bluuebunny/crossref_metadata_2025 huggingface dataset:
Pelatihan Penggunaan Media Pembelajaran Berbasis Teknologi Pada Guru SMP Kota Palopo
Authors: M. Nur Hakim  , Paldy Paldy , M. Zulham  , Opik Dwi Indah  , Tri Bondan Kriswinarso  , Ilwati Ilwati
Published: December 2024

Penggunaan media pembelajaran berbasis teknologi dalam proses pembelajaran perlu ditingkatkan agar pembelajaran lebih menarik dan berpusat pada siswa (student centered) dan tidak lagi berpusat pada guru (teacher centered). Solusi atas masalah tersebut adalah melakukan pelatihan. Adapun tahapan yang digunakan dalam pelatihan ini adalah 1) tahap persiapan yang dilakukan melalui kegiatan observasi dan diskusi dengan guru, 2) tahap pelaksanaan yang terdiri dari pembukaan, pemaparan materi, dan pendampingan penggunaan media Games Bamboozole, media Augmented Reality dan Virtual Tour. Adapun hasil respons tertinggi peserta setelah mendapatkan pendampingan adalah bahwa materi pelatihan relevan dengan kebutuhan mengajar. Ini menunjukkan bahwa kegiatan pelatihan yang dilakukan memberikan konstribusi pada guru dalam menggunakan media pembelajaran. Respons tertinggi kedua adalah bahwa pelatih memiliki pengetahuan yang baik tentang media berbasis teknologi. Adapun tindak lanjut dari kegiatan ini adalah pihak sekolah akan melanjutkan kegiatan ini melalui kegiatan Kelompok Belajar yang ada di sekolah.
The effect of employer attractiveness and CSR on recruiting potential gen Y workers: Investigation of the tourism industry in Thailand
Authors: Prasongthan Supaporn
Published: December 2024

The study aims to examine the dimension of employer attractiveness and CSR among potential Gen Y employees, explore how employer attractiveness and CSR influence their intention to pursuit job, and develop a structural model of intention to pursuit job among potential Gen Y job seekers in tourism sector. A total of two hundred Gen Y respondents participated in the study through convenience sampling method. Data was analyzed with multiple stages including EFA, CFA and SEM. Three underlying factors emerged for CSR support include society concern, employee concern, and customer and government concern. Additionally, the findings confirmed the theoretical concept of employer attractiveness consisting of five dimensions, development, social, interest, economic and application value. SEM analysis indicated a good fit with empirical data (CMIN/DF = 1.78, RMSEA = 0.06, CFI = 0.92, TLI = 0.91). The results revealed employer attractiveness and CSR support had positive influence on reputation and effect on Gen Y’s intention to apply for job in the tourism industry. Employer attractiveness and CSR support can act as strategic tools. HR executives should develop a recruitment plan to draw Gen Y to the business, as well as enhance their industry-wide reputation. Fun-Fair-Flexible work environment should be implemented and communicated to target applicants. Digital strategy should be applied via online advertising and social media to communicate to both internal and external stakeholders.
Antecendents Dan Concequence Straregic Entrepreneur
Authors: Widodo Widodo , Wijayanti Kesi , Widyo Dandri
Published: December 2024

This study aims to develop a strategic entrepreneur model so that it can realize sustainable competitive advantage. The respondents of this study are the leaders of the Indonesian batik SME industry. The sampling method uses purposive sampling technique, then the number of samples of this study is 150 respondents. The analysis technique of this study uses The Structural Equation Modeling (SEM) with AMOS software. The results of the study show that six hypotheses proposed are supported by empirical data, The results of the study show that eight hypotheses proposed are supported by empirical data. However, one third hypothesis proposed is not supported by empirical data, namely entrepreneur culture does not have a significant effect on sustainable competitive advantage. The first and second hypotheses of strategic entrepreneurs which include opportunity exploration and entrepreneur mindset have a significant effect on sustainable competitive advantage. Then the fourth, fifth and sixth hypotheses networking have a significant effect on strategic entrepreneurs (entrepreneur mindset, entrepreneur culture and opportunity exploration). And the seventh, eighth and ninth hypotheses risk taking have a significant effect on strategic entrepreneurs (entrepreneur mindset, entrepreneur culture and opportunity exploration).
Study of the mechanical and tribological behaviour of a low-alloy steel treated by nitriding
Authors: Hamidane Ouafa , Chermime Brahim , Alim Mohammed Mounes , Fellah Mamoun
Published: December 2024

This study investigates the effects of plasma nitriding treatment on the mechanical surface properties of 25Cr2Ni4W low alloy steel, using Charpy test specimens. Plasma nitriding is a surface modification process that introduces nitrogen into the steel, enhancing its hardness and wear resistance. The experimental setup involved a comparative analysis of treated and untreated specimens to evaluate the impact of the nitriding process on the material’s mechanical performance.Optical microscopy (OM) analysis of the nitrided specimen revealed the formation of a nitride zone at the surface, confirming successful nitrogen implantation. The Charpy impact test showed that the treated specimen required 72.8 Joules of energy to fracture, a significant increase of 10.3 Joules compared to the untreated specimen, which required only 62.5 Joules. This indicates that plasma nitriding improved the material’s toughness and resistance to crack propagation. Additionally, the nitriding process led to an increase in nano-hardness, as measured using nanoindentation techniques. The treated specimen exhibited a higher surface hardness compared to the untreated sample, further enhancing its wear resistance and durability. These results suggest that plasma nitriding effectively improves both the hardness and toughness of 25Cr2Ni4W low alloy steel, making it a promising treatment for applications requiring enhanced mechanical performance, particularly in high-stress environments.
Maximizing the evaluation of droop control in independent microgrids
Authors: Charfi Zakaria , Bentouati Smain , Tlemcani Abdelhalim
Published: December 2024

This paper presents a microgrid that includes two distributed generators (DGs) with DC ‎sources ‎and ‎loads to discuss the new development of a droop control with two integrators ‎based on ‎‎interconnection and damping assignment passivity-based control (IDA-PBC) with a ‎voltage and ‎‎current control to reduce issues of stability, local oscillations, and transient modes ‎during island ‎‎mode operation. The innovative droop control method integrates advanced techniques to improve ‎‎the dynamic performance of microgrids. This development enables the control of a group of ‎‎distributed ‎generators, allowing the division of energy to be smooth and flexible with safety ‎against ‎‎reverse power flows from generators that are spread out. The proposed control strategy ‎also offers ‎enhanced robustness, adaptability, and efficiency, even in complex operational ‎conditions. The ‎control approach described in ‎this study was verified and evaluated using ‎MATLAB and compared ‎with the previous ‎methods, which have proven effective and reliable in ‎several scenarios, including ‎‎situations involving sudden load changes and power disturbances.‎
Um protocolo de roteamento LOADng seguro e com eficiência energética para IoT
Authors: Sana Touhami , Mohamed Belghachi
Published: December 2024

A Internet das Coisas (IoT) depende de protocolos de comunicação eficientes e seguros para permitir a transmissão confiável de dados em redes de dispositivos interconectados. Entre eles, o LOADng (Lightweight On-demand Ad hoc Distance-vector Routing protocol Next Generation) é um protocolo de roteamento amplamente adotado, projetado para ambientes de IoT de baixo consumo de energia e com recursos limitados. No entanto, abordar os desafios de segurança e eficiência energética continua sendo crítico, especialmente para implementações de IoT em larga escala. Esta pesquisa apresenta uma versão aprimorada do protocolo LOADng, conhecido como Secure and Energy-Efficient LOADng (SEE-LOADng), que utiliza o Received Signal Strength Indicator (RSSI) para detectar ataques Hello Flood direcionados ao protocolo. Para validar seu desempenho, o SEE-LOADng é testado sob condições de ataque Hello Flood e comparado com métodos existentes. Além disso, seu consumo de energia é avaliado em relação ao protocolo LOADng original (sob ataque e sem um Sistema de Detecção de Intrusão) e outras soluções existentes. As descobertas revelam que o SEE-LOADng supera abordagens alternativas, alcançando uma taxa de 100% de verdadeiros positivos, uma taxa de 0% de falsos positivos e demonstrando baixo consumo de energia.
Associações de mancozeb aplicadas com pontas de pulverização distintas no controle de ferrugem asiática em soja de segunda safra
Authors: Santos Nadielly Martins dos , Silva André Augusto Pazinato da , Matias João Paulo , Matheus Lucas Camargo , Theisen Rafael , Bridi Luiz Gustavo Henkemeier , Inoue Miriam Hiroko , Guerra Naiara , Maciel Cleber Daniel de Goes
Published: December 2024

Na cultura da soja as doenças foliares, como a ferrugem asiática, limitam a obtenção de elevados rendimentos, principalmente em condição de segunda safra. Assim, objetivou-se avaliar a eficiência de mancozeb (Unizeb Gold 750 WG®) associado aos fungicidas [trifloxistrobina + protioconazol], [epoxiconazol + piraclostrobina] e [azoxistrobina + ciproconazol] no controle da ferrugem asiática e de parâmetros agronômicos na cultura da soja de segunda safra, com duas tecnologias de pontas de pulverização. O delineamento experimental foi de blocos ao acaso, com 15 tratamentos e cinco repetições, arranjados em fatorial 7x2+1, com sete fungicidas, duas pontas de pulverização e uma testemunha sem aplicação. As aplicações na cultura da soja, cultivar Syngenta V-TOP 1059 RR®, foram realizadas simultaneamente três vezes em intervalos de 14 dias, com dois pulverizadores costais de pressão constante à base de CO2, com quatro pontas de pulverização AD 110.02 e AD 110.02 D. Os fungicidas [azoxistrobina + ciproconazol] e [trifloxistrobina + protioconazol] isolados ou em mistura com mancozeb apresentaram as menores severidade da doença e área abaixo da curva de progresso da doença (AACPD), sendo mais eficientes no controle da ferrugem-asiática quando aplicados com a ponta AD 110.02 D. Mancozeb melhorou o desempenho do [epoxiconazol + piraclostrobina]. As plantas tratadas com os fungicidas associados a ponta AD 110.02 D apresentaram severidade da ferrugem asiática inferior àquelas tratadas com a ponta AD 110.02.
Ball Street Bridge Conservation Management Plan
Authors: Liu Jiarui
Published: December 2024

This Conservation Management Plan focuses on Ball Street Bridge, a Grade II listed Victorian-era bridge in Sheffield, England, recognized for its architectural and historical significance. The plan identifies key management challenges, including structural aging, environmental impacts, community use, and the absence of heritage interpretation. A detailed action plan outlines strategies to address these issues, ensuring the bridge’s structural integrity, environmental sustainability, and role as a community and heritage resource. The plan emphasizes regular structural inspections, the implementation of environmental monitoring systems, and measures to engage the community while mitigating vandalism. Additionally, it recommends the installation of interpretive signage and the development of educational programs to enhance public understanding of the bridge’s historical and cultural importance. Through these initiatives, the plan aims to preserve Ball Street Bridge as a vital part of Sheffield's industrial heritage and a resource for future generations.
Study on the Change of College Students' Attitude Towards E-sports through Social Media in the Era of New Media based on Cognitive Mediation Model
Authors: Yang Xiaotong
Published: December 2024

Under the cognitive mediation model's framework, this study delves into the manner in which college students engage with esports via social media platforms. This engagement not only enhances their understanding of esports but also fosters a favorable shift in their attitudes. The model underscores a positive interplay between motivation, news attention, the capacity for information elaboration, and interpersonal communication. Specifically, meticulous attention to news, precise information exposition, and robust social interaction form the cornerstone of college students' esports cognition. The research initially focuses on students' initial perceptions and attitudes towards esports, subsequently delving into the multifaceted factors influencing these attitudes and their underlying mechanisms. Based on these insights, the study proposes targeted suggestions for optimizing esports publicity strategies on social media platforms, aiming to bolster the robust development of China's esports industry. We are confident that these efforts will further propagate positive esports culture and foster a more comprehensive and accepting understanding of esports across various sectors of society.
Be a Healthy Chinese Child First, Then Be a Sunny Man in the World!
Authors: Bo Chunna
Published: December 2024

To educate people with literature and culture is a valuable spiritual wealth created by teachers and students together, which has an intangible and powerful educational power, and is an important platform for shaping the mind, regulating behavior and inculcating personality. It is an important platform for shaping the mind, standardizing behavior and cultivating personality. It shows the unique values of a class, and what kind of class culture will cultivate what kind of children. As an invisible educational force, class culture shows the unique style and spirit of a class, embodies the soul of a class, and has the functions of cohesion, constraint, inspiration and assimilation.
Review of Legal Terminology Translation Research
Authors: Sun Xue , Chen Xiaoxin
Published: December 2024

Since legal terminology is characterized by rigor, precision and specificity, legal terminology translation is an important task in translation work. This paper firstly clarifies the definition of legal terminology and its sources, and then reviews the current research status of legal terminology translation on this basis. It then analyzes the current problems of legal terminology from the three levels of logic, language and culture respectively, and summarizes the principles of terminology translation proposed by scholars to cope with the problems of legal terminology translation. According to the characteristics of legal terminology translation, the legal terminology translation with Chinese characteristics is analyzed separately.
An Application of Logistic Regression in Bank Lending Prediction: A Machine Learning Perspective
Authors: Zhang Zehao
Published: December 2024

Logistic regression has been widely applied in bank lending prediction due to its simplicity, efficiency, and interpretability. This paper provides a review of the theoretical foundations, practical applications, and recent advancements of logistic regression in this domain. Through case studies and literature analysis, the author focuses on the challenges faced by logistic regression in the modeling process, such as data imbalance and nonlinear relationships, as well as optimization strategies like regularization and ensemble learning. Despite the proliferation of machine learning methods, logistic regression remains the preferred choice and benchmark for credit risk modeling, thanks to its robust predictive performance and regulatory friendliness. Looking forward, the author argues that the integration of logistic regression with other machine learning techniques, coupled with domain knowledge, will further enhance its applicability and predictive power. However, striking a balance between model complexity and interpretability, while improving model robustness and extrapolation, remains an important area for future research. This paper offers new perspectives and insights for credit risk management practices in banks and other financial institutions.
Impact of Gender Stereotypes on Social Treatment
Authors: Yan Tianshu
Published: December 2024

Gender stereotypes (GS) have a profound effect on society and the mind, affecting people from infancy to maturity. Stereotypes are ingrained in children's self-concept and interests from an early age, thanks to media and social interactions. In particular, these prejudices have an impact on job goals and academic achievement. Studies, for instance, reveal that cultural perceptions of masculinity and intelligence, along with GS in STEM (Science, Technology, Engineering, and Mathematics) domains, discourage women from pursuing these professions. This behaviour is connected to cognitive processes that are unconscious and may, without conscious awareness, propagate prejudices. Stereotypes also have a negative impact on women's job happiness in industries like finance, which are dominated by men. Additionally, these prejudices exacerbate psychological issues like sadness, anxiety, and low self-esteem, especially in women who are discouraged from pursuing particular academic or professional paths. In general, GS leads to societal imbalance, restricting women's possibilities and perpetuating discriminatory practices that have an adverse effect on their job advancement and mental well-being. It also affects their mental health and career development.
A Comparative Exploration of BERT, RNN, and GRU for Sentiment Classification
Authors: Zhang Can
Published: December 2024

Sentiment classification tasks are a large branch of current natural language processing problems. The purpose of this task lies in determining the sentiment that the text is trying to convey given a piece of text or sentence. This technique can be widely referenced in areas such as, monitoring market opinion, protecting social security, and developing ai customer service. Currently, the most advanced solutions to the sentiment classification problem are based on Bidirectional Encoder Representations from Transformers (BERT), in order to try to research a better solution, this study will start from the bottom, first find the optimal Recurrent Neural Network (RNN) model to pave the way for future improvements. The research method is to start from one layer and keep adjusting the parameters or RNN types until the best model is found. Through an experimental study, it was found that the two-layer bidirectional Long Short-Term Memory (LSTM) performed best on the sentiment classification problem with an accuracy of 93.21%. It proves that LSTM is better than Gated Recurrent Unit (GRU) and simple RNN in understanding long text, and in the future, more datasets can be collected from other platforms, not twitter, and then the model can be trained more complexly, which will help the model to be generalized to other domains or occasions.
Inducing Factors of Obesity and Weight Management: Research Progress
Authors: Zhu Liqi
Published: December 2024

The global prevalence of overweight/obesity is rapidly increasing, with approximately 48.9% of adults in China being overweight or obese. With the increase in body mass index, the risk of obesity related complications increases and imposes a heavy economic burden on patients. Overweight/obesity has become a global public health issue. Lifestyle intervention is the cornerstone of obesity management. With the rapid growth of global obesity incidence rate, new weight loss drugs are constantly coming out. Especially the new generation of weight loss drugs, with their significant weight loss efficacy, comprehensive metabolic benefits, and good safety characteristics, bring new hope for weight management in obese patients. Therefore, by combining weight loss measures (i.e. drugs and surgery) with scientific long-term weight management concepts and specific weight loss drug applications. This article aims to update and optimize the confirmation and management of obesity, providing some basic theoretical guidance for weight management of obesity in China and helping patients achieve scientific weight loss.
Enhancing Retinal Vessel Segmentation with a Simplified nnU-Net Model and CBAM
Authors: Wu Haotian
Published: December 2024

To better diagnose and monitor ocular diseases, segmentation of blood vessels on the retina is crucial, but manual annotation is labor-intensive and error-prone. To deal with these problems, many automatic segmentation algorithms have already been developed, with deep learning techniques, leading the advancements. This study aims to enhance retinal vessel segmentation by refining the no-new-U-Net (nnU-Net) model through two key modifications: the integration of the Convolutional Block Attention Module (CBAM) attention blocks and the replacement of the original Stage 1 nnU-Net with a simplified Residual Neural Network (ResNet)-like network. The incorporation of CBAM improves feature extraction by focusing on the most relevant features, while the ResNet-like architecture simplifies the network structure, making it more efficient. Experimental results on the Retina Blood Vessel Dataset reveal that the modified nnU-Net model significantly outperforms the original in terms of both Dice score and prediction time. Specifically, it achieves superior accuracy in identifying fine blood vessels and demonstrates reduced memory usage, showcasing its potential for delivering more precise and efficient retinal vessel segmentation.
The Role of Venture Capital in Fintech Startup Growth: A Comparative Study of China and the U.S. Markets and Cultures
Authors: Guo Xiaowen
Published: December 2024

This paper examines the role of venture capital (VC) in fostering fintech startup growth, with a particular focus on the cultural and market structure differences between China and the U.S. Fintech startups are transforming traditional financial services through technological innovation. Still, their growth is influenced by the distinct regulatory landscapes, competitive pressures, and cultural contexts in each market. In China, a rapidly growing fintech sector benefits from strong government support, widespread financial inclusion, and the integration of digital platforms into daily life, leading to a dynamic yet highly competitive environment dominated by tech giants like Alibaba and Tencent. By contrast, the U.S. fintech market operates within a mature financial system with established regulatory frameworks and a higher emphasis on compliance, innovation, and long-term sustainability. This study explores how VC strategies differ between these markets, highlighting the hands-on involvement of Chinese VCs and the more strategic, long-term approach of U.S. VCs. Cultural factors, such as collectivism in China and individualism in the U.S., also shape startup strategies, VC investment approaches, and overall market outcomes. By comparing these two countries, the paper offers insights into how venture capital can be leveraged to navigate unique market challenges and promote sustainable growth in fintech startups.
Solid-State Batteries: Material Challenges and Opportunities
Authors: Zhao Xingjie
Published: December 2024

As the demand for safer, more efficient, and longer-lasting energy storage solutions increases, solid-state batteries (SSBs) have emerged as a promising alternative to conventional liquid-based batteries. With their potential to offer higher energy density, enhanced safety, and greater longevity, SSBs are as a key technology for the future of electric vehicles, consumer electronics, and other high-demand applications. This paper explores the material challenges and opportunities associated with SSBs, focusing on the advantages of solid electrolytes, the potential for fast charging, and the flexibility in battery design. Additionally, the paper addresses critical issues such as lithium dendrite formation, interface stability, and the complexities of manufacturing solid-state batteries. Through a comprehensive analysis of current research, this study highlights the energy storage could undergo a revolution with the potential of SSBs while also pinpointing the technical obstacles that need to be overcome in order to achieve commercial viability. The role of young scientists and interdisciplinary research in driving these advancements is also emphasized.
Study of Chinese-English-Thai Translation Strategies for Tea Culture in a Cross-Cultural Context
Authors: Lu Xuanzhi
Published: December 2024

The purpose of this paper is to explore the Chinese-English-Thai trilingual translation strategies for tea culture in a cross-cultural context. By analyzing the differences between Chinese, Western and Thai tea cultures, and combining them with actual cases of language translation, the paper proposes effective translation methods and techniques in order to promote the international dissemination and understanding of tea culture. As an important part of traditional Chinese culture, the translation of tea culture involves not only the conversion of language level, but also the transmission of cultural connotation. Therefore, this paper will discuss in depth the historical background of tea culture, cultural differences in translation, translation strategies and specific cases.
The Evolution of Government's Public Service Purchase Policy: A Historical Institutionalism Framework of Analysis
Authors: He Dan , Zhaoma Zhayang
Published: December 2024

Public service innovation is the eternal theme of government management. Scientifically recognizing the change process, evolution logic and dynamic mechanism of the government's public service purchase policy is not only an important support for grasping the policy direction and optimizing the policy design, but also a realistic demand for promoting the quality and efficiency of public services and accelerating the modernization of the national governance system and governance capacity. Based on the analytical perspective of historical institutionalism, the government's purchase of public services in China has experienced three important stages: local exploration, standardized development, and deepening reform. Its historical evolution has been profoundly influenced by situational factors, institutional factors, path dependence, and key nodes. The demand for government function transformation and social governance mechanism innovation, as well as the need for service object needs change and public service supply model innovation, are the driving forces behind policy change. Looking ahead, the government's purchase of public services should focus on standardizing and adjusting the setting of guiding catalogs, improving the needs assessment of service purchase, perfecting the implementation process of service purchase, and strengthening the process supervision and evaluation of results, so as to promote the high-quality development of the government's purchase of public services.
Analysis of the Characteristics of E.E. Cummings' Poetic Creation from the Perspective of Foregrounding Theory
Authors: Chen Hong
Published: December 2024

As a representative of modernist poet, Cummings has a unique style in poetic creation. His bold innovation in poetic language strengthens the visual effect of poetry and broadens the meaning of poetry. Cummings boldly challenges people's traditional perception of poetry, breaking the original limitations in all aspects of language, forming a strong and eccentric personal style. His poetry is often the subject of study for linguists. Based on the foregrounding theory in stylistics, this paper attempts to analyze Cummings’s visual poems from graphological deviation, lexical deviation and semantic deviation, as well as the effects that these unconventional linguistic patterns have achieved, thereby excavating the aesthetic value and discovering the basic characteristics of Cummings' poetic creation.
Application of Multiple Linear Regression on Sales Prediction
Authors: Dong Chen
Published: December 2024

Hitherto, companies still facing issues of pricing and allocation of promotional funds. Some evidence already shows the relationship between the sales of the product and three elements which include price, in-store spending, and online advertisement spending. This project aims to predict sales to determine the equation between these factors to help companies maximize the efficiency of promotional funds and balance the product's price and its sales. With the use of multiple linear regression and the least square method, predicted sales can be indicated. This is done through using both the R-square and graph the R-square to evaluate the equation between sales and the three factors mentioned earlier, discovering the fitness of equation is 0.8 (the upper limit is 1) according to the R-square and the trend of predicted values meet the observed values according to the graph. This finding can be used to predict the sales trend for the product and help the enterprise manage the allocation of promotional funds.
Challenging the Primacy of Mentalese: the Role of Natural Language in the Creation of New Words
Authors: Zhang Xiaoxue
Published: December 2024

This paper aims to challenge Steven Pinker's argument that new words are primarily rooted in mentalese instead of in natural language. The significance of this research falls into its exploration of the deep interaction between thought and language, which is a long-standing topic in both the philosophy, linguistics, and cognitive science area. By examining the economics of language, language socialization, and sound symbolism, through an analysis of portmanteaus, political terminologies, literary expressions, fan fiction, and brand names, the paper argues that natural language, significantly shapes thought and language creation with its adaptability, socio-cultural influence, and phonetic features. This refutation of Pinker’s position not only contributes to the broader debate on the relationship between language and thought, but also sheds light on the mechanisms of linguistic innovation. Ultimately, this study reaffirms the pivotal role of natural language in shaping both thought and communication.
The Rationality Analysis of Family Education Investment
Authors: Liang Yu
Published: December 2024

With the change of family structure, more and more one-child families appear, and parents' attention to their children has shifted from multiple to one. In this case, parents' expectations and requirements for their children are getting higher and higher, and the school learning content has been unable to meet parents' expectations for their children's learning. Therefore, Therefore, parents begin to invest in order to improve their children's learning ability and other skills, but some of the investment is obviously irrational, even zero rate of return, but parents are still happy to do it. According to China's household income expenditure, education accounts for nearly 40%, household investment Dezhuang Hu, Hongbin Li and other scholars, according to a study of China's education spending more than half of the income of low-income families, far higher than the high income families, and in which there are a large part of the investment is not being accepted by children, This is not only to the child's physical and mental health caused a certain degree of influence, and also caused the waste of education resources for social inequality as well as to promote education resources.
Constructing an Evaluation Index System for Teacher Digital Literacy based on Student Perception
Authors: Cao Zhenxiang
Published: December 2024

The wave of digitalization is profoundly reshaping the educational landscape, making teacher digital literacy a critical factor in influencing teaching quality. However, existing research often neglects the perceptions of students, a vital audience, when developing evaluation systems for teacher digital literacy. This study begins with student perceptions, drawing on relevant findings and integrating them with educational practices. It identifies 15 evaluation indicators across five dimensions: digital teaching resource utilization ability, digital teaching design ability, digital teaching interaction ability, digital teaching evaluation ability, and digital security ability. Data were collected through surveys, and quantitative analysis methods were employed to assess the validity of the proposed evaluation system. The index system established in this study demonstrates a coherent dimensional structure and robust reliability and validity, providing a scientific and effective tool for evaluating teacher digital literacy. This research has significant implications for teacher professional development, the optimization of teaching practices, and the formulation of educational policies.
The Impact of ESG Performance on Investors' Decision-Making in the Real Estate Industry: Based on Green Building Certification and Facility Management
Authors: Liu Yilin
Published: December 2024

With the global climate problem escalating, the real estate investor's environmental awareness is gradually rising, and financial returns are no longer the only consideration for investors, who are increasingly interested in the real estate industry's performance on the environmental level. This paper focuses on the impact of real estate practices in green building certification and facility management on investors' economic returns and environmental considerations. The study shows that improved environmental, social and governance (ESG) performance not only increases property values and rent levels, but also improves tenant satisfaction and lease renewal rates, which in turn enhances the competitiveness of the real estate market, and thus ESG performance improvement has a positive effect on investors. However, the existing leadership in energy and environmental design (LEED) certification for green building certification still has some limitations in terms of actual energy efficiency assessment and LEED's assessment criteria, which need to be further optimized. In addition, the introduction of edge computing in this paper is superficial and weakly referential to the practice of real estate industry, but it can be used as a general direction to enhance ESG performance.
Masked Expressiveness: Conditioned Generation of Piano Key Striking Velocity Using Masked Language Modeling
Authors: Ye Linzan
Published: December 2024

Creating and experiencing expressive renditions of composed musical pieces are fundamental to how people engage with music. Numerous studies have focused on building computational models of musical expressiveness to gain a deeper understanding of its nature and explore potential applications. This paper examines masked language modeling (MLM) for modeling expressiveness in piano performance, specifically targeting the prediction of key striking velocity using vanilla Bidirectional Encoder Representations from Transformers (BERT). While MLM has been explored in previous studies, this work applies it in a novel direction by concentrating on the fine-grained conditioned prediction of velocity information. The results show that the model can predict masked velocity events in various contexts within an acceptable margin of error, relying solely on the pitch, timing, and velocity data encoded in Musical Instrument Digital Interface (MIDI) files. Additionally, the study employs a sequential masking and prediction approach toward rendering the velocity of unseen MIDI files and achieves more musically convincing results. This approach holds promise for developing interactive systems for expressive performance generation, such as advanced piano conducting or accompaniment systems.
Paleogeographic Evolution and Sedimentary Facies Analysis of Lake Basins in the Northwest Area of Qaidam Basin
Authors: Zhang Ruijiao , Wang Xu , Li Linjie , Wang Zhendong
Published: December 2024

Based on the observation and description of the systematic core samples, combined with the information on the evolution of lake basins and sedimentary background in the northwest area of Qaidam Basin, it was found that the area as a whole was in a lake environment. Accordingly, the sedimentary facies in the northwest area of Qaidam Basin were divided. The main subfacies were semi-deep lake and shallow lake. Meanwhile, based on the distribution of lithology, the microfacies were further divided into algal mat, beach, gray cloud flat and muddy flat. Among them, the algal mat microfacies was distributed very little, the gray cloud flat and muddy flat microfacies were more developed; the semi-deep lake subfacies also had a special microfacies type - turbidity fan, which mainly developed in the area of saline springs. After the spatial distribution of sedimentary microfacies in Qaidam Basin northwest area was clarified, the sedimentary facies in individual wells were divided. It was found that the sandstone and carbonate layers were stacked vertically to form relatively good reservoir and permeability combinations. Based on the above analysis, Qaidam Basin northwest area has been in a closed water environment for a long time, with no significant change in the base level, but it is very sensitive to climate change, and the frequent small fluctuations in the base level caused by seasonal changes determine the rapid alternation of sedimentary microfacies types.
Study on the Influence of Anchoring Effect on Consumer Behavior and Consumer Phycology
Authors: Ruan Shuming
Published: December 2024

Nowadays, with the development of economy, people's consumption level is getting higher and higher, and consumption channels are getting richer and richer. People sometimes buy impulsively, sometimes for their own quality of life and so on. Various merchants have also launched various ways to promote consumers' purchase intentions and obtain higher profits. Like discount promotions, use streaming media to promote. The anchoring effect is used in all of them. This paper mainly studies the application of anchoring effect in daily life and the principle of influencing the psychology of consumers and sellers. Through the summary of the existing literature and the observation of social phenomena, it is concluded that no different anchors have different effects on the results. Various potential factors affect anchoring. The research also found that when consumers or sellers are price takers or passively accept the information of an item, they will be unconsciously affected by the anchor. When they are anchored by other factors such as brand effect and social factors, they will willingly accept a high anchor value and actively follow this high anchor value.
Research on Accurate Recommendation of Personal Accident Insurance based on Actuarial Theory
Authors: Lin Li
Published: December 2024

This paper explores the development of a precise recommendation system for personal accident insurance grounded in actuarial principles. As societal needs for risk management and tailored services increase, the challenge of effectively recommending insurance products to specific customers has emerged as a pressing issue within the insurance sector. Initially, this study examines the context and importance of researching personal accident insurance, followed by an analysis of the accident insurance market to grasp the current state of recommendation systems. Additionally, it investigates how data and machine learning can facilitate accurate recommendations for insurance products. By gathering and evaluating historical data alongside customer behavior patterns and preferences, a personalized recommendation framework is established. This system aims to deliver customized insurance options based on various customer attributes such as age, gender, occupation, health condition, and individual needs for coverage—ultimately enhancing customer satisfaction. Findings indicate that an accurate recommendation system rooted in actuarial science significantly boosts the precision of personal accident insurance suggestions while offering a solid foundation for pricing strategies and effective marketing approaches for insurers. Looking ahead, with ongoing technological advancements and data accumulation, the role of actuarial science in refining personal accident insurance recommendations will likely expand further, providing robust support for sustainable growth within the industry.
The Impact of Food Allergies on Nutrient Intake During Children's Growth and Development Stage and Possible Interventions
Authors: Wang Xiaoying
Published: December 2024

The prevalence of food allergies in children has been rising globally, with varying rates and common allergens across different countries. Common intervention strategies include elimination diets, allergy immunotherapy, and medications, all aimed at managing allergic reactions and reducing associated risks. In the United States, multiple public health strategies have been implemented by governments, health organizations, schools, and communities to support children with food allergies. However, no single treatment or policy is universally effective, and none can fully guarantee the elimination of food allergies. This study is an important reference for researching childhood food allergies, especially in the context of public health policies and community support. Although existing strategies can help manage food allergies to a certain extent, there are still problems of large individual differences and inconsistent treatment effects. Future research can focus more on the development of personalized treatment plans, such as the combination of genetic testing and environmental factors to improve the accuracy of intervention. At the same time, in-depth exploration of allergy mechanisms and verification of long-term effectiveness are also key scopes for future research.
Research on the Influencing Factors of House Prices in Sydney
Authors: Xu Hengjia
Published: December 2024

Considering various factors that affect house prices, this study investigates whether housing prices in Sydney can maintain their value or even increase in the future. A multiple linear regression model was applied using a dataset obtained from Kaggle, which includes 11,161 real estate transactions in Sydney from 2016 to 2021. This paper uses it to explore the relationship between housing prices and 12 independent variables (originally 14 but some have to be abandoned), such as the number of bedrooms, property size, median suburban income, and distance to the central business district (CBD). The results indicate that some factors have a positive, negative, or no impact on house prices and that 39.6% of the real estate price is influenced by them, indicating a moderate level of predictability. These findings provide valuable insights for investors and policymakers interested in the dynamics of the Sydney real estate market, emphasizing the importance of geographic location and property attributes in determining housing prices.
Application of Immunotherapy in the Gynecological Tumors
Authors: Shi Hongtian
Published: December 2024

Gynecologic neoplasms refer to malignancies affecting the female reproductive system, including endometrial cancer, ovarian cancer, and cervical cancer. In recent years, there has been a consistent rise in the incidence of gynecological tumors in China. Due to its high mortality rate, this disease cannot be overlooked. Immunotherapy, which stimulates the body's immune cells to target and eliminate tumors, has emerged as a promising approach for treating gynecological cancers. The examples provided include endometrial cancer, ovarian cancer, and cervical cancer. Immunotherapy has gradually emerged as the primary or neoadjuvant treatment modality for endometrial cancer, exhibiting a remarkable potential to enhance patient survival and mitigate mortality risks. Immune checkpoint inhibitors have exhibited promising outcomes in ovarian cancer, with experimental evidence showcasing their therapeutic efficacy. Cervical cancer is currently exploring immunotherapy approaches and has made substantial progress, as evidenced by favorable response rates. This article provides an overview of current clinical methods and therapeutic outcomes associated with immunotherapy in gynecological cancer treatment while also exploring future directions for its development.
Research on Investment Value of Energy Company Based on Traditional Framework
Authors: Wu Ziming
Published: December 2024

With the increasingly serious climate problems, energy transformation, energy efficiency and other issues, more and more attention by countries, and they have begun to find solutions. Under the circumstance, many new energy enterprises have emergences and traditional enterprises have also embarked on the road to reduce costs and increase efficiency, The energy industry has once again become a hot industry. This article first analyzes the GDP and its growth rate in recent years by studying the macroeconomic environment of the United States, and concludes that after the epidemic United States GDP is gradually recovering, but the growth rate is showing a trend of first decreasing and then increasing. At the same time, it also shows the importance of energy in today's world in order to explain why the energy sector has regained its position. In this paper, we use a simple and easy-to-understand indicator comparison and analysis method, collecting the data of three representative enterprises – Valero Energy, Enphase Energy and General Electric, analyzing their risk and solvency, profitability and market position. Then this article draws the conclusion that the Valero Energy is more attractive to different types of investors and it gives investors who are keen on energy investment an enlightening and fundamental analytical direction.
Research Topic: The Differences Between the Chinese Education System and the IB Programme and the Effect on Students
Authors: Zhang Shanmei
Published: December 2024

This study aims to provide an assessment of the distinctive approaches between the Chinese education system and the International Baccalaureate (IB) Programme that focuses on the impacts on high school students. The research is based on three particular aspects: the curriculum structure, respective teaching methods, and assessment approaches. The study identifies the unique characteristics considering the advantages and disadvantages of the two educational systems. A comparative analysis is determined to the relationship between the influential development of the students and the educational methods of the university on career prospects. The findings show that despite exceptionally good academic results and content knowledge, the Chinese education system tends to secure rote learning and high-pressure environments. Similarly, the IB Programme encourages critical thinking, global citizenship, and interdisciplinary inquiry, however, at very high costs and demands making it inaccessible to the student's self-management. Therefore, the conclusion suggests that each system has a peculiar advantage and disadvantage, with major implications for students' development and career prospects. These findings assist in the discussions of reforming education for better preparation of students globally.
Female Empowerment Advertising Discourse Shaping from a Post-Feminist Perspective: A Case Study of Sina Weibo
Authors: Wei Siqi
Published: December 2024

The internet has facilitated the global spread of female empowerment advertising. While achieving significant commercial success, these ads have been criticized for their post-feminist discourse, which might worsen gender inequality. This paper interprets the concept of "female empowerment advertising" through a post-feminist lens, references prior studies, and examines typical cases to outline four main discursive dimensions of such advertising. Research shows that while these ads seem to sculpt an image of independent women, the underlying logic still aligns with traditional male views of femininity or a pursuit of male power, essentially representing a pseudo-independence. Future discursive expressions in female empowerment advertising must authentically represent women's diversity without diminishing other subjects to accurately convey the consciousness of female self-liberation in the post-feminist era.