bluuebunny/crossref_metadata_2025 huggingface dataset:
Earthworms as Biological Tools for Assessing Soil Pollutants
Authors: Gupta Shweta , Kumar Suresh
Published: December 2024

Soil contamination has increased significantly over the last few decades due to anthropogenic activities such as industrial waste disposal, agricultural practices, urbanization, construction, mining and drilling, waste dumping, and lack of regulation and enforcement. These activities cause soil contamination with pollutants such as heavy metals, pesticides, industrial chemicals, and pathogens. These pollutants disrupt the food chain, contaminate crops and water, and threaten living beings and the environment. To effectively assess soil pollution, it is essential to establish non-hazardous threshold technologies for determining the quantity of pollutants in the soil. A bio-monitoring approach that focuses on metal toxicity and its availability in the soil, as well as its impact on unidentified metabolites, is appropriate. As a major component of soil biota, earthworms play a crucial role in organic matter decomposition and soil reconstruction in terrestrial ecosystems. Several studies have indicated that earthworms can serve as biological tools for monitoring soil pollutants and exhibit stress responses to contaminants. Their density and biomass are significantly affected by local soil pollution because they are directly exposed to the soil environment. This review article summarizes various research studies on how earthworm species function as bioindicators or biomonitors and their response to different soil pollutants. Further research is required to identify the species-specific responses of earthworms and to understand their biochemical, anatomical, physiological, and genetic changes in particular pollutant-contaminated soils. These efforts are aimed at helping us maintain soil health for sustainability.
Spatial Variability in Soil Fertility and Quality and its Influence on Crop Yield of Tribal Dominated Dhar District of Central India
Authors: S. Rajendiran , M. Vassanda Coumar , M. L. Dotaniya , N. K. Sinha , A. K. Tripathi , S. S. Chouhan , V. K. Singh , S. Kundu
Published: December 2024

The objective was to assess the soil fertility and quality status and its influence on crop yield in tribal area of central India. Soil samples and yield data were collected from 780 farmers’ fields across the region and analyzed. Soil quality index was calculated adopting a simple minimum dataset of indicators including intrinsic and dynamic soil properties. Further for comparison across the region, relative soil quality index (RSQI) and relative crop yield (RY) parameters were calculated. Soils in the region mostly had clayey (30.8%) and sandy loam (27.4%) texture with neutral to alkaline pH. The soils deficient in organic carbon, available N, P, K, S, Zn and Fe was 57.1%, 83.3%, 37.2%, 3.4%, 68.3%, 18.6% and 4.1%, respectively. More than 40% of soils were at least deficient in three nutrient elements. The soil quality was also poor (69% soils) and moderately poor (21%) categories with RSQI less than 70%. The soil indicators responsible for poor soil quality were shallow soil depth, poor organic C and microbial activity, and deficiency of N, S, P and Zn. The relationship between RY and RSQI was developed using linear regression model resulted in RY= 0.92×RSQI + 9.66 R²=0.33 and was highly positive. This indicated that soil in the study area had poor soil fertility and quality status, and appropriate soil test based balanced integrated nutrient management practices along with soil and water conservative practices in shallow depth hilly terrain soils could restore or enhance the soil quality and improve the crop yield in the region.
Pendampingan dan Pemanfaatan Ekskul Karate dalam Meningkatkan Kebugaran Jasmani di SDIT AL Ghazali
Authors: Dina Rahmawati  , Abdullah Abdullah
Published: December 2024

Muslims were created by Allah in the best possible form. Maintaining God's creation can be done with various efforts, one of which is sports which are related to regulating emotions and diet to improve physical fitness. The healthier our body is, the more comfortable it is to worship Allah. Talking about physical education, which is commonly known as physical education, is closely related to health. Health is the most precious gift from Allah because of the blessings that are needed in a person's life, including in terms of worshiping Allah. Therefore, it is very important to maintain health through exercise that can improve body fitness. So if we relate it to extracurricular activities in school, we can see how karate is able to improve the physical fitness of karateka (people who follow karate) towards their worship of Allah with the target of students in elementary schools with various age ranges. Through the Asset Based Community Development (ABCD) method, conclusions can be drawn that the use of karate extracurricular can fit the body and have an impact on body health and focus on worshipping Allah. This theme is interesting to explore because it is still not paid attention to and applied in school life as well as in daily life. The hope is to make yourself aware of how important the level of fitness in the body is through karate extracurricular at school and also help make school institutions and coaches who have professional abilities in the field of karate proud
Sustainable Shopping : Kain Perca sebagai Tote Bag untuk Mendukung UMKM Olahan Ikan di Kampung Nelayan Desa Salira
Authors: Aryati Aryati  , Munawaroh Munawaroh
Published: December 2024

This community service activity aims to provide education about the use of shopping bags (totebags) from patchwork waste as an alternative to plastic bags to MSME business actors processed fish in Kampung Nelayan Desa Salira. The method used by the author in this activity begins with providing training on plastic bag waste, then also an introduction to the utilization of fabric waste that can be reused to make new products that are useful and ends with the handover of helanja bags to the business actors of processed fish MSMEs in Kampung Nelayan Desa Salira. The processed fish MSME products are in the form of payus fish amplang crackers, fish rolade, fish nuggets, fish meatballs made from fish, and in their sales require reusable shopping bags and have product selling value.
The Impacts of Ocean Acidification on Marine Ecosystems
Authors: Sun Haochen
Published: December 2024

Ocean acidification, driven by increased atmospheric CO2 levels, poses significant threats to marine ecosystems, affecting biodiversity, species interactions, and overall ocean health. As CO2 is absorbed by seawater, it lowers the pH, resulting in detrimental effects on marine life. This study employs a comprehensive meta-analysis of existing literature to assess the ecological consequences of acidification on key marine organisms, such as corals and shellfish, while also examining the broader implications for marine food webs and fisheries. The findings reveal that ocean acidification leads to decreased calcification rates, altered species composition, and disrupted trophic dynamics, which can compromise ecosystem resilience and functionality. Furthermore, these changes may result in economic repercussions for coastal communities reliant on fisheries. This research underscores the urgent need for effective mitigation strategies and informed policy decisions to address ocean acidification. By enhancing our understanding of these impacts, this study highlights the critical importance of preserving marine biodiversity and ensuring the sustainability of oceanic resources for future generations. The results not only contribute to the scientific discourse but also serve as a call to action for stakeholders involved in marine conservation and climate change mitigation efforts..
Analysis of Factors Influencing the Competitiveness of American Semiconductor Companies: A Case Study of AMD
Authors: Yuan Chang
Published: December 2024

This study conducts a detailed analysis of AMD’s development to explore the factors influencing its competitiveness in the global semiconductor industry. By employing financial analysis, market competitiveness analysis, technological innovation analysis, and case study methods, this research systematically examines AMD’s financial health, market position, technological innovation capabilities, and future development prospects. The results of this study not only provide valuable empirical evidence for semiconductor companies but also offer strategic suggestions for maintaining a competitive edge in the industry.
Design and Optimization of CMOS Layout Structure
Authors: Liu Xuquan
Published: December 2024

CMOS process is currently the mainstream process technology for large-scale integrated circuits. The integrated circuits manufactured by this process have the advantages of low power consumption and high integration. With the continuous upgrading of semiconductor technology theories and design concepts, CMOS IC layout design is no longer a simple graphic design at the beginning, but has developed into a complex design problem that requires comprehensive consideration of various factors. Therefore, the design of layout and optimization for different problems have become more and more important. In this paper, we summarize the contents of the current mainstream CMOS layout design, common design difficulties and problems, and the optimization solutions proposed for each type of problem. The paper will first introduce the basic rules and fundamental flows of layout design, outlining their definitions and purposes. Secondly, the paper will present the optimization of the layout design taking into account different factors and problems. In particular, it focuses on the improvement schemes of the layout when facing the chip failure problems such as ESD effect and Latch-up effect.
Research on multiple profit means of film business and its industrial derivatives: A case study of Universal Pictures
Authors: Chang Yilin
Published: December 2024

The increasingly mature film industry has a huge influence on the world. Nowadays, film has become an important artistic channel for promoting culture and communication. At the same time, the commercial value of the film also promotes the development of the international market. In addition to box office revenue, the derivatives of the film industry also constitute an important part of the industry’s profits. By issuing electronic games, opening theme parks, selling souvenirs and other ways to meet consumer demand, film and television companies have brought a lot of income, but also provide a positive role in promoting social development. For example, the Universal Studios resort built around the world attracts the majority of tourists to come and spend money through the influence of movie IP. At the same time, the opening of Universal Studios has also promoted the development of the regional economy, driving local tourism, transportation and service industries. The development of the industry and the improvement of consumer demand have also promoted the emergence of a large number of jobs and provided employment opportunities for the society. By analyzing the derivative sales model of Universal Pictures, this paper analyzes the marketing strategies and business models of different projects with examples and discusses the diversified profit means applied by them and their promoting effects on the market economy.
Research on Analysis of the Impact of Advertising Strategies on the Fast Food Market and Optimization Strategies
Authors: Yuan Ruoyu
Published: December 2024

This paper examines the impact of advertising strategies on the fast-food market and provides recommendations for optimizing these strategies. The importance of this topic stems from the fast food industry’s reliance on aggressive marketing to drive revenue in an increasingly competitive and health-conscious environment. Through case studies, such as McDonald’s and Burger King’s marketing approaches, this paper explores how pricing tactics, failure to adapt to health trends, and inconsistent digital marketing efforts have posed challenges to sustaining long-term profitability and customer engagement. The analysis highlights three key problems: the overuse of price-based promotions, resistance to change in response to health-conscious consumer behavior, and a lack of cohesive digital strategies. The paper then offers suggestions, such as shifting from price-based to value-driven marketing, effectively incorporating healthier menu options into brand messaging, and improving digital engagement with younger audiences. In conclusion, the research underscores the need for fast-food brands to evolve their advertising strategies to maintain relevance and profitability. By addressing these challenges, companies can better position themselves to thrive in a dynamic market.
Analysis of the Current Application of Artificial Intelligence in High School Education: A Case Study of Yutan Middle School in Ningxiang City
Authors: Wan Qiuyi
Published: December 2024

In the trend of educational digitalization, this study focuses on the current application of artificial intelligence in high school education, using Yutan Middle School in Ningxiang City as a case study. The research employed interview methods to conduct in-depth discussions with four interviewees, exploring the current status and existing issues of AI application in high school education at Yutan Middle School and proposing targeted countermeasures. The study finds that the application level of artificial intelligence in high school education at Yutan Middle School is relatively low and still in the exploratory stage, primarily influenced by factors such as subject nature, teaching concepts, high costs, operational complexity, and knowledge accuracy. To address these issues, the research suggests optimizing AI software to enhance technological maturity, strengthening teacher training to improve digital literacy and skills, and establishing an AI teaching technology exchange platform to share resources and promote educational innovation. Although this study has a small sample size and limited interview scope, it provides insights for future research directions.
The Significant Role of Music and Zen in Education and Culture during the Twentieth Century
Authors: Lai Yixin
Published: December 2024

The relationship between Chinese and foreign music and philosophy has not been fully explored and studied, but through the exploration of the relationship between the works of Tan Dun and John Cage and Zen Buddhism and philosophy, we can find that it contains profound thinking and cross-cultural communication value. This kind of research helps promote cross-border music cultural exchange and music education, providing new perspectives for international culture and music education. This article takes the works of Tan Dun and John Cage as the research objects, and draws research conclusions through the use of literature research method and comparative research:Tan Dun’s water music is closely related to the water element in Taoism, showcasing the infinite possibilities of water as a musical instrument. John Cage created accidental music through music experiments and Zen philosophy, overturning traditional rules and standards. Musicians from different countries integrate traditional philosophy and culture into their works, promoting cross-cultural communication and understanding, and playing an important role in diverse music education.
The Potential for BYD’s electric vehicle to build its supply chain in the United States
Authors: Huang Yaohui
Published: December 2024

In the context of China’s economic upgrading and transformation, China needs to find new opportunities and chances in the global market. China’s willingness to spread its products, specifically electric vehicles, is increasing. In this paper, the essay will use SWOT and case analysis to analyze the possibility of BYD, a local electric vehicle car company highly famous in China, electric vehicle production lines in the United States. The core research conclusion is that even though implementing BYD’s production line in the United States is difficult due to labor dispense, location variations, and material import aspects, it is a possible mission.
Systematic Analysis on Advancements and Challenges in Memory Cell Technologies
Authors: Ye Boning
Published: December 2024

With the rapid growth of data volume in the era of “Internet of Everything”, traditional storage technologies face many challenges in improving storage density and performance. This paper focuses on the current status and development of modern storage technologies, mainly focusing on the mainstream storage technologies such as phase-change memory (PRAM), static random access memory (SRAM) and NAND Flash, and analyzes their application prospects in the field of high data demand such as autonomous driving, as well as the current technical bottlenecks and limitations. The study concluded that despite the advantages of each of these technologies, they still need to be further optimized in terms of energy consumption, reliability and storage density. This paper also looks forward to the future development direction of storage technology, and puts forward suggestions to improve the overall performance through new materials and storage architecture improvements. This research is of great significance for promoting the application of storage technology in the fields of big data, artificial intelligence and autonomous driving, and can provide references for solving future data processing and storage challenges.
Inflationary Epoch and CMB Observations: Bridging Theory and Experiment
Authors: Ma Yuanyuan
Published: December 2024

This study discusses inflationary models supported by Cosmic Microwave Background (CMB) measurements from Wilkinson Microwave Anisotropy Probe (WMAP), such as the Lambda Cold Dark Matter model, also referred to be the modern standard model of cosmology. The prevailing Big Bang model is complemented by the inflationary model, which solves monopole, flatness, and horizon paradoxes and makes important predictions about the geometry of the universe and the Gaussianity of the primordial spectrum of density fluctuations. The goal of WMAP is to measure key parameters including the Hubble constant, cosmological density parameter, anisotropy spectral index, and others in order to investigate the structure, evolution, and composition of the universe. The inflationary concept, especially the ΛCDM model, is further strengthened by the CMB data from WMAP, which agrees well with it.
The Effect of Social Media Engagement and Understanding on Adolescents’ Marriage Attitudes
Authors: Fu Zhaowei
Published: December 2024

The current study is primarily geared towards analyze the impact of social media on adolescents’ marriage attitudes and to explore the extent to which these factors affect teenagers. The Media and Technology Usage and Attitudes Scale (MTUAS) was used to measure social media engagement. The New Social Media Context Awareness Scale (SMCA) was the measurement of social media understanding. Marriage attitude was assessed using the General Attitudes Toward Marriage Scale (GAMS). A total of 140 adolescents from 14 to 24 years old were measured. Cronbach’s Alpha coefficients demonstrated the acceptable reliability of this study. In conclusion, the correlation between marriage attitudes, social media engagement and social media understanding was significant. Therefore, social media understanding made a negative influence on marriage attitudes. The forecasted outcome carries both theoretical implications and practical relevance, potentially shedding light on the profound impact that social media platforms exert on the perspectives and attitudes of young individuals towards the institution of marriage.
Research Progress of Asynchronous FIFO Design
Authors: Wang Zhuocheng
Published: December 2024

With the high-speed development of integrated circuits, digital systems are growing in size and complexity. In complex digital systems, different modules may run under different clock domains. For example, in a communication system, the data receiving module and the data processing module may be driven by different clocks, where it requires an effective data caching mechanism to coordinate data transfer between different clock domains. Asynchronous FIFO meets this need. It can securely store and transfer data between different clock domains, reducing the possibility of data loss and errors. This paper gives a comprehensive review of the design of asynchronous FIFO, and summarizes the characteristics and advantages of asynchronous FIFO in a metastable state, empty-full signal creation, low latency, high throughput, parameterizable design, and the performance of different design methods and application scenarios by analyzing several related research results. The purpose is to provide a reference for further research and application of asynchronous FIFO.
A Study on the Progress of Microelectronics in Wearable Devices
Authors: Liu Shenghao
Published: December 2024

In recent years, wearable devices have become a hot issue, and microelectronics technology is an indispensable technology in the process of manufacturing wearable devices. In this paper, the definition and application fields of microelectronics technology and wearable devices are first reviewed, and then the theoretical knowledge related to microelectronics technology, i.e., the application of integration methods, low-power technology, and wireless communication technology, is summarized. Then the applications of wearable devices are described in detail, and the research results in recent years are summarized. The most important application of wearable devices is the exploration of human body functions, including the two major application areas of physiological parameters in medical devices and motion detection in smart wearable devices. It concludes with a look at how future research can make wearable devices more convenient for people to use, as well as centralize more functions in smaller devices.
Retrospective Analysis Comparing the Effectiveness of Epoetin Alfa and Darbepoetin Alfa in Cancer Related and Chronic Kidney Disease Related Anemia Patients
Authors: Qian Huiqun
Published: December 2024

This retrospective analysis compares Epoetin Alfa and Darbepoetin Alfa in the treatment of patients with anaemia with cancer and anaemia with chronic kidney disease. Both erythropoiesis-stimulating agents (ESAs) stimulate erythropoiesis by modelling the natural hormone erythropoietin. Epoetin Alfa and Darbepoetin Alfa have significant structural and pharmacokinetic differences. Epoetin Alfa has a shorter half-life and needs to be administered more frequently, whereas Darbepoetin Alfa has a longer half-life and can be administered less frequently. However, they both increase the risk of thromboembolic events (TEE). This review explores the mechanisms of increased risk of TEE, evaluates clinical data, and discusses strategies to reduce risk. Clinical evidence suggests that Darbepoetin Alfa has a lower incidence of TEE compared to Epoetin Alfa. Individualisation of medication, regular haemoglobin monitoring and thromboprophylaxis in high-risk patients are essential to optimise treatment. The paper highlights the necessity of further research into safer alternatives. In summary, darbepoetin alfa may be a priority for stable patients due to its pharmacokinetic advantages and reduced risk of TEE. This article provides options to healthcare professionals for prescribing the drug and provides ideas for subsequent research directions.
A Historical Perspective: A Case Study of The Night Revels of Han Xizai
Authors: Zheng Hao
Published: December 2024

This research focuses on the expressions and actions of Han Xizai, the protagonist of the famous painting The Night Revels of Han Xizai, from the details to the skills of the author, finding the aesthetic value behind them. The process of making comparison between Chinese court paintings and Western’s gives references to study the art history and cultural differences. The literature analysis method is used to find and read relevant information, helping this paper further dig out the subtle meanings of this painting. How the artist conveyed instructions to audiences and how it shows imparity towards other court paintings are conducive in this research; The ultimate goal of this study is to give a refined analysis and shed light on the informative story in the court painting. To achieve the objective, this paper will carry out comments from scholars and critics, as well as unique perspectives from the researcher’s own.
Bridging Giants: A Comprehensive Analysis of Sino-US Collaboration on Climate Change Solutions
Authors: Cui Chenghong
Published: December 2024

China and the U.S. are essential to collaboration and climate change action since they are the two countries with the greatest economies and emissions of greenhouse gases worldwide. Over the past decades, China and the United States have gone through many stages of exploration, collaboration and contradiction, concerted leadership, regression, and disagreement in climate cooperation. There have been exploration experiences in the early stages of collaboration on climate issues, cooperation and contradiction in GHG emissions reduction, constant changes in U.S. climate policy, and presidential partisanship. The U.S.-China climate and environmental cooperation have been characterized by a cycle of “positive interaction - declining warmth - leading the world - setbacks - restoring warmth.” This paper focuses on a comprehensive analysis of the history, current status, and future trends of U.S.-China climate cooperation in terms of policymaking, which is of great significance to promoting global climate governance and collaboration in addressing climate change.
Structural Analysis of the SCN1A R1648H Mutation in Epilepsy Using Alpha Fold
Authors: Hu Hanlin , Zhang Jianwei
Published: December 2024

Epilepsy is one of the most common chronic, noncommunicable neurological conditions in the world, affecting around 50 million people worldwide. The condition is characterized by repeated seizures caused by unusual electrical activity in the brain. The major causes of the condition include brain injury or infection, metabolic problems, neurotransmitter imbalance, and genetic factors. Besides the major causes listed above, genetic mutations also play an important role in certain forms. SCN1A is one of the key genes involved and is linked with Dravet syndrome—a severe developmental and epileptic condition—and a list of epileptic conditions. The SCN1A gene produces a specific protein, part of the sodium channel (NaV1.1), in nerve cells. This protein can regulate sodium ions across the cell membranes, which is critical for how the electrical signals move and can be controlled. However, the mutations in SCN1A can disrupt such electrical signal movement processes, leading to nerve transmission problems and possibly increasing the chance of seizures. This study employs AlphaFold, an artificial intelligence-based protein structure prediction tool, to explore the structural changes caused by the R1648H mutation. By comparing the wild-type and mutant SCN1A proteins, we aim to identify specific alterations contributing to sodium channel malfunctioning in epileptic conditions. Understanding these molecular consequences can bridge the gap between genetic mutations and clinical outcomes, potentially informing the development of targeted therapies and personalized medicine approaches for SCN1A-related epilepsies.
Research on Otome Games’ Impact on the Identity Construction of Chinese Women
Authors: Lin Shiwen
Published: December 2024

This paper explores the impact of otome games, a genre of relationship simulation games, on the identity construction of Chinese women. By examining the popularity and cultural implications of otome games in China, it aims to understand how these games influence women’s self-perception, confidence, and social roles. A survey was conducted involving 60 participants, both otome game players and non-players, with data analyzed using correlation tests. The results suggest that the more time women spend playing otome games, the more they experience enhanced confidence and self-awareness. Additionally, these games foster increased independence and diminished concern for male evaluations. However, concerns arise regarding the potential isolation from real-life relationships. Besides, this paper discusses the proper measures that would foster or reduce the influence of playing otome games, providing advice for the government, the game community, and individuals. This paper argues that otome games have a profound effect on female identity construction, offering both empowerment and challenges and highlights the importance of fostering balanced gender perspectives in gaming narratives.
Brain-Computer Interface Based Cognitive Rehabilitation for Alzheimer’s Diseases Patients
Authors: Wang James Zijian
Published: December 2024

Alzheimer’s Disease (AD) presents a significant challenge to healthcare systems worldwide, with its progressive cognitive decline impacting millions. This paper explores the potential of Brain-Computer Interface (BCI) based neurofeedback therapy as a novel approach to cognitive rehabilitation for AD patients. Traditional pharmacological interventions, though widely used, are limited by efficacy and side effects. Neurofeedback, leveraging real-time neural activity feedback, offers a non-invasive alternative, stimulating neuroplasticity and self-regulation of brain activity. The integration of BCI technology allows for personalized, adaptive therapy, responding to individual patient needs. The paper reviews the complex pathophysiology of AD, emphasizing the critical roles of amyloid-beta plaques and tau protein tangles in the progression of cognitive impairment. It delves into the mechanisms of neurofeedback, its clinical applications, and the combination of BCI with neurofeedback in treating AD. Preliminary findings suggest neurofeedback can stabilize or improve cognitive functions in AD patients, distinct from the typical decline. Despite these promising results, the overall efficacy of neurofeedback in AD treatment is not yet fully established. The approach remains under scrutiny, necessitating further rigorous research and large-scale clinical trials to validate its long-term benefits and optimal protocols. The paper concludes by emphasizing the need for extensive, interdisciplinary research, including longitudinal studies and standardized protocols, to fully realize and validate the therapeutic potential of BCI-enhanced neurofeedback in managing AD across various stages of the disease.
The relationship between social comparison and social appearance anxiety from an evolutionary psychology perspective
Authors: Li Ruoqiong , Wang Ling , Lee Angelina , Ou Kangni
Published: December 2024

Social appearance anxiety has been widely studied as an important factor affecting today’s youth. Severe appearance anxiety is highly likely to develop into Body Dysmorphic Disorder (BDD), which can have a very important impact on people’s physical and mental health. In this context, it is particularly important to trace the motivation behind people’s appearance anxiety. Our research aims to investigate the relationship between people who spend more time browsing through pictures on Instagram with a higher tendency to develop social appearance anxiety and to understand the motivation for social appearance anxiety in the context of evolutionary psychology, specifically due to their desire to improve their chances of mating. The study will use the Social Appearance Anxiety Scale (SAAS) to measure levels of social anxiety related to perceived appearance in social contexts, and the survey will categorize whether participants spend more time on social media or post more on social media. Our expected results of the study are that participants who spend more time browsing social media will score higher on the SAAS scale. We will discuss various possible outcomes, with the expected result being that people with a higher propensity for social comparison are prone to social appearance anxiety.
A study on the attraction of New Bakery brand culture to young people: Taking YouHe as an example
Authors: Zhang Xiaoyang
Published: December 2024

Facing the instability of global economic environment and the pressure of domestic economic transformation, this paper discusses the change of young consumers’ behavior in this environment by analyzing the domestic and foreign macroeconomic background and the present situation of domestic baking market. Through questionnaire, interview and other methods, we collect a lot of data about YouHe young consumer groups, and conduct in-depth qualitative analysis to reveal the internal relationship between brand culture construction and the preferences of young consumers. Through the above methods, this paper found: YouHe bread brand culture construction and the preference of young consumers highly match, is the important reason for its market success. This study enriches the research field of the relationship between brand culture construction strategy and consumer behavior, and provides empirical support for the development of related fields. At the same time, this study has important reference significance for the development of related baking enterprises.
Effects of Water and Nitrogen on Eco-physiological Characteristics of Two Dominant Grassland Species on the Semiarid Loess Plateau
Authors: Zhang Jiayuan
Published: December 2024

To investigate the eco-physiologcial traits in response to water and nitrogen supplying conditions of native species is of importance for understanding their eco-adaptation to the local environment, and also finding rational agronomy measures for using them in artificial grassland construction. In this study, using Bothriochloa ischaemum (C4 grass) and Lespedeza davurica (C3 legume) as research materials, a pot experiment was conducted to compare the leaf photosynthetic traits, leaf fluorescence parameter characteristics and leaf relative water content of the two dominant native species under three different soil moisture conditions (80%FC, 60%FC and 40%FC) and two nitrogen supplying (0 g N kg-1 and 0.025 g N kg-1) conditions when sown individually or in mixture. Results showed that as soil water content decreased from 80% FC (field capacity) to 40% FC, leaf net photosynthetic rate (Pn), transpiration rate (Tr), intercellular CO2 concentration (Ci), and stomatal conductance (Gs) of monocultured plants showed an increasing trend, while the photosynthetic parameters of mixculture plants generally exhibited a decreasing trend. The Pn values of L. davurica were significantly higher than those of B. ishchaemum (P<0.05), and the maximum value was 12.50 mmol m-2 s-1. As soil water content decreased, the initial fluorescence values (Fo), maximum potential quantum yield of PSII (Fv/Fo), and maximum photochemical efficiency (Fv/Fm) values under no nitrogen treatment showed no significant change (P>0.05). Overall, the data indicated that when B. ischaemum and L. davurica were mixcultured, there existed a significant mutualistic effect under low soil water situation, indicating mixculture of B. ischaemum and L. davurica was beneficial for coping with drought in the semiarid region.
Chanel’s Successful Pricing Strategy for Maintaining Appeal in an Unfavourable Economic Environment
Authors: Cheng Jiajia
Published: December 2024

The outbreak of Covid 19 in the world has serious impacts in different countries with most economic sectors suffering a lot. Nonetheless, some sectors like the luxury goods industry demonstrated great recovery and even growth, especially for the big brands such as Chanel. By several correct market positioning and pricing strategies Chane not only sustains and preserves the brand during the period of crisis but also becomes the leader of the high-price segment. Thus, this research explores pricing strategies employed by Chanel in an unsuccessful economic outlook, to assess how the strategies above have assisted the brand in sustaining its luxury positioning while sustaining customers’ interest during the economic crisis. The fact-finding shows a detailed examination of the development of the Chanel brand, the pricing policies of the brand, as well as the market position of the brand to show how Chanel has sustained the competitiveness of the luxury brand through the application of systematically high prices, the principle of scarcity, and brand culture. In addition, the study analyses Chanel’s unique strategy and market leadership by comparing it with other luxury brands such as Hermes. The findings suggest that Chanel’s sustained price increases and effective use of its brand heritage have enabled it to maintain its leading position in a highly competitive market, while also providing a valuable strategic reference for other luxury brands.
Exploring the Impact of Artificial Intelligence on Journalism in the Future Digital Era
Authors: Zhang Siya
Published: December 2024

In the face of the pervasive influence of Artificial Intelligence technology on the journalism industry for the past few years, journalists have called the adoption of AI technology into question. AI technology in journalism has shaped the industry’s landscape in news topic selection, news production, news distribution, news consumption, etc. Entering a new era of AI-associated journalism and a world where robots can write like people, the industry faces the question of what would be the role of journalists. This research will examine the impacts of AI technology with a focus on both opportunities and challenges. AI-driven tools are found to be helpful to journalists by providing them with vast datasets, fact-checking information, and content creation, etc. However, there are also criticism doubting the ethical use of AI and concerns about job replacement. Through a comprehensive analysis of the applications of AI in journalism, this paper highlights AI’s future implementations, such as its use in news writing, data analysis, and fact-checking, potential challenges of inaccurate information, loss of human oversight, and job displacement as well as future suggestions to take advantage of technological advancement within the scope of journalistic integrity and ethics.
Blockchain Empowers Risk Mitigation and Management in Digital Trade Processes
Authors: Gao Xiaochun
Published: December 2024

As information technology gradually empowers traditional trade processes, the development of digital trade in new forms, especially the hot topic of innovative combination of “blockchain + digital finance”, requires attention. This paper aims to study how information technology can assist in legalizing digital trade processes, enabling trade entities to avoid trade risks, reduce transaction costs, and enhance their willingness to trade; how blockchain technology can be integrated into legal frameworks, and how it can be incorporated into policies. Applying blockchain technology to asset evaluation, credit evaluation, and information monitoring can greatly benefit the efficiency and security of digital trade processes.
Status Seeking and Luxury Consumption: The Mediating Roles of Brand Identity and Social Value, and the Moderating Effect of Price Sensitivity
Authors: Pan Tianyi
Published: December 2024

The study explores how status-seeking motivations influence consumer purchase intentions in the context of luxury brand sub-brands, focusing on the mediating roles of brand identity and social value, and examining the moderating effect of price sensitivity. Drawing from social cognitive theory, the research highlights how personal and social factors shape luxury consumption behavior. Through a survey of 402 Chinese consumers, results indicate that status seeking positively impacts purchase intention, with brand identity and social value acting as significant mediators. Furthermore, price sensitivity is shown to moderate these relationships, influencing how brand identity and social value affect purchase intention. This study enriches the literature on luxury consumption by elucidating the pathways through which social value and brand identity connect status-driven motivations to purchasing behavior and provides actionable insights for marketers in segmenting consumers based on price sensitivity to optimize sub-brand positioning. Limitations and directions for future research are highlighted.
The Characteristics of Fruit Price Fluctuations and Their Risk Management in China: A Case Study of Apples, Bananas, and Grapes
Authors: Gao Jingbing
Published: December 2024

This study analyzes price fluctuations of apples, bananas, and grapes using quantitative and qualitative methods. Based on price data from January 31, 2014, to January 19, 2024, GARCH models are applied to study price volatility, and the Value at Risk (VaR) method is used for risk management. The results show significant fruit price volatility, with log-returns having a leptokurtic distribution. Prices of apples and grapes display conditional heteroskedasticity, fitting well with GARCH models, while bananas do not, making GARCH unsuitable for them. Among three distribution assumptions (normal, Student’s t, and GED), the GED model provides the best fit. Further findings reveal a mismatch between returns and risk for apples, while grapes exhibit a high-risk, high-return profile. Additionally, apple prices lack asymmetry, whereas grape prices do show asymmetric volatility. VaR back-testing confirms the model’s reliability, especially at a 99% confidence level with zero failure rate. This research provides practical tools for fruit market risk management, aiding in resource allocation, hedging strategies, and risk cost reduction.
Optimizing of Resistive Random Access Memory to Increase Its Practicability
Authors: Lyu Chenxian
Published: December 2024

The progress in Integrated Circuit Technology, has promoted the development of emerging technologies like AI and Iot. It also requires the memory technology a high standard. Resistive random-access memory (RRAM) has the advantages of lower power consumption, fast speed and owns a strong compressibility, and it is regarded as the most promising NVM in next generation. This review explains basic principle of RRAM, several switching mechanisms, and different materials of the dielectric layer, then compares performance of RRAM in different materials. The RRAM that is completed can replace Flash memory due to its function currently, and can be applied to different fields like Neural Network and IoT. However, the experimental data of RRAM is still not stable. Till now, feasible methods include Defect Engineering, Nanostructure or looking for better materials. Ion doping is one of Defect Engineering, it has been used for years and is proven to be useful on improving the stability and memory window of RRAM. As the fundamental in the development of electronics, the optimization of RRAM definitely has great influence on it. If RRAM can be widely used in the future, the development of new technologies will inevitably be astonishing.
Optimize the Mutagenesis Strategy by Comparison to Develop High-Yield Alkaline Protease Strains
Authors: Cao Lige
Published: December 2024

Alkaline protease is a hydrolytic enzyme capable to degrade proteins into small peptides and amino acids, as a biocatalyst, it is applied in various fields such as detergent and leather industry. Here we report the different sources and pH values of alkaline protease and the bacterial species producing alkaline protease, discuss UV and ARTP and compare these two mutagenesis methods, and show that ARTP causes more DNA damnification than other mutagenesis methods and has the highest mutation rate caused by ARTP. In order to improve the protease production of Bacillus strains, the previous study has proposed some new and optimized mutagenesis methods. In addition, this paper demonstrates and highlights the considerable industrial potential of alkaline protease in detergents, leather processing, silver recycling, medical use, food processing, feed, chemical industry, and waste treatment, in which detergent and leather industry are more used.
A Case Study on College Students’ Strategies for Employing Artificial Intelligence in Writing Second Language thesis
Authors: Tang Ruixue
Published: December 2024

As artificial intelligence (AI) technology proliferates, its impact on second language education, has garnered significant attention. This study explores the strategies adopted by university students in utilizing AI tools, including machine translation and generative AI, during their second language thesis writing process. By conducting semi-structured interviews with Japanese majors, the study delves into students’ utilization strategies, perceptions, and their desired assistance when applying AI tools for academic writing. The findings reveal that students frequently rely on machine translation for comprehension and initial translation, while generative AI aids in summarizing, outlining, and refining language. While acknowledging the efficiency and quality enhancements AI brings, students also note limitations such as translation quality issues and potential misunderstandings with generative AI. Participants express needs for instructor guidance, training, and recommendations for suitable AI tools. This study concludes that AI tools hold promise for enhancing academic writing but underscores the importance of future research on larger scales to evaluate their long-term effects on writing skills and creativity. Furthermore, developing user-centered AI tools and integrating AI into writing curricula are recommended to maximize the educational benefits of AI-assisted writing.
Antibody-Drug Conjugate and Its Application on Lung Cancer
Authors: Yu Jason
Published: December 2024

Antibody-drug conjugates (ADCs) represent a promising class of anticancer therapeutics, comprising a monoclonal antibody (mAb) linked to a cytotoxin via a specialized linker. Currently, 15 ADCs have received FDA approval, with numerous others undergoing clinical trials. Despite their potential, ADCs have shown limited application primarily in specific cancer types such as adenocarcinoma, and their efficacy in other cancers like non-small cell lung cancer (NSCLC) remains under exploration. This paper reviews the history of ADC development and delves into the mechanisms underlying their function. It provides a detailed analysis of the various components of ADCs—antibodies, linkers, and cytotoxins—and how their selection impacts the overall efficacy and safety of the drug. Specific targets, such as HER2, and corresponding ADCs are also discussed. Additionally, the challenges associated with ADC application, including poor target specificity and the risk of severe off-target effects, are highlighted as critical areas for ongoing research and development.