massive Open Online Courses) are an internet-based online education model that provides teaching resources and services to global users via web platforms. The development of MOOCs can be traced back to 2002, with significant acceleration in recent years. In education, MOOCs have been widely applied, such as in flipped classrooms and teacher training. They offer high flexibility and rich learning resources, significantly improving students' learning efficiency and reducing learning costs. However, MOOCs also face challenges, such as uneven teaching quality, lack of learner self-discipline, and insufficient humanistic care. For the sustainable development of MOOCs, there is a need to strengthen teacher training, improve teaching quality, enhance teaching evaluation and feedback, and perfect online education regulation. With the rapid development of information technology and the internet, MOOC education has become a prominent educational model. This paper aims to discuss the application of MOOCs in education in the new era, analyze the existing problems, and propose effective improvement measures to more effectively promote the development of MOOC education.
Enhancing High School Mathematics Education Through School-based Research: Development and Mechanisms
Authors: Bai Jing , Dai Zhengrui , Chen Xiaoyu , Cao Wenxiu
Published: September 2024

In the context of ongoing educational reforms aimed at fostering critical competencies among high school students, this paper explores the implementation and impact of school-based mathematics research (SBR) as a strategic innovation within the high school curriculum. Adopting mixed research methods, in the study questionnaires were distributed to all students and teachers in the early stage to collect and analyze relevant data and than the study combines quantitative analyses of student performance data with qualitative insights from teacher and student feedback to assess the effects of SBR on teaching practices and learning outcomes. This research is based on the fact that the traditional education model cannot meet the needs of cultivating students' thinking ability, and the new curriculum reform has decentralized teaching research to schools. The study is helpful to explore the effect of SBR on the cultivation of teachers' scientific research ability and the improvement of classroom quality. The results show the powerful role of SBR in promoting teaching practice and student participation. Based on school characteristics, it proposes effective teaching improvement measures to improve the quality of mathematics education.
A Discussion on the Theoretical Basis of English Teaching Design in Primary School
Authors: Gan Ziyue
Published: September 2024

In order to improve the classroom teaching effect, promote the professional development of teachers, and promote the all-round development of students, instructional design plays an important role. Based on the reading of Professor Chen Donghua's English Teaching Design for Primary Schools and the research of relevant policy documents, this paper analyzes the theoretical basis of English teaching design for primary schools from four aspects: English Curriculum Standards for Compulsory Education (2011 edition), language learning theory, learning theory and teaching theory, aiming to provide help for primary school teachers' teaching practice.
Research on the Application of AIGC in Innovation and Entrepreneurship Teaching in Vocational Colleges
Authors: Wu Lisha , Mei Shaomin , Xiao Zhijian
Published: September 2024

This study focuses on the practical application of AIGC in the field of innovation and entrepreneurship teaching in vocational colleges. It deeply explores the specific mechanism of its role in helping students cultivate innovative thinking and how to effectively enhance students' entrepreneurial ability. Through various methods such as empirical research and case analysis, it comprehensively and thoroughly analyzes the many challenges encountered by AIGC in its application, and proposes corresponding countermeasures. The aim is to provide solid theoretical support and effective practical guidance for innovation and entrepreneurship teaching in vocational colleges, in order to effectively promote the good development of students' innovative thinking, significantly enhance their entrepreneurial ability, greatly improve teaching quality and effect, and assist vocational colleges in cultivating more outstanding talents with innovative spirit and entrepreneurial ability.
Research on the Multi level Training Model for Graduate Students Adapting to the New Positioning of Higher Education Institutions
Authors: Shi Xiaoling , He Quanzhi , Song Nana , Wang Xiangling
Published: September 2024

With the rapid development of higher education and the diversification of talent demand in society, the types and positioning of higher education institutions are becoming increasingly diverse. As an important component of higher education, graduate education also needs to adjust and optimize its training mode accordingly. From the perspective of systems science, this article regards the entire process of cultivating professional degree graduate students as a system, from overall analysis to local research, opens up the graduate student training environment, maintains effective collaboration with various educational resources outside the training subject, focuses on the demand for high-level applied specialized talents in coal mining machinery equipment design and manufacturing in the development of the coal industry in Lvliang District, innovates the training mode, and proposes a collaborative training mode for mechanical degree graduate students in Lvliang University. The aim is to explore a multi-level training model for graduate students that adapts to the new positioning of higher education institutions, analyze the problems existing in the current graduate training model, and propose corresponding optimization strategies, in order to provide reference for the reform and development of graduate education in higher education institutions.
Analysis of Activities in Senior English Textbook from the Perspective of Deep Learning: Taking Required Course Book One by FLTR Press (2019 Edition) as an Example
Authors: Liu Qingqing , Wang Hongyuan
Published: September 2024

Deep learning is an effective way to cultivate students’ core competencies. As an organic part and crucial resource of deep learning in English class, the textbook presents activities at diverse cognitive levels. In this study, the cognitive levels of activities are analyzed in a senior English textbook by adopting a qualitative method, which intends to reveal the characteristics of deep learning activities. Then in the study an even distribution is revealed between surface and deep learning activities, the latter featuring integration, contextualization, and participatory nature. Finally, three suggestions are put forward to promote students’ deep learning.
Study on the Philanthropic Activities of Chinese Commercial Banks from an Environmental, Social, and Governance (ESG) Perspective
Authors: Li Xiao , Zhong Yihang , Song Xianghao , Wang Zhengchen
Published: September 2024

The study aims to investigate the integration of philanthropic responsibility objectives with operational goals within commercial banks, embedding the ethos of financial benevolence into their core business strategies. It seeks to understand how these institutions can capitalize on their inherent advantages and resources to establish distinctive identities in the realm of philanthropy. By examining the 2022 ESG reports of China's six state-owned commercial banks, twelve joint-stock banks, and six city commercial banks, the research delineates the performance of commercial banks in philanthropic projects and expenditures, the development of philanthropic financial products, and the provision of philanthropic services. The analysis reveals three key deficiencies in the current philanthropic practices of commercial banks: the absence of a robust performance accounting mechanism for philanthropic projects and expenditures, the challenge of ensuring the long-term continuity of philanthropic financial products, and the relatively small scale of charitable trusts. The study offers four strategic recommendations for commercial banks: to institute an effective performance accounting mechanism for philanthropic initiatives, to innovate and scale up philanthropic financial products, to enhance the promotion of these products, and to broaden the scope of charitable trust projects. These suggestions are intended to facilitate a more holistic advancement of "charity plus finance" initiatives by commercial banks, thereby enhancing their engagement and impact in the ESG sphere.
Research on the Competitive Strategy of China's Smart Home from the Perspective of the Ecological Chain
Authors: Li Lijie , Wang Xinxiu
Published: September 2024

In recent years, with the rapid development of Internet of Things (IoT) technology and the development of cloud computing, big data, artificial intelligence and other emerging IT technologies, China's smart home has undergone significant changes. Smart home has become a new market wind mouth, many companies want to seize the opportunity to seek development, Xiaomi is no exception. Since 2010, millet company was born on the wind mouth of the Internet, the face of increasingly competitive domestic smartphone market, millet company took a different approach, began to focus on mobile phone peripheral electronic products, and gradually develop the smart home and other hardware products, is committed to the research and development of smart home products, manufacturing, sales, to provide users with one-stop smart solutions. In just a few years, Xiaomi's smart Internet of Things business has developed rapidly, through the "investment + incubation" mode, to the ecological chain of enterprises to export its values and provide full support, to build a symbiotic, mutual, regenerative, feeding the business ecosystem. This business ecosystem not only provides Xiaomi with a large amount of sales water, but also makes an excellent contribution to maintaining Xiaomi's brand heat and increasing Xiaomi's imagination. Useful insights can be gained from the construction motives, construction process, and characteristics of Xiaomi's AIoT business ecosystem. It is expected that the study of Xiaomi can have a certain degree of positive impact on promoting the development of the smart home industry.
Legal Risks and Prevention Strategies in Human Resources Management of Y Fujian Branch
Authors: Chen Fangkai
Published: September 2024

As national laws, regulations and rules tend to improve, and the legal awareness of workers and the awareness of their rights gradually rises, the legal risks in the management of human resources in enterprises are increasing, and this change of situation has put forward higher requirements for the level of human resources management in enterprises. This paper mainly introduces the general situation of Y Fujian Branch and analyzes its human resource management status in detail. Then it analyzes the legal risk and its causes in human resource management. Finally, according to the legal risks existing in human resource management of Y Fujian Branch, the corresponding prevention strategies are put forward. It is hoped that this study can provide effective preventive strategies for Y Fujian Branch to fully cope with the legal risks in its human resource management, and can also provide corresponding reference value for other enterprises' human resource management.
Research on Data Processing and Pattern Recognition Algorithms of Intelligent Biosensors in Biomedical Testing
Authors: Jiang Yufan
Published: September 2024

Intelligent biosensors are increasingly used in biomedical testing, especially in the field of medical testing, showing great potential. This study mainly discusses the data processing and pattern recognition algorithms of intelligent biosensors in medical testing. In the system design, a power spectral density-based analysis method is proposed for human posture recognition and signal processing to optimize data filtering and feature extraction in the signal processing process. By combining pattern recognition and data processing algorithms, the system realizes efficient human posture detection and diagnosis functions. In the process of system simulation, multiple signal processing techniques along with diverse model simulation approaches are employed to guarantee the precision and resilience of the simulation outcomes. The findings from the study indicate that the suggested algorithm offers substantial benefits in enhancing detection precision and real-time efficiency. Detailed analysis of the system architecture and simulation outputs further corroborates the effectiveness and practicality of the algorithm.
Research on the Psychological Cost of Disaster Victims in Emergency Logistics
Authors: Hu Yuejiao , Dong Bo
Published: September 2024

Emergency logistics plays a pivotal role in addressing natural disasters and major public health emergencies, serving as a vital support system to ensure social order and the safety of individuals. In recent years, with the deepening of the people-centric emergency management concept, the academic community has increasingly focused on the psychological state of disaster victims during emergency rescue operations and its impact on rescue effectiveness. Building upon the existing research status of emergency logistics, this paper integrates psychological costs into traditional dispatching and location selection models. It analyzes current domestic and international studies on disaster victims' psychology, identifies deficiencies in current emergency logistics that consider psychological costs based on this analysis, and proposes future research directions to advance the development of a more compassionate and precise service model in the field of emergency logistics.
New Energy Electric Vehicle Industry Development Trends Forecast
Authors: Liu Yiying , Sun Shichang , Liu Hongxi , Xu Liangyang
Published: September 2024

This study focuses on developing the MLPRegressor model for predicting the future trends in China's new energy electric vehicle industry over the next decade. We employed a dataset comprising 16,500 records, encompassing 12 features, such as the number of public electric vehicles, the length of electric vehicle operational routes, and the number of electric vehicles owned by residents, for model training. We compared our model with traditional models like ARIMA, XGBRegressor, and Random Forest Regressor, using MAPE and MSLE as evaluation metrics. The final results revealed that our model exhibited superior performance in terms of loss, outperforming the other models significantly. This research not only provides businesses with more accurate strategies for developing the new energy electric vehicle industry but also serves as a crucial reference for the government in formulating environmentally friendly policies.
The Contingent Effect of Organizational Artificial Intelligence Adoption on Employees’ Taking Charge: Based on Social Cognitive Theory
Authors: Hou Suchang
Published: September 2024

The advent of Artificial intelligence (AI) is catalyzing significant transformations in human work dynamics. Existing research has not yet provided a clear picture of how organizational AI adoption will affect employees’ taking charge. Based on this background, this study explores the internal mechanisms by which organizational AI adoption affects employees’ taking charge based on social cognitive theory. The results of the empirical analysis of the 342 samples indicate that: organizational AI adoption leads to a decline in employees’ organizational-based self-esteem; organization-based self-esteem plays a mediating role between organizational AI adoption and employees’ taking charge; future focus is paid to moderating the relationship between organizational-based self-esteem and taking charge and is a determinant of how their organizational-based self-esteem affects taking charge; future focus is paid to moderating the impact of organizational AI adoption through the indirect effects of organizational-based self-esteem on taking charge. This study highlights the importance of considering individual characteristics (e.g., future focus) when analyzing how organizational AI adoption affects employees’ behaviors.
Strategic Thinking on the Internationalization of Vocational Education in the New Era: Shanghai Aurora Vocational College International Cooperation Practice Exploration
Authors: Tao Junjie , Ding Min
Published: September 2024

Vigorously implementing the strategy of education internationalization is the need of the high-quality development of vocational colleges. It is necessary to further strengthen top-level planning and design, establish a school-wide international school-running mechanism, establish a personnel network from school-level to functional departments to secondary colleges, determine contacts, constantly deepen secondary management, strengthen the main role of secondary colleges in the internationalization of education. Through the practice and exploration of international education of Shanghai Zhendan Vocational College, this paper expounds the key promotion goals, clarifies the specific methods, and forms a further deepening strategic thinking.
Research on English Translation Teaching Mode Based on Artificial Intelligence
Authors: Yao Chengsheng
Published: September 2024

With the continuous development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. This article aims to explore the effectiveness of an AI based English translation teaching model and its impact on traditional teaching models. By analyzing the current application status of artificial intelligence in English translation teaching, this article summarizes the advantages of artificial intelligence in personalized learning, real-time feedback, language data processing, etc., while also pointing out its limitations in the teaching process. Finally, this article proposes the development direction and improvement suggestions of English translation teaching mode based on artificial intelligence, in order to provide useful reference for educators.
Research on Innovative Application and Practical Challenges of Generative Artificial Intelligence in English Teaching
Authors: Wang Sijia
Published: September 2024

With rapid IT advancements, generative AI is gradually transforming education, notably in English language teaching, displaying significant potential. This paper explores the application of generative AI in English teaching and the accompanying challenges. Firstly, through literature review, we summarize the development process of generative artificial intelligence technology, relevant theoretical basis and its application status in the field of education. The paper examines generative AI's application in English teaching, analyzing scenarios like personalized learning, interactive dialogues, automated assessment & feedback, and teacher tools. It also delves into practical impacts via case studies and discusses challenges like technical hurdles, integration difficulties, and ethical considerations. Finally, this paper summarizes the major contributions of generative AI in English teaching and puts forward suggestions for future development trends.
THE SIGNIFICANCE OF CHLOROPHYLLS AND CAROTENOIDS IN ENHANCING SEED TOLERANCE TO ABIOTIC STRESS
Authors: SHUMAILA K , CHANDNI Z , TAYYABA R , SARA A , AIMEN A , BUSHRA A , MUJAHID A
Published: September 2024

the degradation of chlorophylls during seed ripening, residual levels are detectable in mature seeds, affecting their stress tolerance. Carotenoids, predominantly lutein and β-carotene, accumulate in seeds under accelerated aging conditions and high-temperature germination, influencing stress response. The ratio of carotenoid to chlorophyll content (Car/Chl) emerges as a potential indicator of seed stress tolerance, with higher ratios correlating with enhanced resilience to stressors. Objective: This study aims to elucidate the significance of chlorophylls and carotenoids in enhancing seed tolerance to abiotic stressors by investigating their roles and interactions within seeds under stress conditions. Methods: Physiologically mature seeds containing residual chlorophylls were subjected to stress treatments, and carotenoid levels were assessed during seed aging and germination experiments. The Car/Chl ratio was calculated to evaluate its relationship with seed stress tolerance. Results: Seeds with elevated Car/Chl ratios exhibited higher tolerance to stress treatments, suggesting a protective role of carotenoids against oxidative stress induced by chlorophylls under abiotic stress conditions. Carotenoid accumulation during aging and germination further underscored their role in stress response, influencing seed resilience. Conclusion: although residual in mature seeds, chlorophylls contribute to oxidative stress under abiotic stressors. Conversely, carotenoids act as antioxidants, mitigating stress-induced damage and enhancing seed tolerance. The Car/Chl ratio is valuable for assessing seed stress resilience, providing insights into seed physiology under adverse environmental conditions.
A administração dos recursos do Templo: Um estudo de Neemias 10.33-40 sobre dízimos e ofertas
Authors: Furlan Marisa Martins
Published: September 2024

O livro de Neemias testemunha uma transformação na estratégia de recriar a identidade de Israel e sua forma de cultuar o Deus YHWH. Os vícios no Templo demonstravam que os dízimos e ofertas não estavam sendo usados corretamente para manutenção do Templo. As ofertas dos primeiros frutos deveriam ser levadas diretamente para a casa de YHWH, porém como uma quantidade deveria ficar disponível para a troca, outra para dízimos também ofertas, o trabalhador que não servia ao governo vivia imerso na miserabilidade.
A delimitação de imagens na exegese bíblica
Authors: Klein Cardoso Silas
Published: September 2024

O artigo apresenta um panorama inédito dos mecanismos e quadros conceituais envolvidos na seleção de imagens e textos para comparações interartísticas com a Bíblia, i.e., para abordagens cujo objetivo principal é a explicação de aspectos da Bíblia e seu contexto a partir da comparação sistemática entre códigos verbais (“textos”) e não-verbais (“imagens”). Refletindo sobre estudos de caso e em diálogo com diferentes perspectivas metodológicas da história da pesquisa, o artigo propõe a distinção entre a dimensão teórica (passiva, dos pressupostos) e metodológica (ativa, ou da prática) da “delimitação de imagens”. Enquanto o pano de fundo conceitual e a similaridade/dissimilaridade do que será comparado são definidos pelos pressupostos e princípios de pessoas pesquisadoras, os problemas e questões de pesquisa são centrais na decisão por um método para seleção de comparanda (o que está para ser comparado) e a seleção de fato de comparata (o que foi comparado). Como dispositivo heurístico, a distinção dessas dimensões leva à duas hipóteses: (1) fatores epistemológicos, biográficos, institucionais e outros desempenham um papel fundamental na seleção de material mesmo quando não são explicitamente declarados ou refletidos; (2) desequilíbrios entre pressuposições e ações restringem um número significativo de comparações a “comparações de códigos”, i.e., a justaposições que não se engajam totalmente com os artefatos enquanto artefatos e tampouco com seus contextos, sejam tais contextos arqueológicos ou comunicativos. Ademais, a apresentação das diferentes estratégias de emparelhamento de evidências visuais e textos bíblicos e de suas diversas pressuposições pode ser vista como introdução metodológica à exegese interartística.
Pistas para uma ressignificação do conceito de YHWH em Cântico dos Cânticos
Authors: Neiro Lucas Garcia
Published: September 2024

Poucos livros na Bíblia tiveram tanta variedade de interpretações como o Cântico dos Cânticos.  Sua linguagem poética e repleta de metáforas eróticas traz questionamentos sobre seu lugar no Cânon. A pesquisa atual entende majoritariamente o Cântico através de sua interpretação natural, ou seja, propõe que o livro trata do amor erótico-sexual presente na relação do casal apaixonado. Contudo, o versículo 8,6 mostra a conexão desse erotismo vivido ao longo do livro com Deus ao dizer que o amor são labaredas de Yah. Dessa forma, o Cântico apresenta uma proposta de ressignificação da relação entre o erótico e o sagrado. Essa proposta de ressignificação fica clara ao analisarmos tanto a relação intertextual que o Cântico possui com os escritos sacerdotais da época persa, quanto a progressão do conceito de YHWH desde a monarquia judaíta até a teocracia sacerdotal. Tais análises mostram que o Cântico não apenas ressignifica o amor erótico-sexual, conectando-o a YHWH, mas também nos dão pistas para vermos uma ressignificação do próprio conceito de YHWH, como Deus presente na relação sexual.